2032 lines
718 KiB
CSV
2032 lines
718 KiB
CSV
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HP2020 objective,Objective description,Topic area,Population characteristic,Number of population groups,"Best rate, baseline year(s)","Standard error of best rate, baseline year(s)","Population group with the best rate, baseline year(s)","Average of other rates, baseline year(s)","Standard error of average of other rates, baseline year(s)","Rate ratio, baseline year(s)","Standard error of rate ratio, baseline year(s)","Best rate, final year(s)","Standard error of best rate, final year(s)","Population group with the best rate, final year(s)","Average of other rates, final year(s)","Standard error of average of other rates, final year(s)","Rate ratio, final year(s)","Standard error of rate ratio, final year(s)",Difference in the rate ratio over time,z score of the difference,Disparities change over time status
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AH-1,"AH-1. Adolescents receiving a wellness checkup in the past 12 months (percent, ages 10-17)",AH,Sex,2,68.735163338,1.326000235,Female,68.658070387,1.35814111,1.001122853,0.0276617,83.912250382,0.971210616,Male,81.124545672,1.227282498,1.034363271,0.0197026,0.0332404,0.978775676,Little or no detectable change
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AH-1,"AH-1. Adolescents receiving a wellness checkup in the past 12 months (percent, ages 10-17)",AH,Race and ethnicity,6,75.263351718,1.981832442,"Black or African American only, not Hispanic or Latino",65.741061243,5.223355431,1.144845402,0.09582723,86.506642694,1.717996731,"Black or African American only, not Hispanic or Latino",78.001141546,4.992255626,1.109043291,0.074320032,-0.035802,-0.295227332,Little or no detectable change
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AH-1,"AH-1. Adolescents receiving a wellness checkup in the past 12 months (percent, ages 10-17)",AH,Family income,5,81.354944268,2.053865132,At or above 600% of the poverty threshold,66.869559526,2.485883128,1.216621507,0.0546713,86.969961182,1.51176182,At 400%-599% of the poverty threshold,81.685748032,2.199604879,1.064689536,0.0341241,-0.151931971,-2.357472793,Decrease
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AH-1,"AH-1. Adolescents receiving a wellness checkup in the past 12 months (percent, ages 10-17)",AH,Geographic location,2,70.70995584,1.021048951,Metropolitan,58.167288542,2.813537338,1.215630943,0.061364,83.422174107,0.832360614,Metropolitan,76.467894326,2.379276415,1.090943786,0.035647,-0.124687158,-1.756984877,Little or no detectable change
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AH-2,"AH-2. Adolescents participating in extracurricular or out-of-school activities (percent, ages 12-17)",AH,Sex,2,83.018,0.861,Male,81.827,0.855,1.014555098,0.0149364,83.7872,0.73873,Female,81.68763,0.69245,1.025702423,0.0125451,0.0111473,0.571487399,Little or no detectable change
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AH-2,"AH-2. Adolescents participating in extracurricular or out-of-school activities (percent, ages 12-17)",AH,Race and ethnicity,7,90.292,2.061,Asian only,77.191333333,4.90103989,1.169716808,0.078921396,90.58093,1.76074,Asian only,81.384035,3.989542794,1.113006132,0.0586938,-0.056711,-0.576596367,Little or no detectable change
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AH-2,"AH-2. Adolescents participating in extracurricular or out-of-school activities (percent, ages 12-17)",AH,Family income,4,93.29,0.591,Above 400% of the poverty threshold,75.13,1.939626897,1.241714362,0.0330083,93.22078,0.51919,Above 400% of the poverty threshold,76.270743333,1.552681993,1.222235105,0.025796,-0.019479,-0.464981775,Little or no detectable change
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AH-2,"AH-2. Adolescents participating in extracurricular or out-of-school activities (percent, ages 12-17)",AH,Geographic location,2,82.683,0.836,Nonmetropolitan,82.377,0.75,1.003714629,0.0136565,83.48196,0.56025,Metropolitan,79.85764,1.11555,1.045384762,0.016201,0.0416701,1.966594718,Increase
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AH-3.1,"AH-3.1. Adolescents having an adult in their lives with whom they can discuss serious problems (percent, ages 12-17)",AH,Sex,2,77.1914,0.5239,Male,73.9595,0.5524,1.04369824,0.010533,80.8246884,0.5494938,Male,77.0395957,0.63205408,1.049131783,0.0111786,0.00543354,0.35376423,Little or no detectable change
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AH-3.1,"AH-3.1. Adolescents having an adult in their lives with whom they can discuss serious problems (percent, ages 12-17)",AH,Race and ethnicity,6,76.7265,1.0301,"Black or African American only, not Hispanic or Latino",72.41858,2.293570379,1.059486391,0.0364454,79.9619097,0.56959055,"White only, not Hispanic or Latino",76.82075708,1.928034743,1.040889373,0.0271559,-0.018597,-0.409174489,Little or no detectable change
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AH-3.1,"AH-3.1. Adolescents having an adult in their lives with whom they can discuss serious problems (percent, ages 12-17)",AH,Family income,5,78.12,0.7654,At 400%-599% of the poverty threshold,74.769875,1.34719401,1.044805813,0.0214284,81.5185142,1.03502796,At 400%-599% of the poverty threshold,78.623765225,1.050757902,1.036817735,0.0191128,-0.007988,-0.278197189,Little or no detectable change
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AH-3.1,"AH-3.1. Adolescents having an adult in their lives with whom they can discuss serious problems (percent, ages 12-17)",AH,Geographic location,2,79.2269873,0.44404137,Metropolitan,78.8229488,0.9327655,1.005125899,0.0131609,79.0077219,0.45463323,Metropolitan,78.6742039,0.99492334,1.004239229,0.0139526,-0.00088667,-0.046228,Little or no detectable change
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AH-3.2,"AH-3.2. Adolescents whose parents attend their events and activities (percent, ages 12-17)",AH,Sex,2,82.804,0.834,Male,81.459,0.831,1.016511374,0.0145725,83.7067,0.74963,Female,81.47704,0.81249,1.027365501,0.0137698,0.0108541,0.541378681,Little or no detectable change
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AH-3.2,"AH-3.2. Adolescents whose parents attend their events and activities (percent, ages 12-17)",AH,Race and ethnicity,7,87.834,0.608,"White only, not Hispanic or Latino",76.480833333,3.721226438,1.148444599,0.056441,88.93415,0.49098,"White only, not Hispanic or Latino",74.648806667,6.368656433,1.191367337,0.101853983,0.0429227,0.36860433,Little or no detectable change
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AH-3.2,"AH-3.2. Adolescents whose parents attend their events and activities (percent, ages 12-17)",AH,Family income,4,89.219,0.713,Above 400% of the poverty threshold,75.197,2.042332123,1.186470205,0.0335903,90.19021,0.72151,Above 400% of the poverty threshold,75.757873333,1.907178182,1.190506096,0.0314474,0.00403589,0.087710944,Little or no detectable change
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AH-3.2,"AH-3.2. Adolescents whose parents attend their events and activities (percent, ages 12-17)",AH,Geographic location,2,84.713,0.605,Nonmetropolitan,81.331,0.746,1.04158316,0.0121083,83.77547,1.04248,Nonmetropolitan,82.52964,0.62729,1.015095546,0.0148016,-0.026488,-1.385104522,Little or no detectable change
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AH-4.1,"AH-4.1. Adolescents in foster care who exhibit early readiness for adulthood (percent, age 17)",AH,Sex,2,48.827236,,Female,37.201492,,1.312507466,,51.907829534,,Female,41.487082546,,1.251180521,,-0.061327,,Little or no detectable change
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AH-4.1,"AH-4.1. Adolescents in foster care who exhibit early readiness for adulthood (percent, age 17)",AH,Race and ethnicity,7,45.31886,,Two or more races,41.302361,,1.097246232,,54.961832061,,Asian only,46.14813503,,1.190987069,,0.093740836,,Little or no detectable change
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AH-5.1,AH-5.1. Students graduating from high school within 4 years of starting 9th grade (percent),AH,Race and ethnicity,5,87,,"Asian or Pacific Islander, not Hispanic or Latino",71.75,,1.212543554,,91.2,,"Asian or Pacific Islander, not Hispanic or Latino",79.7,,1.144291092,,-0.068252462,,Little or no detectable change
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AH-5.2,"AH-5.2. Students served under the Individuals with Disabilities Education Act who graduate high school with a diploma (percent, ages 14-21)",AH,Sex,2,61.013941497,,Female,58.046134209,,1.051128423,,72.07053921,,Female,69.654645644,,1.034683883,,-0.016445,,Little or no detectable change
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AH-5.2,"AH-5.2. Students served under the Individuals with Disabilities Education Act who graduate high school with a diploma (percent, ages 14-21)",AH,Race and ethnicity,7,71.171753626,,"White only, not Hispanic or Latino",61.650929633,,1.154431151,,76.370297309,,"Asian only, not Hispanic or Latino",68.67468352,,1.112058963,,-0.042372,,Little or no detectable change
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AH-5.3.1,AH-5.3.1. Fourth graders whose reading skills are at or above grade level (percent),AH,Sex,2,36.13,0.425,Female,29.98,0.398,1.205136758,0.0213758,38.845793396,0.369597685,Female,34.334291378,0.380111012,1.131399305,0.0165157,-0.073737453,-2.729719343,Decrease
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AH-5.3.1,AH-5.3.1. Fourth graders whose reading skills are at or above grade level (percent),AH,Race and ethnicity,6,46.59,1.367,"Asian or Pacific Islander only, not Hispanic or Latino",29.134,0.946077296,1.599162491,0.069988044,56.486102507,1.43798842,"Asian or Pacific Islander only, not Hispanic or Latino",30.205564837,1.20799706,1.870056157,0.088654886,0.270893667,2.398320912,Increase
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AH-5.3.1,AH-5.3.1. Fourth graders whose reading skills are at or above grade level (percent),AH,Disability status,2,35.16,0.405,People without disabilities,12.6,0.493,2.79047619,0.11381596,40.059641738,0.333877972,People without disabilities,12.424767344,0.355817902,3.224176407,0.096164129,0.433700217,2.910699559,Increase
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AH-5.3.2,AH-5.3.2. Eighth graders whose reading skills are at or above grade level (percent),AH,Sex,2,37.32,0.494,Female,27.52,0.391,1.356104651,0.0263335,41.314480243,0.474493737,Female,31.106981878,0.397909796,1.328141714,0.0228321,-0.027963,-0.80230252,Little or no detectable change
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AH-5.3.2,AH-5.3.2. Eighth graders whose reading skills are at or above grade level (percent),AH,Race and ethnicity,6,44.76,1.821,"Asian or Pacific Islander only, not Hispanic or Latino",25.22,0.891578095,1.774781919,0.09565605,55.032023952,1.450102644,"Asian or Pacific Islander only, not Hispanic or Latino",29.819105679,1.317569829,1.845528989,0.094944936,0.07074707,0.524922622,Little or no detectable change
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AH-5.3.2,AH-5.3.2. Eighth graders whose reading skills are at or above grade level (percent),AH,Educational attainment,4,43.87,0.523,4-year college degree,21.793333333,0.700370616,2.013000918,0.068999431,46.632334138,0.449257002,4-year college degree,24.594018275,0.927460869,1.89608439,0.073799375,-0.116916528,-1.157233839,Little or no detectable change
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AH-5.3.2,AH-5.3.2. Eighth graders whose reading skills are at or above grade level (percent),AH,Disability status,2,34.8,0.4,People without disabilities,8.43,0.37,4.128113879,0.187296578,39.771581567,0.375208265,People without disabilities,9.873283152,0.561306695,4.028202266,0.232139318,-0.099911613,-0.334963447,Little or no detectable change
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AH-5.3.3,AH-5.3.3. Twelfth graders whose reading skills are at or above grade level (percent),AH,Sex,2,41.43,0.888,Female,28.91,0.943,1.433068143,0.0559332,41.960162768,0.928246269,Female,32.884515819,0.716549306,1.275985421,0.039621,-0.157082721,-2.291689727,Decrease
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AH-5.3.3,AH-5.3.3. Twelfth graders whose reading skills are at or above grade level (percent),AH,Race and ethnicity,6,43.93,0.955,"White only, not Hispanic or Latino",26.438,3.644080302,1.661623421,0.231860851,47.779360652,2.958848278,"Asian or Pacific Islander only, not Hispanic or Latino",32.31293575,3.559328373,1.478644993,0.186850744,-0.182978428,-0.614476157,Little or no detectable change
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AH-5.3.3,AH-5.3.3. Twelfth graders whose reading skills are at or above grade level (percent),AH,Educational attainment,4,46.67,1.042,4-year college degree,24.58,2.068710468,1.898698129,0.165326291,48.914458,0.960778641,4-year college degree,26.06066759,1.400716319,1.876945701,0.107408003,-0.021752,-0.110332786,Little or no detectable change
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AH-5.3.3,AH-5.3.3. Twelfth graders whose reading skills are at or above grade level (percent),AH,Disability status,2,37.57,0.704,People without disabilities,6.31,1.369,5.954041204,1.296581264,40.02846184,0.662695777,People without disabilities,11.533427041,1.117123528,3.470647683,0.341040845,-2.483393521,-1.852334133,Little or no detectable change
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AH-5.4.1,AH-5.4.1. Fourth graders whose mathematics skills are at or above grade level (percent),AH,Sex,2,40.94,0.38,Male,37.2,0.389,1.100537634,0.0153879,42.190237162,0.43928907,Male,38.129581569,0.367716753,1.106496201,0.0157035,0.00595857,0.271015039,Little or no detectable change
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AH-5.4.1,AH-5.4.1. Fourth graders whose mathematics skills are at or above grade level (percent),AH,Race and ethnicity,6,57.32,1.494,"Asian or Pacific Islander only, not Hispanic or Latino",34.054,0.851809251,1.683209021,0.060806,63.84533822,1.364773928,"Asian or Pacific Islander only, not Hispanic or Latino",33.271167486,1.25569543,1.918938921,0.083232988,0.2357299,2.286905719,Increase
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AH-5.4.1,AH-5.4.1. Fourth graders whose mathematics skills are at or above grade level (percent),AH,Disability status,2,41.56,0.355,People without disabilities,19.11,0.645,2.174777603,0.075717201,43.680779158,0.395084935,People without disabilities,16.104051056,0.5514566,2.712409381,0.096067383,0.537631778,4.395310633,Increase
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AH-5.4.2,AH-5.4.2. Eighth graders whose mathematics skills are at or above grade level (percent),AH,Sex,2,35.6,0.363,Male,32.11,0.436,1.108688882,0.0188262,35.041154617,0.356328897,Male,33.440400685,0.452249339,1.047868862,0.0177305,-0.06082,-2.351790372,Decrease
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AH-5.4.2,AH-5.4.2. Eighth graders whose mathematics skills are at or above grade level (percent),AH,Race and ethnicity,6,53.15,1.675,"Asian or Pacific Islander only, not Hispanic or Latino",25.494,0.893728147,2.084804268,0.098276373,61.639338796,1.529947492,"Asian or Pacific Islander only, not Hispanic or Latino",26.485942544,1.218778796,2.32724732,0.121676494,0.242443052,1.550069616,Little or no detectable change
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AH-5.4.2,AH-5.4.2. Eighth graders whose mathematics skills are at or above grade level (percent),AH,Educational attainment,4,46.91,0.446,4-year college degree,21.906666667,0.720222535,2.141357273,0.07328581,45.685018179,0.422198661,4-year college degree,21.096628726,0.885361988,2.165512735,0.093057445,0.0241555,0.203928914,Little or no detectable change
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AH-5.4.2,AH-5.4.2. Eighth graders whose mathematics skills are at or above grade level (percent),AH,Disability status,2,36.53,0.363,People without disabilities,9.17,0.378,3.983642312,0.16891519,37.86876905,0.345188208,People without disabilities,8.743520474,0.45561421,4.33106655,0.229113642,0.347424238,1.220532969,Little or no detectable change
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AH-5.4.3,AH-5.4.3. Twelfth graders whose mathematics skills are at or above grade level (percent),AH,Sex,2,25.07,0.971,Male,21.06,0.765,1.190408357,0.063210832,26.239503599,0.746042273,Male,22.723837249,0.725532552,1.154712706,0.0493671,-0.035696,-0.445059439,Little or no detectable change
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AH-5.4.3,AH-5.4.3. Twelfth graders whose mathematics skills are at or above grade level (percent),AH,Race and ethnicity,5,33.83,2.616,"Asian or Pacific Islander only, not Hispanic or Latino",15.8025,1.674496939,2.140800506,0.280828408,46.16258224,2.552813935,"Asian or Pacific Islander only, not Hispanic or Latino",20.328451259,1.942256199,2.270836162,0.250685822,0.130035656,0.345434178,Little or no detectable change
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AH-5.4.3,AH-5.4.3. Twelfth graders whose mathematics skills are at or above grade level (percent),AH,Educational attainment,4,34.26,0.967,4-year college degree,12.186666667,1.40023016,2.811269147,0.332614168,36.80717506,0.948261763,4-year college degree,12.499397443,1.154466698,2.944715953,0.282361717,0.133446807,0.305858088,Little or no detectable change
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AH-5.4.3,AH-5.4.3. Twelfth graders whose mathematics skills are at or above grade level (percent),AH,Disability status,2,24.39,0.717,People without disabilities,4.55,1.206,5.36043956,1.429523051,26.311077132,0.70982836,People without disabilities,5.691623502,1.012933851,4.62277189,0.832110188,-0.737667671,-0.445971583,Little or no detectable change
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AH-5.5,"AH-5.5. Adolescents who consider school work to be meaningful and important (percent, ages 12-17)",AH,Sex,2,27.1365,0.6076,Female,25.6723,0.5812,1.057034235,0.0336573,23.6950456,0.62478042,Male,23.1449548,0.60243724,1.023767201,0.0379312,-0.033267,-0.656013556,Little or no detectable change
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AH-5.5,"AH-5.5. Adolescents who consider school work to be meaningful and important (percent, ages 12-17)",AH,Race and ethnicity,7,38.6564,1.2103,"Black or African American only, not Hispanic or Latino",28.6181,3.087217825,1.350767521,0.15172904,35.1650344,5.37052463,Native Hawaiian or Other Pacific Islander only,25.694327667,1.790456955,1.368591343,0.229744713,0.0178238,0.064737184,Little or no detectable change
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AH-5.5,"AH-5.5. Adolescents who consider school work to be meaningful and important (percent, ages 12-17)",AH,Family income,5,36.073,1.1366,Below the poverty threshold (<100%),24.243475,1.267727139,1.487946757,0.090840015,32.3972402,1.00953509,Below the poverty threshold (<100%),20.91776555,1.110120718,1.548790674,0.09531693,0.0608439,0.462090847,Little or no detectable change
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AH-5.5,"AH-5.5. Adolescents who consider school work to be meaningful and important (percent, ages 12-17)",AH,Geographic location,2,28.0517355,0.48516153,Metropolitan,27.2749957,1.06385956,1.028478091,0.0438825,24.6854468,1.00294862,Nonmetropolitan,23.2175562,0.48731457,1.063223303,0.0486216,0.0347452,0.530492961,Little or no detectable change
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AH-5.6,"AH-5.6. Adolescents missing school for 11 or more days due to illness or injury (percent, ages 12-17)",AH,Sex,2,4.498292444,0.604524625,Male,5.525736266,0.765988951,1.22840752,0.23717077,4.961479438,0.625995446,Male,5.115505572,0.619525057,1.031044396,0.18031823,-0.197363124,-0.662439189,Little or no detectable change
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AH-5.6,"AH-5.6. Adolescents missing school for 11 or more days due to illness or injury (percent, ages 12-17)",AH,Race and ethnicity,3,4.645239013,0.94770228,Hispanic or Latino,5.698523151,1.248976254,1.226744875,0.367328318,3.737918552,1.110609221,"Black or African American only, not Hispanic or Latino",4.840924486,1.232880999,1.295085599,0.506809574,0.068340724,0.109183019,Little or no detectable change
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AH-5.6,"AH-5.6. Adolescents missing school for 11 or more days due to illness or injury (percent, ages 12-17)",AH,Family income,5,2.879445925,0.76247888,At 400%-599% of the poverty threshold,5.49231867,1.342403848,1.907422057,0.687354876,3.635266824,0.918752517,At or above 600% of the poverty threshold,5.495481866,1.237430121,1.511713481,0.511702413,-0.395708576,-0.461785037,Little or no detectable change
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AH-5.6,"AH-5.6. Adolescents missing school for 11 or more days due to illness or injury (percent, ages 12-17)",AH,Geographic location,2,4.943385743,0.541117486,Metropolitan,5.336157204,1.23707601,1.079453937,0.276742223,4.812932083,0.460621627,Metropolitan,6.631407271,1.420821943,1.377831051,0.323321737,0.298377114,0.701097572,Little or no detectable change
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AH-7,"AH-7. Adolescents who have been offered, sold, or given an illegal drug on school property (percent, grades 9-12)",AH,Sex,2,19.305638358,1.013300298,Female,25.872268696,1.359901243,1.340140544,0.099547188,18.663977062,0.975336815,Female,20.927311493,0.771837618,1.121267532,0.071718523,-0.218873012,-1.783930602,Little or no detectable change
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AH-7,"AH-7. Adolescents who have been offered, sold, or given an illegal drug on school property (percent, grades 9-12)",AH,Race and ethnicity,7,19.42346853,1.849471362,Asian only,27.469211514,2.446945569,1.414227921,0.184402042,17.668750083,1.041963245,"White only, not Hispanic or Latino",22.358900903,2.155622378,1.265448931,0.143015901,-0.14877899,-0.637546864,Little or no detectable change
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AH-8,"AH-8. Adolescents whose parents consider them to be safe at school (percent, ages 12-17)",AH,Sex,2,87.16,0.653,Female,85.505,0.876,1.019355593,0.0129378,91.52116,0.55558,Male,90.31023,0.59505,1.013408558,0.0090792,-0.005947,-0.376260054,Little or no detectable change
|
|||
|
AH-8,"AH-8. Adolescents whose parents consider them to be safe at school (percent, ages 12-17)",AH,Race and ethnicity,7,92.767,0.435,"White only, not Hispanic or Latino",81.209666667,3.561387735,1.142314749,0.0503809,95.12168,0.30255,"White only, not Hispanic or Latino",88.192213333,2.982124335,1.078572318,0.0366317,-0.063742431,-1.023307225,Little or no detectable change
|
|||
|
AH-8,"AH-8. Adolescents whose parents consider them to be safe at school (percent, ages 12-17)",AH,Family income,4,95.158,0.395,Above 400% of the poverty threshold,80.262,1.786248723,1.185592186,0.0268407,97.31891,0.38026,Above 400% of the poverty threshold,87.07495,1.314596407,1.117645316,0.0174294,-0.06794687,-2.123127829,Decrease
|
|||
|
AH-8,"AH-8. Adolescents whose parents consider them to be safe at school (percent, ages 12-17)",AH,Geographic location,2,89.191,0.517,Nonmetropolitan,85.484,0.689,1.04336484,0.0103584,91.79354,0.64668,Nonmetropolitan,90.91191,0.45973,1.009697629,0.0087561,-0.033667,-2.482209672,Decrease
|
|||
|
AH-10,AH-10. Schools with a serious violent incident (percent),AH,Geographic location,4,14.4,1.59,Rural,18.4,2.508655018,1.277777778,0.224177804,13.2414,1.50571,Rural,17.592143333,2.568150409,1.328571249,0.245844797,0.0507935,0.152666307,Little or no detectable change
|
|||
|
AH-11.1,"AH-11.1. Arrests of minors and young adults for serious violent crimes (per 100,000 population, ages 10-24)",AH,Sex,2,155.9,,Female,716.7,,4.597177678,,125.636452199,,Female,512.144805259,,4.076402957,,-0.520774721,,Decrease
|
|||
|
AH-11.2,"AH-11.2. Arrests of minors and young adults for serious property crimes (per 100,000 population, ages 10-24)",AH,Sex,2,1114.1,,Female,1917.6,,1.721209945,,497.374116376,,Female,922.145383388,,1.854027689,,0.132817743,,Increase
|
|||
|
AH-11.3,"AH-11.3. Secondary school students who report the presence of gangs at school (percent, ages 12-18)",AH,Sex,2,11.965283761,0.896763299,Female,12.853317796,0.910871224,1.074217549,0.110801496,10.447022964,0.885210005,Female,10.8984328,0.893354151,1.043209423,0.122987913,-0.031008,-0.187316691,Little or no detectable change
|
|||
|
AH-11.3,"AH-11.3. Secondary school students who report the presence of gangs at school (percent, ages 12-18)",AH,Race and ethnicity,5,7.427828465,0.670251263,"White only, not Hispanic or Latino",15.107642065,2.399331499,2.033924469,0.371517479,4.088079726,1.35028678,Asian only,13.465270939,2.127894318,3.293788732,1.206039903,1.259864263,0.998334773,Little or no detectable change
|
|||
|
AH-11.3,"AH-11.3. Secondary school students who report the presence of gangs at school (percent, ages 12-18)",AH,Family income,5,8.641530366,0.905678716,"More than $75,000 income",14.524657148,1.924382786,1.680796865,0.283940094,7.648104356,0.876853207,"More than $75,000 income",13.322552257,1.946848329,1.741941746,0.323546921,0.0611449,0.142042079,Little or no detectable change
|
|||
|
AH-11.3,"AH-11.3. Secondary school students who report the presence of gangs at school (percent, ages 12-18)",AH,Geographic location,3,6.790340314,1.058595119,Rural,14.549531484,1.561743505,2.142680751,0.405560106,3.923538499,0.801240244,Rural,12.708668895,1.54952772,3.239083521,0.770393936,1.096402769,1.259330101,Little or no detectable change
|
|||
|
AHS-1.1,"AHS-1.1. Persons with medical insurance (percent, under age 65)",AHS,Sex,2,84.631486979,0.32141336,Female,81.671862867,0.326335604,1.03623799,0.00571237,90.07412847,0.26348577,Female,87.860436781,0.279612981,1.025195546,0.00443152,-0.011042,-1.527357591,Little or no detectable change
|
|||
|
AHS-1.1,"AHS-1.1. Persons with medical insurance (percent, under age 65)",AHS,Race and ethnicity,7,87.510010973,0.328402645,"White only, not Hispanic or Latino",78.018512032,3.146773645,1.121657011,0.045436,92.635337076,0.702095009,Asian only,85.305048563,1.769948706,1.085930301,0.0239876,-0.035727,-0.695352691,Little or no detectable change
|
|||
|
AHS-1.1,"AHS-1.1. Persons with medical insurance (percent, under age 65)",AHS,Educational attainment,6,95.547867772,0.393372147,Advanced degree,79.461708948,0.713609923,1.202439125,0.0118792,96.206737018,0.30426627,Advanced degree,84.166203753,0.7252469,1.143056628,0.010492,-0.059382,-3.746711023,Decrease
|
|||
|
AHS-1.1,"AHS-1.1. Persons with medical insurance (percent, under age 65)",AHS,Family income,5,95.028012233,0.337289384,At or above 600% of the poverty threshold,79.100218022,0.758628693,1.201362204,0.0122857,96.781715058,0.270175345,At or above 600% of the poverty threshold,86.122290691,0.67109403,1.123770795,0.0093018,-0.077591409,-5.035214437,Decrease
|
|||
|
AHS-1.1,"AHS-1.1. Persons with medical insurance (percent, under age 65)",AHS,Disability status,2,86.092337852,0.674445344,People with disabilities,81.894543164,0.334038467,1.05125854,0.009285,88.383968322,0.738397924,People with disabilities,87.164604884,0.36724983,1.013989204,0.0094876,-0.037269,-2.80748293,Decrease
|
|||
|
AHS-1.1,"AHS-1.1. Persons with medical insurance (percent, under age 65)",AHS,Geographic location,2,83.573550275,0.310834991,Metropolitan,80.942013076,0.763069912,1.032511388,0.010464,89.38993688,0.252152557,Metropolitan,86.011101863,0.899642881,1.039283708,0.0112589,0.00677232,0.440600007,Little or no detectable change
|
|||
|
AHS-1.2,"AHS-1.2. Persons with dental insurance (percent, under age 65)",AHS,Sex,2,50.620621601,0.508456715,Female,50.019500369,0.517658353,1.012017738,0.0145954,54.463871026,0.536205735,Female,54.372408787,0.516837523,1.001682144,0.0137081,-0.010336,-0.516175093,Little or no detectable change
|
|||
|
AHS-1.2,"AHS-1.2. Persons with dental insurance (percent, under age 65)",AHS,Race and ethnicity,7,56.956211399,0.584490962,"White only, not Hispanic or Latino",39.82643887,4.49492527,1.430110575,0.162072187,61.968117905,0.543711309,"White only, not Hispanic or Latino",44.828999184,3.454758944,1.382322136,0.107217238,-0.047788,-0.245917823,Little or no detectable change
|
|||
|
AHS-1.2,"AHS-1.2. Persons with dental insurance (percent, under age 65)",AHS,Educational attainment,6,72.533370298,0.975676162,Advanced degree,50.109635565,0.924843176,1.447493471,0.033058,77.169583635,0.778627328,Advanced degree,51.126177048,0.906413103,1.509394758,0.0307902,0.0619013,1.370226638,Little or no detectable change
|
|||
|
AHS-1.2,"AHS-1.2. Persons with dental insurance (percent, under age 65)",AHS,Family income,5,72.453540368,0.843385984,At or above 600% of the poverty threshold,41.550845912,1.049914592,1.743732017,0.0485115,80.212869863,0.686373649,At or above 600% of the poverty threshold,43.662311419,0.96079177,1.837119183,0.0433748,0.093387165,1.435072766,Little or no detectable change
|
|||
|
AHS-1.2,"AHS-1.2. Persons with dental insurance (percent, under age 65)",AHS,Disability status,2,51.612382707,0.546967546,People without disabilities,31.092433249,1.01785302,1.659966021,0.0571177,59.383127995,0.591489925,People without disabilities,33.934518409,1.072786839,1.749932835,0.0580024,0.089966814,1.105180834,Little or no detectable change
|
|||
|
AHS-1.2,"AHS-1.2. Persons with dental insurance (percent, under age 65)",AHS,Geographic location,2,51.789554714,0.527039562,Metropolitan,42.547328101,1.089004742,1.217222256,0.0335272,55.783597612,0.515405629,Metropolitan,44.728477655,1.688745272,1.247160658,0.0484766,0.0299384,0.507937657,Little or no detectable change
|
|||
|
AHS-1.3,"AHS-1.3. Persons with prescription drug insurance (percent, under age 65)",AHS,Sex,2,62.633921323,0.499868646,Female,61.778055537,0.498258195,1.01385388,0.0115037,61.302839833,0.52582221,Male,60.903487379,0.548684667,1.006557136,0.0125209,-0.0072967,-0.429141428,Little or no detectable change
|
|||
|
AHS-1.3,"AHS-1.3. Persons with prescription drug insurance (percent, under age 65)",AHS,Race and ethnicity,7,71.282798471,0.540833672,"White only, not Hispanic or Latino",48.602059412,4.413633269,1.466662099,0.133654053,70.420380035,0.509783354,"White only, not Hispanic or Latino",48.557722941,3.808781871,1.450240575,0.114237736,-0.016422,-0.093398135,Little or no detectable change
|
|||
|
AHS-1.3,"AHS-1.3. Persons with prescription drug insurance (percent, under age 65)",AHS,Educational attainment,6,88.193891488,0.624812727,Advanced degree,63.568624012,0.845309015,1.387380848,0.0209038,85.415519032,0.615891246,Advanced degree,59.249078701,0.892041994,1.441634552,0.0240657,0.0542537,1.701983783,Little or no detectable change
|
|||
|
AHS-1.3,"AHS-1.3. Persons with prescription drug insurance (percent, under age 65)",AHS,Family income,5,88.280509699,0.555359055,At or above 600% of the poverty threshold,51.683123488,1.00159991,1.70811096,0.0348029,88.909233782,0.49694283,At or above 600% of the poverty threshold,49.300320487,0.942948953,1.80342101,0.035936,0.09531005,1.905194793,Little or no detectable change
|
|||
|
AHS-1.3,"AHS-1.3. Persons with prescription drug insurance (percent, under age 65)",AHS,Disability status,2,62.945358513,0.534121126,People without disabilities,40.212115323,1.058654131,1.565333184,0.0432978,68.597655073,0.558663786,People without disabilities,41.023707554,1.119466293,1.672146648,0.0476188,0.106813464,1.659616731,Little or no detectable change
|
|||
|
AHS-1.3,"AHS-1.3. Persons with prescription drug insurance (percent, under age 65)",AHS,Geographic location,2,63.289639984,0.511530066,Metropolitan,56.487748447,1.13550154,1.120413572,0.0242746,62.131580274,0.527996624,Metropolitan,53.777318918,1.742748567,1.155349161,0.038707,0.0349356,0.764637939,Little or no detectable change
|
|||
|
AHS-3,AHS-3. Persons with a usual primary care provider (percent),AHS,Sex,2,79.926677,0.507459,Female,72.623626,0.571304,1.100560264,0.0111257,79.527,0.53153,Female,73.2169,0.58009,1.086183654,0.0112588,-0.014377,-0.908271568,Little or no detectable change
|
|||
|
AHS-3,AHS-3. Persons with a usual primary care provider (percent),AHS,Race and ethnicity,6,80.083239,0.542199,"White only, not Hispanic or Latino",71.2944552,3.334886846,1.123274437,0.0530901,79.6058,0.66267,"White only, not Hispanic or Latino",73.00956,2.568437374,1.09034762,0.0394171,-0.032927,-0.49796237,Little or no detectable change
|
|||
|
AHS-3,AHS-3. Persons with a usual primary care provider (percent),AHS,Educational attainment,5,80.567241,1.221636,Advanced degree,71.975806,1.140236187,1.119365596,0.0245466,78.4034,1.21076,Advanced degree,72.70325,1.171836065,1.07840296,0.024072,-0.040963,-1.191460046,Little or no detectable change
|
|||
|
AHS-3,AHS-3. Persons with a usual primary care provider (percent),AHS,Family income,5,81.935174,0.876398,At or above 600% of the poverty threshold,74.5286685,1.090577962,1.099377939,0.0199268,79.7616,0.93066,At or above 600% of the poverty threshold,75.234375,1.025185596,1.060174953,0.019019,-0.039203,-1.423166066,Little or no detectable change
|
|||
|
AHS-3,AHS-3. Persons with a usual primary care provider (percent),AHS,Disability status,2,86.132398289,0.76609645,People with either basic or complex activity limitations,71.202545,0.5576074,1.209681456,0.0143356,84.882806149,0.81220755,People with either basic or complex activity limitations,69.8517,0.61097,1.215185975,0.0157535,0.00550452,0.258430297,Little or no detectable change
|
|||
|
AHS-3,AHS-3. Persons with a usual primary care provider (percent),AHS,Geographic location,2,78.572126,1.127398,Nonmetropolitan,75.906156,0.53426,1.035121921,0.0165432,83.2503,1.23241,Nonmetropolitan,75.3258,0.50952,1.105202998,0.0179881,0.070081077,2.867626562,Increase
|
|||
|
AHS-5.1,"AHS-5.1. Persons with a source of ongoing care (percent, all ages)",AHS,Sex,2,90.142198893,0.320845616,Female,82.488398704,0.478635589,1.092786383,0.00743877,90.28994866,0.342725984,Female,84.676240019,0.407638622,1.066296149,0.006537,-0.02649,-2.674996135,Decrease
|
|||
|
AHS-5.1,"AHS-5.1. Persons with a source of ongoing care (percent, all ages)",AHS,Race and ethnicity,6,89.049587654,0.366676247,"White only, not Hispanic or Latino",83.457566048,1.990142181,1.06700437,0.0258205,89.859487029,0.305278069,"White only, not Hispanic or Latino",85.221285059,1.640645051,1.054425393,0.020613,-0.012579,-0.380727862,Little or no detectable change
|
|||
|
AHS-5.1,"AHS-5.1. Persons with a source of ongoing care (percent, all ages)",AHS,Educational attainment,6,91.953617182,0.725946584,Advanced degree,85.101893761,0.883687088,1.080511997,0.0140944,91.248454138,0.625214793,Advanced degree,85.563959152,0.880936622,1.066435624,0.0131888,-0.014076,-0.729240805,Little or no detectable change
|
|||
|
AHS-5.1,"AHS-5.1. Persons with a source of ongoing care (percent, all ages)",AHS,Family income,5,92.930812487,0.500678166,At or above 600% of the poverty threshold,84.135047243,0.828523906,1.104543416,0.0123985,92.457339407,0.420973008,At or above 600% of the poverty threshold,85.609845515,0.764719618,1.079984888,0.010828,-0.024559,-1.491907746,Little or no detectable change
|
|||
|
AHS-5.1,"AHS-5.1. Persons with a source of ongoing care (percent, all ages)",AHS,Disability status,2,89.659904751,0.697887441,People with disabilities,80.781352995,0.509478735,1.109908431,0.0111192,91.278512758,0.678943432,People with disabilities,84.536361726,0.516807949,1.07975445,0.010396,-0.030154,-1.980930003,Decrease
|
|||
|
AHS-5.1,"AHS-5.1. Persons with a source of ongoing care (percent, all ages)",AHS,Geographic location,2,87.395788439,0.782197565,Nonmetropolitan,86.195657306,0.339208003,1.013923336,0.0099132,89.114888274,0.858832413,Nonmetropolitan,87.315849492,0.314755402,1.020603806,0.0105015,0.00668047,0.462594037,Little or no detectable change
|
|||
|
AHS-5.2,"AHS-5.2. Children and youth with a source of ongoing care (percent, ages 17 years and under)",AHS,Sex,2,94.703864662,0.422076676,Female,93.925676513,0.472431009,1.008285148,0.00677598,96.143148143,0.338607879,Male,94.398950122,0.526672358,1.018476879,0.00671975,0.0101917,1.067979413,Little or no detectable change
|
|||
|
AHS-5.2,"AHS-5.2. Children and youth with a source of ongoing care (percent, ages 17 years and under)",AHS,Race and ethnicity,6,95.879660802,0.420561917,"White only, not Hispanic or Latino",92.965199009,2.397822259,1.03135003,0.0269832,96.975443138,0.307636915,"White only, not Hispanic or Latino",93.91119201,1.724386398,1.032629243,0.0192419,0.00127921,0.0385988,Little or no detectable change
|
|||
|
AHS-5.2,"AHS-5.2. Children and youth with a source of ongoing care (percent, ages 17 years and under)",AHS,Family income,5,98.315027404,0.480017213,At 400%-599% of the poverty threshold,93.831802457,0.876199523,1.047779376,0.0110408,97.565911494,0.451372126,At 400%-599% of the poverty threshold,94.848693221,0.850901151,1.028647925,0.0103829,-0.019131,-1.262298773,Little or no detectable change
|
|||
|
AHS-5.2,"AHS-5.2. Children and youth with a source of ongoing care (percent, ages 17 years and under)",AHS,Geographic location,2,94.359033441,0.335009056,Metropolitan,94.03412726,0.930691469,1.003455194,0.0105512,95.328140768,0.318553833,Metropolitan,94.996578391,1.130930671,1.003490256,0.0124082,0.000035062,0.00215263,Little or no detectable change
|
|||
|
AHS-5.3,"AHS-5.3. Adults with a source of ongoing care (percent, ages 18-64)",AHS,Sex,2,86.960342884,0.44834204,Female,75.455047359,0.688454814,1.152478806,0.0120779,87.186311461,0.489777692,Female,77.651758204,0.601264972,1.122786058,0.0107408,-0.029693,-1.83708392,Little or no detectable change
|
|||
|
AHS-5.3,"AHS-5.3. Adults with a source of ongoing care (percent, ages 18-64)",AHS,Race and ethnicity,6,84.968756565,0.510478391,"White only, not Hispanic or Latino",76.156525401,3.036406142,1.115712096,0.0449863,85.506964868,0.446737513,"White only, not Hispanic or Latino",79.300838619,2.585867283,1.078260537,0.0356087,-0.037452,-0.652764774,Little or no detectable change
|
|||
|
AHS-5.3,"AHS-5.3. Adults with a source of ongoing care (percent, ages 18-64)",AHS,Educational attainment,6,91.95166714,0.726243223,Advanced degree,85.101595407,0.883729262,1.080492871,0.0140968,91.248454138,0.625212832,Advanced degree,85.563959152,0.880919486,1.066435624,0.0131886,-0.014057,-0.728187996,Little or no detectable change
|
|||
|
AHS-5.3,"AHS-5.3. Adults with a source of ongoing care (percent, ages 18-64)",AHS,Family income,5,91.126254801,0.628394753,At or above 600% of the poverty threshold,76.840653403,1.20582101,1.185912024,0.0203275,90.112549398,0.579115354,At or above 600% of the poverty threshold,78.920522737,1.134882868,1.141813894,0.0179845,-0.044098,-1.624763626,Little or no detectable change
|
|||
|
AHS-5.3,"AHS-5.3. Adults with a source of ongoing care (percent, ages 18-64)",AHS,Disability status,2,85.270430344,1.050696649,People with disabilities,78.62338194,0.557890989,1.084542896,0.0154211,87.920405047,1.054856463,People with disabilities,82.636465141,0.591215352,1.063941989,0.0148623,-0.020601,-0.961885655,Little or no detectable change
|
|||
|
AHS-5.3,"AHS-5.3. Adults with a source of ongoing care (percent, ages 18-64)",AHS,Geographic location,2,82.342809079,1.156997992,Nonmetropolitan,81.103246194,0.475111745,1.015283764,0.0154559,84.936302775,1.199853339,Nonmetropolitan,82.165380251,0.455789936,1.033723723,0.0156884,0.01844,0.837304245,Little or no detectable change
|
|||
|
AHS-5.4,"AHS-5.4. Adults with a source of ongoing care (percent, ages 65 and over)",AHS,Sex,2,96.630475696,0.421628305,Female,95.788641389,0.519909324,1.008788456,0.00702526,96.080324727,0.372018259,Female,95.535181333,0.428086156,1.005706206,0.00595584,-0.0030823,-0.334659078,Little or no detectable change
|
|||
|
AHS-5.4,"AHS-5.4. Adults with a source of ongoing care (percent, ages 65 and over)",AHS,Race and ethnicity,4,98.847431509,0.554430942,Asian only,94.655108517,1.599551709,1.04429051,0.0185939,96.230083866,0.30320877,"White only, not Hispanic or Latino",94.672320251,1.624906206,1.016454267,0.0177374,-0.027836,-1.083238182,Little or no detectable change
|
|||
|
AHS-5.4,"AHS-5.4. Adults with a source of ongoing care (percent, ages 65 and over)",AHS,Educational attainment,6,91.95166714,0.726243223,Advanced degree,85.101595407,0.883729262,1.080492871,0.0140968,91.248454138,0.625212832,Advanced degree,85.563959152,0.880919486,1.066435624,0.0131886,-0.014057,-0.728187996,Little or no detectable change
|
|||
|
AHS-5.4,"AHS-5.4. Adults with a source of ongoing care (percent, ages 65 and over)",AHS,Family income,5,98.204486637,0.507569678,At 400%-599% of the poverty threshold,95.392499208,1.048540756,1.029478077,0.0125044,97.502500049,0.624487907,At or above 600% of the poverty threshold,95.127820827,0.891826037,1.024963036,0.0116374,-0.004515,-0.264317775,Little or no detectable change
|
|||
|
AHS-5.4,"AHS-5.4. Adults with a source of ongoing care (percent, ages 65 and over)",AHS,Disability status,2,96.437166685,0.641573941,People with disabilities,96.144216086,0.563723608,1.003046991,0.0088948,95.897349603,0.663333546,People with disabilities,95.721479801,0.523743032,1.001837308,0.0088357,-0.0012097,-0.096485532,Little or no detectable change
|
|||
|
AHS-5.4,"AHS-5.4. Adults with a source of ongoing care (percent, ages 65 and over)",AHS,Geographic location,2,96.442530905,0.366737262,Metropolitan,95.664552623,0.70859089,1.008132357,0.0083938,95.997582813,0.31855901,Metropolitan,94.991691077,0.71887654,1.01058926,0.0083509,0.0024569,0.20750293,Little or no detectable change
|
|||
|
AHS-6.1,"AHS-6.1. Persons unable to obtain or delaying needed medical care, dental care, or prescription medications (percent)",AHS,Sex,2,9.09984,0.335009,Male,10.813375,0.371632,1.18830386,0.0598471,9.0149,0.3918,Male,10.9491,0.3573,1.214555902,0.066009661,0.026252,0.294633128,Little or no detectable change
|
|||
|
AHS-6.1,"AHS-6.1. Persons unable to obtain or delaying needed medical care, dental care, or prescription medications (percent)",AHS,Race and ethnicity,6,5.462292,0.925014,Asian only,9.6018522,1.30950006,1.757843081,0.382214075,6.8833,0.8207,Asian only,10.27416,1.677528753,1.492621272,0.301772245,-0.265221809,-0.544620428,Little or no detectable change
|
|||
|
AHS-6.1,"AHS-6.1. Persons unable to obtain or delaying needed medical care, dental care, or prescription medications (percent)",AHS,Educational attainment,5,9.012469,0.839801,Advanced degree,11.35537225,0.710691396,1.25996242,0.141430209,10.5017,0.5888,4-year college degree,12.6144,0.907688594,1.201176952,0.109572524,-0.058785,-0.328576389,Little or no detectable change
|
|||
|
AHS-6.1,"AHS-6.1. Persons unable to obtain or delaying needed medical care, dental care, or prescription medications (percent)",AHS,Family income,5,6.215908,0.44811,At or above 600% of the poverty threshold,11.445374,0.778069367,1.841303636,0.182451929,7.7921,0.581,At or above 600% of the poverty threshold,11.02445,0.705977408,1.414823988,0.139059191,-0.426479647,-1.859077307,Little or no detectable change
|
|||
|
AHS-6.1,"AHS-6.1. Persons unable to obtain or delaying needed medical care, dental care, or prescription medications (percent)",AHS,Disability status,2,9.9118872,0.3661197,People with neither basic nor complex activity limitations,26.973107907,1.263511176,2.721288829,0.162337485,8.7047,0.3465,People with neither basic nor complex activity limitations,26.686239437,0.88459325,3.065727646,0.15880672,0.344438817,1.516703717,Little or no detectable change
|
|||
|
AHS-6.1,"AHS-6.1. Persons unable to obtain or delaying needed medical care, dental care, or prescription medications (percent)",AHS,Geographic location,2,9.867767,0.315215,Metropolitan,10.509576,0.823993,1.065040956,0.090168177,9.8584,0.3258,Metropolitan,10.9051,0.9946,1.106173416,0.10730752,0.0411325,0.293465065,Little or no detectable change
|
|||
|
AHS-6.2,AHS-6.2. Persons unable to obtain or delaying needed medical care (percent),AHS,Sex,2,4.266167,0.223671,Male,5.07301,0.251757,1.189125977,0.085844828,3.8184,0.21239,Male,4.3077,0.21919,1.128142678,0.085045823,-0.060983,-0.504664622,Little or no detectable change
|
|||
|
AHS-6.2,AHS-6.2. Persons unable to obtain or delaying needed medical care (percent),AHS,Race and ethnicity,5,2.819434,0.726317,Asian only,4.521927,0.690378978,1.603842119,0.480276738,2.8672,0.30992,Hispanic or Latino,3.66525,0.567615644,1.278337751,0.241422015,-0.325504368,-0.605543322,Little or no detectable change
|
|||
|
AHS-6.2,AHS-6.2. Persons unable to obtain or delaying needed medical care (percent),AHS,Educational attainment,5,4.713095,0.497352,4-year college degree,5.31349075,0.54806301,1.12738885,0.166360167,4.0738,0.35317,4-year college degree,5.269,0.569684231,1.29338701,0.179243147,0.16599816,0.67879533,Little or no detectable change
|
|||
|
AHS-6.2,AHS-6.2. Persons unable to obtain or delaying needed medical care (percent),AHS,Family income,5,2.878776,0.297121,At or above 600% of the poverty threshold,5.52037675,0.549924691,1.917612468,0.275069325,2.9647,0.31644,At 400%-599% of the poverty threshold,4.514075,0.440830302,1.522607684,0.220275693,-0.395004784,-1.120904554,Little or no detectable change
|
|||
|
AHS-6.2,AHS-6.2. Persons unable to obtain or delaying needed medical care (percent),AHS,Disability status,2,4.1830107,0.2016817,People with neither basic nor complex activity limitations,12.839641792,0.793441232,3.06947381,0.240585042,3.3265,0.19475,People with neither basic nor complex activity limitations,12.016751854,0.638414231,3.61243104,0.285587737,0.54295723,1.454017287,Little or no detectable change
|
|||
|
AHS-6.2,AHS-6.2. Persons unable to obtain or delaying needed medical care (percent),AHS,Geographic location,2,4.621126,0.19972,Metropolitan,4.964679,0.56489,1.074344002,0.130762126,3.9352,0.17417,Metropolitan,4.8989,0.49257,1.244892255,0.136760439,0.170548253,0.901348441,Little or no detectable change
|
|||
|
AHS-6.3,AHS-6.3. Persons unable to obtain or delaying needed dental care (percent),AHS,Sex,2,4.997438,0.233916,Male,5.915024,0.282742,1.183611282,0.079185406,4.2944,0.2359,Male,5.3744,0.2533,1.251490313,0.09058267,0.067879031,0.564180555,Little or no detectable change
|
|||
|
AHS-6.3,AHS-6.3. Persons unable to obtain or delaying needed dental care (percent),AHS,Race and ethnicity,5,3.230197,0.726786,Asian only,5.514095,0.686967351,1.707046041,0.439029488,3.8544,0.6655,Asian only,5.3959,0.655685867,1.399932545,0.295572962,-0.307113496,-0.580275706,Little or no detectable change
|
|||
|
AHS-6.3,AHS-6.3. Persons unable to obtain or delaying needed dental care (percent),AHS,Educational attainment,5,3.298805,0.518047,Advanced degree,6.35904225,0.532771214,1.927680554,0.343111892,4.3926,0.6216,Advanced degree,6.05265,0.554142184,1.377919683,0.232241219,-0.549760871,-1.326896513,Little or no detectable change
|
|||
|
AHS-6.3,AHS-6.3. Persons unable to obtain or delaying needed dental care (percent),AHS,Family income,5,2.368216,0.296595,At or above 600% of the poverty threshold,6.593715,0.601929388,2.784254055,0.43150173,2.7651,0.3941,At or above 600% of the poverty threshold,5.744125,0.538009123,2.077366099,0.354289688,-0.706887956,-1.266111003,Little or no detectable change
|
|||
|
AHS-6.3,AHS-6.3. Persons unable to obtain or delaying needed dental care (percent),AHS,Disability status,2,5.7073179,0.2568288,People with neither basic nor complex activity limitations,14.511236838,0.99083202,2.54256677,0.207919092,4.4158,0.242,People with neither basic nor complex activity limitations,11.654681763,0.63525174,2.639313774,0.20400224,0.096747004,0.33213803,Little or no detectable change
|
|||
|
AHS-6.3,AHS-6.3. Persons unable to obtain or delaying needed dental care (percent),AHS,Geographic location,2,4.969949,0.531643,Nonmetropolitan,5.561829,0.237869,1.119091765,0.128924125,4.357,0.5839,Nonmetropolitan,4.9246,0.228,1.130273124,0.160257165,0.0111814,0.0543632,Little or no detectable change
|
|||
|
AHS-6.4,AHS-6.4. Persons unable to obtain or delaying receipt of needed prescription medications (percent),AHS,Sex,2,2.665837,0.178537,Male,3.576495,0.18698,1.341603031,0.113984951,3.1478,0.24578,Male,3.9216,0.21249,1.245822479,0.11840189,-0.095780552,-0.582776954,Little or no detectable change
|
|||
|
AHS-6.4,AHS-6.4. Persons unable to obtain or delaying receipt of needed prescription medications (percent),AHS,Race and ethnicity,4,1.696839,0.202152,Hispanic or Latino,3.388038333,0.667904735,1.996676369,0.45991077,1.962,0.19925,Hispanic or Latino,3.8517,0.582505314,1.963149847,0.357621226,-0.033527,-0.057547,Little or no detectable change
|
|||
|
AHS-6.4,AHS-6.4. Persons unable to obtain or delaying receipt of needed prescription medications (percent),AHS,Educational attainment,5,2.67764,0.450107,Advanced degree,3.7691015,0.380166578,1.407620703,0.275946132,3.812,0.37879,4-year college degree,4.73415,0.529546298,1.241907135,0.185813022,-0.165713568,-0.498124295,Little or no detectable change
|
|||
|
AHS-6.4,AHS-6.4. Persons unable to obtain or delaying receipt of needed prescription medications (percent),AHS,Family income,5,1.992816,0.247949,At or above 600% of the poverty threshold,3.72019725,0.398351938,1.866804186,0.306442751,2.8555,0.32906,At or above 600% of the poverty threshold,3.868525,0.388991908,1.354762739,0.207196946,-0.512041447,-1.384210628,Little or no detectable change
|
|||
|
AHS-6.4,AHS-6.4. Persons unable to obtain or delaying receipt of needed prescription medications (percent),AHS,Disability status,2,2.8532359,0.1695235,People with neither basic nor complex activity limitations,12.23765272,0.809929026,4.28904344,0.381467364,2.7641,0.17887,People with neither basic nor complex activity limitations,11.945146626,0.732098694,4.321532009,0.385171629,0.0324886,0.0599307,Little or no detectable change
|
|||
|
AHS-6.4,AHS-6.4. Persons unable to obtain or delaying receipt of needed prescription medications (percent),AHS,Geographic location,2,3.122737,0.1667596,Metropolitan,3.199848,0.4242645,1.024693402,0.146468719,3.3988,0.18129,Metropolitan,4.4392,0.56816,1.306108038,0.18110106,0.281414636,1.20821463,Little or no detectable change
|
|||
|
AHS-9.1,AHS-9.1. Overall emergency department wait time exceeds recommended time frame,AHS,Sex,2,23.219,1.094,Male,25.819,1.235,1.11197726,0.074659711,19.209985311,1.703958608,Male,19.210350223,1.789714157,1.000018996,0.128639668,-0.111958264,-0.752734187,Little or no detectable change
|
|||
|
AHS-9.1,AHS-9.1. Overall emergency department wait time exceeds recommended time frame,AHS,Race and ethnicity,3,22.954,1.157,"White only, not Hispanic or Latino",27.0555,2.885273124,1.178683454,0.139031485,18.719589901,2.479037588,Hispanic or Latino,19.498219445,3.336923659,1.04159437,0.225395363,-0.137089084,-0.517657146,Little or no detectable change
|
|||
|
AHS-9.1,AHS-9.1. Overall emergency department wait time exceeds recommended time frame,AHS,Geographic location,2,14.743,2.137,Nonmetropolitan,26.515,1.251,1.798480635,0.274152265,7.532061833,1.763784943,Nonmetropolitan,22.636700974,1.960036235,3.005379068,0.750340081,1.206898433,1.510784892,Little or no detectable change
|
|||
|
AHS-9.2,AHS-9.2. Level-1 (immediate) emergency department wait time exceeds recommended time frame,AHS,Sex,2,82.239,3.68,Female,84.985,2.666,1.033390484,0.0564731,73.170464554,9.484204439,Male,85.070606863,6.596759844,1.162635872,0.175607911,0.129245388,0.700649805,Little or no detectable change
|
|||
|
AHS-9.2,AHS-9.2. Level-1 (immediate) emergency department wait time exceeds recommended time frame,AHS,Race and ethnicity,3,80.953,8.442,Hispanic or Latino,85.207,4.662655252,1.05254901,0.123956723,79.804912073,7.456170832,"White only, not Hispanic or Latino",96.562685088,5.35863485,1.20998423,0.131486526,0.15743522,0.871232088,Little or no detectable change
|
|||
|
AHS-9.2,AHS-9.2. Level-1 (immediate) emergency department wait time exceeds recommended time frame,AHS,Geographic location,2,83.033,6.184,Nonmetropolitan,83.565,2.954,1.006407091,0.082968114,80.512645019,4.600425832,Metropolitan,94.581917221,2.274076798,1.174746118,0.072824529,0.168339027,1.524875093,Little or no detectable change
|
|||
|
AHS-9.3,AHS-9.3. Level-2 (emergent) emergency department wait time exceeds recommended time frame,AHS,Sex,2,65.242,2.033,Male,68.151,1.941,1.044587842,0.044098,56.651625822,4.39702153,Female,56.898251355,3.824398439,1.004353371,0.103120822,-0.040234,-0.358742863,Little or no detectable change
|
|||
|
AHS-9.3,AHS-9.3. Level-2 (emergent) emergency department wait time exceeds recommended time frame,AHS,Race and ethnicity,3,64.64,2.938,Hispanic or Latino,68.749,3.196701112,1.06356745,0.069155914,52.94391458,8.626041133,"Black or African American only, not Hispanic or Latino",59.592955072,7.289640535,1.125586492,0.229323242,0.062019,0.258926337,Little or no detectable change
|
|||
|
AHS-9.3,AHS-9.3. Level-2 (emergent) emergency department wait time exceeds recommended time frame,AHS,Geographic location,2,57.749,5.227,Nonmetropolitan,67.734,1.742,1.172903427,0.110364673,26.006393736,7.794668279,Nonmetropolitan,62.453383021,3.357229103,2.401462642,0.731254234,1.228559216,1.661257387,Little or no detectable change
|
|||
|
AHS-9.4,AHS-9.4. Level-3 (urgent) emergency department wait time exceeds recommended time frame,AHS,Sex,2,25.751,1.402,Male,28.957,1.474,1.124500019,0.083813537,19.845787491,2.252254259,Male,20.929408945,2.263594035,1.054602089,0.165329551,-0.06989793,-0.377091534,Little or no detectable change
|
|||
|
AHS-9.4,AHS-9.4. Level-3 (urgent) emergency department wait time exceeds recommended time frame,AHS,Race and ethnicity,3,24.992,1.386,"White only, not Hispanic or Latino",31.779,3.417442611,1.271566901,0.153853985,19.13772638,2.401486408,"White only, not Hispanic or Latino",22.452037591,4.76985944,1.173182077,0.289469225,-0.098384824,-0.300121882,Little or no detectable change
|
|||
|
AHS-9.4,AHS-9.4. Level-3 (urgent) emergency department wait time exceeds recommended time frame,AHS,Geographic location,2,18.032,3.713,Nonmetropolitan,29.27,1.468,1.623225377,0.344012859,8.354638679,2.127417467,Nonmetropolitan,24.072636108,2.512164433,2.881349755,0.792929359,1.258124378,1.455591446,Little or no detectable change
|
|||
|
AHS-9.5,AHS-9.5. Level-4 (semiurgent) emergency department wait time exceeds recommended time frame,AHS,Sex,2,8.97,0.965,Male,11.053,1.242,1.232218506,0.191688729,6.068078437,0.914783688,Female,6.652163427,0.982953674,1.096255346,0.231413635,-0.13596316,-0.452464985,Little or no detectable change
|
|||
|
AHS-9.5,AHS-9.5. Level-4 (semiurgent) emergency department wait time exceeds recommended time frame,AHS,Race and ethnicity,3,8.908,0.978,"White only, not Hispanic or Latino",11.743,2.706954747,1.318253256,0.336584549,5.528744015,0.858244676,"White only, not Hispanic or Latino",7.582191906,2.733218435,1.371413089,0.538255124,0.0531598,0.083738836,Little or no detectable change
|
|||
|
AOCBC-1,"AOCBC-1. Mean level of joint pain among adults with arthritis (age adjusted, mean, ages 18 and over)",AOCBC,Sex,2,5.466992665,0.101534952,Male,5.712207388,0.082391299,1.044853677,0.0245702,5.307841735,0.093132194,Male,5.998662098,0.086176495,1.130150897,0.0256285,0.08529722,2.402487396,Increase
|
|||
|
AOCBC-1,"AOCBC-1. Mean level of joint pain among adults with arthritis (age adjusted, mean, ages 18 and over)",AOCBC,Race and ethnicity,6,5.008766224,0.348404871,American Indian or Alaska Native only,5.990607722,0.368306217,1.19602462,0.111032852,4.968744026,0.274669617,Asian only,6.078143785,0.332545997,1.223275692,0.095142222,0.0272511,0.186370131,Little or no detectable change
|
|||
|
AOCBC-1,"AOCBC-1. Mean level of joint pain among adults with arthritis (age adjusted, mean, ages 18 and over)",AOCBC,Educational attainment,6,3.836393476,0.175110162,Advanced degree,5.711272749,0.151891524,1.488708806,0.078644333,4.77902608,0.141999503,Advanced degree,5.816715005,0.172432076,1.217133974,0.0510855,-0.271574831,-2.895875977,Decrease
|
|||
|
AOCBC-1,"AOCBC-1. Mean level of joint pain among adults with arthritis (age adjusted, mean, ages 18 and over)",AOCBC,Family income,5,4.47519779,0.181587925,At or above 600% of the poverty threshold,5.875451121,0.155002975,1.312891943,0.063542273,4.556603983,0.160980141,At or above 600% of the poverty threshold,5.934442598,0.162719336,1.302382788,0.0582438,-0.010509,-0.121919873,Little or no detectable change
|
|||
|
AOCBC-1,"AOCBC-1. Mean level of joint pain among adults with arthritis (age adjusted, mean, ages 18 and over)",AOCBC,Geographic location,2,5.519398484,0.072516632,Metropolitan,5.994668237,0.123654737,1.086108976,0.0265622,5.677589983,0.074406633,Metropolitan,5.855961672,0.140445534,1.031416796,0.028189,-0.054692,-1.412064358,Little or no detectable change
|
|||
|
AOCBC-2,"AOCBC-2. Adults with activity limitations due to arthritis (age-adjusted percent, ages 18 and over)",AOCBC,Sex,2,37.559392303,2.107116199,Male,40.638195083,1.462401043,1.081971581,0.072114,38.464599819,1.724418919,Male,42.967983763,1.573518005,1.117078664,0.064664517,0.0351071,0.362450475,Little or no detectable change
|
|||
|
AOCBC-2,"AOCBC-2. Adults with activity limitations due to arthritis (age-adjusted percent, ages 18 and over)",AOCBC,Race and ethnicity,5,38.589890007,7.326626645,Asian only,41.308013242,4.823747311,1.070436149,0.238596238,38.538405904,7.481799971,Asian only,46.2574693,4.683111158,1.200295347,0.262805575,0.129859199,0.365844201,Little or no detectable change
|
|||
|
AOCBC-2,"AOCBC-2. Adults with activity limitations due to arthritis (age-adjusted percent, ages 18 and over)",AOCBC,Educational attainment,6,31.664493956,3.826384893,Advanced degree,41.151337777,3.084981513,1.299605098,0.18481225,33.604608305,2.293090948,4-year college degree,43.942231656,3.120602617,1.30762517,0.128783607,0.0080201,0.0356041,Little or no detectable change
|
|||
|
AOCBC-2,"AOCBC-2. Adults with activity limitations due to arthritis (age-adjusted percent, ages 18 and over)",AOCBC,Family income,5,29.252145251,3.098354309,At or above 600% of the poverty threshold,44.25761685,3.202373745,1.512969954,0.194075931,29.320266619,2.541756277,At or above 600% of the poverty threshold,45.562913528,3.186993849,1.55397337,0.173096515,0.0410034,0.157672947,Little or no detectable change
|
|||
|
AOCBC-2,"AOCBC-2. Adults with activity limitations due to arthritis (age-adjusted percent, ages 18 and over)",AOCBC,Geographic location,2,39.120585625,1.335075518,Metropolitan,40.449853978,3.056562784,1.033978744,0.085730621,40.707338701,1.265284731,Metropolitan,43.033823349,2.759504148,1.05715148,0.075332834,0.0231727,0.203044952,Little or no detectable change
|
|||
|
AOCBC-3.1,"AOCBC-3.1. Adults with arthritis who have difficulty walking a quarter mile (age-adjusted percent, ages 18 and over)",AOCBC,Sex,2,11.864819492,1.008731419,Male,17.308119207,0.9485312,1.458776446,0.147556595,12.523605615,0.975267581,Male,18.616919897,1.202383473,1.486546325,0.150396347,0.0277699,0.131801873,Little or no detectable change
|
|||
|
AOCBC-3.1,"AOCBC-3.1. Adults with arthritis who have difficulty walking a quarter mile (age-adjusted percent, ages 18 and over)",AOCBC,Race and ethnicity,4,12.953465161,1.550097887,Hispanic or Latino,18.334598645,3.521549136,1.415420385,0.320308949,14.244617125,0.848144238,"White only, not Hispanic or Latino",20.221566083,3.800301901,1.419593514,0.279858135,0.00417313,0.0098112,Little or no detectable change
|
|||
|
AOCBC-3.1,"AOCBC-3.1. Adults with arthritis who have difficulty walking a quarter mile (age-adjusted percent, ages 18 and over)",AOCBC,Educational attainment,6,5.526036081,1.143875398,Advanced degree,16.773296937,2.002605617,3.035321647,0.725324462,4.239981807,0.766557593,Advanced degree,19.171894517,2.303824773,4.521692636,0.981593138,1.48637099,1.217837594,Little or no detectable change
|
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|
AOCBC-3.1,"AOCBC-3.1. Adults with arthritis who have difficulty walking a quarter mile (age-adjusted percent, ages 18 and over)",AOCBC,Family income,5,4.274374095,0.611069774,At or above 600% of the poverty threshold,19.512334535,2.146964534,4.564957138,0.823525937,4.748826872,0.634829325,At or above 600% of the poverty threshold,19.774283833,2.237618939,4.164035533,0.729305921,-0.400921605,-0.364461823,Little or no detectable change
|
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|
AOCBC-3.1,"AOCBC-3.1. Adults with arthritis who have difficulty walking a quarter mile (age-adjusted percent, ages 18 and over)",AOCBC,Geographic location,2,14.958229257,0.806233328,Metropolitan,15.82382559,1.705020378,1.057867567,0.127450899,14.987177899,0.87065998,Metropolitan,21.467535768,2.465015203,1.432393471,0.184326899,0.374525904,1.671255745,Little or no detectable change
|
|||
|
AOCBC-3.2,"AOCBC-3.2. Adults with arthritis who have difficulty climbing 10 steps without resting (age-adjusted percent, ages 18 and over)",AOCBC,Sex,2,8.411694815,0.844337596,Male,12.420747723,0.847483693,1.476604655,0.179217337,8.09898649,0.710953287,Male,13.878560489,1.118897563,1.713616945,0.204240796,0.23701229,0.872258375,Little or no detectable change
|
|||
|
AOCBC-3.2,"AOCBC-3.2. Adults with arthritis who have difficulty climbing 10 steps without resting (age-adjusted percent, ages 18 and over)",AOCBC,Race and ethnicity,3,9.672941314,0.698434042,"White only, not Hispanic or Latino",15.514073427,2.759766476,1.603863078,0.307915267,8.919733701,0.649509664,"White only, not Hispanic or Latino",19.340491833,4.210070901,2.168281305,0.497702776,0.564418228,0.964402103,Little or no detectable change
|
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|
AOCBC-3.2,"AOCBC-3.2. Adults with arthritis who have difficulty climbing 10 steps without resting (age-adjusted percent, ages 18 and over)",AOCBC,Educational attainment,6,2.96784536,0.760654788,Advanced degree,11.785148586,1.613460146,3.970944291,1.153846788,3.241149906,0.740376642,Advanced degree,14.077984165,2.117360168,4.343515287,1.187943118,0.372570996,0.224972836,Little or no detectable change
|
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|
AOCBC-3.2,"AOCBC-3.2. Adults with arthritis who have difficulty climbing 10 steps without resting (age-adjusted percent, ages 18 and over)",AOCBC,Family income,5,2.344022888,0.451642947,At or above 600% of the poverty threshold,14.275594616,1.828295999,6.090211271,1.409029582,2.759379021,0.374951492,At or above 600% of the poverty threshold,14.549425333,2.048664641,5.272717238,1.03176654,-0.817494033,-0.468102892,Little or no detectable change
|
|||
|
AOCBC-3.2,"AOCBC-3.2. Adults with arthritis who have difficulty climbing 10 steps without resting (age-adjusted percent, ages 18 and over)",AOCBC,Geographic location,2,10.30329025,0.64728786,Metropolitan,12.849173951,1.668534621,1.247094243,0.179898288,10.887842259,0.796283525,Metropolitan,14.313694164,2.132710989,1.314649296,0.218204582,0.067555054,0.238878071,Little or no detectable change
|
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|
AOCBC-3.3,"AOCBC-3.3. Adults with arthritis who have difficulty stooping, bending, or kneeling (age-adjusted percent, ages 18 and over)",AOCBC,Sex,2,19.11691899,1.639808081,Male,23.502537148,1.23705977,1.229410302,0.123727173,18.223846558,1.281540206,Male,24.540917007,1.222174592,1.346637601,0.116040753,0.117227299,0.691082065,Little or no detectable change
|
|||
|
AOCBC-3.3,"AOCBC-3.3. Adults with arthritis who have difficulty stooping, bending, or kneeling (age-adjusted percent, ages 18 and over)",AOCBC,Race and ethnicity,5,13.092288849,3.822092858,Asian only,23.454064446,3.985967594,1.791441108,0.605146877,13.396275887,2.587102286,Asian only,26.192973739,3.824897789,1.955242932,0.473394118,0.163801823,0.213196759,Little or no detectable change
|
|||
|
AOCBC-3.3,"AOCBC-3.3. Adults with arthritis who have difficulty stooping, bending, or kneeling (age-adjusted percent, ages 18 and over)",AOCBC,Educational attainment,6,9.693707303,1.452260322,Advanced degree,23.845943465,2.512677529,2.459940528,0.450562569,7.483497188,1.027094973,Advanced degree,25.477757997,2.456839464,3.404525633,0.571066958,0.944585104,1.298560898,Little or no detectable change
|
|||
|
AOCBC-3.3,"AOCBC-3.3. Adults with arthritis who have difficulty stooping, bending, or kneeling (age-adjusted percent, ages 18 and over)",AOCBC,Family income,5,8.974084926,2.149310403,At or above 600% of the poverty threshold,26.582005824,2.761503128,2.962085387,0.773288684,8.434170995,1.059933353,At or above 600% of the poverty threshold,26.217888434,2.449503364,3.108531763,0.486782597,0.146446376,0.160270244,Little or no detectable change
|
|||
|
AOCBC-3.3,"AOCBC-3.3. Adults with arthritis who have difficulty stooping, bending, or kneeling (age-adjusted percent, ages 18 and over)",AOCBC,Geographic location,2,20.709425334,1.073862846,Metropolitan,25.696303468,2.764486025,1.240802343,0.148185912,21.014540166,0.925993783,Metropolitan,26.34160861,2.374925505,1.253494409,0.12578907,0.0126921,0.065296534,Little or no detectable change
|
|||
|
AOCBC-3.4,"AOCBC-3.4. Adults with arthritis who have difficulty grasping or handling small objects (age-adjusted percent, ages 18 and over)",AOCBC,Sex,2,4.258460865,0.815422213,Male,4.446169216,0.588963216,1.044078919,0.243099469,4.07301346,0.691997907,Male,4.195386226,0.410357729,1.030044773,0.201932238,-0.014034,-0.044408,Little or no detectable change
|
|||
|
AOCBC-3.4,"AOCBC-3.4. Adults with arthritis who have difficulty grasping or handling small objects (age-adjusted percent, ages 18 and over)",AOCBC,Race and ethnicity,3,4.255437048,0.596230535,"White only, not Hispanic or Latino",5.061666774,1.502335811,1.189458737,0.390398075,3.207900816,0.313863024,"White only, not Hispanic or Latino",7.183086446,2.293688185,2.239185953,0.747823474,1.049727217,1.244351416,Little or no detectable change
|
|||
|
AOCBC-3.4,"AOCBC-3.4. Adults with arthritis who have difficulty grasping or handling small objects (age-adjusted percent, ages 18 and over)",AOCBC,Educational attainment,6,1.782289662,0.414382841,Advanced degree,4.79871627,0.866279644,2.692444652,0.792535189,1.869617061,0.542241086,Advanced degree,5.345641261,1.207472148,2.859217201,1.051079666,0.166772549,0.126689394,Little or no detectable change
|
|||
|
AOCBC-3.4,"AOCBC-3.4. Adults with arthritis who have difficulty grasping or handling small objects (age-adjusted percent, ages 18 and over)",AOCBC,Family income,4,1.423330997,0.385285445,At or above 600% of the poverty threshold,6.288416716,1.60667293,4.418098621,1.64453841,1.684864915,0.447199222,At or above 600% of the poverty threshold,6.224712673,1.23758452,3.694487682,1.225195372,-0.723610939,-0.352850397,Little or no detectable change
|
|||
|
AOCBC-3.4,"AOCBC-3.4. Adults with arthritis who have difficulty grasping or handling small objects (age-adjusted percent, ages 18 and over)",AOCBC,Geographic location,2,3.653192787,0.775147657,Nonmetropolitan,4.553239782,0.567381731,1.246372707,0.306692988,3.682972348,0.32228329,Metropolitan,6.450688987,1.499414604,1.751489932,0.435014859,0.505117225,0.94900834,Little or no detectable change
|
|||
|
AOCBC-4,"AOCBC-4. Personal care limitations in adults with arthritis (age-adjusted percent, ages 18 and over)",AOCBC,Sex,2,1.493443815,0.260811176,Male,3.435743559,0.464248786,2.300550932,0.507981846,3.025562525,0.665449747,Male,4.128623832,0.711482309,1.364580569,0.381282564,-0.935970363,-1.473609237,Little or no detectable change
|
|||
|
AOCBC-4,"AOCBC-4. Personal care limitations in adults with arthritis (age-adjusted percent, ages 18 and over)",AOCBC,Race and ethnicity,3,2.206201657,0.321915773,"White only, not Hispanic or Latino",4.655085018,1.647428595,2.109999783,0.807706161,2.033216776,0.216597766,"White only, not Hispanic or Latino",5.549239144,2.321043164,2.729290457,1.178006647,0.619290674,0.433580751,Little or no detectable change
|
|||
|
AOCBC-4,"AOCBC-4. Personal care limitations in adults with arthritis (age-adjusted percent, ages 18 and over)",AOCBC,Educational attainment,5,1.118430279,0.32084904,Advanced degree,3.51557211,0.756898314,3.143309132,1.127438383,0.735256117,0.215960553,Advanced degree,3.437845641,0.886011889,4.675711716,1.827081739,1.532402584,0.713761747,Little or no detectable change
|
|||
|
AOCBC-4,"AOCBC-4. Personal care limitations in adults with arthritis (age-adjusted percent, ages 18 and over)",AOCBC,Geographic location,2,1.572785695,0.275937716,Nonmetropolitan,2.938471995,0.367479289,1.868323195,0.402538082,3.610387785,0.540815208,Metropolitan,3.976727383,1.179854057,1.101468213,0.366083836,-0.766854982,-1.409378263,Little or no detectable change
|
|||
|
AOCBC-5,"AOCBC-5. Serious psychological distress in adults with arthritis (age-adjusted percent, ages 18 and over)",AOCBC,Sex,2,6.43667193,1.137994694,Male,7.807161747,0.791482957,1.21291901,0.247195962,6.358412079,0.96082839,Male,12.039537481,1.037407959,1.893481789,0.329375271,0.680562779,1.652582171,Little or no detectable change
|
|||
|
AOCBC-5,"AOCBC-5. Serious psychological distress in adults with arthritis (age-adjusted percent, ages 18 and over)",AOCBC,Race and ethnicity,3,7.051606907,1.498075002,Hispanic or Latino,7.463072997,2.010824024,1.058350685,0.363137177,9.09519854,0.84849201,"White only, not Hispanic or Latino",11.711421047,3.468603305,1.287648752,0.399837885,0.229298067,0.424524922,Little or no detectable change
|
|||
|
AOCBC-5,"AOCBC-5. Serious psychological distress in adults with arthritis (age-adjusted percent, ages 18 and over)",AOCBC,Disability status,2,3.077401883,0.831091996,People without disabilities,17.923639833,2.458339698,5.824276618,1.764148293,3.070151635,0.760718442,People without disabilities,19.259446981,2.535391944,6.273125654,1.760106335,0.448849036,0.180114107,Little or no detectable change
|
|||
|
AOCBC-5,"AOCBC-5. Serious psychological distress in adults with arthritis (age-adjusted percent, ages 18 and over)",AOCBC,Geographic location,2,6.691349546,0.679952844,Metropolitan,9.670517919,1.9806233,1.445226834,0.330427281,9.097609478,0.782078485,Metropolitan,12.348473331,1.961226188,1.357331655,0.245128581,-0.087895179,-0.213636172,Little or no detectable change
|
|||
|
AOCBC-6.1,"AOCBC-6.1. Unemployment rate among adults with arthritis (age-adjusted percent, ages 18-64)",AOCBC,Sex,2,27.783484793,2.244844051,Male,38.212603647,1.779460551,1.375371158,0.128262504,27.798171492,2.240595222,Male,38.675438603,1.781041264,1.391294338,0.129153894,0.0159232,0.08747944,Little or no detectable change
|
|||
|
AOCBC-6.1,"AOCBC-6.1. Unemployment rate among adults with arthritis (age-adjusted percent, ages 18-64)",AOCBC,Race and ethnicity,5,32.747543724,1.610400077,"White only, not Hispanic or Latino",36.529467245,7.104470439,1.115487242,0.223774383,31.627049981,1.619120883,"White only, not Hispanic or Latino",37.854985424,7.25066631,1.196918,0.237302782,0.081430758,0.249656571,Little or no detectable change
|
|||
|
AOCBC-6.1,"AOCBC-6.1. Unemployment rate among adults with arthritis (age-adjusted percent, ages 18-64)",AOCBC,Educational attainment,6,21.297878896,4.27747869,Advanced degree,35.295901525,3.319122906,1.657249611,0.367520703,15.342805519,2.277787196,Advanced degree,36.93224001,3.475063815,2.407137336,0.423093309,0.749887725,1.338062833,Little or no detectable change
|
|||
|
AOCBC-6.1,"AOCBC-6.1. Unemployment rate among adults with arthritis (age-adjusted percent, ages 18-64)",AOCBC,Family income,5,16.023483329,2.769695777,At or above 600% of the poverty threshold,41.556453023,3.49258635,2.593471854,0.498468879,14.930473897,2.513748954,At 400%-599% of the poverty threshold,40.37985849,3.505733394,2.704526244,0.512319162,0.111054389,0.155363811,Little or no detectable change
|
|||
|
AOCBC-6.1,"AOCBC-6.1. Unemployment rate among adults with arthritis (age-adjusted percent, ages 18-64)",AOCBC,Disability status,2,26.786593577,1.988085227,People without disabilities,68.691349038,3.309096135,2.56439285,0.226904545,19.503657611,1.620372816,People without disabilities,63.248404798,3.521334544,3.242899668,0.324322918,0.678506819,1.714193603,Little or no detectable change
|
|||
|
AOCBC-6.1,"AOCBC-6.1. Unemployment rate among adults with arthritis (age-adjusted percent, ages 18-64)",AOCBC,Geographic location,2,32.038195322,1.56250133,Metropolitan,41.922685906,3.269929979,1.308522078,0.120372378,32.026352075,1.440858408,Metropolitan,44.318854158,3.61794298,1.38382461,0.128987411,0.075302532,0.426814457,Little or no detectable change
|
|||
|
AOCBC-6.2,"AOCBC-6.2. Adults with arthritis limited in their ability to work for pay (age-adjusted percent, ages 18-64 )",AOCBC,Sex,2,30.944422885,2.217831216,Male,34.784344953,1.637885324,1.124090925,0.096396721,29.153873693,1.757740349,Male,35.802960609,1.596456619,1.228068729,0.092091884,0.103977804,0.779933009,Little or no detectable change
|
|||
|
AOCBC-6.2,"AOCBC-6.2. Adults with arthritis limited in their ability to work for pay (age-adjusted percent, ages 18-64 )",AOCBC,Race and ethnicity,4,27.299396751,7.199239867,Asian only,39.177625872,3.865209008,1.435109582,0.4040763,26.050901933,5.937854696,Asian only,37.212441542,3.315222129,1.428451178,0.349577405,-0.0066584,-0.012462,Little or no detectable change
|
|||
|
AOCBC-6.2,"AOCBC-6.2. Adults with arthritis limited in their ability to work for pay (age-adjusted percent, ages 18-64 )",AOCBC,Educational attainment,6,17.807131213,4.153217258,Advanced degree,36.640456229,3.556723692,2.05762825,0.519813156,18.485883145,2.487595711,4-year college degree,35.000553762,3.744925652,1.893366602,0.325507915,-0.164261647,-0.267823833,Little or no detectable change
|
|||
|
AOCBC-6.2,"AOCBC-6.2. Adults with arthritis limited in their ability to work for pay (age-adjusted percent, ages 18-64 )",AOCBC,Family income,5,15.484051779,2.544832234,At or above 600% of the poverty threshold,38.479539369,3.465541966,2.485107898,0.46573519,15.014886558,2.558821977,At or above 600% of the poverty threshold,38.274910923,3.058254072,2.549130876,0.479799093,0.064022978,0.095747083,Little or no detectable change
|
|||
|
AOCBC-6.2,"AOCBC-6.2. Adults with arthritis limited in their ability to work for pay (age-adjusted percent, ages 18-64 )",AOCBC,Geographic location,2,30.881993516,1.457447288,Metropolitan,42.907154874,3.361480278,1.389390709,0.127073626,31.820309708,1.380452904,Metropolitan,38.872988507,2.635682826,1.221640797,0.098334364,-0.167749912,-1.044014282,Little or no detectable change
|
|||
|
AOCBC-7.1,"AOCBC-7.1. Overweight and obese adults with arthritis counseled for weight reduction (age-adjusted percent, ages 18 and over)",AOCBC,Sex,2,47.044710602,1.938346287,Female,34.477489889,1.998415196,1.364505095,0.097036557,49.071026044,1.831970743,Female,40.915982605,1.972368373,1.199311929,0.07312371,-0.165193165,-1.359572154,Little or no detectable change
|
|||
|
AOCBC-7.1,"AOCBC-7.1. Overweight and obese adults with arthritis counseled for weight reduction (age-adjusted percent, ages 18 and over)",AOCBC,Race and ethnicity,4,52.933420738,3.676456734,"Black or African American only, not Hispanic or Latino",44.989786398,9.412482635,1.176565282,0.259363423,55.507384735,8.883291216,Asian only,48.509488118,3.348606414,1.144258307,0.199433733,-0.032307,-0.098745375,Little or no detectable change
|
|||
|
AOCBC-7.1,"AOCBC-7.1. Overweight and obese adults with arthritis counseled for weight reduction (age-adjusted percent, ages 18 and over)",AOCBC,Educational attainment,6,45.052185943,2.875894192,Some college,40.008255377,4.686945298,1.126072245,0.150231997,47.931879644,2.548034636,Some college,44.260719181,3.720998854,1.082943986,0.107717264,-0.043128,-0.233304181,Little or no detectable change
|
|||
|
AOCBC-7.1,"AOCBC-7.1. Overweight and obese adults with arthritis counseled for weight reduction (age-adjusted percent, ages 18 and over)",AOCBC,Family income,5,44.921705474,3.225001802,At 100%-199% of the poverty threshold,40.16413851,3.884110609,1.118453106,0.134707795,47.808226769,2.669094259,Below the poverty threshold (<100%),44.889214185,3.874201392,1.065027037,0.109473154,-0.053426,-0.307786532,Little or no detectable change
|
|||
|
AOCBC-7.1,"AOCBC-7.1. Overweight and obese adults with arthritis counseled for weight reduction (age-adjusted percent, ages 18 and over)",AOCBC,Geographic location,2,44.218900049,3.53518459,Nonmetropolitan,40.688309535,1.513441931,1.08677162,0.095827889,46.336294549,1.520564783,Metropolitan,41.122140596,2.476032788,1.126796754,0.077268399,0.0400251,0.325145617,Little or no detectable change
|
|||
|
AOCBC-7.2,"AOCBC-7.2. Adults with arthritis counseled for physical activity or exercise (age-adjusted percent, ages 18 and over)",AOCBC,Sex,2,55.182579131,1.466102893,Female,47.849349967,2.003502321,1.15325661,0.0571887,62.895560213,1.533489085,Female,58.330681807,1.874864656,1.078258616,0.0435003,-0.074997994,-1.043773113,Little or no detectable change
|
|||
|
AOCBC-7.2,"AOCBC-7.2. Adults with arthritis counseled for physical activity or exercise (age-adjusted percent, ages 18 and over)",AOCBC,Race and ethnicity,5,62.371646781,3.287940059,Hispanic or Latino,56.003674816,6.627509148,1.113706323,0.144281517,64.643527767,2.74792494,Hispanic or Latino,61.867598051,6.338205643,1.044868878,0.115893712,-0.068837445,-0.371966572,Little or no detectable change
|
|||
|
AOCBC-7.2,"AOCBC-7.2. Adults with arthritis counseled for physical activity or exercise (age-adjusted percent, ages 18 and over)",AOCBC,Educational attainment,6,56.740870223,3.127945494,Associates degree,52.607184009,3.527523133,1.078576459,0.09362647,64.545318414,2.958539299,Associates degree,60.774743166,3.344568215,1.062041813,0.076064289,-0.016535,-0.137068653,Little or no detectable change
|
|||
|
AOCBC-7.2,"AOCBC-7.2. Adults with arthritis counseled for physical activity or exercise (age-adjusted percent, ages 18 and over)",AOCBC,Family income,5,54.622649932,2.269103843,At 200%-399% of the poverty threshold,50.974618038,3.634769832,1.071565654,0.08842958,63.962587323,3.038607469,At or above 600% of the poverty threshold,60.678166812,2.87190471,1.054128539,0.070689212,-0.017437,-0.154023006,Little or no detectable change
|
|||
|
AOCBC-7.2,"AOCBC-7.2. Adults with arthritis counseled for physical activity or exercise (age-adjusted percent, ages 18 and over)",AOCBC,Geographic location,2,52.974636751,1.285563492,Metropolitan,49.173855892,2.908632561,1.077292716,0.068876278,61.805463421,1.383521508,Metropolitan,57.533356962,2.993154271,1.074254427,0.0608417,-0.0030383,-0.033061,Little or no detectable change
|
|||
|
AOCBC-8,"AOCBC-8. Adults with arthritis receiving arthritis education (age-adjusted percent, ages 18 and over)",AOCBC,Sex,2,11.130446396,1.235982366,Male,10.282205902,0.824120744,1.082495965,0.148246957,11.720218115,0.936079376,Female,10.861367571,1.103529152,1.079073886,0.139454784,-0.0034221,-0.016814,Little or no detectable change
|
|||
|
AOCBC-8,"AOCBC-8. Adults with arthritis receiving arthritis education (age-adjusted percent, ages 18 and over)",AOCBC,Race and ethnicity,3,16.308996633,2.57724859,Hispanic or Latino,9.448382341,1.721140059,1.726115227,0.416260189,12.401025101,1.674664128,Hispanic or Latino,11.205615139,1.680769427,1.106679548,0.223358801,-0.619435679,-1.311252675,Little or no detectable change
|
|||
|
AOCBC-8,"AOCBC-8. Adults with arthritis receiving arthritis education (age-adjusted percent, ages 18 and over)",AOCBC,Educational attainment,6,15.776931623,2.404060258,Associates degree,11.086822689,2.31262355,1.42303454,0.3675998,15.274614821,2.277996239,Advanced degree,11.406623353,1.743636642,1.339100481,0.285979612,-0.083934059,-0.180216471,Little or no detectable change
|
|||
|
AOCBC-8,"AOCBC-8. Adults with arthritis receiving arthritis education (age-adjusted percent, ages 18 and over)",AOCBC,Family income,5,12.811666765,2.100550036,At or above 600% of the poverty threshold,10.070252771,1.882484306,1.272228916,0.31633847,12.561976128,2.056335048,At or above 600% of the poverty threshold,11.167584115,1.717761999,1.124860668,0.252670151,-0.147368248,-0.363997362,Little or no detectable change
|
|||
|
AOCBC-8,"AOCBC-8. Adults with arthritis receiving arthritis education (age-adjusted percent, ages 18 and over)",AOCBC,Geographic location,2,11.29350011,2.311736286,Nonmetropolitan,10.470513619,0.748361261,1.078600394,0.233857243,11.9745566,0.828603173,Metropolitan,8.539029934,1.139172105,1.402332196,0.210750651,0.323731803,1.028341776,Little or no detectable change
|
|||
|
AOCBC-9,"AOCBC-9. Adults with chronic joint symptoms seeing a health care provider for their symptoms (age-adjusted percent, ages 18 and over)",AOCBC,Sex,2,73.455857207,1.111284029,Female,70.23197111,1.272848278,1.045903398,0.0246916,76.995818758,1.031048001,Female,71.02282129,1.127807831,1.084099693,0.0225189,0.0381963,1.142977134,Little or no detectable change
|
|||
|
AOCBC-9,"AOCBC-9. Adults with chronic joint symptoms seeing a health care provider for their symptoms (age-adjusted percent, ages 18 and over)",AOCBC,Race and ethnicity,6,80.420077294,4.271289418,Two or more races,70.191284021,5.157151017,1.145727399,0.103871186,85.806220048,3.123908236,Two or more races,71.632659433,4.0301754,1.197864504,0.080273153,0.0521371,0.397160853,Little or no detectable change
|
|||
|
AOCBC-9,"AOCBC-9. Adults with chronic joint symptoms seeing a health care provider for their symptoms (age-adjusted percent, ages 18 and over)",AOCBC,Educational attainment,6,76.173022843,1.674789263,Some college,71.763709896,2.569728167,1.061442099,0.0446013,77.86880694,1.776723697,Associates degree,73.139580398,2.317841309,1.064660291,0.0415751,0.00321819,0.0527802,Little or no detectable change
|
|||
|
AOCBC-9,"AOCBC-9. Adults with chronic joint symptoms seeing a health care provider for their symptoms (age-adjusted percent, ages 18 and over)",AOCBC,Family income,5,76.193864339,1.947460384,At or above 600% of the poverty threshold,71.213799455,2.236597188,1.069931178,0.0433245,76.000226616,1.79943852,At or above 600% of the poverty threshold,73.296221175,2.10841534,1.036891471,0.038631,-0.03304,-0.569196343,Little or no detectable change
|
|||
|
AOCBC-9,"AOCBC-9. Adults with chronic joint symptoms seeing a health care provider for their symptoms (age-adjusted percent, ages 18 and over)",AOCBC,Disability status,2,81.939123723,2.006260727,People with disabilities,64.837584491,1.30028859,1.26375966,0.0399973,77.656191471,2.170715237,People with disabilities,68.391619185,1.253286139,1.135463561,0.0379519,-0.128296099,-2.326842772,Decrease
|
|||
|
AOCBC-9,"AOCBC-9. Adults with chronic joint symptoms seeing a health care provider for their symptoms (age-adjusted percent, ages 18 and over)",AOCBC,Geographic location,2,72.094914017,0.931980781,Metropolitan,71.562413952,2.053416045,1.007441058,0.0317058,74.077904537,0.853751852,Metropolitan,73.454668277,1.644151001,1.008484638,0.0253897,0.00104358,0.025692,Little or no detectable change
|
|||
|
AOCBC-10,"AOCBC-10. Adults with osteoporosis (age-adjusted percent, ages 50 and over)",AOCBC,Sex,2,2.041,0.248,Male,8.942,0.549,4.381185693,0.596451084,2.972507155,0.429732084,Male,11.044458627,1.187982544,3.715536431,0.669519769,-0.665649262,-0.74236,Little or no detectable change
|
|||
|
AOCBC-10,"AOCBC-10. Adults with osteoporosis (age-adjusted percent, ages 50 and over)",AOCBC,Educational attainment,4,4,0.68,College graduate or above,6.423666667,1.054747837,1.605916667,0.379556317,6.26559195,1.492689882,College graduate or above,7.808528018,1.550664785,1.246255435,0.386525752,-0.359661232,-0.663919397,Little or no detectable change
|
|||
|
AOCBC-10,"AOCBC-10. Adults with osteoporosis (age-adjusted percent, ages 50 and over)",AOCBC,Family income,4,3.142,0.866,Above 500% of the poverty threshold,7.287,1.198090773,2.319223425,0.744318836,3.252492001,0.882460394,Above 500% of the poverty threshold,9.243022236,1.689684383,2.841827815,0.929724266,0.52260439,0.438807497,Little or no detectable change
|
|||
|
AOCBC-10,"AOCBC-10. Adults with osteoporosis (age-adjusted percent, ages 50 and over)",AOCBC,Disability status,2,4.892,0.437,People without activity limitations,8.246,0.852,1.685609158,0.230228348,6.094946661,0.766077368,People without activity limitations,10.734592113,1.250415561,1.761228229,0.30181719,0.075619071,0.199205486,Little or no detectable change
|
|||
|
AOCBC-12,"AOCBC-12. Adults with activity limitations due to chronic back conditions (age adjusted per 1,000 population, ages 18 and over)",AOCBC,Sex,2,28.752690905,1.275334554,Male,32.18293435,1.317421046,1.119301649,0.067558919,32.775463994,1.262992144,Male,34.20776058,1.205306541,1.043700269,0.0544969,-0.07560138,-0.870990369,Little or no detectable change
|
|||
|
AOCBC-12,"AOCBC-12. Adults with activity limitations due to chronic back conditions (age adjusted per 1,000 population, ages 18 and over)",AOCBC,Race and ethnicity,6,10.648273136,1.766846745,Asian only,44.287582369,8.822879059,4.159132829,1.078329879,17.299481905,2.434563201,Asian only,51.815501212,8.26052615,2.995205376,0.636933039,-1.163927452,-0.929365516,Little or no detectable change
|
|||
|
AOCBC-12,"AOCBC-12. Adults with activity limitations due to chronic back conditions (age adjusted per 1,000 population, ages 18 and over)",AOCBC,Educational attainment,6,16.220833171,2.127856645,Advanced degree,37.568429943,3.042833599,2.316060436,0.357067238,17.682432194,1.690811527,Advanced degree,43.270894027,2.946908728,2.447112114,0.28727771,0.131051678,0.28596085,Little or no detectable change
|
|||
|
AOCBC-12,"AOCBC-12. Adults with activity limitations due to chronic back conditions (age adjusted per 1,000 population, ages 18 and over)",AOCBC,Family income,5,13.274719702,1.413620208,At or above 600% of the poverty threshold,42.44210713,3.427633758,3.197213055,0.427306746,12.440701647,1.074364413,At or above 600% of the poverty threshold,47.617567212,3.247986705,3.827562831,0.421213327,0.630349776,1.050565856,Little or no detectable change
|
|||
|
AOCBC-12,"AOCBC-12. Adults with activity limitations due to chronic back conditions (age adjusted per 1,000 population, ages 18 and over)",AOCBC,Geographic location,2,27.442742504,1.094074254,Metropolitan,46.316023602,3.113225738,1.687733053,0.131897707,31.949467664,1.021220311,Metropolitan,43.691040801,3.131644243,1.3675045,0.10732314,-0.320228554,-1.883200193,Little or no detectable change
|
|||
|
BDBS-15,BDBS-15. Persons with von Willebrand disease diagnosed by age 21 (percent),BDBS,Sex,2,82.256745707,,Male,62.209864603,,1.322246017,,81.655480984,,Male,63.208156818,,1.291850373,,-0.030396,,Little or no detectable change
|
|||
|
BDBS-15,BDBS-15. Persons with von Willebrand disease diagnosed by age 21 (percent),BDBS,Race and ethnicity,7,92.307692308,,Two or more races,79.873191537,,1.155678026,,88.659793814,,Two or more races,77.950626068,,1.137383986,,-0.018294,,Little or no detectable change
|
|||
|
BDBS-16,BDBS-16. Persons with severe hemophilia who experience more than four joint bleeds (percent),BDBS,Race and ethnicity,3,16.783216783,,"Black or African American only, not Hispanic or Latino",17.526709402,,1.044299769,,11.25,,"Black or African American only, not Hispanic or Latino",12.378475168,,1.100308904,,0.0560091,,Little or no detectable change
|
|||
|
BDBS-17,"BDBS-17. Persons donating blood (age-adjusted percent, 18 and over)",BDBS,Sex,2,6.704060781,0.339893666,Male,5.621310124,0.258013998,1.192615357,0.081563024,6.221473507,0.27195504,Male,5.208041968,0.222776091,1.194589741,0.073060682,0.00197438,0.0180308,Little or no detectable change
|
|||
|
BDBS-17,"BDBS-17. Persons donating blood (age-adjusted percent, 18 and over)",BDBS,Race and ethnicity,5,7.402910943,0.293137513,"White only, not Hispanic or Latino",4.111272142,1.219083414,1.800637537,0.538668712,7.155120241,0.254734394,"White only, not Hispanic or Latino",3.65014253,0.676106481,1.96023037,0.369734355,0.159592833,0.244268155,Little or no detectable change
|
|||
|
BDBS-17,"BDBS-17. Persons donating blood (age-adjusted percent, 18 and over)",BDBS,Educational attainment,6,7.920327189,0.581777802,4-year college degree,5.330874773,0.639517107,1.485746247,0.208994375,7.528718036,0.426258034,4-year college degree,4.702421205,0.468429499,1.601030131,0.183446263,0.115283883,0.414563705,Little or no detectable change
|
|||
|
BDBS-17,"BDBS-17. Persons donating blood (age-adjusted percent, 18 and over)",BDBS,Family income,5,7.859969371,0.556610216,At or above 600% of the poverty threshold,5.08170186,0.527161869,1.546719896,0.194273818,6.695414697,0.440973915,At or above 600% of the poverty threshold,4.895037422,0.436559457,1.367796427,0.151644247,-0.178923469,-0.725998985,Little or no detectable change
|
|||
|
BDBS-17,"BDBS-17. Persons donating blood (age-adjusted percent, 18 and over)",BDBS,Disability status,2,6.516356991,0.293715322,People without disabilities,3.048648252,0.557454715,2.137457802,0.402539958,6.239372717,0.276266188,People without disabilities,4.466219282,0.635063098,1.397014415,0.208053165,-0.740443387,-1.634072917,Little or no detectable change
|
|||
|
BDBS-17,"BDBS-17. Persons donating blood (age-adjusted percent, 18 and over)",BDBS,Geographic location,2,6.585828881,0.599558748,Nonmetropolitan,6.086022532,0.235242581,1.082123644,0.107025872,6.35393841,0.517682835,Nonmetropolitan,5.61247576,0.191648985,1.132109729,0.100011372,0.0499861,0.341245177,Little or no detectable change
|
|||
|
C-1,"C-1. Overall cancer deaths (age adjusted, per 100,000 population)",C,Sex,2,152.2642833,0.295364767,Female,218.76937215,0.410876376,1.436774058,0.00387935,131.37315396,0.251712497,Female,181.12289108,0.329392945,1.378690285,0.00364206,-0.058084,-10.915771908,Decrease
|
|||
|
C-1,"C-1. Overall cancer deaths (age adjusted, per 100,000 population)",C,Race and ethnicity,5,109.53112594,1.024392846,Asian or Pacific Islander,162.062637952,1.687932468,1.479603506,0.0207117,94.369907655,0.705339071,Asian or Pacific Islander,135.817187331,1.159640111,1.439200172,0.0163313,-0.040403,-1.531829512,Little or no detectable change
|
|||
|
C-1,"C-1. Overall cancer deaths (age adjusted, per 100,000 population)",C,Geographic location,2,176.91822215,0.263321545,Metropolitan,190.46233396,0.586183705,1.076555776,0.00368041,149.12832661,0.216655902,Metropolitan,170.0553978,0.524503593,1.140329283,0.00388778,0.063773507,11.912432339,Increase
|
|||
|
C-2,"C-2. Lung cancer deaths (age adjusted, per 100,000 population)",C,Sex,2,40.038322853,0.151867166,Female,64.924386743,0.22174603,1.621556102,0.0082767,30.608667443,0.119930281,Female,44.344037699,0.161491545,1.448741203,0.00774972,-0.172814899,-15.241419417,Decrease
|
|||
|
C-2,"C-2. Lung cancer deaths (age adjusted, per 100,000 population)",C,Race and ethnicity,5,21.86727239,0.334397742,Hispanic or Latino,42.489985725,0.893147471,1.943085766,0.050509,15.552262205,0.217917248,Hispanic or Latino,30.623564025,0.572244036,1.969074571,0.0459902,0.0259888,0.380453817,Little or no detectable change
|
|||
|
C-2,"C-2. Lung cancer deaths (age adjusted, per 100,000 population)",C,Geographic location,2,49.103444975,0.138977544,Metropolitan,57.435856948,0.31992543,1.169690986,0.00730818,34.972152455,0.104264774,Metropolitan,45.050368111,0.265254372,1.288178306,0.0085016,0.118487321,10.568810217,Increase
|
|||
|
C-3,"C-3. Female breast cancer deaths (age adjusted, per 100,000 population)",C,Race and ethnicity,5,11.03108714,0.403376045,Asian or Pacific Islander,20.749762423,0.698364606,1.881026064,0.093483804,11.441940898,0.8008674,American Indian or Alaska Native,18.229834462,0.3198256,1.59324669,0.114967482,-0.287779374,-1.942118389,Little or no detectable change
|
|||
|
C-3,"C-3. Female breast cancer deaths (age adjusted, per 100,000 population)",C,Geographic location,2,22.775728361,0.279746152,Nonmetropolitan,23.115601346,0.126953781,1.014922596,0.0136554,19.860662176,0.255790359,Nonmetropolitan,19.892717374,0.108359722,1.001614004,0.0140064,-0.013309,-0.680349391,Little or no detectable change
|
|||
|
C-4,"C-4. Cervical cancer deaths (age adjusted, per 100,000 population)",C,Race and ethnicity,5,2.015751765,0.170426738,Asian or Pacific Islander,2.936822658,0.276551829,1.456936667,0.184379949,1.532856743,0.270069265,American Indian or Alaska Native,2.455756542,0.122146321,1.602078311,0.293297472,0.145141644,0.418954021,Little or no detectable change
|
|||
|
C-4,"C-4. Cervical cancer deaths (age adjusted, per 100,000 population)",C,Geographic location,2,2.332325422,0.041221,Metropolitan,2.820802815,0.105643131,1.209437923,0.0500855,2.145500561,0.0373997,Metropolitan,2.577387286,0.103571305,1.201298817,0.05262,-0.008139,-0.112038105,Little or no detectable change
|
|||
|
C-5,"C-5. Colorectal cancer deaths (age adjusted, per 100,000 population)",C,Sex,2,14.64053161,0.090591038,Female,20.375043061,0.125497064,1.391687379,0.0121504,11.741618368,0.075253395,Female,16.229704959,0.098656837,1.382237478,0.0122098,-0.00945,-0.548605157,Little or no detectable change
|
|||
|
C-5,"C-5. Colorectal cancer deaths (age adjusted, per 100,000 population)",C,Race and ethnicity,5,11.273739072,0.332589848,Asian or Pacific Islander,16.509398918,0.531866036,1.464412012,0.063969731,9.308119568,0.220835643,Asian or Pacific Islander,13.554523651,0.383939796,1.45620429,0.0538051,-0.008208,-0.098191477,Little or no detectable change
|
|||
|
C-5,"C-5. Colorectal cancer deaths (age adjusted, per 100,000 population)",C,Geographic location,2,16.789350043,0.081050234,Metropolitan,18.757535624,0.183749108,1.117228218,0.0122012,13.335297314,0.065041771,Metropolitan,16.152931942,0.164062247,1.211291474,0.0136479,0.094063257,5.138207397,Increase
|
|||
|
C-6,"C-6. Oropharyngeal cancer deaths (age adjusted, per 100,000 population)",C,Sex,2,1.41649967,0.0283248,Female,3.84736262,0.052778,2.716105553,0.065864031,1.322662711,0.0251414,Female,3.954855137,0.0475988,2.99007079,0.067271025,0.273965237,2.910005302,Increase
|
|||
|
C-6,"C-6. Oropharyngeal cancer deaths (age adjusted, per 100,000 population)",C,Race and ethnicity,5,1.554422191,0.085998504,Hispanic or Latino,2.466644113,0.217578705,1.586855957,0.165228076,1.545190792,0.198948564,American Indian or Alaska Native,2.168719339,0.084297418,1.403528515,0.188764354,-0.183327441,-0.730786777,Little or no detectable change
|
|||
|
C-6,"C-6. Oropharyngeal cancer deaths (age adjusted, per 100,000 population)",C,Geographic location,2,2.469523939,0.0308351,Metropolitan,2.748605656,0.07027963,1.113010331,0.0316708,2.44555315,0.0273428,Metropolitan,2.888549971,0.069067615,1.181143812,0.0311771,0.068133482,1.533103446,Little or no detectable change
|
|||
|
C-7,"C-7. Prostate cancer deaths (age adjusted, per 100,000 population)",C,Race and ethnicity,5,11.194835543,0.567039804,Asian or Pacific Islander,28.572956029,1.191543183,2.552333701,0.167458274,8.372313732,0.342288604,Asian or Pacific Islander,20.363678518,0.700822522,2.432264147,0.129980938,-0.120069553,-0.566407925,Little or no detectable change
|
|||
|
C-7,"C-7. Prostate cancer deaths (age adjusted, per 100,000 population)",C,Geographic location,2,23.935458306,0.158021203,Metropolitan,25.265356919,0.340976448,1.055561861,0.0158588,18.633171043,0.119613682,Metropolitan,19.274767946,0.265056097,1.03443305,0.0156986,-0.021129,-0.946854378,Little or no detectable change
|
|||
|
C-8,"C-8. Melanoma deaths (age adjusted, per 100,000 population)",C,Sex,2,1.702718881,0.0316936,Female,3.996375393,0.0547839,2.347055312,0.0542562,1.296749682,0.0255338,Female,3.085521622,0.0433303,2.379427321,0.0575472,0.032372,0.409299933,Little or no detectable change
|
|||
|
C-8,"C-8. Melanoma deaths (age adjusted, per 100,000 population)",C,Race and ethnicity,4,0.38765575,0.0597482,Asian or Pacific Islander,1.520060291,0.0591308,3.921160176,0.623308756,0.280030588,0.0377361,Asian or Pacific Islander,1.206837701,0.0425933,4.309663844,0.600345685,0.388503668,0.448926118,Little or no detectable change
|
|||
|
C-8,"C-8. Melanoma deaths (age adjusted, per 100,000 population)",C,Geographic location,2,2.645990676,0.0321631,Metropolitan,2.94130011,0.074133309,1.111606377,0.0311053,2.000870828,0.0252201,Metropolitan,2.502997049,0.06610768,1.250953842,0.0366091,0.139347465,2.900701725,Increase
|
|||
|
C-9,"C-9. New cases of invasive colorectal cancer (age adjusted, per 100,000 population)",C,Sex,2,40.961044957,0.153960352,Female,54.749403269,0.201771899,1.336621254,0.00703599,33.185024278,0.131273128,Female,42.452035793,0.16015294,1.279252817,0.00699279,-0.057368,-5.783171664,Decrease
|
|||
|
C-9,"C-9. New cases of invasive colorectal cancer (age adjusted, per 100,000 population)",C,Race and ethnicity,5,35.224224108,1.368366451,American Indian or Alaska Native,45.141244727,0.495769816,1.281539789,0.0517357,28.963672535,0.392417408,Asian or Pacific Islander,35.869570004,0.622938429,1.238433074,0.0272784,-0.043107,-0.737034599,Little or no detectable change
|
|||
|
C-10,"C-10. New cases of invasive uterine cervical cancer (age adjusted, per 100,000 population)",C,Race and ethnicity,5,6.712781813,0.659801291,American Indian or Alaska Native,9.189799435,0.278263367,1.369000169,0.140799756,5.645219692,0.529201512,American Indian or Alaska Native,7.914063625,0.219446935,1.401905339,0.137047906,0.0329052,0.167468373,Little or no detectable change
|
|||
|
C-11,"C-11. New cases of late-stage female breast cancer (age adjusted, per 100,000 population)",C,Race and ethnicity,5,30.247903543,0.636985392,Asian or Pacific Islander,41.537770501,0.979648721,1.37324461,0.0434194,26.494071606,1.178168734,American Indian or Alaska Native,38.946882303,0.482812708,1.470022535,0.067863205,0.096777925,1.20124601,Little or no detectable change
|
|||
|
C-13,C-13. Relative 5-year cancer survival rate (percent),C,Sex,2,65.634279172,0.066387675,Male,64.709283625,0.065193105,1.014294634,0.00144803,68.0462,0.07545,Female,65.8038,0.07715,1.034077059,0.00166869,0.0197824,8.953879988,Increase
|
|||
|
C-15,"C-15. Women receiving a Pap test within past 3 years (age-adjusted percent, ages 21-65)",C,Race and ethnicity,6,86.1007973,4.256364905,Two or more races,81.380378389,3.009984851,1.058004386,0.065320927,85.543445796,1.334434548,"Black or African American only, not Hispanic or Latino",76.185301279,3.821429685,1.12283399,0.0589818,0.064829603,0.736620399,Little or no detectable change
|
|||
|
C-15,"C-15. Women receiving a Pap test within past 3 years (age-adjusted percent, ages 21-65)",C,Educational attainment,6,92.726960919,0.925627135,Advanced degree,83.618208176,1.55125051,1.108932647,0.0233616,90.259518895,0.950536727,Advanced degree,79.793028004,1.696916506,1.131170494,0.026844,0.0222378,0.62490422,Little or no detectable change
|
|||
|
C-15,"C-15. Women receiving a Pap test within past 3 years (age-adjusted percent, ages 21-65)",C,Family income,5,91.213294665,1.021005476,At or above 600% of the poverty threshold,81.129762616,1.611472904,1.124288938,0.0256336,87.634667522,1.056112791,At or above 600% of the poverty threshold,76.815192926,1.686396661,1.140850712,0.0285716,0.0165618,0.431463038,Little or no detectable change
|
|||
|
C-15,"C-15. Women receiving a Pap test within past 3 years (age-adjusted percent, ages 21-65)",C,Disability status,2,83.442738713,0.76039947,People without disabilities,73.170244409,2.348015782,1.14039169,0.0380419,81.446165265,0.78808232,People without disabilities,73.013337823,3.194994017,1.115497082,0.0499922,-0.024895,-0.396282103,Little or no detectable change
|
|||
|
C-15,"C-15. Women receiving a Pap test within past 3 years (age-adjusted percent, ages 21-65)",C,Geographic location,2,84.920011835,0.551491524,Metropolitan,82.28023267,1.602736704,1.032082787,0.0211918,81.282753772,0.586164935,Metropolitan,75.030975765,1.970488508,1.083322627,0.0295037,0.0512398,1.410564796,Little or no detectable change
|
|||
|
C-16,"C-16. Adults receiving colorectal cancer screening based on the most recent guidelines (age-adjusted percent, ages 50-75)",C,Sex,2,52.188565612,1.046706454,Male,52.142243036,0.915041831,1.000888389,0.0266736,65.674419842,0.843438322,Male,64.766040427,0.798284569,1.014025551,0.0180502,0.0131372,0.407898077,Little or no detectable change
|
|||
|
C-16,"C-16. Adults receiving colorectal cancer screening based on the most recent guidelines (age-adjusted percent, ages 50-75)",C,Race and ethnicity,6,55.114754467,0.82305403,"White only, not Hispanic or Latino",39.784428311,4.438893693,1.385334836,0.155945184,67.588124232,0.665529795,"White only, not Hispanic or Latino",59.613190371,3.959450184,1.133778008,0.076127496,-0.251556828,-1.449605246,Little or no detectable change
|
|||
|
C-16,"C-16. Adults receiving colorectal cancer screening based on the most recent guidelines (age-adjusted percent, ages 50-75)",C,Educational attainment,6,67.400795078,1.912346132,Advanced degree,50.668591266,1.96144436,1.330228321,0.063845053,74.809849625,1.410748651,Advanced degree,63.069834116,1.601358923,1.186143117,0.0375144,-0.144085204,-1.945761437,Little or no detectable change
|
|||
|
C-16,"C-16. Adults receiving colorectal cancer screening based on the most recent guidelines (age-adjusted percent, ages 50-75)",C,Family income,5,63.821920038,1.359716154,At or above 600% of the poverty threshold,45.625060868,2.090413009,1.398834737,0.070680798,74.313087392,1.035800134,At or above 600% of the poverty threshold,59.799357311,1.712303283,1.242707125,0.0395757,-0.156127613,-1.927352789,Little or no detectable change
|
|||
|
C-16,"C-16. Adults receiving colorectal cancer screening based on the most recent guidelines (age-adjusted percent, ages 50-75)",C,Disability status,2,58.124666103,1.090017517,People without disabilities,57.723665612,1.74411726,1.006946899,0.0358086,64.032651685,1.588860347,People with disabilities,61.826954801,1.007338682,1.035675328,0.0307433,0.0287284,0.608712965,Little or no detectable change
|
|||
|
C-16,"C-16. Adults receiving colorectal cancer screening based on the most recent guidelines (age-adjusted percent, ages 50-75)",C,Geographic location,2,53.06396258,0.80594935,Metropolitan,48.480587513,1.599110835,1.094540419,0.0397465,66.017332945,0.634212819,Metropolitan,60.569892695,1.373840095,1.089936436,0.0268478,-0.004604,-0.09598738,Little or no detectable change
|
|||
|
C-17,"C-17. Women receiving a mammogram within past 2 years (age-adjusted percent, ages 50-74)",C,Race and ethnicity,5,77.091295602,2.055184276,"Black or African American only, not Hispanic or Latino",70.361401701,5.18569606,1.095647525,0.085870564,74.046381158,2.263534486,"Black or African American only, not Hispanic or Latino",70.369399765,4.297101551,1.052252562,0.071857345,-0.043395,-0.387559595,Little or no detectable change
|
|||
|
C-17,"C-17. Women receiving a mammogram within past 2 years (age-adjusted percent, ages 50-74)",C,Educational attainment,6,85.633272317,2.076622363,Advanced degree,73.302527009,2.398538703,1.168217193,0.0475787,82.204372262,1.670667556,Advanced degree,71.250864231,2.107259053,1.153731581,0.0414016,-0.014486,-0.229674981,Little or no detectable change
|
|||
|
C-17,"C-17. Women receiving a mammogram within past 2 years (age-adjusted percent, ages 50-74)",C,Family income,5,84.478298171,1.504854493,At or above 600% of the poverty threshold,68.253421927,2.601551262,1.237715206,0.0520746,83.033754001,1.280408487,At or above 600% of the poverty threshold,66.903037924,2.205824639,1.241105884,0.0451742,0.00339068,0.0491843,Little or no detectable change
|
|||
|
C-17,"C-17. Women receiving a mammogram within past 2 years (age-adjusted percent, ages 50-74)",C,Disability status,2,75.244167026,1.266265994,People without disabilities,60.638833131,2.443119776,1.240857766,0.0541797,72.164411172,1.287208346,People without disabilities,65.822620781,2.482852359,1.096346671,0.0457452,-0.144511095,-2.037983544,Decrease
|
|||
|
C-17,"C-17. Women receiving a mammogram within past 2 years (age-adjusted percent, ages 50-74)",C,Geographic location,2,74.412622434,0.993166967,Metropolitan,71.016966887,1.744594443,1.047814708,0.0292942,73.706944957,0.798472814,Metropolitan,67.493837815,1.981507571,1.092054436,0.0341739,0.0442397,0.982860104,Little or no detectable change
|
|||
|
C-18.1,"C-18.1. Women counseled about mammograms (age-adjusted percent, ages 50-74)",C,Race and ethnicity,5,73.512154371,3.867107133,Asian only,67.507938012,4.361561335,1.088940894,0.09072581,67.716030966,5.73017384,Two or more races,65.499479143,2.753035655,1.033840755,0.097681771,-0.0551,-0.413307735,Little or no detectable change
|
|||
|
C-18.1,"C-18.1. Women counseled about mammograms (age-adjusted percent, ages 50-74)",C,Educational attainment,6,77.302039689,2.544551363,Advanced degree,69.82821128,2.476529251,1.107031646,0.0535667,74.02490146,2.044598589,Advanced degree,65.224303243,2.221856948,1.134928206,0.0497728,0.0278966,0.38151074,Little or no detectable change
|
|||
|
C-18.1,"C-18.1. Women counseled about mammograms (age-adjusted percent, ages 50-74)",C,Family income,5,79.125726802,1.608637351,At or above 600% of the poverty threshold,65.284712614,2.618148555,1.212010035,0.0544948,72.507679898,1.627923152,At or above 600% of the poverty threshold,63.854901329,2.284200371,1.135506882,0.0479568,-0.076503153,-1.053884817,Little or no detectable change
|
|||
|
C-18.1,"C-18.1. Women counseled about mammograms (age-adjusted percent, ages 50-74)",C,Disability status,2,62.688040747,1.404432423,People without disabilities,59.289484773,2.482900846,1.057321395,0.0502161,67.161964884,2.263951082,People with disabilities,63.72729978,1.365073902,1.053896291,0.0420916,-0.0034251,-0.052273,Little or no detectable change
|
|||
|
C-18.1,"C-18.1. Women counseled about mammograms (age-adjusted percent, ages 50-74)",C,Geographic location,2,70.285419726,0.985188089,Metropolitan,67.650981277,2.503751558,1.038941615,0.0411164,67.872366082,0.89466725,Metropolitan,60.844808996,2.182723537,1.115499698,0.042633,0.076558084,1.292567376,Little or no detectable change
|
|||
|
C-18.2,"C-18.2. Women counseled about Pap tests (age-adjusted percent, ages 21-65)",C,Race and ethnicity,6,66.090658778,5.218479378,Two or more races,57.416413542,3.884637159,1.151076055,0.119690286,54.348206344,0.910952958,"White only, not Hispanic or Latino",49.28622613,4.278089846,1.102705778,0.097484087,-0.04837,-0.313347666,Little or no detectable change
|
|||
|
C-18.2,"C-18.2. Women counseled about Pap tests (age-adjusted percent, ages 21-65)",C,Educational attainment,6,68.188196289,1.486384742,4-year college degree,59.373262604,2.205723239,1.148466385,0.0494681,57.227892048,1.693674738,Advanced degree,52.630618641,1.959744515,1.087349789,0.0517193,-0.061117,-0.853965752,Little or no detectable change
|
|||
|
C-18.2,"C-18.2. Women counseled about Pap tests (age-adjusted percent, ages 21-65)",C,Family income,5,66.276425403,1.753856337,At or above 600% of the poverty threshold,57.343771746,2.020272717,1.155773738,0.0509261,56.454659713,1.59465504,At or above 600% of the poverty threshold,51.901792404,1.867370736,1.087720811,0.0497548,-0.068052927,-0.955839577,Little or no detectable change
|
|||
|
C-18.2,"C-18.2. Women counseled about Pap tests (age-adjusted percent, ages 21-65)",C,Disability status,2,53.149232856,1.021024405,People without disabilities,50.78905492,2.817255604,1.046470208,0.06143,54.697948081,3.523933604,People with disabilities,51.39234581,1.05813317,1.064320907,0.071985741,0.0178507,0.18862884,Little or no detectable change
|
|||
|
C-18.2,"C-18.2. Women counseled about Pap tests (age-adjusted percent, ages 21-65)",C,Geographic location,2,60.620416454,0.816703201,Metropolitan,58.116908669,2.314004637,1.043077098,0.0438446,52.918672382,0.756650026,Metropolitan,51.633372636,1.839296436,1.02489281,0.0393402,-0.018184,-0.308696255,Little or no detectable change
|
|||
|
C-19,"C-19. Men ever counseled about advantages and disadvantages of the prostate-specific antigen (PSA) test (age-adjusted percent, ages 40 and over)",C,Race and ethnicity,4,20.068289958,1.521630535,"Black or African American only, not Hispanic or Latino",13.688582822,1.888053125,1.466060455,0.230752011,27.408700649,1.940061421,"Black or African American only, not Hispanic or Latino",20.657845976,2.167112044,1.326793736,0.167907594,-0.139266718,-0.488011352,Little or no detectable change
|
|||
|
C-19,"C-19. Men ever counseled about advantages and disadvantages of the prostate-specific antigen (PSA) test (age-adjusted percent, ages 40 and over)",C,Educational attainment,6,22.282275434,1.813694064,Advanced degree,13.426118038,1.360633806,1.659621595,0.215722822,29.369226936,1.557443538,Advanced degree,19.840283334,1.608298691,1.480282637,0.143390809,-0.179338958,-0.692344503,Little or no detectable change
|
|||
|
C-19,"C-19. Men ever counseled about advantages and disadvantages of the prostate-specific antigen (PSA) test (age-adjusted percent, ages 40 and over)",C,Family income,5,19.249311479,1.351314951,At or above 600% of the poverty threshold,12.267199786,1.353873064,1.569169151,0.20524729,24.665436936,1.150938938,At or above 600% of the poverty threshold,19.590389148,1.720953304,1.259058039,0.125239298,-0.310111113,-1.289765757,Little or no detectable change
|
|||
|
C-19,"C-19. Men ever counseled about advantages and disadvantages of the prostate-specific antigen (PSA) test (age-adjusted percent, ages 40 and over)",C,Disability status,2,14.180547122,0.845777598,People without disabilities,13.012362789,1.314136669,1.089774959,0.127818153,18.943249974,2.132767634,People with disabilities,16.897631531,0.934511669,1.121059477,0.140622356,0.0312845,0.164627712,Little or no detectable change
|
|||
|
C-19,"C-19. Men ever counseled about advantages and disadvantages of the prostate-specific antigen (PSA) test (age-adjusted percent, ages 40 and over)",C,Geographic location,2,15.132870855,0.589908915,Metropolitan,11.061758197,0.990759017,1.368034863,0.133631778,22.105531271,0.669658385,Metropolitan,16.383543927,1.356904478,1.349252114,0.118987335,-0.018783,-0.104973441,Little or no detectable change
|
|||
|
C-20.1,"C-20.1. Adolescents who report sunburn (percent, grades 9-12)",C,Sex,2,51.97367326,1.991437316,Male,59.75703527,2.752932001,1.149755858,0.068893947,52.756462332,1.629622724,Male,61.589933432,1.573242222,1.167438655,0.0467945,0.0176828,0.212321163,Little or no detectable change
|
|||
|
C-20.1,"C-20.1. Adolescents who report sunburn (percent, grades 9-12)",C,Race and ethnicity,7,14.983462771,1.559827761,"Black or African American only, not Hispanic or Latino",45.077445804,4.201533908,3.008479848,0.42038101,12.965285084,1.411508344,"Black or African American only, not Hispanic or Latino",46.016727998,3.675027783,3.549226083,0.479216247,0.540746235,0.848268885,Little or no detectable change
|
|||
|
C-20.2,"C-20.2. Adults reporting sunburn in the past 12 months (age-adjusted percent, ages 18 and over)",C,Sex,2,36.756588988,0.509075818,Female,38.454227097,0.54779215,1.046185953,0.0207859,35.190910498,0.561323483,Female,35.47679076,0.613372697,1.008123696,0.0237145,-0.038062,-1.206998209,Little or no detectable change
|
|||
|
C-20.2,"C-20.2. Adults reporting sunburn in the past 12 months (age-adjusted percent, ages 18 and over)",C,Race and ethnicity,6,10.533125988,0.634242099,"Black or African American only, not Hispanic or Latino",30.435552981,2.302004112,2.889508111,0.279348928,9.163200859,0.589409112,"Black or African American only, not Hispanic or Latino",28.39914635,2.061949749,3.099260486,0.300630666,0.209752375,0.511113075,Little or no detectable change
|
|||
|
C-20.2,"C-20.2. Adults reporting sunburn in the past 12 months (age-adjusted percent, ages 18 and over)",C,Educational attainment,6,22.802964231,0.95677033,Less than high school,38.001626135,1.136193198,1.666521324,0.085860784,19.727872197,0.923832971,Less than high school,35.958692463,1.096020311,1.822735473,0.101844563,0.156214149,1.172707878,Little or no detectable change
|
|||
|
C-20.2,"C-20.2. Adults reporting sunburn in the past 12 months (age-adjusted percent, ages 18 and over)",C,Family income,5,25.887497863,0.813471937,Below the poverty threshold (<100%),39.629454695,1.071071414,1.530833722,0.063449209,24.815118653,0.863776432,Below the poverty threshold (<100%),36.799932762,1.055126152,1.482964207,0.066876772,-0.04787,-0.519269565,Little or no detectable change
|
|||
|
C-20.2,"C-20.2. Adults reporting sunburn in the past 12 months (age-adjusted percent, ages 18 and over)",C,Disability status,2,32.755128748,1.666136876,People with disabilities,38.648043291,0.580420586,1.179908148,0.062578958,31.50646192,1.597616584,People with disabilities,35.637246974,0.621218242,1.131109138,0.0606503,-0.048799,-0.55996267,Little or no detectable change
|
|||
|
C-20.2,"C-20.2. Adults reporting sunburn in the past 12 months (age-adjusted percent, ages 18 and over)",C,Geographic location,2,36.789922947,0.438434096,Metropolitan,41.993038524,0.947295998,1.141427738,0.029121,34.576668048,0.4923418,Metropolitan,39.908972058,1.278117628,1.154216826,0.0404537,0.0127891,0.256576564,Little or no detectable change
|
|||
|
C-20.3,"C-20.3. Adolescents using indoor tanning devices (percent, grades 9-12)",C,Sex,2,6.723069788,0.595656591,Male,25.398128493,1.542811127,3.777757675,0.405818554,3.508327575,0.357004142,Male,7.475499601,0.901422343,2.130787231,0.336200835,-1.646970444,-3.125233432,Decrease
|
|||
|
C-20.3,"C-20.3. Adolescents using indoor tanning devices (percent, grades 9-12)",C,Race and ethnicity,7,4.502218444,0.795495187,"Black or African American only, not Hispanic or Latino",10.645949487,2.047637885,2.364600834,0.6175808,3.235914779,0.311926018,Hispanic or Latino,5.881284431,1.828075044,1.81750288,0.591475868,-0.547097954,-0.639782307,Little or no detectable change
|
|||
|
C-20.4,"C-20.4. Adults using indoor tanning devices (age-adjusted percent, ages 18 and over)",C,Sex,2,2.232977394,0.168543189,Male,8.879526679,0.350089738,3.976541233,0.33862665,1.654703363,0.151896568,Male,5.464096994,0.264859696,3.30216105,0.3427934,-0.674380183,-1.399576913,Little or no detectable change
|
|||
|
C-20.4,"C-20.4. Adults using indoor tanning devices (age-adjusted percent, ages 18 and over)",C,Educational attainment,6,1.947471758,0.302899661,Less than high school,4.843099975,0.516254593,2.486865319,0.46891601,1.553408735,0.303809848,Less than high school,3.392697374,0.437167439,2.184033922,0.511520079,-0.302831397,-0.436402232,Little or no detectable change
|
|||
|
C-20.4,"C-20.4. Adults using indoor tanning devices (age-adjusted percent, ages 18 and over)",C,Family income,5,3.072400666,0.29433548,Below the poverty threshold (<100%),6.089695331,0.601937514,1.982064188,0.272834529,2.454435633,0.303062562,Below the poverty threshold (<100%),3.70685972,0.418551124,1.510269681,0.25269588,-0.471794507,-1.268677936,Little or no detectable change
|
|||
|
C-20.4,"C-20.4. Adults using indoor tanning devices (age-adjusted percent, ages 18 and over)",C,Disability status,2,3.651827388,0.751820559,People with disabilities,5.777949329,0.301558605,1.582207677,0.336041368,2.796924155,0.6469525,People with disabilities,3.45808842,0.224170398,1.236389773,0.29700626,-0.345817905,-0.771084565,Little or no detectable change
|
|||
|
C-20.4,"C-20.4. Adults using indoor tanning devices (age-adjusted percent, ages 18 and over)",C,Geographic location,2,5.093166567,0.209856475,Metropolitan,8.354509387,0.629103962,1.640336965,0.140801608,3.197081873,0.172460418,Metropolitan,6.287989188,0.543478452,1.966790166,0.200383078,0.326453201,1.332978786,Little or no detectable change
|
|||
|
C-20.5,"C-20.5. Adolescents using protective measures to prevent skin cancer (percent, grades 9-12)",C,Sex,2,12.411247569,0.690687103,Female,6.5082751,0.437057057,1.906994922,0.166320134,13.198550688,0.605758063,Female,6.907460025,0.700419619,1.910767582,0.212675193,0.00377266,0.0139735,Little or no detectable change
|
|||
|
C-20.5,"C-20.5. Adolescents using protective measures to prevent skin cancer (percent, grades 9-12)",C,Race and ethnicity,7,13.132832122,1.588452126,Asian only,8.811547068,1.495425118,1.490411618,0.310605943,15.462955026,1.780211298,Asian only,9.219459863,1.89762441,1.677208346,0.395549488,0.186796728,0.371419254,Little or no detectable change
|
|||
|
C-20.6,"C-20.6. Adults using protective measures to prevent skin cancer (age-adjusted percent, ages 18 and over)",C,Sex,2,71.183163447,0.572360117,Female,62.745775233,0.661333983,1.134469423,0.0150394,74.764195712,0.505007554,Female,66.688937922,0.593936493,1.121088415,0.0125313,-0.013381,-0.683543577,Little or no detectable change
|
|||
|
C-20.6,"C-20.6. Adults using protective measures to prevent skin cancer (age-adjusted percent, ages 18 and over)",C,Race and ethnicity,6,75.589674818,4.700229416,American Indian or Alaska Native only,67.57578475,2.150666809,1.118591151,0.078136222,76.212750137,1.325442241,Asian only,71.238227665,2.176819312,1.069829397,0.0376146,-0.048762,-0.56229837,Little or no detectable change
|
|||
|
C-20.6,"C-20.6. Adults using protective measures to prevent skin cancer (age-adjusted percent, ages 18 and over)",C,Educational attainment,6,75.257259447,1.152318388,Advanced degree,68.27317216,1.204100405,1.102296218,0.0257451,76.498880576,1.00691821,Advanced degree,71.577773252,1.073219279,1.068751892,0.0213233,-0.033544,-1.003453753,Little or no detectable change
|
|||
|
C-20.6,"C-20.6. Adults using protective measures to prevent skin cancer (age-adjusted percent, ages 18 and over)",C,Family income,5,70.00582643,1.030111163,At or above 600% of the poverty threshold,66.780441049,1.216849131,1.048298354,0.0245523,73.221014523,0.984993504,At or above 600% of the poverty threshold,70.358431105,1.038726039,1.04068572,0.0207856,-0.0076126,-0.236643314,Little or no detectable change
|
|||
|
C-20.6,"C-20.6. Adults using protective measures to prevent skin cancer (age-adjusted percent, ages 18 and over)",C,Disability status,2,71.460910582,1.64820409,People with disabilities,68.93536185,0.588307761,1.036636476,0.0254937,74.903934271,1.732878534,People with disabilities,69.980768489,0.601399171,1.070350267,0.0264155,0.0337138,0.918354555,Little or no detectable change
|
|||
|
C-20.6,"C-20.6. Adults using protective measures to prevent skin cancer (age-adjusted percent, ages 18 and over)",C,Geographic location,2,67.033547849,0.491557028,Metropolitan,66.522022717,1.291985169,1.007689561,0.0209198,71.033594573,0.446445833,Metropolitan,68.911920367,1.298852188,1.030788203,0.02048,0.0230986,0.789003667,Little or no detectable change
|
|||
|
CKD-1,"CKD-1. Persons with chronic kidney disease (age-adjusted percent, ages 18 and over)",CKD,Sex,2,13.87145,0.4833661,Male,15.64708,0.3605995,1.128006084,0.0471253,13.13,0.44,Male,16.09,0.45,1.225437928,0.0534884,0.097431844,1.366759639,Little or no detectable change
|
|||
|
CKD-1,"CKD-1. Persons with chronic kidney disease (age-adjusted percent, ages 18 and over)",CKD,Race and ethnicity,3,13.95541,0.3674345,"White only, not Hispanic or Latino",16.582765,1.975050176,1.188267847,0.144942628,14.03,0.48,"White only, not Hispanic or Latino",16.77,0.968762097,1.195295795,0.080250385,0.00702795,0.0424199,Little or no detectable change
|
|||
|
CKD-1,"CKD-1. Persons with chronic kidney disease (age-adjusted percent, ages 18 and over)",CKD,Educational attainment,4,13.49585,0.6255583,College graduate or above,17.23363,0.986280873,1.276957731,0.094043174,13.57,0.71,College graduate or above,16.743333333,0.923823576,1.233849177,0.09382014,-0.043109,-0.324516043,Little or no detectable change
|
|||
|
CKD-1,"CKD-1. Persons with chronic kidney disease (age-adjusted percent, ages 18 and over)",CKD,Family income,5,13.6765,0.6396132,Above 500% of the poverty threshold,15.5846475,0.911949259,1.139520162,0.085359791,13.91,0.49,Above 500% of the poverty threshold,16.004715,1.150641977,1.150590582,0.092116554,0.0110704,0.088150364,Little or no detectable change
|
|||
|
CKD-1,"CKD-1. Persons with chronic kidney disease (age-adjusted percent, ages 18 and over)",CKD,Disability status,2,13.5191,0.4583525,People without activity limitations,19.19366,0.7454525,1.419743918,0.07319483,13.24,0.46,People without activity limitations,19.84,0.89,1.498489426,0.085024037,0.078745508,0.70189491,Little or no detectable change
|
|||
|
CKD-2,"CKD-2. Persons with chronic kidney disease who know they have impaired renal function (age-adjusted percent, ages 45 and over)",CKD,Sex,2,10.195,1.433045,Male,8.91025,1.043675,1.144187874,0.209351976,9.61,1.29,Female,7.19,0.77,1.336578581,0.229518337,0.192390708,0.619305407,Little or no detectable change
|
|||
|
CKD-2,"CKD-2. Persons with chronic kidney disease who know they have impaired renal function (age-adjusted percent, ages 45 and over)",CKD,Race and ethnicity,3,13.54375,1.88644,"Black or African American only, not Hispanic or Latino",8.0030875,3.034545748,1.692315622,0.683602516,10.26,1.86,"Black or African American only, not Hispanic or Latino",7.86,1.646572197,1.305343511,0.361629275,-0.38697211,-0.500376694,Little or no detectable change
|
|||
|
CKD-2,"CKD-2. Persons with chronic kidney disease who know they have impaired renal function (age-adjusted percent, ages 45 and over)",CKD,Educational attainment,4,12.65995,2.262994,Less than high school,8.123311667,1.65654488,1.558471535,0.422623701,10.75,1.84,Less than high school,7.746666667,2.207634481,1.387693632,0.461310613,-0.170777903,-0.272967616,Little or no detectable change
|
|||
|
CKD-2,"CKD-2. Persons with chronic kidney disease who know they have impaired renal function (age-adjusted percent, ages 45 and over)",CKD,Family income,5,11.96885,2.120657,At 100%-199% of the poverty threshold,8.903038,2.101805056,1.344355713,0.396814358,10.94458,1.477578,Below the poverty threshold (<100%),7.8848185,1.962306018,1.388057315,0.393002781,0.0437016,0.078249352,Little or no detectable change
|
|||
|
CKD-2,"CKD-2. Persons with chronic kidney disease who know they have impaired renal function (age-adjusted percent, ages 45 and over)",CKD,Disability status,2,14.42088,1.803008,People with activity limitations,6.634705,0.7861536,2.173552554,0.374406936,11.51,1.57,People with activity limitations,7.17,1.03,1.605299861,0.318004667,-0.568252694,-1.156794123,Little or no detectable change
|
|||
|
CKD-3,"CKD-3. Hospital patients with acute kidney injury who have renal evaluation within 6 months post discharge (percent, ages 65 and over)",CKD,Sex,2,12.5302,0.35528,Male,9.9792,0.30543,1.255631714,0.0523873,18.4553,0.38093,Male,16.6439,0.36769,1.108832665,0.0335241,-0.146799049,-2.360281273,Decrease
|
|||
|
CKD-4.1,"CKD-4.1. Persons with chronic kidney disease receiving medical evaluation (percent, ages 65 and over)",CKD,Sex,2,27.1524,0.22061,Male,24.4275,0.2079,1.111550507,0.013079,35.5079,0.16191,Male,32.4968,0.15576,1.092658354,0.00722856,-0.018892,-1.264227929,Little or no detectable change
|
|||
|
CKD-4.2,"CKD-4.2. Persons with type 1 or 2 diabetes and chronic kidney disease receiving medical evaluation (percent, ages 65 and over)",CKD,Sex,2,23.4855,0.30309,Male,22.5033,0.29643,1.043646932,0.0192459,30.7694,0.22152,Male,30.6472,0.22538,1.003987314,0.0103324,-0.03966,-1.815578796,Little or no detectable change
|
|||
|
CKD-5,"CKD-5. Persons with diabetes and chronic kidney disease receiving recommended treatment (percent, ages 65 and over)",CKD,Sex,2,68.9533,0.41517,Female,65.0377,0.51746,1.060205081,0.0105785,71.8274,0.25224,Female,70.8777,0.26401,1.013399137,0.00518787,-0.046806,-3.972628918,Decrease
|
|||
|
CKD-6.1,"CKD-6.1. Persons with chronic kidney disease and hypertension (age-adjusted percent, ages 18 and over)",CKD,Sex,2,20.80265,1.972486,Female,24.78645,2.692339,1.191504448,0.171796795,22.33,1.55,Female,26.36,2.26,1.180474698,0.130221224,-0.01103,-0.051165,Little or no detectable change
|
|||
|
CKD-6.1,"CKD-6.1. Persons with chronic kidney disease and hypertension (age-adjusted percent, ages 18 and over)",CKD,Educational attainment,4,17.98743,3.872788,College graduate or above,24.67045,4.129810049,1.371538347,0.37405246,21.98,3.04,High school graduate or equivalent,26.096666667,3.371668726,1.187291477,0.22471327,-0.184246869,-0.422234546,Little or no detectable change
|
|||
|
CKD-6.1,"CKD-6.1. Persons with chronic kidney disease and hypertension (age-adjusted percent, ages 18 and over)",CKD,Family income,5,17.30446,4.1044,At 400%-499% of the poverty threshold,23.58987,3.545489347,1.363224856,0.382789773,11.78077,2.935965,At 400%-499% of the poverty threshold,22.49015,3.005180134,1.909056029,0.53984052,0.545831173,0.824789636,Little or no detectable change
|
|||
|
CKD-6.1,"CKD-6.1. Persons with chronic kidney disease and hypertension (age-adjusted percent, ages 18 and over)",CKD,Disability status,2,21.05513,1.881735,People without activity limitations,30.64727,3.412301,1.455572585,0.207816631,23.52,1.54,People without activity limitations,27.17,2.55,1.155187075,0.132195067,-0.30038551,-1.219596045,Little or no detectable change
|
|||
|
CKD-6.2,"CKD-6.2. Persons with chronic kidney disease: statin use (age-adjusted percent, ages 50 and over)",CKD,Sex,2,22.76774,1.988687,Male,20.86682,2.315138,1.091097733,0.154068909,24.19,3.11,Male,20.04,2.45,1.207085828,0.214153146,0.115988095,0.439655535,Little or no detectable change
|
|||
|
CKD-6.2,"CKD-6.2. Persons with chronic kidney disease: statin use (age-adjusted percent, ages 50 and over)",CKD,Educational attainment,4,27.46751,2.926609,High school graduate or equivalent,20.745456667,3.393244086,1.324025325,0.258460473,26.67,3.78,High school graduate or equivalent,20.85,4.845559823,1.279136691,0.3481937,-0.044889,-0.103516719,Little or no detectable change
|
|||
|
CKD-6.2,"CKD-6.2. Persons with chronic kidney disease: statin use (age-adjusted percent, ages 50 and over)",CKD,Family income,5,24.52371,3.158098,At 100%-199% of the poverty threshold,19.9649125,4.231384936,1.22834047,0.304625017,37.83,5.17,At 100%-199% of the poverty threshold,29.53,5.684173936,1.281070098,0.302421359,0.0527296,0.122841462,Little or no detectable change
|
|||
|
CKD-6.2,"CKD-6.2. Persons with chronic kidney disease: statin use (age-adjusted percent, ages 50 and over)",CKD,Disability status,2,21.99307,2.135382,People with activity limitations,21.48111,1.671263,1.023833033,0.127384766,23.63,3.41,People with activity limitations,21.17,2.32,1.116202173,0.202259347,0.09236914,0.386431962,Little or no detectable change
|
|||
|
CKD-7,"CKD-7. Deaths among persons with chronic kidney disease (age adjusted, per 1,000 person years of follow-up, ages 18 and over)",CKD,Sex,2,19.7,1,Female,26.6,2,1.350253807,0.122493792,18.6,2,Female,22.8,3,1.225806452,0.208297124,-0.124447355,-0.51500024,Little or no detectable change
|
|||
|
CKD-7,"CKD-7. Deaths among persons with chronic kidney disease (age adjusted, per 1,000 person years of follow-up, ages 18 and over)",CKD,Educational attainment,4,16.8,2,College graduate or above,23.433333333,2.915475947,1.39484127,0.240186712,8.4,2,College graduate or above,23.066666667,4.242640687,2.746031746,0.826183284,1.351190476,1.570442168,Little or no detectable change
|
|||
|
CKD-7,"CKD-7. Deaths among persons with chronic kidney disease (age adjusted, per 1,000 person years of follow-up, ages 18 and over)",CKD,Family income,5,17.5,2,Above 500% of the poverty threshold,24.525,4.434711565,1.401428571,0.299783186,12.2,2,Above 500% of the poverty threshold,23.175,5.354126135,1.899590164,0.538122325,0.498161593,0.808714971,Little or no detectable change
|
|||
|
CKD-8,"CKD-8. New cases of end-stage renal disease (ESRD) (adjusted for age, sex, and race; per million population)",CKD,Sex,2,314.927,0.87,Female,486.851,1.198,1.54591699,0.00571922,281.244,0.755,Female,451.6,1.035,1.605723144,0.0056678,0.0598062,7.42756604,Increase
|
|||
|
CKD-8,"CKD-8. New cases of end-stage renal disease (ESRD) (adjusted for age, sex, and race; per million population)",CKD,Race and ethnicity,6,275.921,1.15,"White only, not Hispanic or Latino",1001.3132,49.38128922,3.628985108,0.179606934,267.972,1.072,"White only, not Hispanic or Latino",944.1394,38.345723523,3.523276312,0.143788472,-0.105708796,-0.459456807,Little or no detectable change
|
|||
|
CKD-9.1,"CKD-9.1. New cases of kidney failure due to diabetes (adjusted for age, sex, and race; per million population)",CKD,Sex,2,145.827,0.598,Female,202.251,0.769,1.386924232,0.00775598,134.233,0.521,Female,204.261,0.691,1.521689897,0.0078347,0.134765665,12.224307489,Increase
|
|||
|
CKD-9.1,"CKD-9.1. New cases of kidney failure due to diabetes (adjusted for age, sex, and race; per million population)",CKD,Race and ethnicity,6,112.955,0.74,"White only, not Hispanic or Latino",582.3126,38.626607549,5.15526183,0.343628314,120.257,0.716,"White only, not Hispanic or Latino",565.9734,30.367716201,4.706365534,0.254073418,-0.448896296,-1.050401998,Little or no detectable change
|
|||
|
CKD-9.2,"CKD-9.2. New cases of kidney failure due to diabetes among persons with diabetes (adjusted for age, sex, and race; per million persons with diabetes)",CKD,Sex,2,2323.68,50.009,Female,2926.24,69.185,1.259312814,0.0402619,2100.87,46.279,Female,2717.51,60.2,1.293516496,0.0404106,0.0342037,0.599600172,Little or no detectable change
|
|||
|
CKD-9.2,"CKD-9.2. New cases of kidney failure due to diabetes among persons with diabetes (adjusted for age, sex, and race; per million persons with diabetes)",CKD,Race and ethnicity,5,2044.5,44.765,"White only, not Hispanic or Latino",3158.76,251.245332124,1.545003668,0.127459471,1798.31,189.43,American Indian or Alaska Native only,2701.9425,149.701130407,1.502489838,0.178826364,-0.042514,-0.193595424,Little or no detectable change
|
|||
|
CKD-10,CKD-10. Chronic kidney disease patients under nephrologist's care 12 months or more before renal replacement therapy (percent),CKD,Sex,2,27.2885,0.2169,Female,27.2751,0.1918,1.000491291,0.0106178,36.9538,0.232,Female,36.6857,0.1974,1.007308025,0.0083289,0.00681673,0.505139182,Little or no detectable change
|
|||
|
CKD-10,CKD-10. Chronic kidney disease patients under nephrologist's care 12 months or more before renal replacement therapy (percent),CKD,Race and ethnicity,6,30.4935,0.2018,"White only, not Hispanic or Latino",24.34182,1.127754078,1.252720626,0.0586275,40.651,0.208,"White only, not Hispanic or Latino",33.38286,1.066919691,1.217720711,0.0394141,-0.035,-0.49543666,Little or no detectable change
|
|||
|
CKD-11.1,"CKD-11.1. Hemodialysis patients using arteriovenous fistulas as primary access mode (percent, ages 18 and over)",CKD,Sex,2,54.104401228,0.712967172,Male,35.498290823,0.77593648,1.524141021,0.0389011,69.9401,0.1185,Male,56.4061,0.1643,1.239938588,0.00417826,-0.284202433,-7.263980423,Decrease
|
|||
|
CKD-11.1,"CKD-11.1. Hemodialysis patients using arteriovenous fistulas as primary access mode (percent, ages 18 and over)",CKD,Race and ethnicity,4,57.718120805,4.047064236,American Indian or Alaska Native only,46.382416769,1.309841661,1.24439658,0.09406517,76.2909,0.6902,American Indian or Alaska Native only,64.639233333,0.220991233,1.180256882,0.0114147,-0.064139698,-0.676898816,Little or no detectable change
|
|||
|
CKD-11.2,"CKD-11.2. Hemodialysis patients using catheters as only access mode (percent, ages 18 and over)",CKD,Sex,2,25.301944729,0.62201279,Male,33.736523797,0.766697612,1.333356948,0.0446391,14.1212,0.2002,Male,18.3693,0.2248,1.300831374,0.0243627,-0.032526,-0.639579666,Little or no detectable change
|
|||
|
CKD-11.2,"CKD-11.2. Hemodialysis patients using catheters as only access mode (percent, ages 18 and over)",CKD,Race and ethnicity,4,18.791946309,3.20031184,American Indian or Alaska Native only,28.139722885,1.156573195,1.497435253,0.262338415,11.6335,1.3325,American Indian or Alaska Native only,15.753566667,0.348363417,1.354155385,0.157968993,-0.143279869,-0.467886098,Little or no detectable change
|
|||
|
CKD-11.3,"CKD-11.3. New hemodialysis patients using arteriovenous fistulas as primary access mode (percent, ages 18 and over)",CKD,Sex,2,34.91,0.1268,Male,27.4681,0.134,1.270928823,0.00772987,37.041,0.1227,Male,31.92,0.1379,1.160432331,0.00631737,-0.110496492,-11.068480857,Decrease
|
|||
|
CKD-11.3,"CKD-11.3. New hemodialysis patients using arteriovenous fistulas as primary access mode (percent, ages 18 and over)",CKD,Race and ethnicity,6,37.7149,1.5412,American Indian or Alaska Native only,32.56776,0.99340789,1.158044029,0.0590526,40.5754,1.5466,American Indian or Alaska Native only,35.009,0.80202004,1.158999115,0.0515423,0.000955086,0.0121849,Little or no detectable change
|
|||
|
CKD-12,"CKD-12. Dialysis patients on waiting list for or receiving a kidney transplant within 1 year of end-stage renal disease (ESRD) start (percent, under age 70)",CKD,Sex,2,18.0614,0.2096,Male,15.4709,0.2246,1.167443394,0.0216979,16.2609,0.1754,Male,15.0602,0.2019,1.079726697,0.0185787,-0.087716697,-3.070758318,Decrease
|
|||
|
CKD-12,"CKD-12. Dialysis patients on waiting list for or receiving a kidney transplant within 1 year of end-stage renal disease (ESRD) start (percent, under age 70)",CKD,Race and ethnicity,6,31.4038,1.0586,Asian only,14.92102,0.849315337,2.104668448,0.139231192,29.114,0.8284,Asian only,13.3414,0.680954128,2.182229751,0.127520702,0.077561303,0.410803838,Little or no detectable change
|
|||
|
CKD-13.1,"CKD-13.1. Persons receiving a kidney transplant within 3 years of end-stage renal disease (ESRD) (percent, under age 70)",CKD,Sex,2,19.6237,0.22976,Male,16.5419,0.24317,1.186302662,0.0222943,12.9709,0.16898,Male,12.2803,0.19631,1.056236411,0.0217816,-0.130066251,-4.173001433,Decrease
|
|||
|
CKD-13.1,"CKD-13.1. Persons receiving a kidney transplant within 3 years of end-stage renal disease (ESRD) (percent, under age 70)",CKD,Race and ethnicity,6,25.0636,0.28898,"White only, not Hispanic or Latino",13.47526,0.970345396,1.859971533,0.135641434,18.0234,0.7331,Asian only,9.5767,0.576326396,1.882005284,0.136702616,0.0220338,0.114414809,Little or no detectable change
|
|||
|
CKD-13.2,"CKD-13.2. Persons receiving a preemptive kidney transplant at the start of end-stage renal disease (ESRD) (percent, under age 70)",CKD,Sex,2,4.194,0.1007,Male,3.8425,0.1113,1.091476903,0.0410648,4.0529,0.108,Female,3.9288,0.0892,1.031587253,0.036114,-0.05989,-1.095158278,Little or no detectable change
|
|||
|
CKD-13.2,"CKD-13.2. Persons receiving a preemptive kidney transplant at the start of end-stage renal disease (ESRD) (percent, under age 70)",CKD,Race and ethnicity,6,6.2854,0.1373,"White only, not Hispanic or Latino",1.89354,0.374658761,3.319391193,0.660770368,4.225,0.1048,"White only, not Hispanic or Latino",1.5596,0.248000247,2.709027956,0.435986362,-0.610363237,-0.771006378,Little or no detectable change
|
|||
|
CKD-14.1,"CKD-14.1. Total deaths among persons on dialysis (per 1,000 patient years at risk)",CKD,Sex,2,204.792,1.0616,Male,212.082,1.1878,1.035597094,0.0079031,170.742,0.7988,Male,176.167,0.9341,1.031773085,0.00729591,-0.003824,-0.355526256,Little or no detectable change
|
|||
|
CKD-14.1,"CKD-14.1. Total deaths among persons on dialysis (per 1,000 patient years at risk)",CKD,Race and ethnicity,7,144.583,5.3513,Two or more races,176.949166667,4.296598352,1.223858729,0.0541753,118.523,4.2657,Native Hawaiian or Other Pacific Islander only,150.131333333,4.306334593,1.266685228,0.0582961,0.0428265,0.538138656,Little or no detectable change
|
|||
|
CKD-14.2,"CKD-14.2. Deaths of persons on dialysis in first 3 months of renal replacement therapy (per 1,000 patient years at risk)",CKD,Sex,2,370.83,5.963,Female,373.19,5.326,1.006364102,0.0216368,289.68,4.289,Male,293.53,5.054,1.013290527,0.0230103,0.00692643,0.219293273,Little or no detectable change
|
|||
|
CKD-14.2,"CKD-14.2. Deaths of persons on dialysis in first 3 months of renal replacement therapy (per 1,000 patient years at risk)",CKD,Race and ethnicity,7,169.9,29.137,Native Hawaiian or Other Pacific Islander only,284.11,30.837343598,1.672218952,0.339388359,149.52,22.802,American Indian or Alaska Native only,258.158333333,101.150985172,1.726580614,0.725939807,0.0543617,0.067837007,Little or no detectable change
|
|||
|
CKD-14.3,"CKD-14.3. Cardiovascular disease deaths among persons on dialysis (per 1,000 patient years at risk)",CKD,Sex,2,89.297,0.7707,Female,91.113,0.7081,1.020336629,0.0118504,65.985,0.5717,Female,68.046,0.5043,1.031234371,0.0117575,0.0108977,0.652817118,Little or no detectable change
|
|||
|
CKD-14.3,"CKD-14.3. Cardiovascular disease deaths among persons on dialysis (per 1,000 patient years at risk)",CKD,Race and ethnicity,7,65.756,3.6088,Two or more races,79.320833333,2.926890592,1.206290427,0.07977552,49.053,4.81,Two or more races,61.171666667,2.113362075,1.247052508,0.129650186,0.0407621,0.267770273,Little or no detectable change
|
|||
|
CKD-14.4,"CKD-14.4. Total deaths among persons with a functioning kidney transplant (per 1,000 patient years at risk)",CKD,Sex,2,28.183,0.6882,Female,32.67,0.615,1.159209453,0.0357415,30.546,0.6123,Female,34.925,0.5401,1.143357559,0.0289466,-0.015852,-0.344658267,Little or no detectable change
|
|||
|
CKD-14.4,"CKD-14.4. Total deaths among persons with a functioning kidney transplant (per 1,000 patient years at risk)",CKD,Race and ethnicity,7,15.797,2.4091,Two or more races,26.236666667,3.127357019,1.660863877,0.32147698,21.89,1.4371,Asian only,32.849,3.309252033,1.500639561,0.180444451,-0.160224316,-0.434616766,Little or no detectable change
|
|||
|
CKD-14.5,"CKD-14.5. Cardiovascular disease deaths among persons with a functioning kidney transplant (per 1,000 patient years at risk)",CKD,Sex,2,4.0837,0.262,Female,5.6843,0.2565,1.391948478,0.109180475,2.2213,0.1651,Female,2.8986,0.1556,1.304911538,0.119639755,-0.08703694,-0.537366966,Little or no detectable change
|
|||
|
CKD-14.5,"CKD-14.5. Cardiovascular disease deaths among persons with a functioning kidney transplant (per 1,000 patient years at risk)",CKD,Race and ethnicity,4,3.2179,0.4225,Hispanic or Latino,4.8007,0.687289521,1.491873582,0.289803532,1.3209,0.353,Asian only,2.664633333,0.292402001,2.017286194,0.58278259,0.525412612,0.807256271,Little or no detectable change
|
|||
|
D-1,"D-1. New cases of diabetes (age adjusted, per 1,000 population, ages 18-84 years)",D,Sex,2,7.713726111,0.498982314,Female,8.330288077,0.548328466,1.079930498,0.099665433,6.326999896,0.45919717,Female,6.659107253,0.471578598,1.052490495,0.106725538,-0.02744,-0.187911995,Little or no detectable change
|
|||
|
D-1,"D-1. New cases of diabetes (age adjusted, per 1,000 population, ages 18-84 years)",D,Race and ethnicity,4,7.239699423,0.453556365,"White only, not Hispanic or Latino",9.928291055,1.749856509,1.371367853,0.256518116,5.26829688,0.329951813,"White only, not Hispanic or Latino",8.565598094,1.527463485,1.625876121,0.307296684,0.254508268,0.635808295,Little or no detectable change
|
|||
|
D-1,"D-1. New cases of diabetes (age adjusted, per 1,000 population, ages 18-84 years)",D,Educational attainment,6,4.424920707,0.850799598,Advanced degree,9.666193538,1.213825283,2.184489661,0.501664608,4.645630557,0.74193528,Advanced degree,8.676507693,1.291982197,1.867670618,0.407815422,-0.316819044,-0.490041786,Little or no detectable change
|
|||
|
D-1,"D-1. New cases of diabetes (age adjusted, per 1,000 population, ages 18-84 years)",D,Family income,5,5.195909353,0.766309166,At or above 600% of the poverty threshold,9.361805138,1.227949603,1.801764523,0.355618195,4.456487915,0.554422367,At or above 600% of the poverty threshold,7.824081542,1.174789527,1.755660891,0.342342588,-0.046104,-0.093398646,Little or no detectable change
|
|||
|
D-1,"D-1. New cases of diabetes (age adjusted, per 1,000 population, ages 18-84 years)",D,Disability status,2,8.543289259,0.607146274,People without disabilities,25.335208097,2.576600207,2.965509809,0.367932306,7.988819291,0.650585095,People without disabilities,15.26065074,1.83676302,1.910251088,0.277600737,-1.055258721,-2.289520486,Decrease
|
|||
|
D-1,"D-1. New cases of diabetes (age adjusted, per 1,000 population, ages 18-84 years)",D,Geographic location,2,7.765397752,0.41216971,Metropolitan,8.914188125,1.048833905,1.147937093,0.148172274,6.16874447,0.356926436,Metropolitan,8.741735902,0.899526417,1.417101315,0.167291711,0.269164222,1.204443324,Little or no detectable change
|
|||
|
D-3,"D-3. Diabetes-related deaths (age adjusted, per 100,000 population)",D,Sex,2,62.854930119,0.187180046,Female,88.82947986,0.264400981,1.413246021,0.0059504,55.192871798,0.161117629,Female,86.903912416,0.229947168,1.574549567,0.00620358,0.161303547,18.764907141,Increase
|
|||
|
D-3,"D-3. Diabetes-related deaths (age adjusted, per 100,000 population)",D,Race and ethnicity,5,56.723320832,0.772735853,Asian or Pacific Islander,96.962687252,1.544314929,1.709397226,0.035826,50.879255301,0.529729401,Asian or Pacific Islander,85.563763709,1.111555851,1.68170236,0.0279974,-0.027695,-0.609103795,Little or no detectable change
|
|||
|
D-3,"D-3. Diabetes-related deaths (age adjusted, per 100,000 population)",D,Geographic location,2,71.775878085,0.168053941,Metropolitan,84.268199994,0.389143193,1.174046243,0.0060787,65.967962484,0.144259675,Metropolitan,86.094766621,0.374108713,1.305099678,0.00634873,0.131053436,14.910071679,Increase
|
|||
|
D-4,"D-4. Lower extremity amputations in persons with diagnosed diabetes (age adjusted, per 1,000 population)",D,Sex,2,2.201888773,0.201503573,Female,4.787892787,0.400332242,2.174448068,0.269544,2.003860852,0.28278258,Female,4.672808074,0.447210399,2.331902472,0.3976147,0.157454404,0.327780129,Little or no detectable change
|
|||
|
D-5.1,"D-5.1. Persons with diagnosed diabetes whose A1c value is greater than 9% (age-adjusted percent, ages 18 and over)",D,Sex,2,17.705734777,2.147049159,Female,18.511558352,3.095357202,1.04551201,0.215954789,17.412780752,2.552691785,Female,20.045714065,3.566586215,1.151206941,0.26539666,0.105694931,0.308907111,Little or no detectable change
|
|||
|
D-5.1,"D-5.1. Persons with diagnosed diabetes whose A1c value is greater than 9% (age-adjusted percent, ages 18 and over)",D,Race and ethnicity,3,15.32795416,3.699026171,"White only, not Hispanic or Latino",28.314915918,4.808578681,1.847273003,0.545113029,10.977816193,2.263180574,"White only, not Hispanic or Latino",26.317389186,5.591556811,2.397324634,0.709719948,0.55005163,0.614649735,Little or no detectable change
|
|||
|
D-5.1,"D-5.1. Persons with diagnosed diabetes whose A1c value is greater than 9% (age-adjusted percent, ages 18 and over)",D,Disability status,2,14.260189543,3.393580205,People with activity limitations,19.045705204,2.276897723,1.335585698,0.355688526,13.992395764,2.705902277,People with activity limitations,20.515871213,2.553274644,1.466215762,0.337184965,0.130630064,0.266532013,Little or no detectable change
|
|||
|
D-5.2,"D-5.2. Persons with diagnosed diabetes whose A1c value is less than 7% (age-adjusted percent, ages 18 and over)",D,Sex,2,56.532114107,3.433521728,Female,49.573144,3.752367318,1.140377824,0.110671585,51.877117191,2.661472052,Female,49.516314361,4.277451936,1.047677273,0.105260831,-0.092700552,-0.606936382,Little or no detectable change
|
|||
|
D-5.2,"D-5.2. Persons with diagnosed diabetes whose A1c value is less than 7% (age-adjusted percent, ages 18 and over)",D,Race and ethnicity,3,52.761247014,5.285692824,"White only, not Hispanic or Latino",42.663929462,7.254517439,1.236671063,0.244064636,57.58287609,4.052496594,"White only, not Hispanic or Latino",43.059354467,5.997449104,1.337290742,0.208689041,0.100619679,0.313338883,Little or no detectable change
|
|||
|
D-5.2,"D-5.2. Persons with diagnosed diabetes whose A1c value is less than 7% (age-adjusted percent, ages 18 and over)",D,Educational attainment,4,56.821590186,5.628436753,Some college or AA degree,52.105276292,7.000341931,1.090515092,0.182026914,54.678975102,6.562659568,College graduate or above,48.265016064,5.037535948,1.132890436,0.180192948,0.0423753,0.165443766,Little or no detectable change
|
|||
|
D-5.2,"D-5.2. Persons with diagnosed diabetes whose A1c value is less than 7% (age-adjusted percent, ages 18 and over)",D,Family income,5,58.710602032,6.597255067,Above 500% of the poverty threshold,53.254909595,7.091286583,1.102444873,0.19208407,59.749666674,4.9916271,Above 500% of the poverty threshold,47.480097925,6.389559285,1.258414984,0.199328044,0.155970111,0.563440101,Little or no detectable change
|
|||
|
D-5.2,"D-5.2. Persons with diagnosed diabetes whose A1c value is less than 7% (age-adjusted percent, ages 18 and over)",D,Disability status,2,60.597382559,4.225967633,People with activity limitations,51.287744055,3.421813603,1.181517801,0.114031696,57.170788667,3.987876444,People with activity limitations,47.666185403,2.64012761,1.199399284,0.106830048,0.0178815,0.114437221,Little or no detectable change
|
|||
|
D-6,"D-6. Persons with diagnosed diabetes whose low-density lipoprotein (LDL) cholesterol is under control (age-adjusted percent, ages 18 and over)",D,Sex,2,67.222264945,3.937733867,Male,38.51728984,4.917563494,1.745249087,0.245152495,50.572598008,6.906588047,Male,45.83484542,5.965510289,1.103365737,0.208154505,-0.64188335,-1.995891623,Decrease
|
|||
|
D-6,"D-6. Persons with diagnosed diabetes whose low-density lipoprotein (LDL) cholesterol is under control (age-adjusted percent, ages 18 and over)",D,Race and ethnicity,3,57.638574674,9.146514732,"White only, not Hispanic or Latino",40.498588789,9.328355797,1.423224275,0.3980888,50.786418193,9.223533294,"White only, not Hispanic or Latino",41.411769075,7.558844813,1.226376446,0.315778262,-0.196847829,-0.387400711,Little or no detectable change
|
|||
|
D-6,"D-6. Persons with diagnosed diabetes whose low-density lipoprotein (LDL) cholesterol is under control (age-adjusted percent, ages 18 and over)",D,Educational attainment,4,63.811951949,5.562906564,Some college or AA degree,43.183059605,7.847103276,1.477707984,0.29782647,66.121978645,8.597423688,College graduate or above,41.749411512,8.093107101,1.583782292,0.369682848,0.106074308,0.223442609,Little or no detectable change
|
|||
|
D-6,"D-6. Persons with diagnosed diabetes whose low-density lipoprotein (LDL) cholesterol is under control (age-adjusted percent, ages 18 and over)",D,Family income,4,82.112912319,4.396061775,Above 500% of the poverty threshold,45.308174475,8.95632293,1.812320034,0.371157884,58.187856046,9.529195988,At 200%-399% of the poverty threshold,43.502078893,10.38062187,1.337587939,0.387116845,-0.474732095,-0.885198859,Little or no detectable change
|
|||
|
D-6,"D-6. Persons with diagnosed diabetes whose low-density lipoprotein (LDL) cholesterol is under control (age-adjusted percent, ages 18 and over)",D,Disability status,2,60.01350817,6.681325134,People with activity limitations,49.286454123,5.107893367,1.217647105,0.185206673,49.836663054,5.674598486,People without activity limitations,46.462293254,8.665823617,1.072625985,0.234392978,-0.14502112,-0.485453493,Little or no detectable change
|
|||
|
D-7,"D-7. Persons with diagnosed diabetes whose blood pressure is under control (age-adjusted percent, ages 18 and over)",D,Sex,2,53.223711758,3.82163549,Female,50.350228706,3.727878008,1.057069911,0.109024208,64.480719793,2.754660276,Female,47.93079915,3.279520817,1.345287809,0.108515836,0.288217899,1.873680546,Little or no detectable change
|
|||
|
D-7,"D-7. Persons with diagnosed diabetes whose blood pressure is under control (age-adjusted percent, ages 18 and over)",D,Race and ethnicity,3,60.13400804,4.598774596,"White only, not Hispanic or Latino",47.559565211,5.48990501,1.264393561,0.175076665,59.68600245,3.017206191,Hispanic or Latino,49.293606002,6.046356806,1.21082646,0.160638512,-0.053567,-0.225445153,Little or no detectable change
|
|||
|
D-7,"D-7. Persons with diagnosed diabetes whose blood pressure is under control (age-adjusted percent, ages 18 and over)",D,Educational attainment,4,55.399684721,8.006625123,College graduate or above,50.580460577,5.642009313,1.095278376,0.19995878,60.6381237,5.733480153,College graduate or above,53.748026484,4.846219345,1.128192562,0.147400763,0.0329142,0.132496251,Little or no detectable change
|
|||
|
D-7,"D-7. Persons with diagnosed diabetes whose blood pressure is under control (age-adjusted percent, ages 18 and over)",D,Family income,5,60.916376604,3.846528833,At 200%-399% of the poverty threshold,47.445718299,8.729546783,1.283917259,0.249752789,73.77879431,5.143883619,At 400%-499% of the poverty threshold,54.949197773,6.412621688,1.34267282,0.182524661,0.0587556,0.189937982,Little or no detectable change
|
|||
|
D-7,"D-7. Persons with diagnosed diabetes whose blood pressure is under control (age-adjusted percent, ages 18 and over)",D,Disability status,2,60.399951421,3.225108563,People with activity limitations,47.404082185,4.077079213,1.274150846,0.128987311,56.195524848,4.332278665,People with activity limitations,55.708174005,2.745392475,1.008748282,0.092299127,-0.265402564,-1.673312051,Little or no detectable change
|
|||
|
D-8,"D-8. Annual dental examinations among persons with diagnosed diabetes (age-adjusted percent, ages 2 years and over)",D,Sex,2,58.438145183,3.701087734,Male,52.861664353,3.388810697,1.105491965,0.099622242,58.598845187,2.723894784,Female,53.882323644,3.308218085,1.087533744,0.083749584,-0.017958,-0.137982734,Little or no detectable change
|
|||
|
D-8,"D-8. Annual dental examinations among persons with diagnosed diabetes (age-adjusted percent, ages 2 years and over)",D,Race and ethnicity,4,70.587997124,11.676683953,Asian only,52.732530134,6.213918656,1.338604405,0.27187103,61.933183474,5.063060359,"Black or African American only, not Hispanic or Latino",54.653220062,7.134680373,1.133202827,0.174546358,-0.205401578,-0.635761948,Little or no detectable change
|
|||
|
D-8,"D-8. Annual dental examinations among persons with diagnosed diabetes (age-adjusted percent, ages 2 years and over)",D,Educational attainment,6,81.101486269,4.715239884,Advanced degree,54.778316633,5.239600237,1.480539952,0.165723754,73.229643891,4.652545463,Advanced degree,55.65493337,4.620414153,1.315779922,0.137551994,-0.16476003,-0.765003612,Little or no detectable change
|
|||
|
D-8,"D-8. Annual dental examinations among persons with diagnosed diabetes (age-adjusted percent, ages 2 years and over)",D,Family income,5,80.15936303,6.157153379,At or above 600% of the poverty threshold,51.709535329,5.795338524,1.550185329,0.210624295,77.229858404,5.529324849,At or above 600% of the poverty threshold,53.849874298,5.493516087,1.434169706,0.178743137,-0.116015623,-0.419972548,Little or no detectable change
|
|||
|
D-8,"D-8. Annual dental examinations among persons with diagnosed diabetes (age-adjusted percent, ages 2 years and over)",D,Disability status,2,58.248415647,3.138814109,People without disabilities,40.059806935,5.320749865,1.454036355,0.208414539,62.332803307,3.18446705,People without disabilities,43.795672149,4.740311163,1.423263995,0.170347764,-0.030772,-0.114321174,Little or no detectable change
|
|||
|
D-8,"D-8. Annual dental examinations among persons with diagnosed diabetes (age-adjusted percent, ages 2 years and over)",D,Geographic location,2,56.810937089,2.795041962,Metropolitan,50.73054396,5.567205726,1.119856652,0.134679072,58.317102663,2.406114579,Metropolitan,47.043321065,4.485576703,1.239646805,0.128791635,0.119790154,0.642828884,Little or no detectable change
|
|||
|
D-9,"D-9. Annual foot examinations among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Sex,2,71.487074389,1.729805428,Male,67.942381876,1.410591672,1.052172038,0.033547,70.946881755,1.498560635,Female,68.624097555,2.096759094,1.033847938,0.0384018,-0.018324,-0.359358552,Little or no detectable change
|
|||
|
D-9,"D-9. Annual foot examinations among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Race and ethnicity,7,78.573460771,3.745006784,American Indian or Alaska Native only,67.951338123,6.347991166,1.156319551,0.12127001,75.631124916,2.439189122,"Black or African American only, not Hispanic or Latino",64.740162209,7.539218982,1.168225756,0.141164771,0.0119062,0.063976813,Little or no detectable change
|
|||
|
D-9,"D-9. Annual foot examinations among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Educational attainment,4,77.512826172,1.590074107,4-year college degree or more,68.090089846,2.533773184,1.138386311,0.048372,75.564271707,1.428895219,High school graduate,69.002514042,3.164640458,1.095094472,0.0543255,-0.043292,-0.595158082,Little or no detectable change
|
|||
|
D-9,"D-9. Annual foot examinations among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Disability status,2,72.806938643,1.86993525,People with activity limitations,68.13762976,1.404771854,1.068527609,0.0351915,68.128081103,1.840847055,People with activity limitations,66.440365878,1.743482249,1.025401956,0.0386225,-0.043126,-0.825359133,Little or no detectable change
|
|||
|
D-9,"D-9. Annual foot examinations among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Geographic location,2,71.316508721,1.859560147,Metropolitan,69.966773025,2.036411116,1.019291095,0.0398309,73.712824103,2.506024797,Metropolitan,68.506750724,3.323478417,1.075993582,0.063741437,0.0567025,0.754393921,Little or no detectable change
|
|||
|
D-10,"D-10. Annual dilated eye examinations among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Sex,2,53.742542464,2.95861362,Female,53.114457422,3.325617332,1.011825124,0.084358414,65.066642366,2.559532533,Female,59.268485144,3.043773847,1.097828672,0.071018685,0.086003549,0.779919286,Little or no detectable change
|
|||
|
D-10,"D-10. Annual dilated eye examinations among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Race and ethnicity,4,66.325373923,10.930496573,Asian only,51.569294202,4.912996433,1.286140812,0.244825772,68.554634269,4.730092947,"Black or African American only, not Hispanic or Latino",60.778727894,7.273708126,1.127937959,0.15581394,-0.158202853,-0.545145928,Little or no detectable change
|
|||
|
D-10,"D-10. Annual dilated eye examinations among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Educational attainment,6,71.323992715,4.569674972,4-year college degree,53.725572127,5.884662671,1.327561344,0.168459641,75.71763308,5.2340194,Advanced degree,62.556478013,4.895005802,1.210388364,0.126375796,-0.11717298,-0.556394907,Little or no detectable change
|
|||
|
D-10,"D-10. Annual dilated eye examinations among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Family income,5,64.496861957,6.903347937,At or above 600% of the poverty threshold,51.722551864,5.798965961,1.246977568,0.193287231,69.445978598,5.08081226,At 400%-599% of the poverty threshold,60.793522064,5.043917165,1.142325304,0.126361935,-0.104652264,-0.453183263,Little or no detectable change
|
|||
|
D-10,"D-10. Annual dilated eye examinations among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Disability status,2,58.7313717,3.023063272,People without disabilities,53.028297943,5.438012669,1.107547743,0.127082555,65.790029826,4.697685438,People with disabilities,64.32521318,3.124986817,1.022772045,0.088330332,-0.084775698,-0.54777027,Little or no detectable change
|
|||
|
D-10,"D-10. Annual dilated eye examinations among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Geographic location,2,54.11712777,4.754922019,Nonmetropolitan,53.367077554,2.449762178,1.014054549,0.100525378,64.256774602,2.204600669,Metropolitan,53.717969637,4.11487606,1.196187701,0.100400777,0.182133152,1.281939252,Little or no detectable change
|
|||
|
D-11,"D-11. A1c test, at least twice a year among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Sex,2,69.339568367,1.389200257,Female,63.119209594,2.041268908,1.098549377,0.041792,71.087751667,1.604752131,Female,70.317366163,2.0795752,1.010955836,0.0376128,-0.087593541,-1.557900847,Little or no detectable change
|
|||
|
D-11,"D-11. A1c test, at least twice a year among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Race and ethnicity,7,75.174639939,4.329090729,Asian only,59.594288375,5.004914502,1.261440349,0.128453042,75.655606198,1.072796703,"White only, not Hispanic or Latino",65.758316915,7.024882663,1.150510076,0.123985635,-0.110930273,-0.621356992,Little or no detectable change
|
|||
|
D-11,"D-11. A1c test, at least twice a year among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Educational attainment,4,75.982186472,2.065061239,4-year college degree or more,63.89471331,2.777588038,1.189177986,0.0609668,77.37155962,1.527579314,Some college or technical school,68.620339994,3.307936596,1.127530986,0.0587362,-0.061647,-0.728192839,Little or no detectable change
|
|||
|
D-11,"D-11. A1c test, at least twice a year among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Disability status,2,67.353559326,2.214227157,People with activity limitations,65.83887302,1.553911524,1.023005957,0.0414006,70.902058713,1.843575199,People with activity limitations,64.97521826,1.831717648,1.091216938,0.0418496,0.068210981,1.158717587,Little or no detectable change
|
|||
|
D-11,"D-11. A1c test, at least twice a year among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Geographic location,2,67.793246321,2.34439564,Metropolitan,63.79077161,2.43275494,1.062743789,0.0547109,76.712716638,2.662567434,Nonmetropolitan,69.280234521,3.583998321,1.107281423,0.06897977,0.0445376,0.505864804,Little or no detectable change
|
|||
|
D-12,D-12. Annual urinary microalbumin measurement among Medicare beneficiaries with diagnosed diabetes (percent),D,Sex,2,34.6299,0.13837,Male,32.7307,0.12133,1.058025035,0.00576664,49.6529,0.13121,Male,47.9372,0.12344,1.035790576,0.00382175,-0.022234,-3.213959344,Decrease
|
|||
|
D-13,"D-13. Self-monitoring of blood glucose at least once daily among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Sex,2,68.257960541,1.317213332,Female,63.64664094,1.831395464,1.072451893,0.0371565,62.049399569,1.708162817,Male,61.091199702,1.689805646,1.015684745,0.039637,-0.056767,-1.04486729,Little or no detectable change
|
|||
|
D-13,"D-13. Self-monitoring of blood glucose at least once daily among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Race and ethnicity,7,76.499285886,3.934287959,Two or more races,60.019324316,6.229595422,1.274577592,0.147641925,67.624186179,9.770674579,Native Hawaiian or Other Pacific Islander only,60.658530898,4.863229678,1.114833894,0.184213408,-0.159743699,-0.676657072,Little or no detectable change
|
|||
|
D-13,"D-13. Self-monitoring of blood glucose at least once daily among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Educational attainment,4,67.044676269,1.604264489,Some college or technical school,64.571894771,2.710793961,1.038295012,0.050172,63.951344369,1.656007798,High school graduate,59.654694514,3.18316344,1.072025343,0.063583041,0.0337303,0.41645457,Little or no detectable change
|
|||
|
D-13,"D-13. Self-monitoring of blood glucose at least once daily among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Disability status,2,70.687941227,1.815038549,People with activity limitations,62.386273205,1.460225132,1.133068824,0.0393674,64.783252662,1.885474713,People with activity limitations,57.109024602,1.824909019,1.134378552,0.0490305,0.00130973,0.0208293,Little or no detectable change
|
|||
|
D-13,"D-13. Self-monitoring of blood glucose at least once daily among adults with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Geographic location,2,67.978058406,1.777048303,Nonmetropolitan,66.243136305,2.066646064,1.026190217,0.0417684,68.394967091,2.807922622,Nonmetropolitan,57.342228524,3.370143198,1.192750419,0.085510094,0.166560202,1.75020614,Little or no detectable change
|
|||
|
D-14,"D-14. Diabetes education among persons with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Sex,2,55.686336589,1.542933053,Female,50.475979251,1.910477481,1.103224492,0.051749,53.351305527,1.65589553,Female,50.095820394,1.93550435,1.064985165,0.0527794,-0.038239,-0.517332412,Little or no detectable change
|
|||
|
D-14,"D-14. Diabetes education among persons with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Race and ethnicity,7,65.918004108,5.195542816,Two or more races,51.615185571,7.836623188,1.277104855,0.218470869,61.881676518,8.190275154,Two or more races,46.13660812,4.817280601,1.34127061,0.22611328,0.064165755,0.204079872,Little or no detectable change
|
|||
|
D-14,"D-14. Diabetes education among persons with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Educational attainment,4,63.000091609,2.164437899,4-year college degree or more,50.582179579,2.680507359,1.245499742,0.078660113,62.110462666,1.864963693,Some college or technical school,47.331918899,3.004592723,1.312232086,0.092148262,0.066732344,0.550797995,Little or no detectable change
|
|||
|
D-14,"D-14. Diabetes education among persons with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Disability status,2,54.060105744,2.124521606,People with activity limitations,52.910166724,1.554386328,1.021733801,0.0501326,56.983575616,1.657166648,People without activity limitations,50.943785654,1.896713502,1.118557934,0.0528442,0.096824133,1.3292565,Little or no detectable change
|
|||
|
D-14,"D-14. Diabetes education among persons with diagnosed diabetes (age-adjusted percent, ages 18 and over)",D,Geographic location,2,53.917978137,2.315424082,Metropolitan,53.401661414,2.209836254,1.009668552,0.0602135,56.277600369,3.083504579,Nonmetropolitan,51.066552115,3.131888452,1.102044255,0.090631761,0.092375703,0.848957352,Little or no detectable change
|
|||
|
D-15,"D-15. Persons with diabetes whose condition has been diagnosed (age-adjusted percent, ages 20 and over)",D,Sex,2,82.31913424,2.91451424,Female,64.400891802,4.324480269,1.278229725,0.097032358,77.857897699,3.798875127,Female,72.581470575,4.003355445,1.072696614,0.078994206,-0.205533112,-1.642669617,Little or no detectable change
|
|||
|
D-15,"D-15. Persons with diabetes whose condition has been diagnosed (age-adjusted percent, ages 20 and over)",D,Race and ethnicity,3,71.549858532,5.661452702,"Black or African American only, not Hispanic or Latino",65.83026519,6.873325015,1.086883948,0.142387305,81.327323717,3.877784467,"Black or African American only, not Hispanic or Latino",74.461798639,6.559832375,1.092201977,0.109408497,0.00531803,0.0296158,Little or no detectable change
|
|||
|
D-15,"D-15. Persons with diabetes whose condition has been diagnosed (age-adjusted percent, ages 20 and over)",D,Educational attainment,4,82.256521929,3.616546461,Some college or AA degree,69.180379312,8.754756287,1.189015191,0.159292077,79.815820373,3.901164111,Some college or AA degree,74.823601929,7.63866755,1.066719836,0.120738055,-0.122295355,-0.611846721,Little or no detectable change
|
|||
|
D-15,"D-15. Persons with diabetes whose condition has been diagnosed (age-adjusted percent, ages 20 and over)",D,Family income,5,85.278913049,5.502136765,At 400%-499% of the poverty threshold,71.5406281,8.172529393,1.192034726,0.15639137,91.648216569,2.231914722,Above 500% of the poverty threshold,72.165897137,8.090500389,1.269965735,0.14569594,0.077931008,0.364603457,Little or no detectable change
|
|||
|
D-15,"D-15. Persons with diabetes whose condition has been diagnosed (age-adjusted percent, ages 20 and over)",D,Disability status,2,73.248819158,3.614502479,People without activity limitations,70.912447378,4.428315327,1.032947273,0.082213068,76.654021525,6.307165483,People with activity limitations,74.05609454,3.004389003,1.035080529,0.094957038,0.00213326,0.0169843,Little or no detectable change
|
|||
|
D-16.1,"D-16.1. Persons with prediabetes who increase their physical activity levels (age-adjusted percent, ages 18 and over)",D,Sex,2,52.547006983,2.251478543,Female,39.953154278,1.682978466,1.31521548,0.079025458,60.552650643,2.492150587,Female,51.716345264,2.46086415,1.170860979,0.073662918,-0.144354501,-1.336200631,Little or no detectable change
|
|||
|
D-16.1,"D-16.1. Persons with prediabetes who increase their physical activity levels (age-adjusted percent, ages 18 and over)",D,Race and ethnicity,3,64.291851107,5.300668348,"Black or African American only, not Hispanic or Latino",53.504353132,5.293157254,1.201619071,0.154745691,59.925162672,2.948388916,"Black or African American only, not Hispanic or Latino",54.092954527,3.673656275,1.107818258,0.092905183,-0.093800813,-0.519693214,Little or no detectable change
|
|||
|
D-16.1,"D-16.1. Persons with prediabetes who increase their physical activity levels (age-adjusted percent, ages 18 and over)",D,Educational attainment,4,54.077023507,2.363506453,Some college or AA degree,43.039514806,3.879528547,1.256450584,0.125866229,60.921544988,3.085016513,Some college or AA degree,53.10943963,3.506825722,1.147094479,0.095452529,-0.109356105,-0.692272945,Little or no detectable change
|
|||
|
D-16.1,"D-16.1. Persons with prediabetes who increase their physical activity levels (age-adjusted percent, ages 18 and over)",D,Family income,5,53.562068744,3.16954919,Above 500% of the poverty threshold,40.975908079,3.882322099,1.307160018,0.146019792,60.581494461,4.779711647,Above 500% of the poverty threshold,52.053682958,4.73085194,1.163827246,0.140069356,-0.143332772,-0.708378213,Little or no detectable change
|
|||
|
D-16.1,"D-16.1. Persons with prediabetes who increase their physical activity levels (age-adjusted percent, ages 18 and over)",D,Disability status,2,46.42051814,1.287844837,People without activity limitations,36.275268685,2.968746793,1.279673999,0.110581639,58.494547274,4.08495199,People with activity limitations,55.557573978,1.968752418,1.052863599,0.082450852,-0.2268104,-1.644311809,Little or no detectable change
|
|||
|
D-16.2,"D-16.2. Persons with prediabetes who are trying to lose weight (age-adjusted percent, ages 18 and over)",D,Sex,2,58.244216281,2.763924277,Female,44.690254323,1.8051306,1.303286749,0.081216878,65.518202771,2.889062078,Female,53.969788537,2.525631563,1.213979238,0.078057928,-0.089307511,-0.792812522,Little or no detectable change
|
|||
|
V-7.2,"V-7.2. Use of assistive and adaptive devices by persons with visual impairment (age-adjusted percent, ages 18 and over)",V,Geographic location,2,11.617042108,0.84223579,Metropolitan,9.262030403,1.212744207,1.254265167,0.187724573,15.106526937,2.2052987,Nonmetropolitan,12.017703537,0.774367313,1.257022766,0.20058486,0.0027576,0.0100376,Little or no detectable change
|
|||
|
D-16.2,"D-16.2. Persons with prediabetes who are trying to lose weight (age-adjusted percent, ages 18 and over)",D,Race and ethnicity,3,68.243380052,4.5313081,"Black or African American only, not Hispanic or Latino",56.002685637,5.076951567,1.218573347,0.136932504,62.265516173,3.068132215,"Black or African American only, not Hispanic or Latino",57.047886151,4.396501666,1.091460532,0.099839263,-0.127112814,-0.750082959,Little or no detectable change
|
|||
|
D-16.2,"D-16.2. Persons with prediabetes who are trying to lose weight (age-adjusted percent, ages 18 and over)",D,Educational attainment,4,64.5495652,2.922565497,Some college or AA degree,47.68436032,4.21730267,1.353684201,0.134498863,62.709746597,3.003178889,Some college or AA degree,57.104511014,3.895301495,1.098157492,0.091527027,-0.255526709,-1.570662186,Little or no detectable change
|
|||
|
D-16.2,"D-16.2. Persons with prediabetes who are trying to lose weight (age-adjusted percent, ages 18 and over)",D,Family income,5,53.592992695,2.773952287,At 200%-399% of the poverty threshold,47.290953514,4.933130347,1.133260988,0.131968054,64.643783911,3.415089587,At 100%-199% of the poverty threshold,58.242407947,5.922371874,1.109909191,0.127183944,-0.023352,-0.127410946,Little or no detectable change
|
|||
|
D-16.2,"D-16.2. Persons with prediabetes who are trying to lose weight (age-adjusted percent, ages 18 and over)",D,Disability status,2,52.220155302,1.785264976,People without activity limitations,43.054134171,3.568334848,1.212895261,0.108741292,62.300890881,3.047504375,People with activity limitations,58.009446425,2.240335675,1.073978373,0.066934658,-0.138916888,-1.087916962,Little or no detectable change
|
|||
|
D-16.3,"D-16.3. Persons with prediabetes who reduce fat or calories in their diet (age-adjusted percent, ages 18 and over)",D,Sex,2,57.330852977,2.58743836,Female,42.871155887,1.70084334,1.337282651,0.080357737,61.496406665,2.542872125,Female,42.945007213,2.658818214,1.431980355,0.106612187,0.094697704,0.709320741,Little or no detectable change
|
|||
|
D-16.3,"D-16.3. Persons with prediabetes who reduce fat or calories in their diet (age-adjusted percent, ages 18 and over)",D,Race and ethnicity,3,60.399287418,3.623361784,Hispanic or Latino,50.356432219,6.002235858,1.1994354,0.160052821,60.293596348,3.135971936,"Black or African American only, not Hispanic or Latino",51.556817584,4.432282914,1.169459233,0.117505154,-0.029976,-0.150971071,Little or no detectable change
|
|||
|
D-16.3,"D-16.3. Persons with prediabetes who reduce fat or calories in their diet (age-adjusted percent, ages 18 and over)",D,Educational attainment,4,61.336733239,2.406086564,Some college or AA degree,48.17473878,3.894074662,1.273213613,0.114395649,58.709486907,3.782559371,Some college or AA degree,50.750881203,4.240217435,1.156817094,0.122051396,-0.11639652,-0.695814657,Little or no detectable change
|
|||
|
D-16.3,"D-16.3. Persons with prediabetes who reduce fat or calories in their diet (age-adjusted percent, ages 18 and over)",D,Family income,5,51.88659208,3.986204571,Above 500% of the poverty threshold,46.943679428,5.039736341,1.10529453,0.145914259,58.707084622,5.9234671,Above 500% of the poverty threshold,45.518392829,5.10064498,1.289744232,0.194479005,0.184449703,0.758640911,Little or no detectable change
|
|||
|
D-16.3,"D-16.3. Persons with prediabetes who reduce fat or calories in their diet (age-adjusted percent, ages 18 and over)",D,Disability status,2,50.181035581,1.682467908,People without activity limitations,43.083154299,3.331881075,1.164748413,0.098177923,54.913187581,4.481140159,People with activity limitations,51.693009747,2.605070335,1.062294261,0.101885506,-0.102454152,-0.724106235,Little or no detectable change
|
|||
|
DH-4,"DH-4. Barriers to primary care (age-adjusted percent, ages 18 and over)",DH,Sex,2,40.740992404,2.670705469,Male,53.474114782,2.240804195,1.312538346,0.102118655,34.359585867,2.207219871,Male,48.114166739,2.283868209,1.400312766,0.111848176,0.087774421,0.579546087,Little or no detectable change
|
|||
|
DH-4,"DH-4. Barriers to primary care (age-adjusted percent, ages 18 and over)",DH,Race and ethnicity,5,40.852489992,7.867749117,Two or more races,49.858640809,5.274191777,1.22045537,0.268168872,33.900375872,4.253679691,"Black or African American only, not Hispanic or Latino",43.026057945,7.245177773,1.269191177,0.266528774,0.0487358,0.128899976,Little or no detectable change
|
|||
|
DH-4,"DH-4. Barriers to primary care (age-adjusted percent, ages 18 and over)",DH,Educational attainment,6,36.258280653,7.556709923,Advanced degree,47.341680554,4.723387574,1.305679136,0.301695622,27.39753618,5.052385926,Advanced degree,43.354221522,4.476150687,1.58241315,0.33443572,0.276734014,0.614407212,Little or no detectable change
|
|||
|
DH-4,"DH-4. Barriers to primary care (age-adjusted percent, ages 18 and over)",DH,Family income,5,9.064089087,1.896332113,At or above 600% of the poverty threshold,48.854737343,4.517484312,5.389922459,1.232875309,30.799637913,5.785028308,At or above 600% of the poverty threshold,41.504535276,4.070333376,1.347565689,0.285534291,-4.04235677,-3.194255337,Decrease
|
|||
|
DH-4,"DH-4. Barriers to primary care (age-adjusted percent, ages 18 and over)",DH,Geographic location,2,46.752087798,1.979404844,Metropolitan,48.707087082,3.574637988,1.041816299,0.08827019,40.756887208,1.766804489,Metropolitan,46.081220143,3.493938264,1.130636398,0.09874851,0.088820099,0.670595486,Little or no detectable change
|
|||
|
DH-5,"DH-5. Youth with special health care needs receiving pediatric-to-adult health care transition planning (percent, ages 12-17 years)",DH,Sex,2,44.4,,Female,38.8,,1.144329897,,43.7524,,Female,37.08048,,1.179930788,,0.0356009,,Little or no detectable change
|
|||
|
DH-5,"DH-5. Youth with special health care needs receiving pediatric-to-adult health care transition planning (percent, ages 12-17 years)",DH,Race and ethnicity,3,46.5,,"White only, not Hispanic or Latino",27.5,,1.690909091,,45.65592,,"White only, not Hispanic or Latino",26.8591,,1.699830597,,0.0089215,,Little or no detectable change
|
|||
|
DH-5,"DH-5. Youth with special health care needs receiving pediatric-to-adult health care transition planning (percent, ages 12-17 years)",DH,Educational attainment,3,46.1,,More than high school,26.9,,1.713754647,,44.63749,,More than high school,27.973835,,1.595687184,,-0.118067463,,Decrease
|
|||
|
DH-5,"DH-5. Youth with special health care needs receiving pediatric-to-adult health care transition planning (percent, ages 12-17 years)",DH,Family income,4,53.7,,Above 400% of the poverty threshold,33.833333333,,1.587192118,,52.21248,,Above 400% of the poverty threshold,33.261113333,,1.569775476,,-0.017417,,Little or no detectable change
|
|||
|
DH-7,"DH-7. Inappropriate medication use among older adults with disabilities (percent, ages 65 and over)",DH,Sex,2,15.376204,2.26585,Male,19.263131,1.4699721,1.252788465,0.20789664,9.587116,1.4523501,Male,16.599255,1.3862627,1.731412763,0.299507718,0.478624298,1.312773982,Little or no detectable change
|
|||
|
DH-7,"DH-7. Inappropriate medication use among older adults with disabilities (percent, ages 65 and over)",DH,Race and ethnicity,3,16.746703,1.3338792,"White only, not Hispanic or Latino",21.467514,4.963870099,1.28189495,0.313501597,8.5641591,2.1534351,Hispanic or Latino,14.654289,2.805218284,1.711118258,0.540750863,0.429223308,0.68669599,Little or no detectable change
|
|||
|
DH-7,"DH-7. Inappropriate medication use among older adults with disabilities (percent, ages 65 and over)",DH,Educational attainment,5,14.271726,4.078401,4-year college degree,17.15872425,3.551795235,1.202287954,0.424240421,9.0545911,2.2224962,4-year college degree,15.0995465,2.838452386,1.667612191,0.515574633,0.465324237,0.696926592,Little or no detectable change
|
|||
|
DH-7,"DH-7. Inappropriate medication use among older adults with disabilities (percent, ages 65 and over)",DH,Family income,5,8.8749604,2.3865822,At or above 600% of the poverty threshold,19.6447385,3.217837939,2.213501539,0.696970198,7.2477935,1.555163,At or above 600% of the poverty threshold,15.466923,2.590508741,2.134018167,0.580878092,-0.079483372,-0.087604634,Little or no detectable change
|
|||
|
DH-7,"DH-7. Inappropriate medication use among older adults with disabilities (percent, ages 65 and over)",DH,Geographic location,2,16.512745,1.2060741,Metropolitan,24.436948,2.7700886,1.479884053,0.199561719,13.22698,0.986964,Metropolitan,16.772517,3.1499187,1.268053403,0.25625193,-0.21183065,-0.652203754,Little or no detectable change
|
|||
|
DH-15,"DH-15. Unemployment rate for persons with disabilities (percent, ages 16-64)",DH,Sex,2,14.70064776,0.522382807,Female,16.428573551,0.536358044,1.117540793,0.0539275,8.668842937,0.420157079,Female,8.732055359,0.41299772,1.00729191,0.068214408,-0.110248883,-1.267866512,Little or no detectable change
|
|||
|
DH-15,"DH-15. Unemployment rate for persons with disabilities (percent, ages 16-64)",DH,Race and ethnicity,5,12.684366113,2.590573102,Asian only,20.200557272,2.715940479,1.59255552,0.389404476,7.741255853,0.35164833,"White, not Hispanic or Latino",10.62487413,2.072572909,1.372500061,0.274894236,-0.220055459,-0.461663368,Little or no detectable change
|
|||
|
DH-15,"DH-15. Unemployment rate for persons with disabilities (percent, ages 16-64)",DH,Educational attainment,6,5.793109282,1.004312379,Advanced degree,14.794043736,1.179847844,2.553731168,0.487322122,4.403477402,0.785238896,Advanced degree,8.215247076,0.95517828,1.865627168,0.397152413,-0.688104,-1.094557375,Little or no detectable change
|
|||
|
DH-15,"DH-15. Unemployment rate for persons with disabilities (percent, ages 16-64)",DH,Geographic location,2,14.813697827,0.863819906,Nonmetropolitan,15.851193077,0.652977962,1.07003621,0.076395515,8.235200198,0.733581099,Nonmetropolitan,8.788714937,0.504969262,1.067213271,0.113125986,-0.0028229,-0.02068,Little or no detectable change
|
|||
|
DH-16,"DH-16. Employment rate for persons with disabilities (percent, ages 16-64)",DH,Sex,2,31.717595794,0.622419452,Male,27.739465672,0.564974936,1.143410481,0.0323388,32.676100927,0.615907419,Male,28.267947825,0.561139926,1.155941745,0.0316427,0.0125313,0.276968127,Little or no detectable change
|
|||
|
DH-16,"DH-16. Employment rate for persons with disabilities (percent, ages 16-64)",DH,Race and ethnicity,5,32.709629198,0.53772815,"White, not Hispanic or Latino",24.550378813,2.698361311,1.33234723,0.14806883,33.418280086,2.496429648,Asian only,27.561965835,1.944794192,1.212478104,0.124592328,-0.119869125,-0.619434213,Little or no detectable change
|
|||
|
DH-16,"DH-16. Employment rate for persons with disabilities (percent, ages 16-64)",DH,Educational attainment,6,54.969488579,2.091627268,Advanced degree,32.035825985,1.226918891,1.715875489,0.092635319,56.68390472,1.872479423,Advanced degree,31.508588985,1.160147098,1.798998513,0.088990259,0.083123024,0.647100712,Little or no detectable change
|
|||
|
DH-16,"DH-16. Employment rate for persons with disabilities (percent, ages 16-64)",DH,Geographic location,2,30.319933282,0.493260091,Metropolitan,27.484930919,0.616667308,1.103147516,0.0305726,30.982318032,0.480705387,Metropolitan,27.878690415,0.659711117,1.111326162,0.0314468,0.0081786,0.186477376,Little or no detectable change
|
|||
|
DH-17,"DH-17. Adults with disabilities receiving sufficient social and emotional support (age-adjusted percent, ages 18 and over)",DH,Sex,2,69.797,0.661,Male,69.155,0.515,1.009283494,0.0121595,70.078396922,0.498760073,Female,69.787978234,0.653917638,1.004161443,0.0118155,-0.0051221,-0.302103234,Little or no detectable change
|
|||
|
DH-17,"DH-17. Adults with disabilities receiving sufficient social and emotional support (age-adjusted percent, ages 18 and over)",DH,Race and ethnicity,7,72.978,0.442,"White only, not Hispanic or Latino",61.2005,3.792646016,1.192441238,0.074248662,73.250919678,0.444401051,"White only, not Hispanic or Latino",63.203481417,3.715590956,1.158969697,0.068495079,-0.033472,-0.331345544,Little or no detectable change
|
|||
|
DH-17,"DH-17. Adults with disabilities receiving sufficient social and emotional support (age-adjusted percent, ages 18 and over)",DH,Educational attainment,4,79.503,0.576,4-year college degree or more,64.231333333,1.12355574,1.237760387,0.023435,79.946137604,0.574959066,4-year college degree or more,64.305228463,1.023118247,1.243229198,0.0217071,0.00546881,0.171201834,Little or no detectable change
|
|||
|
DH-17,"DH-17. Adults with disabilities receiving sufficient social and emotional support (age-adjusted percent, ages 18 and over)",DH,Geographic location,2,69.651,0.714,Nonmetropolitan,69.433,0.49,1.003139717,0.0124845,70.239769464,0.472094226,Metropolitan,68.680085253,0.786108042,1.02270941,0.0135749,0.0195697,1.061097714,Little or no detectable change
|
|||
|
DH-18,"DH-18. Adults with disabilities with serious psychological distress (age-adjusted percent, ages 18 and over)",DH,Sex,2,11.894925143,1.495576668,Male,16.709674575,1.632267211,1.404773412,0.223666995,9.86891618,1.158320892,Male,14.454575849,1.436077303,1.464656867,0.225226396,0.0598835,0.188658342,Little or no detectable change
|
|||
|
DH-18,"DH-18. Adults with disabilities with serious psychological distress (age-adjusted percent, ages 18 and over)",DH,Race and ethnicity,3,12.204134973,1.964964985,"Black or African American only, not Hispanic or Latino",15.364142422,3.120192006,1.258929245,0.326269711,7.47418311,2.045881976,"Black or African American only, not Hispanic or Latino",13.547121076,2.742731185,1.812521968,0.617098336,0.553592723,0.793065351,Little or no detectable change
|
|||
|
DH-18,"DH-18. Adults with disabilities with serious psychological distress (age-adjusted percent, ages 18 and over)",DH,Geographic location,2,13.775669674,2.436340468,Nonmetropolitan,14.54485169,1.250775166,1.05583627,0.207637285,11.570795869,0.998672789,Metropolitan,15.823843936,2.506529085,1.367567462,0.246695608,0.311731191,0.966767703,Little or no detectable change
|
|||
|
DH-19,"DH-19. Persons with disabilities with nonfatal unintentional injuries requiring medical care (age-adjusted percent, ages 5 years and over)",DH,Sex,2,5.511874788,0.683795573,Female,5.556297902,0.69322408,1.008059529,0.17736266,6.226010609,0.657331732,Male,8.188305976,1.025390478,1.315177003,0.215417738,0.307117475,1.100628798,Little or no detectable change
|
|||
|
DH-19,"DH-19. Persons with disabilities with nonfatal unintentional injuries requiring medical care (age-adjusted percent, ages 5 years and over)",DH,Race and ethnicity,3,3.651295316,0.736671472,Hispanic or Latino,5.649093526,1.348243828,1.547147803,0.483509788,4.219055233,1.08521588,Hispanic or Latino,8.320074375,2.400014235,1.972023099,0.762157022,0.424875296,0.470730068,Little or no detectable change
|
|||
|
DH-19,"DH-19. Persons with disabilities with nonfatal unintentional injuries requiring medical care (age-adjusted percent, ages 5 years and over)",DH,Family income,5,6.65316106,0.875374725,Below the poverty threshold (<100%),8.36340997,2.266392768,1.257058095,0.378678128,4.491454474,1.149046835,At or above 600% of the poverty threshold,7.184662588,1.497510328,1.599629391,0.527859459,0.342571296,0.527324443,Little or no detectable change
|
|||
|
DH-19,"DH-19. Persons with disabilities with nonfatal unintentional injuries requiring medical care (age-adjusted percent, ages 5 years and over)",DH,Geographic location,2,5.192421049,1.173232395,Nonmetropolitan,5.779381574,0.559776505,1.113041781,0.273625431,6.576562648,1.072268995,Nonmetropolitan,7.344481501,0.650169535,1.116765991,0.20718944,0.00372421,0.0108509,Little or no detectable change
|
|||
|
DIA-1,"DIA-1. Diagnosis awareness among persons with Alzheimer's disease and other dementias or their caregiver (percent, ages 65 and over)",DIA,Sex,2,62.1523,1.7829,Female,61.4878,2.5455,1.010807022,0.0509101,60.9743,2.4382,Female,56.9695,4.2349,1.070297264,0.09034265,0.0594902,0.573677801,Little or no detectable change
|
|||
|
DIA-1,"DIA-1. Diagnosis awareness among persons with Alzheimer's disease and other dementias or their caregiver (percent, ages 65 and over)",DIA,Race and ethnicity,3,63.6112,1.7418,"White, not Hispanic or Latino",59.428,6.936775998,1.070391061,0.128333887,63.816,5.9417,Hispanic or Latino,56.49375,5.488290503,1.129611683,0.152001928,0.0592206,0.297691912,Little or no detectable change
|
|||
|
DIA-1,"DIA-1. Diagnosis awareness among persons with Alzheimer's disease and other dementias or their caregiver (percent, ages 65 and over)",DIA,Family income,4,64.2539,2.8834,At 200%-399% of the poverty threshold,56.1961,4.929804885,1.143387175,0.112665454,63.7472,4.6141,Below the poverty threshold (<100%),58.9177,6.461972438,1.081970274,0.142180499,-0.061417,-0.338557066,Little or no detectable change
|
|||
|
DIA-1,"DIA-1. Diagnosis awareness among persons with Alzheimer's disease and other dementias or their caregiver (percent, ages 65 and over)",DIA,Geographic location,2,62.1905,1.6353,Metropolitan,61.2726,4.9872,1.014980595,0.086817055,60.9977,2.4464,Metropolitan,55.8078,2.8038,1.092995961,0.07026368,0.078015366,0.698512283,Little or no detectable change
|
|||
|
DIA-2,"DIA-2. Preventable hospitalizations among persons with Alzheimer's disease and other dementias (percent, ages 65 and over)",DIA,Sex,2,24.6662,1.0732,Female,26.3988,2.121,1.070241869,0.097786821,21.0171,2.1427,Male,24.7175,1.952,1.176066156,0.151664687,0.105824286,0.586426442,Little or no detectable change
|
|||
|
DIA-2,"DIA-2. Preventable hospitalizations among persons with Alzheimer's disease and other dementias (percent, ages 65 and over)",DIA,Race and ethnicity,3,23.7455,1.0937,"White, not Hispanic or Latino",31.50815,5.981502866,1.326910362,0.259208562,21.8989,1.6194,"White, not Hispanic or Latino",26.4569,5.187403587,1.208138308,0.253167324,-0.118772054,-0.327801092,Little or no detectable change
|
|||
|
DIA-2,"DIA-2. Preventable hospitalizations among persons with Alzheimer's disease and other dementias (percent, ages 65 and over)",DIA,Family income,4,18.8217,2.1068,Above 400% of the poverty threshold,26.935633333,3.297238,1.431094605,0.237380583,22.1006,3.4597,Above 400% of the poverty threshold,24.813,3.671378889,1.1227297,0.241839521,-0.308364906,-0.909967993,Little or no detectable change
|
|||
|
DIA-2,"DIA-2. Preventable hospitalizations among persons with Alzheimer's disease and other dementias (percent, ages 65 and over)",DIA,Disability status,2,16.6939,2.2817,People without activity limitations,28.3065,1.67,1.695619358,0.252423625,22.5055,1.9587,People without activity limitations,25.8917,2.3087,1.150460998,0.14334871,-0.54515836,-1.877997878,Little or no detectable change
|
|||
|
DIA-2,"DIA-2. Preventable hospitalizations among persons with Alzheimer's disease and other dementias (percent, ages 65 and over)",DIA,Geographic location,2,24.0626,1.4981,Metropolitan,27.6667,1.3643,1.149780157,0.091317346,21.5783,2.2455,Nonmetropolitan,25.3528,2.1749,1.174921101,0.158454204,0.0251409,0.137469278,Little or no detectable change
|
|||
|
ECBP-6,"ECBP-6. Persons completing high school (percent, ages 18-24)",ECBP,Sex,2,90.6,0.37,Female,87.4,0.42,1.036613272,0.00653731,94.923064394,0.394625531,Female,92.344592249,0.459880411,1.027922286,0.00666837,-0.008691,-0.930682977,Little or no detectable change
|
|||
|
ECBP-6,"ECBP-6. Persons completing high school (percent, ages 18-24)",ECBP,Race and ethnicity,4,93.5,0.28,"White only, not Hispanic or Latino",84.866666667,1.25574679,1.101728201,0.0166325,96.692225392,0.850043117,"Asian or Pacific Islander only, not Hispanic or Latino",92.863241846,0.885927351,1.041232499,0.0135079,-0.060496,-2.823379592,Decrease
|
|||
|
EH-8.1,"EH-8.1. Concentration of blood lead among children in the 97.5 percentile (µg/dL, ages 1-5 years)",EH,Sex,2,5.320000001,0.59358214,Female,5.780000001,0.512493877,1.086466165,0.15483918,3.290000001,0.873310604,Male,3.310000001,0.864994205,1.006079027,0.374759485,-0.080387138,-0.198248291,Little or no detectable change
|
|||
|
EH-8.1,"EH-8.1. Concentration of blood lead among children in the 97.5 percentile (µg/dL, ages 1-5 years)",EH,Race and ethnicity,3,3.440000007,0.837746794,Hispanic or Latino,5.020000002,1.153818047,1.459302323,0.488671827,2.660000007,0.618720461,Hispanic or Latino,3.765000001,1.847351217,1.41541353,0.768577404,-0.043889,-0.048188,Little or no detectable change
|
|||
|
EH-8.1,"EH-8.1. Concentration of blood lead among children in the 97.5 percentile (µg/dL, ages 1-5 years)",EH,Family income,3,3.630000001,1.628393054,Above 350% of the poverty threshold,6.250000002,1.052181666,1.721763085,0.824969271,1.830000003,1.287581114,Above 350% of the poverty threshold,3.525000001,1.653450865,1.926229506,1.628853167,0.20446642,0.111984091,Little or no detectable change
|
|||
|
EH-8.2,"EH-8.2. Mean blood lead levels in children (geometric mean, ages 1-5 years)",EH,Sex,2,1.757056003,0.083675606,Male,1.773686763,0.109756394,1.009465128,0.078822964,0.746767583,0.0470062,Female,0.768099282,0.0443991,1.028565379,0.087901801,0.0191003,0.161774854,Little or no detectable change
|
|||
|
EH-8.2,"EH-8.2. Mean blood lead levels in children (geometric mean, ages 1-5 years)",EH,Race and ethnicity,3,1.420802425,0.102737174,"White only, not Hispanic or Latino",1.698442212,0.14229145,1.195410553,0.132293225,0.686988837,0.0310338,Hispanic or Latino,0.841369565,0.098300064,1.224720869,0.153411622,0.0293103,0.144688727,Little or no detectable change
|
|||
|
EH-8.2,"EH-8.2. Mean blood lead levels in children (geometric mean, ages 1-5 years)",EH,Family income,3,1.329506203,0.069715787,Above 350% of the poverty threshold,1.899271437,0.160691318,1.428554025,0.142196679,0.584683175,0.0347346,Above 350% of the poverty threshold,0.808840394,0.086204408,1.383382367,0.168795779,-0.045172,-0.204667296,Little or no detectable change
|
|||
|
EH-20.1,"EH-20.1. Exposure to arsenic (µg/g of creatinine, ages 6 years and over)",EH,Sex,2,19.4,,Male,20.6,,1.06185567,,13.7,,Male,17.3,,1.262773723,,0.200918053,,Increase
|
|||
|
EH-20.1,"EH-20.1. Exposure to arsenic (µg/g of creatinine, ages 6 years and over)",EH,Race and ethnicity,4,16.2,,"Black or African American only, not Hispanic or Latino",31.533333333,,1.946502058,,12.5,,"White only, not Hispanic or Latino",21.666666667,,1.733333333,,-0.213168724,,Decrease
|
|||
|
EH-20.2,"EH-20.2. Exposure to cadmium (µg/L, ages 1 year and over)",EH,Sex,2,1.6,,Female,1.6,,1,,1.17,,Male,1.25,,1.068376068,,0.068376068,,Little or no detectable change
|
|||
|
EH-20.2,"EH-20.2. Exposure to cadmium (µg/L, ages 1 year and over)",EH,Race and ethnicity,4,0.9,,Hispanic or Latino,1.516666667,,1.685185185,,0.84,,Hispanic or Latino,1.32,,1.571428571,,-0.113756614,,Decrease
|
|||
|
EH-20.3,"EH-20.3. Exposure to lead (µg/dL, ages 1 year and over)",EH,Sex,2,3.5,,Female,4.8,,1.371428571,,2.39,,Female,2.93,,1.225941423,,-0.145487149,,Decrease
|
|||
|
EH-20.3,"EH-20.3. Exposure to lead (µg/dL, ages 1 year and over)",EH,Race and ethnicity,4,2.84,,Hispanic or Latino,3.38,,1.190140845,,2.39,,Hispanic or Latino,2.966666667,,1.241283124,,0.0511423,,Little or no detectable change
|
|||
|
EH-20.9,"EH-20.9. Exposure to para-nitrophenol (methyl parathion and parathions) (µg/g of creatinine, ages 6 years and over)",EH,Sex,2,2.98,,Male,3.04,,1.020134228,,2.36,,Male,2.72,,1.152542373,,0.132408145,,Increase
|
|||
|
EH-20.10,"EH-20.10. Exposure to 3,4,6-trichloro-2-pyridinol (chlorpyrifos) (µg/g of creatinine, ages 6 years and over)",EH,Sex,2,8.98,,Female,11.3,,1.258351893,,3.41,,Male,3.68,,1.079178886,,-0.179173007,,Decrease
|
|||
|
EH-20.11,"EH-20.11. Exposure to 3-phenoxybenzoic acid (µg/g of creatinine, ages 6 years and over)",EH,Sex,2,2.95,,Male,4.43,,1.501694915,,4.72,,Male,5.86,,1.241525424,,-0.260169492,,Decrease
|
|||
|
EH-20.15,"EH-20.15. Exposure to bisphenol A (µg/g of creatinine, ages 6 years and over)",EH,Sex,2,9.94,,Male,12.4,,1.247484909,,4.91,,Male,5.18,,1.054989817,,-0.192495093,,Decrease
|
|||
|
EH-20.15,"EH-20.15. Exposure to bisphenol A (µg/g of creatinine, ages 6 years and over)",EH,Race and ethnicity,4,7.23,,"Black or African American only, not Hispanic or Latino",8.036666667,,1.111572153,,4.44,,"Asian only, not Hispanic or Latino",5.046666667,,1.136636637,,0.0250645,,Little or no detectable change
|
|||
|
EH-20.16,"EH-20.16. Exposure to perchlorate (µg/g of creatinine, ages 6 years and over)",EH,Sex,2,12.4,,Female,12.5,,1.008064516,,10.6,,Male,11.4,,1.075471698,,0.067407182,,Little or no detectable change
|
|||
|
EH-20.16,"EH-20.16. Exposure to perchlorate (µg/g of creatinine, ages 6 years and over)",EH,Race and ethnicity,4,9.35,,"Black or African American only, not Hispanic or Latino",17.066666667,,1.825311943,,9.21,,"Black or African American only, not Hispanic or Latino",13.533333333,,1.4694173,,-0.355894643,,Decrease
|
|||
|
EH-20.17,"EH-20.17. Exposure to mono-n-butyl phthalate (µg/g of creatinine, ages 6 years and over)",EH,Sex,2,59.4,,Male,117,,1.96969697,,31.1,,Male,39.3,,1.263665595,,-0.706031375,,Decrease
|
|||
|
EH-20.17,"EH-20.17. Exposure to mono-n-butyl phthalate (µg/g of creatinine, ages 6 years and over)",EH,Race and ethnicity,4,34.6,,"White only, not Hispanic or Latino",48.433333333,,1.399807322,,32.9,,"White only, not Hispanic or Latino",46.2,,1.404255319,,0.004448,,Little or no detectable change
|
|||
|
EMC-2.2,"EMC-2.2. Children who talk and share ideas with parents (percent, ages 6-17 years)",EMC,Sex,2,70.53248,0.68185,Female,68.98329,0.64148,1.022457468,0.0137149,71.60512,0.58027,Female,69.15741,0.58197,1.035393315,0.0120962,0.0129358,0.707376746,Little or no detectable change
|
|||
|
EMC-2.2,"EMC-2.2. Children who talk and share ideas with parents (percent, ages 6-17 years)",EMC,Race and ethnicity,4,72.09631,2.35113,"Two or more races, not Hispanic or Latino",69.654263333,1.364718353,1.035059543,0.0393779,71.93252,1.05471,"Black or African American only, not Hispanic or Latino",69.523123333,1.545111887,1.034656048,0.0275482,-0.0004035,-0.008396,Little or no detectable change
|
|||
|
EMC-2.2,"EMC-2.2. Children who talk and share ideas with parents (percent, ages 6-17 years)",EMC,Family income,4,72.13496,0.73568,Above 400% of the poverty threshold,68.53758,1.345076335,1.052487701,0.023278,72.03502,0.65806,Above 400% of the poverty threshold,69.5666,1.149741244,1.035482832,0.019554,-0.017005,-0.559351356,Little or no detectable change
|
|||
|
EMC-2.3,"EMC-2.3. Children whose family reads to them every day (percent, ages 0-5 years)",EMC,Sex,2,48.82715,1.10497,Female,46.86887,1.03161,1.041782104,0.0328879,48.08206,0.90448,Female,47.6764,0.89618,1.008508612,0.0268194,-0.033273,-0.784069907,Little or no detectable change
|
|||
|
EMC-2.3,"EMC-2.3. Children whose family reads to them every day (percent, ages 0-5 years)",EMC,Race and ethnicity,4,57.36356,0.86421,"White only, not Hispanic or Latino",40.26806,3.197006542,1.424542429,0.115117087,59.21733,0.75463,"White only, not Hispanic or Latino",42.588173333,2.250078958,1.390464191,0.075569711,-0.034078,-0.24747239,Little or no detectable change
|
|||
|
EMC-2.3,"EMC-2.3. Children whose family reads to them every day (percent, ages 0-5 years)",EMC,Family income,4,59.78544,1.38156,Above 400% of the poverty threshold,42.234096667,1.912599519,1.415572836,0.071969056,59.6488,1.28564,Above 400% of the poverty threshold,43.944386667,1.633410232,1.357370179,0.058322,-0.058203,-0.628309658,Little or no detectable change
|
|||
|
EMC-2.4,"EMC-2.4. Children whose doctor asked their parents about concerns regarding the child's development (percent, ages 0-5 years)",EMC,Sex,2,49.46754,1.07255,Male,46.4505,1.11277,1.064951723,0.0344096,52.16194,0.93089,Male,51.34596,0.937,1.015891805,0.0259302,-0.04906,-1.138654063,Little or no detectable change
|
|||
|
EMC-2.4,"EMC-2.4. Children whose doctor asked their parents about concerns regarding the child's development (percent, ages 0-5 years)",EMC,Race and ethnicity,4,54.70034,0.87167,"White only, not Hispanic or Latino",43.517343333,3.370662862,1.256977927,0.099399134,58.68947,0.77301,"White only, not Hispanic or Latino",48.823553333,2.365561451,1.202072893,0.0603556,-0.054905,-0.472145545,Little or no detectable change
|
|||
|
EMC-2.4,"EMC-2.4. Children whose doctor asked their parents about concerns regarding the child's development (percent, ages 0-5 years)",EMC,Family income,4,55.22815,1.37298,Above 400% of the poverty threshold,44.430193333,2.143248066,1.243031953,0.0674565,57.78795,1.20985,Above 400% of the poverty threshold,49.518743333,1.722688052,1.166991448,0.0473828,-0.076040505,-0.922431286,Little or no detectable change
|
|||
|
ENT-VSL-2,"ENT—VSL-2. Otitis media in children and adolescents (per 1,000 population, under age 18 years)",ENT-VSL,Sex,2,230.767,28.391,Female,261.761,24.375,1.134308632,0.175019458,226.22,24.215,Female,284.556,28.108,1.257872867,0.183214408,0.123564235,0.487671684,Little or no detectable change
|
|||
|
ENT-VSL-2,"ENT—VSL-2. Otitis media in children and adolescents (per 1,000 population, under age 18 years)",ENT-VSL,Race and ethnicity,3,231.015,59.9,"Black or African American only, not Hispanic or Latino",258.5525,54.880671907,1.119202216,0.375035303,188.085,30.31,Hispanic or Latino,267.443,56.738331955,1.421926257,0.3788242,0.30272404,0.567892339,Little or no detectable change
|
|||
|
ENT-VSL-2,"ENT—VSL-2. Otitis media in children and adolescents (per 1,000 population, under age 18 years)",ENT-VSL,Geographic location,2,239.337,48.487,Nonmetropolitan,247.949,24.824,1.035982736,0.234108525,253.881,24.982,Metropolitan,268.338,76.332,1.056944001,0.31814076,0.0209613,0.0530673,Little or no detectable change
|
|||
|
ENT-VSL-3.3,"ENT—VSL-3.3. Use of hearing aids by adults with hearing loss (per 1,000 population, ages 70 and over)",ENT-VSL,Sex,2,341.976,46.017,Male,236.031,31.131,1.448860531,0.272997383,357.624848187,51.249073181,Male,290.979098719,47.296766066,1.229039645,0.266325923,-0.219820886,-0.576370227,Little or no detectable change
|
|||
|
ENT-VSL-3.3,"ENT—VSL-3.3. Use of hearing aids by adults with hearing loss (per 1,000 population, ages 70 and over)",ENT-VSL,Race and ethnicity,3,304.037894031,56.273014757,"White only, not Hispanic or Latino",182.787774025,57.082002551,1.663338238,0.603814676,334.746894045,55.013215864,"White only, not Hispanic or Latino",201.405673403,86.461416362,1.662052952,0.763999168,-0.0012853,-0.0013199,Little or no detectable change
|
|||
|
ENT-VSL-3.3,"ENT—VSL-3.3. Use of hearing aids by adults with hearing loss (per 1,000 population, ages 70 and over)",ENT-VSL,Disability status,2,355.149679151,48.764886282,People with activity limitations,203.761355155,38.076501944,1.742968773,0.404177801,488.582684569,61.46001445,People with activity limitations,235.977248207,42.648790369,2.070465218,0.455916382,0.327496445,0.537515798,Little or no detectable change
|
|||
|
ENT-VSL-3.4,"ENT—VSL-3.4. Use of assistive listening devices by adults with hearing loss (per 1,000 population, ages 70 and over)",ENT-VSL,Sex,2,100.206,1.7688,Male,98.894,1.5574,1.01326673,0.0239694,92.593029,20.16317,Male,70.34675,19.851483,1.316237481,0.469167707,0.302970751,0.64492105,Little or no detectable change
|
|||
|
ENT-VSL-4.2,"ENT—VSL-4.2. Adults having a hearing examination in past 5 years (percent, ages 70 and over)",ENT-VSL,Sex,2,42.410853669,1.194984454,Male,39.285532582,2.232004158,1.079553996,0.068463158,42.038136847,1.509036733,Male,35.511709097,1.276354767,1.183782418,0.0601333,0.104228422,1.143833739,Little or no detectable change
|
|||
|
ENT-VSL-4.2,"ENT—VSL-4.2. Adults having a hearing examination in past 5 years (percent, ages 70 and over)",ENT-VSL,Educational attainment,4,46.257749891,2.910233083,College graduate or above,40.010148772,3.02879207,1.15615041,0.113801137,42.907855331,2.39804577,Some college or AA degree,36.956358892,2.484054652,1.161041201,0.101493032,0.00489079,0.032074,Little or no detectable change
|
|||
|
ENT-VSL-4.2,"ENT—VSL-4.2. Adults having a hearing examination in past 5 years (percent, ages 70 and over)",ENT-VSL,Family income,5,43.067460547,2.127768113,At 200%-399% of the poverty threshold,38.699975973,4.33179618,1.112854969,0.136159292,39.105874231,3.243577235,Above 500% of the poverty threshold,36.523517622,3.216225398,1.07070394,0.129524259,-0.042151,-0.224296822,Little or no detectable change
|
|||
|
ENT-VSL-4.2,"ENT—VSL-4.2. Adults having a hearing examination in past 5 years (percent, ages 70 and over)",ENT-VSL,Disability status,2,43.642156855,2.323639381,People with activity limitations,38.118818372,1.804350291,1.144897946,0.081564714,39.793034553,1.381251681,People with activity limitations,37.200027487,1.37434123,1.06970444,0.0542262,-0.075193506,-0.767709014,Little or no detectable change
|
|||
|
ENT-VSL-4.3,"ENT—VSL-4.3. Adolescents having a hearing examination in past 5 years (percent, ages 12-19)",ENT-VSL,Sex,2,80.7814,2.737,Male,77.7851,2.995,1.038520231,0.0532639,79.89,2.31,Female,77.97,2.75,1.024624856,0.0467305,-0.013895,-0.196103305,Little or no detectable change
|
|||
|
ENT-VSL-4.3,"ENT—VSL-4.3. Adolescents having a hearing examination in past 5 years (percent, ages 12-19)",ENT-VSL,Race and ethnicity,3,87.54,3.73,"Black or African American only, not Hispanic or Latino",76.41,4.93625364,1.145661563,0.088661018,86.49,2.95,"Black or African American only, not Hispanic or Latino",77.92,4.445694546,1.1099846,0.073783361,-0.035677,-0.309303154,Little or no detectable change
|
|||
|
ENT-VSL-4.3,"ENT—VSL-4.3. Adolescents having a hearing examination in past 5 years (percent, ages 12-19)",ENT-VSL,Family income,5,83.2814,4.655,At 400%-499% of the poverty threshold,78.45175,4.445756066,1.061562043,0.084496406,81.66,5.28,Above 500% of the poverty threshold,79.1675,5.448320842,1.031483879,0.097402432,-0.030078,-0.23326307,Little or no detectable change
|
|||
|
ENT-VSL-5,"ENT—VSL-5. Persons referred for hearing evaluation and treatment by primary care providers (age adjusted, per 1,000 population, ages 18 years and over)",ENT-VSL,Sex,2,286.361590496,1.080517761,Male,281.262253088,1.025898064,1.018130188,0.00534316,361.546146542,12.092664639,Female,351.475355452,11.515668103,1.028652908,0.0481622,0.0105227,0.217152761,Little or no detectable change
|
|||
|
ENT-VSL-5,"ENT—VSL-5. Persons referred for hearing evaluation and treatment by primary care providers (age adjusted, per 1,000 population, ages 18 years and over)",ENT-VSL,Race and ethnicity,6,319.013504968,1.031343745,"White only, not Hispanic or Latino",225.49067985,4.106526936,1.414752509,0.0261676,392.578214306,53.88092602,Two or more races,328.853603422,42.277228669,1.193778053,0.224496251,-0.220974456,-0.977693113,Little or no detectable change
|
|||
|
ENT-VSL-5,"ENT—VSL-5. Persons referred for hearing evaluation and treatment by primary care providers (age adjusted, per 1,000 population, ages 18 years and over)",ENT-VSL,Educational attainment,6,355.366489115,1.955278605,4-year college degree,301.300604276,2.503142401,1.179441674,0.0117527,493.565318125,26.707346805,Advanced degree,375.313853875,22.728732215,1.315073539,0.106800106,0.135631865,1.262339831,Little or no detectable change
|
|||
|
ENT-VSL-5,"ENT—VSL-5. Persons referred for hearing evaluation and treatment by primary care providers (age adjusted, per 1,000 population, ages 18 years and over)",ENT-VSL,Family income,5,330.796053784,2.089000438,At or above 600% of the poverty threshold,273.657357611,2.186432728,1.208796492,0.0123105,408.736328801,21.571658101,At or above 600% of the poverty threshold,339.520587709,21.568703526,1.203863164,0.099426468,-0.0049333,-0.049242,Little or no detectable change
|
|||
|
ENT-VSL-5,"ENT—VSL-5. Persons referred for hearing evaluation and treatment by primary care providers (age adjusted, per 1,000 population, ages 18 years and over)",ENT-VSL,Geographic location,2,290.125903945,1.810213714,Nonmetropolitan,281.244166381,0.848251976,1.031580166,0.007149,356.175907845,9.183215341,Metropolitan,351.630384864,22.374420945,1.012926991,0.069543138,-0.018653,-0.266818395,Little or no detectable change
|
|||
|
ENT-VSL-6.2,"ENT—VSL-6.2. Adolescent use of ear protection devices when exposed to loud noises (per 1,000 population, ages 12-19)",ENT-VSL,Sex,2,476.85474639,3.283,Male,304.27496733,4.101,1.567183625,0.0237186,386.099,4.70062,Male,279.276,5.50493,1.382499749,0.0320299,-0.184683876,-4.633796088,Decrease
|
|||
|
ENT-VSL-6.2,"ENT—VSL-6.2. Adolescent use of ear protection devices when exposed to loud noises (per 1,000 population, ages 12-19)",ENT-VSL,Family income,5,460.45752068,6.436,Above 500% of the poverty threshold,389.26542728,7.7753198,1.182888303,0.0288378,437.536,5.216,At 200%-399% of the poverty threshold,310.8935,7.666874635,1.407350105,0.0385488,0.224461802,4.662515438,Increase
|
|||
|
ENT-VSL-8,"ENT—VSL-8. Adults with noise-induced hearing loss (both ears) (age adjusted, per 1,000 population, ages 20-69)",ENT-VSL,Sex,2,72.465435504,11.126009879,Female,176.169531075,17.781885671,2.43108359,0.446692935,66.265153879,13.355200213,Female,141.166967416,11.187760018,2.130334862,0.461353921,-0.300748728,-0.468332115,Little or no detectable change
|
|||
|
ENT-VSL-8,"ENT—VSL-8. Adults with noise-induced hearing loss (both ears) (age adjusted, per 1,000 population, ages 20-69)",ENT-VSL,Educational attainment,4,87.270532549,16.57022024,College graduate or above,137.008257443,27.359468105,1.569925763,0.432594377,96.106489435,14.538247965,Some college or AA degree,118.200775782,22.622394744,1.229893803,0.300036791,-0.340031961,-0.645883939,Little or no detectable change
|
|||
|
ENT-VSL-8,"ENT—VSL-8. Adults with noise-induced hearing loss (both ears) (age adjusted, per 1,000 population, ages 20-69)",ENT-VSL,Family income,4,93.944223346,19.580927694,Below the poverty threshold (<100%),123.121994182,24.276319682,1.310586109,0.376028157,93.22173201,14.63337572,Above 500% of the poverty threshold,104.603375765,17.468402056,1.122092172,0.257173734,-0.188493937,-0.413762554,Little or no detectable change
|
|||
|
ENT-VSL-9.1,"ENT—VSL-9.1. Adults bothered by tinnitus in the past 12 months who have seen a doctor (age-adjusted percent, ages 18 and over)",ENT-VSL,Sex,2,46.115991498,2.090624716,Male,42.541669087,1.845895223,1.084019327,0.068025069,49.383792951,1.857579855,Female,47.818677962,1.767714901,1.032730202,0.0544658,-0.051289,-0.588561758,Little or no detectable change
|
|||
|
ENT-VSL-9.1,"ENT—VSL-9.1. Adults bothered by tinnitus in the past 12 months who have seen a doctor (age-adjusted percent, ages 18 and over)",ENT-VSL,Educational attainment,6,59.870469825,3.097231147,4-year college degree,47.200512854,4.68774418,1.268428375,0.142040171,63.928185113,4.111511471,Advanced degree,49.081922017,3.429804023,1.302479253,0.123697531,0.0340509,0.180783168,Little or no detectable change
|
|||
|
ENT-VSL-9.1,"ENT—VSL-9.1. Adults bothered by tinnitus in the past 12 months who have seen a doctor (age-adjusted percent, ages 18 and over)",ENT-VSL,Family income,5,53.308029917,4.340726194,At or above 600% of the poverty threshold,42.364491056,3.738317373,1.258318667,0.151087373,55.227529964,3.592580194,At or above 600% of the poverty threshold,47.021722413,3.257363831,1.174510995,0.111611938,-0.083807672,-0.446160442,Little or no detectable change
|
|||
|
ENT-VSL-9.1,"ENT—VSL-9.1. Adults bothered by tinnitus in the past 12 months who have seen a doctor (age-adjusted percent, ages 18 and over)",ENT-VSL,Geographic location,2,46.739396784,1.616612061,Metropolitan,35.811398876,2.942142782,1.305154176,0.116342044,49.105191204,1.425998177,Metropolitan,46.029710489,2.804418501,1.066815122,0.072002609,-0.238339054,-1.741983611,Little or no detectable change
|
|||
|
ENT-VSL-9.2,"ENT—VSL-9.2. Adults with moderate to severe tinnitus in the past 5 years who have seen an audiologist or otolaryngologist (age-adjusted percent, ages 18 and over)",ENT-VSL,Sex,2,52.024204762,7.236842893,Female,38.803835126,6.479229842,1.3406975,0.291368417,65.852875776,7.380011553,Male,59.584231513,5.509489752,1.10520643,0.160575338,-0.235491071,-0.707847791,Little or no detectable change
|
|||
|
ENT-VSL-11,"ENT—VSL-11. Adults with balance or dizziness problems in the past 12 months who have seen a health care provider (age-adjusted percent, ages 18 and over)",ENT-VSL,Sex,2,50.8404478,1.412522392,Female,43.735922255,1.955048583,1.162441425,0.0611815,48.326420369,1.094774311,Female,40.145772422,1.53572421,1.203773584,0.0535177,0.0413322,0.508481832,Little or no detectable change
|
|||
|
ENT-VSL-11,"ENT—VSL-11. Adults with balance or dizziness problems in the past 12 months who have seen a health care provider (age-adjusted percent, ages 18 and over)",ENT-VSL,Race and ethnicity,5,48.745234958,1.390809384,"White only, not Hispanic or Latino",47.225765824,5.994678663,1.032174579,0.134289801,52.336679644,5.015468298,Two or more races,43.058145882,3.510353364,1.215488465,0.152929611,0.183313886,0.900707831,Little or no detectable change
|
|||
|
ENT-VSL-11,"ENT—VSL-11. Adults with balance or dizziness problems in the past 12 months who have seen a health care provider (age-adjusted percent, ages 18 and over)",ENT-VSL,Educational attainment,6,55.984021736,3.154210694,Associates degree,49.973345751,3.345661003,1.120277638,0.09802586,51.093188816,1.875849948,Some college,45.850029779,2.673586745,1.114354539,0.076786846,-0.0059231,-0.047567,Little or no detectable change
|
|||
|
ENT-VSL-11,"ENT—VSL-11. Adults with balance or dizziness problems in the past 12 months who have seen a health care provider (age-adjusted percent, ages 18 and over)",ENT-VSL,Family income,5,53.631608046,3.328534167,At or above 600% of the poverty threshold,47.254371803,2.9494411,1.134955476,0.099899264,48.045508992,2.350927038,At or above 600% of the poverty threshold,44.285124358,2.217272143,1.084913042,0.075952302,-0.050042,-0.39876519,Little or no detectable change
|
|||
|
ENT-VSL-11,"ENT—VSL-11. Adults with balance or dizziness problems in the past 12 months who have seen a health care provider (age-adjusted percent, ages 18 and over)",ENT-VSL,Geographic location,2,49.048668232,2.542973231,Nonmetropolitan,48.211379115,1.253585608,1.017367043,0.0590081,48.122687403,1.888224657,Nonmetropolitan,44.830913751,1.003733762,1.073426423,0.0484932,0.0560594,0.733975788,Little or no detectable change
|
|||
|
ENT-VSL-12,"ENT—VSL-12. Adults with moderate to severe balance or dizziness problems who have seen a health care specialist (age-adjusted percent, ages 18 and over)",ENT-VSL,Sex,2,69.094079517,5.38294832,Male,63.557812404,3.253412464,1.087106005,0.101339141,75.100416817,3.613860641,Male,68.301067534,2.595975547,1.099549678,0.067424601,0.0124437,0.102232159,Little or no detectable change
|
|||
|
ENT-VSL-12,"ENT—VSL-12. Adults with moderate to severe balance or dizziness problems who have seen a health care specialist (age-adjusted percent, ages 18 and over)",ENT-VSL,Race and ethnicity,3,68.694794751,3.37440847,"White only, not Hispanic or Latino",63.255227548,8.592351034,1.085993955,0.156866649,74.970296572,5.394342013,"Black or African American only, not Hispanic or Latino",69.439248892,6.71799379,1.079653046,0.130173649,-0.0063409,-0.031107,Little or no detectable change
|
|||
|
ENT-VSL-12,"ENT—VSL-12. Adults with moderate to severe balance or dizziness problems who have seen a health care specialist (age-adjusted percent, ages 18 and over)",ENT-VSL,Family income,5,73.570534983,7.020700475,At 400%-599% of the poverty threshold,63.282775642,7.609963828,1.16256808,0.178473678,75.444107219,5.562058142,At or above 600% of the poverty threshold,69.323417796,5.689814356,1.088291801,0.120066708,-0.074276279,-0.345307253,Little or no detectable change
|
|||
|
ENT-VSL-12,"ENT—VSL-12. Adults with moderate to severe balance or dizziness problems who have seen a health care specialist (age-adjusted percent, ages 18 and over)",ENT-VSL,Geographic location,2,65.709068419,3.022179372,Metropolitan,63.378956845,5.544550305,1.036764751,0.102469796,71.194854844,2.411065979,Metropolitan,68.328478056,4.628165817,1.041949958,0.078905213,0.00518521,0.040093,Little or no detectable change
|
|||
|
ENT-VSL-13.1,ENT—VSL-13.1. Treatment for children aged 3-17 years with balance disorders (percent),ENT-VSL,Sex,2,32.54479366,3.855641132,Male,29.082543861,3.326797764,1.11904907,0.184290103,35.755686245,3.480865343,Female,30.502058584,3.55118152,1.172238462,0.177902062,0.0531894,0.207650718,Little or no detectable change
|
|||
|
ENT-VSL-13.1,ENT—VSL-13.1. Treatment for children aged 3-17 years with balance disorders (percent),ENT-VSL,Race and ethnicity,3,35.772236337,3.661053422,"White only, not Hispanic or Latino",23.77869467,7.326535103,1.504381836,0.48842175,48.10186195,8.226765439,"Black or African American only, not Hispanic or Latino",30.148870292,5.959905007,1.595478089,0.417054925,0.091096253,0.141838287,Little or no detectable change
|
|||
|
ENT-VSL-13.1,ENT—VSL-13.1. Treatment for children aged 3-17 years with balance disorders (percent),ENT-VSL,Geographic location,2,33.016352493,2.884296532,Metropolitan,21.317320027,5.091251901,1.548804092,0.393872451,34.527610235,2.772812663,Metropolitan,26.139913202,5.17661235,1.320877004,0.282269321,-0.227927088,-0.47036639,Little or no detectable change
|
|||
|
ENT-VSL-13.2,"ENT—VSL-13.2. Adults with moderate to severe balance or dizziness problems who have tried appropriate treatments (age-adjusted percent, ages 18 and over)",ENT-VSL,Sex,2,26.01596577,1.337926445,Female,21.395918655,1.629316445,1.215931234,0.11173141,29.097688747,0.934126716,Female,22.293121616,1.325202235,1.305231688,0.088180477,0.089300454,0.627389305,Little or no detectable change
|
|||
|
ENT-VSL-13.2,"ENT—VSL-13.2. Adults with moderate to severe balance or dizziness problems who have tried appropriate treatments (age-adjusted percent, ages 18 and over)",ENT-VSL,Race and ethnicity,5,28.789941107,6.365926465,Asian only,21.700849832,3.449410057,1.32667344,0.361280285,35.519421534,4.124780722,Two or more races,25.377150512,3.114122398,1.399661539,0.236473331,0.072988098,0.169035886,Little or no detectable change
|
|||
|
ENT-VSL-13.2,"ENT—VSL-13.2. Adults with moderate to severe balance or dizziness problems who have tried appropriate treatments (age-adjusted percent, ages 18 and over)",ENT-VSL,Educational attainment,6,31.283784501,3.636891139,Advanced degree,25.270821981,2.719910124,1.237940916,0.196124778,31.029238029,1.845902316,Some college,27.330306497,2.30034981,1.135341751,0.117018909,-0.102599165,-0.449243588,Little or no detectable change
|
|||
|
ENT-VSL-13.2,"ENT—VSL-13.2. Adults with moderate to severe balance or dizziness problems who have tried appropriate treatments (age-adjusted percent, ages 18 and over)",ENT-VSL,Family income,5,29.026868549,3.181951112,At or above 600% of the poverty threshold,23.260311515,2.704976174,1.247914007,0.199433872,27.915873541,1.617390149,At 200%-399% of the poverty threshold,25.911942392,2.070376157,1.0773362,0.106328753,-0.170577807,-0.754741922,Little or no detectable change
|
|||
|
ENT-VSL-13.2,"ENT—VSL-13.2. Adults with moderate to severe balance or dizziness problems who have tried appropriate treatments (age-adjusted percent, ages 18 and over)",ENT-VSL,Geographic location,2,24.829184687,1.144862712,Metropolitan,23.122558595,2.093458869,1.073807839,0.109101899,26.78387136,1.835426159,Nonmetropolitan,26.608546591,0.860913136,1.00658904,0.076280724,-0.0672188,-0.504934119,Little or no detectable change
|
|||
|
ENT-VSL-14.1,"ENT—VSL-14.1. Adults whose balance or dizziness problems have not improved (age-adjusted percent, ages 18 and over)",ENT-VSL,Sex,2,60.870077194,1.415802132,Female,62.604571686,2.062375055,1.028495027,0.0414757,60.279199805,1.022862785,Female,62.631734319,1.562692046,1.039027302,0.0313515,0.0105323,0.20257554,Little or no detectable change
|
|||
|
ENT-VSL-14.1,"ENT—VSL-14.1. Adults whose balance or dizziness problems have not improved (age-adjusted percent, ages 18 and over)",ENT-VSL,Race and ethnicity,5,52.892628475,6.113012923,Asian only,63.03408377,4.793800169,1.191736648,0.164878363,53.299530905,2.514515117,"Black or African American only, not Hispanic or Latino",57.383242514,4.314026622,1.076618153,0.095556081,-0.115118495,-0.604083624,Little or no detectable change
|
|||
|
ENT-VSL-14.1,"ENT—VSL-14.1. Adults whose balance or dizziness problems have not improved (age-adjusted percent, ages 18 and over)",ENT-VSL,Educational attainment,6,53.01132287,3.868947376,Advanced degree,62.25451914,3.110923286,1.174362679,0.103874248,58.644784441,2.0021623,4-year college degree,61.944694156,2.546264802,1.056269449,0.0564411,-0.11809323,-0.998945965,Little or no detectable change
|
|||
|
ENT-VSL-14.1,"ENT—VSL-14.1. Adults whose balance or dizziness problems have not improved (age-adjusted percent, ages 18 and over)",ENT-VSL,Family income,5,51.615413046,3.286321185,At or above 600% of the poverty threshold,63.13878647,2.870988102,1.223254504,0.095706729,56.77271554,2.393794425,At or above 600% of the poverty threshold,62.266434281,2.30389823,1.096766883,0.0615255,-0.12648762,-1.111716733,Little or no detectable change
|
|||
|
ENT-VSL-14.1,"ENT—VSL-14.1. Adults whose balance or dizziness problems have not improved (age-adjusted percent, ages 18 and over)",ENT-VSL,Geographic location,2,60.706198673,1.344265777,Metropolitan,64.548733315,2.487100529,1.063297237,0.0472534,60.417993389,0.914890607,Metropolitan,65.438634285,1.555047248,1.083098438,0.0305196,0.0198012,0.352006452,Little or no detectable change
|
|||
|
ENT-VSL-14.2,"ENT—VSL-14.2. Adults whose balance or dizziness problems prevent them from participating in regular activities (age-adjusted percent, ages 18 and over)",ENT-VSL,Sex,2,23.100238082,1.17542187,Female,23.648880844,1.767996275,1.023750524,0.09258141,22.149482916,1.281300247,Male,23.834001987,0.906122104,1.076052298,0.07448697,0.0523018,0.440154167,Little or no detectable change
|
|||
|
ENT-VSL-14.2,"ENT—VSL-14.2. Adults whose balance or dizziness problems prevent them from participating in regular activities (age-adjusted percent, ages 18 and over)",ENT-VSL,Race and ethnicity,5,20.97676788,1.916796431,"Black or African American only, not Hispanic or Latino",25.937056552,4.80438839,1.236465823,0.255385998,18.691869063,3.077335929,Asian only,28.577348955,3.661183097,1.528865244,0.318936468,0.292399421,0.715637484,Little or no detectable change
|
|||
|
ENT-VSL-14.2,"ENT—VSL-14.2. Adults whose balance or dizziness problems prevent them from participating in regular activities (age-adjusted percent, ages 18 and over)",ENT-VSL,Educational attainment,6,20.332553886,3.153808997,Advanced degree,24.750437372,2.732278417,1.217281287,0.231751183,18.379663259,1.693540685,4-year college degree,25.463946884,2.25729879,1.385441427,0.1771439,0.168160139,0.576484241,Little or no detectable change
|
|||
|
V-7.2,"V-7.2. Use of assistive and adaptive devices by persons with visual impairment (age-adjusted percent, ages 18 and over)",V,Disability status,2,16.359420099,1.880762229,People with disabilities,8.393362403,1.363104615,1.949090164,0.387822932,19.697821251,1.973507032,People with disabilities,7.800701417,1.228572146,2.525134626,0.471345708,0.576044462,0.943735043,Little or no detectable change
|
|||
|
ENT-VSL-14.2,"ENT—VSL-14.2. Adults whose balance or dizziness problems prevent them from participating in regular activities (age-adjusted percent, ages 18 and over)",ENT-VSL,Family income,5,16.27080655,2.237116521,At 400%-599% of the poverty threshold,24.728676098,2.628520375,1.519818702,0.264128299,14.884431038,1.354127726,At 400%-599% of the poverty threshold,25.097708567,2.034515163,1.686171847,0.205463969,0.166353144,0.497121255,Little or no detectable change
|
|||
|
ENT-VSL-14.2,"ENT—VSL-14.2. Adults whose balance or dizziness problems prevent them from participating in regular activities (age-adjusted percent, ages 18 and over)",ENT-VSL,Geographic location,2,22.731061126,1.078116256,Metropolitan,25.846315251,2.374818602,1.137048337,0.117572584,22.901272926,0.810016047,Metropolitan,25.031379368,1.574201546,1.093012578,0.078864269,-0.044036,-0.31104653,Little or no detectable change
|
|||
|
ENT-VSL-14.3,"ENT—VSL-14.3. Adults who miss work or school days because of balance and dizziness problems (age-adjusted percent, ages 18 and over)",ENT-VSL,Sex,2,11.569638675,1.274558813,Male,16.042538146,1.172333419,1.386606669,0.18330663,10.993589614,0.995949459,Male,12.809490107,0.68509268,1.165178123,0.122580195,-0.221428547,-1.004139074,Little or no detectable change
|
|||
|
ENT-VSL-14.3,"ENT—VSL-14.3. Adults who miss work or school days because of balance and dizziness problems (age-adjusted percent, ages 18 and over)",ENT-VSL,Race and ethnicity,3,11.419291881,1.977392871,Hispanic or Latino,14.874622761,2.40355548,1.302587141,0.30851197,11.641608557,0.669218988,"White only, not Hispanic or Latino",12.833333429,2.373619054,1.102367715,0.213511721,-0.200219425,-0.533649309,Little or no detectable change
|
|||
|
ENT-VSL-14.3,"ENT—VSL-14.3. Adults who miss work or school days because of balance and dizziness problems (age-adjusted percent, ages 18 and over)",ENT-VSL,Educational attainment,6,8.388366844,1.735086103,Less than high school,16.124702138,2.792168983,1.922269548,0.518547294,9.589615377,1.719165165,Less than high school,12.880130318,1.640853307,1.343133151,0.295392526,-0.579136397,-0.970433052,Little or no detectable change
|
|||
|
ENT-VSL-14.3,"ENT—VSL-14.3. Adults who miss work or school days because of balance and dizziness problems (age-adjusted percent, ages 18 and over)",ENT-VSL,Family income,5,10.684137658,1.616493055,Below the poverty threshold (<100%),14.98009108,2.294994081,1.402087053,0.301896243,8.677625975,1.111292545,At 400%-599% of the poverty threshold,12.69568465,1.483376894,1.463036629,0.253625938,0.0609496,0.154579159,Little or no detectable change
|
|||
|
ENT-VSL-14.3,"ENT—VSL-14.3. Adults who miss work or school days because of balance and dizziness problems (age-adjusted percent, ages 18 and over)",ENT-VSL,Geographic location,2,12.734183848,2.006873166,Nonmetropolitan,14.820885127,0.990043623,1.163866119,0.199219171,11.949263905,0.606967027,Metropolitan,13.298494322,1.398086628,1.112913266,0.129942983,-0.050953,-0.214221049,Little or no detectable change
|
|||
|
ENT-VSL-15.1,"ENT—VSL-15.1. Adults who have fallen in the past 5 years due to dizziness, vertigo, or imbalance (age-adjusted percent, ages 18 and over)",ENT-VSL,Sex,2,54.071795991,2.220566768,Female,58.458297512,3.463959056,1.081123651,0.077943539,41.702731041,1.767953558,Female,42.666718563,2.71229466,1.023115693,0.078175192,-0.058008,-0.525468986,Little or no detectable change
|
|||
|
ENT-VSL-15.1,"ENT—VSL-15.1. Adults who have fallen in the past 5 years due to dizziness, vertigo, or imbalance (age-adjusted percent, ages 18 and over)",ENT-VSL,Race and ethnicity,3,54.656802577,2.31412489,"White only, not Hispanic or Latino",59.272095443,6.929417278,1.084441326,0.134838522,34.715174421,3.695936325,Hispanic or Latino,42.090880074,4.575205262,1.212463448,0.184477885,0.128022122,0.560265072,Little or no detectable change
|
|||
|
ENT-VSL-15.1,"ENT—VSL-15.1. Adults who have fallen in the past 5 years due to dizziness, vertigo, or imbalance (age-adjusted percent, ages 18 and over)",ENT-VSL,Educational attainment,6,36.644469107,6.843740317,Advanced degree,52.721624618,5.13699259,1.438733482,0.303068786,33.996051686,3.726564749,4-year college degree,44.378221127,4.345613882,1.305393389,0.191874062,-0.133340092,-0.371730563,Little or no detectable change
|
|||
|
ENT-VSL-15.1,"ENT—VSL-15.1. Adults who have fallen in the past 5 years due to dizziness, vertigo, or imbalance (age-adjusted percent, ages 18 and over)",ENT-VSL,Family income,5,45.273040454,5.266170909,At 400%-599% of the poverty threshold,57.26726981,5.077979622,1.264930944,0.185013386,33.709097395,3.856793884,At 400%-599% of the poverty threshold,42.49617723,4.014985283,1.260673839,0.187059547,-0.0042571,-0.016181,Little or no detectable change
|
|||
|
ENT-VSL-15.1,"ENT—VSL-15.1. Adults who have fallen in the past 5 years due to dizziness, vertigo, or imbalance (age-adjusted percent, ages 18 and over)",ENT-VSL,Geographic location,2,55.202582142,2.075171669,Metropolitan,56.021941423,4.381204282,1.014842771,0.088058876,40.746231789,2.77158206,Nonmetropolitan,42.37149581,1.785872401,1.039887468,0.083212115,0.0250447,0.206715549,Little or no detectable change
|
|||
|
ENT-VSL-15.2,"ENT—VSL-15.2. Adults with balance or dizziness problems who were injured from a fall in the past 12 months (age-adjusted percent, ages 18 and over)",ENT-VSL,Sex,2,37.62595932,3.775502244,Male,43.814957348,2.712878091,1.164487448,0.137302898,35.731479146,3.103301168,Male,44.174566443,2.055569539,1.236292689,0.121813035,0.071805241,0.39120321,Little or no detectable change
|
|||
|
ENT-VSL-15.2,"ENT—VSL-15.2. Adults with balance or dizziness problems who were injured from a fall in the past 12 months (age-adjusted percent, ages 18 and over)",ENT-VSL,Race and ethnicity,3,33.229639155,5.520510874,"Black or African American only, not Hispanic or Latino",43.61455572,7.344228211,1.312519691,0.310473671,39.000107131,5.124029477,Hispanic or Latino,42.444451919,5.780087758,1.08831629,0.205939317,-0.224203401,-0.60178283,Little or no detectable change
|
|||
|
ENT-VSL-15.2,"ENT—VSL-15.2. Adults with balance or dizziness problems who were injured from a fall in the past 12 months (age-adjusted percent, ages 18 and over)",ENT-VSL,Educational attainment,6,36.001290589,8.547638314,Advanced degree,43.457560865,5.997063531,1.207111194,0.331493359,39.254425399,3.571056004,Some college,45.165555624,5.406388646,1.150585066,0.172987645,-0.056526,-0.15117366,Little or no detectable change
|
|||
|
ENT-VSL-15.2,"ENT—VSL-15.2. Adults with balance or dizziness problems who were injured from a fall in the past 12 months (age-adjusted percent, ages 18 and over)",ENT-VSL,Family income,5,32.534446536,7.020273311,At or above 600% of the poverty threshold,43.75358283,5.575317462,1.344838701,0.337010547,30.906348751,3.566364584,At or above 600% of the poverty threshold,42.511986104,4.627889631,1.375509817,0.218208646,0.0306711,0.076393957,Little or no detectable change
|
|||
|
ENT-VSL-15.2,"ENT—VSL-15.2. Adults with balance or dizziness problems who were injured from a fall in the past 12 months (age-adjusted percent, ages 18 and over)",ENT-VSL,Geographic location,2,39.832175715,5.244664784,Nonmetropolitan,42.149988076,2.450199725,1.058189449,0.152305387,40.955855026,3.420025827,Nonmetropolitan,41.417200152,2.017703778,1.011264449,0.097765886,-0.046925,-0.259277497,Little or no detectable change
|
|||
|
FP-1,"FP-1. Intended pregnancy (percent, females ages 15-44)",FP,Family income,3,62,,Above 200% of the poverty threshold,40.5,,1.530864198,,69.986817153,,Above 200% of the poverty threshold,43.534578145,,1.607614456,,0.076750258,,Little or no detectable change
|
|||
|
FP-2,"FP-2. Females experiencing pregnancy due to contraceptive failure (percent, ages 15-44)",FP,Race and ethnicity,3,10.1,,"White only, not Hispanic or Latino",18.15,,1.797029703,,8.3,,"White only, not Hispanic or Latino",14.55,,1.753012048,,-0.044018,,Little or no detectable change
|
|||
|
FP-2,"FP-2. Females experiencing pregnancy due to contraceptive failure (percent, ages 15-44)",FP,Family income,3,8.4,,Above 200% of the poverty threshold,18.85,,2.244047619,,6.3,,Above 200% of the poverty threshold,15.35,,2.436507937,,0.192460317,,Increase
|
|||
|
FP-5,"FP-5. Pregnancies conceived within 18 months of a previous birth (percent, females ages 15-44)",FP,Race and ethnicity,3,25.321577545,2.169003258,Hispanic or Latino,36.928250292,4.193323858,1.458370839,0.207435969,23.116549526,4.240120126,Hispanic or Latino,35.426658573,5.062938095,1.532523638,0.35635178,0.074152799,0.179838347,Little or no detectable change
|
|||
|
FP-5,"FP-5. Pregnancies conceived within 18 months of a previous birth (percent, females ages 15-44)",FP,Disability status,2,28.886943906,1.863873069,People without disabilities,29.442699061,2.946049681,1.019238974,0.121350724,33.792623035,2.384278019,People without disabilities,33.798288833,6.751487404,1.000167664,0.211888148,-0.019071,-0.078104332,Little or no detectable change
|
|||
|
FP-5,"FP-5. Pregnancies conceived within 18 months of a previous birth (percent, females ages 15-44)",FP,Geographic location,2,32.449779008,1.743626067,Metropolitan,35.320950136,2.875258353,1.088480452,0.106169065,31.371037257,2.305520765,Metropolitan,43.342419536,6.892467413,1.381606199,0.242035878,0.293125746,1.109074445,Little or no detectable change
|
|||
|
FP-6,"FP-6. Contraceptive use at most recent sexual intercourse by females at risk of unintended pregnancy or use by their partners (percent, females ages 15-44)",FP,Race and ethnicity,3,85.48070509,1.073970701,"White only, not Hispanic or Latino",78.84554942,2.515199569,1.084153839,0.0371706,80.977750939,1.553047065,"White only, not Hispanic or Latino",77.788872386,4.122774968,1.04099402,0.0586734,-0.04316,-0.621392553,Little or no detectable change
|
|||
|
FP-6,"FP-6. Contraceptive use at most recent sexual intercourse by females at risk of unintended pregnancy or use by their partners (percent, females ages 15-44)",FP,Educational attainment,6,86.164245201,2.37700253,Associates degree,82.937258064,2.507785437,1.038908775,0.0425232,85.970299667,3.590355973,Advanced degree,78.698683627,4.641238714,1.092398191,0.078941576,0.0534894,0.596540421,Little or no detectable change
|
|||
|
FP-6,"FP-6. Contraceptive use at most recent sexual intercourse by females at risk of unintended pregnancy or use by their partners (percent, females ages 15-44)",FP,Family income,5,87.191824453,2.103520988,At 400%-499% of the poverty threshold,81.703764706,2.250884285,1.067170219,0.0390793,84.59144918,4.475259411,At 400%-499% of the poverty threshold,79.057699004,3.322927597,1.069996348,0.072298322,0.00282613,0.0343877,Little or no detectable change
|
|||
|
FP-6,"FP-6. Contraceptive use at most recent sexual intercourse by females at risk of unintended pregnancy or use by their partners (percent, females ages 15-44)",FP,Disability status,2,82.170241796,0.910246923,People without disabilities,76.048460249,1.96453256,1.080498429,0.0303702,80.250647996,1.451271474,People without disabilities,76.747825402,3.27930093,1.045640675,0.0485153,-0.034858,-0.609006398,Little or no detectable change
|
|||
|
FP-6,"FP-6. Contraceptive use at most recent sexual intercourse by females at risk of unintended pregnancy or use by their partners (percent, females ages 15-44)",FP,Geographic location,2,84.783082059,1.962033857,Nonmetropolitan,82.862157926,0.893814577,1.023182164,0.0261242,80.271624249,3.046500251,Nonmetropolitan,79.486729308,1.535000772,1.009874541,0.0430035,-0.013308,-0.264476995,Little or no detectable change
|
|||
|
FP-7.1,"FP-7.1. Sexually active females receiving reproductive health services (percent, ages 15-44)",FP,Race and ethnicity,3,83.803976066,1.368064031,"Black or African American only, not Hispanic or Latino",75.948582507,2.286540016,1.103430417,0.0377897,84.920566054,2.032323048,"Black or African American only, not Hispanic or Latino",75.633229193,3.392220325,1.122794398,0.0570789,0.019364,0.282872388,Little or no detectable change
|
|||
|
FP-7.1,"FP-7.1. Sexually active females receiving reproductive health services (percent, ages 15-44)",FP,Educational attainment,6,85.229820425,2.278350876,Advanced degree,75.042177527,2.353277768,1.135758892,0.046801,84.175018563,1.991176914,4-year college degree,74.517230948,4.296033486,1.129604757,0.070392317,-0.0061541,-0.072803674,Little or no detectable change
|
|||
|
FP-7.1,"FP-7.1. Sexually active females receiving reproductive health services (percent, ages 15-44)",FP,Family income,5,89.393515668,1.511984555,At 400%-499% of the poverty threshold,78.941836816,1.829941379,1.132397209,0.0324947,80.266136274,2.383925995,Above 500% of the poverty threshold,77.266153121,3.187905409,1.038826615,0.0528107,-0.093570594,-1.509030979,Little or no detectable change
|
|||
|
FP-7.1,"FP-7.1. Sexually active females receiving reproductive health services (percent, ages 15-44)",FP,Disability status,2,78.649854011,0.819587226,People without disabilities,73.645891338,1.716146915,1.067946257,0.027261,78.24698493,1.26077844,People without disabilities,77.047184239,2.461188905,1.015572285,0.0363347,-0.052374,-1.152992126,Little or no detectable change
|
|||
|
FP-7.1,"FP-7.1. Sexually active females receiving reproductive health services (percent, ages 15-44)",FP,Geographic location,2,78.774208572,1.886063056,Nonmetropolitan,78.546164465,0.890673184,1.002903313,0.0265691,78.884857817,2.758642644,Nonmetropolitan,77.841168367,1.303924285,1.013407937,0.0392953,0.0105046,0.221454991,Little or no detectable change
|
|||
|
FP-7.2,"FP-7.2. Sexually active males receiving reproductive health services (percent, ages 15-44)",FP,Race and ethnicity,3,24.60916615,1.462129861,"Black or African American only, not Hispanic or Latino",14.045171277,1.750947242,1.752144254,0.241970396,18.902403797,3.076821805,"Black or African American only, not Hispanic or Latino",11.529281685,2.185472051,1.639512705,0.409641332,-0.11263155,-0.236736023,Little or no detectable change
|
|||
|
FP-7.2,"FP-7.2. Sexually active males receiving reproductive health services (percent, ages 15-44)",FP,Family income,4,21.815444703,2.165792333,Below the poverty threshold (<100%),13.902103956,1.786480381,1.569218931,0.254820419,13.13067408,1.713311572,Above 500% of the poverty threshold,10.793612159,2.062703234,1.216522688,0.281504029,-0.352696242,-0.92886241,Little or no detectable change
|
|||
|
FP-7.2,"FP-7.2. Sexually active males receiving reproductive health services (percent, ages 15-44)",FP,Disability status,2,16.110520789,1.661656974,People with disabilities,12.712358063,0.745467107,1.267311754,0.150361458,12.602836932,2.171492877,People with disabilities,10.77756372,0.802457821,1.16935861,0.219489867,-0.097953143,-0.368171099,Little or no detectable change
|
|||
|
FP-7.2,"FP-7.2. Sexually active males receiving reproductive health services (percent, ages 15-44)",FP,Geographic location,2,15.04098566,0.73234761,Metropolitan,13.893272496,1.598244626,1.082609275,0.135236536,13.830808695,0.87350494,Metropolitan,9.69285828,1.18331367,1.426907141,0.1961284,0.344297866,1.445210918,Little or no detectable change
|
|||
|
FP-9.1,"FP-9.1. Adolescent females who have never had sexual intercourse (percent, ages 15-17)",FP,Race and ethnicity,3,74.444140205,2.46953968,"White only, not Hispanic or Latino",69.620250906,6.042925699,1.069288594,0.099359941,79.468499982,4.534715174,"White only, not Hispanic or Latino",70.284905847,10.071362762,1.130662395,0.174390477,0.0613738,0.305783731,Little or no detectable change
|
|||
|
FP-9.1,"FP-9.1. Adolescent females who have never had sexual intercourse (percent, ages 15-17)",FP,Disability status,2,73.48438305,2.262218441,People without disabilities,66.33015165,3.489071784,1.107857908,0.067521604,80.606702907,2.925014118,People without disabilities,62.808230708,8.108619628,1.283378022,0.172106246,0.175520114,0.949385507,Little or no detectable change
|
|||
|
FP-9.1,"FP-9.1. Adolescent females who have never had sexual intercourse (percent, ages 15-17)",FP,Geographic location,2,74.907422601,2.001055167,Metropolitan,63.868396978,3.866594456,1.172840186,0.077609035,73.148531393,2.051758293,Metropolitan,64.99006112,6.577405464,1.125534122,0.118205086,-0.047306,-0.334541149,Little or no detectable change
|
|||
|
FP-9.2,"FP-9.2. Adolescent males who have never had sexual intercourse (percent, ages 15-17)",FP,Race and ethnicity,3,76.664642052,2.131231973,"White only, not Hispanic or Latino",63.469235195,5.209688785,1.207902408,0.104679085,81.504509694,4.058813505,"White only, not Hispanic or Latino",71.953727423,7.471380232,1.132735059,0.130445638,-0.075167349,-0.449421343,Little or no detectable change
|
|||
|
FP-9.2,"FP-9.2. Adolescent males who have never had sexual intercourse (percent, ages 15-17)",FP,Family income,4,72.988135295,2.980722633,At 100%-199% of the poverty threshold,68.520087426,4.385044589,1.065207854,0.080866952,82.289228377,5.485390751,Above 500% of the poverty threshold,73.588593207,6.930270204,1.118233476,0.129022223,0.0530256,0.348233863,Little or no detectable change
|
|||
|
FP-9.2,"FP-9.2. Adolescent males who have never had sexual intercourse (percent, ages 15-17)",FP,Disability status,2,69.148810843,1.872144665,People without disabilities,65.62466477,3.877645316,1.053701548,0.068485965,77.216898296,3.263260133,People without disabilities,76.03383907,5.579849149,1.015559641,0.08600268,-0.038142,-0.346934064,Little or no detectable change
|
|||
|
FP-9.2,"FP-9.2. Adolescent males who have never had sexual intercourse (percent, ages 15-17)",FP,Geographic location,2,73.356811223,1.920647276,Metropolitan,66.143040103,4.300464382,1.109063193,0.077735792,78.082277779,3.321023798,Metropolitan,70.143674746,7.761840806,1.113176321,0.131965739,0.00411313,0.0268552,Little or no detectable change
|
|||
|
FP-9.3,"FP-9.3. Adolescent females who have never had sexual intercourse (percent, ages 15 and under)",FP,Race and ethnicity,3,92.827498701,4.147986239,Hispanic or Latino,85.459016202,5.155042796,1.086222412,0.081542393,90.086619896,3.141563144,Hispanic or Latino,83.369065189,5.895784401,1.080576107,0.085203234,-0.0056463,-0.047876,Little or no detectable change
|
|||
|
FP-10.1,"FP-10.1. Condom use at first intercourse by sexually experienced adolescent females (percent, ages 15-19)",FP,Race and ethnicity,3,70.724232088,2.581884394,"White only, not Hispanic or Latino",64.751548029,5.800419866,1.09224002,0.105655381,67.891757956,6.023751955,Hispanic or Latino,59.560676687,11.209593405,1.139875531,0.237174226,0.0476355,0.183465165,Little or no detectable change
|
|||
|
FP-10.1,"FP-10.1. Condom use at first intercourse by sexually experienced adolescent females (percent, ages 15-19)",FP,Disability status,2,76.402867715,2.146427078,People without disabilities,69.751582984,3.686907529,1.095356757,0.065567715,65.890764307,7.694049384,People with disabilities,62.17416607,5.445496484,1.059777211,0.15469202,-0.03558,-0.211765206,Little or no detectable change
|
|||
|
FP-10.1,"FP-10.1. Condom use at first intercourse by sexually experienced adolescent females (percent, ages 15-19)",FP,Geographic location,2,71.802193269,2.054084006,Metropolitan,56.579756201,4.821316958,1.269043879,0.114070069,74.810991528,2.118075946,Metropolitan,73.726305741,4.092610881,1.014712331,0.063230876,-0.254331548,-1.950053343,Little or no detectable change
|
|||
|
FP-10.2,"FP-10.2. Condom use at first intercourse by sexually experienced adolescent males (percent, ages 15-19)",FP,Race and ethnicity,3,80.935557429,2.888427277,"White only, not Hispanic or Latino",79.055698918,4.63131812,1.023778912,0.070228529,86.469932283,4.117291551,Hispanic or Latino,79.63821271,5.879662156,1.085784441,0.095388714,0.0620055,0.52346215,Little or no detectable change
|
|||
|
FP-10.2,"FP-10.2. Condom use at first intercourse by sexually experienced adolescent males (percent, ages 15-19)",FP,Disability status,2,78.284548574,2.110653389,People without disabilities,70.424135994,4.336757934,1.111615321,0.074727322,83.84335294,3.099173428,People without disabilities,76.734051382,5.759349029,1.092648589,0.091415749,-0.018967,-0.160636924,Little or no detectable change
|
|||
|
FP-10.2,"FP-10.2. Condom use at first intercourse by sexually experienced adolescent males (percent, ages 15-19)",FP,Geographic location,2,81.469491063,4.634400976,Nonmetropolitan,79.040511852,2.12783984,1.030730813,0.064867694,82.465147183,4.621144666,Nonmetropolitan,82.344202464,3.325685486,1.00146877,0.069176529,-0.029262,-0.308565438,Little or no detectable change
|
|||
|
FP-10.3,"FP-10.3. Condom use at last intercourse by sexually active adolescent females (percent, ages 15-19)",FP,Race and ethnicity,3,57.765834781,5.069770409,"Black or African American only, not Hispanic or Latino",47.44011754,7.013997974,1.217657919,0.209359365,59.119050425,3.650901669,"White only, not Hispanic or Latino",50.32915354,8.891424221,1.174648216,0.219833092,-0.04301,-0.141677237,Little or no detectable change
|
|||
|
FP-10.3,"FP-10.3. Condom use at last intercourse by sexually active adolescent females (percent, ages 15-19)",FP,Geographic location,2,53.555013904,6.574531895,Nonmetropolitan,49.43235314,2.876059127,1.083400051,0.147181691,58.510323453,5.022735325,Nonmetropolitan,54.478338975,3.291787899,1.074010782,0.112746346,-0.009389,-0.050643,Little or no detectable change
|
|||
|
FP-10.4,"FP-10.4. Condom use at last intercourse by sexually active adolescent males (percent, ages 15-19)",FP,Race and ethnicity,3,79.007816309,4.03771887,"Black or African American only, not Hispanic or Latino",70.237323546,5.572140432,1.124869404,0.106152656,81.784961468,3.424094183,"Black or African American only, not Hispanic or Latino",71.489222531,5.736889599,1.144018057,0.103548745,0.0191487,0.129127401,Little or no detectable change
|
|||
|
FP-10.4,"FP-10.4. Condom use at last intercourse by sexually active adolescent males (percent, ages 15-19)",FP,Geographic location,2,79.171163443,4.618794346,Nonmetropolitan,72.838164654,2.611147138,1.086946161,0.074426871,77.510964129,2.238753759,Metropolitan,62.857157886,6.102848296,1.23312868,0.124910785,0.146182519,1.005360355,Little or no detectable change
|
|||
|
FP-12.1,"FP-12.1. Adolescent females who received formal education on abstinence before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,90.64501332,1.220938843,"White only, not Hispanic or Latino",86.043499579,3.536038942,1.053478924,0.0455598,86.187570847,3.113173598,Hispanic or Latino,78.469523416,7.446244279,1.098357261,0.111522419,0.0448783,0.372528054,Little or no detectable change
|
|||
|
FP-12.1,"FP-12.1. Adolescent females who received formal education on abstinence before age 18 (percent, ages 15-19)",FP,Family income,4,92.17516,3.407997063,Above 500% of the poverty threshold,88.178105148,2.133546717,1.045329335,0.0461894,88.441536849,3.747154063,Above 500% of the poverty threshold,80.138319578,5.201781727,1.103611073,0.085545317,0.0582817,0.599491312,Little or no detectable change
|
|||
|
FP-12.1,"FP-12.1. Adolescent females who received formal education on abstinence before age 18 (percent, ages 15-19)",FP,Disability status,2,84.734475189,1.850712156,People with disabilities,83.348385382,1.552415784,1.016630074,0.029182,82.999761571,2.306372114,People without disabilities,76.460444339,5.272576303,1.085525493,0.080704951,0.06889542,0.802800343,Little or no detectable change
|
|||
|
FP-12.1,"FP-12.1. Adolescent females who received formal education on abstinence before age 18 (percent, ages 15-19)",FP,Geographic location,2,92.078241211,2.621400219,Nonmetropolitan,87.820138399,1.305085989,1.048486633,0.0336717,82.510859045,5.894117571,Nonmetropolitan,81.136571278,2.196520591,1.016937957,0.077686124,-0.031549,-0.372609876,Little or no detectable change
|
|||
|
FP-12.2,"FP-12.2. Adolescent males who received formal education on abstinence before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,85.40341086,1.454333017,"White only, not Hispanic or Latino",78.028439393,3.594934454,1.094516455,0.053761,79.575485977,3.643443853,"Black or African American only, not Hispanic or Latino",77.85683841,4.858577818,1.022074459,0.079107621,-0.072441996,-0.757392816,Little or no detectable change
|
|||
|
FP-12.2,"FP-12.2. Adolescent males who received formal education on abstinence before age 18 (percent, ages 15-19)",FP,Family income,4,84.82504683,1.756438731,At 200%-399% of the poverty threshold,80.329366926,4.931355794,1.055965584,0.068413187,88.248561674,2.762377694,Above 500% of the poverty threshold,78.158939201,4.225004967,1.129091088,0.070529288,0.073125504,0.744215096,Little or no detectable change
|
|||
|
FP-12.2,"FP-12.2. Adolescent males who received formal education on abstinence before age 18 (percent, ages 15-19)",FP,Disability status,2,83.290241176,1.18239333,People without disabilities,72.807023023,2.899897431,1.143986359,0.0483725,80.227993245,2.036221352,People without disabilities,73.12992322,4.961721281,1.09706109,0.079470864,-0.046925,-0.504382795,Little or no detectable change
|
|||
|
FP-12.2,"FP-12.2. Adolescent males who received formal education on abstinence before age 18 (percent, ages 15-19)",FP,Geographic location,2,86.172996189,2.203152443,Nonmetropolitan,81.610931296,1.310620457,1.05590017,0.0318797,79.253448506,2.306334394,Metropolitan,74.687777214,6.342433125,1.0611301,0.095254614,0.00522993,0.0520662,Little or no detectable change
|
|||
|
FP-12.3,"FP-12.3. Adolescent females who received formal education on birth control before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,71.434411978,2.630548552,"White only, not Hispanic or Latino",67.654675395,3.697204534,1.055868077,0.069579056,67.863731204,4.742400303,Hispanic or Latino,58.318732999,8.045850607,1.163669506,0.179963979,0.107801429,0.558712053,Little or no detectable change
|
|||
|
FP-12.3,"FP-12.3. Adolescent females who received formal education on birth control before age 18 (percent, ages 15-19)",FP,Family income,4,77.854626725,5.618878982,Above 500% of the poverty threshold,69.285483532,3.346436131,1.123678767,0.097582495,82.693060756,5.596778159,Above 500% of the poverty threshold,59.761558621,5.722672512,1.383716601,0.162257754,0.260037834,1.373385417,Little or no detectable change
|
|||
|
FP-12.3,"FP-12.3. Adolescent females who received formal education on birth control before age 18 (percent, ages 15-19)",FP,Disability status,2,66.75550475,1.88617874,People without disabilities,61.777970753,3.44664452,1.080571342,0.067576446,63.504324637,3.651191062,People without disabilities,60.25968959,5.35321237,1.053844204,0.111515823,-0.026727,-0.204973591,Little or no detectable change
|
|||
|
FP-12.3,"FP-12.3. Adolescent females who received formal education on birth control before age 18 (percent, ages 15-19)",FP,Geographic location,2,70.803477811,3.388601036,Nonmetropolitan,70.382987271,1.904528142,1.005974321,0.0553078,63.588564168,3.112218379,Metropolitan,57.703199701,8.566033446,1.101993728,0.172252552,0.096019407,0.530746019,Little or no detectable change
|
|||
|
FP-12.4,"FP-12.4. Adolescent males who received formal education on birth control before age 18 (percent, 15-19)",FP,Race and ethnicity,3,62.490567336,2.351524875,"White only, not Hispanic or Latino",56.018382535,4.569162932,1.115536803,0.100205639,65.775787217,3.246295351,"White only, not Hispanic or Latino",53.453255092,6.218930156,1.230529125,0.155512718,0.114992322,0.621576711,Little or no detectable change
|
|||
|
FP-12.4,"FP-12.4. Adolescent males who received formal education on birth control before age 18 (percent, 15-19)",FP,Family income,4,65.387460682,2.536152732,At 200%-399% of the poverty threshold,57.994107317,6.452605498,1.127484562,0.132851356,77.266766823,5.056193246,Above 500% of the poverty threshold,58.632870256,5.709879946,1.317806317,0.154614768,0.190321755,0.933631933,Little or no detectable change
|
|||
|
FP-12.4,"FP-12.4. Adolescent males who received formal education on birth control before age 18 (percent, 15-19)",FP,Disability status,2,58.977739144,1.815795501,People without disabilities,54.959358826,3.126082575,1.073115488,0.069406699,62.490142333,3.144629054,People without disabilities,59.25424769,5.155513152,1.054610341,0.105999933,-0.018505,-0.146053077,Little or no detectable change
|
|||
|
FP-12.4,"FP-12.4. Adolescent males who received formal education on birth control before age 18 (percent, 15-19)",FP,Geographic location,2,61.269900568,1.699548917,Metropolitan,58.92144623,4.445761632,1.039857378,0.083593759,63.08334871,2.801062182,Metropolitan,53.696154607,8.855393632,1.174820603,0.200647223,0.134963225,0.620908056,Little or no detectable change
|
|||
|
FP-12.5,"FP-12.5. Adolescent females who received formal education on HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,89.533202422,1.647105786,Hispanic or Latino,89.032751425,2.239005498,1.005620976,0.0313338,83.805658372,2.837348921,Hispanic or Latino,82.745954662,6.319654148,1.012806713,0.084611884,0.00718574,0.079640323,Little or no detectable change
|
|||
|
FP-12.5,"FP-12.5. Adolescent females who received formal education on HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Family income,4,91.524026777,1.346587909,At 200%-399% of the poverty threshold,89.022066589,2.78299121,1.028104944,0.0355221,85.775297835,4.448404574,At 200%-399% of the poverty threshold,81.775902639,6.452007437,1.048906769,0.099034647,0.0208018,0.197712421,Little or no detectable change
|
|||
|
FP-12.5,"FP-12.5. Adolescent females who received formal education on HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Disability status,2,87.225100089,1.466443224,People without disabilities,83.75759787,2.418688464,1.041399256,0.0347981,84.34228216,3.13513228,People without disabilities,78.69607315,5.302848634,1.071747023,0.082477975,0.0303478,0.339011963,Little or no detectable change
|
|||
|
FP-12.5,"FP-12.5. Adolescent females who received formal education on HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Geographic location,2,91.052435331,2.426471073,Nonmetropolitan,88.905904728,1.002403274,1.024143847,0.0296348,83.716523283,2.640017188,Metropolitan,78.499734599,6.465046121,1.066456131,0.094049311,0.0423123,0.42909684,Little or no detectable change
|
|||
|
FP-12.6,"FP-12.6. Adolescent males who received formal education on HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,87.773774064,1.339269407,"White only, not Hispanic or Latino",86.712476482,2.764528198,1.012239272,0.0357773,89.524598024,2.22696787,Hispanic or Latino,82.671417194,4.773524431,1.082896617,0.068083155,0.070657345,0.918687646,Little or no detectable change
|
|||
|
FP-12.6,"FP-12.6. Adolescent males who received formal education on HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Family income,4,97.352404666,1.705318331,Above 500% of the poverty threshold,86.699913454,2.259780718,1.122866227,0.0352622,91.069286724,2.971231788,Above 500% of the poverty threshold,83.769586533,4.154423807,1.08714022,0.064535954,-0.035726,-0.485795537,Little or no detectable change
|
|||
|
FP-12.6,"FP-12.6. Adolescent males who received formal education on HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Disability status,2,87.065271932,1.515167348,People without disabilities,83.076494758,2.773300123,1.048013306,0.0394538,86.111325806,2.047451581,People without disabilities,84.187165008,3.966028671,1.02285575,0.0539759,-0.025158,-0.376282872,Little or no detectable change
|
|||
|
FP-12.6,"FP-12.6. Adolescent males who received formal education on HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Geographic location,2,91.292508916,2.063531453,Nonmetropolitan,87.087345745,1.115094939,1.04828673,0.0272327,87.631748066,1.632290024,Metropolitan,73.827251717,7.845465044,1.18698375,0.128061271,0.138697019,1.059363887,Little or no detectable change
|
|||
|
FP-12.7,"FP-12.7. Adolescent females who received formal education on STDs before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,94.33590657,1.027668313,"White only, not Hispanic or Latino",92.026912286,2.112626902,1.025090424,0.0260478,91.125372278,2.249855814,"White only, not Hispanic or Latino",88.003697194,6.567535056,1.03547209,0.081394365,0.0103817,0.121478846,Little or no detectable change
|
|||
|
FP-12.7,"FP-12.7. Adolescent females who received formal education on STDs before age 18 (percent, ages 15-19)",FP,Family income,4,98.069531521,1.540168633,Above 500% of the poverty threshold,93.555852599,1.495944948,1.048245821,0.0234938,98.906587704,0.870172977,Above 500% of the poverty threshold,89.37603962,4.099824143,1.106634263,0.0516883,0.0583884,1.028379666,Little or no detectable change
|
|||
|
FP-12.7,"FP-12.7. Adolescent females who received formal education on STDs before age 18 (percent, ages 15-19)",FP,Disability status,2,93.197494609,1.064320554,People without disabilities,90.242614845,2.009967336,1.032743729,0.0258496,91.155499775,2.662372725,People with disabilities,89.833185064,3.264644717,1.014719669,0.0473095,-0.018024,-0.334330169,Little or no detectable change
|
|||
|
FP-12.7,"FP-12.7. Adolescent females who received formal education on STDs before age 18 (percent, ages 15-19)",FP,Geographic location,2,95.907377569,1.827144282,Nonmetropolitan,93.330678281,0.711852046,1.027608278,0.0210878,91.668810425,4.019726176,Nonmetropolitan,89.894903179,2.87575496,1.019733124,0.0553504,-0.007875,-0.132955716,Little or no detectable change
|
|||
|
FP-12.8,"FP-12.8. Adolescent males who received formal education on STDs before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,91.999092156,1.136863249,"White only, not Hispanic or Latino",90.146906941,2.267007964,1.020546298,0.0285957,94.921313186,1.449862017,Hispanic or Latino,91.354052872,3.160951049,1.039048736,0.0392994,0.0185024,0.38069237,Little or no detectable change
|
|||
|
FP-12.8,"FP-12.8. Adolescent males who received formal education on STDs before age 18 (percent, ages 15-19)",FP,Family income,4,97.148108207,2.852186883,Above 500% of the poverty threshold,90.813267325,1.677384303,1.069756777,0.0371057,95.514225112,1.954773092,Above 500% of the poverty threshold,92.200399157,2.924756025,1.035941558,0.0391075,-0.033815,-0.627259165,Little or no detectable change
|
|||
|
FP-12.8,"FP-12.8. Adolescent males who received formal education on STDs before age 18 (percent, ages 15-19)",FP,Disability status,2,92.056560664,1.086692007,People without disabilities,91.83396733,1.705246244,1.002423867,0.0220567,93.068095512,1.506420788,People without disabilities,93.053328107,2.072439836,1.000158698,0.0275364,-0.0022652,-0.064203508,Little or no detectable change
|
|||
|
FP-12.8,"FP-12.8. Adolescent males who received formal education on STDs before age 18 (percent, ages 15-19)",FP,Geographic location,2,94.757066318,1.457788107,Nonmetropolitan,91.100503279,0.868618501,1.040137682,0.018826,94.0363584,1.131455377,Metropolitan,87.19493785,5.001968136,1.078461213,0.063212502,0.0383235,0.581043903,Little or no detectable change
|
|||
|
FP-13.1,"FP-13.1. Adolescent females who talked to a parent or guardian about abstinence before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,68.457967536,2.519232482,"Black or African American only, not Hispanic or Latino",59.662508545,3.838413749,1.147420201,0.085042855,60.915460622,2.384883401,"White only, not Hispanic or Latino",56.915796285,7.753928726,1.070273362,0.151710175,-0.077146839,-0.443575863,Little or no detectable change
|
|||
|
FP-13.1,"FP-13.1. Adolescent females who talked to a parent or guardian about abstinence before age 18 (percent, ages 15-19)",FP,Disability status,2,61.596687461,1.873697603,People without disabilities,58.434960893,3.46868488,1.054106763,0.070308874,63.781828745,2.32946364,People without disabilities,46.857793919,3.905326265,1.361178652,0.123860844,0.307071889,2.156027013,Increase
|
|||
|
FP-13.1,"FP-13.1. Adolescent females who talked to a parent or guardian about abstinence before age 18 (percent, ages 15-19)",FP,Geographic location,2,62.363204102,1.52590379,Metropolitan,57.554409752,3.850559087,1.083552144,0.077188826,59.748369214,2.197691013,Metropolitan,58.156402686,5.100687354,1.027373882,0.09771053,-0.056178,-0.451155166,Little or no detectable change
|
|||
|
FP-13.2,"FP-13.2. Adolescent males who talked to a parent or guardian about abstinence before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,45.218082401,2.175097736,"White only, not Hispanic or Latino",36.234399697,3.772855284,1.247932428,0.14313496,41.948943134,5.120633885,"Black or African American only, not Hispanic or Latino",39.112947284,5.184146421,1.072507853,0.193254776,-0.175424575,-0.729449058,Little or no detectable change
|
|||
|
FP-13.2,"FP-13.2. Adolescent males who talked to a parent or guardian about abstinence before age 18 (percent, ages 15-19)",FP,Family income,4,43.963663097,3.705394549,At 100%-199% of the poverty threshold,39.115295531,4.180628899,1.123950682,0.152984933,53.713918873,6.600199782,Above 500% of the poverty threshold,36.945786359,5.419573139,1.453857778,0.278202646,0.329907096,1.039104002,Little or no detectable change
|
|||
|
FP-13.2,"FP-13.2. Adolescent males who talked to a parent or guardian about abstinence before age 18 (percent, ages 15-19)",FP,Disability status,2,41.475469377,1.884069282,People without disabilities,35.485479981,3.467235709,1.168801138,0.125940681,42.088314206,2.707006799,People without disabilities,29.392552982,4.673003937,1.431938023,0.24558158,0.263136885,0.953423502,Little or no detectable change
|
|||
|
FP-13.2,"FP-13.2. Adolescent males who talked to a parent or guardian about abstinence before age 18 (percent, ages 15-19)",FP,Geographic location,2,42.288435493,3.615096028,Nonmetropolitan,40.931933541,1.819213227,1.033140432,0.099543005,39.773044893,2.582121217,Metropolitan,35.638248676,5.622308643,1.116021308,0.190389336,0.082880876,0.385776681,Little or no detectable change
|
|||
|
FP-13.3,"FP-13.3. Adolescent females who talked to a parent or guardian about birth control before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,55.158284565,2.182697144,"White only, not Hispanic or Latino",46.674905467,4.679669978,1.181754607,0.127378465,55.542743378,3.011920894,"White only, not Hispanic or Latino",45.593310805,7.772428802,1.218221322,0.21792758,0.0364667,0.144466313,Little or no detectable change
|
|||
|
FP-13.3,"FP-13.3. Adolescent females who talked to a parent or guardian about birth control before age 18 (percent, ages 15-19)",FP,Disability status,2,52.638702605,3.13918734,People with disabilities,50.966345111,1.595968467,1.032812977,0.069568119,53.592536615,5.202666049,People with disabilities,49.48407681,2.663161458,1.083025896,0.120213973,0.0502129,0.361523655,Little or no detectable change
|
|||
|
FP-13.3,"FP-13.3. Adolescent females who talked to a parent or guardian about birth control before age 18 (percent, ages 15-19)",FP,Geographic location,2,51.86882037,3.804437888,Nonmetropolitan,50.777203416,1.820619029,1.02149817,0.08339712,59.515098224,6.208644961,Nonmetropolitan,48.890254746,2.710857646,1.217320272,0.14381508,0.195822102,1.177903,Little or no detectable change
|
|||
|
FP-13.4,"FP-13.4. Adolescent males who talked to a parent or guardian about birth control before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,31.789131662,2.00608129,"White only, not Hispanic or Latino",25.498167687,3.026621176,1.246722198,0.167599241,37.895187809,4.113665764,"White only, not Hispanic or Latino",27.284187103,4.917598537,1.38890661,0.292228772,0.142184412,0.422064301,Little or no detectable change
|
|||
|
FP-13.4,"FP-13.4. Adolescent males who talked to a parent or guardian about birth control before age 18 (percent, ages 15-19)",FP,Family income,4,37.7594985,4.88296934,Above 500% of the poverty threshold,29.192938503,3.450022884,1.293446307,0.226591625,49.973745523,6.788924977,Above 500% of the poverty threshold,29.311374757,4.545720157,1.704926703,0.351505158,0.411480396,0.983908451,Little or no detectable change
|
|||
|
FP-13.4,"FP-13.4. Adolescent males who talked to a parent or guardian about birth control before age 18 (percent, ages 15-19)",FP,Disability status,2,31.486511887,1.836719584,People without disabilities,28.654586193,3.400554463,1.098829754,0.145304689,35.51379559,2.295298061,People without disabilities,23.916602525,4.380079375,1.484901359,0.288381977,0.386071605,1.195562574,Little or no detectable change
|
|||
|
FP-13.4,"FP-13.4. Adolescent males who talked to a parent or guardian about birth control before age 18 (percent, ages 15-19)",FP,Geographic location,2,33.185717358,3.120045282,Nonmetropolitan,28.218402155,1.541093387,1.176031059,0.127868258,31.548696495,1.881252882,Metropolitan,28.402445277,4.282846548,1.110773956,0.180116101,-0.065257103,-0.295428934,Little or no detectable change
|
|||
|
FP-13.5,"FP-13.5. Adolescent females who talked to a parent or guardian about HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,54.092552579,3.439395792,"Black or African American only, not Hispanic or Latino",38.869770757,3.29224282,1.391635493,0.147387533,39.907781678,3.475585883,"White only, not Hispanic or Latino",36.400257788,7.136475475,1.096359864,0.235200631,-0.295275629,-1.063806502,Little or no detectable change
|
|||
|
FP-13.5,"FP-13.5. Adolescent females who talked to a parent or guardian about HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Disability status,2,44.987310201,3.841749639,People with disabilities,40.863869295,1.854870035,1.100906766,0.106469185,40.193620561,2.943757015,People without disabilities,31.37032853,4.567889717,1.281262341,0.208837133,0.180355575,0.769398108,Little or no detectable change
|
|||
|
FP-13.5,"FP-13.5. Adolescent females who talked to a parent or guardian about HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Geographic location,2,41.942246013,1.46508247,Metropolitan,36.59066579,3.302929943,1.146255339,0.110946054,42.479496002,8.881610432,Nonmetropolitan,37.143473336,2.466200023,1.143659765,0.250883942,-0.0025956,-0.009462,Little or no detectable change
|
|||
|
FP-13.6,"FP-13.6. Adolescent males who talked to a parent or guardian about HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,45.553321721,2.621013554,"Black or African American only, not Hispanic or Latino",39.374683452,3.043976583,1.156919059,0.111491576,47.334892684,4.563094311,"Black or African American only, not Hispanic or Latino",32.670839089,5.396158399,1.448842271,0.277078658,0.291923212,0.977415021,Little or no detectable change
|
|||
|
FP-13.6,"FP-13.6. Adolescent males who talked to a parent or guardian about HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Family income,4,41.863739571,3.216585059,At 100%-199% of the poverty threshold,36.593722038,3.707899891,1.144014253,0.145476801,45.327595751,6.318997074,Above 500% of the poverty threshold,34.599737424,4.606134729,1.310056062,0.252528388,0.166041809,0.569739653,Little or no detectable change
|
|||
|
FP-13.6,"FP-13.6. Adolescent males who talked to a parent or guardian about HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Disability status,2,40.058786762,3.023513556,People with disabilities,38.062271154,1.702002692,1.052453927,0.09233032,36.225254334,2.687528085,People without disabilities,30.813563845,5.007893111,1.175626893,0.210031518,0.123172966,0.536865119,Little or no detectable change
|
|||
|
FP-13.6,"FP-13.6. Adolescent males who talked to a parent or guardian about HIV/AIDS prevention before age 18 (percent, ages 15-19)",FP,Geographic location,2,40.735193192,3.891340969,Nonmetropolitan,37.111006855,1.520627595,1.09765799,0.114095774,41.046070043,5.064431735,Nonmetropolitan,33.98620831,2.57644749,1.207727254,0.174893663,0.110069264,0.527102087,Little or no detectable change
|
|||
|
FP-13.7,"FP-13.7. Adolescent females who talked to a parent or guardian about STDs before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,64.192539049,2.810526774,"Black or African American only, not Hispanic or Latino",52.948781795,3.364968353,1.212351576,0.093561098,56.767520996,3.682276083,"White only, not Hispanic or Latino",52.343057909,7.425402668,1.084528174,0.169172258,-0.127823402,-0.66119839,Little or no detectable change
|
|||
|
FP-13.7,"FP-13.7. Adolescent females who talked to a parent or guardian about STDs before age 18 (percent, ages 15-19)",FP,Disability status,2,58.001198139,3.354656269,People with disabilities,53.927641515,2.012330375,1.075537452,0.074029781,55.706271573,3.15875752,People without disabilities,50.681737402,5.159989441,1.099138949,0.128090609,0.0236015,0.159529261,Little or no detectable change
|
|||
|
FP-13.7,"FP-13.7. Adolescent females who talked to a parent or guardian about STDs before age 18 (percent, ages 15-19)",FP,Geographic location,2,54.208194714,1.727035689,Metropolitan,53.912717714,3.877936862,1.005480655,0.079100898,66.315249961,7.204812436,Nonmetropolitan,52.279833901,3.055646357,1.268467113,0.156489297,0.262986458,1.499823381,Little or no detectable change
|
|||
|
FP-13.8,"FP-13.8. Adolescent males who talked to a parent or guardian about STDs before age 18 (percent, ages 15-19)",FP,Race and ethnicity,3,61.633759263,2.293264702,"Black or African American only, not Hispanic or Latino",46.893298707,3.121581159,1.314340449,0.100232527,58.172146553,4.457924889,"Black or African American only, not Hispanic or Latino",47.966526246,6.004289152,1.212765466,0.177999353,-0.101574983,-0.497234039,Little or no detectable change
|
|||
|
FP-13.8,"FP-13.8. Adolescent males who talked to a parent or guardian about STDs before age 18 (percent, ages 15-19)",FP,Family income,4,56.167140512,3.468262078,Above 500% of the poverty threshold,48.342241028,3.737154925,1.161864641,0.114955228,68.553753311,5.924653546,Above 500% of the poverty threshold,47.057373869,5.32330055,1.456812135,0.207389734,0.294947494,1.243881997,Little or no detectable change
|
|||
|
FP-13.8,"FP-13.8. Adolescent males who talked to a parent or guardian about STDs before age 18 (percent, ages 15-19)",FP,Disability status,2,50.076668939,1.727531329,People without disabilities,49.187166342,3.583688468,1.018084038,0.082070524,51.349269327,2.887066253,People without disabilities,48.233391141,4.966303055,1.064600023,0.124893215,0.046516,0.311257677,Little or no detectable change
|
|||
|
FP-13.8,"FP-13.8. Adolescent males who talked to a parent or guardian about STDs before age 18 (percent, ages 15-19)",FP,Geographic location,2,49.168872533,3.111167948,Nonmetropolitan,47.817406392,1.801386309,1.028263058,0.075721914,57.910862393,6.195276623,Nonmetropolitan,49.433893797,2.532122138,1.1714809,0.138949449,0.143217842,0.905051709,Little or no detectable change
|
|||
|
FP-16.1,"FP-16.1. Females at risk of unintended pregnancy using effective contraception (percent, ages 20-44)",FP,Race and ethnicity,3,65.130349696,1.14899526,"White only, not Hispanic or Latino",57.632292395,2.267500917,1.130101667,0.0487281,62.859743483,2.021867951,"White only, not Hispanic or Latino",58.463247252,3.956122187,1.075201027,0.080558331,-0.054901,-0.583123656,Little or no detectable change
|
|||
|
FP-16.1,"FP-16.1. Females at risk of unintended pregnancy using effective contraception (percent, ages 20-44)",FP,Educational attainment,6,67.421789963,2.635975661,Associates degree,61.946443338,2.453022544,1.088388394,0.0605661,68.843393344,2.759476299,High school graduate,61.200874444,3.915173823,1.124875976,0.084920019,0.0364876,0.349814121,Little or no detectable change
|
|||
|
FP-16.1,"FP-16.1. Females at risk of unintended pregnancy using effective contraception (percent, ages 20-44)",FP,Family income,5,63.187423118,1.427370227,At 200%-399% of the poverty threshold,60.773410801,2.605448666,1.039721521,0.0503836,63.52301793,2.25824837,At 200%-399% of the poverty threshold,58.929924571,4.037066113,1.077941613,0.083196633,0.0382201,0.392954105,Little or no detectable change
|
|||
|
FP-16.1,"FP-16.1. Females at risk of unintended pregnancy using effective contraception (percent, ages 20-44)",FP,Disability status,2,61.741115255,0.919361671,People without disabilities,58.413849401,1.627290177,1.056960222,0.0333871,60.434630325,1.5805734,People without disabilities,59.408382852,3.56981699,1.017274456,0.066666367,-0.039686,-0.532270366,Little or no detectable change
|
|||
|
FP-16.1,"FP-16.1. Females at risk of unintended pregnancy using effective contraception (percent, ages 20-44)",FP,Geographic location,2,67.392075262,1.932534489,Nonmetropolitan,60.070904507,0.860885902,1.121875487,0.0359647,71.019007325,2.189670906,Nonmetropolitan,58.257567262,1.523019786,1.219052059,0.0492786,0.097176572,1.592879384,Little or no detectable change
|
|||
|
FP-16.2,"FP-16.2. Females at risk of unintended pregnancy using effective contraception (percent, ages 15-19)",FP,Disability status,2,47.566529815,3.025485625,People without disabilities,39.444033099,4.205146145,1.205924599,0.149706825,68.274086775,6.516204057,People with disabilities,50.560321165,4.828149086,1.350349151,0.182312278,0.144424552,0.612221863,Little or no detectable change
|
|||
|
FS-1.1,"FS-1.1. Campylobacter (italics) species infections transmitted commonly through food (per 100,000 population)",FS,Sex,2,11.276699105,,Female,14.184482236,,1.25785765,,11.090134993,,Female,13.425301219,,1.210562471,,-0.047295,,Little or no detectable change
|
|||
|
FS-1.2,"FS-1.2. Escherichia coli (italics) O157:H7 infections commonly transmitted through food (per 100,000 population)",FS,Sex,2,1.184748464,,Male,1.211333436,,1.022439338,,0.794299615,,Male,0.928127394,,1.168485263,,0.146045925,,Increase
|
|||
|
FS-1.3,"FS-1.3. Listeria monocytogenes (italics) infections commonly transmitted through food (per 100,000 population)",FS,Sex,2,0.249653978,,Male,0.323212936,,1.294643643,,0.307074593,,Male,0.31990774,,1.041791627,,-0.252852016,,Decrease
|
|||
|
FS-1.4,"FS-1.4. Salmonella (italics) species infections commonly transmitted through food (per 100,000 population)",FS,Sex,2,14.688221919,,Male,15.202449142,,1.035009494,,14.014884438,,Male,14.980371093,,1.06889009,,0.0338806,,Little or no detectable change
|
|||
|
FS-1.5,"FS-1.5. Postdiarrheal hemolytic uremic syndrome in children under age 5 years (per 100,000 population)",FS,Sex,2,1.71,,Male,2.34,,1.368421053,,1.245045755,,Female,1.325284439,,1.064446373,,-0.303974679,,Decrease
|
|||
|
FS-1.6,"FS-1.6. Vibrio (italics) species infections transmitted commonly through food (per 100,000 population)",FS,Sex,2,0.177338071,,Female,0.410673408,,2.315765621,,0.387048871,,Female,0.56911158,,1.470386875,,-0.845378746,,Decrease
|
|||
|
FS-1.7,"FS-1.7. Yersinia (italics) species infections transmitted through food (per 100,000 population)",FS,Sex,2,0.346095267,,Female,0.367833376,,1.06280961,,0.401244135,,Male,0.576623828,,1.437089735,,0.374280125,,Increase
|
|||
|
FS-4,"FS-4. Severe allergic reaction to foods among adults with food allergies (percent, ages 18 and over)",FS,Sex,2,27.9,4.7,Male,30,2.7,1.075268817,0.205368916,22.47,3.93,Male,23.81,2.89,1.059635069,0.225586522,-0.015634,-0.051247,Little or no detectable change
|
|||
|
FS-5.1,"FS-5.1. Consumers who wash hands and surfaces often during food preparation (percent, ages 18 and over)",FS,Sex,2,72.78061,0.5279,Female,60.73677,0.84965,1.198295695,0.0188823,73.7406,0.62283,Female,65.2186,0.75901,1.130668245,0.0162589,-0.06762745,-2.714029438,Decrease
|
|||
|
FS-5.1,"FS-5.1. Consumers who wash hands and surfaces often during food preparation (percent, ages 18 and over)",FS,Race and ethnicity,5,77.22947,2.86591,Two or more races,66.8600025,2.269847376,1.155092239,0.0580959,73.4416,1.26325,"Black or African American only, not Hispanic or Latino",67.1902,2.526173729,1.093040354,0.045192,-0.062052,-0.843058439,Little or no detectable change
|
|||
|
FS-5.1,"FS-5.1. Consumers who wash hands and surfaces often during food preparation (percent, ages 18 and over)",FS,Educational attainment,5,72.3855,1.64116,Less than high school,65.8895375,1.18910198,1.09858868,0.0318351,70.4637,0.98032,4-year college degree,69.50835,1.583589876,1.013744392,0.0270616,-0.084844288,-2.030603269,Decrease
|
|||
|
FS-5.1,"FS-5.1. Consumers who wash hands and surfaces often during food preparation (percent, ages 18 and over)",FS,Family income,5,74.9757,2.3291,Below the poverty threshold (<100%),66.06167,1.291591398,1.134934978,0.041658,73.5467,1.43168,Below the poverty threshold (<100%),69.235875,1.361225431,1.06226288,0.0293899,-0.072672098,-1.42544819,Little or no detectable change
|
|||
|
FS-5.2,"FS-5.2. Consumers who separate (don’t cross-contaminate) foods during food preparation (percent, ages 18 and over)",FS,Sex,2,92.52851,0.49652,Female,83.86748,0.92908,1.103270421,0.0135804,91.6745,0.60864,Female,83.1924,0.89988,1.101957631,0.0139859,-0.0013128,-0.067342008,Little or no detectable change
|
|||
|
FS-5.2,"FS-5.2. Consumers who separate (don’t cross-contaminate) foods during food preparation (percent, ages 18 and over)",FS,Race and ethnicity,5,92.92885,2.80354,Two or more races,87.2786225,2.425036147,1.064737817,0.0436692,89.7543,0.61298,"White only, not Hispanic or Latino",81.8622,3.52758025,1.096407133,0.0478357,0.0316693,0.488944155,Little or no detectable change
|
|||
|
FS-5.2,"FS-5.2. Consumers who separate (don’t cross-contaminate) foods during food preparation (percent, ages 18 and over)",FS,Educational attainment,5,90.00129,1.78946,Less than high school,88.1865925,1.216594876,1.02057793,0.024698,90.906,0.92903,4-year college degree,86.7109,1.870681579,1.048380307,0.0250269,0.0278024,0.790704207,Little or no detectable change
|
|||
|
FS-5.2,"FS-5.2. Consumers who separate (don’t cross-contaminate) foods during food preparation (percent, ages 18 and over)",FS,Family income,5,90.79518,2.86192,Below the poverty threshold (<100%),87.9304975,1.326978013,1.032578941,0.0360856,92.6447,1.16264,At 400%-599% of the poverty threshold,87.2716,1.593445673,1.061567566,0.0235194,0.0289886,0.673002996,Little or no detectable change
|
|||
|
FS-5.3,"FS-5.3. Consumers who cook food to proper temperatures (percent, ages 18 and over)",FS,Sex,2,40.90406,1.04036,Male,33.45571,0.74694,1.222633147,0.0413777,42.5292,0.99294,Male,41.6573,0.92608,1.020930305,0.0329131,-0.201702842,-3.814970712,Decrease
|
|||
|
FS-5.3,"FS-5.3. Consumers who cook food to proper temperatures (percent, ages 18 and over)",FS,Race and ethnicity,5,49.80181,4.68137,Two or more races,33.92505,3.252898457,1.467995184,0.197115759,51.6957,4.34686,Two or more races,34.562575,2.889408654,1.49571321,0.177349118,0.027718,0.104535066,Little or no detectable change
|
|||
|
FS-5.3,"FS-5.3. Consumers who cook food to proper temperatures (percent, ages 18 and over)",FS,Educational attainment,5,42.48793,1.5755,Advanced degree,36.2733025,1.870674411,1.171327866,0.07440141,46.7944,1.51201,Advanced degree,39.2133,2.078898579,1.193329814,0.074088924,0.0220019,0.209544852,Little or no detectable change
|
|||
|
FS-5.3,"FS-5.3. Consumers who cook food to proper temperatures (percent, ages 18 and over)",FS,Family income,5,43.08421,1.57386,At 400%-599% of the poverty threshold,37.2454875,2.878600329,1.156763219,0.098886311,48.8819,1.61651,At or above 600% of the poverty threshold,40.839925,2.025791511,1.196914539,0.071355425,0.0401513,0.329262976,Little or no detectable change
|
|||
|
FS-5.4,"FS-5.4. Consumers who refrigerate foods promptly (percent, ages 18 and over)",FS,Sex,2,88.5098,0.59328,Female,87.53488,0.81414,1.011137503,0.0115922,86.3917,0.73179,Female,85.759,0.81837,1.007377651,0.012854,-0.0037599,-0.217218941,Little or no detectable change
|
|||
|
FS-5.4,"FS-5.4. Consumers who refrigerate foods promptly (percent, ages 18 and over)",FS,Race and ethnicity,5,91.68916,0.49458,"White only, not Hispanic or Latino",79.955965,3.608986746,1.146745712,0.0521292,90.4919,0.58522,"White only, not Hispanic or Latino",78.255525,3.325631783,1.156364359,0.0497079,0.0096186,0.13353666,Little or no detectable change
|
|||
|
FS-5.4,"FS-5.4. Consumers who refrigerate foods promptly (percent, ages 18 and over)",FS,Educational attainment,5,91.57362,0.8442,4-year college degree,87.46938,1.535352626,1.04692202,0.0207569,88.2315,0.98089,Some college,84.3786,1.866851578,1.045662052,0.0258914,-0.00126,-0.037969,Little or no detectable change
|
|||
|
FS-5.4,"FS-5.4. Consumers who refrigerate foods promptly (percent, ages 18 and over)",FS,Family income,5,90.56427,1.15498,At 400%-599% of the poverty threshold,85.71279,2.351707362,1.056601588,0.0319687,89.5708,1.36762,At 400%-599% of the poverty threshold,85.39705,1.607635206,1.048874639,0.0254236,-0.0077269,-0.189174825,Little or no detectable change
|
|||
|
HC/HIT-1.1,"HC/HIT-1.1. Persons whose health care provider gives easy-to-understand instructions (percent, ages 18 and over)",HC/HIT,Sex,2,64.233735833,0.697991759,Female,64.00338415,0.827026155,1.003599055,0.0169441,70.684656008,0.756165601,Female,67.246362157,0.981843777,1.051129812,0.0190258,0.0475308,1.865625396,Little or no detectable change
|
|||
|
HC/HIT-1.1,"HC/HIT-1.1. Persons whose health care provider gives easy-to-understand instructions (percent, ages 18 and over)",HC/HIT,Race and ethnicity,6,65.350355589,0.660628671,"White only, not Hispanic or Latino",61.038886382,4.87846336,1.070634795,0.086251018,70.807647128,3.107929224,Two or more races,64.728160892,5.044373546,1.093923358,0.097842881,0.0232886,0.178549668,Little or no detectable change
|
|||
|
HC/HIT-1.1,"HC/HIT-1.1. Persons whose health care provider gives easy-to-understand instructions (percent, ages 18 and over)",HC/HIT,Educational attainment,5,68.03316918,1.756230255,Advanced degree,62.710875529,1.549134656,1.084870345,0.038762,71.629724493,1.763185901,Advanced degree,67.360506183,1.781592746,1.063378655,0.0384208,-0.021492,-0.393786129,Little or no detectable change
|
|||
|
HC/HIT-1.1,"HC/HIT-1.1. Persons whose health care provider gives easy-to-understand instructions (percent, ages 18 and over)",HC/HIT,Family income,5,70.531258088,1.374925308,At or above 600% of the poverty threshold,61.156126449,1.478317396,1.153298323,0.0358143,72.118250215,1.285726117,At or above 600% of the poverty threshold,67.361047777,1.812904742,1.070622453,0.0345624,-0.08267587,-1.661102645,Little or no detectable change
|
|||
|
HC/HIT-1.1,"HC/HIT-1.1. Persons whose health care provider gives easy-to-understand instructions (percent, ages 18 and over)",HC/HIT,Disability status,2,66.63544628,0.597531603,People with neither basic nor complex activity limitations,53.988559912,1.333501266,1.234251226,0.0324325,72.07738977,0.717247654,People with neither basic nor complex activity limitations,60.011477366,1.435748164,1.201060079,0.0311213,-0.033191,-0.7384191,Little or no detectable change
|
|||
|
HC/HIT-1.1,"HC/HIT-1.1. Persons whose health care provider gives easy-to-understand instructions (percent, ages 18 and over)",HC/HIT,Geographic location,2,64.145886421,0.593727925,Metropolitan,64.076539953,1.475802119,1.001082244,0.024849,69.853780048,2.238122497,Nonmetropolitan,69.090844529,0.736432144,1.011042498,0.0341394,0.0099603,0.235883741,Little or no detectable change
|
|||
|
HC/HIT-1.2,"HC/HIT-1.2. Persons whose health care provider asks how instructions will be followed (percent, ages 18 and over)",HC/HIT,Sex,2,26.070317266,0.750394268,Male,23.223438437,0.639082105,1.122586448,0.0447034,31.546091681,1.057431538,Male,29.70561267,0.820901239,1.061957282,0.0461343,-0.060629,-0.943792149,Little or no detectable change
|
|||
|
HC/HIT-1.2,"HC/HIT-1.2. Persons whose health care provider asks how instructions will be followed (percent, ages 18 and over)",HC/HIT,Race and ethnicity,6,34.753052184,1.075487758,"Black or African American only, not Hispanic or Latino",26.387998061,3.551868466,1.317002226,0.181895593,40.777286548,1.644705068,"Black or African American only, not Hispanic or Latino",33.262799435,3.911213342,1.225912648,0.152393822,-0.091089578,-0.383863106,Little or no detectable change
|
|||
|
HC/HIT-1.2,"HC/HIT-1.2. Persons whose health care provider asks how instructions will be followed (percent, ages 18 and over)",HC/HIT,Educational attainment,5,39.066293653,1.776649705,Less than high school,22.160260385,1.24207993,1.762898674,0.127244419,41.013927778,1.854132183,Less than high school,28.791490749,1.660510218,1.424515602,0.104388484,-0.338383072,-2.055982317,Decrease
|
|||
|
HC/HIT-1.2,"HC/HIT-1.2. Persons whose health care provider asks how instructions will be followed (percent, ages 18 and over)",HC/HIT,Family income,5,29.643185246,1.472897482,Below the poverty threshold (<100%),23.970139956,1.446948922,1.236671346,0.096687957,36.603529284,1.819430539,Below the poverty threshold (<100%),30.520719782,1.684397271,1.199300985,0.08907598,-0.03737,-0.284260548,Little or no detectable change
|
|||
|
HC/HIT-1.2,"HC/HIT-1.2. Persons whose health care provider asks how instructions will be followed (percent, ages 18 and over)",HC/HIT,Disability status,2,24.564864279,0.596919777,People with neither basic nor complex activity limitations,24.30795845,1.013054052,1.010568795,0.0487525,31.279627398,0.836127943,People with neither basic nor complex activity limitations,27.649282822,1.054094199,1.131299774,0.0526748,0.120730979,1.682110542,Little or no detectable change
|
|||
|
HC/HIT-1.2,"HC/HIT-1.2. Persons whose health care provider asks how instructions will be followed (percent, ages 18 and over)",HC/HIT,Geographic location,2,25.02685896,0.597909743,Metropolitan,21.381144797,1.507181449,1.170510709,0.087120669,30.526441351,0.771165847,Metropolitan,30.366212964,1.277866774,1.005276535,0.0493412,-0.165234174,-1.650316045,Little or no detectable change
|
|||
|
HC/HIT-1.3,"HC/HIT-1.3. Persons whose health care provider offers help in filling out forms (percent, ages 18 and over)",HC/HIT,Sex,2,16.304272486,0.816785702,Male,13.696783268,0.583562549,1.190372379,0.078283674,19.141407117,1.009872506,Male,16.77280156,0.786189431,1.14121705,0.080538954,-0.049155,-0.437652533,Little or no detectable change
|
|||
|
HC/HIT-1.3,"HC/HIT-1.3. Persons whose health care provider offers help in filling out forms (percent, ages 18 and over)",HC/HIT,Race and ethnicity,5,19.253891951,2.409017807,Asian only,15.342896451,2.354646074,1.254905944,0.248481236,22.915578402,1.465300369,Hispanic or Latino,16.23035673,2.317207398,1.411896164,0.220870486,0.15699022,0.472214156,Little or no detectable change
|
|||
|
HC/HIT-1.3,"HC/HIT-1.3. Persons whose health care provider offers help in filling out forms (percent, ages 18 and over)",HC/HIT,Educational attainment,5,20.798203322,1.46776452,Less than high school,13.643058472,1.260099385,1.52445314,0.177198206,25.439179248,1.856156831,Less than high school,16.888507097,1.522769241,1.506301244,0.17471618,-0.018152,-0.072943931,Little or no detectable change
|
|||
|
HC/HIT-1.3,"HC/HIT-1.3. Persons whose health care provider offers help in filling out forms (percent, ages 18 and over)",HC/HIT,Family income,5,17.153747116,1.231265374,At 100%-199% of the poverty threshold,14.601459817,1.233925814,1.174796721,0.130257084,19.159751911,1.197360362,At 200%-399% of the poverty threshold,17.876269947,1.622059535,1.071798086,0.118086911,-0.102998635,-0.585830457,Little or no detectable change
|
|||
|
HC/HIT-1.3,"HC/HIT-1.3. Persons whose health care provider offers help in filling out forms (percent, ages 18 and over)",HC/HIT,Disability status,2,14.888725844,0.58181183,People with neither basic nor complex activity limitations,14.293708816,0.989876858,1.041627896,0.0828272,18.413326067,0.811553983,People with neither basic nor complex activity limitations,15.4423973,1.057565524,1.192387795,0.097109531,0.150759899,1.181183073,Little or no detectable change
|
|||
|
HC/HIT-1.3,"HC/HIT-1.3. Persons whose health care provider offers help in filling out forms (percent, ages 18 and over)",HC/HIT,Geographic location,2,17.349557377,1.534884789,Nonmetropolitan,14.292760154,0.558571074,1.213870322,0.117400342,17.91640338,0.764896421,Metropolitan,16.875053178,1.468618236,1.061709447,0.102918426,-0.152160875,-0.974608747,Little or no detectable change
|
|||
|
HC/HIT-2.1,"HC/HIT-2.1. Persons reporting that their health provider always listened carefully to them (percent, ages 18 and over)",HC/HIT,Sex,2,61,0.7584,Male,57,0.7076,1.070175439,0.0188023,66.7446,0.79841,Male,66.2607,0.70853,1.007302971,0.016162,-0.062872467,-2.535808289,Decrease
|
|||
|
HC/HIT-2.1,"HC/HIT-2.1. Persons reporting that their health provider always listened carefully to them (percent, ages 18 and over)",HC/HIT,Race and ethnicity,6,73,6.5899,American Indian or Alaska Native only,55.6,2.756029448,1.31294964,0.135216069,69.1999,1.14436,"Black or African American only, not Hispanic or Latino",61.48788,3.698343187,1.125423417,0.070203301,-0.187526224,-1.230854642,Little or no detectable change
|
|||
|
HC/HIT-2.1,"HC/HIT-2.1. Persons reporting that their health provider always listened carefully to them (percent, ages 18 and over)",HC/HIT,Educational attainment,5,64.18848,1.0661565,High school graduate,62.856041,1.623920459,1.021198265,0.0313653,67.476,1.01554,High school graduate,65.224025,1.560154334,1.034526771,0.0292366,0.0133285,0.31084402,Little or no detectable change
|
|||
|
HC/HIT-2.1,"HC/HIT-2.1. Persons reporting that their health provider always listened carefully to them (percent, ages 18 and over)",HC/HIT,Family income,5,68.546215,1.2694111,At or above 600% of the poverty threshold,60.86843025,1.415103403,1.126137387,0.0334721,69.0602,1.57539,At 400%-599% of the poverty threshold,64.723575,1.527179948,1.067002248,0.0350185,-0.059135,-1.220727826,Little or no detectable change
|
|||
|
HC/HIT-2.1,"HC/HIT-2.1. Persons reporting that their health provider always listened carefully to them (percent, ages 18 and over)",HC/HIT,Geographic location,2,60,1.4362,Nonmetropolitan,59,0.6321,1.016949153,0.0266694,67.299,1.60199,Nonmetropolitan,66.3364,0.63843,1.014510887,0.0260486,-0.0024383,-0.065404449,Little or no detectable change
|
|||
|
HC/HIT-2.2,"HC/HIT-2.2. Persons reporting that their health provider always explained things so they can understand (percent, ages 18 and over)",HC/HIT,Sex,2,60,0.6911,Female,60,0.8097,1,0.0177422,68.3213,0.75226,Female,65.5522,0.83736,1.042242671,0.0175768,0.0422427,1.691425948,Little or no detectable change
|
|||
|
HC/HIT-2.2,"HC/HIT-2.2. Persons reporting that their health provider always explained things so they can understand (percent, ages 18 and over)",HC/HIT,Race and ethnicity,6,75,5.4304,American Indian or Alaska Native only,57.6,2.754987666,1.302083333,0.112990583,68.7458,1.21255,"Black or African American only, not Hispanic or Latino",63.74138,3.841166584,1.078511322,0.067719712,-0.223572011,-1.697197026,Little or no detectable change
|
|||
|
HC/HIT-2.2,"HC/HIT-2.2. Persons reporting that their health provider always explained things so they can understand (percent, ages 18 and over)",HC/HIT,Educational attainment,5,63.681898,1.2391224,4-year college degree,61.37723275,1.571846457,1.037549188,0.0333708,69.3954,1.49492,Advanced degree,65.721325,1.450882976,1.055903849,0.0325695,0.0183547,0.393621025,Little or no detectable change
|
|||
|
HC/HIT-2.2,"HC/HIT-2.2. Persons reporting that their health provider always explained things so they can understand (percent, ages 18 and over)",HC/HIT,Family income,5,67.116571,1.2718232,At or above 600% of the poverty threshold,59.9381005,1.394174094,1.119764731,0.0335952,70.111,1.4045,At 400%-599% of the poverty threshold,65.413675,1.547009479,1.071809526,0.0332193,-0.047955,-1.015016704,Little or no detectable change
|
|||
|
HC/HIT-2.2,"HC/HIT-2.2. Persons reporting that their health provider always explained things so they can understand (percent, ages 18 and over)",HC/HIT,Geographic location,2,60,0.6171,Metropolitan,60,1.4204,1,0.025811,67.1918,0.67522,Metropolitan,66.6951,1.53597,1.007447324,0.0253139,0.00744732,0.205997702,Little or no detectable change
|
|||
|
HC/HIT-2.3,"HC/HIT-2.3. Persons reporting that their health provider always showed respect for what they had to say (percent, ages 18 and over)",HC/HIT,Sex,2,62,0.706,Female,62,0.7732,1,0.0168876,71.2015,0.78646,Male,70.8786,0.71923,1.004555677,0.0150674,0.00455568,0.201291436,Little or no detectable change
|
|||
|
HC/HIT-2.3,"HC/HIT-2.3. Persons reporting that their health provider always showed respect for what they had to say (percent, ages 18 and over)",HC/HIT,Race and ethnicity,6,76,5.3192,American Indian or Alaska Native only,61,2.818112119,1.245901639,0.10448379,74.3871,1.09937,"Black or African American only, not Hispanic or Latino",66.5697,3.711968542,1.117431805,0.064460108,-0.128469835,-1.046444461,Little or no detectable change
|
|||
|
HC/HIT-2.3,"HC/HIT-2.3. Persons reporting that their health provider always showed respect for what they had to say (percent, ages 18 and over)",HC/HIT,Educational attainment,5,68.62629,1.1689276,4-year college degree,65.6911,1.524437692,1.0446817,0.0300726,74.2538,1.40373,Advanced degree,69.469675,1.315797138,1.068866379,0.0286034,0.0241847,0.582717927,Little or no detectable change
|
|||
|
HC/HIT-2.3,"HC/HIT-2.3. Persons reporting that their health provider always showed respect for what they had to say (percent, ages 18 and over)",HC/HIT,Family income,5,71.16987,1.2084827,At or above 600% of the poverty threshold,64.08711275,1.367881148,1.110517652,0.0302888,74.2401,1.05058,At or above 600% of the poverty threshold,68.9934,1.519159604,1.076046404,0.0281646,-0.034471,-0.83344192,Little or no detectable change
|
|||
|
HC/HIT-2.3,"HC/HIT-2.3. Persons reporting that their health provider always showed respect for what they had to say (percent, ages 18 and over)",HC/HIT,Geographic location,2,63,1.3549,Nonmetropolitan,62,0.642,1.016129032,0.0242543,71.2681,0.59576,Metropolitan,69.4636,1.51278,1.025977634,0.0239333,0.0098486,0.289031088,Little or no detectable change
|
|||
|
HC/HIT-2.4,"HC/HIT-2.4. Persons reporting that their health provider always spent enough time with them (percent, ages 18 and over)",HC/HIT,Sex,2,50,0.8457,Male,48,0.693,1.041666667,0.0231645,59.0441,0.8388,Male,58.7673,0.7536,1.004710102,0.0192281,-0.036957,-1.227587556,Little or no detectable change
|
|||
|
HC/HIT-2.4,"HC/HIT-2.4. Persons reporting that their health provider always spent enough time with them (percent, ages 18 and over)",HC/HIT,Race and ethnicity,6,66,6.5493,American Indian or Alaska Native only,45.8,2.927194399,1.441048035,0.170091086,60.2946,1.372,"Black or African American only, not Hispanic or Latino",55.21538,3.520141453,1.091989225,0.073919053,-0.34905881,-1.882135657,Little or no detectable change
|
|||
|
HC/HIT-2.4,"HC/HIT-2.4. Persons reporting that their health provider always spent enough time with them (percent, ages 18 and over)",HC/HIT,Educational attainment,5,53.95544,1.2118173,4-year college degree,53.16793075,1.631726406,1.014811734,0.0385937,59.6431,1.544,Advanced degree,58.121225,1.449147808,1.026184496,0.036883,0.0113728,0.213037747,Little or no detectable change
|
|||
|
HC/HIT-2.4,"HC/HIT-2.4. Persons reporting that their health provider always spent enough time with them (percent, ages 18 and over)",HC/HIT,Family income,5,56.4588,1.3246955,At or above 600% of the poverty threshold,51.12790575,1.503142581,1.104265844,0.0415365,60.5742,1.4096,At 400%-599% of the poverty threshold,57.7925,1.503466408,1.048132543,0.0365841,-0.056133,-1.01414275,Little or no detectable change
|
|||
|
HC/HIT-2.4,"HC/HIT-2.4. Persons reporting that their health provider always spent enough time with them (percent, ages 18 and over)",HC/HIT,Geographic location,2,50,1.4582,Nonmetropolitan,48,0.6383,1.041666667,0.0333882,61.6554,1.6113,Nonmetropolitan,58.4432,0.6908,1.054962767,0.0302592,0.0132961,0.295076507,Little or no detectable change
|
|||
|
HC/HIT-3,"HC/HIT-3. Persons reporting that their health care provider always involved them in health care decisions (percent, ages 18 and over)",HC/HIT,Sex,2,52.93,1.07,Male,50.05,1.4,1.057542458,0.0364982,53.015830904,1.989173995,Female,52.849192472,3.278709213,1.003153093,0.072731103,-0.054389,-0.668377282,Little or no detectable change
|
|||
|
HC/HIT-3,"HC/HIT-3. Persons reporting that their health care provider always involved them in health care decisions (percent, ages 18 and over)",HC/HIT,Race and ethnicity,4,58.31,6.58,Two or more races,51.856666667,2.861267202,1.124445587,0.141244272,56.645074045,3.661655991,"Black or African American only, not Hispanic or Latino",51.521993105,6.241303544,1.099434836,0.150959918,-0.025011,-0.120980497,Little or no detectable change
|
|||
|
HC/HIT-3,"HC/HIT-3. Persons reporting that their health care provider always involved them in health care decisions (percent, ages 18 and over)",HC/HIT,Educational attainment,5,54.34,1.44,4-year college degree,52.16,2.678961241,1.041794479,0.0602094,55.084533686,2.854298466,4-year college degree,52.61708452,5.16019412,1.046894449,0.116119573,0.00509997,0.0389903,Little or no detectable change
|
|||
|
HC/HIT-3,"HC/HIT-3. Persons reporting that their health care provider always involved them in health care decisions (percent, ages 18 and over)",HC/HIT,Family income,5,53.53,1.5,"More than $75,000 income",50.205,2.867071677,1.066228463,0.067824677,56.314849972,2.474765093,"More than $75,000 income",51.003312974,5.363129464,1.104141019,0.125834492,0.0379126,0.265216775,Little or no detectable change
|
|||
|
HC/HIT-3,"HC/HIT-3. Persons reporting that their health care provider always involved them in health care decisions (percent, ages 18 and over)",HC/HIT,Geographic location,2,51.69,1.05,Metropolitan,51.39,1.99,1.005837712,0.0439833,53.141036532,4.375002904,Nonmetropolitan,52.746092757,1.960183376,1.00748764,0.091003432,0.00164993,0.0163238,Little or no detectable change
|
|||
|
HC/HIT-5.1,"HC/HIT-5.1. Persons using the Internet to keep track of personal health information (percent, ages 18 and over)",HC/HIT,Sex,2,15.38,1.14,Female,13.36,1.12,1.151197605,0.128820845,30.997993795,1.63787724,Female,25.331880717,2.434445073,1.223675184,0.134200249,0.072477579,0.389616447,Little or no detectable change
|
|||
|
HC/HIT-5.1,"HC/HIT-5.1. Persons using the Internet to keep track of personal health information (percent, ages 18 and over)",HC/HIT,Race and ethnicity,3,18.58,3.69,Hispanic or Latino,13.755,2.88882329,1.350781534,0.390444943,31.056164957,5.46001106,"Black or African American only, not Hispanic or Latino",27.819952314,4.152616012,1.116327038,0.257458654,-0.234454496,-0.501305182,Little or no detectable change
|
|||
|
HC/HIT-5.1,"HC/HIT-5.1. Persons using the Internet to keep track of personal health information (percent, ages 18 and over)",HC/HIT,Family income,5,18.07,2.93,"More than $35,000 and less than $50,000 income",12.56,1.890052909,1.438694268,0.318262209,36.680614204,3.093367296,"More than $75,000 income",23.465325365,4.004049929,1.563183703,0.297534733,0.124489436,0.285735425,Little or no detectable change
|
|||
|
HC/HIT-5.1,"HC/HIT-5.1. Persons using the Internet to keep track of personal health information (percent, ages 18 and over)",HC/HIT,Geographic location,2,14.81,0.87,Metropolitan,11.17,1.61,1.325872874,0.206368514,30.359493279,1.799602069,Metropolitan,17.036155162,2.48985854,1.782062501,0.281057507,0.456189627,1.308314156,Little or no detectable change
|
|||
|
HC/HIT-5.2,"HC/HIT-5.2. Persons using the Internet to communicate with their health care provider (percent, ages 18 and over)",HC/HIT,Sex,2,13.67,1.07,Female,13.58,0.9,1.006627393,0.103241843,31.870963446,2.08982954,Female,27.582433481,2.262707711,1.155480479,0.12134895,0.148853086,0.934273428,Little or no detectable change
|
|||
|
HC/HIT-5.2,"HC/HIT-5.2. Persons using the Internet to communicate with their health care provider (percent, ages 18 and over)",HC/HIT,Race and ethnicity,3,14.15,2.75,Hispanic or Latino,13.425,2.651358143,1.054003724,0.292045385,31.74054846,5.100582808,"Black or African American only, not Hispanic or Latino",29.30001295,4.327702548,1.083294691,0.236444906,0.029291,0.077950952,Little or no detectable change
|
|||
|
HC/HIT-5.2,"HC/HIT-5.2. Persons using the Internet to communicate with their health care provider (percent, ages 18 and over)",HC/HIT,Family income,4,19.74,1.25,"More than $75,000 income",11.936666667,2.695153057,1.653728009,0.387798104,41.140074815,2.959163357,"More than $75,000 income",25.158934841,4.858353909,1.635207336,0.336963421,-0.018521,-0.03605,Little or no detectable change
|
|||
|
HC/HIT-5.2,"HC/HIT-5.2. Persons using the Internet to communicate with their health care provider (percent, ages 18 and over)",HC/HIT,Geographic location,2,14.2,0.76,Metropolitan,10.02,0.99,1.417165669,0.159243169,31.722034013,1.651238514,Metropolitan,19.56445903,2.796809846,1.621411252,0.246674605,0.204245583,0.695635992,Little or no detectable change
|
|||
|
HC/HIT-6.1,"HC/HIT-6.1. Persons with access to the Internet (percent, ages 18 and over)",HC/HIT,Sex,2,70.55,0.62,Male,66.39,1.17,1.062660039,0.0209267,81.910360148,1.047966671,Female,81.396357169,1.343211287,1.006314816,0.0210127,-0.056345,-1.899980553,Little or no detectable change
|
|||
|
HC/HIT-6.1,"HC/HIT-6.1. Persons with access to the Internet (percent, ages 18 and over)",HC/HIT,Race and ethnicity,5,75.05,0.7,"Black or African American only, not Hispanic or Latino",56.9725,4.471364445,1.317302207,0.104113166,86.54494487,0.860330363,"White only, not Hispanic or Latino",81.669281683,4.107818452,1.059700087,0.054332,-0.257602121,-2.193528819,Decrease
|
|||
|
HC/HIT-6.1,"HC/HIT-6.1. Persons with access to the Internet (percent, ages 18 and over)",HC/HIT,Educational attainment,5,93.73,0.63,Advanced degree,59.9525,1.740545891,1.563404362,0.0465894,94.768498131,1.081184267,Advanced degree,73.663498432,3.933702021,1.286505531,0.070250994,-0.276898831,-3.284848288,Decrease
|
|||
|
HC/HIT-6.1,"HC/HIT-6.1. Persons with access to the Internet (percent, ages 18 and over)",HC/HIT,Family income,5,90.51,1.02,"More than $75,000 income",62.4025,2.482283895,1.450422659,0.0599665,94.620824705,0.943275039,"More than $75,000 income",74.27629583,2.92262449,1.273903385,0.0517093,-0.176519274,-2.229278323,Decrease
|
|||
|
HC/HIT-6.1,"HC/HIT-6.1. Persons with access to the Internet (percent, ages 18 and over)",HC/HIT,Geographic location,2,70.88,0.76,Metropolitan,57.64,1.72,1.229701596,0.0389918,81.519813749,0.953606205,Metropolitan,79.174224465,2.380371432,1.029625668,0.0332163,-0.200075928,-3.90606475,Decrease
|
|||
|
HC/HIT-6.2,"HC/HIT-6.2. Persons with broadband Internet access (percent, ages 18 and over)",HC/HIT,Sex,2,79.039778365,2.496443083,Male,72.564820325,1.631992108,1.089229988,0.0422334,63.436769564,2.67858445,Male,48.439885903,2.174879122,1.309597832,0.080716109,0.220367844,2.419033258,Increase
|
|||
|
HC/HIT-6.2,"HC/HIT-6.2. Persons with broadband Internet access (percent, ages 18 and over)",HC/HIT,Race and ethnicity,4,78.913747826,3.84117213,"Black or African American only, not Hispanic or Latino",73.050784286,6.446490256,1.080258735,0.108869453,64.99667571,7.384855757,Asian only,54.145463899,5.234400284,1.200408511,0.179077962,0.120149776,0.573303393,Little or no detectable change
|
|||
|
HC/HIT-6.2,"HC/HIT-6.2. Persons with broadband Internet access (percent, ages 18 and over)",HC/HIT,Family income,5,81.084341762,1.792382271,"More than $75,000 income",73.40249917,3.84412476,1.104653693,0.062793574,61.126899005,3.577079142,"More than $50,000 and less than $75,000 income",51.100113209,5.028493799,1.196218465,0.136955034,0.091564773,0.607740565,Little or no detectable change
|
|||
|
HC/HIT-6.2,"HC/HIT-6.2. Persons with broadband Internet access (percent, ages 18 and over)",HC/HIT,Geographic location,2,75.68771134,1.486955909,Metropolitan,74.90468551,2.679469662,1.010453629,0.0412381,58.668546269,1.897954967,Metropolitan,40.675779867,3.776271646,1.442345948,0.14180182,0.431892318,2.924584512,Increase
|
|||
|
HC/HIT-6.3,"HC/HIT-6.3. Persons using mobile devices for Internet access (percent, ages 18 and over)",HC/HIT,Sex,2,8.14,0.82,Male,5.13,1.08,1.586744639,0.370324896,61.546139471,2.499935313,Male,52.496670171,2.199323904,1.172381777,0.068411727,-0.414362862,-1.100299772,Little or no detectable change
|
|||
|
HC/HIT-6.3,"HC/HIT-6.3. Persons using mobile devices for Internet access (percent, ages 18 and over)",HC/HIT,Race and ethnicity,3,63.459248581,5.049735037,"Black or African American only, not Hispanic or Latino",50.983471762,6.833598077,1.244702379,0.194020414,65.124528874,5.084648329,"Black or African American only, not Hispanic or Latino",59.090873933,5.176614895,1.102108067,0.129329183,-0.142594311,-0.611536944,Little or no detectable change
|
|||
|
HC/HIT-6.3,"HC/HIT-6.3. Persons using mobile devices for Internet access (percent, ages 18 and over)",HC/HIT,Family income,5,53.348591344,2.992680098,"More than $50,000 and less than $75,000 income",45.443526766,4.796519035,1.173953589,0.14032273,65.556188952,2.282203767,"More than $75,000 income",52.82624121,5.963634553,1.240977731,0.146605832,0.067024142,0.330269431,Little or no detectable change
|
|||
|
HC/HIT-6.3,"HC/HIT-6.3. Persons using mobile devices for Internet access (percent, ages 18 and over)",HC/HIT,Geographic location,2,6.81,0.79,Metropolitan,5.76,1.21,1.182291667,0.28371683,58.657388086,2.10783968,Metropolitan,47.660650758,5.631436179,1.230729903,0.15199573,0.0484382,0.150491773,Little or no detectable change
|
|||
|
HC/HIT-7,"HC/HIT-7. Adults who talk to friends and family members about their health (percent, ages 18 and over)",HC/HIT,Sex,2,84.98,0.87,Male,73.52,0.99,1.155875952,0.0195523,88.881009452,1.192290433,Female,85.253878303,1.939487206,1.042545057,0.0275336,-0.113330895,-3.355991953,Decrease
|
|||
|
HC/HIT-7,"HC/HIT-7. Adults who talk to friends and family members about their health (percent, ages 18 and over)",HC/HIT,Race and ethnicity,5,81.53,0.77,"Black or African American only, not Hispanic or Latino",75.495,3.982817261,1.079939069,0.0578791,90.052188011,2.848703979,Asian only,84.539917559,4.190475964,1.065203168,0.06263624,-0.014736,-0.172787148,Little or no detectable change
|
|||
|
HC/HIT-7,"HC/HIT-7. Adults who talk to friends and family members about their health (percent, ages 18 and over)",HC/HIT,Educational attainment,5,86.6,1.53,4-year college degree,79.65,2.215754198,1.087256748,0.0358303,93.427483928,1.595427286,Advanced degree,86.000770729,3.212779528,1.086356356,0.0446227,-0.00090039,-0.015734,Little or no detectable change
|
|||
|
HC/HIT-7,"HC/HIT-7. Adults who talk to friends and family members about their health (percent, ages 18 and over)",HC/HIT,Family income,5,83.88,1.4,"More than $75,000 income",78.1425,2.460961872,1.073423553,0.0382597,92.670264061,0.993408172,"More than $75,000 income",83.664987086,4.009168758,1.107634953,0.054389,0.0342114,0.514473774,Little or no detectable change
|
|||
|
HC/HIT-7,"HC/HIT-7. Adults who talk to friends and family members about their health (percent, ages 18 and over)",HC/HIT,Geographic location,2,80.14,0.75,Metropolitan,76.9,1.69,1.04213264,0.0248927,87.677184246,2.12172623,Nonmetropolitan,86.813055924,1.285857517,1.009953898,0.0286549,-0.032179,-0.847764727,Little or no detectable change
|
|||
|
HC/HIT-9,"HC/HIT-9. Internet users who can easily access health information (percent, ages 18 and over)",HC/HIT,Sex,2,41.123756863,1.521694504,Female,40.915363908,2.142604493,1.005093269,0.064447439,41.181535815,2.471371142,Female,35.495737037,3.851826327,1.160182581,0.143867039,0.155089312,0.983803153,Little or no detectable change
|
|||
|
HC/HIT-9,"HC/HIT-9. Internet users who can easily access health information (percent, ages 18 and over)",HC/HIT,Race and ethnicity,3,46.213583525,4.907634506,"Black or African American only, not Hispanic or Latino",41.822043372,6.07685613,1.105005394,0.198870816,61.602540484,5.088686275,"Black or African American only, not Hispanic or Latino",37.713759453,5.914722968,1.633423487,0.289534962,0.528418093,1.504371607,Little or no detectable change
|
|||
|
HC/HIT-9,"HC/HIT-9. Internet users who can easily access health information (percent, ages 18 and over)",HC/HIT,Family income,5,44.48211214,1.701992018,"More than $75,000 income",37.009318968,4.594026562,1.201916528,0.156122751,45.69075148,7.869528239,"More than $35,000 and less than $50,000 income",34.621696691,5.178067442,1.319714394,0.301037679,0.117797867,0.347369983,Little or no detectable change
|
|||
|
HC/HIT-9,"HC/HIT-9. Internet users who can easily access health information (percent, ages 18 and over)",HC/HIT,Geographic location,2,41.369408022,1.446298122,Metropolitan,37.95779093,3.560591952,1.089879232,0.109104634,38.440191144,2.294851521,Metropolitan,38.132529284,5.698904723,1.008068226,0.16223101,-0.081811006,-0.418457088,Little or no detectable change
|
|||
|
HDS-2,"HDS-2. Coronary heart disease deaths (age adjusted, per 100,000 population)",HDS,Sex,2,98.758269248,0.228689999,Female,169.24394524,0.370432635,1.713719231,0.00546052,65.955383622,0.171972323,Female,126.80006983,0.279707707,1.922512809,0.00656603,0.208793578,24.449153439,Increase
|
|||
|
HDS-2,"HDS-2. Coronary heart disease deaths (age adjusted, per 100,000 population)",HDS,Race and ethnicity,5,75.867014361,0.907944971,Asian or Pacific Islander,122.47366699,1.563266798,1.614320374,0.0282458,53.871440467,0.545842834,Asian or Pacific Islander,85.306450718,0.987263277,1.583519022,0.0243575,-0.030801,-0.825826845,Little or no detectable change
|
|||
|
HDS-2,"HDS-2. Coronary heart disease deaths (age adjusted, per 100,000 population)",HDS,Geographic location,2,127.43360065,0.223249445,Metropolitan,138.20959681,0.496926104,1.084561655,0.00433776,89.728649388,0.167322718,Metropolitan,109.41704432,0.419203673,1.219421501,0.00519591,0.134859846,19.92440813,Increase
|
|||
|
HDS-3,"HDS-3. Stroke deaths (age adjusted, per 100,000 population)",HDS,Sex,2,42.671802639,0.150738901,Female,43.659843856,0.190480241,1.023154429,0.00574362,36.641516857,0.128337985,Female,37.987516003,0.15538688,1.036734264,0.00558295,0.0135798,1.69538114,Little or no detectable change
|
|||
|
HDS-3,"HDS-3. Stroke deaths (age adjusted, per 100,000 population)",HDS,Race and ethnicity,5,34.248865574,1.519120681,American Indian or Alaska Native,44.275957278999996,0.535147423,1.292771499,0.0594321,26.216872576,0.985886427,American Indian or Alaska Native,37.73258272,0.380054994,1.43924805,0.0560308,0.146476551,1.793297227,Little or no detectable change
|
|||
|
HDS-3,"HDS-3. Stroke deaths (age adjusted, per 100,000 population)",HDS,Geographic location,2,42.265086215,0.128923253,Metropolitan,49.196418303,0.296159401,1.163996639,0.0078554,37.077608979,0.108124478,Metropolitan,40.267931929,0.253805712,1.086044463,0.00754241,-0.077952176,-7.158044119,Decrease
|
|||
|
HDS-4,"HDS-4. Adults who had their blood pressure measured in past 2 years and know their blood pressure level (age-adjusted percent, ages 18 and over)",HDS,Sex,2,93.453195745,0.279461018,Female,87.54496759,0.432597217,1.067487924,0.00616562,94.681396305,0.268420407,Female,90.895585786,0.38283464,1.041650103,0.00528851,-0.025838,-3.180820038,Decrease
|
|||
|
HDS-4,"HDS-4. Adults who had their blood pressure measured in past 2 years and know their blood pressure level (age-adjusted percent, ages 18 and over)",HDS,Race and ethnicity,6,92.484652449,0.277533177,"White only, not Hispanic or Latino",88.260739828,1.855699753,1.047857208,0.0222547,93.904274434,0.269087769,"White only, not Hispanic or Latino",91.802077241,1.491925113,1.022899233,0.0168801,-0.024958,-0.893518935,Little or no detectable change
|
|||
|
HDS-4,"HDS-4. Adults who had their blood pressure measured in past 2 years and know their blood pressure level (age-adjusted percent, ages 18 and over)",HDS,Educational attainment,6,96.064898632,0.526984417,Advanced degree,90.418741191,0.691451025,1.062444548,0.009999,96.032561667,0.40797891,Advanced degree,92.099573164,0.730536419,1.042703656,0.0093823,-0.019741,-1.439721289,Little or no detectable change
|
|||
|
HDS-4,"HDS-4. Adults who had their blood pressure measured in past 2 years and know their blood pressure level (age-adjusted percent, ages 18 and over)",HDS,Family income,5,95.04289705,0.497941807,At or above 600% of the poverty threshold,88.70439632,0.773395365,1.071456444,0.0108987,95.411149151,0.474420776,At or above 600% of the poverty threshold,91.677340657,0.720597711,1.040727714,0.0096797,-0.030729,-2.108086582,Decrease
|
|||
|
HDS-4,"HDS-4. Adults who had their blood pressure measured in past 2 years and know their blood pressure level (age-adjusted percent, ages 18 and over)",HDS,Disability status,2,93.43126237,0.719277264,People with disabilities,91.721954453,0.311417417,1.018635756,0.0085707,94.575114629,0.746963359,People with disabilities,92.542185619,0.368977554,1.021967592,0.0090418,0.00333184,0.267437472,Little or no detectable change
|
|||
|
HDS-4,"HDS-4. Adults who had their blood pressure measured in past 2 years and know their blood pressure level (age-adjusted percent, ages 18 and over)",HDS,Geographic location,2,90.738054566,0.2737848,Metropolitan,89.832847121,0.73083509,1.010076575,0.0087644,92.9377712,0.251651189,Metropolitan,92.213370061,0.654091263,1.007855706,0.00765213,-0.0022209,-0.190880152,Little or no detectable change
|
|||
|
HDS-5.1,"HDS-5.1. Adults with hypertension (age-adjusted percent, ages 18 and over)",HDS,Sex,2,28.726846141,0.607356428,Female,30.626566109,0.803978549,1.066130475,0.0359354,28.319074026,0.782334208,Female,30.546157515,0.820367638,1.078642525,0.0415587,0.0125121,0.227737539,Little or no detectable change
|
|||
|
HDS-5.1,"HDS-5.1. Adults with hypertension (age-adjusted percent, ages 18 and over)",HDS,Race and ethnicity,3,27.130999097,0.904366066,Hispanic or Latino,34.727251854,1.104901866,1.279984262,0.0589822,28.234970931,0.977080346,Hispanic or Latino,34.616300802,1.501457631,1.22600802,0.068028068,-0.053976,-0.599487516,Little or no detectable change
|
|||
|
HDS-5.1,"HDS-5.1. Adults with hypertension (age-adjusted percent, ages 18 and over)",HDS,Educational attainment,4,29.572086715,0.996361646,College graduate or above,35.609062786,1.392150454,1.204144406,0.0621465,26.604557822,0.770815718,College graduate or above,37.205541994,1.668958054,1.398464964,0.074679329,0.194320558,2.000098558,Increase
|
|||
|
HDS-5.1,"HDS-5.1. Adults with hypertension (age-adjusted percent, ages 18 and over)",HDS,Family income,5,27.390887428,1.197257125,Above 500% of the poverty threshold,31.175814566,1.508349506,1.138181983,0.074212524,25.705189843,1.855775986,At 400%-499% of the poverty threshold,30.668220141,1.115307865,1.19307503,0.09644454,0.054893,0.451080203,Little or no detectable change
|
|||
|
HDS-5.1,"HDS-5.1. Adults with hypertension (age-adjusted percent, ages 18 and over)",HDS,Disability status,2,29.270362754,0.670085566,People without activity limitations,39.346330851,1.372888683,1.344237896,0.0560979,28.511227938,0.693708281,People without activity limitations,38.406076085,1.533101532,1.347050929,0.0629732,0.00281303,0.033355,Little or no detectable change
|
|||
|
HDS-5.2,"HDS-5.2. Children and adolescents with hypertension (percent, ages 8-17 years)",HDS,Sex,2,3.192100058,0.472998241,Male,3.779225375,0.735919953,1.183930737,0.289701671,1.867297216,0.387226562,Female,2.52814079,0.481308782,1.353903797,0.381138237,0.16997306,0.355041423,Little or no detectable change
|
|||
|
HDS-6,"HDS-6. Adults having blood cholesterol screening in past 5 years (age-adjusted percent, ages 18 and over)",HDS,Sex,2,76.835678872,0.47729478,Female,72.168441671,0.565153837,1.064671442,0.0106421,89.303733519,0.385377561,Female,86.571893419,0.455970871,1.031555739,0.00702392,-0.033116,-2.597098088,Decrease
|
|||
|
HDS-6,"HDS-6. Adults having blood cholesterol screening in past 5 years (age-adjusted percent, ages 18 and over)",HDS,Race and ethnicity,6,80.511820846,1.444545932,Asian only,72.981497308,2.9457813,1.103181269,0.0487292,90.96204278,1.015194153,Asian only,87.625868416,1.430601588,1.038072939,0.0205293,-0.06510833,-1.231314835,Little or no detectable change
|
|||
|
HDS-6,"HDS-6. Adults having blood cholesterol screening in past 5 years (age-adjusted percent, ages 18 and over)",HDS,Educational attainment,6,90.466541157,0.826135185,Advanced degree,78.710315813,0.982707436,1.149360668,0.0177787,93.816356755,0.382844583,4-year college degree,89.187106312,0.842763389,1.051904929,0.0108271,-0.097455739,-4.681744937,Decrease
|
|||
|
HDS-6,"HDS-6. Adults having blood cholesterol screening in past 5 years (age-adjusted percent, ages 18 and over)",HDS,Family income,5,82.041651614,0.907090796,At or above 600% of the poverty threshold,71.199021048,1.101969738,1.152286231,0.0219175,91.529366346,0.667546614,At or above 600% of the poverty threshold,86.263013369,0.874676528,1.061049954,0.0132527,-0.091236277,-3.56215451,Decrease
|
|||
|
HDS-6,"HDS-6. Adults having blood cholesterol screening in past 5 years (age-adjusted percent, ages 18 and over)",HDS,Disability status,2,88.03190935,1.266595945,People with disabilities,85.577856955,0.435462342,1.028676254,0.0156989,89.347551672,1.11367866,People with disabilities,87.823793049,0.456233306,1.01735018,0.0137381,-0.011326,-0.542925827,Little or no detectable change
|
|||
|
HDS-6,"HDS-6. Adults having blood cholesterol screening in past 5 years (age-adjusted percent, ages 18 and over)",HDS,Geographic location,2,75.768048303,0.414525005,Metropolitan,67.765329861,1.070939882,1.118094584,0.0186988,88.890563886,0.326560153,Metropolitan,80.993844801,0.906004386,1.097497768,0.0129218,-0.020597,-0.90617949,Little or no detectable change
|
|||
|
HDS-7,"HDS-7. Adults with high blood cholesterol levels (age-adjusted percent, ages 20 and over)",HDS,Sex,2,13.484270764,0.743059575,Male,16.090847697,0.643812383,1.193304998,0.081263288,10.899119847,0.553131362,Male,12.248734283,0.699044766,1.123827837,0.085828708,-0.069477161,-0.587813243,Little or no detectable change
|
|||
|
HDS-7,"HDS-7. Adults with high blood cholesterol levels (age-adjusted percent, ages 20 and over)",HDS,Race and ethnicity,3,10.018242591,0.779525671,"Black or African American only, not Hispanic or Latino",13.766435315,1.036676797,1.37413675,0.148796139,8.905122992,0.673370875,"Black or African American only, not Hispanic or Latino",11.823463093,0.935186053,1.327714744,0.145285854,-0.046422,-0.223223304,Little or no detectable change
|
|||
|
HDS-7,"HDS-7. Adults with high blood cholesterol levels (age-adjusted percent, ages 20 and over)",HDS,Educational attainment,4,14.304367516,1.107051146,College graduate or above,16.724164856,1.24449524,1.169164931,0.12552551,11.676671717,0.9259237,College graduate or above,12.607957909,1.104942177,1.079756134,0.12761465,-0.089408797,-0.499481502,Little or no detectable change
|
|||
|
HDS-7,"HDS-7. Adults with high blood cholesterol levels (age-adjusted percent, ages 20 and over)",HDS,Family income,5,12.465011448,1.458686068,At 400%-499% of the poverty threshold,15.424756697,1.236100629,1.237444246,0.175508957,11.051306026,0.737876886,Below the poverty threshold (<100%),11.892886688,1.172362801,1.076152145,0.128127167,-0.161292101,-0.74225011,Little or no detectable change
|
|||
|
HDS-7,"HDS-7. Adults with high blood cholesterol levels (age-adjusted percent, ages 20 and over)",HDS,Disability status,2,14.87533798,1.02956156,People with activity limitations,15.203132661,0.605732712,1.022036117,0.081621123,11.831883676,0.547392505,People without activity limitations,11.839858669,0.788823312,1.000674026,0.081166841,-0.021362,-0.18558154,Little or no detectable change
|
|||
|
HDS-8,"HDS-8. Mean total blood cholesterol levels (age adjusted, mg/dL, ages 20 and over)",HDS,Sex,2,194.781,0.792,Male,199.994,0.67,1.026763391,0.00540943,188.279175401,0.923244057,Male,192.853765741,0.795517609,1.024296847,0.00656355,-0.0024665,-0.289996712,Little or no detectable change
|
|||
|
HDS-8,"HDS-8. Mean total blood cholesterol levels (age adjusted, mg/dL, ages 20 and over)",HDS,Race and ethnicity,3,190.386465373,0.808777734,"Black or African American only, not Hispanic or Latino",196.204399668,1.266559417,1.03055855,0.0079638,184.1964597,1.220927321,"Black or African American only, not Hispanic or Latino",191.900231973,1.31147462,1.041823672,0.0099188,0.0112651,0.885606419,Little or no detectable change
|
|||
|
HDS-8,"HDS-8. Mean total blood cholesterol levels (age adjusted, mg/dL, ages 20 and over)",HDS,Educational attainment,4,198.687,1.165,College graduate or above,200.593,1.312201776,1.009592978,0.0088691,191.433548488,1.12248834,Less than high school,193.211801367,1.670678053,1.009289139,0.0105445,-0.00030384,-0.022052,Little or no detectable change
|
|||
|
HDS-8,"HDS-8. Mean total blood cholesterol levels (age adjusted, mg/dL, ages 20 and over)",HDS,Family income,5,195.322,1.233,At 400%-499% of the poverty threshold,198.24525,1.324155958,1.014966312,0.009328,187.522047976,1.300604955,Below the poverty threshold (<100%),191.863365119,1.494504102,1.023150969,0.0106712,0.0081847,0.57746572,Little or no detectable change
|
|||
|
HDS-8,"HDS-8. Mean total blood cholesterol levels (age adjusted, mg/dL, ages 20 and over)",HDS,Disability status,2,197.097,1.398,People with activity limitations,198.24,0.643,1.005799175,0.0078446,190.199608474,1.641044115,People with activity limitations,191.334046722,0.828837254,1.005964462,0.009712,0.000165287,0.0132394,Little or no detectable change
|
|||
|
HDS-9.1,"HDS-9.1. Adults with prehypertension who meet the recommended guidelines for body mass index (age-adjusted percent, ages 18 and over)",HDS,Sex,2,31.775159172,2.262269976,Female,26.21964086,1.502980895,1.211883845,0.110771681,23.855642461,1.276301223,Male,22.653993752,2.236234578,1.05304357,0.118234503,-0.158840274,-0.980387883,Little or no detectable change
|
|||
|
HDS-9.1,"HDS-9.1. Adults with prehypertension who meet the recommended guidelines for body mass index (age-adjusted percent, ages 18 and over)",HDS,Race and ethnicity,3,28.566172923,1.964844928,"Black or African American only, not Hispanic or Latino",22.610284772,2.575018924,1.263414999,0.168092404,25.146053,1.311847984,"Black or African American only, not Hispanic or Latino",20.208183234,2.463275601,1.24435001,0.164987858,-0.019065,-0.080943842,Little or no detectable change
|
|||
|
HDS-9.1,"HDS-9.1. Adults with prehypertension who meet the recommended guidelines for body mass index (age-adjusted percent, ages 18 and over)",HDS,Educational attainment,4,31.438357434,3.272608065,College graduate or above,25.344912026,2.693360794,1.240420855,0.184522493,25.123815351,1.857174433,College graduate or above,21.320399137,2.973423908,1.178393293,0.186001264,-0.062028,-0.236744658,Little or no detectable change
|
|||
|
HDS-9.1,"HDS-9.1. Adults with prehypertension who meet the recommended guidelines for body mass index (age-adjusted percent, ages 18 and over)",HDS,Family income,5,32.15913432,3.289276103,Below the poverty threshold (<100%),26.830931741,3.013428561,1.198584329,0.182071936,28.722626444,3.085835527,Below the poverty threshold (<100%),21.569807674,2.525494186,1.331612543,0.211601797,0.133028214,0.476545016,Little or no detectable change
|
|||
|
HDS-9.1,"HDS-9.1. Adults with prehypertension who meet the recommended guidelines for body mass index (age-adjusted percent, ages 18 and over)",HDS,Disability status,2,29.640145324,1.719809858,People without activity limitations,24.14221475,2.717931002,1.227730994,0.155495551,23.174341193,1.150819595,People without activity limitations,21.202437357,2.346225054,1.093003639,0.132570531,-0.134727355,-0.659337413,Little or no detectable change
|
|||
|
HDS-9.2,"HDS-9.2. Adults with prehypertension who meet the recommended guidelines for saturated fat consumption (age-adjusted percent, ages 18 and over)",HDS,Sex,2,31.526366301,1.722379605,Male,31.24860971,1.949699878,1.008888606,0.083668874,27.115559763,3.178554191,Female,26.093201123,2.730535263,1.039181036,0.163292984,0.0302924,0.165098939,Little or no detectable change
|
|||
|
HDS-9.2,"HDS-9.2. Adults with prehypertension who meet the recommended guidelines for saturated fat consumption (age-adjusted percent, ages 18 and over)",HDS,Race and ethnicity,3,55.207697284,3.233491721,Hispanic or Latino,38.006812195,4.911594602,1.452573739,0.20609464,34.365053237,3.047353782,Hispanic or Latino,27.028477634,4.584588401,1.271438729,0.243355482,-0.18113501,-0.568000296,Little or no detectable change
|
|||
|
HDS-9.2,"HDS-9.2. Adults with prehypertension who meet the recommended guidelines for saturated fat consumption (age-adjusted percent, ages 18 and over)",HDS,Educational attainment,4,36.698323813,2.34960335,Less than high school,28.963547231,2.242251717,1.267052116,0.127289659,29.955567992,3.329433512,Less than high school,26.350504579,3.702919823,1.136811931,0.203679174,-0.130240185,-0.542254018,Little or no detectable change
|
|||
|
HDS-9.2,"HDS-9.2. Adults with prehypertension who meet the recommended guidelines for saturated fat consumption (age-adjusted percent, ages 18 and over)",HDS,Family income,5,36.155196215,1.756531206,Below the poverty threshold (<100%),30.733549519,1.985161686,1.176408088,0.095082076,30.907494174,2.732142542,Below the poverty threshold (<100%),25.579436212,3.04233607,1.208294582,0.179056306,0.0318865,0.157281105,Little or no detectable change
|
|||
|
HDS-9.2,"HDS-9.2. Adults with prehypertension who meet the recommended guidelines for saturated fat consumption (age-adjusted percent, ages 18 and over)",HDS,Disability status,2,32.084362932,1.914207547,People with activity limitations,31.928979156,1.548736237,1.004866544,0.077265791,27.311471073,2.538375121,People without activity limitations,23.948363378,2.95897002,1.14043163,0.176322351,0.135565086,0.70420263,Little or no detectable change
|
|||
|
HDS-9.4,"HDS-9.4. Adults with prehypertension who meet the recommended guidelines for physical activity (age-adjusted percent, ages 18 and over)",HDS,Sex,2,39.933604508,1.609151208,Male,32.110349304,2.272739103,1.243636565,0.101288916,43.121563259,1.87581503,Male,34.968795989,2.553161833,1.233144066,0.104803757,-0.010492,-0.071989348,Little or no detectable change
|
|||
|
HDS-9.4,"HDS-9.4. Adults with prehypertension who meet the recommended guidelines for physical activity (age-adjusted percent, ages 18 and over)",HDS,Race and ethnicity,3,39.983236183,2.357064757,"White only, not Hispanic or Latino",30.774752445,2.765549308,1.299222025,0.139633659,42.638440341,1.994614595,"White only, not Hispanic or Latino",35.887148712,3.12190914,1.188125607,0.117354218,-0.111096418,-0.609082968,Little or no detectable change
|
|||
|
HDS-9.4,"HDS-9.4. Adults with prehypertension who meet the recommended guidelines for physical activity (age-adjusted percent, ages 18 and over)",HDS,Educational attainment,4,50.479236649,2.602177035,College graduate or above,29.027765045,2.611460643,1.738998389,0.180310817,54.586589002,2.724854462,College graduate or above,27.96043845,2.863975734,1.952279436,0.222453876,0.213281047,0.744820088,Little or no detectable change
|
|||
|
HDS-9.4,"HDS-9.4. Adults with prehypertension who meet the recommended guidelines for physical activity (age-adjusted percent, ages 18 and over)",HDS,Family income,5,52.232979376,2.685024422,Above 500% of the poverty threshold,31.373928233,3.346088952,1.664853027,0.197108177,57.762730827,3.222958791,Above 500% of the poverty threshold,34.483347458,3.614727195,1.67509059,0.198917228,0.0102376,0.0365581,Little or no detectable change
|
|||
|
HDS-9.4,"HDS-9.4. Adults with prehypertension who meet the recommended guidelines for physical activity (age-adjusted percent, ages 18 and over)",HDS,Disability status,2,38.882858771,1.660019707,People without activity limitations,26.565079846,3.443247179,1.463683113,0.199742432,42.27555274,1.805251814,People without activity limitations,28.208058487,2.749319135,1.498704803,0.159476787,0.0350217,0.137019113,Little or no detectable change
|
|||
|
HDS-10.1,"HDS-10.1. Adults with hypertension who meet the recommended guidelines for body mass index (age-adjusted percent, ages 18 and over)",HDS,Sex,2,19.940614768,2.070708137,Female,16.003549797,1.521573029,1.24601198,0.175432121,14.747600871,1.48083594,Female,10.82069664,0.932471199,1.362906785,0.180340231,0.116894805,0.464618706,Little or no detectable change
|
|||
|
HDS-10.1,"HDS-10.1. Adults with hypertension who meet the recommended guidelines for body mass index (age-adjusted percent, ages 18 and over)",HDS,Race and ethnicity,3,15.090617096,1.880445534,"White only, not Hispanic or Latino",10.643499717,2.250073748,1.417824729,0.347928468,13.139007313,1.399102171,"Black or African American only, not Hispanic or Latino",9.910259314,2.045409773,1.325798538,0.307908288,-0.09202619,-0.19807224,Little or no detectable change
|
|||
|
HDS-10.1,"HDS-10.1. Adults with hypertension who meet the recommended guidelines for body mass index (age-adjusted percent, ages 18 and over)",HDS,Educational attainment,4,20.99310807,2.912296483,College graduate or above,17.724050611,3.022091795,1.184441894,0.260356267,16.374560256,2.021434933,Less than high school,12.343465627,1.892515546,1.326577215,0.261127683,0.142135321,0.385456693,Little or no detectable change
|
|||
|
HDS-10.1,"HDS-10.1. Adults with hypertension who meet the recommended guidelines for body mass index (age-adjusted percent, ages 18 and over)",HDS,Family income,4,21.667848502,2.438104013,Above 500% of the poverty threshold,16.221155549,2.799704854,1.335777124,0.275217046,18.363374399,2.241895987,Below the poverty threshold (<100%),11.719991511,2.045745465,1.566841954,0.333752486,0.23106483,0.534141313,Little or no detectable change
|
|||
|
HDS-10.1,"HDS-10.1. Adults with hypertension who meet the recommended guidelines for body mass index (age-adjusted percent, ages 18 and over)",HDS,Disability status,2,18.865492188,2.30353622,People with activity limitations,17.65174304,1.264822857,1.068760867,0.151309957,13.313479628,1.062766625,People with activity limitations,12.682328363,1.038876223,1.049766198,0.120070299,-0.018995,-0.098335402,Little or no detectable change
|
|||
|
HDS-10.2,"HDS-10.2. Adults with hypertension who meet the recommended guidelines for saturated fat consumption (age-adjusted percent, ages 18 and over)",HDS,Sex,2,30.698634871,1.938259887,Male,30.501757164,2.128150878,1.006454635,0.094705707,26.383935267,2.225311889,Male,25.232955401,1.947684554,1.045614152,0.119547234,0.0391595,0.256759089,Little or no detectable change
|
|||
|
HDS-10.2,"HDS-10.2. Adults with hypertension who meet the recommended guidelines for saturated fat consumption (age-adjusted percent, ages 18 and over)",HDS,Race and ethnicity,3,53.985409468,2.516202454,Hispanic or Latino,38.701120269,2.983644659,1.394931441,0.125667448,37.813253665,3.507754467,"Black or African American only, not Hispanic or Latino",25.88659211,3.233098191,1.460727372,0.227254962,0.065795931,0.253366687,Little or no detectable change
|
|||
|
HDS-10.2,"HDS-10.2. Adults with hypertension who meet the recommended guidelines for saturated fat consumption (age-adjusted percent, ages 18 and over)",HDS,Educational attainment,4,35.014319997,1.647451477,Less than high school,29.088788943,2.557216255,1.203704976,0.120021344,28.91269084,2.089499134,Less than high school,25.527675299,2.313312503,1.132601794,0.13127824,-0.071103182,-0.399739424,Little or no detectable change
|
|||
|
HDS-10.2,"HDS-10.2. Adults with hypertension who meet the recommended guidelines for saturated fat consumption (age-adjusted percent, ages 18 and over)",HDS,Family income,5,34.383133623,1.574974711,Below the poverty threshold (<100%),29.714616952,2.450673735,1.15711179,0.109162645,29.882979173,2.125779106,Below the poverty threshold (<100%),24.896028822,2.270687389,1.200311077,0.138837781,0.0431993,0.244597545,Little or no detectable change
|
|||
|
HDS-10.2,"HDS-10.2. Adults with hypertension who meet the recommended guidelines for saturated fat consumption (age-adjusted percent, ages 18 and over)",HDS,Disability status,2,31.43184819,1.771809605,People with activity limitations,30.291758442,1.969936662,1.037636962,0.089301533,26.529467439,1.857089649,People without activity limitations,24.506312289,1.888034351,1.082556491,0.112688523,0.0449195,0.312412598,Little or no detectable change
|
|||
|
HDS-10.3,"HDS-10.3. Adults with hypertension who meet the recommended guidelines for sodium intake (age-adjusted percent, ages 18 and over)",HDS,Disability status,2,0.881302031,0.226676961,People with activity limitations,0.57209626,0.159552768,1.540478573,0.584440276,1.123171025,0.235028434,People with activity limitations,0.711392244,0.153853455,1.578835072,0.475123121,0.0383565,0.0509246,Little or no detectable change
|
|||
|
HDS-10.4,"HDS-10.4. Adults with hypertension who meet the recommended guidelines for physical activity (age-adjusted percent, ages 18 and over)",HDS,Sex,2,34.995985282,2.455920418,Male,19.120498815,1.677861397,1.830286209,0.205654854,37.4493143,2.079553945,Male,25.071297341,1.741726076,1.493712662,0.132846158,-0.336573546,-1.37472012,Little or no detectable change
|
|||
|
HDS-10.4,"HDS-10.4. Adults with hypertension who meet the recommended guidelines for physical activity (age-adjusted percent, ages 18 and over)",HDS,Race and ethnicity,3,29.603983072,2.798127968,"White only, not Hispanic or Latino",23.21934754,2.90722748,1.274970497,0.200014359,33.995618269,2.030951341,"White only, not Hispanic or Latino",27.29765689,2.860436193,1.24536763,0.150217066,-0.029603,-0.118344352,Little or no detectable change
|
|||
|
HDS-10.4,"HDS-10.4. Adults with hypertension who meet the recommended guidelines for physical activity (age-adjusted percent, ages 18 and over)",HDS,Educational attainment,4,42.463121858,3.841176483,College graduate or above,21.641352604,2.818844159,1.96212883,0.31116055,46.057745795,3.296477114,College graduate or above,24.56895333,2.915936259,1.874631987,0.259814057,-0.087496843,-0.215844793,Little or no detectable change
|
|||
|
HDS-10.4,"HDS-10.4. Adults with hypertension who meet the recommended guidelines for physical activity (age-adjusted percent, ages 18 and over)",HDS,Family income,5,47.668724173,4.292103682,Above 500% of the poverty threshold,21.276874463,3.680481835,2.240400687,0.436903743,44.123669391,3.148501207,Above 500% of the poverty threshold,27.844880616,4.166219602,1.584624118,0.262677921,-0.655776569,-1.286369243,Little or no detectable change
|
|||
|
HDS-10.4,"HDS-10.4. Adults with hypertension who meet the recommended guidelines for physical activity (age-adjusted percent, ages 18 and over)",HDS,Disability status,2,32.367270196,2.294488905,People without activity limitations,14.047934411,2.292179043,2.304059035,0.409897235,34.080250724,1.640855085,People without activity limitations,26.695093301,3.596885039,1.276648496,0.182667222,-1.027410538,-2.289457317,Decrease
|
|||
|
HDS-11,"HDS-11. Adults with hypertension taking medication to lower blood pressure (age-adjusted percent, ages 18 and over)",HDS,Sex,2,73.037355869,1.576144851,Female,56.280515236,2.042363214,1.297737868,0.0547914,75.759164786,2.012228793,Female,60.54926878,1.935362662,1.251198674,0.0519984,-0.046539,-0.616106203,Little or no detectable change
|
|||
|
HDS-11,"HDS-11. Adults with hypertension taking medication to lower blood pressure (age-adjusted percent, ages 18 and over)",HDS,Race and ethnicity,3,71.640162438,2.221271034,"Black or African American only, not Hispanic or Latino",65.546802396,4.156754877,1.092961972,0.077152843,68.995145589,1.543545171,"Black or African American only, not Hispanic or Latino",65.163272555,3.128917207,1.058804183,0.0560875,-0.034158,-0.358102946,Little or no detectable change
|
|||
|
HDS-11,"HDS-11. Adults with hypertension taking medication to lower blood pressure (age-adjusted percent, ages 18 and over)",HDS,Educational attainment,4,67.559885606,1.841256509,High school graduate or equivalent,64.47150544,4.084878441,1.047903025,0.072276314,73.118736891,2.179198505,Some college or AA degree,66.740951179,3.39332832,1.095560306,0.064566439,0.0476573,0.491738539,Little or no detectable change
|
|||
|
HDS-11,"HDS-11. Adults with hypertension taking medication to lower blood pressure (age-adjusted percent, ages 18 and over)",HDS,Family income,5,68.158623773,3.05027988,Below the poverty threshold (<100%),62.177822873,3.927254415,1.096188651,0.084855169,71.005671115,2.095463565,At 200%-399% of the poverty threshold,66.203811367,4.666797924,1.07253147,0.081962362,-0.023657,-0.200526148,Little or no detectable change
|
|||
|
HDS-11,"HDS-11. Adults with hypertension taking medication to lower blood pressure (age-adjusted percent, ages 18 and over)",HDS,Disability status,2,74.98062017,2.375867454,People with activity limitations,60.292656997,1.859391808,1.243611144,0.0549882,77.295222024,3.148293034,People with activity limitations,64.665949459,1.602456763,1.195300195,0.056988,-0.048311,-0.610050526,Little or no detectable change
|
|||
|
HDS-12,"HDS-12. Adults with hypertension whose blood pressure is under control (age-adjusted percent, ages 18 and over)",HDS,Sex,2,51.967374652,1.610327596,Female,38.572627436,1.97005351,1.347260431,0.080484036,56.348947923,2.211700919,Female,41.79107504,2.079095461,1.348348849,0.085443267,0.00108842,0.0092725,Little or no detectable change
|
|||
|
HDS-12,"HDS-12. Adults with hypertension whose blood pressure is under control (age-adjusted percent, ages 18 and over)",HDS,Race and ethnicity,3,53.630842521,2.536482937,"White only, not Hispanic or Latino",40.979561357,4.45874568,1.308721732,0.155265249,51.65443232,2.664576207,"White only, not Hispanic or Latino",42.4121968,3.059897041,1.217914567,0.108018195,-0.090807165,-0.480096909,Little or no detectable change
|
|||
|
HDS-12,"HDS-12. Adults with hypertension whose blood pressure is under control (age-adjusted percent, ages 18 and over)",HDS,Educational attainment,4,50.17030702,3.275583903,College graduate or above,42.762892915,3.997697057,1.173220603,0.133778905,50.414939271,2.679348093,Some college or AA degree,47.943097421,3.924810582,1.051557825,0.102634371,-0.121662778,-0.721547028,Little or no detectable change
|
|||
|
HDS-12,"HDS-12. Adults with hypertension whose blood pressure is under control (age-adjusted percent, ages 18 and over)",HDS,Family income,5,47.879503122,2.90828888,Above 500% of the poverty threshold,42.342923871,4.685160247,1.130755714,0.142728753,58.840934778,5.537908656,At 400%-499% of the poverty threshold,46.629175054,3.923860975,1.261890967,0.159314492,0.131135252,0.613072092,Little or no detectable change
|
|||
|
HDS-12,"HDS-12. Adults with hypertension whose blood pressure is under control (age-adjusted percent, ages 18 and over)",HDS,Disability status,2,54.096632271,3.265467664,People with activity limitations,41.062243333,1.499754316,1.317430025,0.092948976,54.438964987,3.97767732,People with activity limitations,45.816188906,1.856161597,1.188203696,0.099270625,-0.129226329,-0.950240631,Little or no detectable change
|
|||
|
HDS-15.1,"HDS-15.1. Physician office visits by women with no history of cardiovascular disease that include prescription of aspirin or other antiplatelet medication (percent, ages 55-79)",HDS,Geographic location,2,17.982616817,2.452889455,Metropolitan,16.960097297,5.079320691,1.06028972,0.348927251,26.017407511,2.189381436,Metropolitan,24.277182466,2.947197541,1.071681508,0.158299968,0.0113918,0.0297314,Little or no detectable change
|
|||
|
HDS-15.2,"HDS-15.2. Physician office visits by men with no history of cardiovascular disease that include prescription of aspirin or other antiplatelet medication (percent, ages 45-79)",HDS,Race and ethnicity,3,16.862988045,1.51755237,"White only, not Hispanic or Latino",11.897898007,4.075829367,1.41730817,0.501997326,23.295820436,1.664909539,"White only, not Hispanic or Latino",18.731434124,3.967624846,1.243675219,0.278021596,-0.173632951,-0.302578486,Little or no detectable change
|
|||
|
HDS-15.2,"HDS-15.2. Physician office visits by men with no history of cardiovascular disease that include prescription of aspirin or other antiplatelet medication (percent, ages 45-79)",HDS,Geographic location,2,16.290292845,1.486688803,Metropolitan,13.738888235,2.390162117,1.185706774,0.232937989,24.78624677,3.808669211,Nonmetropolitan,21.171412987,2.235242128,1.170741263,0.218268238,-0.014966,-0.046882,Little or no detectable change
|
|||
|
HDS-16.1,"HDS-16.1. Adults who are aware of heart attack symptoms and the importance of calling 9-1-1 (age-adjusted percent, ages 20 and over)",HDS,Sex,2,40.768324564,0.667391257,Female,33.310817791,0.637986483,1.223876424,0.030836,52.280794997,0.610040682,Female,44.227041168,0.626016084,1.182100218,0.0216846,-0.041776,-1.108202583,Little or no detectable change
|
|||
|
HDS-16.1,"HDS-16.1. Adults who are aware of heart attack symptoms and the importance of calling 9-1-1 (age-adjusted percent, ages 20 and over)",HDS,Race and ethnicity,6,41.965848191,0.636403208,"White only, not Hispanic or Latino",29.449974699,2.807155425,1.42498758,0.137537278,54.078914248,0.528522956,"White only, not Hispanic or Latino",40.425741598,2.520642401,1.337734624,0.08442937,-0.087252956,-0.540654047,Little or no detectable change
|
|||
|
HDS-16.1,"HDS-16.1. Adults who are aware of heart attack symptoms and the importance of calling 9-1-1 (age-adjusted percent, ages 20 and over)",HDS,Educational attainment,6,44.332302989,1.454204613,Advanced degree,37.556552623,1.221920574,1.180414599,0.0545366,57.312347979,1.02804717,Advanced degree,47.755440955,1.215218824,1.200121846,0.037364,0.0197072,0.298105531,Little or no detectable change
|
|||
|
HDS-16.1,"HDS-16.1. Adults who are aware of heart attack symptoms and the importance of calling 9-1-1 (age-adjusted percent, ages 20 and over)",HDS,Family income,5,42.600599574,1.107708843,At or above 600% of the poverty threshold,34.587279965,1.166657538,1.231684007,0.0524571,54.198900655,1.021649567,At or above 600% of the poverty threshold,45.464824933,1.244986294,1.192106221,0.0396307,-0.039578,-0.601994418,Little or no detectable change
|
|||
|
HDS-16.1,"HDS-16.1. Adults who are aware of heart attack symptoms and the importance of calling 9-1-1 (age-adjusted percent, ages 20 and over)",HDS,Disability status,2,47.73695411,0.608452772,People without disabilities,45.317867015,1.53412198,1.053380427,0.0381034,48.491458672,0.703061384,People without disabilities,45.581720306,1.49977976,1.063835642,0.0382511,0.0104552,0.193647669,Little or no detectable change
|
|||
|
HDS-16.1,"HDS-16.1. Adults who are aware of heart attack symptoms and the importance of calling 9-1-1 (age-adjusted percent, ages 20 and over)",HDS,Geographic location,2,40.541164387,1.182971046,Nonmetropolitan,36.470444293,0.574951332,1.111616959,0.0368677,51.416637207,1.526976932,Nonmetropolitan,47.929917955,0.502695731,1.072746197,0.0337869,-0.038871,-0.777293488,Little or no detectable change
|
|||
|
HDS-16.2,"HDS-16.2. Adults who are aware of heart attack symptoms (age-adjusted percent, ages 20 and over)",HDS,Sex,2,43.125859093,0.657897545,Female,35.856257217,0.646110523,1.202742909,0.0283966,53.941794451,0.612441046,Female,45.902757555,0.618244815,1.175131895,0.0207007,-0.027611,-0.785722797,Little or no detectable change
|
|||
|
HDS-16.2,"HDS-16.2. Adults who are aware of heart attack symptoms (age-adjusted percent, ages 20 and over)",HDS,Race and ethnicity,6,44.715085755,0.630787018,"White only, not Hispanic or Latino",32.055675721,2.813119463,1.394919457,0.123985862,55.854481839,0.515679252,"White only, not Hispanic or Latino",42.005645357,2.505586674,1.329689887,0.080258877,-0.065229569,-0.441648787,Little or no detectable change
|
|||
|
HDS-16.2,"HDS-16.2. Adults who are aware of heart attack symptoms (age-adjusted percent, ages 20 and over)",HDS,Educational attainment,6,47.067550848,1.446245011,Advanced degree,40.243728646,1.229333807,1.169562375,0.0506743,59.700086496,1.024351409,Advanced degree,49.38602644,1.208158087,1.208845716,0.0361215,0.0392833,0.631254187,Little or no detectable change
|
|||
|
HDS-16.2,"HDS-16.2. Adults who are aware of heart attack symptoms (age-adjusted percent, ages 20 and over)",HDS,Family income,5,45.211621655,1.138774619,At or above 600% of the poverty threshold,36.897750556,1.178709674,1.225321896,0.049847,55.89631361,1.018130857,At or above 600% of the poverty threshold,47.159629651,1.255633312,1.185257688,0.0382358,-0.040064,-0.637734388,Little or no detectable change
|
|||
|
HDS-16.2,"HDS-16.2. Adults who are aware of heart attack symptoms (age-adjusted percent, ages 20 and over)",HDS,Disability status,2,50.318087205,0.618930371,People without disabilities,47.904057951,1.609049504,1.050393001,0.037573,49.912764569,0.698491877,People without disabilities,48.37082857,1.496876378,1.031877395,0.0350456,-0.018516,-0.360364702,Little or no detectable change
|
|||
|
HDS-16.2,"HDS-16.2. Adults who are aware of heart attack symptoms (age-adjusted percent, ages 20 and over)",HDS,Geographic location,2,44.411754855,1.217883755,Nonmetropolitan,38.62219239,0.571415846,1.149902481,0.0358299,53.225992986,1.517726592,Nonmetropolitan,49.58160581,0.496298483,1.073502806,0.0324419,-0.076399675,-1.580632001,Little or no detectable change
|
|||
|
HDS-16.3,"HDS-16.3. Adults who are aware of the importance of calling 9-1-1 for a heart attack (age-adjusted percent, ages 20 and over)",HDS,Sex,2,92.499940296,0.33578619,Female,91.070970901,0.393917324,1.015690723,0.00573544,95.366688906,0.249060043,Female,94.504408597,0.306757043,1.009124234,0.00420415,-0.0065665,-0.92339195,Little or no detectable change
|
|||
|
HDS-16.3,"HDS-16.3. Adults who are aware of the importance of calling 9-1-1 for a heart attack (age-adjusted percent, ages 20 and over)",HDS,Race and ethnicity,6,92.383185369,0.335662754,"White only, not Hispanic or Latino",88.602801388,2.114944263,1.042666642,0.0251751,95.62585573,0.220219103,"White only, not Hispanic or Latino",93.949533481,1.135625707,1.017842795,0.0125246,-0.024824,-0.882829878,Little or no detectable change
|
|||
|
HDS-16.3,"HDS-16.3. Adults who are aware of the importance of calling 9-1-1 for a heart attack (age-adjusted percent, ages 20 and over)",HDS,Educational attainment,6,93.303768293,0.509284679,4-year college degree,91.282837544,0.776665231,1.022139219,0.0103325,96.319646588,0.336257129,4-year college degree,94.665106,0.552864937,1.01747783,0.00692301,-0.0046614,-0.374789035,Little or no detectable change
|
|||
|
HDS-16.3,"HDS-16.3. Adults who are aware of the importance of calling 9-1-1 for a heart attack (age-adjusted percent, ages 20 and over)",HDS,Family income,5,93.739977333,0.519454711,At or above 600% of the poverty threshold,90.816863928,0.745308665,1.032186901,0.0102211,95.925684599,0.411313487,At 400%-599% of the poverty threshold,94.275222272,0.646215196,1.017506852,0.0082268,-0.01468,-1.118851522,Little or no detectable change
|
|||
|
HDS-16.3,"HDS-16.3. Adults who are aware of the importance of calling 9-1-1 for a heart attack (age-adjusted percent, ages 20 and over)",HDS,Disability status,2,93.599046011,0.317370865,People without disabilities,90.727419549,1.279004434,1.031651142,0.0149582,95.574685204,0.300341426,People without disabilities,91.083448938,0.930053671,1.049309027,0.0112104,0.0176579,0.944635381,Little or no detectable change
|
|||
|
HDS-16.3,"HDS-16.3. Adults who are aware of the importance of calling 9-1-1 for a heart attack (age-adjusted percent, ages 20 and over)",HDS,Geographic location,2,92.317251067,0.29159031,Metropolitan,89.065300493,0.801043846,1.036511981,0.0098804,94.964016708,0.240616105,Metropolitan,94.876449028,0.554228022,1.000922965,0.00637329,-0.035589,-3.026884367,Decrease
|
|||
|
HDS-17.1,"HDS-17.1. Adults who are aware of stroke symptoms and the importance of calling 9-1-1 (age-adjusted percent, ages 20 and over)",HDS,Sex,2,53.770308958,0.6290512,Female,48.59363397,0.632846473,1.1065299,0.0193712,69.418945165,0.544409526,Female,65.040243929,0.615415561,1.067322952,0.0131169,-0.039207,-1.675914161,Little or no detectable change
|
|||
|
HDS-17.1,"HDS-17.1. Adults who are aware of stroke symptoms and the importance of calling 9-1-1 (age-adjusted percent, ages 20 and over)",HDS,Race and ethnicity,7,56.061368317,0.589867115,"White only, not Hispanic or Latino",41.822642088,4.961231425,1.340454967,0.159636399,71.225410625,0.507853955,"White only, not Hispanic or Latino",60.665246501,3.749195202,1.174072714,0.073040622,-0.166382253,-0.947763009,Little or no detectable change
|
|||
|
HDS-17.1,"HDS-17.1. Adults who are aware of stroke symptoms and the importance of calling 9-1-1 (age-adjusted percent, ages 20 and over)",HDS,Educational attainment,6,62.783236294,1.252760577,Advanced degree,50.345798421,1.196388984,1.247040235,0.0386955,74.81326329,0.927761767,Advanced degree,65.891113018,1.192314209,1.135407491,0.0249072,-0.111632744,-2.425819202,Decrease
|
|||
|
HDS-17.1,"HDS-17.1. Adults who are aware of stroke symptoms and the importance of calling 9-1-1 (age-adjusted percent, ages 20 and over)",HDS,Family income,5,58.736077433,1.164332981,At or above 600% of the poverty threshold,47.992283955,1.177896105,1.223865017,0.0386117,73.726926918,0.878948752,At or above 600% of the poverty threshold,64.194743165,1.215345526,1.148488541,0.0256952,-0.075376476,-1.625193505,Little or no detectable change
|
|||
|
HDS-17.1,"HDS-17.1. Adults who are aware of stroke symptoms and the importance of calling 9-1-1 (age-adjusted percent, ages 20 and over)",HDS,Disability status,2,67.543481037,0.589929403,People without disabilities,58.965042666,1.586395158,1.145483459,0.0324014,67.580089311,0.611230125,People without disabilities,61.663023496,1.533600896,1.095958088,0.0290037,-0.049525,-1.138872246,Little or no detectable change
|
|||
|
HDS-17.1,"HDS-17.1. Adults who are aware of stroke symptoms and the importance of calling 9-1-1 (age-adjusted percent, ages 20 and over)",HDS,Geographic location,2,52.64666489,1.394616614,Nonmetropolitan,50.957158652,0.519780202,1.033155425,0.0293273,68.24333698,1.398190736,Nonmetropolitan,67.186699485,0.459895684,1.015726885,0.0219412,-0.017429,-0.475843606,Little or no detectable change
|
|||
|
HDS-17.2,"HDS-17.2. Adults who are aware of stroke symptoms (age-adjusted percent, ages 20 and over)",HDS,Sex,2,56.252197138,0.6207403,Female,51.347637148,0.630102293,1.095516761,0.0180795,70.906340178,0.534733168,Female,66.695881912,0.611743354,1.063129209,0.012624,-0.032388,-1.46877578,Little or no detectable change
|
|||
|
HDS-17.2,"HDS-17.2. Adults who are aware of stroke symptoms (age-adjusted percent, ages 20 and over)",HDS,Race and ethnicity,7,58.707712173,0.585128491,"White only, not Hispanic or Latino",44.115137178,4.975583432,1.330783852,0.150679105,72.79947815,0.492774341,"White only, not Hispanic or Latino",62.079641083,3.819805761,1.172678786,0.072591084,-0.158105066,-0.945303252,Little or no detectable change
|
|||
|
HDS-17.2,"HDS-17.2. Adults who are aware of stroke symptoms (age-adjusted percent, ages 20 and over)",HDS,Educational attainment,6,65.166674804,1.238604042,Advanced degree,53.070572025,1.191689489,1.227924862,0.0361242,76.466644908,0.911945638,Advanced degree,67.449696508,1.176674679,1.133684047,0.0239571,-0.094240814,-2.174135434,Decrease
|
|||
|
HDS-17.2,"HDS-17.2. Adults who are aware of stroke symptoms (age-adjusted percent, ages 20 and over)",HDS,Family income,5,61.533713655,1.155971076,At or above 600% of the poverty threshold,50.590129075,1.166996374,1.216318574,0.0361848,75.201328802,0.875977729,At or above 600% of the poverty threshold,65.854656564,1.189520455,1.141928798,0.0245435,-0.074389776,-1.701376312,Little or no detectable change
|
|||
|
HDS-17.2,"HDS-17.2. Adults who are aware of stroke symptoms (age-adjusted percent, ages 20 and over)",HDS,Disability status,2,69.506555624,0.582223584,People without disabilities,61.609184343,1.639161188,1.128184967,0.0314688,68.893587333,0.598354251,People without disabilities,63.76710652,1.503488068,1.080393813,0.0271466,-0.047791,-1.149935569,Little or no detectable change
|
|||
|
HDS-17.2,"HDS-17.2. Adults who are aware of stroke symptoms (age-adjusted percent, ages 20 and over)",HDS,Geographic location,2,55.446452393,1.360072136,Nonmetropolitan,53.525443598,0.516425462,1.035889638,0.0273047,70.049444085,1.326891867,Nonmetropolitan,68.724141647,0.456032366,1.01928438,0.0204579,-0.016605,-0.486692845,Little or no detectable change
|
|||
|
HDS-17.3,"HDS-17.3. Adults who are aware of the importance of calling 9-1-1 for a stroke (age-adjusted percent, ages 20 and over)",HDS,Sex,2,93.501811327,0.29087105,Female,91.866387866,0.365410575,1.017802196,0.00513955,96.708041305,0.22280974,Female,96.079488536,0.230304475,1.006542008,0.00334648,-0.01126,-1.835994613,Little or no detectable change
|
|||
|
HDS-17.3,"HDS-17.3. Adults who are aware of the importance of calling 9-1-1 for a stroke (age-adjusted percent, ages 20 and over)",HDS,Race and ethnicity,7,93.783283195,0.271107888,"White only, not Hispanic or Latino",88.96926859,3.292985781,1.054108735,0.0391341,98.706439259,1.216557075,Native Hawaiian or Other Pacific Islander only,95.828935608,0.997735832,1.030027503,0.0166185,-0.024081,-0.566396753,Little or no detectable change
|
|||
|
HDS-17.3,"HDS-17.3. Adults who are aware of the importance of calling 9-1-1 for a stroke (age-adjusted percent, ages 20 and over)",HDS,Educational attainment,6,95.149424489,0.53596436,Advanced degree,92.502556813,0.622716297,1.028613995,0.0090288,97.286592573,0.379164424,Associates degree,96.081884798,0.469362194,1.012538345,0.00632761,-0.016076,-1.45806207,Little or no detectable change
|
|||
|
HDS-17.3,"HDS-17.3. Adults who are aware of the importance of calling 9-1-1 for a stroke (age-adjusted percent, ages 20 and over)",HDS,Family income,5,94.25474248,0.550435851,At or above 600% of the poverty threshold,91.838056392,0.674003618,1.026314648,0.0096258,97.251315298,0.320611465,At 400%-599% of the poverty threshold,95.860143688,0.516143686,1.014512513,0.00640507,-0.011802,-1.020764541,Little or no detectable change
|
|||
|
HDS-17.3,"HDS-17.3. Adults who are aware of the importance of calling 9-1-1 for a stroke (age-adjusted percent, ages 20 and over)",HDS,Disability status,2,95.76659775,0.252690427,People without disabilities,92.321818453,1.234137674,1.037312732,0.0141341,96.907280332,0.233052594,People without disabilities,94.277742722,0.778055784,1.027891393,0.0088358,-0.009421,-0.56521201,Little or no detectable change
|
|||
|
HDS-17.3,"HDS-17.3. Adults who are aware of the importance of calling 9-1-1 for a stroke (age-adjusted percent, ages 20 and over)",HDS,Geographic location,2,92.845182492,0.258737895,Metropolitan,92.002653365,0.63716787,1.009157661,0.00753356,96.4349974,0.174619964,Metropolitan,96.296370923,0.466602025,1.001439582,0.00518021,-0.0077181,-0.844178762,Little or no detectable change
|
|||
|
HDS-19.1,HDS-19.1. Heart attack patients who receive fibrinolytic therapy within 30 minutes of hospital arrival (percent),HDS,Sex,2,71.014492754,3.161042514,Male,66.666666667,5.847053462,1.065217391,0.104769331,59.016393443,6.349153027,Female,58.974358974,3.95087649,1.000712758,0.126826881,-0.064504633,-0.392115138,Little or no detectable change
|
|||
|
HDS-19.1,HDS-19.1. Heart attack patients who receive fibrinolytic therapy within 30 minutes of hospital arrival (percent),HDS,Race and ethnicity,3,82.608695652,8.081046759,"Black or African American only, not Hispanic or Latino",66.20732209,15.529512532,1.247727488,0.317097677,63.157894737,11.369720524,Hispanic or Latino,54.143980641,12.339602695,1.166480447,0.338776554,-0.081247041,-0.175091423,Little or no detectable change
|
|||
|
HDS-19.2,HDS-19.2. Heart attack patients receiving percutaneous intervention within 90 minutes of hospital arrival (percent),HDS,Sex,2,91.518761167,0.304088664,Male,87.640801001,0.582254563,1.044248342,0.0077569,96.480749524,0.099706767,Male,94.887354927,0.191838751,1.016792486,0.0023087,-0.027456,-3.392468822,Decrease
|
|||
|
HDS-19.2,HDS-19.2. Heart attack patients receiving percutaneous intervention within 90 minutes of hospital arrival (percent),HDS,Race and ethnicity,7,90.969252698,0.289221985,"White only, not Hispanic or Latino",72.798174065,7.027155836,1.249608989,0.120689274,97.590361446,1.69345043,Native Hawaiian or Other Pacific Islander only,94.715059998,1.274755926,1.030357384,0.022627,-0.219251605,-1.785552558,Little or no detectable change
|
|||
|
HDS-19.3,HDS-19.3. Stroke patients receiving acute reperfusion therapy within 3 hours of symptom onset (percent),HDS,Sex,2,75.829153859,0.544545922,Male,72.590266876,0.558884184,1.04461875,0.0109982,88.756898326,0.305516689,Male,88.302372632,0.308205256,1.005147378,0.00492738,-0.039471,-3.275226838,Decrease
|
|||
|
HDS-19.3,HDS-19.3. Stroke patients receiving acute reperfusion therapy within 3 hours of symptom onset (percent),HDS,Race and ethnicity,7,88.235294118,7.814247557,Two or more races,71.552434077,5.938995317,1.233155731,0.149677204,100,0,Two or more races,88.852986009,2.937761172,1.125454579,0.0372111,-0.107701151,-0.698299952,Little or no detectable change
|
|||
|
HDS-20.1,"HDS-20.1. Adults with coronary heart disease who have their low-density lipoprotein (LDL) cholesterol at or below recommended levels (age-adjusted percent, ages 20 and over)",HDS,Sex,2,54.573391042,6.979859299,Male,50.759284016,7.680337162,1.075141072,0.213009473,53.86931355,6.834147736,Male,41.480212096,7.811041121,1.298674978,0.294872381,0.223533906,0.614506014,Little or no detectable change
|
|||
|
HDS-20.1,"HDS-20.1. Adults with coronary heart disease who have their low-density lipoprotein (LDL) cholesterol at or below recommended levels (age-adjusted percent, ages 20 and over)",HDS,Educational attainment,3,63.440717892,12.487397734,College graduate or above,41.689194352,14.022823058,1.521754471,0.593067183,61.743405126,14.459455635,College graduate or above,45.000022543,9.526598686,1.372074982,0.433152069,-0.149679489,-0.203810799,Little or no detectable change
|
|||
|
HDS-20.1,"HDS-20.1. Adults with coronary heart disease who have their low-density lipoprotein (LDL) cholesterol at or below recommended levels (age-adjusted percent, ages 20 and over)",HDS,Family income,4,87.881844519,3.877923463,Above 500% of the poverty threshold,45.363456362,11.838593207,1.937282817,0.512752881,50.172729358,8.277119673,Below the poverty threshold (<100%),37.533438822,10.058596225,1.336747469,0.420671481,-0.600535348,-0.90546457,Little or no detectable change
|
|||
|
HDS-20.1,"HDS-20.1. Adults with coronary heart disease who have their low-density lipoprotein (LDL) cholesterol at or below recommended levels (age-adjusted percent, ages 20 and over)",HDS,Disability status,2,59.219345072,6.732930139,People without activity limitations,43.332523382,6.411892993,1.366625815,0.255019418,53.012509107,7.517256705,People without activity limitations,40.598526473,7.284753399,1.305774217,0.298632079,-0.060852,-0.154955587,Little or no detectable change
|
|||
|
HDS-20.2,"HDS-20.2. Adults who have had a stroke who have their low-density lipoprotein (LDL) cholesterol at or below recommended levels (age-adjusted percent, ages 20 and over)",HDS,Sex,2,35.400015552,9.2281197,Female,15.91196955,2.553505319,2.224741283,0.681030977,33.25787259,5.85379564,Male,25.520815299,7.407210592,1.303166541,0.442349159,-0.921574742,-1.134830699,Little or no detectable change
|
|||
|
HDS-20.2,"HDS-20.2. Adults who have had a stroke who have their low-density lipoprotein (LDL) cholesterol at or below recommended levels (age-adjusted percent, ages 20 and over)",HDS,Disability status,2,56.379644781,12.240723849,People with activity limitations,44.665882141,10.798150365,1.262253024,0.410150203,36.295330923,9.28135234,People without activity limitations,25.464615022,4.342966965,1.425324156,0.438106826,0.163071133,0.271724551,Little or no detectable change
|
|||
|
HDS-21,HDS-21. Physician office visits by adults with a history of cardiovascular disease that include prescription of aspirin or other antiplatelet medication to prevent recurrent cardiovascular events (percent),HDS,Sex,2,49.351743366,2.651557032,Female,40.887621508,2.723382485,1.207009397,0.103289953,52.684695116,3.263995494,Male,50.882383224,2.454882116,1.035421137,0.081304755,-0.171588259,-1.305343397,Little or no detectable change
|
|||
|
HDS-21,HDS-21. Physician office visits by adults with a history of cardiovascular disease that include prescription of aspirin or other antiplatelet medication to prevent recurrent cardiovascular events (percent),HDS,Race and ethnicity,3,46.795830138,2.449196734,"White only, not Hispanic or Latino",41.564226704,8.675826169,1.125867936,0.242280733,53.848048184,2.345750705,"White only, not Hispanic or Latino",43.422395264,8.284906572,1.240098522,0.242697019,0.114230586,0.333100608,Little or no detectable change
|
|||
|
HDS-21,HDS-21. Physician office visits by adults with a history of cardiovascular disease that include prescription of aspirin or other antiplatelet medication to prevent recurrent cardiovascular events (percent),HDS,Geographic location,2,47.849276275,2.465943672,Metropolitan,35.830637721,4.312454223,1.3354291,0.174842495,52.866461191,2.314910399,Metropolitan,38.250343582,6.59734662,1.382117289,0.245947272,0.0466882,0.154718879,Little or no detectable change
|
|||
|
HDS-22,HDS-22. Heart attack survivors referred to a cardiac rehabilitation program (percent),HDS,Sex,2,78.810020877,0.226433375,Male,73.51934052,0.351368741,1.07196311,0.00597771,71.66388641,0.12552228,Male,65.705142998,0.186190493,1.090689148,0.00363347,0.018726,2.676919686,Increase
|
|||
|
HDS-22,HDS-22. Heart attack survivors referred to a cardiac rehabilitation program (percent),HDS,Race and ethnicity,7,78.248476509,0.204508922,"White only, not Hispanic or Latino",71.087329831,4.639425151,1.100737314,0.071895817,71.216699434,0.116292122,"White only, not Hispanic or Latino",65.056500562,1.696904686,1.094689982,0.0286093,-0.0060473,-0.078152167,Little or no detectable change
|
|||
|
HDS-23,HDS-23. Stroke survivors assessed for or referred to stroke rehabilitation services (percent),HDS,Sex,2,96.43860567,0.0576844,Female,96.005349341,0.062571138,1.004512835,0.000888612,98.092594496,0.03581,Female,97.96466556,0.0368225,1.001305868,0.000524663,-0.003207,-3.107704508,Decrease
|
|||
|
HDS-23,HDS-23. Stroke survivors assessed for or referred to stroke rehabilitation services (percent),HDS,Race and ethnicity,7,96.71735905,0.242653433,Asian only,95.553585662,0.744742655,1.012179275,0.0082876,99.14945322,0.32009774,Native Hawaiian or Other Pacific Islander only,98.073209281,0.480826009,1.010973883,0.00593464,-0.0012054,-0.118253212,Little or no detectable change
|
|||
|
HDS-24.1,"HDS-24.1. Heart failure hospitalizations (per 1,000 population, ages 65-74)",HDS,Sex,2,8.887189284,0.610410742,Female,12.189752349,1.13097173,1.371609399,0.158334862,7.163688433,0.928909196,Female,10.557904256,1.517858606,1.47380841,0.28533516,0.102199011,0.313184506,Little or no detectable change
|
|||
|
HDS-24.2,"HDS-24.2. Heart failure hospitalizations (per 1,000 population, ages 75-84)",HDS,Sex,2,21.429577434,1.228765006,Female,26.238580842,2.276640833,1.224409624,0.127340583,18.923949197,2.594457245,Female,25.35759879,3.36553709,1.339973941,0.25569138,0.115564318,0.404571634,Little or no detectable change
|
|||
|
HDS-24.3,"HDS-24.3. Heart failure hospitalizations (per 1,000 population, ages 85 and over)",HDS,Sex,2,38.242930123,3.215594712,Male,38.967752367,2.319709747,1.018953104,0.104975471,40.851937388,5.385519467,Female,49.557444616,7.065772167,1.213099005,0.235564719,0.194145901,0.752805595,Little or no detectable change
|
|||
|
HDS-25,"HDS-25. Physician office visits by adults with hypertension whose blood pressure is controlled (percent, ages 18 and over)",HDS,Sex,2,58.646247958,1.099494604,Female,57.939257857,1.345505582,1.012202264,0.0302101,64.965570089,1.170971261,Female,63.918381247,1.453463346,1.016383219,0.0294919,0.00418096,0.099030734,Little or no detectable change
|
|||
|
HDS-25,"HDS-25. Physician office visits by adults with hypertension whose blood pressure is controlled (percent, ages 18 and over)",HDS,Race and ethnicity,3,60.871245416,2.74508289,Hispanic or Latino,54.974640151,2.29241486,1.107260461,0.06800911,66.845862455,0.962057858,"White only, not Hispanic or Latino",59.708771083,3.690621326,1.119531708,0.071049763,0.0122712,0.124767413,Little or no detectable change
|
|||
|
HDS-25,"HDS-25. Physician office visits by adults with hypertension whose blood pressure is controlled (percent, ages 18 and over)",HDS,Geographic location,2,58.712248861,1.115900075,Metropolitan,56.455257307,2.02118934,1.039978412,0.0421543,64.555404826,1.071379692,Metropolitan,63.715442739,2.370550518,1.013183022,0.0412761,-0.026795,-0.454178455,Little or no detectable change
|
|||
|
HIV-12,"HIV-12. HIV infection deaths (age adjusted, per 100,000 population)",HIV,Sex,2,2.081826941,0.0372054,Female,5.396833214,0.0604718,2.592354392,0.0546823,0.843420389,0.0226256,Female,2.414894166,0.0381694,2.863215304,0.089149318,0.270860911,2.589894916,Increase
|
|||
|
HIV-12,"HIV-12. HIV infection deaths (age adjusted, per 100,000 population)",HIV,Race and ethnicity,5,0.458432362,0.0532196,Asian or Pacific Islander,6.375812504,0.210324308,13.907858666,1.678488444,0.324902444,0.0391425,Asian or Pacific Islander,2.552153529,0.119027691,7.855137975,1.014780326,-6.052720691,-3.085913518,Decrease
|
|||
|
HIV-12,"HIV-12. HIV infection deaths (age adjusted, per 100,000 population)",HIV,Geographic location,2,1.995295322,0.067743581,Nonmetropolitan,3.995254375,0.0394881,2.002337364,0.070804738,1.197127446,0.052481,Nonmetropolitan,1.701006347,0.0243879,1.420906649,0.065537975,-0.581430715,-6.026390292,Decrease
|
|||
|
HIV-13,"HIV-13. Knowledge of serostatus among HIV-positive persons (percent, ages 13 years and over)",HIV,Sex,2,85.807664604,,Female,81.899980945,,1.047712876,,88.842669744,,Female,84.8,,1.047672992,,-0.000039884,,Little or no detectable change
|
|||
|
HIV-13,"HIV-13. Knowledge of serostatus among HIV-positive persons (percent, ages 13 years and over)",HIV,Race and ethnicity,6,86.272892794,,"White, not Hispanic or Latino",78.200257136,,1.103230296,,88.521628367,,"White, not Hispanic or Latino",83.452008269,,1.060748929,,-0.042481,,Little or no detectable change
|
|||
|
HIV-19,"HIV-19. Linkage to HIV medical care (percent, ages 13 years and over)",HIV,Sex,2,72.4,,Female,69.6,,1.040229885,,79,,Female,78.2,,1.010230179,,-0.03,,Little or no detectable change
|
|||
|
HIV-19,"HIV-19. Linkage to HIV medical care (percent, ages 13 years and over)",HIV,Race and ethnicity,7,100,,"Native Hawaiian or Other Pacific Islander, not Hispanic or Latino",71.133333333,,1.405810684,,84.8,,"American Indian or Alaska Native, not Hispanic or Latino",80.183333333,,1.057576387,,-0.348234297,,Decrease
|
|||
|
HIV-20,"HIV-20. Retention in HIV medical care among persons with diagnosed HIV infections (percent, ages 13 years and over)",HIV,Sex,2,56.1,,Female,54.2,,1.035055351,,57.6,,Female,57.6,,1,,-0.035055,,Little or no detectable change
|
|||
|
HIV-20,"HIV-20. Retention in HIV medical care among persons with diagnosed HIV infections (percent, ages 13 years and over)",HIV,Race and ethnicity,7,67.2,,"Two or more races, not Hispanic or Latino",50.116666667,,1.3408713,,67.5,,"Two or more races, not Hispanic or Latino",56.366666667,,1.197516263,,-0.143355038,,Decrease
|
|||
|
HIV-22.1,"HIV-22.1. Viral suppression (percent, ages 13 years and over)",HIV,Sex,2,46.7,,Male,43.7,,1.068649886,,62.2,,Male,59.4,,1.047138047,,-0.021512,,Little or no detectable change
|
|||
|
HIV-22.1,"HIV-22.1. Viral suppression (percent, ages 13 years and over)",HIV,Race and ethnicity,7,53.9,,"Asian, not Hispanic or Latino",45.1,,1.195121951,,69.8,,"Two or more races, not Hispanic or Latino",62.466666667,,1.117395945,,-0.077726007,,Little or no detectable change
|
|||
|
IID-1.2,"IID-1.2. Cases of Haemophilus (italics) influenzae (italics) type b in children (per 100,000, under age 5 years)",IID,Sex,2,0.17,,Female,0.42,,2.470588235,,0.14,,Male,0.23,,1.642857143,,-0.827731092,,Decrease
|
|||
|
IID-4.1,"IID-4.1. New invasive pneumococcal infections in children (per 100,000 population, under age 5 years)",IID,Sex,2,18.651601147,,Female,23.403053075,,1.25474767,,9.2,,Female,10,,1.086956522,,-0.167791148,,Decrease
|
|||
|
IID-4.2,"IID-4.2. New invasive pneumococcal infections in adults (per 100,000 population, ages 65 and over)",IID,Sex,2,39.30675463,,Female,42.559663864,,1.082757004,,29.2,,Female,32.2,,1.102739726,,0.0199827,,Little or no detectable change
|
|||
|
IID-4.3,"IID-4.3. Invasive antibiotic-resistant pneumococcal infections in children (per 100,000 population, under age 5 years)",IID,Sex,2,7.633131,,Female,8.979735,,1.176415681,,3.1,,Female,4.2,,1.35483871,,0.178423029,,Increase
|
|||
|
IID-4.4,"IID-4.4. Invasive antibiotic-resistant pneumococcal infections in adults (per 100,000 population, ages 65 and over)",IID,Sex,2,11.892999,,Male,12.577509,,1.05755571,,10.1,,Male,10.3,,1.01980198,,-0.037754,,Little or no detectable change
|
|||
|
IID-5,"IID-5. Antibiotics prescribed for ear infections in children (percent, under age 5 years)",IID,Sex,2,73.9647,3.6386,Female,80.5219,2.4659,1.088653101,0.063084146,77.335,3.0292,Female,80.1443,2.2949,1.036326372,0.0502828,-0.052327,-0.648635464,Little or no detectable change
|
|||
|
IID-5,"IID-5. Antibiotics prescribed for ear infections in children (percent, under age 5 years)",IID,Race and ethnicity,3,76.0641,6.6602,Hispanic or Latino,79.41865,9.0814253,1.04410162,0.150374047,75.6702,2.7302,"White only, not Hispanic or Latino",82.64305,5.290555905,1.0921479,0.080255814,0.0480463,0.281878313,Little or no detectable change
|
|||
|
IID-6,IID-6. Antibiotics prescribed for common cold (percent),IID,Sex,2,25.1138,3.1957,Male,31.3516,3.3967,1.248381368,0.208633889,28.0671,3.345,Male,33.5184,3.5974,1.194223842,0.191532267,-0.054158,-0.191221721,Little or no detectable change
|
|||
|
IID-6,IID-6. Antibiotics prescribed for common cold (percent),IID,Race and ethnicity,3,20.9788,6.9591,Hispanic or Latino,37.06845,9.92229766,1.766948062,0.753160368,28.5454,3.346,"White only, not Hispanic or Latino",35.0875,9.174632957,1.229182285,0.352222117,-0.537765777,-0.646779788,Little or no detectable change
|
|||
|
IID-7.1,IID-7.1. Children receiving 4 or more doses of DTaP vaccine by ages 19-35 months (percent),IID,Sex,2,83.129593003,0.767179346,Male,81.910582254,0.903189882,1.014882213,0.0145929,84.422727291,0.902302406,Female,83.190695995,1.103711318,1.014809725,0.0172891,-0.00007249,-0.003204,Little or no detectable change
|
|||
|
IID-7.1,IID-7.1. Children receiving 4 or more doses of DTaP vaccine by ages 19-35 months (percent),IID,Race and ethnicity,6,88.316475605,2.013937466,Asian only,81.941507029,2.360416741,1.077799016,0.0395979,88.099568738,2.007260615,Asian only,81.691470966,3.052212274,1.078442678,0.0471944,0.000643663,0.010448,Little or no detectable change
|
|||
|
IID-7.1,IID-7.1. Children receiving 4 or more doses of DTaP vaccine by ages 19-35 months (percent),IID,Educational attainment,6,89.048426709,1.125196331,Advanced degree,82.605517694,1.841682063,1.07799611,0.0276254,91.875604206,0.975852462,Advanced degree,82.516871346,2.151099268,1.113415992,0.031342,0.0354199,0.847791889,Little or no detectable change
|
|||
|
IID-7.1,IID-7.1. Children receiving 4 or more doses of DTaP vaccine by ages 19-35 months (percent),IID,Family income,5,91.574237958,0.884306415,At 400%-599% of the poverty threshold,83.112868289,1.486216419,1.101805771,0.0223917,91.094232019,1.138678112,At or above 600% of the poverty threshold,83.592057836,1.682330743,1.089747452,0.0258177,-0.012058,-0.352838363,Little or no detectable change
|
|||
|
IID-7.1,IID-7.1. Children receiving 4 or more doses of DTaP vaccine by ages 19-35 months (percent),IID,Geographic location,2,84.951874416,0.807048008,Metropolitan,82.671974775,1.502824126,1.02757766,0.0210765,84.081172147,0.793097056,Metropolitan,81.497392541,1.315247849,1.031703832,0.0192855,0.00412617,0.144431435,Little or no detectable change
|
|||
|
IID-7.2,IID-7.2. Children receiving 3 or more or 4 or more doses of Hib vaccine by ages 19-35 months (percent),IID,Sex,2,81.638938595,0.788438092,Male,80.161441285,0.890228783,1.018431521,0.0149886,82.485424516,0.918067093,Female,82.098053963,1.103996291,1.004718389,0.0175382,-0.013713,-0.594400756,Little or no detectable change
|
|||
|
IID-7.2,IID-7.2. Children receiving 3 or more or 4 or more doses of Hib vaccine by ages 19-35 months (percent),IID,Race and ethnicity,6,85.590860711,2.148825725,Asian only,79.353209477,2.54658101,1.078606162,0.0439481,84.482040903,0.769897857,"White only, not Hispanic or Latino",81.034124431,3.255125595,1.042548945,0.0429432,-0.036057,-0.586815794,Little or no detectable change
|
|||
|
IID-7.2,IID-7.2. Children receiving 3 or more or 4 or more doses of Hib vaccine by ages 19-35 months (percent),IID,Educational attainment,6,88.312790291,1.308779658,Advanced degree,81.298371212,1.777512743,1.086279946,0.0286923,90.276624225,0.999508235,Advanced degree,81.561125837,2.089241638,1.106858486,0.0308879,0.0205785,0.488126868,Little or no detectable change
|
|||
|
IID-7.2,IID-7.2. Children receiving 3 or more or 4 or more doses of Hib vaccine by ages 19-35 months (percent),IID,Family income,5,90.453662498,1.095456567,At 400%-599% of the poverty threshold,81.797596521,1.459618753,1.105822987,0.023848,89.756437098,1.463147622,At or above 600% of the poverty threshold,82.130412865,1.663539935,1.092852623,0.028414,-0.01297,-0.349646839,Little or no detectable change
|
|||
|
IID-7.2,IID-7.2. Children receiving 3 or more or 4 or more doses of Hib vaccine by ages 19-35 months (percent),IID,Geographic location,2,82.325624764,0.868630088,Metropolitan,80.050128028,1.665657386,1.028425898,0.0239931,82.711484537,0.773767689,Metropolitan,78.911918134,1.981247137,1.048149462,0.0280834,0.0197236,0.533977587,Little or no detectable change
|
|||
|
IID-7.3,IID-7.3. Children receiving 3 or more doses of hepatitis B vaccine by ages 19-35 months (percent),IID,Sex,2,89.98893586,0.617600725,Female,89.470589577,0.603934878,1.005793482,0.0096821,92.71358835,0.620739559,Female,91.459342572,0.686653197,1.013713698,0.0101974,0.0079202,0.563250411,Little or no detectable change
|
|||
|
IID-7.3,IID-7.3. Children receiving 3 or more doses of hepatitis B vaccine by ages 19-35 months (percent),IID,Race and ethnicity,6,94.113909784,1.645308909,American Indian or Alaska Native only,90.764740046,1.222601775,1.036899458,0.0228839,92.698582278,0.520910166,"White only, not Hispanic or Latino",91.210022784,2.520749764,1.016320131,0.0286625,-0.020579,-0.561093789,Little or no detectable change
|
|||
|
IID-7.3,IID-7.3. Children receiving 3 or more doses of hepatitis B vaccine by ages 19-35 months (percent),IID,Educational attainment,6,90.884745261,0.752268911,4-year college degree,89.872363491,1.455411816,1.011264662,0.0183918,94.602940915,0.85010662,Advanced degree,90.87998914,1.834582317,1.040965583,0.0230018,0.0297009,1.008498713,Little or no detectable change
|
|||
|
IID-7.3,IID-7.3. Children receiving 3 or more doses of hepatitis B vaccine by ages 19-35 months (percent),IID,Family income,5,91.846703885,0.875318943,At 400%-599% of the poverty threshold,89.642859905,1.177746765,1.024584713,0.0166298,95.174716308,0.654868383,At 400%-599% of the poverty threshold,91.726887399,1.282588776,1.037587985,0.0161697,0.0130033,0.560605734,Little or no detectable change
|
|||
|
IID-7.3,IID-7.3. Children receiving 3 or more doses of hepatitis B vaccine by ages 19-35 months (percent),IID,Geographic location,2,91.003135844,1.197090534,Nonmetropolitan,89.485015393,0.707765551,1.01696508,0.0156095,92.149489986,0.51193533,Metropolitan,91.457584677,0.94123321,1.007565314,0.0117837,-0.0094,-0.480611884,Little or no detectable change
|
|||
|
IID-7.4,IID-7.4. Children receiving 1 or more doses of MMR vaccine by ages 19-35 months (percent),IID,Sex,2,91.17989816,0.552417209,Female,90.398131268,0.648133567,1.008648043,0.0094679,92.572682851,0.647864946,Female,91.631413849,0.633880673,1.01027234,0.0099415,0.0016243,0.118314718,Little or no detectable change
|
|||
|
IID-7.4,IID-7.4. Children receiving 1 or more doses of MMR vaccine by ages 19-35 months (percent),IID,Race and ethnicity,6,91.111398332,1.513271009,Two or more races,90.152587044,2.112252836,1.010635427,0.029025,94.892193988,1.350305944,Asian only,91.60623602,1.97174432,1.035870462,0.0267282,0.025235,0.6395591,Little or no detectable change
|
|||
|
IID-7.4,IID-7.4. Children receiving 1 or more doses of MMR vaccine by ages 19-35 months (percent),IID,Educational attainment,6,93.353881949,0.987336201,Advanced degree,90.784777688,1.359233824,1.028298844,0.0188496,95.338950349,0.785971766,Advanced degree,91.10431151,1.492652958,1.046481212,0.0191937,0.0181824,0.675880348,Little or no detectable change
|
|||
|
IID-7.4,IID-7.4. Children receiving 1 or more doses of MMR vaccine by ages 19-35 months (percent),IID,Family income,5,94.486114052,0.678653138,At 400%-599% of the poverty threshold,90.701695994,1.250092009,1.041723785,0.0161902,95.793959549,0.593068361,At 400%-599% of the poverty threshold,91.855084179,1.161871107,1.042881408,0.0146867,0.00115762,0.0529583,Little or no detectable change
|
|||
|
IID-7.4,IID-7.4. Children receiving 1 or more doses of MMR vaccine by ages 19-35 months (percent),IID,Geographic location,2,91.08772375,0.699189788,Metropolitan,91.060712633,1.088801337,1.000296628,0.0142129,92.2781358,0.499513503,Metropolitan,90.60513424,0.909774111,1.018464754,0.0116179,0.0181681,0.989706066,Little or no detectable change
|
|||
|
IID-7.5,IID-7.5. Children receiving 3 or more doses of polio vaccine by ages 19-35 months (percent),IID,Sex,2,93.218533742,0.527221775,Female,92.322841121,0.529131325,1.009701745,0.0081302,93.995855415,0.474486259,Female,93.155311348,0.580207562,1.00902304,0.0080895,-0.0006787,-0.059177,Little or no detectable change
|
|||
|
IID-7.5,IID-7.5. Children receiving 3 or more doses of polio vaccine by ages 19-35 months (percent),IID,Race and ethnicity,6,95.509016695,1.368617897,American Indian or Alaska Native only,92.720167775,1.297800132,1.030078126,0.0206339,95.21271544,1.293023047,Asian only,92.508213535,1.959535596,1.029235262,0.0258974,-0.00084286,-0.025455,Little or no detectable change
|
|||
|
IID-7.5,IID-7.5. Children receiving 3 or more doses of polio vaccine by ages 19-35 months (percent),IID,Educational attainment,6,94.695979519,0.518111696,4-year college degree,92.631516138,1.244831195,1.022286836,0.014833,96.165775816,0.7567267,Advanced degree,92.74408153,1.336685225,1.036893937,0.0170267,0.0146071,0.646860252,Little or no detectable change
|
|||
|
IID-7.5,IID-7.5. Children receiving 3 or more doses of polio vaccine by ages 19-35 months (percent),IID,Family income,5,95.388183898,0.650547219,At 400%-599% of the poverty threshold,92.787390917,1.038514247,1.028029595,0.0134739,96.337405919,0.832270132,At or above 600% of the poverty threshold,93.471008157,0.898031744,1.030666169,0.0133168,0.00263657,0.139175683,Little or no detectable change
|
|||
|
IID-7.5,IID-7.5. Children receiving 3 or more doses of polio vaccine by ages 19-35 months (percent),IID,Geographic location,2,93.365282515,0.574869079,Metropolitan,92.582998943,1.098800844,1.008449538,0.0134834,93.744308394,0.412513902,Metropolitan,92.147486117,0.882148504,1.017328984,0.0107187,0.0088794,0.515505093,Little or no detectable change
|
|||
|
IID-7.6,IID-7.6. Children receiving 1 or more doses of varicella vaccine by ages 19-35 months (percent),IID,Sex,2,90.685498306,0.560217793,Female,89.818091263,0.645779486,1.009657376,0.0095708,92.4638539,0.518003631,Female,91.485200968,0.633140268,1.010697391,0.0089992,0.00104002,0.079165487,Little or no detectable change
|
|||
|
IID-7.6,IID-7.6. Children receiving 1 or more doses of varicella vaccine by ages 19-35 months (percent),IID,Race and ethnicity,6,92.386636027,1.490092223,Asian only,90.370239963,1.745739424,1.022312612,0.0257272,94.648695683,1.31125246,Asian only,91.248927768,2.094514787,1.037258168,0.0278095,0.0149456,0.39449993,Little or no detectable change
|
|||
|
IID-7.6,IID-7.6. Children receiving 1 or more doses of varicella vaccine by ages 19-35 months (percent),IID,Educational attainment,6,91.899373714,0.683309688,4-year college degree,89.912705119,1.458612696,1.022095527,0.0182396,94.636073943,0.82572855,Advanced degree,91.253823265,1.40304843,1.037064208,0.0183337,0.0149687,0.578804917,Little or no detectable change
|
|||
|
IID-7.6,IID-7.6. Children receiving 1 or more doses of varicella vaccine by ages 19-35 months (percent),IID,Family income,5,93.28963799,0.76845827,At 400%-599% of the poverty threshold,90.154025269,1.144532198,1.034780618,0.0156599,95.41064911,0.661974221,At 400%-599% of the poverty threshold,91.745664633,1.035065444,1.039947222,0.0137737,0.0051666,0.247734852,Little or no detectable change
|
|||
|
IID-7.6,IID-7.6. Children receiving 1 or more doses of varicella vaccine by ages 19-35 months (percent),IID,Geographic location,2,91.109172295,0.624647858,Metropolitan,89.749120427,1.133810032,1.01515393,0.0145914,92.159934101,0.451255548,Metropolitan,90.399652743,0.909734547,1.019472214,0.0114094,0.00431828,0.233137042,Little or no detectable change
|
|||
|
IID-7.7,IID-7.7. Children receiving 4 or more doses of pneumococcal conjugate vaccine (PCV) by ages 19-35 months (percent),IID,Sex,2,82.200754225,0.773422389,Male,81.596412947,0.87665275,1.007406469,0.0143871,83.438593615,0.910949046,Female,83.078272268,1.137786471,1.004337131,0.0175904,-0.0030693,-0.135066082,Little or no detectable change
|
|||
|
IID-7.7,IID-7.7. Children receiving 4 or more doses of pneumococcal conjugate vaccine (PCV) by ages 19-35 months (percent),IID,Race and ethnicity,5,83.486288768,0.691586932,"White only, not Hispanic or Latino",80.683677711,2.202547145,1.034735787,0.0295187,85.452554335,0.783615946,"White only, not Hispanic or Latino",81.02238846,3.029692338,1.054678293,0.0406065,0.0199425,0.397245421,Little or no detectable change
|
|||
|
IID-7.7,IID-7.7. Children receiving 4 or more doses of pneumococcal conjugate vaccine (PCV) by ages 19-35 months (percent),IID,Educational attainment,6,88.5194664,0.872803921,4-year college degree,81.633219439,1.892627708,1.08435594,0.0273194,91.972822096,0.947211728,Advanced degree,81.877009241,2.201518615,1.123304612,0.0323433,0.0389487,0.919963699,Little or no detectable change
|
|||
|
IID-7.7,IID-7.7. Children receiving 4 or more doses of pneumococcal conjugate vaccine (PCV) by ages 19-35 months (percent),IID,Family income,5,90.432403917,1.308504365,At or above 600% of the poverty threshold,82.837870878,1.311953996,1.091679481,0.0234189,91.524211233,1.460471875,At or above 600% of the poverty threshold,82.945153907,1.712151942,1.103430483,0.0287893,0.011751,0.316640339,Little or no detectable change
|
|||
|
IID-7.7,IID-7.7. Children receiving 4 or more doses of pneumococcal conjugate vaccine (PCV) by ages 19-35 months (percent),IID,Geographic location,2,82.618962105,0.928575353,Metropolitan,80.021132352,2.006687689,1.032464296,0.0283726,83.669194614,0.787349495,Metropolitan,79.952852656,1.988190321,1.046481668,0.0278239,0.0140174,0.35273776,Little or no detectable change
|
|||
|
IID-7.8,IID-7.8. Children receiving 2 or more doses of hepatitis A vaccine by ages 19-35 months (percent),IID,Sex,2,54.481235828,1.074745962,Female,51.637186036,1.018221248,1.055077552,0.0294285,62.205820801,1.251467985,Female,61.911728974,1.194722431,1.00475018,0.0280093,-0.050327,-1.238763357,Little or no detectable change
|
|||
|
IID-7.8,IID-7.8. Children receiving 2 or more doses of hepatitis A vaccine by ages 19-35 months (percent),IID,Race and ethnicity,5,58.968589895,3.607485687,Asian only,52.423150912,2.285693912,1.124857794,0.084503591,63.678392364,1.045344917,"White only, not Hispanic or Latino",60.461364489,3.464967987,1.053207993,0.062785538,-0.071649801,-0.680594848,Little or no detectable change
|
|||
|
IID-7.8,IID-7.8. Children receiving 2 or more doses of hepatitis A vaccine by ages 19-35 months (percent),IID,Educational attainment,6,57.349554379,1.616993224,4-year college degree,54.141779856,2.355418644,1.059247674,0.0549139,67.136650902,2.185111722,Advanced degree,61.937675497,2.629849587,1.08393882,0.0579896,0.0246911,0.309163028,Little or no detectable change
|
|||
|
IID-7.8,IID-7.8. Children receiving 2 or more doses of hepatitis A vaccine by ages 19-35 months (percent),IID,Family income,5,58.153643648,2.312205717,At or above 600% of the poverty threshold,53.515234394,1.827229618,1.086674557,0.0569515,68.311806747,2.236408881,At 400%-599% of the poverty threshold,61.657856602,2.209826968,1.107917312,0.0537803,0.0212428,0.271191033,Little or no detectable change
|
|||
|
IID-7.8,IID-7.8. Children receiving 2 or more doses of hepatitis A vaccine by ages 19-35 months (percent),IID,Geographic location,2,53.091102447,1.136182156,Metropolitan,49.851328597,2.191855029,1.064988716,0.0520774,62.576843349,0.941708236,Metropolitan,57.906456744,1.934064889,1.080653987,0.0395882,0.0156653,0.239470937,Little or no detectable change
|
|||
|
IID-7.9,IID-7.9. Children receiving a birth dose of hepatitis B vaccine within 3 days of birth (percent),IID,Sex,2,71.069427211,0.989341018,Female,70.215699164,0.898739679,1.012158649,0.0191408,73.898068076,1.110581322,Female,73.076236467,1.105469921,1.011246222,0.0215636,-0.00091243,-0.031645,Little or no detectable change
|
|||
|
IID-7.9,IID-7.9. Children receiving a birth dose of hepatitis B vaccine within 3 days of birth (percent),IID,Race and ethnicity,6,75.663995151,1.700054298,"Black or African American only, not Hispanic or Latino",71.468058578,2.968557774,1.058710656,0.049997,84.302516624,3.152310101,American Indian or Alaska Native only,75.129217726,2.735811525,1.122100285,0.0585674,0.063389629,0.823184114,Little or no detectable change
|
|||
|
IID-7.9,IID-7.9. Children receiving a birth dose of hepatitis B vaccine within 3 days of birth (percent),IID,Educational attainment,6,74.262304441,1.634840071,High school graduate,68.51175476,2.243173982,1.083935227,0.0427658,77.181915748,2.155671973,Less than high school,72.643337486,2.325749694,1.062477557,0.0451409,-0.021458,-0.345077897,Little or no detectable change
|
|||
|
IID-7.9,IID-7.9. Children receiving a birth dose of hepatitis B vaccine within 3 days of birth (percent),IID,Family income,5,76.327378257,1.068501188,Below the poverty threshold (<100%),66.060558705,1.990795916,1.15541527,0.0383929,75.707136578,1.413823487,Below the poverty threshold (<100%),72.528157592,2.284373559,1.043830963,0.0382215,-0.111584307,-2.059712348,Decrease
|
|||
|
IID-7.9,IID-7.9. Children receiving a birth dose of hepatitis B vaccine within 3 days of birth (percent),IID,Geographic location,2,76.173016735,1.429193481,Nonmetropolitan,68.488405509,0.864622374,1.112203097,0.0251516,76.29528437,1.46858582,Nonmetropolitan,73.086836782,0.868579568,1.043899117,0.0236149,-0.06830398,-1.979809434,Decrease
|
|||
|
IID-7.10,IID-7.10. Children receiving 2 or more doses of rotavirus vaccine by ages 19-35 months (percent),IID,Sex,2,68.640108357,0.955492175,Male,68.536309454,1.009025901,1.00151451,0.0202922,75.787381452,1.062332511,Female,73.704596794,1.272629752,1.028258545,0.0228685,0.026744,0.874744358,Little or no detectable change
|
|||
|
IID-7.10,IID-7.10. Children receiving 2 or more doses of rotavirus vaccine by ages 19-35 months (percent),IID,Race and ethnicity,5,71.328566819,3.32340329,Asian only,67.670029069,2.153314217,1.054064374,0.0594726,78.774125525,0.85810126,"White only, not Hispanic or Latino",71.900686685,3.477708739,1.095596289,0.0543193,0.0415319,0.515632931,Little or no detectable change
|
|||
|
IID-7.10,IID-7.10. Children receiving 2 or more doses of rotavirus vaccine by ages 19-35 months (percent),IID,Educational attainment,6,77.777977801,1.392617348,Advanced degree,68.674317479,2.183903793,1.132562807,0.0413329,86.641394206,1.134377091,Advanced degree,72.765024171,2.534962803,1.190701098,0.044314,0.0581383,0.959406906,Little or no detectable change
|
|||
|
IID-7.10,IID-7.10. Children receiving 2 or more doses of rotavirus vaccine by ages 19-35 months (percent),IID,Family income,5,78.316563288,2.198141684,At or above 600% of the poverty threshold,69.603694998,1.637413709,1.125178244,0.0412067,87.385276701,1.547887549,At or above 600% of the poverty threshold,74.119944364,1.921968764,1.178971159,0.0370234,0.0537929,0.97106128,Little or no detectable change
|
|||
|
IID-7.10,IID-7.10. Children receiving 2 or more doses of rotavirus vaccine by ages 19-35 months (percent),IID,Geographic location,2,69.866615148,1.066177207,Metropolitan,63.490968981,2.230623419,1.100418158,0.0421504,75.251726385,0.909645289,Metropolitan,70.509724421,1.978055081,1.067253163,0.0326015,-0.033165,-0.62238304,Little or no detectable change
|
|||
|
IID-8,"IID-8. Children receiving the recommended doses of DTaP, polio, MMR, Hib, hepatitis B, varicella, and pneumococcal conjugate vaccine (PCV) vaccines by ages 19-35 months (percent)",IID,Sex,2,68.948666145,0.931179335,Male,67.747460313,1.055735993,1.01773064,0.0209869,73.118576156,1.144354227,Female,72.472366982,1.186896706,1.008916629,0.022855,-0.008814,-0.284056977,Little or no detectable change
|
|||
|
IID-8,"IID-8. Children receiving the recommended doses of DTaP, polio, MMR, Hib, hepatitis B, varicella, and pneumococcal conjugate vaccine (PCV) vaccines by ages 19-35 months (percent)",IID,Race and ethnicity,5,71.70752227,3.124100252,Asian only,68.076101984,2.098570741,1.05334354,0.0562174,75.040044578,0.951285428,"White only, not Hispanic or Latino",71.534525445,3.181440818,1.049004577,0.0485119,-0.004339,-0.058433,Little or no detectable change
|
|||
|
IID-8,"IID-8. Children receiving the recommended doses of DTaP, polio, MMR, Hib, hepatitis B, varicella, and pneumococcal conjugate vaccine (PCV) vaccines by ages 19-35 months (percent)",IID,Educational attainment,6,76.380129412,1.44531801,Advanced degree,68.582402938,2.234569022,1.113698648,0.0419625,82.215114509,1.300821558,Advanced degree,71.755723802,2.583011378,1.145763852,0.0450526,0.0320652,0.520811221,Little or no detectable change
|
|||
|
IID-8,"IID-8. Children receiving the recommended doses of DTaP, polio, MMR, Hib, hepatitis B, varicella, and pneumococcal conjugate vaccine (PCV) vaccines by ages 19-35 months (percent)",IID,Family income,5,77.702289959,1.481479039,At 400%-599% of the poverty threshold,69.279370513,1.793408626,1.121579041,0.0360589,82.341609792,1.673759138,At or above 600% of the poverty threshold,72.373824409,1.979588511,1.137726387,0.0387718,0.0161473,0.304965421,Little or no detectable change
|
|||
|
IID-8,"IID-8. Children receiving the recommended doses of DTaP, polio, MMR, Hib, hepatitis B, varicella, and pneumococcal conjugate vaccine (PCV) vaccines by ages 19-35 months (percent)",IID,Geographic location,2,69.465501068,1.075661045,Metropolitan,68.909397667,2.114751182,1.008070066,0.0346516,73.295289925,0.894969175,Metropolitan,68.75212451,1.985156567,1.066080364,0.0334214,0.0580103,1.20496441,Little or no detectable change
|
|||
|
IID-9,IID-9. Children receiving 0 doses of recommended vaccines by age 19-35 months (percent),IID,Sex,2,0.748312141,0.135355039,Female,0.855634901,0.16822262,1.143419776,0.305469689,1.017612275,0.142881126,Female,1.288096701,0.187785988,1.265803029,0.256205278,0.122383254,0.306964251,Little or no detectable change
|
|||
|
IID-9,IID-9. Children receiving 0 doses of recommended vaccines by age 19-35 months (percent),IID,Geographic location,2,0.759019339,0.184117877,Metropolitan,1.248096078,0.299205346,1.644353462,0.560799347,1.052386171,0.137433128,Metropolitan,1.979876216,0.345671664,1.881321011,0.41018326,0.236967549,0.34105894,Little or no detectable change
|
|||
|
IID-11.1,IID-11.1. Adolescents receiving 1 or more doses of Tdap booster vaccine by ages 13-15 years (percent),IID,Sex,2,85.550813685,0.860441517,Female,85.078609665,0.859150406,1.005550208,0.0143316,88.835315958,0.713049715,Male,87.522063201,0.922104785,1.015004819,0.0134436,0.0094546,0.481148884,Little or no detectable change
|
|||
|
IID-11.1,IID-11.1. Adolescents receiving 1 or more doses of Tdap booster vaccine by ages 13-15 years (percent),IID,Race and ethnicity,6,95.893721668,1.409610624,American Indian or Alaska Native only,85.258095753,2.730965086,1.124746229,0.0396401,91.987414613,1.381040218,Two or more races,86.671032133,2.821801002,1.061339785,0.0380516,-0.063406444,-1.153938159,Little or no detectable change
|
|||
|
IID-11.1,IID-11.1. Adolescents receiving 1 or more doses of Tdap booster vaccine by ages 13-15 years (percent),IID,Educational attainment,6,90.024759664,1.05040042,Advanced degree,84.75272107,1.753449698,1.062204948,0.0252299,91.078419282,0.936922561,4-year college degree,87.273571293,1.724308705,1.043596795,0.0232463,-0.018608,-0.542409078,Little or no detectable change
|
|||
|
IID-11.1,IID-11.1. Adolescents receiving 1 or more doses of Tdap booster vaccine by ages 13-15 years (percent),IID,Family income,5,90.487881396,1.079346246,At 400%-599% of the poverty threshold,85.167553183,1.510902829,1.062468957,0.022713,89.521139838,1.488970977,At or above 600% of the poverty threshold,87.921054991,1.47231279,1.018199109,0.0240318,-0.04427,-1.338804065,Little or no detectable change
|
|||
|
IID-11.1,IID-11.1. Adolescents receiving 1 or more doses of Tdap booster vaccine by ages 13-15 years (percent),IID,Geographic location,2,86.818258587,0.781618368,Metropolitan,80.437052814,1.497812202,1.079331671,0.0223239,88.557790261,0.637049823,Metropolitan,84.947068272,1.27579582,1.042505552,0.0173604,-0.036826,-1.302208454,Little or no detectable change
|
|||
|
IID-11.2,IID-11.2. Adolescents receiving 2 or more doses of varicella vaccine by ages 13-15 (percent),IID,Sex,2,77.23277996,1.171344136,Female,76.388736323,1.245456455,1.011049321,0.0225137,91.301970411,0.74801298,Female,90.843586024,0.734665051,1.005045864,0.0115699,-0.0060035,-0.237172548,Little or no detectable change
|
|||
|
IID-11.2,IID-11.2. Adolescents receiving 2 or more doses of varicella vaccine by ages 13-15 (percent),IID,Race and ethnicity,5,79.912961922,4.654741786,Asian only,75.853733081,3.530074096,1.053513897,0.078545555,91.698517215,0.609785578,"White only, not Hispanic or Latino",89.672860275,3.326785614,1.022589409,0.0385418,-0.030924,-0.35345444,Little or no detectable change
|
|||
|
IID-11.2,IID-11.2. Adolescents receiving 2 or more doses of varicella vaccine by ages 13-15 (percent),IID,Educational attainment,6,86.075380843,1.503263127,Advanced degree,75.256908839,2.500495439,1.143753872,0.0429324,93.441375232,0.939973912,Advanced degree,90.464076219,1.539772459,1.032911396,0.0204219,-0.110842476,-2.331459966,Decrease
|
|||
|
IID-11.2,IID-11.2. Adolescents receiving 2 or more doses of varicella vaccine by ages 13-15 (percent),IID,Family income,5,85.81506723,1.742795403,At or above 600% of the poverty threshold,75.914586521,2.167801294,1.130416053,0.039611,93.120106701,0.959128331,At 400%-599% of the poverty threshold,90.603151104,1.392639654,1.027780001,0.0190167,-0.102636052,-2.335857732,Decrease
|
|||
|
IID-11.2,IID-11.2. Adolescents receiving 2 or more doses of varicella vaccine by ages 13-15 (percent),IID,Geographic location,2,78.663395868,1.103496756,Metropolitan,66.545686562,2.096560553,1.18209609,0.0407676,91.27911334,0.567427872,Metropolitan,89.293870147,1.197033288,1.022232693,0.0151053,-0.159863397,-3.677048615,Decrease
|
|||
|
IID-11.3,IID-11.3. Adolescents receiving 1 or more doses of meningococcal vaccine by ages 13-15 (percent),IID,Sex,2,73.950787102,1.05191998,Male,73.571207421,1.042830469,1.005159351,0.0201848,87.103542542,0.741234776,Male,85.266947648,0.989584493,1.021539353,0.0147013,0.01638,0.65595968,Little or no detectable change
|
|||
|
IID-11.3,IID-11.3. Adolescents receiving 1 or more doses of meningococcal vaccine by ages 13-15 (percent),IID,Race and ethnicity,6,84.299065385,4.116118995,American Indian or Alaska Native only,75.933597988,3.070079243,1.110168195,0.070378065,87.65825468,1.524321288,Hispanic or Latino,83.666455485,3.807320814,1.047710868,0.0510396,-0.062457,-0.718417412,Little or no detectable change
|
|||
|
IID-11.3,IID-11.3. Adolescents receiving 1 or more doses of meningococcal vaccine by ages 13-15 (percent),IID,Educational attainment,6,78.668359843,2.076496521,Less than high school,72.740300283,2.054800437,1.081496221,0.0418121,89.161662713,1.526415477,Less than high school,85.523018972,1.677252137,1.042545782,0.0271403,-0.03895,-0.781380324,Little or no detectable change
|
|||
|
IID-11.3,IID-11.3. Adolescents receiving 1 or more doses of meningococcal vaccine by ages 13-15 (percent),IID,Family income,5,78.694747503,1.907060991,At or above 600% of the poverty threshold,73.579367132,1.865296153,1.06952194,0.0375086,90.488574725,0.991923199,At or above 600% of the poverty threshold,85.383679512,1.637472216,1.059787716,0.0234103,-0.009734,-0.220158386,Little or no detectable change
|
|||
|
IID-11.3,IID-11.3. Adolescents receiving 1 or more doses of meningococcal vaccine by ages 13-15 (percent),IID,Geographic location,2,76.017003447,0.961411718,Metropolitan,61.977169528,1.806285704,1.226532351,0.0389672,87.080909756,0.675895752,Metropolitan,78.591158856,1.391218133,1.108024249,0.0214168,-0.118508102,-2.665206374,Decrease
|
|||
|
IID-11.4,IID-11.4. Female adolescents receiving 2 or 3 doses of HPV vaccine by ages 13-15 (percent),IID,Race and ethnicity,7,63.859269647,5.038906492,Asian only,48.773737015,6.873466494,1.309296223,0.211467507,52.529346843,3.053105842,Hispanic or Latino,48.605468549,8.154687622,1.080729153,0.191889394,-0.22856707,-0.800438897,Little or no detectable change
|
|||
|
IID-11.4,IID-11.4. Female adolescents receiving 2 or 3 doses of HPV vaccine by ages 13-15 (percent),IID,Educational attainment,6,54.482281564,4.289180417,Less than high school,42.518650349,3.194608431,1.281373729,0.139446011,58.786637866,3.544253132,Less than high school,47.111713147,3.399154407,1.247813631,0.117325381,-0.03356,-0.184156027,Little or no detectable change
|
|||
|
IID-11.4,IID-11.4. Female adolescents receiving 2 or 3 doses of HPV vaccine by ages 13-15 (percent),IID,Family income,5,55.80759525,2.801885416,Below the poverty threshold (<100%),42.28128283,3.232372839,1.319912536,0.120720767,54.236502601,2.986656071,Below the poverty threshold (<100%),47.861565309,3.075586558,1.133195336,0.095899115,-0.1867172,-1.211067695,Little or no detectable change
|
|||
|
IID-11.4,IID-11.4. Female adolescents receiving 2 or 3 doses of HPV vaccine by ages 13-15 (percent),IID,Geographic location,2,48.770720255,3.14532206,Metropolitan,36.926397695,4.19786927,1.320754888,0.172624396,49.953428927,1.353842019,Metropolitan,40.09514493,2.455036677,1.245872262,0.083423864,-0.074882626,-0.390571775,Little or no detectable change
|
|||
|
IID-11.5,IID-11.5. Male adolescents receiving 2 or 3 doses of HPV vaccine by ages 13-15 (percent),IID,Race and ethnicity,6,45.394080714,3.081793727,Hispanic or Latino,34.515675474,5.348710454,1.315172891,0.222505611,57.203615862,6.42029449,Asian only,46.763918602,4.98837183,1.223242568,0.189407813,-0.091930324,-0.314608442,Little or no detectable change
|
|||
|
IID-11.5,IID-11.5. Male adolescents receiving 2 or 3 doses of HPV vaccine by ages 13-15 (percent),IID,Educational attainment,6,47.672746464,4.039545079,Less than high school,34.263914058,2.87634833,1.391339775,0.16595528,60.732869389,3.383792155,Less than high school,45.130852153,3.323898078,1.345706241,0.124276753,-0.045634,-0.220100618,Little or no detectable change
|
|||
|
IID-11.5,IID-11.5. Male adolescents receiving 2 or 3 doses of HPV vaccine by ages 13-15 (percent),IID,Family income,5,43.142113419,2.655636967,Below the poverty threshold (<100%),34.585888099,2.828224804,1.247390649,0.127673748,54.891045576,2.743992831,Below the poverty threshold (<100%),45.259033657,3.165334593,1.212819655,0.104262505,-0.034571,-0.209728292,Little or no detectable change
|
|||
|
IID-11.5,IID-11.5. Male adolescents receiving 2 or 3 doses of HPV vaccine by ages 13-15 (percent),IID,Geographic location,2,40.745199435,2.794339593,Metropolitan,26.321104627,3.800165041,1.548004919,0.247429498,48.402048546,1.352523503,Metropolitan,36.171952848,2.3725332,1.338109909,0.095400217,-0.20989501,-0.791507043,Little or no detectable change
|
|||
|
IID-12.8,"IID-12.8. Institutionalized adults in long-term or nursing homes vaccinated against seasonal influenza (percent, ages 18 and over)",IID,Sex,2,72.807031957,,Female,68.419161017,,1.064132194,,74.831568729,,Female,71.846482635,,1.041548117,,-0.022584,,Little or no detectable change
|
|||
|
IID-12.8,"IID-12.8. Institutionalized adults in long-term or nursing homes vaccinated against seasonal influenza (percent, ages 18 and over)",IID,Race and ethnicity,5,74.339174339,,American Indian or Alaska Native only,68.726871322,,1.081660971,,77.86071371,,Asian only,71.608679547,,1.087308329,,0.00564736,,Little or no detectable change
|
|||
|
IID-12.8,"IID-12.8. Institutionalized adults in long-term or nursing homes vaccinated against seasonal influenza (percent, ages 18 and over)",IID,Educational attainment,5,70.784652696,,Less than high school,67.535105864,,1.04811641,,77.111030817,,Less than high school,75.669657335,,1.019048236,,-0.029068,,Little or no detectable change
|
|||
|
IID-12.11,"IID-12.11. Children vaccinated against seasonal influenza (percent, ages 6 months-17 years)",IID,Sex,2,48.215133433,1.171752796,Female,45.699021949,1.302693493,1.055058322,0.0395218,50.27566434,1.467815203,Male,49.201885267,1.535705772,1.021823942,0.0436712,-0.033234,-0.564255942,Little or no detectable change
|
|||
|
IID-12.11,"IID-12.11. Children vaccinated against seasonal influenza (percent, ages 6 months-17 years)",IID,Race and ethnicity,6,56.362312669,3.115593905,Asian only,46.791129636,5.078962481,1.204551228,0.1467268,68.316491612,4.054499375,Asian only,50.736616554,5.279150172,1.346492854,0.161291071,0.141941626,0.650974399,Little or no detectable change
|
|||
|
IID-12.11,"IID-12.11. Children vaccinated against seasonal influenza (percent, ages 6 months-17 years)",IID,Family income,5,54.707636445,2.133063921,Above 500% of the poverty threshold,44.44934895,2.447898153,1.230786001,0.083049546,58.478697913,2.177021871,Above 500% of the poverty threshold,48.39323735,3.045150609,1.208406404,0.088349849,-0.02238,-0.18456546,Little or no detectable change
|
|||
|
IID-12.12,"IID-12.12. Noninstitutionalized adults vaccinated against seasonal influenza (percent, ages 18 and over)",IID,Sex,2,41.82678054,0.618750494,Female,34.160809223,0.641483329,1.224408364,0.0292699,48.957056958,0.77742172,Female,41.17869637,0.865727781,1.188892832,0.0313236,-0.035516,-0.828434114,Little or no detectable change
|
|||
|
IID-12.12,"IID-12.12. Noninstitutionalized adults vaccinated against seasonal influenza (percent, ages 18 and over)",IID,Race and ethnicity,6,41.085536274,0.606271664,"White only, not Hispanic or Latino",34.028483716,3.799838196,1.20738663,0.135996621,55.688816725,4.860923936,American Indian or Alaska Native only,43.155179293,2.579505548,1.290431824,0.136516779,0.083045194,0.430963855,Little or no detectable change
|
|||
|
IID-12.12,"IID-12.12. Noninstitutionalized adults vaccinated against seasonal influenza (percent, ages 18 and over)",IID,Educational attainment,6,52.144347348,1.202437317,Advanced degree,39.297369944,1.283387937,1.326916977,0.0530488,59.242379687,1.595261817,Advanced degree,45.076607856,1.575093669,1.314259934,0.0579779,-0.012657,-0.161061647,Little or no detectable change
|
|||
|
IID-12.12,"IID-12.12. Noninstitutionalized adults vaccinated against seasonal influenza (percent, ages 18 and over)",IID,Family income,5,44.712878937,0.967777106,Above 500% of the poverty threshold,35.381117823,1.338736418,1.263749754,0.0550879,52.350026433,1.088624266,Above 500% of the poverty threshold,41.674156233,1.753321819,1.256174837,0.0589533,-0.0075749,-0.093881876,Little or no detectable change
|
|||
|
IID-12.13,"IID-12.13. Health care personnel vaccinated against seasonal influenza (percent, ages 18 and over)",IID,Sex,2,56.392203413,1.788899748,Female,54.446776024,3.447001335,1.03573081,0.073342723,70.605196485,1.834179174,Female,68.782028221,3.31963261,1.026506463,0.0562632,-0.009224,-0.099790012,Little or no detectable change
|
|||
|
IID-12.13,"IID-12.13. Health care personnel vaccinated against seasonal influenza (percent, ages 18 and over)",IID,Race and ethnicity,5,64.892134347,6.146617159,Asian only,50.186826737,6.135112952,1.293011305,0.199961331,79.686881161,5.908135833,Asian only,66.438762778,7.082846674,1.199403448,0.155747525,-0.093607857,-0.369320459,Little or no detectable change
|
|||
|
IID-12.13,"IID-12.13. Health care personnel vaccinated against seasonal influenza (percent, ages 18 and over)",IID,Educational attainment,6,68.126612277,3.757141466,Advanced degree,53.228016646,5.313464506,1.279901386,0.145967144,79.351030753,2.856169434,Advanced degree,65.893835296,5.614840849,1.204225409,0.111391762,-0.075675977,-0.412144464,Little or no detectable change
|
|||
|
IID-12.13,"IID-12.13. Health care personnel vaccinated against seasonal influenza (percent, ages 18 and over)",IID,Family income,5,61.902873951,4.653066085,At 400%-499% of the poverty threshold,53.890008528,4.34371973,1.148689259,0.126601099,75.646822679,2.41269483,Above 500% of the poverty threshold,65.278027995,5.601356735,1.158840501,0.106084234,0.0101512,0.0614587,Little or no detectable change
|
|||
|
IID-12.14,"IID-12.14. Pregnant women vaccinated against seasonal influenza (percent, ages 18-49)",IID,Race and ethnicity,3,44.7820608,4.835673788,"White only, not Hispanic or Latino",31.709248805,9.266923907,1.412271261,0.440004303,67.57707088,16.01955144,"Black or African American only, not Hispanic or Latino",47.24015974,10.398242111,1.430500474,0.462752931,0.0182292,0.0285479,Little or no detectable change
|
|||
|
IID-12.14,"IID-12.14. Pregnant women vaccinated against seasonal influenza (percent, ages 18-49)",IID,Educational attainment,6,58.75365155,7.290853728,4-year college degree,37.566325832,10.308881394,1.563997816,0.471031181,65.21058771,8.381924099,4-year college degree,41.38816566,11.240763388,1.575585356,0.473422586,0.0115875,0.017351,Little or no detectable change
|
|||
|
IID-12.14,"IID-12.14. Pregnant women vaccinated against seasonal influenza (percent, ages 18-49)",IID,Family income,4,71.65319557,9.141508063,At or above 600% of the poverty threshold,33.726656517,8.224697551,2.124527094,0.584712148,71.00381063,12.25503806,Below the poverty threshold (<100%),53.012818343,11.299821072,1.339370606,0.367348439,-0.785156488,-1.137032803,Little or no detectable change
|
|||
|
IID-13.1,"IID-13.1. Noninstitutionalized adults vaccinated against pneumococcal disease (percent, ages 65 and over)",IID,Sex,2,62.816218818,1.105965544,Female,56.362319352,1.351064247,1.114507344,0.0331478,69.836242261,1.000208874,Female,68.067564689,1.089926961,1.025984146,0.0220413,-0.088523197,-2.223808285,Decrease
|
|||
|
IID-13.1,"IID-13.1. Noninstitutionalized adults vaccinated against pneumococcal disease (percent, ages 65 and over)",IID,Race and ethnicity,5,64.546528599,0.943681958,"White only, not Hispanic or Latino",40.637482112,5.423526262,1.588349603,0.213251157,73.248036263,0.786200332,"White only, not Hispanic or Latino",55.996119804,5.201755571,1.308091284,0.122323488,-0.280258319,-1.139986081,Little or no detectable change
|
|||
|
IID-13.1,"IID-13.1. Noninstitutionalized adults vaccinated against pneumococcal disease (percent, ages 65 and over)",IID,Educational attainment,6,65.163959681,2.959701741,Advanced degree,60.589376698,2.655540232,1.075501404,0.067883216,75.450125245,1.747783608,Advanced degree,67.945216978,1.947448646,1.110455284,0.0409232,0.0349539,0.440978426,Little or no detectable change
|
|||
|
IID-13.1,"IID-13.1. Noninstitutionalized adults vaccinated against pneumococcal disease (percent, ages 65 and over)",IID,Family income,5,64.197057801,3.44953518,At 400%-499% of the poverty threshold,57.916617576,2.618594753,1.108439348,0.077839954,73.137949168,1.494081454,Above 500% of the poverty threshold,65.400176061,2.43351117,1.118314255,0.0474706,0.0098749,0.10830954,Little or no detectable change
|
|||
|
IID-13.2,"IID-13.2. Noninstitutionalized high-risk adults vaccinated against pneumococcal disease (percent, ages 18-64)",IID,Sex,2,18.155392638,0.870396179,Female,15.112030599,0.764603657,1.201386704,0.083738536,25.503936611,0.935606342,Female,23.167485379,1.03095095,1.100850446,0.063487821,-0.100536258,-0.956714185,Little or no detectable change
|
|||
|
IID-13.2,"IID-13.2. Noninstitutionalized high-risk adults vaccinated against pneumococcal disease (percent, ages 18-64)",IID,Race and ethnicity,6,32.004754701,5.970306165,Two or more races,15.565485693,3.038414968,2.056135949,0.555166763,31.999561627,4.631247693,Two or more races,24.603107048,3.983428084,1.300630915,0.282450732,-0.755505034,-1.212908132,Little or no detectable change
|
|||
|
IID-13.2,"IID-13.2. Noninstitutionalized high-risk adults vaccinated against pneumococcal disease (percent, ages 18-64)",IID,Educational attainment,6,22.940222321,2.749679827,Advanced degree,17.494983392,1.698365075,1.311245733,0.202251275,27.860674824,1.823118535,Associates degree,24.874648827,2.128754861,1.120042941,0.120662545,-0.191202792,-0.81186648,Little or no detectable change
|
|||
|
IID-13.2,"IID-13.2. Noninstitutionalized high-risk adults vaccinated against pneumococcal disease (percent, ages 18-64)",IID,Family income,5,17.991397893,1.35540059,At 100%-199% of the poverty threshold,16.236589312,1.689547207,1.108077414,0.142350596,28.997171247,1.752922444,Below the poverty threshold (<100%),23.095770715,1.847151721,1.255518666,0.125870687,0.147441253,0.775930057,Little or no detectable change
|
|||
|
IID-13.3,"IID-13.3. Adults in long-term care or nursing homes vaccinated against pneumococcal disease (percent, 18+ years)",IID,Sex,2,72.198683267,,Female,68.464216007,,1.054546265,,71.321364189,,Female,67.410651291,,1.058013279,,0.00346701,,Little or no detectable change
|
|||
|
IID-13.3,"IID-13.3. Adults in long-term care or nursing homes vaccinated against pneumococcal disease (percent, 18+ years)",IID,Race and ethnicity,5,72.978812451,,"White only, not Hispanic or Latino",66.445593511,,1.098324337,,72.122154943,,"White only, not Hispanic or Latino",65.847734961,,1.0952868,,-0.0030375,,Little or no detectable change
|
|||
|
IID-14,"IID-14. Adults vaccinated against zoster (shingles) (percent, ages 60 and over)",IID,Sex,2,8.194109081,0.6019479,Female,4.860960897,0.575975652,1.685697386,0.235010798,36.446349105,0.886717982,Female,33.069987972,0.979790489,1.102097441,0.0422511,-0.583599946,-2.444104645,Decrease
|
|||
|
IID-14,"IID-14. Adults vaccinated against zoster (shingles) (percent, ages 60 and over)",IID,Race and ethnicity,3,7.669706864,0.517820439,"White only, not Hispanic or Latino",2.299808134,0.886985724,3.334933358,1.305769749,39.310968669,0.801589632,"White only, not Hispanic or Latino",18.502181116,2.72347271,2.124666731,0.315731933,-1.210266627,-0.900898755,Little or no detectable change
|
|||
|
IID-14,"IID-14. Adults vaccinated against zoster (shingles) (percent, ages 60 and over)",IID,Educational attainment,6,11.830728913,1.84983517,Advanced degree,6.635726114,1.260094224,1.782883849,0.438561406,49.06242192,1.773208918,Advanced degree,32.53326084,1.635181313,1.508069608,0.093360209,-0.274814241,-0.612893168,Little or no detectable change
|
|||
|
IID-14,"IID-14. Adults vaccinated against zoster (shingles) (percent, ages 60 and over)",IID,Family income,5,9.967054635,1.269845765,Above 500% of the poverty threshold,5.053483264,1.16073748,1.972313772,0.518045474,46.213347363,1.256787373,Above 500% of the poverty threshold,28.521722807,1.807097824,1.620285972,0.111716392,-0.3520278,-0.664260548,Little or no detectable change
|
|||
|
IID-15.3,IID-15.3. Health care personnel vaccinated against hepatitis B (percent),IID,Sex,2,65.636723181,1.653002487,Female,59.693422613,3.295746873,1.099563743,0.066725661,62.068381327,1.609195303,Female,56.705620952,2.626329624,1.094571936,0.0580975,-0.0049918,-0.056421,Little or no detectable change
|
|||
|
IID-15.3,IID-15.3. Health care personnel vaccinated against hepatitis B (percent),IID,Race and ethnicity,4,66.952099002,1.516895928,"White only, not Hispanic or Latino",58.687888624,6.336947344,1.140816284,0.125864486,72.560883539,4.258221123,Asian only,54.128487693,4.686283989,1.340530405,0.140208773,0.199714121,1.059966991,Little or no detectable change
|
|||
|
IID-15.3,IID-15.3. Health care personnel vaccinated against hepatitis B (percent),IID,Educational attainment,6,73.536594093,2.777215992,Associates degree,56.167673251,4.49365308,1.309233405,0.115828214,70.83140844,2.545146661,Advanced degree,53.352099386,4.835382923,1.327621767,0.129436093,0.0183884,0.105865942,Little or no detectable change
|
|||
|
IID-15.3,IID-15.3. Health care personnel vaccinated against hepatitis B (percent),IID,Family income,5,67.71309343,3.972734035,At 400%-499% of the poverty threshold,59.711203367,4.494293289,1.134009861,0.108221191,69.330375752,2.007618427,Above 500% of the poverty threshold,56.882904268,4.605259788,1.21882623,0.104798515,0.084816369,0.563013539,Little or no detectable change
|
|||
|
IID-23,"IID-23. New cases of hepatitis A (per 100,000 population)",IID,Sex,2,0.9,,Female,1.1,,1.222222222,,0.55,,Female,0.7,,1.272727273,,0.0505051,,Little or no detectable change
|
|||
|
IID-23,"IID-23. New cases of hepatitis A (per 100,000 population)",IID,Race and ethnicity,3,0.4,,"Black or African American only, not Hispanic or Latino",1.05,,2.625,,0.33,,"Black or African American only, not Hispanic or Latino",0.47,,1.424242424,,-1.200757576,,Decrease
|
|||
|
IID-25.1,"IID-25.1. New hepatitis B infections in adults (per 100,000 population, ages 19 and over)",IID,Sex,2,1.5,,Female,2.5,,1.666666667,,0.99,,Female,1.64,,1.656565657,,-0.010101,,Little or no detectable change
|
|||
|
IID-25.1,"IID-25.1. New hepatitis B infections in adults (per 100,000 population, ages 19 and over)",IID,Race and ethnicity,3,1.3,,"White only, not Hispanic or Latino",2.4,,1.846153846,,0.5,,Hispanic or Latino,1.275,,2.55,,0.703846154,,Increase
|
|||
|
IID-26,"IID-26. New cases of hepatitis C (per 100,000 population)",IID,Sex,2,0.26,,Female,0.3,,1.153846154,,0.847795347,,Female,1.086649752,,1.281735924,,0.12788977,,Increase
|
|||
|
IID-26,"IID-26. New cases of hepatitis C (per 100,000 population)",IID,Race and ethnicity,3,0.15,,Hispanic or Latino,0.215,,1.433333333,,0.324500383,,"Black or African American only, not Hispanic or Latino",0.732067572,,2.255983693,,0.822650359,,Increase
|
|||
|
IID-29,"IID-29. New cases of tuberculosis (per 100,000 population)",IID,Sex,2,3.57039456,,Female,5.989101241,,1.677434004,,2.126294527,,Female,3.481120554,,1.637177028,,-0.040257,,Little or no detectable change
|
|||
|
IID-29,"IID-29. New cases of tuberculosis (per 100,000 population)",IID,Race and ethnicity,7,1.115458369,,"Two or more races, not Hispanic or Latino",11.291085385,,10.122372738,,0.542458684,,"White, not Hispanic or Latino",8.450655269,,15.578431179,,5.456058441,,Increase
|
|||
|
IID-30,IID-30. Tuberculosis patients completing curative therapy within 12 months (percent),IID,Sex,2,82.912423625,,Female,81.231520761,,1.020692742,,84.656682679,,Female,84.596057209,,1.000716647,,-0.019976,,Little or no detectable change
|
|||
|
IID-30,IID-30. Tuberculosis patients completing curative therapy within 12 months (percent),IID,Race and ethnicity,7,87.5,,"Native Hawaiian or Other Pacific Islander, not Hispanic or Latino",81.364655388,,1.075405526,,92.929292929,,"Native Hawaiian or Other Pacific Islander, not Hispanic or Latino",83.16454861,,1.117414746,,0.0420092,,Little or no detectable change
|
|||
|
IID-33,"IID-33. Tuberculosis patients tested for HIV (percent, ages 25-44)",IID,Sex,2,74.960443038,,Male,70.852803738,,1.057974266,,94.409547739,,Male,91.509433962,,1.031691965,,-0.026282,,Little or no detectable change
|
|||
|
IID-33,"IID-33. Tuberculosis patients tested for HIV (percent, ages 25-44)",IID,Race and ethnicity,7,87.758945386,,"Black or African American, not Hispanic or Latino",71.233670345,,1.231986853,,100,,"American Indian or Alaska Native, not Hispanic or Latino",94.241296012,,1.061105951,,-0.170880903,,Decrease
|
|||
|
IVP-1.1,"IVP-1.1. Injury deaths (age adjusted, per 100,000 population)",IVP,Sex,2,34.57113528,0.146622924,Female,86.628370221,0.247387477,2.505800562,0.0128122,41.785624433,0.156069692,Female,102.75776828,0.256142858,2.459165555,0.0110427,-0.046635,-2.757138303,Decrease
|
|||
|
IVP-1.1,"IVP-1.1. Injury deaths (age adjusted, per 100,000 population)",IVP,Race and ethnicity,5,25.534472102,0.450923557,Asian or Pacific Islander,60.676913261,0.954525478,2.376274435,0.0561992,25.589192758,0.356254951,Asian or Pacific Islander,70.695198334,0.862795295,2.762697479,0.0511489,0.386423045,5.085148792,Increase
|
|||
|
IVP-1.1,"IVP-1.1. Injury deaths (age adjusted, per 100,000 population)",IVP,Geographic location,2,56.741578151,0.148938151,Metropolitan,76.081486227,0.408030673,1.340841914,0.0080061,68.893947405,0.156658368,Metropolitan,87.855852802,0.444598,1.275233255,0.00707493,-0.065608659,-6.140707924,Decrease
|
|||
|
IVP-1.2,"IVP-1.2. Nonfatal injury hospitalizations (age adjusted, per 100,000 population)",IVP,Sex,2,540.733032363,20.061170645,Female,673.197683523,26.345191925,1.244972368,0.067135167,584.125647366,42.73817461,Female,594.170921343,45.603402198,1.017197112,0.107861454,-0.227775256,-1.792826706,Little or no detectable change
|
|||
|
IVP-1.3,"IVP-1.3. Emergency department visits for nonfatal injuries (age adjusted, per 100,000 population)",IVP,Sex,2,7535.103089,409.6388844,Female,9156.688159,524.5449959,1.215204099,0.095970931,9682.019972,690.7134548,Female,10419.43173,708.571935,1.076163007,0.10606638,-0.139041092,-0.972042119,Little or no detectable change
|
|||
|
IVP-1.3,"IVP-1.3. Emergency department visits for nonfatal injuries (age adjusted, per 100,000 population)",IVP,Race and ethnicity,3,6913.599465,646.9713603,Hispanic or Latino,11028.6643985,1273.301355466,1.595213095,0.237074163,8647.673112,1003.731087,Hispanic or Latino,12898.668075,1981.01242887,1.491576741,0.287142191,-0.103636354,-0.278320167,Little or no detectable change
|
|||
|
IVP-1.3,"IVP-1.3. Emergency department visits for nonfatal injuries (age adjusted, per 100,000 population)",IVP,Geographic location,2,8210.853806,539.9859372,Metropolitan,10432.26062,1160.214137,1.270545167,0.164159108,9898.961446,736.3625614,Metropolitan,12482.8324,2267.329563,1.261024449,0.247511593,-0.009521,-0.032056,Little or no detectable change
|
|||
|
IVP-2.1,"IVP-2.1. Traumatic brain injury deaths (age adjusted, per 100,000 population)",IVP,Sex,2,8.459129644,0.072430218,Female,27.35367823,0.139734943,3.233627971,0.0322408,8.437789792,0.068573734,Female,27.471624399,0.13170067,3.255784403,0.0307203,0.0221564,0.497525723,Little or no detectable change
|
|||
|
IVP-2.1,"IVP-2.1. Traumatic brain injury deaths (age adjusted, per 100,000 population)",IVP,Race and ethnicity,5,8.920141582,0.276294222,Asian or Pacific Islander,16.428576497,0.487615169,1.841739433,0.079009496,8.006298828,0.203854523,Asian or Pacific Islander,16.411567606,0.420734509,2.049832008,0.074064766,0.208092575,1.92151129,Little or no detectable change
|
|||
|
IVP-2.1,"IVP-2.1. Traumatic brain injury deaths (age adjusted, per 100,000 population)",IVP,Geographic location,2,16.116101974,0.079437245,Metropolitan,24.565376053,0.230629271,1.524275293,0.0161629,16.297458694,0.075304586,Metropolitan,24.985479923,0.232250368,1.533090551,0.0159143,0.0088153,0.388634406,Little or no detectable change
|
|||
|
IVP-2.2,"IVP-2.2. Nonfatal traumatic brain injury hospitalizations (age adjusted, per 100,000 population)",IVP,Sex,2,59.10633676,4.60424274,Female,112.556265335,6.807692231,1.904301155,0.18780484,72.035500546,9.224156296,Female,123.072497884,14.091615443,1.708497851,0.293477685,-0.195803304,-0.561967257,Little or no detectable change
|
|||
|
IVP-2.3,"IVP-2.3. Emergency department visits for nonfatal traumatic brain injuries (age adjusted, per 100,000 population)",IVP,Sex,2,367.5848301,41.73426857,Female,436.1304661,52.49713167,1.186475693,0.19632325,741.1391898,78.61223725,Female,831.6763491,98.49012984,1.122159455,0.17840178,-0.064316238,-0.242452586,Little or no detectable change
|
|||
|
IVP-2.3,"IVP-2.3. Emergency department visits for nonfatal traumatic brain injuries (age adjusted, per 100,000 population)",IVP,Race and ethnicity,3,400.6117689,46.99799943,"White only, not Hispanic or Latino",571.4217412,162.918908766,1.426372827,0.439756804,790.2007494,75.32735273,"White only, not Hispanic or Latino",963.28123025,315.374619439,1.219033557,0.415680584,-0.20733927,-0.342638683,Little or no detectable change
|
|||
|
IVP-2.3,"IVP-2.3. Emergency department visits for nonfatal traumatic brain injuries (age adjusted, per 100,000 population)",IVP,Geographic location,2,303.3728912,74.41967983,Nonmetropolitan,432.2394034,48.62406966,1.42477926,0.384507206,577.0431933,137.1084431,Nonmetropolitan,831.1064782,80.39866211,1.440284692,0.369494762,0.0155054,0.0290764,Little or no detectable change
|
|||
|
IVP-3.1,"IVP-3.1. Spinal cord injury deaths (age adjusted, per 100,000 population)",IVP,Sex,2,0.234120111,0.0121615,Female,0.868797692,0.0249179,3.710905862,0.220196102,0.240470288,0.0123765,Female,0.746189388,0.021091,3.103041936,0.182205465,-0.607863926,-2.126839915,Decrease
|
|||
|
IVP-3.1,"IVP-3.1. Spinal cord injury deaths (age adjusted, per 100,000 population)",IVP,Race and ethnicity,4,0.297655565,0.0527562,Asian or Pacific Islander,0.572310969,0.0456617,1.922728942,0.373718934,0.201521733,0.0329972,Asian or Pacific Islander,0.475042528,0.0354704,2.357276907,0.424218816,0.434547965,0.768627094,Little or no detectable change
|
|||
|
IVP-3.1,"IVP-3.1. Spinal cord injury deaths (age adjusted, per 100,000 population)",IVP,Geographic location,2,0.529598301,0.0145936,Metropolitan,0.601928689,0.0357358,1.136575945,0.074391397,0.468409916,0.0127919,Metropolitan,0.562885895,0.0339506,1.201695087,0.079563815,0.065119142,0.59783908,Little or no detectable change
|
|||
|
IVP-9.1,"IVP-9.1. Poisoning deaths (age adjusted, per 100,000 population)",IVP,Sex,2,9.470754354,0.078748459,Female,16.926940663,0.106989483,1.787285366,0.0186674,15.180072213,0.098277024,Female,31.38726175,0.142477176,2.067662216,0.0163488,0.28037685,11.298951637,Increase
|
|||
|
IVP-9.1,"IVP-9.1. Poisoning deaths (age adjusted, per 100,000 population)",IVP,Race and ethnicity,5,2.386771964,0.124180713,Asian or Pacific Islander,11.578474696,0.380723315,4.851102188,0.298577915,4.065854653,0.136056394,Asian or Pacific Islander,20.848145861,0.434541877,5.127617104,0.202149271,0.276514916,0.766875755,Little or no detectable change
|
|||
|
IVP-9.1,"IVP-9.1. Poisoning deaths (age adjusted, per 100,000 population)",IVP,Geographic location,2,13.078887271,0.071412539,Metropolitan,13.931422769,0.180477571,1.0651841,0.0149747,21.887701652,0.233572449,Nonmetropolitan,23.465862733,0.093061188,1.07210264,0.0122053,0.00691854,0.358126048,Little or no detectable change
|
|||
|
IVP-9.2,"IVP-9.2. Poisoning deaths (per 100,000 population, ages 35-54)",IVP,Sex,2,19.701202309,0.211987997,Female,31.639162485,0.271583295,1.605950844,0.0221051,27.714204679,0.256954694,Female,54.582072828,0.363646211,1.969461995,0.0224855,0.36351115,11.528511705,Increase
|
|||
|
IVP-9.2,"IVP-9.2. Poisoning deaths (per 100,000 population, ages 35-54)",IVP,Race and ethnicity,5,3.937883565,0.29189535,Asian or Pacific Islander,22.384185785,0.947552231,5.684318852,0.48521735,5.968791838,0.311568398,Asian or Pacific Islander,37.602628126,1.152431081,6.299872595,0.381341248,0.615553743,0.997435891,Little or no detectable change
|
|||
|
IVP-9.2,"IVP-9.2. Poisoning deaths (per 100,000 population, ages 35-54)",IVP,Geographic location,2,25.510843102,0.185755831,Metropolitan,26.150323274,0.451943701,1.025066995,0.0192239,39.798186321,0.601211244,Nonmetropolitan,41.223830031,0.238883411,1.035821826,0.0167594,0.0107548,0.421697871,Little or no detectable change
|
|||
|
IVP-9.3,"IVP-9.3. Poisoning deaths of unintentional or undetermined intent (age adjusted, per 100,000 population)",IVP,Sex,2,7.585900082,0.070606284,Female,14.631881143,0.099487629,1.928825978,0.0222328,13.284418094,0.092188587,Female,29.320474537,0.137818573,2.207132772,0.0184994,0.278306795,9.622419668,Increase
|
|||
|
IVP-9.3,"IVP-9.3. Poisoning deaths of unintentional or undetermined intent (age adjusted, per 100,000 population)",IVP,Race and ethnicity,5,1.59308968,0.100745964,Asian or Pacific Islander,10.185451203,0.357491947,6.393520297,0.462420222,3.267826568,0.121224939,Asian or Pacific Islander,19.536961682,0.422039867,5.97857973,0.256647714,-0.414940567,-0.784583673,Little or no detectable change
|
|||
|
IVP-9.3,"IVP-9.3. Poisoning deaths of unintentional or undetermined intent (age adjusted, per 100,000 population)",IVP,Geographic location,2,10.98915368,0.065503983,Metropolitan,11.85683765,0.167209747,1.078958216,0.0165193,19.694892768,0.222247187,Nonmetropolitan,21.543511463,0.089341041,1.093862846,0.0131508,0.0149046,0.705888191,Little or no detectable change
|
|||
|
IVP-9.4,"IVP-9.4. Poisoning deaths of unintentional or undetermined intent (per 100,000 population, ages 35-54)",IVP,Sex,2,16.044721205,0.191307058,Female,27.326426662,0.25239572,1.703141258,0.0256873,24.478935191,0.241491366,Female,51.224145137,0.35228278,2.09258061,0.025165,0.389439352,10.829814774,Increase
|
|||
|
IVP-9.4,"IVP-9.4. Poisoning deaths of unintentional or undetermined intent (per 100,000 population, ages 35-54)",IVP,Race and ethnicity,5,2.596406746,0.237018424,Asian or Pacific Islander,19.826563637,0.89852715,7.636154723,0.778257829,4.960440084,0.284033973,Asian or Pacific Islander,35.338560771,1.121685001,7.124077738,0.466406048,-0.512076985,-0.56438744,Little or no detectable change
|
|||
|
IVP-9.4,"IVP-9.4. Poisoning deaths of unintentional or undetermined intent (per 100,000 population, ages 35-54)",IVP,Geographic location,2,21.58027155,0.17084745,Metropolitan,21.877854089,0.413378769,1.013789564,0.0207689,35.711197767,0.569505159,Nonmetropolitan,38.048293896,0.22949827,1.06544435,0.0181659,0.0516548,1.872057781,Little or no detectable change
|
|||
|
IVP-10,"IVP-10. Emergency department visits for nonfatal poisonings (age adjusted, per 100,000 population)",IVP,Sex,2,268.491128442,29.109477591,Female,342.926388546,40.887132949,1.277235455,0.205830906,484.591800719,58.238612882,Female,766.637098153,111.205265444,1.582026557,0.298012159,0.304791102,0.841535478,Little or no detectable change
|
|||
|
IVP-11,"IVP-11. Unintentional injury deaths (age adjusted, per 100,000 population)",IVP,Sex,2,26.06582977,0.126178945,Female,55.918222764,0.200444244,2.145269238,0.012922,31.955684977,0.134861089,Female,67.822579317,0.208236127,2.12239479,0.0110766,-0.022874,-1.343997206,Little or no detectable change
|
|||
|
IVP-11,"IVP-11. Unintentional injury deaths (age adjusted, per 100,000 population)",IVP,Race and ethnicity,5,16.923124116,0.380805787,Asian or Pacific Islander,40.671912773,0.833532697,2.403333598,0.073147895,16.779022698,0.292960677,Asian or Pacific Islander,48.020414876,0.737491003,2.861931576,0.066549195,0.458597978,4.637413364,Increase
|
|||
|
IVP-11,"IVP-11. Unintentional injury deaths (age adjusted, per 100,000 population)",IVP,Geographic location,2,37.594141162,0.121227424,Metropolitan,55.815882162,0.34749867,1.484696297,0.0104097,47.498121943,0.129504862,Metropolitan,61.213551343,0.367169702,1.288757299,0.0084913,-0.195938998,-14.585603198,Decrease
|
|||
|
IVP-12,"IVP-12. Emergency department visits for nonfatal unintentional injuries (age adjusted, per 100,000 population)",IVP,Sex,2,8242.93481422,429.431307768,Female,10156.042877866,637.807869055,1.232090646,0.100534596,7727.660778035,438.653098935,Female,9482.652730581,356.127253951,1.227105201,0.083520547,-0.0049854,-0.038144,Little or no detectable change
|
|||
|
IVP-13.1,"IVP-13.1. Motor vehicle crash deaths (age adjusted, per 100,000 population)",IVP,Sex,2,7.927908321,0.07165236,Female,19.960122223,0.116956499,2.517703462,0.0271187,6.505861402,0.062960427,Female,16.752121895,0.102784369,2.574927571,0.0295051,0.0572241,1.427939336,Little or no detectable change
|
|||
|
IVP-13.1,"IVP-13.1. Motor vehicle crash deaths (age adjusted, per 100,000 population)",IVP,Race and ethnicity,5,6.693241699,0.223923445,Asian or Pacific Islander,15.241101502,0.476355499,2.277088172,0.104252384,4.545912309,0.14864359,Asian or Pacific Islander,13.486637485,0.396494018,2.966761471,0.130452567,0.689673299,4.12997039,Increase
|
|||
|
IVP-13.1,"IVP-13.1. Motor vehicle crash deaths (age adjusted, per 100,000 population)",IVP,Geographic location,2,12.146426489,0.068858335,Metropolitan,23.207105902,0.22834552,1.91061181,0.0216964,10.23492638,0.0606039,Metropolitan,19.673022262,0.21322994,1.922145947,0.0237398,0.0115341,0.35864055,Little or no detectable change
|
|||
|
IVP-14,"IVP-14. Nonfatal motor vehicle crash injuries on public roads (per 100,000 population)",IVP,Sex,2,746.94375945,26.330815338,Male,795.018601554,33.038310448,1.064362064,0.0580015,736.457644783,39.248568016,Male,785.618399458,48.437968774,1.066752997,0.086936536,0.00239093,0.0228778,Little or no detectable change
|
|||
|
IVP-15,IVP-15. Persons using safety belts (percent),IVP,Geographic location,2,83,3,Urban,81,1,1.024691358,0.0391379,90,0.75231117,Rural,89,0.98993631,1.011235955,0.0140701,-0.013455,-0.32352348,Little or no detectable change
|
|||
|
IVP-18,"IVP-18. Pedestrian deaths on public roads (per 100,000 population)",IVP,Sex,2,0.860909078,,Female,2.059001277,,2.391659386,,1.070103846,,Female,2.603982907,,2.433392719,,0.0417333,,Little or no detectable change
|
|||
|
IVP-18,"IVP-18. Pedestrian deaths on public roads (per 100,000 population)",IVP,Race and ethnicity,7,0.232617105,,Two or more races,1.737654844,,7.470021784,,0.247827585,,Two or more races,1.995836566,,8.053326948,,0.583305164,,Increase
|
|||
|
IVP-19,"IVP-19. Nonfatal pedestrian injuries on public roads (per 100,000 population)",IVP,Sex,2,21.162279,1.697432591,Female,24.158269341,1.91129082,1.141572197,0.128612867,19.028059028,1.352058022,Female,24.5444627,1.880001467,1.289908901,0.134768418,0.148336703,0.796269593,Little or no detectable change
|
|||
|
IVP-20,"IVP-20. Pedalcyclist deaths on public roads (per 100,000 population)",IVP,Sex,2,0.0601537,,Female,0.418088303,,6.950336596,,0.0526281,,Female,0.43202302,,8.208986545,,1.25864995,,Increase
|
|||
|
IVP-20,"IVP-20. Pedalcyclist deaths on public roads (per 100,000 population)",IVP,Race and ethnicity,7,0,,Native Hawaiian or Other Pacific Islander,0.180479763,,,,0,,Native Hawaiian or Other Pacific Islander,0.177685416,,,,,,
|
|||
|
IVP-22,IVP-22. Helmet use by motorcycle operators and passengers (percent),IVP,Geographic location,2,75,4,Rural,57,9,1.315789474,0.21928804,73.5,4.8439935,Rural,69.1,5.0237546,1.063675832,0.104376382,-0.252113642,-1.038096674,Little or no detectable change
|
|||
|
IVP-23.1,"IVP-23.1. Deaths from unintentional falls (age adjusted, per 100,000 population)",IVP,Sex,2,5.696871527,0.0548243,Female,9.288312906,0.087636724,1.630423446,0.0219736,7.661042124,0.0583526,Female,11.508988234,0.086026414,1.502274501,0.0160319,-0.128148945,-4.711289112,Decrease
|
|||
|
IVP-23.1,"IVP-23.1. Deaths from unintentional falls (age adjusted, per 100,000 population)",IVP,Race and ethnicity,5,3.557428277,0.11599028,"Black or African American, not Hispanic or Latino",6.075354131,0.393103806,1.707793849,0.123738909,4.177678922,0.109716211,"Black or African American, not Hispanic or Latino",7.346877353,0.326876824,1.758602681,0.090857839,0.0508088,0.330972562,Little or no detectable change
|
|||
|
IVP-23.1,"IVP-23.1. Deaths from unintentional falls (age adjusted, per 100,000 population)",IVP,Geographic location,2,7.206048028,0.0531623,Metropolitan,7.444292801,0.11650538,1.03306178,0.017874,9.279728971,0.0541748,Metropolitan,9.853447641,0.126411707,1.061824938,0.0149665,0.0287632,1.233805442,Little or no detectable change
|
|||
|
IVP-23.2,"IVP-23.2. Deaths from unintentional falls (age adjusted, per 100,000 population, ages 65 and over)",IVP,Sex,2,40.153472206,0.407007821,Female,57.940214227,0.635581627,1.442968965,0.0215518,54.918518027,0.433406434,Female,74.891248161,0.624113284,1.363679335,0.0156514,-0.07928963,-2.976842438,Decrease
|
|||
|
IVP-23.2,"IVP-23.2. Deaths from unintentional falls (age adjusted, per 100,000 population, ages 65 and over)",IVP,Race and ethnicity,5,19.905954812,0.820165504,"Black or African American, not Hispanic or Latino",38.200924659,2.926191502,1.919070199,0.166916849,25.148950154,0.78448157,"Black or African American, not Hispanic or Latino",47.353946965,2.375526418,1.882939315,0.111230397,-0.036131,-0.180129577,Little or no detectable change
|
|||
|
IVP-23.2,"IVP-23.2. Deaths from unintentional falls (age adjusted, per 100,000 population, ages 65 and over)",IVP,Geographic location,2,46.886694072,0.384317997,Metropolitan,47.471542203,0.813895007,1.012473648,0.0192406,62.983934252,0.395688018,Metropolitan,64.722076648,0.883426334,1.027596599,0.0154406,0.015123,0.613008686,Little or no detectable change
|
|||
|
IVP-24.1,"IVP-24.1. Unintentional suffocation deaths (age adjusted, per 100,000 population)",IVP,Sex,2,1.493949716,0.0295421,Female,2.528784876,0.0442871,1.692684064,0.044712,1.514930985,0.0288601,Female,2.470477258,0.0398671,1.630752346,0.0407144,-0.061932,-1.024144063,Little or no detectable change
|
|||
|
IVP-24.1,"IVP-24.1. Unintentional suffocation deaths (age adjusted, per 100,000 population)",IVP,Race and ethnicity,5,0.904855616,0.095083358,Asian or Pacific Islander,2.083860679,0.202007623,2.302975903,0.329247131,0.87310105,0.070207769,Asian or Pacific Islander,2.006342005,0.149389636,2.297949367,0.251834525,-0.0050265,-0.012126,Little or no detectable change
|
|||
|
IVP-24.1,"IVP-24.1. Unintentional suffocation deaths (age adjusted, per 100,000 population)",IVP,Geographic location,2,1.826213261,0.0267628,Metropolitan,2.565819568,0.071989391,1.404994489,0.0444734,1.859495696,0.0252243,Metropolitan,2.402557517,0.068983461,1.292047904,0.0410298,-0.112946585,-1.866610022,Little or no detectable change
|
|||
|
IVP-24.2,"IVP-24.2. Unintentional suffocation deaths (per 100,000 population, ages 0-12 months)",IVP,Sex,2,20.274459952,1.000065358,Female,25.839110984,1.103792117,1.274466055,0.08316228,24.010664476,1.117077209,Female,31.957918765,1.259318417,1.33098852,0.081149893,0.0565225,0.486445045,Little or no detectable change
|
|||
|
IVP-24.2,"IVP-24.2. Unintentional suffocation deaths (per 100,000 population, ages 0-12 months)",IVP,Race and ethnicity,4,9.590423116,0.949593389,Hispanic or Latino,35.860989932,5.195123096,3.739250031,0.656137335,15.71562861,1.234736396,Hispanic or Latino,41.536622959,5.326993783,2.643013779,0.397511554,-1.096236252,-1.428957304,Little or no detectable change
|
|||
|
IVP-24.2,"IVP-24.2. Unintentional suffocation deaths (per 100,000 population, ages 0-12 months)",IVP,Geographic location,2,21.810213943,0.783951951,Metropolitan,30.874447806,2.269934548,1.415595825,0.115848985,26.687258723,0.884188328,Metropolitan,37.094739965,2.656409504,1.389979404,0.109675452,-0.025616,-0.160574728,Little or no detectable change
|
|||
|
IVP-24.3,"IVP-24.3. Unintentional suffocation deaths (age adjusted, per 100,000 population, ages 65 and over)",IVP,Sex,2,6.76314561,0.168963977,Female,10.737084486,0.272324685,1.58758736,0.0565198,6.300742684,0.149108689,Female,10.282346239,0.228200791,1.631926069,0.0529457,0.0443387,0.572518391,Little or no detectable change
|
|||
|
IVP-24.3,"IVP-24.3. Unintentional suffocation deaths (age adjusted, per 100,000 population, ages 65 and over)",IVP,Race and ethnicity,4,4.986639134,0.67864749,Asian or Pacific Islander,8.036619919,0.561786327,1.61163054,0.246573266,4.471153102,0.452664253,Asian or Pacific Islander,7.758836581,0.445565705,1.735309976,0.201979917,0.123679436,0.388027857,Little or no detectable change
|
|||
|
IVP-24.3,"IVP-24.3. Unintentional suffocation deaths (age adjusted, per 100,000 population, ages 65 and over)",IVP,Geographic location,2,7.947424098,0.158727834,Metropolitan,9.722716928,0.369217848,1.223379652,0.052491,7.715395064,0.138544698,Metropolitan,8.969419155,0.327072572,1.162535305,0.0472534,-0.060844,-0.861486748,Little or no detectable change
|
|||
|
IVP-25,"IVP-25. Drowning deaths (age adjusted, per 100,000 population)",IVP,Sex,2,0.520181734,0.0187045,Female,2.034812459,0.0374304,3.911733775,0.157993689,0.542728207,0.0181213,Female,1.93734791,0.0352256,3.56964662,0.135714145,-0.342087155,-1.642443042,Little or no detectable change
|
|||
|
IVP-25,"IVP-25. Drowning deaths (age adjusted, per 100,000 population)",IVP,Race and ethnicity,5,1.046086217,0.0513786,Hispanic or Latino,1.401664727,0.144790393,1.339913196,0.15326024,0.891203654,0.039726,Hispanic or Latino,1.376071304,0.123704421,1.544059316,0.154933333,0.20414612,0.936755279,Little or no detectable change
|
|||
|
IVP-25,"IVP-25. Drowning deaths (age adjusted, per 100,000 population)",IVP,Geographic location,2,1.166996049,0.0213545,Metropolitan,1.710153564,0.0622519,1.465432179,0.0597045,1.168838851,0.0207206,Metropolitan,1.686155929,0.063166444,1.442590591,0.0597875,-0.022842,-0.270335054,Little or no detectable change
|
|||
|
IVP-26,"IVP-26. Medically consulted sports and recreation injuries (age adjusted, per 1,000 population)",IVP,Sex,2,41.206505237,3.852038923,Female,51.321804088,4.811828214,1.245478203,0.164899227,48.34650701,4.288515863,Female,50.443772184,4.964581212,1.04337987,0.138240861,-0.202098333,-0.939207374,Little or no detectable change
|
|||
|
IVP-26,"IVP-26. Medically consulted sports and recreation injuries (age adjusted, per 1,000 population)",IVP,Race and ethnicity,3,29.528185862,5.165370811,Hispanic or Latino,47.535039865,10.018914565,1.609819177,0.440938124,25.648185202,6.530866962,"Black or African American only, not Hispanic or Latino",47.770792729,7.265323156,1.862540852,0.55241943,0.252721675,0.357547738,Little or no detectable change
|
|||
|
IVP-26,"IVP-26. Medically consulted sports and recreation injuries (age adjusted, per 1,000 population)",IVP,Educational attainment,5,23.957442307,6.572186987,Less than high school,38.402079053,10.364059412,1.602929001,0.616851412,20.328664327,5.798727766,Less than high school,32.994224972,7.346954266,1.623039489,0.587330838,0.0201105,0.023611,Little or no detectable change
|
|||
|
IVP-26,"IVP-26. Medically consulted sports and recreation injuries (age adjusted, per 1,000 population)",IVP,Family income,5,32.21477073,5.338021859,At 100%-199% of the poverty threshold,53.529598397,10.812869647,1.66164766,0.434132344,45.153210134,7.204511502,At 100%-199% of the poverty threshold,50.840999496,8.510095098,1.125966445,0.260380001,-0.535681215,-1.058177901,Little or no detectable change
|
|||
|
IVP-26,"IVP-26. Medically consulted sports and recreation injuries (age adjusted, per 1,000 population)",IVP,Disability status,2,30.875023854,4.094716813,People without disabilities,54.85355948,14.421273777,1.776632133,0.523150147,33.992611554,4.0546054,People without disabilities,42.347683891,11.874028721,1.245790834,0.379604911,-0.530841299,-0.821273444,Little or no detectable change
|
|||
|
IVP-26,"IVP-26. Medically consulted sports and recreation injuries (age adjusted, per 1,000 population)",IVP,Geographic location,2,46.339445134,9.874745755,Nonmetropolitan,46.629467652,3.257664578,1.006258653,0.225659357,44.435963574,6.92799791,Nonmetropolitan,47.38194873,3.382658794,1.066297317,0.18284606,0.0600387,0.20671693,Little or no detectable change
|
|||
|
IVP-28,"IVP-28. Residential fire deaths (age adjusted, per 100,000 population)",IVP,Sex,2,0.78085108,0.0223906,Female,1.145428516,0.0285295,1.466897523,0.0557151,0.524493586,0.0169508,Female,0.827172368,0.0226211,1.577087671,0.066768122,0.110190148,1.267126488,Little or no detectable change
|
|||
|
IVP-28,"IVP-28. Residential fire deaths (age adjusted, per 100,000 population)",IVP,Race and ethnicity,5,0.336327163,0.0536804,Asian or Pacific Islander,1.246968225,0.157155157,3.707604858,0.754004056,0.162630933,0.0296027,Asian or Pacific Islander,0.773512294,0.098332714,4.756243359,1.05598787,1.048638501,0.808168927,Little or no detectable change
|
|||
|
IVP-28,"IVP-28. Residential fire deaths (age adjusted, per 100,000 population)",IVP,Geographic location,2,0.846141909,0.0183371,Metropolitan,1.540098943,0.0571834,1.820142611,0.078250524,0.538374958,0.0133983,Metropolitan,1.336860157,0.051548,2.483139561,0.113957772,0.66299695,4.796082688,Increase
|
|||
|
IVP-29,"IVP-29. Homicides (age adjusted, per 100,000 population)",IVP,Sex,2,2.515590274,0.0409508,Female,9.656464992,0.080459746,3.838647768,0.070198476,2.481353055,0.0400521,Female,9.78769815,0.079443896,3.944500413,0.071265741,0.105852645,1.058175631,Little or no detectable change
|
|||
|
IVP-29,"IVP-29. Homicides (age adjusted, per 100,000 population)",IVP,Race and ethnicity,5,2.15205914,0.115499759,Asian or Pacific Islander,9.279473488,0.27606606,4.311904498,0.264593578,1.66743197,0.088412511,Asian or Pacific Islander,9.289837588,0.258506361,5.571344292,0.333620063,1.259439794,2.957767332,Increase
|
|||
|
IVP-29,"IVP-29. Homicides (age adjusted, per 100,000 population)",IVP,Geographic location,2,4.366233077,0.101131132,Nonmetropolitan,6.416855691,0.0502189,1.469654867,0.0359309,5.295767692,0.114325966,Nonmetropolitan,6.301284139,0.0485354,1.189871706,0.0272732,-0.27978316,-6.202328205,Decrease
|
|||
|
IVP-30,"IVP-30. Firearm-related deaths (age adjusted, per 100,000 population)",IVP,Sex,2,2.712033393,0.0422664,Female,18.289219443,0.112134676,6.743729443,0.112940075,3.417369743,0.0462295,Female,20.948194423,0.115251096,6.129917451,0.089519955,-0.613811991,-4.259166498,Decrease
|
|||
|
IVP-30,"IVP-30. Firearm-related deaths (age adjusted, per 100,000 population)",IVP,Race and ethnicity,5,2.699073805,0.131233094,Asian or Pacific Islander,10.691918422,0.291408662,3.961328661,0.220802421,2.759161378,0.112803358,Asian or Pacific Islander,12.571621688,0.302397232,4.556319826,0.216126626,0.594991164,1.925704872,Little or no detectable change
|
|||
|
IVP-30,"IVP-30. Firearm-related deaths (age adjusted, per 100,000 population)",IVP,Geographic location,2,9.958625478,0.062347,Metropolitan,11.708271623,0.160822085,1.17569153,0.0177474,11.451905448,0.064446592,Metropolitan,15.216249206,0.186738349,1.328708945,0.017939,0.153017415,6.063836301,Increase
|
|||
|
IVP-31,"IVP-31. Emergency department visits for nonfatal firearm-related injuries (per 100,000 population)",IVP,Sex,2,4.251586509,1.016137821,Female,37.647691869,8.645288243,8.854974912,2.934925879,6.037117746,1.26416023,Female,47.139430981,10.626606531,7.808267614,2.402433515,-1.046707297,-0.275970794,Little or no detectable change
|
|||
|
IVP-32,"IVP-32. Emergency department visits for nonfatal physical assault injuries (age adjusted, per 100,000 population)",IVP,Sex,2,359.122537228,72.995482359,Female,663.305251638,136.551069161,1.8470165,0.534343907,388.714199818,71.321272422,Female,633.032866832,106.613833288,1.628530337,0.405596808,-0.218486163,-0.325688296,Little or no detectable change
|
|||
|
IVP-33,"IVP-33. Physical assaults (per 1,000 population, ages 12 years and over)",IVP,Sex,2,18.870849,1.061396,Female,23.778255,1.240726,1.260052211,0.096673028,13.28068,1.39087,Male,16.29259,1.57172,1.226788839,0.17467973,-0.033263,-0.166611432,Little or no detectable change
|
|||
|
IVP-33,"IVP-33. Physical assaults (per 1,000 population, ages 12 years and over)",IVP,Race and ethnicity,5,7.544639,1.76908,Asian only,25.5142995,5.070828323,3.381778704,1.039483539,4.81425,1.50132,Asian only,33.7761675,8.370254308,7.015873189,2.794594048,3.634094485,1.218816845,Little or no detectable change
|
|||
|
IVP-33,"IVP-33. Physical assaults (per 1,000 population, ages 12 years and over)",IVP,Educational attainment,6,10.25264,2.22527527,Advanced degree,17.589824,3.07329978,1.715638509,0.478030412,9.6976,1.44952,High school graduate,14.597538,2.723204447,1.505273263,0.359831642,-0.210365245,-0.351590717,Little or no detectable change
|
|||
|
IVP-33,"IVP-33. Physical assaults (per 1,000 population, ages 12 years and over)",IVP,Family income,5,13.78097993,1.823238979,"More than $75,000 income",27.16203194,4.230642223,1.970979718,0.402791458,9.86745,1.40013,"More than $75,000 income",20.3079425,3.409431758,2.058074021,0.452400845,0.087094303,0.143784298,Little or no detectable change
|
|||
|
IVP-34,"IVP-34. Physical fighting among adolescents (percent, grades 9-12)",IVP,Sex,2,22.897300404,0.73691059,Female,39.256703405,1.198529131,1.714468637,0.076055182,17.236099519,1.008241234,Female,30.031938005,1.144297274,1.742385971,0.121637822,0.0279173,0.194603068,Little or no detectable change
|
|||
|
IVP-34,"IVP-34. Physical fighting among adolescents (percent, grades 9-12)",IVP,Race and ethnicity,7,20.696991942,2.021159932,Asian only,36.992742109,2.522066043,1.787348723,0.212871662,12.714541041,1.578601445,Asian only,27.503921981,2.44973225,2.163186378,0.330537394,0.375837655,0.955957645,Little or no detectable change
|
|||
|
IVP-35,"IVP-35. Bullying among adolescents (percent, grades 9-12)",IVP,Sex,2,18.729172464,0.662646132,Male,21.21396532,0.719321356,1.132669655,0.0555068,15.584587018,0.556751787,Male,22.337105323,1.177071273,1.433281825,0.091248247,0.30061217,2.814595858,Increase
|
|||
|
IVP-35,"IVP-35. Bullying among adolescents (percent, grades 9-12)",IVP,Race and ethnicity,7,13.668249982,0.980645852,"Black or African American only, not Hispanic or Latino",21.78106851,2.301491503,1.593552103,0.203529538,12.831122611,2.862301735,Native Hawaiian or Other Pacific Islander only,17.868446843,1.450993144,1.3925864,0.33059352,-0.200965704,-0.517656612,Little or no detectable change
|
|||
|
IVP-36,"IVP-36. Weapon carrying by adolescents on school property (percent, grades 9-12)",IVP,Sex,2,2.920214018,0.241124869,Female,8.047545411,0.521761304,2.755806718,0.289314025,1.855967187,0.285993598,Female,5.613931206,0.64125819,3.024800894,0.580199263,0.268994176,0.414902188,Little or no detectable change
|
|||
|
IVP-36,"IVP-36. Weapon carrying by adolescents on school property (percent, grades 9-12)",IVP,Race and ethnicity,7,3.935929485,0.929276186,Asian only,5.910181366,1.174600535,1.501597371,0.463412342,3.410205474,1.064413843,Asian only,4.181222312,1.059249019,1.226091021,0.492884256,-0.275506349,-0.407237583,Little or no detectable change
|
|||
|
IVP-37,"IVP-37. Child maltreatment deaths (per 100,000 population, under age 18 years)",IVP,Sex,2,2.030080282,,Female,2.608977654,,1.285159842,,2.019563,,Female,2.676448,,1.32526096,,0.0401011,,Little or no detectable change
|
|||
|
IVP-38,"IVP-38. Nonfatal child maltreatment (per 1,000 population, under age 18 years)",IVP,Sex,2,8.834870137,,Male,9.85710382,,1.115704438,,8.573041619,,Male,9.416348205,,1.098367257,,-0.017337,,Little or no detectable change
|
|||
|
IVP-41,"IVP-41. Emergency department visits for nonfatal, intentional self-harm injuries (age adjusted, per 100,000 population)",IVP,Sex,2,99.713638771,17.902966331,Male,150.840578744,28.552235091,1.512737682,0.394664343,125.64113998,20.089848319,Male,189.962674262,41.361278702,1.51194644,0.40843701,-0.00079124,-0.0013931,Little or no detectable change
|
|||
|
IVP-42,"IVP-42. Children exposed to violence (percent, ages 17 years and under)",IVP,Sex,2,56.28565,1.26452,Female,61.47027,1.23875,1.092112643,0.0329599,55.55713,2.53452,Female,57.69163,2.67512,1.038419911,0.067547613,-0.053693,-0.714378407,Little or no detectable change
|
|||
|
IVP-42,"IVP-42. Children exposed to violence (percent, ages 17 years and under)",IVP,Race and ethnicity,3,51.52384,2.11404,Hispanic or Latino,62.21324,2.379297985,1.207465127,0.067726949,55.97219,2.15244,"White only, not Hispanic or Latino",57.78727,7.326756171,1.032428247,0.136788478,-0.17503688,-1.146753269,Little or no detectable change
|
|||
|
IVP-42,"IVP-42. Children exposed to violence (percent, ages 17 years and under)",IVP,Family income,4,56.33786,1.80377,Above 400% of the poverty threshold,60.502566667,2.252997118,1.073923764,0.0527401,49.94,4.18034,At 100%-199% of the poverty threshold,58.975526667,4.382235523,1.180927647,0.132181022,0.107003883,0.751884708,Little or no detectable change
|
|||
|
IVP-42,"IVP-42. Children exposed to violence (percent, ages 17 years and under)",IVP,Disability status,2,56.58775,0.9728,People without disabilities,71.09463,2.04689,1.256360785,0.0421294,54.33373,2.02641,People without disabilities,66.09898,4.27122,1.216536763,0.090764728,-0.039824,-0.397979142,Little or no detectable change
|
|||
|
MHMD-1,"MHMD-1. Suicide (age adjusted, per 100,000 population)",MHMD,Sex,2,4.640152027,0.0547109,Female,18.531068672,0.113309652,3.993633951,0.0530432,6.11426225,0.0615605,Female,22.414127477,0.118993816,3.665876039,0.0417259,-0.327757912,-4.856534719,Decrease
|
|||
|
MHMD-1,"MHMD-1. Suicide (age adjusted, per 100,000 population)",MHMD,Race and ethnicity,5,5.085764235,0.11786877,"Black or African American, not Hispanic or Latino",8.900388074,0.341480351,1.750059119,0.078443976,6.630923985,0.175809667,Asian or Pacific Islander,11.264515329,0.333697021,1.69878517,0.067536842,-0.051274,-0.495344234,Little or no detectable change
|
|||
|
MHMD-1,"MHMD-1. Suicide (age adjusted, per 100,000 population)",MHMD,Geographic location,2,10.821352152,0.064892506,Metropolitan,13.827109542,0.17492959,1.27776172,0.0178893,13.216655018,0.068850572,Metropolitan,19.126530024,0.210880209,1.44715361,0.017647,0.16939189,6.741024501,Increase
|
|||
|
MHMD-2,"MHMD-2. Suicide attempts by adolescents that required medical attention (percent, grades 9-12)",MHMD,Sex,2,1.602033289,0.220619346,Male,2.256608059,0.232640194,1.408589992,0.242313337,1.546712976,0.215124537,Male,3.093829111,0.323617749,2.000260656,0.348102877,0.591670663,1.395002147,Little or no detectable change
|
|||
|
MHMD-2,"MHMD-2. Suicide attempts by adolescents that required medical attention (percent, grades 9-12)",MHMD,Race and ethnicity,7,1.511167791,0.560335036,Asian only,2.741018645,0.971294752,1.813841362,0.930303396,1.858700675,0.241848368,"White only, not Hispanic or Latino",3.058668618,0.947434753,1.645595043,0.552875684,-0.168246319,-0.155468325,Little or no detectable change
|
|||
|
MHMD-3,"MHMD-3. Adolescents engaging in disordered eating to control their weight (percent, grades 9-12)",MHMD,Sex,2,9.760795264,0.583931817,Male,19.233514134,0.669923721,1.970486381,0.136407457,10.350737919,0.65590853,Male,22.997513843,0.879329545,2.221823606,0.164437767,0.251337225,1.176391215,Little or no detectable change
|
|||
|
MHMD-3,"MHMD-3. Adolescents engaging in disordered eating to control their weight (percent, grades 9-12)",MHMD,Race and ethnicity,7,8.760799686,1.013353236,Asian only,17.175634611,1.843994678,1.960509911,0.30939882,14.864174137,0.778804845,"White only, not Hispanic or Latino",19.087958564,2.218867799,1.284158702,0.163738873,-0.676351209,-1.932131991,Little or no detectable change
|
|||
|
MHMD-4.1,"MHMD-4.1. Adolescents with a major depressive episode in the past 12 months (percent, ages 12-17)",MHMD,Sex,2,4.3209,0.2384,Male,12.5016,0.4214,2.893286121,0.187067096,7.66169367,0.3786205,Male,21.5044176,0.5895504,2.806744635,0.158616407,-0.086541486,-0.352853764,Little or no detectable change
|
|||
|
MHMD-4.1,"MHMD-4.1. Adolescents with a major depressive episode in the past 12 months (percent, ages 12-17)",MHMD,Race and ethnicity,6,7.0683,0.6229,"Black or African American only, not Hispanic or Latino",8.9447,1.462288956,1.265466944,0.235023551,10.2794925,0.79098351,"Black or African American only, not Hispanic or Latino",14.95463346,1.622982927,1.454802702,0.193543892,0.189335758,0.621875958,Little or no detectable change
|
|||
|
MHMD-4.1,"MHMD-4.1. Adolescents with a major depressive episode in the past 12 months (percent, ages 12-17)",MHMD,Family income,5,7.7451,0.6185,Below the poverty threshold (<100%),8.550275,0.771276965,1.103959277,0.132998738,12.5522318,0.72855432,Below the poverty threshold (<100%),14.88457825,0.977607805,1.185811295,0.103936986,0.081852018,0.484921304,Little or no detectable change
|
|||
|
MHMD-4.1,"MHMD-4.1. Adolescents with a major depressive episode in the past 12 months (percent, ages 12-17)",MHMD,Geographic location,2,11.8828781,0.80062487,Nonmetropolitan,12.5862639,0.36403476,1.059193219,0.07766221,14.3953475,0.40069582,Metropolitan,14.6082733,0.84945259,1.014791293,0.065421128,-0.044402,-0.437264472,Little or no detectable change
|
|||
|
MHMD-4.2,"MHMD-4.2. Adults with a major depressive episode in the past 12 months (percent, ages 18 and over)",MHMD,Sex,2,4.5743,0.224,Male,8.2627,0.2875,1.806331023,0.108510338,5.28080316,0.19146235,Male,8.99200914,0.2382303,1.702773019,0.076462422,-0.103558004,-0.780132648,Little or no detectable change
|
|||
|
MHMD-4.2,"MHMD-4.2. Adults with a major depressive episode in the past 12 months (percent, ages 18 and over)",MHMD,Race and ethnicity,6,3.1414,0.7679,Asian only,6.86738,1.049714622,2.186089005,0.630254196,4.22872701,0.48276824,Asian only,7.562699166,0.810136042,1.788410353,0.279979987,-0.397678652,-0.576643206,Little or no detectable change
|
|||
|
MHMD-4.2,"MHMD-4.2. Adults with a major depressive episode in the past 12 months (percent, ages 18 and over)",MHMD,Educational attainment,5,4.95012816,0.42196323,Less than high school,6.0985737,0.408687524,1.232003193,0.133586738,4.85432029,0.39846125,Advanced degree,6.241965305,0.426892974,1.285857737,0.137382678,0.0538545,0.281044097,Little or no detectable change
|
|||
|
MHMD-4.2,"MHMD-4.2. Adults with a major depressive episode in the past 12 months (percent, ages 18 and over)",MHMD,Family income,5,4.0614,0.4067,At or above 600% of the poverty threshold,7.468525,0.538042099,1.838904072,0.226846104,4.6671724,0.29825661,At or above 600% of the poverty threshold,8.07928773,0.424317932,1.731088342,0.143190876,-0.107815731,-0.401909396,Little or no detectable change
|
|||
|
MHMD-4.2,"MHMD-4.2. Adults with a major depressive episode in the past 12 months (percent, ages 18 and over)",MHMD,Geographic location,2,6.59281479,0.16297644,Metropolitan,7.30575838,0.41865443,1.108139484,0.069158244,7.19846231,0.17337872,Metropolitan,7.21386299,0.36448381,1.00213944,0.0560924,-0.106000044,-1.190394382,Little or no detectable change
|
|||
|
MHMD-6,"MHMD-6. Children with mental health problems receiving treatment (percent, ages 4-17 years)",MHMD,Sex,2,72.326142345,4.90960818,Female,67.22404746,4.028780184,1.075896871,0.097424121,75.694474252,3.19548843,Male,69.818681353,4.556964946,1.08415789,0.084272918,0.008261,0.064130719,Little or no detectable change
|
|||
|
MHMD-6,"MHMD-6. Children with mental health problems receiving treatment (percent, ages 4-17 years)",MHMD,Race and ethnicity,3,71.266838875,6.497793358,"Black or African American only, not Hispanic or Latino",66.911137313,8.172353039,1.06509681,0.162337415,77.519189434,3.248675729,"White only, not Hispanic or Latino",67.00297476,10.175812764,1.156951459,0.182274392,0.09185465,0.376322693,Little or no detectable change
|
|||
|
MHMD-6,"MHMD-6. Children with mental health problems receiving treatment (percent, ages 4-17 years)",MHMD,Family income,4,75.183685583,6.711960251,At or above 600% of the poverty threshold,70.262332326,6.338827087,1.070042555,0.135810727,88.273902064,4.948765353,At or above 600% of the poverty threshold,70.356410815,6.787354564,1.2546675,0.139992708,0.184624945,0.94657665,Little or no detectable change
|
|||
|
MHMD-6,"MHMD-6. Children with mental health problems receiving treatment (percent, ages 4-17 years)",MHMD,Geographic location,2,68.912247069,3.497848697,Metropolitan,68.84539795,7.191492663,1.000971003,0.116250495,75.64872549,2.722650354,Metropolitan,60.376420717,6.77899263,1.252951477,0.147730691,0.251980473,1.340425308,Little or no detectable change
|
|||
|
MHMD-8,"MHMD-8. Persons with serious mental illness who are employed (percent, ages 18 and over)",MHMD,Sex,2,56.1689,3.4092,Male,55.9555,2.388,1.003813745,0.074480352,62.9777501,2.27829797,Male,56.4635886,1.61919346,1.115369243,0.0514895,0.111555499,1.232038098,Little or no detectable change
|
|||
|
MHMD-8,"MHMD-8. Persons with serious mental illness who are employed (percent, ages 18 and over)",MHMD,Race and ethnicity,3,54.9368,5.6857,Hispanic or Latino,44.96845,6.032325247,1.221674307,0.206987647,61.8423034,3.69053029,Hispanic or Latino,55.8087836,4.611952227,1.108110577,0.112953364,-0.11356373,-0.481607323,Little or no detectable change
|
|||
|
MHMD-8,"MHMD-8. Persons with serious mental illness who are employed (percent, ages 18 and over)",MHMD,Educational attainment,5,70.9002873,5.00926531,Advanced degree,46.296466825,4.2404025,1.531440565,0.177150682,77.8461269,4.42833549,Advanced degree,47.012843175,3.783925555,1.655848097,0.163201078,0.124407532,0.516498668,Little or no detectable change
|
|||
|
MHMD-8,"MHMD-8. Persons with serious mental illness who are employed (percent, ages 18 and over)",MHMD,Family income,5,75.6239,4.9071,At or above 600% of the poverty threshold,50.107875,4.252531942,1.509221854,0.161232506,77.5329138,3.08179217,At or above 600% of the poverty threshold,57.56902485,3.20963349,1.346781781,0.092215623,-0.162440073,-0.874552491,Little or no detectable change
|
|||
|
MHMD-8,"MHMD-8. Persons with serious mental illness who are employed (percent, ages 18 and over)",MHMD,Geographic location,2,54.1885341,1.65072129,Metropolitan,42.2003301,3.2063648,1.284078441,0.105113167,59.3117943,1.4354171,Metropolitan,55.6831962,3.319532,1.065165047,0.068532426,-0.218913394,-1.744594513,Little or no detectable change
|
|||
|
MHMD-9.1,"MHMD-9.1. Adults with serious mental illness who receive treatment (percent, ages 18 and over)",MHMD,Sex,2,68.6885,2.1404,Female,59.9795,3.0587,1.14519961,0.068440151,68.3348383,1.47234185,Female,56.3822834,2.26895743,1.211991324,0.0553242,0.066791714,0.758956649,Little or no detectable change
|
|||
|
MHMD-9.1,"MHMD-9.1. Adults with serious mental illness who receive treatment (percent, ages 18 and over)",MHMD,Race and ethnicity,3,70.6068,1.8891,"White only, not Hispanic or Latino",55.1393,7.848928282,1.2805168,0.185469869,67.2369867,1.49912913,"White only, not Hispanic or Latino",56.9956252,5.304091858,1.1796868,0.112890183,-0.10083,-0.464386874,Little or no detectable change
|
|||
|
MHMD-9.1,"MHMD-9.1. Adults with serious mental illness who receive treatment (percent, ages 18 and over)",MHMD,Educational attainment,5,72.0976461,3.39413299,4-year college degree,66.020429225,4.697110733,1.092050551,0.093164347,74.6954213,4.19344964,Advanced degree,65.422756725,4.247763407,1.141734544,0.097999189,0.049684,0.367440966,Little or no detectable change
|
|||
|
MHMD-9.1,"MHMD-9.1. Adults with serious mental illness who receive treatment (percent, ages 18 and over)",MHMD,Family income,5,73.5624,4.1702,At 400%-599% of the poverty threshold,66.102975,4.607570193,1.112845526,0.099983903,69.5715036,3.21691135,At 400%-599% of the poverty threshold,63.61202435,3.33352872,1.093684792,0.076434594,-0.019161,-0.152246701,Little or no detectable change
|
|||
|
MHMD-9.1,"MHMD-9.1. Adults with serious mental illness who receive treatment (percent, ages 18 and over)",MHMD,Geographic location,2,65.6837378,3.21817564,Nonmetropolitan,65.1930052,1.4917324,1.007527381,0.0544819,64.1051923,1.32749254,Metropolitan,64.0755923,3.0799234,1.000461954,0.0523621,-0.0070654,-0.093501323,Little or no detectable change
|
|||
|
MHMD-9.2,"MHMD-9.2. Adults with major depressive episodes who receive treatment (percent, ages 18 and over)",MHMD,Sex,2,72.1957,1.4339,Female,62.7425,2.3694,1.150666614,0.049097,69.1528244,1.14573837,Female,56.7151566,1.76101481,1.219300599,0.0429121,0.068633985,1.052554971,Little or no detectable change
|
|||
|
MHMD-9.2,"MHMD-9.2. Adults with major depressive episodes who receive treatment (percent, ages 18 and over)",MHMD,Race and ethnicity,3,72.6739,1.3568,"White only, not Hispanic or Latino",56.40355,6.653382761,1.288463226,0.153879427,68.5257691,1.19100924,"White only, not Hispanic or Latino",57.5540038,4.098161655,1.190634267,0.087268729,-0.09782896,-0.553008715,Little or no detectable change
|
|||
|
MHMD-9.2,"MHMD-9.2. Adults with major depressive episodes who receive treatment (percent, ages 18 and over)",MHMD,Educational attainment,5,74.0933765,3.26818086,Advanced degree,71.613651375,3.29853849,1.034626431,0.065982407,74.6717396,3.06425634,Advanced degree,68.987189725,3.176444623,1.082400079,0.066759,0.0477736,0.508966922,Little or no detectable change
|
|||
|
MHMD-9.2,"MHMD-9.2. Adults with major depressive episodes who receive treatment (percent, ages 18 and over)",MHMD,Family income,5,78.9488,3.5353,At or above 600% of the poverty threshold,68.101,3.190183203,1.159289878,0.075127533,70.9414245,2.43519692,At or above 600% of the poverty threshold,64.16048135,2.514603898,1.105687224,0.057606,-0.053603,-0.566199427,Little or no detectable change
|
|||
|
MHMD-9.2,"MHMD-9.2. Adults with major depressive episodes who receive treatment (percent, ages 18 and over)",MHMD,Geographic location,2,70.4688495,2.21085496,Nonmetropolitan,66.6355991,1.18570997,1.057525564,0.0381431,65.6958539,2.37761827,Nonmetropolitan,64.5982115,1.05845134,1.016991839,0.0404027,-0.040534,-0.729506152,Little or no detectable change
|
|||
|
MHMD-11.1,"MHMD-11.1. Primary care physician office visits by adults that include screening for depression (percent, ages 19 and over)",MHMD,Sex,2,2.484,0.387,Female,1.783,0.306,1.3931576,0.32291956,10.206329053,2.167991507,Male,8.407872904,1.99717353,1.213901443,0.386821708,-0.179256156,-0.355742557,Little or no detectable change
|
|||
|
MICH-1.1,"MICH-1.1. Fetal deaths (per 1,000 live births plus fetal deaths, 20 weeks of gestation or more)",MICH,Sex,2,5.999345329,0.054505,Female,6.426631556,0.0550705,1.071222142,0.0133783,5.79429411,0.0554769,Female,5.973074559,0.0550225,1.030854569,0.0136962,-0.040368,-2.108420399,Decrease
|
|||
|
MICH-1.1,"MICH-1.1. Fetal deaths (per 1,000 live births plus fetal deaths, 20 weeks of gestation or more)",MICH,Race and ethnicity,5,4.775705482,0.143749494,Asian or Pacific Islander,6.881597873,0.233995786,1.440959435,0.065436562,4.292304964,0.120090129,Asian or Pacific Islander,6.858888043,0.25682155,1.597949843,0.074691001,0.156990408,1.580954891,Little or no detectable change
|
|||
|
MICH-1.1,"MICH-1.1. Fetal deaths (per 1,000 live births plus fetal deaths, 20 weeks of gestation or more)",MICH,Geographic location,2,6.024377714,0.102385795,Nonmetropolitan,6.249421376,0.0418757,1.037355503,0.0189509,5.846520126,0.041871,Metropolitan,6.13712349,0.1085514,1.049705356,0.020031,0.0123499,0.447864048,Little or no detectable change
|
|||
|
MICH-1.2,"MICH-1.2. Perinatal deaths (per 1,000 live births plus fetal deaths, 28 weeks gestation to less than 7 days after birth)",MICH,Sex,2,6.2531753,0.055738,Female,7.0179582,0.0576618,1.122303128,0.0136053,5.5956116,0.054594,Female,6.2540465,0.0563975,1.117669872,0.0148491,-0.0046333,-0.230058146,Little or no detectable change
|
|||
|
MICH-1.2,"MICH-1.2. Perinatal deaths (per 1,000 live births plus fetal deaths, 28 weeks gestation to less than 7 days after birth)",MICH,Race and ethnicity,5,4.9646002,0.146761,Asian or Pacific Islander,7.4347314,0.23822483,1.497548866,0.065286634,4.526495,0.123474,Asian or Pacific Islander,6.952981275,0.257289378,1.536062953,0.070615504,0.0385141,0.400474344,Little or no detectable change
|
|||
|
MICH-1.2,"MICH-1.2. Perinatal deaths (per 1,000 live births plus fetal deaths, 28 weeks gestation to less than 7 days after birth)",MICH,Geographic location,2,6.5843936,0.0430609,Metropolitan,7.0140871,0.1106836,1.065259389,0.0181964,5.8167822,0.0418284,Metropolitan,6.6715021,0.1133714,1.146940331,0.0211636,0.081680942,2.926506969,Increase
|
|||
|
MICH-1.3,"MICH-1.3. All Infant deaths (per 1,000 live births, under age 1 year)",MICH,Sex,2,6.023051125,0.0539562,Female,7.312954242,0.0580733,1.214161077,0.0145351,5.244876478,0.0529204,Female,6.319063712,0.0567732,1.204806965,0.0162772,-0.009354,-0.428646923,Little or no detectable change
|
|||
|
MICH-1.3,"MICH-1.3. All Infant deaths (per 1,000 live births, under age 1 year)",MICH,Race and ethnicity,5,4.549940458,0.137700925,Asian or Pacific Islander,8.15543466,0.261103458,1.792426678,0.07896747,4.222956133,0.119368403,Asian or Pacific Islander,7.242784441,0.27477583,1.715098195,0.081142092,-0.077328483,-0.682962983,Little or no detectable change
|
|||
|
MICH-1.4,"MICH-1.4. Neonatal deaths (per 1,000 live births, under age 28 days)",MICH,Sex,2,4.051237004,0.044208,Female,4.857236155,0.047271,1.19895137,0.0175305,3.492658112,0.0431474,Female,4.191088922,0.0461871,1.199971136,0.0198653,0.00101977,0.03849,Little or no detectable change
|
|||
|
MICH-1.4,"MICH-1.4. Neonatal deaths (per 1,000 live births, under age 28 days)",MICH,Race and ethnicity,5,3.178575093,0.115014765,Asian or Pacific Islander,5.158651504,0.191827085,1.62294467,0.084206768,2.973337454,0.10009971,Asian or Pacific Islander,4.532610351,0.203616142,1.524418409,0.085576979,-0.098526261,-0.820647674,Little or no detectable change
|
|||
|
MICH-1.5,"MICH-1.5. Postneonatal deaths (per 1,000 live births, 28 days to under age 1 year)",MICH,Sex,2,1.971814114,0.0308099,Female,2.455718087,0.0335714,1.245410543,0.0258564,1.75221837,0.0305347,Female,2.127974789,0.0328771,1.214446113,0.0282832,-0.030964,-0.808028907,Little or no detectable change
|
|||
|
MICH-1.5,"MICH-1.5. Postneonatal deaths (per 1,000 live births, 28 days to under age 1 year)",MICH,Race and ethnicity,5,1.371365365,0.075478352,Asian or Pacific Islander,2.99678316,0.176322853,2.185255102,0.176060376,1.249618676,0.064837455,Asian or Pacific Islander,2.710174094,0.183666028,2.168800889,0.185109218,-0.016454,-0.064408721,Little or no detectable change
|
|||
|
MICH-1.6,"MICH-1.6. Infant deaths due to birth defects (per 1,000 live births, under age 1 year)",MICH,Sex,2,1.315223916,0.0251544,Female,1.425156752,0.0255616,1.083584883,0.0284116,1.169420272,0.0249378,Female,1.213436765,0.0248154,1.037639584,0.0306583,-0.045945,-1.099198714,Little or no detectable change
|
|||
|
MICH-1.6,"MICH-1.6. Infant deaths due to birth defects (per 1,000 live births, under age 1 year)",MICH,Race and ethnicity,5,1.091066569,0.067314814,Asian or Pacific Islander,1.488642687,0.110610979,1.364392173,0.131770975,0.915372608,0.0554835,Asian or Pacific Islander,1.310706821,0.112093923,1.431883376,0.150094593,0.067491203,0.337912603,Little or no detectable change
|
|||
|
MICH-1.7,"MICH-1.7. Infant deaths due to congenital heart defects (per 1,000 live births, under age 1 year)",MICH,Sex,2,0.347163599,0.0129173,Female,0.418210604,0.01384,1.204649926,0.0599864,0.295817116,0.012537,Female,0.315855941,0.012655,1.067740585,0.0622724,-0.136909342,-1.583404628,Little or no detectable change
|
|||
|
MICH-1.7,"MICH-1.7. Infant deaths due to congenital heart defects (per 1,000 live births, under age 1 year)",MICH,Race and ethnicity,4,0.310692318,0.0359072,Asian or Pacific Islander,0.416814786,0.0260344,1.341567727,0.176241669,0.266787241,0.0299438,Asian or Pacific Islander,0.329570774,0.0240589,1.235331843,0.165398668,-0.106235883,-0.439540064,Little or no detectable change
|
|||
|
MICH-1.8,"MICH-1.8. Infant deaths due to sudden infant death syndrome (per 1,000 live births, under age 1 year)",MICH,Sex,2,0.464039858,0.0149351,Female,0.623376974,0.0168989,1.343369461,0.0565293,0.300814675,0.0126425,Female,0.402167708,0.0142804,1.336928485,0.073557549,-0.006441,-0.069429495,Little or no detectable change
|
|||
|
MICH-1.8,"MICH-1.8. Infant deaths due to sudden infant death syndrome (per 1,000 live births, under age 1 year)",MICH,Race and ethnicity,5,0.230243669,0.0309095,Asian or Pacific Islander,0.763645604,0.095086645,3.316684485,0.607294371,0.111348439,0.0193434,Asian or Pacific Islander,0.496197021,0.080148437,4.456254828,1.057070882,1.139570343,0.934763477,Little or no detectable change
|
|||
|
MICH-1.9,"MICH-1.9. Infant deaths due to sudden unexpected or unexplained causes (per 1,000 live births, under age 1 year)",MICH,Sex,2,0.792643164,0.0195227,Female,1.057323944,0.0220131,1.333921733,0.0430195,0.804316575,0.0206779,Female,1.049322844,0.0230745,1.304614223,0.0441355,-0.029308,-0.47551667,Little or no detectable change
|
|||
|
MICH-1.9,"MICH-1.9. Infant deaths due to sudden unexpected or unexplained causes (per 1,000 live births, under age 1 year)",MICH,Race and ethnicity,5,0.43113837,0.042301,Asian or Pacific Islander,1.380559464,0.131313144,3.202126183,0.437573809,0.29652576,0.0315691,Asian or Pacific Islander,1.361234946,0.134257058,4.590612785,0.66622507,1.388486601,1.741979925,Little or no detectable change
|
|||
|
MICH-2,"MICH-2. Deaths among infants with Down syndrome (per 1,000 population, under age 1 year)",MICH,Race and ethnicity,3,45.3,,"White only, not Hispanic or Latino",55.6,,1.227373068,,45.4,,Hispanic or Latino,52.785,,1.162665198,,-0.06470787,,Little or no detectable change
|
|||
|
MICH-3.1,"MICH-3.1. Child deaths (per 100,000 population, ages 1-4 years)",MICH,Sex,2,26.481206918,0.582180332,Female,32.260130802,0.628576642,1.21822736,0.0357872,21.077546056,0.519208081,Female,27.283335236,0.57749784,1.294426551,0.0420405,0.07619919,1.380174443,Little or no detectable change
|
|||
|
MICH-3.1,"MICH-3.1. Child deaths (per 100,000 population, ages 1-4 years)",MICH,Race and ethnicity,5,20.602988339,1.527195103,Asian or Pacific Islander,33.964629102,2.34645398,1.648529259,0.16704144,15.429525403,1.216016953,Asian or Pacific Islander,26.928654879,1.894362693,1.745267866,0.184371228,0.096738607,0.388839136,Little or no detectable change
|
|||
|
MICH-3.1,"MICH-3.1. Child deaths (per 100,000 population, ages 1-4 years)",MICH,Geographic location,2,28.000227269,0.451910571,Metropolitan,38.105957496,1.296391,1.360916007,0.0512452,22.837274335,0.406321175,Metropolitan,33.273094111,1.239154779,1.45696433,0.0601343,0.096048323,1.215684485,Little or no detectable change
|
|||
|
MICH-3.2,"MICH-3.2. Child deaths (per 100,000 population, ages 5-9 years)",MICH,Sex,2,12.364269212,0.358121442,Female,15.078527462,0.386883354,1.219524357,0.0471887,10.617851254,0.326896603,Female,12.528764799,0.34761914,1.179971776,0.048904,-0.039553,-0.582009841,Little or no detectable change
|
|||
|
MICH-3.2,"MICH-3.2. Child deaths (per 100,000 population, ages 5-9 years)",MICH,Race and ethnicity,5,9.066642749,0.940167056,Asian or Pacific Islander,14.344041105,1.272027894,1.582067531,0.215862722,8.417449914,0.806245478,Asian or Pacific Islander,12.573115594,1.128419746,1.493696514,0.196062256,-0.088371017,-0.303043918,Little or no detectable change
|
|||
|
MICH-3.2,"MICH-3.2. Child deaths (per 100,000 population, ages 5-9 years)",MICH,Geographic location,2,13.174238605,0.279796758,Metropolitan,17.115254958,0.770051726,1.299145664,0.06463627,11.00299399,0.250651333,Metropolitan,15.300146229,0.740425972,1.390543905,0.074376055,0.091398241,0.927547508,Little or no detectable change
|
|||
|
MICH-4.1,"MICH-4.1. Adolescent deaths (per 100,000 population, ages 10-14)",MICH,Sex,2,13.470884502,0.36394506,Female,19.360957215,0.425952986,1.43724469,0.0500763,12.257477405,0.347110599,Female,18.576017211,0.418523156,1.515484516,0.0548417,0.078239826,1.053526953,Little or no detectable change
|
|||
|
MICH-4.1,"MICH-4.1. Adolescent deaths (per 100,000 population, ages 10-14)",MICH,Race and ethnicity,5,11.390575029,1.053059034,Asian or Pacific Islander,17.176831194,1.367980109,1.507986309,0.184009543,8.877901537,0.820762287,Asian or Pacific Islander,17.183085668,1.383973881,1.935489552,0.237317789,0.427503243,1.42359389,Little or no detectable change
|
|||
|
MICH-4.1,"MICH-4.1. Adolescent deaths (per 100,000 population, ages 10-14)",MICH,Geographic location,2,15.72847053,0.297559138,Metropolitan,20.863956281,0.823434673,1.326508909,0.0580572,14.56128753,0.285350927,Metropolitan,21.171367193,0.855103467,1.453948845,0.065271551,0.127439937,1.458862802,Little or no detectable change
|
|||
|
MICH-4.2,"MICH-4.2. Adolescent deaths (per 100,000 population, ages 15-19)",MICH,Sex,2,34.860556841,0.569954866,Female,84.311810799,0.862392367,2.41854458,0.046643,29.39647972,0.533424465,Female,72.672622013,0.820282913,2.472153901,0.0528299,0.0536093,0.760697615,Little or no detectable change
|
|||
|
MICH-4.2,"MICH-4.2. Adolescent deaths (per 100,000 population, ages 15-19)",MICH,Race and ethnicity,5,28.780815242,1.62678786,Asian or Pacific Islander,66.011893854,2.762673905,2.293607506,0.161311019,26.369885135,1.415609605,Asian or Pacific Islander,58.816851493,2.610541088,2.230455354,0.155362141,-0.063152151,-0.28197803,Little or no detectable change
|
|||
|
MICH-4.2,"MICH-4.2. Adolescent deaths (per 100,000 population, ages 15-19)",MICH,Geographic location,2,57.014491986,0.552316672,Metropolitan,78.245477645,1.521986024,1.372378757,0.0298221,49.258724458,0.520739083,Metropolitan,65.332816424,1.48407037,1.326319696,0.0332309,-0.046059,-1.031550641,Little or no detectable change
|
|||
|
MICH-4.3,"MICH-4.3. Young adult deaths (per 100,000 population, ages 20-24)",MICH,Sex,2,47.95444824,0.683322594,Female,145.80162023,1.161480177,3.040419097,0.0496348,50.930902689,0.687690552,Female,137.93113171,1.102426476,2.708201199,0.0424935,-0.332217899,-5.08445162,Decrease
|
|||
|
MICH-4.3,"MICH-4.3. Young adult deaths (per 100,000 population, ages 20-24)",MICH,Race and ethnicity,5,43.679026732,1.89729568,Asian or Pacific Islander,108.304177883,3.628361688,2.479546501,0.136017279,43.694720429,1.694408582,Asian or Pacific Islander,103.12953246,3.306721162,2.360228683,0.118760658,-0.119317817,-0.660791686,Little or no detectable change
|
|||
|
MICH-4.3,"MICH-4.3. Young adult deaths (per 100,000 population, ages 20-24)",MICH,Geographic location,2,93.836537657,0.71986279,Metropolitan,124.27969295,2.045635016,1.324427521,0.0240514,93.487537823,0.698641584,Metropolitan,109.02848972,1.917507821,1.166235546,0.0222857,-0.158191975,-4.824533317,Decrease
|
|||
|
MICH-7.1,MICH-7.1. Cesarean births among low-risk women with no prior births (percent),MICH,Sex,2,25.233,0.052,Female,29.545,0.054,1.17088733,0.00322524,23.593,0.054,Female,28.28,0.056,1.19866062,0.00362778,0.0277733,5.721532961,Increase
|
|||
|
MICH-7.1,MICH-7.1. Cesarean births among low-risk women with no prior births (percent),MICH,Race and ethnicity,5,24.18,0.351,American Indian or Alaska Native,27.897,0.116010057,1.153722084,0.0174213,23.164,0.393,American Indian or Alaska Native,27.00125,0.115062302,1.165655759,0.0203908,0.0119337,0.444963194,Little or no detectable change
|
|||
|
MICH-7.1,MICH-7.1. Cesarean births among low-risk women with no prior births (percent),MICH,Educational attainment,6,27.294,0.184,Less than high school,29.8594,0.178171967,1.093991353,0.0098491,26.742,0.181,Less than high school,27.4558,0.118568546,1.026692095,0.008243,-0.067299259,-5.23999939,Decrease
|
|||
|
MICH-7.1,MICH-7.1. Cesarean births among low-risk women with no prior births (percent),MICH,Geographic location,2,26.959,0.096,Nonmetropolitan,27.52,0.041,1.020809377,0.00394038,25.135,0.11,Nonmetropolitan,26.115,0.042,1.038989457,0.00484431,0.0181801,2.911367272,Increase
|
|||
|
MICH-8.1,"MICH-8.1. Low birth weight infants (percent, less than 2,500 grams)",MICH,Sex,2,7.602990889,0.0178466,Male,8.862204423,0.0195835,1.165620813,0.00375774,7.616729055,0.0188934,Male,8.96895407,0.0208326,1.177533559,0.00400155,0.0119127,2.170154082,Increase
|
|||
|
MICH-8.1,"MICH-8.1. Low birth weight infants (percent, less than 2,500 grams)",MICH,Race and ethnicity,5,6.934914741,0.0246499,Hispanic or Latino,9.186325818,0.079827675,1.324648703,0.0124367,7.026357897,0.0179422,"White, not Hispanic or Latino",9.492909884,0.088918426,1.351042748,0.0131168,0.026394,1.460213189,Little or no detectable change
|
|||
|
MICH-8.1,"MICH-8.1. Low birth weight infants (percent, less than 2,500 grams)",MICH,Educational attainment,6,6.53009172,0.0288224,4-year college degree,8.160768828,0.0435415,1.249717336,0.0086537,6.599473035,0.0282295,4-year college degree,8.402992448,0.0439818,1.273282337,0.0086069,0.023565,1.930745005,Little or no detectable change
|
|||
|
MICH-8.1,"MICH-8.1. Low birth weight infants (percent, less than 2,500 grams)",MICH,Geographic location,2,8.197902921,0.0142349,Metropolitan,8.343261604,0.0357715,1.017731203,0.00470777,8.262396641,0.0150818,Metropolitan,8.370884149,0.0383994,1.013130271,0.00500191,-0.0046009,-0.669817771,Little or no detectable change
|
|||
|
MICH-8.2,"MICH-8.2. Very low birth weight infants (percent, less than 1,500 grams)",MICH,Sex,2,1.472956504,0.0081116,Male,1.506829736,0.0083947,1.022996763,0.0080137,1.391196361,0.0083422,Male,1.419857594,0.0086257,1.020601861,0.0087119,-0.0023949,-0.202322713,Little or no detectable change
|
|||
|
MICH-8.2,"MICH-8.2. Very low birth weight infants (percent, less than 1,500 grams)",MICH,Race and ethnicity,5,1.140101028,0.0210574,Asian or Pacific Islander,1.715737276,0.0325976,1.504899333,0.0398756,1.059450765,0.00718718,"White, not Hispanic or Latino",1.68971682,0.0381615,1.594898863,0.03761,0.08999953,1.64190871,Little or no detectable change
|
|||
|
MICH-8.2,"MICH-8.2. Very low birth weight infants (percent, less than 1,500 grams)",MICH,Educational attainment,6,1.034931912,0.0155744,Advanced degree,1.399739333,0.0178561,1.352494126,0.0266822,1.029753609,0.0114787,4-year college degree,1.415776333,0.0186843,1.374869018,0.0237507,0.0223749,0.626367876,Little or no detectable change
|
|||
|
MICH-8.2,"MICH-8.2. Very low birth weight infants (percent, less than 1,500 grams)",MICH,Geographic location,2,1.424316455,0.0153277,Nonmetropolitan,1.499990711,0.00630725,1.053130226,0.0121676,1.38854713,0.0162243,Nonmetropolitan,1.407790502,0.00645383,1.013858639,0.0127255,-0.039272,-2.230520765,Decrease
|
|||
|
MICH-9.1,"MICH-9.1. Total preterm live births (percent, less than 37 weeks gestation)",MICH,Sex,2,10.060131549,0.0207659,Female,10.802406501,0.0209388,1.073783822,0.00304054,9.501112272,0.0213787,Female,10.346819812,0.0216917,1.089011425,0.00334917,0.0152276,3.366354602,Increase
|
|||
|
MICH-9.1,"MICH-9.1. Total preterm live births (percent, less than 37 weeks gestation)",MICH,Race and ethnicity,5,9.131882587,0.057252,Asian or Pacific Islander,11.135598789,0.086445257,1.219419838,0.0121679,8.780333666,0.0518882,Asian or Pacific Islander,11.011680642,0.096349147,1.254130089,0.0132417,0.0347103,1.930132956,Little or no detectable change
|
|||
|
MICH-9.1,"MICH-9.1. Total preterm live births (percent, less than 37 weeks gestation)",MICH,Educational attainment,6,8.171643415,0.0319488,4-year college degree,9.830804291,0.0475831,1.203038825,0.00748532,8.329143667,0.0314139,4-year college degree,10.185303724,0.0481865,1.222851248,0.00739869,0.0198124,1.882457696,Little or no detectable change
|
|||
|
MICH-9.1,"MICH-9.1. Total preterm live births (percent, less than 37 weeks gestation)",MICH,Geographic location,2,10.418422368,0.0158825,Metropolitan,10.572943665,0.0398267,1.014831545,0.0041239,9.880582621,0.0163459,Metropolitan,10.275231474,0.0421008,1.039941861,0.00459518,0.0251103,4.066895174,Increase
|
|||
|
MICH-9.2,"MICH-9.2. Late preterm live births (percent, 34-36 weeks gestation)",MICH,Sex,2,7.248480031,0.0179002,Female,7.753875163,0.0180405,1.069724291,0.00362946,6.871101401,0.0184429,Female,7.458649851,0.0187113,1.085510083,0.00398811,0.0157858,2.927412314,Increase
|
|||
|
MICH-9.2,"MICH-9.2. Late preterm live births (percent, 34-36 weeks gestation)",MICH,Race and ethnicity,5,6.816323467,0.0500899,Asian or Pacific Islander,7.836058979,0.074807262,1.149601984,0.0138496,6.503228756,0.0452097,Asian or Pacific Islander,7.817549156,0.083566714,1.202102748,0.0153284,0.0525008,2.541368709,Increase
|
|||
|
MICH-9.2,"MICH-9.2. Late preterm live births (percent, 34-36 weeks gestation)",MICH,Educational attainment,6,5.982028206,0.0276593,4-year college degree,7.040924657,0.0409563,1.177012948,0.008746,6.178132137,0.0273707,4-year college degree,7.379121434,0.0417099,1.194393592,0.0085778,0.0173806,1.418785509,Little or no detectable change
|
|||
|
MICH-9.2,"MICH-9.2. Late preterm live births (percent, 34-36 weeks gestation)",MICH,Geographic location,2,7.465275619,0.0136642,Metropolitan,7.766185705,0.0346649,1.040307967,0.00501874,7.125494022,0.0140917,Metropolitan,7.468124212,0.0364493,1.048085114,0.00551933,0.00777715,1.042520737,Little or no detectable change
|
|||
|
MICH-9.3,"MICH-9.3. Preterm live births (percent, 32-33 weeks gestation)",MICH,Sex,2,1.173129962,0.00743334,Female,1.266042806,0.00754175,1.079200811,0.0093856,1.112059045,0.00764554,Female,1.222801828,0.0078273,1.099583546,0.0103292,0.0203827,1.46045838,Little or no detectable change
|
|||
|
MICH-9.3,"MICH-9.3. Preterm live births (percent, 32-33 weeks gestation)",MICH,Race and ethnicity,5,1.023475551,0.0200037,Asian or Pacific Islander,1.343640873,0.0321846,1.312821662,0.0405864,1.012830985,0.0183581,Asian or Pacific Islander,1.301918091,0.0348387,1.285424824,0.0415454,-0.027397,-0.471709666,Little or no detectable change
|
|||
|
MICH-9.3,"MICH-9.3. Preterm live births (percent, 32-33 weeks gestation)",MICH,Educational attainment,6,0.977484928,0.0114745,4-year college degree,1.201584681,0.0174317,1.229261594,0.0229401,0.962998673,0.0111024,4-year college degree,1.199036585,0.0173289,1.245107205,0.0230189,0.0158456,0.487587184,Little or no detectable change
|
|||
|
MICH-9.3,"MICH-9.3. Preterm live births (percent, 32-33 weeks gestation)",MICH,Geographic location,2,1.177996199,0.0139746,Nonmetropolitan,1.227536251,0.00572457,1.04205451,0.0132828,1.163867098,0.00587514,Metropolitan,1.199860039,0.0150967,1.030925301,0.0139762,-0.011129,-0.577203754,Little or no detectable change
|
|||
|
MICH-9.4,"MICH-9.4. Very preterm live births (percent, less than 32 weeks gestation)",MICH,Sex,2,1.638521556,0.0087642,Female,1.782488531,0.0089253,1.08786395,0.0079706,1.517951826,0.0089142,Female,1.665368134,0.0091141,1.097115275,0.0088068,0.0092513,0.778852386,Little or no detectable change
|
|||
|
MICH-9.4,"MICH-9.4. Very preterm live births (percent, less than 32 weeks gestation)",MICH,Race and ethnicity,5,1.292083569,0.0224453,Asian or Pacific Islander,1.955898936,0.0352511,1.513755754,0.0378921,1.24297087,0.00777731,"White, not Hispanic or Latino",1.897539159,0.0416816,1.526615952,0.0348678,0.0128602,0.249744354,Little or no detectable change
|
|||
|
MICH-9.4,"MICH-9.4. Very preterm live births (percent, less than 32 weeks gestation)",MICH,Educational attainment,6,1.184497636,0.0166435,Advanced degree,1.593821482,0.0190622,1.345567466,0.0248284,1.160388343,0.0158434,Advanced degree,1.612670608,0.0192822,1.389768019,0.0252227,0.0442006,1.248863446,Little or no detectable change
|
|||
|
MICH-9.4,"MICH-9.4. Very preterm live births (percent, less than 32 weeks gestation)",MICH,Geographic location,2,1.628761762,0.0163947,Nonmetropolitan,1.725610498,0.00677017,1.059461573,0.0114457,1.591221501,0.00685474,Metropolitan,1.607247224,0.0174366,1.010071334,0.0117903,-0.04939,-3.005709238,Decrease
|
|||
|
MICH-10.1,MICH-10.1. Pregnant women beginning prenatal care in the first trimester (percent),MICH,Sex,2,77.29,0.031,Female,77.005,0.03,1.003701058,0.000561218,77.666,0.031,Female,77.323,0.03,1.004435938,0.000559109,0.000734879,0.927652832,Little or no detectable change
|
|||
|
MICH-10.1,MICH-10.1. Pregnant women beginning prenatal care in the first trimester (percent),MICH,Race and ethnicity,5,82.131,0.027,"White, not Hispanic or Latino",70.579,0.148011261,1.163674747,0.00247015,82.331,0.027,"White, not Hispanic or Latino",71.1975,0.150795667,1.156374873,0.00247838,-0.0072999,-2.086191937,Decrease
|
|||
|
MICH-10.1,MICH-10.1. Pregnant women beginning prenatal care in the first trimester (percent),MICH,Educational attainment,6,88.962,0.047,Advanced degree,76.045,0.063724014,1.169859951,0.00115888,89.012,0.046,Advanced degree,76.0486,0.065366276,1.170462047,0.00117389,0.000602095,0.365005061,Little or no detectable change
|
|||
|
MICH-10.1,MICH-10.1. Pregnant women beginning prenatal care in the first trimester (percent),MICH,Geographic location,2,77.47,0.023,Metropolitan,75.081,0.06,1.031818969,0.00087963,77.799,0.023,Metropolitan,75.548,0.06,1.029795627,0.000872686,-0.0020233,-1.632933621,Little or no detectable change
|
|||
|
MICH-10.2,MICH-10.2. Pregnant women receiving early and adequate prenatal care (percent),MICH,Sex,2,75.634,0.031,Female,75.628,0.031,1.000079336,0.000579711,76.434,0.032,Female,76.368,0.031,1.000864236,0.000583647,0.000784901,0.954143687,Little or no detectable change
|
|||
|
MICH-10.2,MICH-10.2. Pregnant women receiving early and adequate prenatal care (percent),MICH,Race and ethnicity,5,80.426,0.028,"White, not Hispanic or Latino",68.6665,0.151448561,1.17125527,0.00261527,81.065,0.028,"White, not Hispanic or Latino",69.76125,0.153155694,1.162034797,0.00258254,-0.00922,-2.508645355,Decrease
|
|||
|
MICH-10.2,MICH-10.2. Pregnant women receiving early and adequate prenatal care (percent),MICH,Educational attainment,6,84.233,0.054,Advanced degree,74.8728,0.065076878,1.125014692,0.00121503,85.081,0.053,Advanced degree,75.3508,0.066697076,1.129132007,0.00122215,0.00411731,2.389126868,Increase
|
|||
|
MICH-10.2,MICH-10.2. Pregnant women receiving early and adequate prenatal care (percent),MICH,Geographic location,2,76.021,0.059,Nonmetropolitan,75.57,0.024,1.005967977,0.000843571,76.803,0.06,Nonmetropolitan,76.336,0.024,1.00611769,0.000847263,0.000149714,0.125220062,Little or no detectable change
|
|||
|
MICH-11.1,"MICH-11.1. Pregnant women abstaining from alcohol in past 30 days (percent, ages 15-44)",MICH,Race and ethnicity,3,93.6026,1.7982,Hispanic or Latino,84.7321,4.090674963,1.104688778,0.0573992,91.26486697,2.55535126,Hispanic or Latino,86.49572315,3.193172464,1.055137337,0.0488887,-0.049551,-0.657203315,Little or no detectable change
|
|||
|
MICH-11.1,"MICH-11.1. Pregnant women abstaining from alcohol in past 30 days (percent, ages 15-44)",MICH,Family income,5,91.8003,1.4156,At 200%-399% of the poverty threshold,88.21385,3.206045655,1.040656314,0.0410852,91.9657317,1.85395038,At 100%-199% of the poverty threshold,87.331534465,3.250790705,1.05306442,0.0445782,0.0124081,0.204674945,Little or no detectable change
|
|||
|
MICH-11.1,"MICH-11.1. Pregnant women abstaining from alcohol in past 30 days (percent, ages 15-44)",MICH,Geographic location,2,92.2006098,1.98659111,Nonmetropolitan,91.04564673,0.96100646,1.012685539,0.0242973,90.76394582,1.95151503,Nonmetropolitan,89.1085711,1.17529592,1.018577054,0.0256927,0.00589152,0.166605769,Little or no detectable change
|
|||
|
MICH-11.2,"MICH-11.2. Pregnant women abstaining from binge drinking in past 30 days (percent, ages 15-44)",MICH,Race and ethnicity,3,96.05233217,1.42306701,Hispanic or Latino,95.124540415,1.64562901,1.009753443,0.0229989,96.28425398,0.72276601,"White only, not Hispanic or Latino",92.843109115,3.103616198,1.037064085,0.0355309,0.0273106,0.645261915,Little or no detectable change
|
|||
|
MICH-11.2,"MICH-11.2. Pregnant women abstaining from binge drinking in past 30 days (percent, ages 15-44)",MICH,Family income,5,96.17550685,1.20066292,At 100%-199% of the poverty threshold,94.803298008,2.125431211,1.014474273,0.0260323,96.71399062,0.91594852,At 200%-399% of the poverty threshold,94.059089895,2.428005035,1.028225881,0.0282722,0.0137516,0.357818924,Little or no detectable change
|
|||
|
MICH-11.2,"MICH-11.2. Pregnant women abstaining from binge drinking in past 30 days (percent, ages 15-44)",MICH,Geographic location,2,95.77752275,0.6710314,Metropolitan,94.14302043,1.82357118,1.017361907,0.020956,95.22836061,0.78490183,Metropolitan,93.78133131,1.60342591,1.015429823,0.0192734,-0.0019321,-0.067860719,Little or no detectable change
|
|||
|
MICH-11.3,MICH-11.3. Pregnant women abstaining from cigarette smoking (percent),MICH,Sex,2,92.801,0.018,Male,92.799,0.019,1.000021552,0.000282038,93.511,0.018,Female,93.493,0.018,1.000192528,0.000272302,0.000170976,0.436121183,Little or no detectable change
|
|||
|
MICH-11.3,MICH-11.3. Pregnant women abstaining from cigarette smoking (percent),MICH,Race and ethnicity,5,99.02,0.018,Asian or Pacific Islander,91.45025,0.10374006,1.082774514,0.00124396,99.129,0.018,Asian or Pacific Islander,92.3315,0.1001632,1.073620595,0.00118089,-0.009154,-5.336922917,Decrease
|
|||
|
MICH-11.3,MICH-11.3. Pregnant women abstaining from cigarette smoking (percent),MICH,Educational attainment,6,99.631,0.009,Advanced degree,91.8428,0.0406048,1.084799244,0.000489512,99.693,0.008,Advanced degree,92.487,0.0403825,1.077913653,0.000478531,-0.0068856,-10.058510482,Decrease
|
|||
|
MICH-11.3,MICH-11.3. Pregnant women abstaining from cigarette smoking (percent),MICH,Geographic location,2,94.139,0.013,Metropolitan,84.21,0.05,1.117907612,0.000681478,94.765,0.012,Metropolitan,85.428,0.049,1.109296718,0.000651594,-0.008611,-9.132730018,Decrease
|
|||
|
MICH-11.4,"MICH-11.4. Pregnant women abstaining from illicit drug use in the past 30 days (percent, ages 15-44)",MICH,Race and ethnicity,3,96.67471864,1.03364716,Hispanic or Latino,93.65542126,1.954602902,1.032238362,0.0242055,96.71832097,1.13057348,Hispanic or Latino,90.451467105,2.502272902,1.069284159,0.0321133,0.0370458,0.921214642,Little or no detectable change
|
|||
|
MICH-11.4,"MICH-11.4. Pregnant women abstaining from illicit drug use in the past 30 days (percent, ages 15-44)",MICH,Family income,4,96.25926343,0.92840024,At 200%-399% of the poverty threshold,94.008816023,1.938168808,1.023938685,0.0233062,98.27362397,0.75943241,At or above 600% of the poverty threshold,91.672915637,2.00341645,1.072002819,0.0248491,0.0480641,1.41081374,Little or no detectable change
|
|||
|
MICH-11.4,"MICH-11.4. Pregnant women abstaining from illicit drug use in the past 30 days (percent, ages 15-44)",MICH,Geographic location,2,95.49389392,1.25403183,Nonmetropolitan,94.3055193,0.78949621,1.012601326,0.0157698,93.20646687,0.81747992,Metropolitan,91.84625631,1.74770745,1.014809646,0.0212629,0.00220832,0.08341904,Little or no detectable change
|
|||
|
MICH-14,"MICH-14. Nonpregnant women consuming 400 µg or more of folic acid daily (percent, ages 15-44)",MICH,Race and ethnicity,3,26.81,2.82,"White only, not Hispanic or Latino",13.9,3.000416638,1.928776978,0.463140224,25.25,1.93,"White only, not Hispanic or Latino",14.4,3.628622328,1.753472222,0.461733518,-0.175304756,-0.268056131,Little or no detectable change
|
|||
|
MICH-14,"MICH-14. Nonpregnant women consuming 400 µg or more of folic acid daily (percent, ages 15-44)",MICH,Educational attainment,4,41.03,4.22,College graduate or above,17.443333333,3.117699472,2.352188037,0.485052513,34.95,2.16,College graduate or above,16.676666667,4.301052197,2.095742554,0.555811686,-0.256445483,-0.347628008,Little or no detectable change
|
|||
|
MICH-14,"MICH-14. Nonpregnant women consuming 400 µg or more of folic acid daily (percent, ages 15-44)",MICH,Family income,5,36.02,5.04,Above 500% of the poverty threshold,21.4525,5.229537902,1.679058385,0.47194225,29.48,2.81,Above 500% of the poverty threshold,19.14,4.105114696,1.540229885,0.361500279,-0.1388285,-0.233527496,Little or no detectable change
|
|||
|
MICH-14,"MICH-14. Nonpregnant women consuming 400 µg or more of folic acid daily (percent, ages 15-44)",MICH,Disability status,2,26.85,2.29,People without activity limitations,19.69,3.59,1.363636364,0.274483918,23.4,1.41,People without activity limitations,20.52,4.44,1.140350877,0.25613169,-0.223285486,-0.59475194,Little or no detectable change
|
|||
|
MICH-15,"MICH-15. Nonpregnant women who have lower (below the 25th percentile) red blood cell folate concentrations (percent, ages 15-44)",MICH,Educational attainment,4,14.03,2.02,College graduate or above,28.106666667,3.012723021,2.003326206,0.35958949,13.59,1.82,College graduate or above,23.376666667,3.305813062,1.720137356,0.335022201,-0.28318885,-0.576205758,Little or no detectable change
|
|||
|
MICH-16.1,MICH-16.1. Mothers receiving preconception counseling (percent),MICH,Race and ethnicity,7,35.53,6.68,Native Hawaiian or Other Pacific Islander only,25.116666667,1.581644714,1.41459854,0.280480585,43.2677,6.716,Native Hawaiian or Other Pacific Islander only,26.593716667,1.749611107,1.626989583,0.274289095,0.212391043,0.541391501,Little or no detectable change
|
|||
|
MICH-16.1,MICH-16.1. Mothers receiving preconception counseling (percent),MICH,Family income,3,32.29,0.62,Above 200% of the poverty threshold,19.65,0.960468636,1.643256997,0.0862955,31.2323,0.6469,Above 200% of the poverty threshold,19.78025,1.037842724,1.578963865,0.089067652,-0.064293132,-0.518426245,Little or no detectable change
|
|||
|
MICH-16.2,MICH-16.2. Mothers who took daily multivitamins or folic acid in the month prior to pregnancy (percent),MICH,Race and ethnicity,5,34.6852,0.4598,"White only, not Hispanic or Latino",22.54535,2.50223215,1.538463586,0.171962526,40.2997,0.5217,"White only, not Hispanic or Latino",25.7912,1.652378228,1.562536834,0.102131037,0.0240732,0.120363446,Little or no detectable change
|
|||
|
MICH-16.2,MICH-16.2. Mothers who took daily multivitamins or folic acid in the month prior to pregnancy (percent),MICH,Family income,3,46.0868,0.5623,Above 200% of the poverty threshold,19.1268,0.845998511,2.40954054,0.110556899,48.9242,0.6029,Above 200% of the poverty threshold,24.67115,0.984602382,1.98305308,0.082828804,-0.42648746,-3.087293719,Decrease
|
|||
|
MICH-16.3,MICH-16.3. Mothers who did not smoke in the 3 months prior to pregnancy (percent),MICH,Race and ethnicity,7,93.4348,0.8,Asian only,75.000316667,2.145732242,1.245792073,0.0372036,95.6568,0.5588,Asian only,81.309116667,3.014170462,1.176458482,0.0441501,-0.069333591,-1.200892505,Little or no detectable change
|
|||
|
MICH-16.4,MICH-16.4. Mothers who did not drink alcohol in the 3 months prior to pregnancy (percent),MICH,Race and ethnicity,5,72.9541,0.6813,Hispanic or Latino,48.4732,2.968353386,1.505039898,0.09322969,61.694,0.7854,Hispanic or Latino,45.20175,2.155331563,1.364858661,0.067359425,-0.140181237,-1.21877988,Little or no detectable change
|
|||
|
MICH-16.4,MICH-16.4. Mothers who did not drink alcohol in the 3 months prior to pregnancy (percent),MICH,Family income,3,63.0426,0.6378,At or below 100% of the poverty threshold,43.5416,1.008081133,1.447870542,0.036582,62.2378,0.6874,At or below 100% of the poverty threshold,37.35005,1.045591397,1.666337796,0.0501474,0.218467254,3.519545731,Increase
|
|||
|
MICH-16.5,MICH-16.5. Mothers having a healthy weight prior to pregnancy (percent),MICH,Race and ethnicity,5,55.1414,0.4975,"White only, not Hispanic or Latino",45.61625,3.020469384,1.208810457,0.080780712,52.5034,0.5394,"White only, not Hispanic or Latino",39.9292,2.116943518,1.314912395,0.071010079,0.106101938,0.986495315,Little or no detectable change
|
|||
|
MICH-16.5,MICH-16.5. Mothers having a healthy weight prior to pregnancy (percent),MICH,Family income,3,58.476,0.5624,Above 200% of the poverty threshold,46.8847,1.115852365,1.247229907,0.0320161,56.1877,0.6022,Above 200% of the poverty threshold,41.28185,1.155099736,1.361075146,0.0407822,0.113845239,2.195750328,Increase
|
|||
|
MICH-16.6,MICH-16.6. Mothers using most effective or moderately effective postpartum contraception (percent),MICH,Race and ethnicity,7,59.17,1.18,"Black or African American only, not Hispanic or Latino",50.876666667,3.076299725,1.163008583,0.07404832,66.3413,2.412,American Indian or Alaska Native only,46.88335,3.648579188,1.415029003,0.121546001,0.25202042,1.770731151,Little or no detectable change
|
|||
|
MICH-16.6,MICH-16.6. Mothers using most effective or moderately effective postpartum contraception (percent),MICH,Family income,3,58.27,0.71,At or below 100% of the poverty threshold,51.18,1.126454615,1.138530676,0.0286424,57.7806,0.7111,At or below 100% of the poverty threshold,50.4162,1.078535642,1.146072096,0.0282851,0.00754142,0.187342971,Little or no detectable change
|
|||
|
MICH-17.1,"MICH-17.1. Women with impaired fecundity (percent, ages 18-44)",MICH,Race and ethnicity,3,10.4864,1.0102,"Black or African American only, not Hispanic or Latino",12.55035,1.115705521,1.196821597,0.156885078,9.902190688,1.258685464,Hispanic or Latino,12.792977045,1.619341556,1.291934022,0.231757407,0.095112425,0.339851077,Little or no detectable change
|
|||
|
MICH-17.1,"MICH-17.1. Women with impaired fecundity (percent, ages 18-44)",MICH,Educational attainment,5,12.5636,1.4706,4-year college degree,14.40305,1.802616945,1.146411061,0.196451854,12.961449423,1.622311715,Some college,15.019529952,2.46011895,1.158784752,0.238875023,0.0123737,0.040008,Little or no detectable change
|
|||
|
MICH-17.1,"MICH-17.1. Women with impaired fecundity (percent, ages 18-44)",MICH,Family income,4,10.7564,0.8885,At 200%-399% of the poverty threshold,14.6706,1.624786197,1.363894983,0.188439311,12.247832765,1.072487955,Above 500% of the poverty threshold,13.458643686,1.83052704,1.098859198,0.177753115,-0.265035786,-1.023117038,Little or no detectable change
|
|||
|
MICH-17.1,"MICH-17.1. Women with impaired fecundity (percent, ages 18-44)",MICH,Disability status,2,10.810606694,0.442690284,People without activity limitations,21.282254371,1.461323698,1.968645699,0.157388392,11.540605187,0.763591947,People without activity limitations,19.38294085,2.127093903,1.679542843,0.215223289,-0.289102856,-1.084280121,Little or no detectable change
|
|||
|
MICH-17.1,"MICH-17.1. Women with impaired fecundity (percent, ages 18-44)",MICH,Geographic location,2,12.6282,0.7691,Nonmetropolitan,12.7146,0.709,1.00684183,0.083140363,12.725949944,0.732639953,Nonmetropolitan,13.970662937,1.134869064,1.097809044,0.109302616,0.090967213,0.662401283,Little or no detectable change
|
|||
|
MICH-18,MICH-18. Relapse after delivery among smokers who quit during pregnancy (percent),MICH,Race and ethnicity,7,21.4133,4.9158,Asian only,44.030533333,5.043265082,2.056223624,0.527535532,19.6386,5.9331,Asian only,39.616533333,10.828029238,2.017278896,0.821845819,-0.038945,-0.039878,Little or no detectable change
|
|||
|
MICH-18,MICH-18. Relapse after delivery among smokers who quit during pregnancy (percent),MICH,Family income,3,30.9478,1.6079,Above 200% of the poverty threshold,48.16985,3.127503237,1.556487052,0.129430162,25.7183,2.0044,Above 200% of the poverty threshold,42.09505,3.358549956,1.636774204,0.182555475,0.080287151,0.358772925,Little or no detectable change
|
|||
|
MICH-19,MICH-19. Mothers attending a postpartum care visit (percent),MICH,Race and ethnicity,7,92.8,0.83,Asian only,87.01,2.023146065,1.066544075,0.0265705,92.2413,0.7824,Asian only,85.242683333,3.098462355,1.082102257,0.0403898,0.0155582,0.321809784,Little or no detectable change
|
|||
|
MICH-19,MICH-19. Mothers attending a postpartum care visit (percent),MICH,Family income,3,95.85,0.26,Above 200% of the poverty threshold,87.94,0.714492827,1.089947692,0.0093361,95.8883,0.2483,Above 200% of the poverty threshold,86.01035,0.810567024,1.114846062,0.0108958,0.0248984,1.735254749,Little or no detectable change
|
|||
|
MICH-20,"MICH-20. Infants put to sleep on their backs (percent, under age 8 months)",MICH,Race and ethnicity,5,74.251,2.4912,American Indian or Alaska Native only,62.998525,2.631411127,1.178614896,0.063145137,84.0602,0.4117,"White only, not Hispanic or Latino",73.41555,2.152238159,1.144991763,0.0340316,-0.033623,-0.468733673,Little or no detectable change
|
|||
|
MICH-20,"MICH-20. Infants put to sleep on their backs (percent, under age 8 months)",MICH,Family income,3,77.0261,0.4868,Above 200% of the poverty threshold,64.89095,1.05872027,1.187008358,0.0207687,87.2027,0.4107,Above 200% of the poverty threshold,73.8437,1.021704703,1.180909136,0.0172598,-0.0060992,-0.22586027,Little or no detectable change
|
|||
|
MICH-21.1,MICH-21.1. Infants ever breastfed (percent),MICH,Sex,2,76.068884144,0.731403576,Female,76.048630388,0.683888879,1.000266326,0.0131686,83.332112636,0.760804848,Female,83.097921297,0.726869389,1.002818257,0.0126794,0.00255193,0.139598057,Little or no detectable change
|
|||
|
MICH-21.1,MICH-21.1. Infants ever breastfed (percent),MICH,Race and ethnicity,7,84.343072569,2.03148279,Asian only,73.244291844,3.965062574,1.151530999,0.068229603,90.631289333,1.574780998,Asian only,82.025592842,3.070683675,1.104914773,0.0456016,-0.046616,-0.568035222,Little or no detectable change
|
|||
|
MICH-21.1,MICH-21.1. Infants ever breastfed (percent),MICH,Educational attainment,6,91.674905136,0.606051091,Advanced degree,77.105849504,1.554584919,1.188948773,0.025227,92.883663695,0.857408566,Advanced degree,82.527719487,1.66529643,1.125484434,0.0249743,-0.063464338,-1.787823561,Little or no detectable change
|
|||
|
MICH-21.1,MICH-21.1. Infants ever breastfed (percent),MICH,Family income,5,88.420806219,0.803192107,At 400%-599% of the poverty threshold,77.663563953,1.19878627,1.138510799,0.0203909,90.992665006,0.916843749,At 400%-599% of the poverty threshold,83.652235996,1.318728672,1.087749346,0.0203512,-0.050761,-1.761999498,Little or no detectable change
|
|||
|
MICH-21.1,MICH-21.1. Infants ever breastfed (percent),MICH,Geographic location,2,78.224885343,0.619374248,Metropolitan,67.070945213,1.441240649,1.166300625,0.026709,81.073171041,2.113491483,Metropolitan,70.655000996,4.260096488,1.147451276,0.075374507,-0.018849,-0.235714687,Little or no detectable change
|
|||
|
MICH-21.2,MICH-21.2. Infants breastfed at 6 months (percent),MICH,Sex,2,47.405748794,0.883980321,Female,45.796866474,0.80232032,1.035130839,0.0264847,58.456528781,1.02780127,Female,56.76156748,0.941203678,1.029861073,0.0248897,-0.0052698,-0.14499432,Little or no detectable change
|
|||
|
MICH-21.2,MICH-21.2. Infants breastfed at 6 months (percent),MICH,Race and ethnicity,7,62.114792046,2.763006048,Asian only,44.455490062,4.350787457,1.397235571,0.150207008,71.98522771,3.065659452,Asian only,53.674293248,4.28202413,1.341149056,0.121284671,-0.056087,-0.290513575,Little or no detectable change
|
|||
|
MICH-21.2,MICH-21.2. Infants breastfed at 6 months (percent),MICH,Educational attainment,6,68.182788996,1.173750186,Advanced degree,49.141162102,1.933258119,1.387488331,0.0595822,77.215448569,1.223328929,Advanced degree,55.353288789,2.329073959,1.394956836,0.062717799,0.0074685,0.086333552,Little or no detectable change
|
|||
|
MICH-21.2,MICH-21.2. Infants breastfed at 6 months (percent),MICH,Family income,5,61.705648737,1.524347413,At or above 600% of the poverty threshold,48.712008729,1.454614759,1.266744081,0.0490931,72.439843544,1.63002835,At or above 600% of the poverty threshold,58.054227447,1.687542882,1.247796185,0.0458691,-0.018948,-0.282016989,Little or no detectable change
|
|||
|
MICH-21.2,MICH-21.2. Infants breastfed at 6 months (percent),MICH,Geographic location,2,49.029195899,0.761887691,Metropolitan,38.176593106,1.503008346,1.284273737,0.0543578,59.19928262,2.649418514,Metropolitan,53.110068918,4.755057987,1.114652717,0.111570807,-0.16962102,-1.366720376,Little or no detectable change
|
|||
|
MICH-21.3,MICH-21.3. Infants breastfed at 1 year (percent),MICH,Sex,2,24.983935167,0.749661182,Female,24.242033791,0.694539503,1.030603925,0.0427568,36.558758249,0.999092603,Female,35.305397839,0.894315754,1.035500532,0.0385853,0.00489661,0.085020687,Little or no detectable change
|
|||
|
MICH-21.3,MICH-21.3. Infants breastfed at 1 year (percent),MICH,Race and ethnicity,7,33.746960779,2.669525406,Asian only,22.856092431,3.428285417,1.476497388,0.250377495,46.734952377,3.809568707,Asian only,31.116182443,3.392971932,1.501950069,0.204479088,0.0254527,0.078736149,Little or no detectable change
|
|||
|
MICH-21.3,MICH-21.3. Infants breastfed at 1 year (percent),MICH,Educational attainment,6,38.322373787,1.288930204,Advanced degree,26.060637985,1.677276821,1.47050789,0.106786796,51.997347089,1.485749827,Advanced degree,34.55578668,2.166806978,1.504736314,0.103688414,0.0342284,0.229960846,Little or no detectable change
|
|||
|
MICH-21.3,MICH-21.3. Infants breastfed at 1 year (percent),MICH,Family income,5,31.211664862,1.450403737,At or above 600% of the poverty threshold,25.744017349,1.3187702,1.21238517,0.083852765,45.390157563,1.860572988,At 400%-599% of the poverty threshold,36.304708463,1.711756931,1.250255393,0.078111765,0.0378702,0.330461057,Little or no detectable change
|
|||
|
MICH-21.3,MICH-21.3. Infants breastfed at 1 year (percent),MICH,Geographic location,2,26.06961542,0.659166334,Metropolitan,21.226516507,1.318724804,1.228162681,0.082378503,36.666173623,2.608659232,Metropolitan,33.467005418,4.506275904,1.095591708,0.16684661,-0.132570973,-0.712458821,Little or no detectable change
|
|||
|
MICH-21.4,MICH-21.4. Infants breastfed exclusively through 3 months (percent),MICH,Sex,2,36.395115563,0.862112739,Female,35.437241133,0.774915571,1.027030164,0.0331093,47.845187269,1.056864171,Female,46.071069906,0.951908992,1.038508274,0.0314111,0.0114781,0.25150015,Little or no detectable change
|
|||
|
MICH-21.4,MICH-21.4. Infants breastfed exclusively through 3 months (percent),MICH,Race and ethnicity,7,39.61720932,0.704065327,"White only, not Hispanic or Latino",31.178876101,3.555988302,1.270642636,0.146667116,53.020917817,0.850539634,"White only, not Hispanic or Latino",43.862892962,4.626302489,1.208787525,0.128959294,-0.061855,-0.316719882,Little or no detectable change
|
|||
|
MICH-21.4,MICH-21.4. Infants breastfed exclusively through 3 months (percent),MICH,Educational attainment,6,51.246533108,1.315794559,Advanced degree,36.773401623,1.892921474,1.393576086,0.080163348,59.223463889,1.477342196,Advanced degree,45.550467288,2.338779764,1.300172477,0.0742187,-0.093403609,-0.854988215,Little or no detectable change
|
|||
|
MICH-21.4,MICH-21.4. Infants breastfed exclusively through 3 months (percent),MICH,Family income,5,47.590553993,1.496166387,At 400%-599% of the poverty threshold,37.250017048,1.484375165,1.27759818,0.064847494,56.528822051,1.869293571,At 400%-599% of the poverty threshold,47.560708632,1.803080064,1.188561392,0.0597924,-0.089036788,-1.009417016,Little or no detectable change
|
|||
|
MICH-21.4,MICH-21.4. Infants breastfed exclusively through 3 months (percent),MICH,Geographic location,2,36.588188004,0.745551949,Metropolitan,32.45649764,1.477904963,1.127299329,0.0562368,50.257477005,4.878604419,Nonmetropolitan,44.73759619,2.729569836,1.123383491,0.128800639,-0.0039158,-0.027862,Little or no detectable change
|
|||
|
MICH-21.5,MICH-21.5. Infants breastfed exclusively through 6 months (percent),MICH,Sex,2,15.852378562,0.689519196,Female,15.45193782,0.576603794,1.025915244,0.0587949,25.973113821,0.912288526,Female,23.970632075,0.767228867,1.083538963,0.05149,0.0576237,0.737309021,Little or no detectable change
|
|||
|
MICH-21.5,MICH-21.5. Infants breastfed exclusively through 6 months (percent),MICH,Race and ethnicity,7,21.058415834,2.764182366,Asian only,15.16286713,2.731424949,1.388814902,0.309552972,31.650277665,3.60786836,Asian only,22.71919102,3.276409167,1.393107599,0.256087793,0.0042927,0.010685,Little or no detectable change
|
|||
|
MICH-21.5,MICH-21.5. Infants breastfed exclusively through 6 months (percent),MICH,Educational attainment,6,22.68093797,1.093737052,Advanced degree,16.708746984,1.545348725,1.357429016,0.141585468,34.432705243,1.433433263,Advanced degree,23.742407165,1.879555653,1.450261762,0.129715951,0.092832746,0.483447022,Little or no detectable change
|
|||
|
MICH-21.5,MICH-21.5. Infants breastfed exclusively through 6 months (percent),MICH,Family income,5,21.461236433,1.339875996,At or above 600% of the poverty threshold,16.167424633,1.13191901,1.327436925,0.124521278,32.12145421,1.834357337,At or above 600% of the poverty threshold,25.311269029,1.51805371,1.269057437,0.105096423,-0.058379,-0.358279049,Little or no detectable change
|
|||
|
MICH-21.5,MICH-21.5. Infants breastfed exclusively through 6 months (percent),MICH,Geographic location,2,16.439144482,0.602278135,Metropolitan,13.843755237,1.189826781,1.187477256,0.110945674,25.675739882,4.452634826,Nonmetropolitan,23.446034278,2.120907161,1.095099477,0.214193852,-0.092377779,-0.382957863,Little or no detectable change
|
|||
|
MICH-23,MICH-23. Breastfed newborns receiving formula supplementation in the first 2 days of life (percent),MICH,Sex,2,22.280133845,0.811466031,Female,24.251205932,0.812079092,1.088467695,0.0538524,16.504302953,0.832884859,Female,17.822659414,0.860330452,1.07987956,0.075412761,-0.008588,-0.09267744,Little or no detectable change
|
|||
|
MICH-23,MICH-23. Breastfed newborns receiving formula supplementation in the first 2 days of life (percent),MICH,Race and ethnicity,7,18.075169974,0.599634201,"White only, not Hispanic or Latino",28.475835788,4.887106995,1.575411785,0.275381724,12.725408331,0.612332582,"White only, not Hispanic or Latino",20.831934817,3.857704582,1.637034685,0.313216949,0.0616229,0.147755094,Little or no detectable change
|
|||
|
MICH-23,MICH-23. Breastfed newborns receiving formula supplementation in the first 2 days of life (percent),MICH,Educational attainment,6,19.83665352,1.073408902,Advanced degree,23.81791795,1.904094199,1.200702423,0.115910754,13.95669117,0.968485823,4-year college degree,18.479222554,2.091651713,1.324040371,0.175789066,0.123337948,0.585751059,Little or no detectable change
|
|||
|
MICH-23,MICH-23. Breastfed newborns receiving formula supplementation in the first 2 days of life (percent),MICH,Family income,5,19.092639476,0.983485669,At 200%-399% of the poverty threshold,23.238417764,1.51954999,1.217140134,0.101316982,13.923427076,0.888380247,At 200%-399% of the poverty threshold,17.213123083,1.575166022,1.236270567,0.137915101,0.0191304,0.111788455,Little or no detectable change
|
|||
|
MICH-23,MICH-23. Breastfed newborns receiving formula supplementation in the first 2 days of life (percent),MICH,Geographic location,2,18.918442764,1.464496001,Nonmetropolitan,24.385289867,0.74932716,1.288969191,0.107354317,10.934128819,3.003846921,Nonmetropolitan,20.157646011,2.263411095,1.843553002,0.547135558,0.554583811,0.994647538,Little or no detectable change
|
|||
|
MICH-26,"MICH-26. Children with disorders diagnosed through a newborn bloodspot who require special education services for developmental delays (percent, ages 3-10 years)",MICH,Sex,2,8.9285714,3.8105534,Female,22.2222222,6.1974817,2.488888894,1.268895604,12.5,3.5254755,Male,13.3333333,3.9251171,1.066666664,0.434864272,-1.42222223,-1.06029663,Little or no detectable change
|
|||
|
MICH-27.1,"MICH-27.1. Children aged 8 years with cerebral palsy born low birth weight (percent, less than 2,500 grams)",MICH,Sex,2,48.223,3.56,Male,52.071,3.843,1.079795948,0.112717622,44.025,3.937,Male,50.781,4.419,1.153458262,0.143926915,0.073662314,0.402940307,Little or no detectable change
|
|||
|
MICH-27.1,"MICH-27.1. Children aged 8 years with cerebral palsy born low birth weight (percent, less than 2,500 grams)",MICH,Race and ethnicity,3,40.741,9.456,Hispanic or Latino,48.9765,5.640358854,1.202142805,0.311476691,40.496,4.463,"White only, not Hispanic or Latino",48.138,10.657876008,1.188709996,0.293986474,-0.013433,-0.031363,Little or no detectable change
|
|||
|
MICH-27.1,"MICH-27.1. Children aged 8 years with cerebral palsy born low birth weight (percent, less than 2,500 grams)",MICH,Educational attainment,5,46.218,4.57,High school graduate,51.58425,8.317858979,1.116107361,0.211112615,39.474,5.607,Some college,50.002,8.586377525,1.2667072,0.282291512,0.150599839,0.427232238,Little or no detectable change
|
|||
|
MICH-27.2,"MICH-27.2. Children aged 8 years with cerebral palsy were born very low birth weight (percent, less than 1,500 grams)",MICH,Sex,2,31.472,3.309,Male,33.728,3.637,1.071682766,0.161403597,25.781,3.866,Female,27.044,3.523,1.048989566,0.208368205,-0.022693,-0.08609977,Little or no detectable change
|
|||
|
MICH-27.2,"MICH-27.2. Children aged 8 years with cerebral palsy were born very low birth weight (percent, less than 1,500 grams)",MICH,Race and ethnicity,3,21.905,2.854,"White only, not Hispanic or Latino",52.587,4.625924016,2.400684775,0.377401539,23.28,3.074,"White only, not Hispanic or Latino",32.5785,9.458746217,1.399420103,0.446350103,-1.001264672,-1.712977313,Little or no detectable change
|
|||
|
MICH-27.2,"MICH-27.2. Children aged 8 years with cerebral palsy were born very low birth weight (percent, less than 1,500 grams)",MICH,Educational attainment,5,25,5.59,4-year college degree,36.35675,7.683550894,1.45427,0.447434642,28.571,4.929,Less than high school,32.29075,8.260535838,1.130193203,0.348724336,-0.324076797,-0.571282058,Little or no detectable change
|
|||
|
MICH-28.1,"MICH-28.1. Cases of spina bifida (per 100,000 live births)",MICH,Race and ethnicity,3,28.4,,"Black or African American only, not Hispanic or Latino",35.55,,1.251760563,,21.317655507,,"Black or African American only, not Hispanic or Latino",34.44307888,,1.615706702,,0.363946139,,Increase
|
|||
|
MICH-28.2,"MICH-28.2. Cases of anencephaly (per 100,000 live births)",MICH,Race and ethnicity,3,14.8,,"Black or African American only, not Hispanic or Latino",25.35,,1.712837838,,7.573377614,,"Black or African American only, not Hispanic or Latino",15.582301489,,2.057510174,,0.344672336,,Increase
|
|||
|
MICH-29.1,"MICH-29.1. Children screened for autism and other developmental delays in the past year (percent, ages 10-35 months)",MICH,Sex,2,23.66047,1.51689,Female,21.68595,1.28732,1.091050657,0.09532827,38.10647,1.55557,Male,38.00975,1.57382,1.00254461,0.058293,-0.088506047,-0.792080187,Little or no detectable change
|
|||
|
MICH-29.1,"MICH-29.1. Children screened for autism and other developmental delays in the past year (percent, ages 10-35 months)",MICH,Race and ethnicity,4,26.90741,2.83362,"Black or African American only, not Hispanic or Latino",22.735956667,5.110002531,1.183473843,0.29374161,43.12626,3.65741,"Two or more races, not Hispanic or Latino",37.743503333,3.204580913,1.142614124,0.137118221,-0.04086,-0.126044497,Little or no detectable change
|
|||
|
MICH-29.1,"MICH-29.1. Children screened for autism and other developmental delays in the past year (percent, ages 10-35 months)",MICH,Family income,4,24.32425,2.52786,At 100%-199% of the poverty threshold,22.220923333,2.312954933,1.094655233,0.161009665,39.33956,2.16373,At 200%-399% of the poverty threshold,37.53424,2.749998862,1.04809795,0.096020404,-0.046557,-0.248348672,Little or no detectable change
|
|||
|
MICH-29.2,"MICH-29.2. Children with autism spectrum disorder receiving a first evaluation by age 36 months (percent, age 8 years)",MICH,Sex,2,44.6685879,2.6688382,Female,42.342892,1.2204703,1.054925297,0.069980301,44.035532995,1.76845782,Female,41.381363501,0.849797115,1.064139247,0.0479988,0.009214,0.108578974,Little or no detectable change
|
|||
|
MICH-29.2,"MICH-29.2. Children with autism spectrum disorder receiving a first evaluation by age 36 months (percent, age 8 years)",MICH,Race and ethnicity,4,44.7115385,1.4074072,"White only, not Hispanic or Latino",35.847797067,6.122028011,1.247260422,0.216593088,43.472409152,1.818623027,Hispanic or Latino,39.429131838,3.204465864,1.102545431,0.10077978,-0.144714991,-0.605777164,Little or no detectable change
|
|||
|
MICH-29.3,"MICH-29.3. Children with autism spectrum disorder receiving special services by age 48 months (percent, Metropolitan Atlanta, age 8 years)",MICH,Sex,2,58.3333333,7.115938,Female,51.1013216,3.3178114,1.141522988,0.157746564,48.605577689,2.23074121,Male,47.619047619,5.449258431,1.020717131,0.125848946,-0.120805856,-0.598651096,Little or no detectable change
|
|||
|
MICH-29.3,"MICH-29.3. Children with autism spectrum disorder receiving special services by age 48 months (percent, Metropolitan Atlanta, age 8 years)",MICH,Race and ethnicity,4,58.3892617,4.0380907,"White only, not Hispanic or Latino",44.9390681,10.380546943,1.299298454,0.313289821,50,3.706246583,"White only, not Hispanic or Latino",46.330149319,7.876456495,1.079210854,0.200154879,-0.2200876,-0.592000309,Little or no detectable change
|
|||
|
MICH-30.1,"MICH-30.1. Children having a medical home (percent, ages under 18 years)",MICH,Sex,2,58.3,0.6,Female,56.8,0.62,1.026408451,0.0153983,55.40419,0.53701,Female,53.44854,0.52236,1.0365894,0.0142681,0.0101809,0.484978821,Little or no detectable change
|
|||
|
MICH-30.1,"MICH-30.1. Children having a medical home (percent, ages under 18 years)",MICH,Race and ethnicity,7,67.98,0.45,"White only, not Hispanic or Latino",46.791666667,3.642257542,1.452822796,0.113495735,65.73552,0.41278,"White only, not Hispanic or Latino",43.256416667,3.34370603,1.519670954,0.117856997,0.066848158,0.408557004,Little or no detectable change
|
|||
|
MICH-30.1,"MICH-30.1. Children having a medical home (percent, ages under 18 years)",MICH,Geographic location,2,60.13,0.57,Nonmetropolitan,56.72,0.53,1.060119887,0.0141109,57.1121,0.74318,Nonmetropolitan,54.26516,0.42355,1.052463496,0.0159701,-0.0076564,-0.359268824,Little or no detectable change
|
|||
|
MICH-30.2,"MICH-30.2. Children with special health care needs having a medical home (percent, ages under 18 years)",MICH,Sex,2,47.8487,0.6699,Female,46.6704,0.566,1.025247266,0.0189903,43.5799,0.7171,Female,42.5721,0.583,1.023672781,0.0219147,-0.0015745,-0.054296,Little or no detectable change
|
|||
|
MICH-30.2,"MICH-30.2. Children with special health care needs having a medical home (percent, ages under 18 years)",MICH,Race and ethnicity,7,52.7845,0.5013,"White only, not Hispanic or Latino",39.5196,5.172390179,1.335653701,0.175272169,48.7474,0.5235,"White only, not Hispanic or Latino",36.782283333,4.711573941,1.325295647,0.170357408,-0.010358,-0.042378,Little or no detectable change
|
|||
|
MICH-30.2,"MICH-30.2. Children with special health care needs having a medical home (percent, ages under 18 years)",MICH,Educational attainment,3,50.192,0.4917,More than high school,36.8366,1.99233319,1.362557891,0.074893992,46.839,0.4997,More than high school,33.00855,1.971507304,1.418995987,0.086094019,0.0564381,0.494590021,Little or no detectable change
|
|||
|
MICH-30.2,"MICH-30.2. Children with special health care needs having a medical home (percent, ages under 18 years)",MICH,Family income,4,56.42962,0.80393,Above 400% of the poverty threshold,41.9029,1.179713393,1.346675767,0.0424915,52.326,0.8269,Above 400% of the poverty threshold,38.6209,1.173758463,1.354862264,0.0464105,0.0081865,0.130100727,Little or no detectable change
|
|||
|
MICH-30.2,"MICH-30.2. Children with special health care needs having a medical home (percent, ages under 18 years)",MICH,Geographic location,2,49.7896,0.8639,Nonmetropolitan,46.5812,0.4895,1.068877573,0.0216823,44.2985,0.8894,Nonmetropolitan,42.7102,0.5188,1.037187838,0.0243386,-0.03169,-0.972200146,Little or no detectable change
|
|||
|
MICH-31.1,"MICH-31.1. Children with special health care needs receiving care in family-centered, coordinated systems (percent, ages 0-11 years)",MICH,Sex,2,20.742,0.717,Female,20.221,0.595,1.025765294,0.046565,20.14271,0.60482,Male,20.12013,0.73872,1.001122259,0.0474835,-0.024643,-0.370541388,Little or no detectable change
|
|||
|
MICH-31.1,"MICH-31.1. Children with special health care needs receiving care in family-centered, coordinated systems (percent, ages 0-11 years)",MICH,Family income,4,28.722,0.992,Above 400% of the poverty threshold,16.685666667,1.094831951,1.721357652,0.127638592,28.38905,0.99037,Above 400% of the poverty threshold,17.037003333,1.154271711,1.666317101,0.126981532,-0.055041,-0.305705747,Little or no detectable change
|
|||
|
MICH-31.1,"MICH-31.1. Children with special health care needs receiving care in family-centered, coordinated systems (percent, ages 0-11 years)",MICH,Geographic location,2,20.659,0.568,Metropolitan,18.573,0.981,1.112313573,0.066233853,20.34944,0.92225,Nonmetropolitan,20.10046,0.53754,1.012386781,0.0532744,-0.099926792,-1.175602656,Little or no detectable change
|
|||
|
MICH-31.2,"MICH-31.2. Children with special health care needs receiving care in family-centered, coordinated systems (percent, ages 12-17 years)",MICH,Sex,2,14.229,0.74,Male,13.436,0.746,1.059020542,0.080565073,13.94039,0.71124,Female,13.28677,0.58842,1.049193295,0.07088319,-0.009827,-0.091579213,Little or no detectable change
|
|||
|
MICH-31.2,"MICH-31.2. Children with special health care needs receiving care in family-centered, coordinated systems (percent, ages 12-17 years)",MICH,Family income,4,21.806,1.12,Above 400% of the poverty threshold,9.116333333,1.203895344,2.391970456,0.338931988,21.9645,0.96525,Above 400% of the poverty threshold,9.085143333,1.026854727,2.41762834,0.293182203,0.0256579,0.057254,Little or no detectable change
|
|||
|
MICH-31.2,"MICH-31.2. Children with special health care needs receiving care in family-centered, coordinated systems (percent, ages 12-17 years)",MICH,Geographic location,2,14.474,1.173,Nonmetropolitan,13.386,0.658,1.081278948,0.102488365,14.03927,0.52968,Metropolitan,11.84741,0.80502,1.185007525,0.092099613,0.103728577,0.752799553,Little or no detectable change
|
|||
|
MPS-2.4.1,"MPS-2.4.1. Drug overdose deaths involving natural, semisynthetic, and synthetic opioids, excluding heroin (per 100,000 population)",MPS,Sex,2,4.168417396,0.0519236,Female,6.523065804,0.065816612,1.56487827,0.0250853,8.084864395,0.071879272,Female,16.889564616,0.104917495,2.089034991,0.0226572,0.52415672,15.506349555,Increase
|
|||
|
MPS-2.4.1,"MPS-2.4.1. Drug overdose deaths involving natural, semisynthetic, and synthetic opioids, excluding heroin (per 100,000 population)",MPS,Race and ethnicity,5,0.59528523,0.0582112,Asian or Pacific Islander,4.114093228,0.218057471,6.911129352,0.768708289,1.322160647,0.076301785,Asian or Pacific Islander,10.02383351,0.266300384,7.581403614,0.481656392,0.670274261,0.738886292,Little or no detectable change
|
|||
|
MPS-2.4.1,"MPS-2.4.1. Drug overdose deaths involving natural, semisynthetic, and synthetic opioids, excluding heroin (per 100,000 population)",MPS,Geographic location,2,5.148120582,0.0443498,Metropolitan,6.668477284,0.126731163,1.295322667,0.0270281,11.060167306,0.16737298,Nonmetropolitan,12.739408152,0.068895315,1.151827798,0.0185102,-0.14349487,-4.380337925,Decrease
|
|||
|
MPS-2.4.2,"MPS-2.4.2. Drug overdose deaths involving natural and semisynthetic opioids, excluding heroin (per 100,000 population)",MPS,Sex,2,2.726364781,0.0420214,Female,4.323458369,0.0537665,1.585796002,0.0314057,3.599597205,0.0474476,Female,5.195075307,0.0578375,1.443237954,0.0249014,-0.142558048,-3.556843681,Decrease
|
|||
|
MPS-2.4.2,"MPS-2.4.2. Drug overdose deaths involving natural and semisynthetic opioids, excluding heroin (per 100,000 population)",MPS,Race and ethnicity,5,0.442907341,0.0498172,Asian or Pacific Islander,2.644023476,0.17386623,5.969698929,0.777789616,0.559049696,0.0500489,Asian or Pacific Islander,3.542373222,0.179278048,6.336419186,0.651637189,0.366720257,0.361412546,Little or no detectable change
|
|||
|
MPS-2.4.2,"MPS-2.4.2. Drug overdose deaths involving natural and semisynthetic opioids, excluding heroin (per 100,000 population)",MPS,Geographic location,2,3.398189581,0.0361031,Metropolitan,4.292521319,0.101327577,1.263178883,0.032699,4.348684956,0.0399391,Metropolitan,4.866125564,0.109555412,1.118987835,0.0272083,-0.144191048,-3.389667966,Decrease
|
|||
|
MPS-2.4.3,"MPS-2.4.3. Drug overdose deaths involving methadone (per 100,000 population)",MPS,Sex,2,1.053346012,0.0263295,Female,1.909396038,0.0356944,1.812695939,0.0565802,0.787120557,0.0223401,Female,1.12928701,0.0266863,1.434706539,0.0529866,-0.3779894,-4.876206934,Decrease
|
|||
|
MPS-2.4.3,"MPS-2.4.3. Drug overdose deaths involving methadone (per 100,000 population)",MPS,Race and ethnicity,4,0.558695266,0.0351651,Hispanic or Latino,1.4538,0.150442095,2.602134092,0.315171401,0.507954868,0.0307809,Hispanic or Latino,1.013436983,0.11182289,1.995131941,0.251157343,-0.607002151,-1.506190159,Little or no detectable change
|
|||
|
MPS-2.4.3,"MPS-2.4.3. Drug overdose deaths involving methadone (per 100,000 population)",MPS,Geographic location,2,1.431687894,0.0235063,Metropolitan,1.815970882,0.066810657,1.268412542,0.0511017,0.840270381,0.0465014,Nonmetropolitan,0.990159452,0.0190616,1.178381952,0.069045781,-0.09003059,-1.048093242,Little or no detectable change
|
|||
|
MPS-2.4.4,"MPS-2.4.4. Drug overdose deaths involving synthetic opioids, excluding methadone (per 100,000 population)",MPS,Sex,2,0.891652128,0.0238744,Female,1.004624662,0.025777,1.126700234,0.0417833,4.996315114,0.0571013,Female,13.03671286,0.092464573,2.609265541,0.0350963,1.482565307,27.169440552,Increase
|
|||
|
MPS-2.4.4,"MPS-2.4.4. Drug overdose deaths involving synthetic opioids, excluding methadone (per 100,000 population)",MPS,Race and ethnicity,4,0.240653422,0.02415,Hispanic or Latino,0.828345234,0.101483415,3.442067135,0.54510868,3.724372695,0.081214034,Hispanic or Latino,8.233759022,0.239111849,2.21077741,0.0802866,-1.231289725,-2.234688247,Decrease
|
|||
|
MPS-2.4.4,"MPS-2.4.4. Drug overdose deaths involving synthetic opioids, excluding methadone (per 100,000 population)",MPS,Geographic location,2,0.881028896,0.0182568,Metropolitan,1.431090974,0.0588544,1.624340564,0.074802955,6.96176663,0.133883962,Nonmetropolitan,9.343139477,0.0592926,1.342064446,0.0271786,-0.282276117,-3.546742567,Decrease
|
|||
|
MPS-5.1,"MPS-5.1. Emergency department visits for overdoses from oral anticoagulants (per 10,000 outpatient prescription visits)",MPS,Sex,2,32.450863316,7.172500038,Male,39.410695476,9.885186772,1.214472943,0.406015348,36.389108769,8.310046102,Male,37.337229349,9.136241566,1.026055065,0.343424964,-0.188417878,-0.354315967,Little or no detectable change
|
|||
|
MPS-5.2,"MPS-5.2. Emergency department visits for overdoses from injectable antidiabetic agents (per 10,000 outpatient prescription visits)",MPS,Sex,2,37.8412094,8.612550531,Female,50.42352521,12.346967117,1.332503004,0.445461601,31.191544246,6.671026273,Female,37.645999438,8.249124335,1.206929645,0.369558512,-0.125573359,-0.216954633,Little or no detectable change
|
|||
|
MPS-5.3,"MPS-5.3. Emergency department visits for overdoses from narrow-therapeutic-index medications (per 10,000 outpatient prescription visits)",MPS,Sex,2,7.603133693,1.601460292,Male,10.200816945,2.588352672,1.341659552,0.442441673,6.731527058,1.259298604,Male,8.314709618,1.521040704,1.235189214,0.32318956,-0.106470338,-0.194320606,Little or no detectable change
|
|||
|
MPS-5.4,"MPS-5.4. Emergency department visits for medication overdoses in children (per 10,000 population, under age 5 years)",MPS,Sex,2,30.664480088,3.593978263,Female,34.731027824,3.636071416,1.132614273,0.177993829,26.313124383,3.497686216,Female,27.93567636,3.974198079,1.06166322,0.206705056,-0.070951053,-0.260103828,Little or no detectable change
|
|||
|
NWS-6.1,"NWS-6.1. Physician office visits for cardiovascular disease, diabetes, or hyperlipidemia that include diet and nutrition counseling (age-adjusted percent, ages 20 and over)",NWS,Sex,2,11.699,1.005,Male,11.332,0.873,1.032386163,0.119125722,21.918788639,3.449790139,Female,18.196563365,2.964946693,1.204556498,0.272881678,0.172170335,0.578236969,Little or no detectable change
|
|||
|
NWS-6.1,"NWS-6.1. Physician office visits for cardiovascular disease, diabetes, or hyperlipidemia that include diet and nutrition counseling (age-adjusted percent, ages 20 and over)",NWS,Race and ethnicity,3,12.362,2.281,Hispanic or Latino,10.6165,1.565370244,1.164413884,0.275026433,36.849662179,6.059936801,Hispanic or Latino,20.237678141,5.38997481,1.820844364,0.569949029,0.65643048,1.037283678,Little or no detectable change
|
|||
|
NWS-6.1,"NWS-6.1. Physician office visits for cardiovascular disease, diabetes, or hyperlipidemia that include diet and nutrition counseling (age-adjusted percent, ages 20 and over)",NWS,Geographic location,2,11.653,0.823,Metropolitan,10.449,2.003,1.115226337,0.227828962,20.257170853,2.81172821,Metropolitan,19.033515607,5.448193825,1.064289502,0.338571955,-0.050937,-0.124817817,Little or no detectable change
|
|||
|
NWS-6.2,"NWS-6.2. Physician office visits by obese adults that include weight reduction, nutrition, or physical activity counseling (age-adjusted percent, ages 20 and over)",NWS,Sex,2,14.252,0.953,Female,14.187,1.144,1.004581659,0.105235202,25.861196539,3.617945983,Male,24.088469839,2.955205054,1.073592333,0.19976415,0.069010674,0.305643846,Little or no detectable change
|
|||
|
NWS-6.2,"NWS-6.2. Physician office visits by obese adults that include weight reduction, nutrition, or physical activity counseling (age-adjusted percent, ages 20 and over)",NWS,Race and ethnicity,3,14.937,0.926,"White only, not Hispanic or Latino",12.664,2.856195021,1.179485155,0.27588347,38.387569179,8.05284264,Hispanic or Latino,23.568363481,5.21281639,1.628775337,0.496513367,0.449290183,0.790987645,Little or no detectable change
|
|||
|
NWS-6.2,"NWS-6.2. Physician office visits by obese adults that include weight reduction, nutrition, or physical activity counseling (age-adjusted percent, ages 20 and over)",NWS,Geographic location,2,14.257,0.926,Metropolitan,14.043,1.704,1.015238909,0.139728583,19.254386278,1.556052828,Metropolitan,13.591623717,2.042047757,1.416636208,0.241677205,0.401397299,1.437860251,Little or no detectable change
|
|||
|
NWS-6.3,NWS-6.3. Physician office visits by child or adult patients that include nutrition and diet counseling (age-adjusted percent),NWS,Sex,2,8.029,0.51,Male,7.675,0.453,1.046123779,0.090708334,14.590609146,1.635712894,Male,12.923827944,1.372151615,1.128969622,0.174317351,0.082845843,0.421594839,Little or no detectable change
|
|||
|
NWS-6.3,NWS-6.3. Physician office visits by child or adult patients that include nutrition and diet counseling (age-adjusted percent),NWS,Race and ethnicity,3,8.662,1.214,Hispanic or Latino,7.5245,0.768505042,1.151172835,0.199634697,19.894720969,4.300231968,Hispanic or Latino,13.436268699,2.690829531,1.480673051,0.436301577,0.329500216,0.686737411,Little or no detectable change
|
|||
|
NWS-6.3,NWS-6.3. Physician office visits by child or adult patients that include nutrition and diet counseling (age-adjusted percent),NWS,Geographic location,2,7.854,0.444,Metropolitan,7.805,0.92,1.006278027,0.131549118,13.513075814,1.422767019,Metropolitan,12.362116393,3.33169018,1.093103752,0.316283485,0.086825725,0.253468861,Little or no detectable change
|
|||
|
NWS-8,"NWS-8. Healthy weight among adults (age-adjusted percent, ages 20 and over)",NWS,Sex,2,35.15781795,1.018962446,Female,26.192127889,0.815233434,1.34230476,0.0570876,30.939573396,1.140450026,Female,24.209734612,0.850847995,1.277980692,0.065087531,-0.064324068,-0.742979262,Little or no detectable change
|
|||
|
NWS-8,"NWS-8. Healthy weight among adults (age-adjusted percent, ages 20 and over)",NWS,Race and ethnicity,3,31.211584835,1.162873658,"White only, not Hispanic or Latino",21.43782768,1.306209941,1.455911732,0.103979245,28.821718462,0.836489003,"White only, not Hispanic or Latino",20.728002147,1.533885933,1.390472572,0.110526612,-0.06543916,-0.431232366,Little or no detectable change
|
|||
|
NWS-8,"NWS-8. Healthy weight among adults (age-adjusted percent, ages 20 and over)",NWS,Educational attainment,4,37.21467811,1.679086347,College graduate or above,26.475818652,1.314254623,1.4056101,0.094289394,34.844203915,1.346037493,College graduate or above,21.93918852,1.430888145,1.588217535,0.120390904,0.182607435,1.194138739,Little or no detectable change
|
|||
|
NWS-8,"NWS-8. Healthy weight among adults (age-adjusted percent, ages 20 and over)",NWS,Family income,5,35.730467607,1.608976814,Above 500% of the poverty threshold,29.113413468,1.870820058,1.227285411,0.09630163,33.201252884,1.781489933,Above 500% of the poverty threshold,26.097638928,1.739588824,1.27219374,0.108861842,0.0449083,0.308979398,Little or no detectable change
|
|||
|
NWS-8,"NWS-8. Healthy weight among adults (age-adjusted percent, ages 20 and over)",NWS,Disability status,2,31.39336307,0.802986604,People without activity limitations,27.207990276,1.208141302,1.153828811,0.0591269,28.473559229,0.920144413,People without activity limitations,25.341987495,1.203093279,1.12357246,0.064525911,-0.030256,-0.345711696,Little or no detectable change
|
|||
|
NWS-9,"NWS-9. Obesity among adults (age-adjusted percent, ages 20 and over)",NWS,Sex,2,32.513,1.188,Male,35.349,0.904,1.087226648,0.0484899,36.523898592,1.260204473,Male,40.544348522,1.015893534,1.110077239,0.0473356,0.0228506,0.337209686,Little or no detectable change
|
|||
|
NWS-9,"NWS-9. Obesity among adults (age-adjusted percent, ages 20 and over)",NWS,Race and ethnicity,3,33.363149091,1.077277801,"White only, not Hispanic or Latino",44.576428314,1.926348173,1.336097746,0.072076275,37.103787866,1.096229677,"White only, not Hispanic or Latino",46.406107551,2.181174251,1.250710782,0.069435075,-0.085386964,-0.853178033,Little or no detectable change
|
|||
|
NWS-9,"NWS-9. Obesity among adults (age-adjusted percent, ages 20 and over)",NWS,Educational attainment,4,25.42,1.419,College graduate or above,38.226666667,1.603770869,1.50380278,0.105011046,29.708118909,1.198789642,College graduate or above,44.044753395,1.864326085,1.482583045,0.086702133,-0.02122,-0.155822963,Little or no detectable change
|
|||
|
NWS-9,"NWS-9. Obesity among adults (age-adjusted percent, ages 20 and over)",NWS,Family income,5,27.418,1.313,Above 500% of the poverty threshold,35.92975,1.722376556,1.310443869,0.088794275,31.243918278,1.824389034,Above 500% of the poverty threshold,41.40386382,2.093026659,1.325181543,0.102348774,0.0147377,0.108766763,Little or no detectable change
|
|||
|
NWS-9,"NWS-9. Obesity among adults (age-adjusted percent, ages 20 and over)",NWS,Disability status,2,32.537,0.904,People without activity limitations,40.809,1.441,1.254233642,0.0563539,36.591915008,1.021354287,People without activity limitations,45.030552395,1.50071308,1.230614806,0.0534962,-0.023619,-0.303966593,Little or no detectable change
|
|||
|
NWS-10.1,"NWS-10.1. Obesity among children (percent, ages 2-5 years)",NWS,Sex,2,9.802462716,1.140422844,Male,10.957193461,1.234503577,1.117800065,0.181030937,11.533214579,1.233282362,Male,11.736814913,1.099215217,1.01765339,0.144657227,-0.100146675,-0.432173197,Little or no detectable change
|
|||
|
NWS-10.1,"NWS-10.1. Obesity among children (percent, ages 2-5 years)",NWS,Race and ethnicity,3,6.354582743,1.172375933,"White only, not Hispanic or Latino",15.597468884,2.519501529,2.454522903,0.601886252,9.86989976,1.651562491,"White only, not Hispanic or Latino",14.062714213,2.652922849,1.42480821,0.359291947,-1.029714693,-1.468987155,Little or no detectable change
|
|||
|
NWS-10.2,"NWS-10.2. Obesity among children (percent, ages 6-11 years)",NWS,Sex,2,16.029130137,1.614071691,Female,18.653030905,1.505297529,1.163695768,0.150167203,16.093838159,1.315935726,Female,19.634477894,1.623526746,1.21999971,0.141871748,0.0563039,0.272544791,Little or no detectable change
|
|||
|
NWS-10.2,"NWS-10.2. Obesity among children (percent, ages 6-11 years)",NWS,Race and ethnicity,3,13.533985599,1.749761157,"White only, not Hispanic or Latino",25.244827971,2.47795908,1.865291476,0.30278574,14.007543021,1.381255493,"White only, not Hispanic or Latino",22.552391477,2.202864095,1.610017649,0.223464721,-0.255273827,-0.678344971,Little or no detectable change
|
|||
|
NWS-10.2,"NWS-10.2. Obesity among children (percent, ages 6-11 years)",NWS,Family income,4,8.636819335,1.953047916,Above 500% of the poverty threshold,20.139644259,2.870008476,2.331835769,0.623271301,13.284123701,3.245701991,Above 500% of the poverty threshold,19.588827183,2.283331237,1.474604394,0.399189803,-0.857231375,-1.158188556,Little or no detectable change
|
|||
|
NWS-10.3,"NWS-10.3. Obesity among adolescents (percent, ages 12-19)",NWS,Sex,2,17.046462219,1.414656617,Female,18.744023887,1.646656775,1.099584397,0.132884326,20.015298466,1.700082301,Male,21.17995747,1.906964411,1.058188441,0.130981282,-0.041396,-0.221859914,Little or no detectable change
|
|||
|
NWS-10.3,"NWS-10.3. Obesity among adolescents (percent, ages 12-19)",NWS,Race and ethnicity,3,17.8199551,1.643797918,"White only, not Hispanic or Latino",22.878410492,2.608391636,1.283864654,0.188284869,17.193103485,2.330009803,"White only, not Hispanic or Latino",25.453201597,2.967945961,1.480430896,0.264670977,0.196566242,0.605171904,Little or no detectable change
|
|||
|
NWS-10.3,"NWS-10.3. Obesity among adolescents (percent, ages 12-19)",NWS,Family income,5,10.823853721,2.393103369,Above 500% of the poverty threshold,19.961754117,3.247761663,1.84423724,0.5062563,13.099162562,2.562835528,Above 500% of the poverty threshold,21.095770772,3.285787197,1.610467133,0.402740137,-0.233770108,-0.361363105,Little or no detectable change
|
|||
|
NWS-10.4,"NWS-10.4. Obesity among children and adolescents (percent, ages 2-19 years )",NWS,Sex,2,15.413409269,1.104284042,Female,16.810493837,1.042349596,1.090640853,0.103338703,17.460341095,1.009879021,Female,18.145529066,1.054740618,1.039242531,0.085217919,-0.051398,-0.383730084,Little or no detectable change
|
|||
|
NWS-10.4,"NWS-10.4. Obesity among children and adolescents (percent, ages 2-19 years )",NWS,Race and ethnicity,3,14.045596324,1.036622279,"White only, not Hispanic or Latino",21.975783533,1.390479259,1.564603099,0.152101199,14.681581831,1.001987274,"White only, not Hispanic or Latino",22.016162714,2.04107745,1.499577019,0.172631057,-0.06502608,-0.282625251,Little or no detectable change
|
|||
|
NWS-10.4,"NWS-10.4. Obesity among children and adolescents (percent, ages 2-19 years )",NWS,Family income,5,9.800739487,1.838387521,Above 500% of the poverty threshold,17.103928912,2.119781592,1.745167182,0.392351787,11.943400665,2.335053143,At 400%-499% of the poverty threshold,17.716624779,1.741033105,1.483381934,0.324590754,-0.261785248,-0.514096539,Little or no detectable change
|
|||
|
NWS-12,NWS-12. Very low food security among children in the past 12 months (percent of households),NWS,Race and ethnicity,3,0.63,0.1015,"White only, not Hispanic or Latino",2.52,0.672801226,4,1.247317596,0.285546808,0.081406335,"White only, not Hispanic or Latino",1.179081139,0.534867099,4.129204409,2.212330764,0.129204409,0.0508734,Little or no detectable change
|
|||
|
NWS-12,NWS-12. Very low food security among children in the past 12 months (percent of households),NWS,Geographic location,2,0.97,0.2743,Nonmetropolitan,1.33,0.1371,1.371134021,0.412692106,0.637132369,0.093824001,Metropolitan,0.791055355,0.216495051,1.241587139,0.385863073,-0.129546882,-0.229293669,Little or no detectable change
|
|||
|
NWS-13,NWS-13. Households with food insecurity in the past 12 months (percent),NWS,Race and ethnicity,5,8.47,0.906,Asian only,22.295,1.674797699,2.632231405,0.344054599,6.311737948,0.710475172,Asian only,18.819727096,1.951950389,2.981702861,0.456387275,0.349471456,0.611451189,Little or no detectable change
|
|||
|
NWS-13,NWS-13. Households with food insecurity in the past 12 months (percent),NWS,Educational attainment,6,3.58,0.287,Advanced degree,18.04,0.723171142,5.039106145,0.451663005,2.873067357,0.254057711,Advanced degree,15.24329677,0.840107453,5.305582806,0.552821971,0.266476661,0.373284128,Little or no detectable change
|
|||
|
NWS-13,NWS-13. Households with food insecurity in the past 12 months (percent),NWS,Family income,5,1.67,0.188,At or above 600% of the poverty threshold,21.3075,0.71940114,12.758982036,1.499548154,0.948577276,0.150110662,At or above 600% of the poverty threshold,17.639848564,0.752439389,18.596111261,3.047834181,5.837129225,1.718443312,Little or no detectable change
|
|||
|
NWS-13,NWS-13. Households with food insecurity in the past 12 months (percent),NWS,Geographic location,2,14.19,0.536,Nonmetropolitan,14.66,0.244,1.033121917,0.0426446,10.804338565,0.22265115,Metropolitan,12.709006987,0.570478267,1.176287369,0.0580993,0.143165452,1.986476594,Increase
|
|||
|
NWS-14,"NWS-14. Mean daily intake of fruits (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Sex,2,0.573578561,0.0189747,Female,0.483217506,0.017715,1.186998722,0.0586138,0.561809606,0.0118769,Female,0.451759874,0.0130594,1.243602274,0.0445374,0.0566036,0.768914633,Little or no detectable change
|
|||
|
NWS-14,"NWS-14. Mean daily intake of fruits (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Race and ethnicity,3,0.630498226,0.0177126,Hispanic or Latino,0.542191972,0.0233916,1.162868981,0.059868,0.586672545,0.0144252,Hispanic or Latino,0.485411565,0.0261654,1.208608502,0.071606055,0.0457395,0.490052345,Little or no detectable change
|
|||
|
NWS-14,"NWS-14. Mean daily intake of fruits (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Educational attainment,4,0.606470073,0.0266951,College graduate or above,0.469448961,0.0289905,1.291876484,0.097970781,0.564987471,0.02496,College graduate or above,0.451010306,0.0266856,1.252715213,0.092502574,-0.039161,-0.290642184,Little or no detectable change
|
|||
|
NWS-14,"NWS-14. Mean daily intake of fruits (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Family income,5,0.569376326,0.0217011,Above 500% of the poverty threshold,0.512914604,0.0309363,1.11008016,0.079201903,0.580826502,0.0261479,Above 500% of the poverty threshold,0.486891526,0.0220747,1.192927934,0.076218578,0.082847774,0.753715764,Little or no detectable change
|
|||
|
NWS-14,"NWS-14. Mean daily intake of fruits (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Disability status,2,0.500940418,0.0279851,People with activity limitations,0.500539112,0.0168131,1.000801747,0.065238196,0.484136651,0.0142541,People without activity limitations,0.460911425,0.0275171,1.050389782,0.069920965,0.049588,0.518544345,Little or no detectable change
|
|||
|
NWS-15.1,"NWS-15.1. Mean daily intake of total vegetables (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Sex,2,0.819919983,0.0140644,Female,0.692244957,0.0118702,1.184436196,0.0287277,0.820912513,0.0179697,Female,0.693187416,0.0107656,1.184257668,0.0317851,-0.00017853,-0.004167,Little or no detectable change
|
|||
|
NWS-15.1,"NWS-15.1. Mean daily intake of total vegetables (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Race and ethnicity,3,0.794311224,0.0156811,Hispanic or Latino,0.712475662,0.020629,1.114860852,0.0390691,0.783637214,0.0113551,Hispanic or Latino,0.715478824,0.0223248,1.095262624,0.0376804,-0.019598,-0.361064944,Little or no detectable change
|
|||
|
NWS-15.1,"NWS-15.1. Mean daily intake of total vegetables (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Educational attainment,4,0.935819213,0.0272569,College graduate or above,0.831071163,0.0278278,1.126039809,0.049973,0.93283486,0.0223104,College graduate or above,0.793004749,0.0267631,1.176329474,0.048658,0.0502897,0.72101041,Little or no detectable change
|
|||
|
NWS-15.1,"NWS-15.1. Mean daily intake of total vegetables (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Family income,5,0.789241459,0.0212225,Above 500% of the poverty threshold,0.744243264,0.028593,1.060461675,0.0497295,0.801170559,0.0250804,Above 500% of the poverty threshold,0.738120405,0.027127,1.085419877,0.0524007,0.0249582,0.345482065,Little or no detectable change
|
|||
|
NWS-15.1,"NWS-15.1. Mean daily intake of total vegetables (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Disability status,2,0.85835816,0.0140121,People without activity limitations,0.771241877,0.031119,1.112955852,0.0484429,0.856734433,0.0155446,People without activity limitations,0.755641805,0.0206211,1.133783795,0.037155,0.0208279,0.341157426,Little or no detectable change
|
|||
|
NWS-15.2,"NWS-15.2. Mean daily intake of dark green vegetables, red and orange vegetables, and beans and peas (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Sex,2,0.311078225,0.0087261,Female,0.264206248,0.00737978,1.17740677,0.046609,0.340104979,0.0118245,Female,0.281539524,0.00668397,1.20801859,0.0508573,0.0306118,0.443748886,Little or no detectable change
|
|||
|
NWS-15.2,"NWS-15.2. Mean daily intake of dark green vegetables, red and orange vegetables, and beans and peas (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Race and ethnicity,3,0.334034022,0.009744,Hispanic or Latino,0.277453601,0.0162167,1.203927509,0.078644706,0.344283677,0.00609483,Hispanic or Latino,0.284722755,0.0134448,1.209189189,0.0609796,0.00526168,0.0528725,Little or no detectable change
|
|||
|
NWS-15.2,"NWS-15.2. Mean daily intake of dark green vegetables, red and orange vegetables, and beans and peas (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Educational attainment,4,0.393748571,0.0143875,College graduate or above,0.302379099,0.0171782,1.302168609,0.087957026,0.415960726,0.0155702,College graduate or above,0.313709266,0.0176662,1.325943383,0.089659642,0.0237748,0.189290025,Little or no detectable change
|
|||
|
NWS-15.2,"NWS-15.2. Mean daily intake of dark green vegetables, red and orange vegetables, and beans and peas (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Family income,5,0.306384213,0.022814,At 400%-499% of the poverty threshold,0.286376729,0.0131157,1.069864208,0.093526748,0.351963569,0.0183519,Above 500% of the poverty threshold,0.293591351,0.0150931,1.198821313,0.087780752,0.128957105,1.005371367,Little or no detectable change
|
|||
|
NWS-15.2,"NWS-15.2. Mean daily intake of dark green vegetables, red and orange vegetables, and beans and peas (age adjusted, cup equivalents per 1,000 calories, ages 2 years and over)",NWS,Disability status,2,0.330079902,0.0085369,People without activity limitations,0.284602558,0.0145458,1.159792467,0.06643337,0.353268752,0.0092018,People without activity limitations,0.300384451,0.0140431,1.176055388,0.062938894,0.0162629,0.177710875,Little or no detectable change
|
|||
|
NWS-16,"NWS-16. Mean daily intake of whole grains (age adjusted, ounce equivalents per 1,000 calories, ages 2 years and over)",NWS,Sex,2,0.365097095,0.0141666,Female,0.31976367,0.0108096,1.141771657,0.0587583,0.48231626,0.0106931,Female,0.446097995,0.0132177,1.081189034,0.0400103,-0.060583,-0.852231874,Little or no detectable change
|
|||
|
NWS-16,"NWS-16. Mean daily intake of whole grains (age adjusted, ounce equivalents per 1,000 calories, ages 2 years and over)",NWS,Race and ethnicity,3,0.46414666,0.0147725,"White only, not Hispanic or Latino",0.357694677,0.0235682,1.297605721,0.094950437,0.48253505,0.0151245,"White only, not Hispanic or Latino",0.396212865,0.0246963,1.217868204,0.084968299,-0.079737518,-0.625797647,Little or no detectable change
|
|||
|
NWS-16,"NWS-16. Mean daily intake of whole grains (age adjusted, ounce equivalents per 1,000 calories, ages 2 years and over)",NWS,Educational attainment,4,0.480898141,0.0200699,College graduate or above,0.327473954,0.0246578,1.46850806,0.126423078,0.601334598,0.0183562,College graduate or above,0.3931302,0.0222393,1.529606724,0.098323512,0.0610987,0.381491994,Little or no detectable change
|
|||
|
NWS-16,"NWS-16. Mean daily intake of whole grains (age adjusted, ounce equivalents per 1,000 calories, ages 2 years and over)",NWS,Family income,5,0.404378701,0.0188863,Above 500% of the poverty threshold,0.324700197,0.0223798,1.245390993,0.103688771,0.547026901,0.0185817,Above 500% of the poverty threshold,0.437238131,0.0276173,1.251096056,0.08972588,0.00570506,0.0416061,Little or no detectable change
|
|||
|
NWS-16,"NWS-16. Mean daily intake of whole grains (age adjusted, ounce equivalents per 1,000 calories, ages 2 years and over)",NWS,Disability status,2,0.376879537,0.0128723,People without activity limitations,0.327474551,0.0229056,1.150866642,0.08958304,0.4695717,0.0108486,People without activity limitations,0.411652197,0.022506,1.140700093,0.067704418,-0.010167,-0.090538452,Little or no detectable change
|
|||
|
NWS-17.1,"NWS-17.1. Mean percent of total daily calorie intake from solid fats (age adjusted, ages 2 years and over)",NWS,Sex,2,16.552287775,0.138463974,Female,16.71002835,0.141000362,1.009529835,0.0119951,14.8180865,0.158039022,Female,14.910267439,0.136611603,1.00622084,0.0141479,-0.003309,-0.178397606,Little or no detectable change
|
|||
|
NWS-17.1,"NWS-17.1. Mean percent of total daily calorie intake from solid fats (age adjusted, ages 2 years and over)",NWS,Race and ethnicity,3,14.501870172,0.158012785,Hispanic or Latino,15.514753617,0.282172365,1.069845022,0.0226823,14.262517188,0.125417644,Hispanic or Latino,14.875266905,0.27959062,1.042962242,0.0216425,-0.026883,-0.857477847,Little or no detectable change
|
|||
|
NWS-17.1,"NWS-17.1. Mean percent of total daily calorie intake from solid fats (age adjusted, ages 2 years and over)",NWS,Educational attainment,4,15.993459976,0.26785857,College graduate or above,16.609856494,0.339137705,1.038540536,0.0274258,14.240573309,0.272964663,College graduate or above,14.685871142,0.386124952,1.031269656,0.0335551,-0.0072709,-0.167774205,Little or no detectable change
|
|||
|
NWS-17.1,"NWS-17.1. Mean percent of total daily calorie intake from solid fats (age adjusted, ages 2 years and over)",NWS,Family income,5,16.00616223,0.256057803,Below the poverty threshold (<100%),16.759822571,0.296863183,1.047085637,0.0249914,14.167879788,0.293449892,Above 500% of the poverty threshold,15.072017814,0.289478679,1.063816043,0.0300495,0.0167304,0.428065394,Little or no detectable change
|
|||
|
NWS-17.1,"NWS-17.1. Mean percent of total daily calorie intake from solid fats (age adjusted, ages 2 years and over)",NWS,Disability status,2,16.174386821,0.354323357,People with activity limitations,16.356928315,0.139076953,1.011285837,0.0237639,14.455230401,0.144948708,People without activity limitations,14.963978972,0.343090795,1.035194774,0.0259054,0.0239089,0.680118382,Little or no detectable change
|
|||
|
NWS-17.2,"NWS-17.2. Mean percent of total daily calorie intake from added sugars (age adjusted, ages 2 years and over)",NWS,Sex,2,15.024611504,0.253240624,Male,15.0807763,0.293497863,1.003738186,0.0258421,13.432613851,0.209332889,Male,13.544851809,0.210772772,1.00835563,0.0222069,0.00461744,0.135516655,Little or no detectable change
|
|||
|
NWS-17.2,"NWS-17.2. Mean percent of total daily calorie intake from added sugars (age adjusted, ages 2 years and over)",NWS,Race and ethnicity,3,13.538718243,0.281674418,Hispanic or Latino,15.361522546,0.369043102,1.134636401,0.0360593,12.802044472,0.260667403,Hispanic or Latino,14.436751237,0.361696946,1.127691071,0.0364069,-0.0069453,-0.135540109,Little or no detectable change
|
|||
|
NWS-17.2,"NWS-17.2. Mean percent of total daily calorie intake from added sugars (age adjusted, ages 2 years and over)",NWS,Educational attainment,4,11.656369514,0.257573658,College graduate or above,15.076222581,0.513811666,1.293389212,0.0525345,10.290244736,0.209922659,College graduate or above,14.462340685,0.458792456,1.405441858,0.0530083,0.112052646,1.501426809,Little or no detectable change
|
|||
|
NWS-17.2,"NWS-17.2. Mean percent of total daily calorie intake from added sugars (age adjusted, ages 2 years and over)",NWS,Family income,5,13.337468169,0.322372117,Above 500% of the poverty threshold,15.675023745,0.497029895,1.175262317,0.0468579,11.43924904,0.285104474,Above 500% of the poverty threshold,14.103543578,0.338811615,1.232908168,0.0426787,0.0576459,0.909515059,Little or no detectable change
|
|||
|
NWS-17.2,"NWS-17.2. Mean percent of total daily calorie intake from added sugars (age adjusted, ages 2 years and over)",NWS,Disability status,2,13.999196949,0.293705244,People without activity limitations,16.146300283,0.689183374,1.153373322,0.0548558,12.594695182,0.172609006,People without activity limitations,15.65978429,0.535600531,1.243363501,0.0458129,0.089990179,1.259130847,Little or no detectable change
|
|||
|
NWS-17.3,"NWS-17.3. Mean percent of total daily calorie intake from solid fats and added sugars (age adjusted, ages 2 years and over)",NWS,Sex,2,31.633064075,0.356097122,Female,31.734639855,0.304821031,1.003211064,0.0148456,28.34288129,0.276548479,Male,28.362938309,0.2787482,1.000707656,0.0138587,-0.0025034,-0.123265776,Little or no detectable change
|
|||
|
NWS-17.3,"NWS-17.3. Mean percent of total daily calorie intake from solid fats and added sugars (age adjusted, ages 2 years and over)",NWS,Race and ethnicity,3,28.040588414,0.368517845,Hispanic or Latino,30.876276163,0.572952602,1.101127969,0.0250385,27.064561661,0.309226145,Hispanic or Latino,29.312018142,0.4692864,1.083040565,0.0213022,-0.018087,-0.550201832,Little or no detectable change
|
|||
|
NWS-17.3,"NWS-17.3. Mean percent of total daily calorie intake from solid fats and added sugars (age adjusted, ages 2 years and over)",NWS,Educational attainment,4,27.64982949,0.421032957,College graduate or above,31.686079075,0.682440488,1.145977377,0.0302273,24.530818044,0.39755027,College graduate or above,29.148211827,0.599906151,1.188228284,0.0311267,0.0422509,0.973781412,Little or no detectable change
|
|||
|
NWS-17.3,"NWS-17.3. Mean percent of total daily calorie intake from solid fats and added sugars (age adjusted, ages 2 years and over)",NWS,Family income,5,29.863375856,0.33898694,Above 500% of the poverty threshold,32.304909951,0.610673756,1.081756802,0.0238525,25.607128828,0.40392467,Above 500% of the poverty threshold,29.175561392,0.46373841,1.139353091,0.0255139,0.0575963,1.649046534,Little or no detectable change
|
|||
|
NWS-17.3,"NWS-17.3. Mean percent of total daily calorie intake from solid fats and added sugars (age adjusted, ages 2 years and over)",NWS,Disability status,2,30.356125263,0.333183599,People without activity limitations,32.320687105,0.762264943,1.064717148,0.0276969,27.049925583,0.267791014,People without activity limitations,30.623763261,0.543766709,1.132120056,0.0230156,0.067402908,1.871699714,Little or no detectable change
|
|||
|
NWS-18,"NWS-18. Mean percent of total daily calorie intake from saturated fats (age adjusted, ages 2 years and over)",NWS,Sex,2,11.269095461,0.067197732,Male,11.317471199,0.07373212,1.004292779,0.0088697,11.392079466,0.086117833,Female,11.418939253,0.07982365,1.00235776,0.0103205,-0.001935,-0.142194476,Little or no detectable change
|
|||
|
NWS-18,"NWS-18. Mean percent of total daily calorie intake from saturated fats (age adjusted, ages 2 years and over)",NWS,Race and ethnicity,3,10.299665811,0.074592359,Hispanic or Latino,10.785129701,0.127618636,1.047133946,0.0145271,10.84271386,0.131353242,"Black or African American only, not Hispanic or Latino",11.375254253,0.121713064,1.049115046,0.0169569,0.0019811,0.088724116,Little or no detectable change
|
|||
|
NWS-18,"NWS-18. Mean percent of total daily calorie intake from saturated fats (age adjusted, ages 2 years and over)",NWS,Educational attainment,4,10.858709912,0.187573942,Less than high school,11.326833836,0.159676294,1.043110455,0.0232575,10.852140533,0.181057495,Less than high school,11.302127552,0.176831102,1.041465277,0.0238209,-0.0016452,-0.049417,Little or no detectable change
|
|||
|
NWS-18,"NWS-18. Mean percent of total daily calorie intake from saturated fats (age adjusted, ages 2 years and over)",NWS,Family income,5,10.884907717,0.131964397,Below the poverty threshold (<100%),11.3689591,0.148993949,1.044469957,0.018647,11.052658606,0.126386859,Below the poverty threshold (<100%),11.48034691,0.16982517,1.038695514,0.0194206,-0.0057744,-0.214476676,Little or no detectable change
|
|||
|
NWS-18,"NWS-18. Mean percent of total daily calorie intake from saturated fats (age adjusted, ages 2 years and over)",NWS,Disability status,2,10.950664182,0.171885522,People with activity limitations,11.194827129,0.075530241,1.022296634,0.0174659,11.237626042,0.183975119,People with activity limitations,11.238858638,0.065426478,1.000109685,0.0173775,-0.022187,-0.900514912,Little or no detectable change
|
|||
|
NWS-19,"NWS-19. Mean total daily sodium intake (age adjusted, mg, ages 2 years and over)",NWS,Sex,2,3128.95266458,15.285980105,Female,4211.192796486,35.529584133,1.345879356,0.0131214,3132.319296408,20.479978968,Female,4090.914172033,39.933304413,1.306033576,0.0153444,-0.039846,-1.973579476,Decrease
|
|||
|
NWS-19,"NWS-19. Mean total daily sodium intake (age adjusted, mg, ages 2 years and over)",NWS,Race and ethnicity,3,3474.962194003,38.655174369,"Black or African American only, not Hispanic or Latino",3604.809667576,44.855123511,1.037366586,0.0173142,3464.906232931,42.110957806,"Black or African American only, not Hispanic or Latino",3586.695209843,51.576668981,1.035149285,0.0194898,-0.0022173,-0.085052603,Little or no detectable change
|
|||
|
NWS-19,"NWS-19. Mean total daily sodium intake (age adjusted, mg, ages 2 years and over)",NWS,Educational attainment,4,3664.405735269,67.658680235,Less than high school,3800.687700376,69.272944703,1.037190741,0.0269093,3650.049920983,67.770480204,Less than high school,3746.725826172,58.125454898,1.026486187,0.024836,-0.010705,-0.292323697,Little or no detectable change
|
|||
|
NWS-19,"NWS-19. Mean total daily sodium intake (age adjusted, mg, ages 2 years and over)",NWS,Family income,5,3556.611511869,41.343292254,At 100%-199% of the poverty threshold,3688.928761677,65.144225677,1.037203178,0.0219284,3486.720199014,45.820576203,Below the poverty threshold (<100%),3645.195351458,71.478123501,1.045451067,0.0246781,0.0082479,0.249836982,Little or no detectable change
|
|||
|
NWS-19,"NWS-19. Mean total daily sodium intake (age adjusted, mg, ages 2 years and over)",NWS,Disability status,2,3673.948792775,67.193941469,People with activity limitations,3829.430316242,27.308659975,1.042320003,0.0204612,3567.02018538,57.044565003,People with activity limitations,3807.514741966,31.147059708,1.067421698,0.0191741,0.0251017,0.895173173,Little or no detectable change
|
|||
|
NWS-20,"NWS-20. Mean total daily calcium intake (age adjusted, mg, ages 2 years and over)",NWS,Sex,2,1145.263092644,15.083096336,Male,1050.676570474,21.060616754,1.090024395,0.0261434,1149.495748898,13.048979548,Male,1001.795275794,12.194666387,1.147435785,0.0190986,0.0574114,1.773245287,Little or no detectable change
|
|||
|
NWS-20,"NWS-20. Mean total daily calcium intake (age adjusted, mg, ages 2 years and over)",NWS,Race and ethnicity,3,1212.47557182,9.757151603,"White only, not Hispanic or Latino",999.439766604,20.503879341,1.213155222,0.0267346,1137.561593674,12.798626607,"White only, not Hispanic or Latino",956.427100959,21.927402914,1.189386617,0.0303748,-0.023769,-0.58739521,Little or no detectable change
|
|||
|
NWS-20,"NWS-20. Mean total daily calcium intake (age adjusted, mg, ages 2 years and over)",NWS,Educational attainment,4,1279.209946928,23.509740794,College graduate or above,1065.506341948,30.81877224,1.200565305,0.0411422,1171.626908754,15.796752482,College graduate or above,1059.654337874,29.479795479,1.105668959,0.0341819,-0.094896346,-1.774124871,Little or no detectable change
|
|||
|
NWS-20,"NWS-20. Mean total daily calcium intake (age adjusted, mg, ages 2 years and over)",NWS,Family income,5,1205.404259449,26.266695974,Above 500% of the poverty threshold,1062.636809622,29.650940812,1.134352065,0.0401603,1136.185316157,25.970470345,Above 500% of the poverty threshold,1060.794044743,22.126841476,1.071070602,0.0331437,-0.063281463,-1.215299919,Little or no detectable change
|
|||
|
NWS-20,"NWS-20. Mean total daily calcium intake (age adjusted, mg, ages 2 years and over)",NWS,Disability status,2,1139.112249119,18.303705282,People without activity limitations,1091.330819287,31.130347634,1.043782718,0.0341729,1104.824323051,12.20768684,People without activity limitations,1081.030481871,25.132014111,1.022010333,0.026307,-0.021772,-0.504855899,Little or no detectable change
|
|||
|
NWS-21.3,"NWS-21.3. Iron deficiency in females (percent, ages 12-49 years)",NWS,Race and ethnicity,3,8.108286832,0.895506319,"White only, not Hispanic or Latino",13.19923694,2.24747016,1.627870007,0.330383572,9.038997798,1.908555204,"White only, not Hispanic or Latino",20.63247088,4.497615881,2.28260603,0.692730152,0.654736023,0.853096441,Little or no detectable change
|
|||
|
NWS-21.3,"NWS-21.3. Iron deficiency in females (percent, ages 12-49 years)",NWS,Educational attainment,4,8.725305887,1.403524662,College graduate or above,12.043797809,1.819263435,1.38032958,0.304587813,11.247699178,1.33108283,Some college or AA degree,14.207110892,3.790141926,1.26311263,0.368637184,-0.11721695,-0.245125541,Little or no detectable change
|
|||
|
NWS-21.3,"NWS-21.3. Iron deficiency in females (percent, ages 12-49 years)",NWS,Family income,4,7.316853425,1.20185321,Above 500% of the poverty threshold,12.302518911,1.416131722,1.681394747,0.33724797,10.789341754,2.540417192,Above 500% of the poverty threshold,14.439045607,3.404558881,1.338269371,0.445938511,-0.343125375,-0.613705749,Little or no detectable change
|
|||
|
NWS-21.3,"NWS-21.3. Iron deficiency in females (percent, ages 12-49 years)",NWS,Disability status,2,10.583480337,0.4447511,People without activity limitations,12.084537398,1.885193622,1.141830193,0.184475713,12.687961614,1.500027498,People without activity limitations,13.294077101,3.525310782,1.047770911,0.304209156,-0.094059282,-0.264379971,Little or no detectable change
|
|||
|
OA-2.1,"OA-2.1. Males who are current on a core set of clinical preventive services (percent, ages 65 and over)",OA,Race and ethnicity,6,43.28606,0.42316,"White only, not Hispanic or Latino",30.860994,4.067599094,1.402613927,0.185377778,43.821961901,0.410969349,"White only, not Hispanic or Latino",32.122282791,3.595694688,1.364223153,0.153243012,-0.038391,-0.159617837,Little or no detectable change
|
|||
|
OA-2.1,"OA-2.1. Males who are current on a core set of clinical preventive services (percent, ages 65 and over)",OA,Educational attainment,4,45.26418,0.67458,4-year college degree or more,38.252626667,1.232794499,1.183295997,0.042015,46.007475907,0.614025484,4-year college degree or more,38.222006521,1.200492817,1.203690756,0.0410776,0.0203948,0.347091112,Little or no detectable change
|
|||
|
OA-2.1,"OA-2.1. Males who are current on a core set of clinical preventive services (percent, ages 65 and over)",OA,Disability status,2,46.81344,0.77186,People with activity limitations,37.95105,0.52239,1.233521602,0.0264942,46.78700923,0.709882763,People with activity limitations,38.086160066,0.499598749,1.22845173,0.024639,-0.0050699,-0.140127679,Little or no detectable change
|
|||
|
OA-2.2,"OA-2.2. Females who are current on a core set of clinical preventive services (percent, ages 65 and over)",OA,Race and ethnicity,6,45.28093,0.32623,"White only, not Hispanic or Latino",32.905098,3.64702253,1.376106827,0.152842103,45.015171382,0.336645643,"White only, not Hispanic or Latino",34.197307094,3.693506508,1.31633673,0.14251237,-0.05977,-0.286015757,Little or no detectable change
|
|||
|
OA-2.2,"OA-2.2. Females who are current on a core set of clinical preventive services (percent, ages 65 and over)",OA,Educational attainment,4,47.6363,0.68454,4-year college degree or more,40.49411,0.878496066,1.176376021,0.0306117,46.671475483,0.610151242,4-year college degree or more,40.819812433,0.965435662,1.143353502,0.0308978,-0.033023,-0.759237821,Little or no detectable change
|
|||
|
OA-2.2,"OA-2.2. Females who are current on a core set of clinical preventive services (percent, ages 65 and over)",OA,Disability status,2,45.29406,0.60402,People with activity limitations,41.20964,0.40525,1.099113217,0.0182115,46.129520119,0.555391767,People with activity limitations,40.27218764,0.428694517,1.145443613,0.0184082,0.0463304,1.789201317,Little or no detectable change
|
|||
|
OA-5,"OA-5. Older adults with at least one activity of daily living limitation or living in a long-term care facility (age-adjusted percent, ages 65 and over)",OA,Sex,2,24.34,0.75,Male,31.2,0.75,1.281840592,0.0500955,28.5791,0.653,Male,34.9141,0.6027,1.221665483,0.0349845,-0.060175,-0.984828175,Little or no detectable change
|
|||
|
OA-5,"OA-5. Older adults with at least one activity of daily living limitation or living in a long-term care facility (age-adjusted percent, ages 65 and over)",OA,Race and ethnicity,3,27.17,0.7,"White only, not Hispanic or Latino",33.885,2.674864483,1.247147589,0.103559904,31.0424,0.4942,"White only, not Hispanic or Latino",36.4865,2.244364044,1.17537626,0.074682185,-0.07177133,-0.562120534,Little or no detectable change
|
|||
|
OA-6,"OA-6. Older adults with reduced physical or cognitive function who engage in leisure-time physical activities (percent, ages 65 and over)",OA,Sex,2,38.901667205,2.497501548,Male,28.810881502,1.693755887,1.350242172,0.117539382,43.842295929,1.864744952,Male,39.572148228,1.578991995,1.107907907,0.064612927,-0.242334264,-1.806738002,Little or no detectable change
|
|||
|
OA-6,"OA-6. Older adults with reduced physical or cognitive function who engage in leisure-time physical activities (percent, ages 65 and over)",OA,Race and ethnicity,4,46.370997169,7.912508811,Asian only,30.410978012,4.028448243,1.524811111,0.329386514,53.068182405,5.622404833,Asian only,38.403297046,3.762750434,1.381865269,0.199414143,-0.142945842,-0.371242225,Little or no detectable change
|
|||
|
OA-6,"OA-6. Older adults with reduced physical or cognitive function who engage in leisure-time physical activities (percent, ages 65 and over)",OA,Educational attainment,6,51.527528584,5.34495104,Associates degree,35.756521101,5.122828793,1.441066608,0.254894271,56.168459873,4.142833311,Advanced degree,41.263290759,3.299002444,1.361221048,0.148067749,-0.079845561,-0.270865075,Little or no detectable change
|
|||
|
OA-6,"OA-6. Older adults with reduced physical or cognitive function who engage in leisure-time physical activities (percent, ages 65 and over)",OA,Family income,5,42.283849839,6.028277605,At or above 600% of the poverty threshold,31.868455297,3.984702676,1.326824581,0.251604958,54.076816172,3.951398525,At or above 600% of the poverty threshold,40.211006498,3.085465731,1.344826227,0.142494603,0.0180016,0.0622564,Little or no detectable change
|
|||
|
OA-6,"OA-6. Older adults with reduced physical or cognitive function who engage in leisure-time physical activities (percent, ages 65 and over)",OA,Disability status,2,59.258275039,3.138356199,People without disabilities,37.721007667,1.753566086,1.570962143,0.11070484,62.562636663,3.355124141,People without disabilities,36.24463197,1.714806711,1.726121449,0.123443818,0.155159306,0.935748965,Little or no detectable change
|
|||
|
OA-6,"OA-6. Older adults with reduced physical or cognitive function who engage in leisure-time physical activities (percent, ages 65 and over)",OA,Geographic location,2,34.605349326,1.766925612,Metropolitan,26.1021495,2.788543346,1.325766268,0.15697945,42.458092534,1.406488943,Metropolitan,35.884653236,2.830326841,1.183182467,0.101217796,-0.142583801,-0.763369324,Little or no detectable change
|
|||
|
OA-10,"OA-10. Pressure ulcer-related hospitalizations among older adults (per 100,000 population, ages 65 and over)",OA,Sex,2,976.307498442,32.197131486,Female,998.945814438,31.781839977,1.02318769,0.0468861,938.897165475,21.652188184,Female,993.28161666,22.502403274,1.057923757,0.0341998,0.0347361,0.598547816,Little or no detectable change
|
|||
|
OA-10,"OA-10. Pressure ulcer-related hospitalizations among older adults (per 100,000 population, ages 65 and over)",OA,Geographic location,2,764.646893698,30.990256178,Nonmetropolitan,1042.262332001,38.969847426,1.36306358,0.075161246,766.206655419,30.036909439,Nonmetropolitan,1010.959550086,26.415911643,1.319434572,0.0621614,-0.043629,-0.447312164,Little or no detectable change
|
|||
|
OA-11,"OA-11. Emergency department visits for falls (age adjusted, per 100,000 population, ages 65 and over)",OA,Sex,2,3935.661,409.297,Male,6078.123,526.557,1.544371581,0.209035121,5086.077451,665.2440323,Male,7206.936967,669.4934335,1.416993162,0.227326885,-0.127378419,-0.41246081,Little or no detectable change
|
|||
|
OA-11,"OA-11. Emergency department visits for falls (age adjusted, per 100,000 population, ages 65 and over)",OA,Race and ethnicity,3,4006.977,889.534,Hispanic or Latino,7188.198,1765.29929956,1.793920454,0.593875366,5650.52826,1145.826116,Hispanic or Latino,6326.2879975,1556.311764608,1.119592312,0.356937693,-0.674328142,-0.973215101,Little or no detectable change
|
|||
|
OA-11,"OA-11. Emergency department visits for falls (age adjusted, per 100,000 population, ages 65 and over)",OA,Geographic location,2,5457.36,472.98,Metropolitan,5990.242,956.479,1.097644649,0.199417623,6484.460169,662.036135,Metropolitan,7018.002726,1733.900795,1.082280181,0.289324327,-0.015364,-0.043725,Little or no detectable change
|
|||
|
OH-1.1,"OH-1.1. Children with dental caries experience in their primary teeth (percent, ages 3-5 years)",OH,Sex,2,31.192,2.01801678,Female,35.403,2.815002179,1.135002565,0.116347366,27.225593062,2.723764752,Female,28.52614148,2.768413452,1.047769333,0.146039761,-0.087233232,-0.467187651,Little or no detectable change
|
|||
|
OH-1.1,"OH-1.1. Children with dental caries experience in their primary teeth (percent, ages 3-5 years)",OH,Family income,4,11.382,2.958859184,Above 500% of the poverty threshold,37.301666667,4.1318835,3.27725063,0.926070138,15.484473481,4.335941522,Above 500% of the poverty threshold,30.041071526,4.095453032,1.940077043,0.604220789,-1.337173587,-1.209288288,Little or no detectable change
|
|||
|
OH-1.2,"OH-1.2. Children with dental caries experience in their primary or permanent teeth (percent, ages 6-9 years)",OH,Sex,2,51.745,3.138107411,Female,56.847,2.431209675,1.098598898,0.081525797,49.593779792,2.909166621,Female,53.354661617,2.673684704,1.07583374,0.08300078,-0.022765,-0.195673563,Little or no detectable change
|
|||
|
OH-1.2,"OH-1.2. Children with dental caries experience in their primary or permanent teeth (percent, ages 6-9 years)",OH,Family income,5,30.678,5.262627761,Above 500% of the poverty threshold,55.395,5.058799336,1.805691375,0.350913801,32.783829699,4.884657785,Above 500% of the poverty threshold,52.863851751,4.433884806,1.612497754,0.275706862,-0.193193621,-0.43290981,Little or no detectable change
|
|||
|
OH-1.3,"OH-1.3. Adolescents with dental caries experience in their permanent teeth (percent, ages 13-15)",OH,Sex,2,50.297,2.324870677,Male,57.221,1.930122073,1.137662286,0.065099068,49.741549785,3.355350361,Male,50.007018241,2.911530374,1.005336956,0.089582922,-0.13232533,-1.194936496,Little or no detectable change
|
|||
|
OH-1.3,"OH-1.3. Adolescents with dental caries experience in their permanent teeth (percent, ages 13-15)",OH,Family income,5,34.294,4.588255121,Above 500% of the poverty threshold,56.36075,3.476030998,1.643458039,0.242118825,32.538613549,6.362630108,Above 500% of the poverty threshold,50.900783178,6.728181035,1.564319362,0.369220463,-0.079138678,-0.179238967,Little or no detectable change
|
|||
|
OH-2.1,"OH-2.1. Children with untreated dental decay in their primary teeth (percent, ages 3-5 years)",OH,Sex,2,23.123,1.722710926,Female,24.53,2.40864834,1.060848506,0.130756682,11.079825572,1.522382597,Female,12.552414835,1.714032812,1.13290726,0.21945977,0.072058755,0.282074319,Little or no detectable change
|
|||
|
OH-2.2,"OH-2.2. Children with untreated dental decay in their primary or permanent teeth (percent, ages 6-9 years)",OH,Sex,2,27.439,2.688084954,Female,30.076,2.125983066,1.096104085,0.132415379,15.00751199,1.708989918,Female,15.889995763,1.336427522,1.058802803,0.14989187,-0.037301,-0.186503136,Little or no detectable change
|
|||
|
OH-2.3,"OH-2.3. Adolescents with untreated dental decay in their permanent teeth (percent, ages 13-15)",OH,Sex,2,16.283,1.410560792,Male,17.752,1.80212966,1.090216791,0.145494237,14.021532314,1.783564747,Female,14.086705238,1.491141523,1.00464806,0.166254805,-0.085568731,-0.387314804,Little or no detectable change
|
|||
|
OH-3.1,"OH-3.1. Adults with untreated dental decay (percent, ages 35-44)",OH,Sex,2,25.398,1.600840782,Female,30.076,2.068085918,1.184187731,0.110460138,26.651348029,1.762381058,Female,30.032888431,2.796403556,1.126880652,0.128694235,-0.057307,-0.337898524,Little or no detectable change
|
|||
|
OH-3.1,"OH-3.1. Adults with untreated dental decay (percent, ages 35-44)",OH,Family income,5,8.068,1.864467313,Above 500% of the poverty threshold,35.606,3.371083444,4.413237481,1.102146305,11.355789017,2.556919983,Above 500% of the poverty threshold,32.762337623,3.484862169,2.885078049,0.718454917,-1.528159432,-1.161534684,Little or no detectable change
|
|||
|
OH-3.1,"OH-3.1. Adults with untreated dental decay (percent, ages 35-44)",OH,Disability status,2,26.063,1.584749379,People without activity limitations,37.013,2.903608865,1.420135825,0.140954037,26.418751237,1.973100954,People without activity limitations,40.843467908,4.201825,1.546002971,0.19653995,0.125867147,0.52041443,Little or no detectable change
|
|||
|
OH-3.2,"OH-3.2. Adults with untreated coronal caries (percent, ages 65-74)",OH,Sex,2,15.642,1.820690172,Female,18.758,1.598524154,1.199207262,0.172995934,12.637722734,1.975935808,Female,19.550955004,2.788438102,1.547031488,0.327399734,0.347824225,0.939317271,Little or no detectable change
|
|||
|
OH-3.2,"OH-3.2. Adults with untreated coronal caries (percent, ages 65-74)",OH,Disability status,2,15.836,1.573298735,People without activity limitations,19.759,2.494204382,1.247726699,0.200432708,13.07430123,1.623310911,People without activity limitations,22.52069716,3.971263852,1.722516314,0.371485102,0.474789615,1.124808258,Little or no detectable change
|
|||
|
OH-3.3,"OH-3.3. Adults with untreated root surface caries (percent, ages 75 and over)",OH,Sex,2,34.068,2.450865001,Female,43.307,2.642477246,1.271192908,0.119914213,28.133369816,3.204272327,Female,30.499552346,5.306678942,1.084105905,0.225445749,-0.187087003,-0.732660012,Little or no detectable change
|
|||
|
OH-3.3,"OH-3.3. Adults with untreated root surface caries (percent, ages 75 and over)",OH,Disability status,2,36.184,2.159565084,People with activity limitations,39.451,3.11048551,1.090288525,0.107814404,25.002679526,3.019881164,People without activity limitations,34.940939441,4.590761269,1.397487793,0.249406464,0.307199268,1.130605276,Little or no detectable change
|
|||
|
OH-4.1,"OH-4.1. Adults with permanent tooth loss due to dental caries or periodontal disease (percent, ages 45-64)",OH,Sex,2,75.34,1.335720541,Male,77.304,1.308505934,1.02606849,0.025151,71.459869935,1.88356663,Male,71.939260094,1.704606558,1.006708523,0.035681,-0.01936,-0.44348248,Little or no detectable change
|
|||
|
OH-4.1,"OH-4.1. Adults with permanent tooth loss due to dental caries or periodontal disease (percent, ages 45-64)",OH,Family income,5,62.225,1.902909533,Above 500% of the poverty threshold,84.9325,2.415390704,1.364925673,0.0570006,53.895071185,2.751726665,Above 500% of the poverty threshold,79.568972943,3.217604933,1.476368269,0.096157433,0.111442596,0.996959481,Little or no detectable change
|
|||
|
OH-4.1,"OH-4.1. Adults with permanent tooth loss due to dental caries or periodontal disease (percent, ages 45-64)",OH,Disability status,2,73.945,1.249184692,People without activity limitations,83.497,1.554284343,1.129177091,0.0283848,68.352973825,1.703477368,People without activity limitations,81.828007638,2.344177747,1.197138955,0.0454563,0.067961864,1.268162475,Little or no detectable change
|
|||
|
OH-4.2,"OH-4.2. Adults with complete tooth loss (percent, ages 65-74)",OH,Sex,2,22.129,2.026541581,Male,25.632,1.923910899,1.158299065,0.137151976,10.773679098,1.51923142,Female,14.408810326,1.979377657,1.33740853,0.263289522,0.179109466,0.603325435,Little or no detectable change
|
|||
|
OH-4.2,"OH-4.2. Adults with complete tooth loss (percent, ages 65-74)",OH,Disability status,2,22.299,1.645616989,People without activity limitations,27.351,2.446910319,1.226557245,0.142247825,8.961289226,1.772519965,People without activity limitations,20.128386927,2.094124716,2.246148564,0.501991876,1.019591319,1.954150052,Little or no detectable change
|
|||
|
OH-5,"OH-5. Adults with moderate or severe periodontitis (percent, ages 45-74)",OH,Sex,2,38.361041838,2.863485779,Female,56.851306492,2.342743332,1.482006321,0.126363067,31.717907059,2.88255555,Female,43.426025028,2.591743706,1.369132741,0.14885991,-0.11287358,-0.578064856,Little or no detectable change
|
|||
|
OH-5,"OH-5. Adults with moderate or severe periodontitis (percent, ages 45-74)",OH,Family income,5,31.612323084,2.653242017,Above 500% of the poverty threshold,56.326480137,5.301188608,1.781788703,0.224689534,17.629016036,1.386362168,Above 500% of the poverty threshold,48.249663698,4.755364809,2.736945931,0.345093724,0.955157228,2.319497297,Increase
|
|||
|
OH-5,"OH-5. Adults with moderate or severe periodontitis (percent, ages 45-74)",OH,Disability status,2,45.959620818,2.439484418,People without activity limitations,55.220979748,4.096307488,1.201510778,0.109595165,34.819536784,2.438794801,People without activity limitations,46.612418047,3.308425462,1.33868576,0.133490016,0.137174982,0.79422454,Little or no detectable change
|
|||
|
OH-6,OH-6. Oral and pharyngeal cancers detected at the earliest stage (percent),OH,Sex,2,41.871455577,,Female,28.68835934,,1.459527716,,40.937210022,,Female,25.006899512,,1.637036611,,0.177508895,,Increase
|
|||
|
OH-6,OH-6. Oral and pharyngeal cancers detected at the earliest stage (percent),OH,Race and ethnicity,5,34.085605823,,"White, not Hispanic or Latino",25.662186601,,1.328242459,,31.618102914,,Asian or Pacific Islander,26.043123071,,1.214067254,,-0.114175204,,Decrease
|
|||
|
OH-7,"OH-7. Children, adolescents, and adults who visited the dentist in the past year (age-adjusted percent, ages 2 years and over)",OH,Sex,2,48.289062924,0.613881245,Female,40.67528302,0.640811473,1.187184436,0.0240331,46.268853661,0.703112634,Female,40.189864038,0.662316492,1.151256785,0.0258073,-0.035928,-1.018796413,Little or no detectable change
|
|||
|
OH-7,"OH-7. Children, adolescents, and adults who visited the dentist in the past year (age-adjusted percent, ages 2 years and over)",OH,Race and ethnicity,6,50.672584911,0.707335377,"White only, not Hispanic or Latino",34.182349836,2.844803135,1.482419587,0.125096723,49.003303737,0.758515887,"White only, not Hispanic or Latino",34.734785081,2.392487301,1.410784711,0.099596531,-0.071634875,-0.447992284,Little or no detectable change
|
|||
|
OH-7,"OH-7. Children, adolescents, and adults who visited the dentist in the past year (age-adjusted percent, ages 2 years and over)",OH,Family income,4,58.097495025,0.901292549,Above 400% of the poverty threshold,33.4539641,1.09167028,1.736640084,0.062748139,55.789659927,0.835112296,Above 400% of the poverty threshold,32.935217628,1.168148323,1.693921096,0.065211621,-0.042719,-0.472043557,Little or no detectable change
|
|||
|
OH-7,"OH-7. Children, adolescents, and adults who visited the dentist in the past year (age-adjusted percent, ages 2 years and over)",OH,Disability status,2,46.049737068,0.579987074,People without activity limitations,37.522211141,1.823210382,1.227266082,0.0616038,44.774128901,0.646199456,People without activity limitations,37.529516845,1.797693889,1.193037712,0.0596851,-0.034228,-0.399048821,Little or no detectable change
|
|||
|
OH-7,"OH-7. Children, adolescents, and adults who visited the dentist in the past year (age-adjusted percent, ages 2 years and over)",OH,Geographic location,2,45.350143997,0.60085662,Metropolitan,41.811106879,1.532978021,1.084643469,0.0422847,43.131162,0.669862,Metropolitan,38.108777,1.890383,1.131790768,0.0588298,0.0471473,0.650760523,Little or no detectable change
|
|||
|
OH-8,"OH-8. Low-income children and adolescents receiving preventive dental services in the past year (percent, ages 2-18 years, at or below 200% of poverty level)",OH,Sex,2,30.760944198,1.678031035,Female,29.604103023,1.525276016,1.039077055,0.077967776,40.126033319,1.735156466,Female,37.319015738,1.490046464,1.075216817,0.063283747,0.0361398,0.359892693,Little or no detectable change
|
|||
|
OH-8,"OH-8. Low-income children and adolescents receiving preventive dental services in the past year (percent, ages 2-18 years, at or below 200% of poverty level)",OH,Race and ethnicity,5,33.10600263,2.381000622,"White only, not Hispanic or Latino",29.546631733,5.961870709,1.120466215,0.240018049,40.992830011,1.717013075,Hispanic or Latino,38.227306007,4.739996349,1.072344203,0.140346799,-0.048122,-0.173076255,Little or no detectable change
|
|||
|
OH-8,"OH-8. Low-income children and adolescents receiving preventive dental services in the past year (percent, ages 2-18 years, at or below 200% of poverty level)",OH,Disability status,2,30.202954464,1.344294995,People without activity limitations,28.681581666,6.803001438,1.053043546,0.254131515,38.756743407,1.261778261,People without activity limitations,35.849422517,6.516751866,1.081098123,0.199650255,0.0280546,0.08680884,Little or no detectable change
|
|||
|
OH-8,"OH-8. Low-income children and adolescents receiving preventive dental services in the past year (percent, ages 2-18 years, at or below 200% of poverty level)",OH,Geographic location,2,31.115050524,3.276062032,Nonmetropolitan,29.994380616,1.448797662,1.037362662,0.120167684,35.149225,1.384722,Metropolitan,32.251525,3.438255,1.089846914,0.123865164,0.0524843,0.304120627,Little or no detectable change
|
|||
|
OH-12.2,"OH-12.2. Children receiving dental sealants on permanent first molar teeth (percent, ages 6-9 years)",OH,Sex,2,26.553,2.195693692,Female,24.423,2.351575167,1.087212873,0.137988911,39.589569458,2.380128833,Female,36.854643939,2.687310109,1.074208437,0.101518302,-0.013004,-0.07591199,Little or no detectable change
|
|||
|
OH-12.2,"OH-12.2. Children receiving dental sealants on permanent first molar teeth (percent, ages 6-9 years)",OH,Family income,5,43.901,6.694024645,At 400%-499% of the poverty threshold,25.238,4.231698723,1.739480149,0.394229125,41.250281633,3.259047291,At 200%-399% of the poverty threshold,37.414198297,5.386614768,1.102530149,0.181063943,-0.63695,-1.46823192,Little or no detectable change
|
|||
|
OH-12.3,"OH-12.3. Adolescents receiving dental sealants on their first and second permanent molars (percent, ages 13-15)",OH,Sex,2,20.48,2.158265354,Female,19.419,2.197335455,1.054637211,0.163075704,42.784787065,3.437344487,Female,42.06049551,3.329415956,1.017220234,0.114727502,-0.037417,-0.18765792,Little or no detectable change
|
|||
|
OH-12.3,"OH-12.3. Adolescents receiving dental sealants on their first and second permanent molars (percent, ages 13-15)",OH,Family income,5,32.269,4.614604738,Above 500% of the poverty threshold,18.838,3.505074843,1.712973776,0.401983731,51.18313864,10.143429513,At 400%-499% of the poverty threshold,42.216959467,6.034080726,1.212383348,0.296238675,-0.500590429,-1.002488408,Little or no detectable change
|
|||
|
OH-14.1,"OH-14.1. Adults who received information on reducing tobacco use from a dentist (age-adjusted percent, ages 18 and over)",OH,Sex,2,11.6380897,1.285936,Male,9.617942,1.1001064,1.210039497,0.192437361,16.315810495,2.055670755,Male,7.618858026,0.720843176,2.141503417,0.337419327,0.93146392,2.397974328,Increase
|
|||
|
OH-14.1,"OH-14.1. Adults who received information on reducing tobacco use from a dentist (age-adjusted percent, ages 18 and over)",OH,Family income,4,19.0888023,2.5733389,Below the poverty threshold (<100%),11.085559667,2.215883067,1.72195206,0.415162209,22.00332996,2.414394568,Below the poverty threshold (<100%),11.197918415,1.681706981,1.964948229,0.365472417,0.242996169,0.439327687,Little or no detectable change
|
|||
|
OH-14.1,"OH-14.1. Adults who received information on reducing tobacco use from a dentist (age-adjusted percent, ages 18 and over)",OH,Disability status,2,20.6765153,2.9234555,People with activity limitations,9.2829561,0.7491588,2.227363253,0.362616411,20.496415064,2.378869983,People with activity limitations,10.369876683,0.973369403,1.976534118,0.295035133,-0.250829135,-0.536557287,Little or no detectable change
|
|||
|
OH-14.2,"OH-14.2. Adults who received an oral cancer screening from a dentist (age-adjusted percent, ages 18 and over)",OH,Sex,2,23.7043569,1.977235,Female,22.6751873,2.308332,1.04538748,0.137582023,27.262718689,1.690355071,Male,25.238822116,1.53021041,1.080189819,0.093673114,0.0348023,0.209093912,Little or no detectable change
|
|||
|
OH-14.2,"OH-14.2. Adults who received an oral cancer screening from a dentist (age-adjusted percent, ages 18 and over)",OH,Family income,5,33.0882142,3.6002306,At 400%-499% of the poverty threshold,20.60070055,3.556516999,1.606169369,0.32776775,28.869493803,2.470549848,Above 500% of the poverty threshold,24.520307702,3.459770736,1.17737078,0.194291262,-0.428798589,-1.125378896,Little or no detectable change
|
|||
|
OH-14.2,"OH-14.2. Adults who received an oral cancer screening from a dentist (age-adjusted percent, ages 18 and over)",OH,Disability status,2,24.5979638,1.8491642,People without activity limitations,21.6565175,3.3749616,1.135822682,0.196525566,27.572460521,3.450299115,People with activity limitations,26.972613504,1.37147907,1.022239114,0.138075598,-0.113583569,-0.472907168,Little or no detectable change
|
|||
|
OH-14.3,"OH-14.3. Adults who were tested or referred for glycemic control by a dentist (age-adjusted percent, ages 18 and over)",OH,Sex,2,6.2346258,0.6766818,Male,5.1959514,0.780131,1.199900715,0.22229833,7.771142723,1.157542872,Male,5.067435396,0.769257736,1.533545495,0.326150907,0.33364478,0.845304549,Little or no detectable change
|
|||
|
OH-14.3,"OH-14.3. Adults who were tested or referred for glycemic control by a dentist (age-adjusted percent, ages 18 and over)",OH,Family income,4,10.0359365,2.0456778,Below the poverty threshold (<100%),5.2247771,1.41688031,1.920835341,0.651641883,9.060211897,1.586554231,Below the poverty threshold (<100%),6.364530109,1.417776909,1.423547653,0.403362462,-0.497287688,-0.648878676,Little or no detectable change
|
|||
|
OH-14.3,"OH-14.3. Adults who were tested or referred for glycemic control by a dentist (age-adjusted percent, ages 18 and over)",OH,Disability status,2,10.4197277,1.5566254,People with activity limitations,5.1668432,0.6646114,2.016652586,0.397560467,7.980611987,1.469841117,People with activity limitations,6.128494418,0.644128028,1.302214123,0.276142444,-0.714438462,-1.475945651,Little or no detectable change
|
|||
|
OSH-1.1,"OSH-1.1. Work-related injury deaths—All industries (per 100,000 full-time equivalent workers, ages 16 and over)",OSH,Sex,2,0.72279508,0.00254997,Female,6.476453829,0.0179013,8.960290418,0.040158,0.608662353,0.00204447,Female,5.770870898,0.0156479,9.481235149,0.0409289,0.520944731,9.085236506,Increase
|
|||
|
OSH-1.1,"OSH-1.1. Work-related injury deaths—All industries (per 100,000 full-time equivalent workers, ages 16 and over)",OSH,Race and ethnicity,4,2.472779656,0.0302052,"Asian or Pacific Islander, not Hispanic or Latino",4.295715359,0.0342099,1.737201027,0.0253315,1.813965552,0.0195116,"Asian or Pacific Islander, not Hispanic or Latino",3.511168716,0.0391114,1.935631419,0.0299729,0.198430392,5.056378871,Increase
|
|||
|
OSH-1.2,"OSH-1.2. Work-related injury deaths—Mining (per 100,000 full-time equivalent workers, ages 16 and over)",OSH,Sex,2,1.00541921,0.104623017,Female,16.997848779,0.584799118,16.906230374,1.852906804,1.027949959,0.108160065,Female,13.910606962,0.507811804,13.532377559,1.507127829,-3.373852815,-1.41256944,Little or no detectable change
|
|||
|
OSH-1.2,"OSH-1.2. Work-related injury deaths—Mining (per 100,000 full-time equivalent workers, ages 16 and over)",OSH,Race and ethnicity,3,19.259356481,0.753717836,"White, not Hispanic or Latino",30.660071011,6.175642497,1.591957189,0.326653059,10.747834311,1.635550053,"Black or African American, not Hispanic or Latino",15.534331176,1.630104934,1.445345241,0.267168744,-0.146611948,-0.347424254,Little or no detectable change
|
|||
|
OSH-1.3,"OSH-1.3. Work-related injury deaths—Construction (per 100,000 full-time equivalent workers, ages 16 and over)",OSH,Sex,2,1.237515276,0.041147,Female,11.275822046,0.108924854,9.111662917,0.315486762,2.200597173,0.077563855,Female,10.013692768,0.101551945,4.550443349,0.16689511,-4.561219568,-12.779690679,Decrease
|
|||
|
OSH-1.3,"OSH-1.3. Work-related injury deaths—Construction (per 100,000 full-time equivalent workers, ages 16 and over)",OSH,Race and ethnicity,3,9.855577974,0.112412624,"White, not Hispanic or Latino",13.522324731,0.717157248,1.372047866,0.074430451,9.144850869,0.113676413,"White, not Hispanic or Latino",9.820223888,0.484074687,1.073852819,0.0545913,-0.298195047,-3.230561776,Decrease
|
|||
|
OSH-1.4,"OSH-1.4. Work-related injury deaths—Transportation and warehousing (per 100,000 full-time equivalent workers, ages 16 and over)",OSH,Sex,2,4.007056146,0.126615472,Female,19.790343797,0.304426783,4.938873595,0.17356932,2.568846482,0.062716143,Female,13.995692318,0.176342204,5.448240063,0.149683218,0.509366468,2.222393556,Increase
|
|||
|
OSH-1.4,"OSH-1.4. Work-related injury deaths—Transportation and warehousing (per 100,000 full-time equivalent workers, ages 16 and over)",OSH,Race and ethnicity,3,13.852317432,0.497964609,Hispanic or Latino,17.050723854,0.653041415,1.230893238,0.064655889,9.45422131,0.254030144,Hispanic or Latino,11.759411239,0.347231332,1.243826525,0.0496577,0.0129333,0.158642681,Little or no detectable change
|
|||
|
OSH-1.5,"OSH-1.5. Work-related injury deaths—Agriculture, forestry, fishing, and hunting (per 100,000 full-time equivalent workers, ages 16 and over)",OSH,Sex,2,7.33267,0.38235,Female,30.99389,0.75327,4.226821881,0.243165541,5.226966501,0.238406748,Female,27.168041409,0.619454344,5.197668935,0.265042109,0.970847055,2.699122619,Increase
|
|||
|
OSH-1.5,"OSH-1.5. Work-related injury deaths—Agriculture, forestry, fishing, and hunting (per 100,000 full-time equivalent workers, ages 16 and over)",OSH,Race and ethnicity,3,16.25943827,0.79561081,Hispanic or Latino,37.203902679,6.446707971,2.288141943,0.411995631,11.365196227,0.452439112,Hispanic or Latino,25.83674858,3.22145624,2.273321821,0.297545885,-0.01482,-0.029162,Little or no detectable change
|
|||
|
OSH-2.2,OSH-2.2. Emergency department visits for work-related injuries (per 100 full-time equivalent workers),OSH,Sex,2,1.81,0.22,Female,2.79,0.37,1.541436464,0.277290653,1.381427964,0.113045051,Female,1.965744755,0.162859358,1.422980283,0.165704722,-0.118456181,-0.366703731,Little or no detectable change
|
|||
|
OSH-2.3,"OSH-2.3. Emergency department visits for work-related illness and injuries (per 100 full-time equivalent workers, ages 15-19)",OSH,Sex,2,3.94,0.54,Female,6.84,1.17,1.736040609,0.380518976,2.701525925,0.246038376,Female,3.915500382,0.359461473,1.449366207,0.187425838,-0.286674402,-0.675842362,Little or no detectable change
|
|||
|
OSH-3,"OSH-3. Overexertion or repetitive motion injuries (per 10,000 full-time workers)",OSH,Sex,2,23.4,,Female,27.6,,1.179487179,,20.2,,Female,24.7,,1.222772277,,0.0432851,,Little or no detectable change
|
|||
|
OSH-6,"OSH-6. Emergency department visits for work-related assaults (per 10,000 full-time equivalent workers, ages 15 and over)",OSH,Sex,2,7.7,0.9,Female,9.4,1.6,1.220779221,0.252066666,9.691333474,1.279844029,Female,10.172071735,1.738807558,1.049604965,0.226725097,-0.171174255,-0.504892956,Little or no detectable change
|
|||
|
OSH-9,OSH-9. Proportion of employees who have access to workplace programs that prevent or reduce employee stress (percent),OSH,Sex,2,36.66521,0.0200614,Female,34.60311,0.0210645,1.059592909,0.000867279,38.25225,0.0203743,Male,37.39232,0.0198858,1.022997503,0.000769986,-0.036595,-31.554193615,Decrease
|
|||
|
OSH-9,OSH-9. Proportion of employees who have access to workplace programs that prevent or reduce employee stress (percent),OSH,Race and ethnicity,3,37.44921,0.0174873,"White, not Hispanic or Latino",31.39389,0.0564315,1.192882118,0.00221541,45.03044,0.0371867,"Black or African American, not Hispanic or Latino",33.12889,0.0365169,1.359249887,0.0018721,0.166367769,57.358665156,Increase
|
|||
|
PA-1,"PA-1. Adults engaging in no leisure-time physical activity (age-adjusted percent, ages 18 and over)",PA,Sex,2,33.931221723,0.777682456,Male,38.176985049,0.650999398,1.125128513,0.0321415,22.996281487,0.5520659,Male,27.699247854,0.623350807,1.204509863,0.0396349,0.079381349,1.555599522,Little or no detectable change
|
|||
|
PA-1,"PA-1. Adults engaging in no leisure-time physical activity (age-adjusted percent, ages 18 and over)",PA,Race and ethnicity,6,31.944175954,0.706490988,"White only, not Hispanic or Latino",41.959431573,3.081479164,1.313523681,0.100743881,21.257454642,1.509912277,Asian only,27.931153512,2.446764687,1.313946283,0.148184727,0.000422602,0.00235844,Little or no detectable change
|
|||
|
PA-1,"PA-1. Adults engaging in no leisure-time physical activity (age-adjusted percent, ages 18 and over)",PA,Educational attainment,6,17.179079668,1.072076062,Advanced degree,38.702421039,1.243910881,2.252880933,0.158143608,10.85300932,0.659175247,Advanced degree,30.506695817,1.180501136,2.810897413,0.202430571,0.558016479,2.17228131,Increase
|
|||
|
PA-1,"PA-1. Adults engaging in no leisure-time physical activity (age-adjusted percent, ages 18 and over)",PA,Family income,5,20.278018245,0.949529956,At or above 600% of the poverty threshold,42.612524918,1.279906564,2.101414665,0.116903487,11.780285021,0.566883078,At or above 600% of the poverty threshold,31.599202102,1.14690201,2.682380099,0.161679018,0.580965434,2.91187771,Increase
|
|||
|
PA-1,"PA-1. Adults engaging in no leisure-time physical activity (age-adjusted percent, ages 18 and over)",PA,Disability status,2,28.636784764,0.623694429,People without disabilities,53.108556194,1.683286358,1.854557229,0.071320488,22.133092408,0.599208196,People without disabilities,40.312736746,1.631597659,1.821378414,0.088689146,-0.033179,-0.291531936,Little or no detectable change
|
|||
|
PA-1,"PA-1. Adults engaging in no leisure-time physical activity (age-adjusted percent, ages 18 and over)",PA,Geographic location,2,34.973674963,0.630407813,Metropolitan,42.509594706,2.002998835,1.21547406,0.0613192,24.463516656,0.47496312,Metropolitan,31.98473546,1.866848778,1.307446346,0.08042272,0.091972286,0.909420033,Little or no detectable change
|
|||
|
PA-2.1,"PA-2.1. Adults engaging in regular physical activity—Light or moderate for 150 minutes or more per week or vigorous for 75 minutes or more per week (age-adjusted percent, ages 18 and over)",PA,Sex,2,47.417242953,0.746731785,Male,39.937521352,0.618564591,1.187285574,0.0262251,58.141486864,0.648774545,Male,50.604807031,0.613631965,1.148932093,0.0189331,-0.038353,-1.185753539,Little or no detectable change
|
|||
|
PA-2.1,"PA-2.1. Adults engaging in regular physical activity—Light or moderate for 150 minutes or more per week or vigorous for 75 minutes or more per week (age-adjusted percent, ages 18 and over)",PA,Race and ethnicity,6,47.598741234,0.667311371,"White only, not Hispanic or Latino",37.050909591,2.592793492,1.284684823,0.091687598,57.585120585,0.581658403,"White only, not Hispanic or Latino",51.70212074,2.609134995,1.113786432,0.0573218,-0.170898391,-1.580469256,Little or no detectable change
|
|||
|
PA-2.1,"PA-2.1. Adults engaging in regular physical activity—Light or moderate for 150 minutes or more per week or vigorous for 75 minutes or more per week (age-adjusted percent, ages 18 and over)",PA,Educational attainment,6,61.354489948,1.365451634,Advanced degree,40.354045433,1.270931608,1.520404938,0.0586332,69.482347199,0.988164097,Advanced degree,48.789407954,1.236266244,1.424127697,0.041381,-0.096277241,-1.341559637,Little or no detectable change
|
|||
|
PA-2.1,"PA-2.1. Adults engaging in regular physical activity—Light or moderate for 150 minutes or more per week or vigorous for 75 minutes or more per week (age-adjusted percent, ages 18 and over)",PA,Family income,5,59.59884613,1.123240749,At or above 600% of the poverty threshold,37.679530971,1.257229568,1.581730043,0.0606138,68.876653923,0.835007841,At or above 600% of the poverty threshold,47.818939934,1.173834329,1.440363463,0.0394342,-0.14136658,-1.954942489,Little or no detectable change
|
|||
|
PA-2.1,"PA-2.1. Adults engaging in regular physical activity—Light or moderate for 150 minutes or more per week or vigorous for 75 minutes or more per week (age-adjusted percent, ages 18 and over)",PA,Disability status,2,50.868057372,0.628495993,People without disabilities,28.200917726,1.578652118,1.803773121,0.103403199,58.45955917,0.667884185,People without disabilities,36.458065775,1.54753361,1.603473962,0.070484813,-0.200299159,-1.60058471,Little or no detectable change
|
|||
|
PA-2.1,"PA-2.1. Adults engaging in regular physical activity—Light or moderate for 150 minutes or more per week or vigorous for 75 minutes or more per week (age-adjusted percent, ages 18 and over)",PA,Geographic location,2,44.61865716,0.592061348,Metropolitan,37.188478619,1.717224863,1.199797863,0.0576443,55.230167512,0.504646097,Metropolitan,47.47815673,1.641696113,1.163275311,0.0416043,-0.036523,-0.513751158,Little or no detectable change
|
|||
|
PA-2.2,"PA-2.2. Adults engaging in regular physical activity—Light or moderate for 300 minutes or more per week or vigorous for 150 minutes or more per week (age-adjusted percent, ages 18 and over)",PA,Sex,2,33.004866033,0.646250268,Male,24.185122078,0.541776112,1.364676429,0.0406025,42.016259815,0.640896267,Male,33.018514066,0.585426707,1.272506077,0.0297623,-0.092170352,-1.830870181,Little or no detectable change
|
|||
|
PA-2.2,"PA-2.2. Adults engaging in regular physical activity—Light or moderate for 300 minutes or more per week or vigorous for 150 minutes or more per week (age-adjusted percent, ages 18 and over)",PA,Race and ethnicity,6,31.540469142,0.586680666,"White only, not Hispanic or Latino",22.596810844,2.38384159,1.395792944,0.14952001,39.746439785,0.567645868,"White only, not Hispanic or Latino",35.578115096,2.557005613,1.117159796,0.08186037,-0.278633149,-1.634574626,Little or no detectable change
|
|||
|
PA-2.2,"PA-2.2. Adults engaging in regular physical activity—Light or moderate for 300 minutes or more per week or vigorous for 150 minutes or more per week (age-adjusted percent, ages 18 and over)",PA,Educational attainment,6,41.203667374,1.406685531,Advanced degree,25.804154321,1.124891216,1.596784257,0.088415038,47.905785332,1.069700278,Advanced degree,32.987000759,1.150716666,1.452262535,0.0601504,-0.144521722,-1.35147969,Little or no detectable change
|
|||
|
PA-2.2,"PA-2.2. Adults engaging in regular physical activity—Light or moderate for 300 minutes or more per week or vigorous for 150 minutes or more per week (age-adjusted percent, ages 18 and over)",PA,Family income,5,38.748918995,1.025251037,At or above 600% of the poverty threshold,24.626278295,1.123110752,1.573478482,0.082962678,48.662619631,0.926204786,At or above 600% of the poverty threshold,32.614411056,1.080475967,1.492058819,0.0570072,-0.081419664,-0.808850671,Little or no detectable change
|
|||
|
PA-2.2,"PA-2.2. Adults engaging in regular physical activity—Light or moderate for 300 minutes or more per week or vigorous for 150 minutes or more per week (age-adjusted percent, ages 18 and over)",PA,Disability status,2,34.32558603,0.593315131,People without disabilities,16.95757651,1.30974909,2.024203518,0.160210219,40.661409569,0.656126212,People without disabilities,24.482224375,1.435668921,1.660854379,0.101014644,-0.363349139,-1.918451145,Little or no detectable change
|
|||
|
PA-2.2,"PA-2.2. Adults engaging in regular physical activity—Light or moderate for 300 minutes or more per week or vigorous for 150 minutes or more per week (age-adjusted percent, ages 18 and over)",PA,Geographic location,2,29.139805748,0.516327945,Metropolitan,24.442038939,1.339035723,1.192200283,0.06864489,38.01268676,0.498867106,Metropolitan,33.156962421,1.396567256,1.146446598,0.0505779,-0.045754,-0.536601242,Little or no detectable change
|
|||
|
PA-2.3,"PA-2.3. Adults performing muscle-strengthening activities 2 days or more per week (age-adjusted percent, ages 18 and over)",PA,Sex,2,25.683251783,0.572135068,Male,18.31927273,0.474326115,1.40197988,0.0478864,31.105104784,0.573814116,Male,24.281522236,0.49829206,1.281019554,0.0353488,-0.120960326,-2.032258937,Decrease
|
|||
|
PA-2.3,"PA-2.3. Adults performing muscle-strengthening activities 2 days or more per week (age-adjusted percent, ages 18 and over)",PA,Race and ethnicity,6,24.221804163,0.512149501,"White only, not Hispanic or Latino",17.561157519,2.042024697,1.379282894,0.163014024,29.26004179,0.509475133,"White only, not Hispanic or Latino",25.734847586,2.360797048,1.136981352,0.106163646,-0.242301542,-1.245535151,Little or no detectable change
|
|||
|
PA-2.3,"PA-2.3. Adults performing muscle-strengthening activities 2 days or more per week (age-adjusted percent, ages 18 and over)",PA,Educational attainment,6,35.26096084,1.300194725,Advanced degree,19.508220907,0.99547879,1.80749239,0.113794253,38.57040714,1.066891396,Advanced degree,23.119993761,0.987100512,1.668270655,0.084868245,-0.139221735,-0.980732684,Little or no detectable change
|
|||
|
PA-2.3,"PA-2.3. Adults performing muscle-strengthening activities 2 days or more per week (age-adjusted percent, ages 18 and over)",PA,Family income,5,33.837998483,1.081387627,At or above 600% of the poverty threshold,17.962984774,0.948674279,1.883762577,0.116283015,38.115493957,0.912747372,At or above 600% of the poverty threshold,23.360561592,0.998043284,1.631617194,0.079911684,-0.252145383,-1.787069252,Little or no detectable change
|
|||
|
PA-2.3,"PA-2.3. Adults performing muscle-strengthening activities 2 days or more per week (age-adjusted percent, ages 18 and over)",PA,Disability status,2,25.950661712,0.536642663,People without disabilities,13.837410863,1.164716827,1.875398654,0.162549482,30.409941059,0.58925423,People without disabilities,17.973741433,1.329434376,1.691909343,0.129365745,-0.183489311,-0.883244557,Little or no detectable change
|
|||
|
PA-2.3,"PA-2.3. Adults performing muscle-strengthening activities 2 days or more per week (age-adjusted percent, ages 18 and over)",PA,Geographic location,2,23.056404364,0.435471302,Metropolitan,15.993314178,0.960773286,1.441627677,0.090782997,28.864213948,0.425150761,Metropolitan,18.864747066,1.083742648,1.53006101,0.090742166,0.088433333,0.688960222,Little or no detectable change
|
|||
|
PA-2.4,"PA-2.4. Adults meeting aerobic physical activity and muscle-strengthening objectives (age-adjusted percent, ages 18 and over)",PA,Sex,2,21.698658366,0.553274563,Male,14.932985301,0.447825742,1.453069023,0.0571981,27.416687644,0.553709721,Male,20.798051629,0.478562191,1.318233464,0.040359,-0.134835559,-1.926129726,Little or no detectable change
|
|||
|
PA-2.4,"PA-2.4. Adults meeting aerobic physical activity and muscle-strengthening objectives (age-adjusted percent, ages 18 and over)",PA,Race and ethnicity,6,20.665636037,0.497799225,"White only, not Hispanic or Latino",14.020216302,1.85647192,1.473988389,0.198379852,25.730717523,0.471650295,"White only, not Hispanic or Latino",21.607607505,2.132382223,1.190817517,0.119527777,-0.283170871,-1.222639162,Little or no detectable change
|
|||
|
PA-2.4,"PA-2.4. Adults meeting aerobic physical activity and muscle-strengthening objectives (age-adjusted percent, ages 18 and over)",PA,Educational attainment,6,30.340881489,1.265926786,Advanced degree,15.743394159,0.921663429,1.927213483,0.138546612,34.985132166,1.022191046,Advanced degree,19.641838079,0.941918161,1.781153679,0.100019919,-0.146059803,-0.854762818,Little or no detectable change
|
|||
|
PA-2.4,"PA-2.4. Adults meeting aerobic physical activity and muscle-strengthening objectives (age-adjusted percent, ages 18 and over)",PA,Family income,5,29.674947878,1.056480113,At or above 600% of the poverty threshold,14.441366096,0.870280972,2.054857392,0.143827124,35.116355208,0.901766989,At or above 600% of the poverty threshold,19.562325608,0.914662873,1.795101253,0.09575797,-0.259756139,-1.503319336,Little or no detectable change
|
|||
|
PA-2.4,"PA-2.4. Adults meeting aerobic physical activity and muscle-strengthening objectives (age-adjusted percent, ages 18 and over)",PA,Disability status,2,22.602490307,0.506051703,People without disabilities,9.421565122,0.998538021,2.399016513,0.259869515,27.106988794,0.582475425,People without disabilities,13.036301249,1.094550123,2.079346609,0.180212345,-0.319669904,-1.010841258,Little or no detectable change
|
|||
|
PA-2.4,"PA-2.4. Adults meeting aerobic physical activity and muscle-strengthening objectives (age-adjusted percent, ages 18 and over)",PA,Geographic location,2,19.304641869,0.418087386,Metropolitan,12.368739036,0.934897071,1.560760706,0.122717936,25.169195951,0.403754485,Metropolitan,15.892736011,0.965448187,1.583691816,0.09950355,0.0229311,0.145143351,Little or no detectable change
|
|||
|
PA-3.1,"PA-3.1. Adolescents meeting federal physical activity guidelines (percent, grades 9-12)",PA,Sex,2,38.333135322,0.994038333,Male,18.492283303,0.85177077,2.072926025,0.10957234,35.332412846,0.9782105,Male,17.456700885,1.01942765,2.024002879,0.130807254,-0.048923,-0.286710624,Little or no detectable change
|
|||
|
PA-3.1,"PA-3.1. Adolescents meeting federal physical activity guidelines (percent, grades 9-12)",PA,Race and ethnicity,7,32.177645783,1.977361241,American Indian or Alaska Native only,27.35953046,2.296877843,1.176103728,0.122360886,28.883558245,2.525682947,American Indian or Alaska Native only,24.705305486,2.454433268,1.169123703,0.15473341,-0.00698,-0.035383,Little or no detectable change
|
|||
|
PA-3.2,"PA-3.2. Adolescents meeting federal guidelines for muscle-strengthening activity (percent, grades 9-12)",PA,Sex,2,66.668261549,0.927386491,Male,43.781881918,1.233305424,1.522736315,0.0478394,62.070082007,1.375405543,Male,40.776279674,2.231852007,1.522210523,0.089885681,-0.00052579,-0.0051638,Little or no detectable change
|
|||
|
PA-3.2,"PA-3.2. Adolescents meeting federal guidelines for muscle-strengthening activity (percent, grades 9-12)",PA,Race and ethnicity,7,59.735421812,2.727284009,American Indian or Alaska Native only,54.666796257,3.305925629,1.09271854,0.082798892,61.477813255,2.36252191,American Indian or Alaska Native only,51.143892038,3.162616475,1.202055823,0.087516498,0.109337283,0.907533864,Little or no detectable change
|
|||
|
PA-3.3,"PA-3.3. Adolescents meeting federal guidelines for aerobic physical activity and muscle-strengthening activity (percent, grades 9-12)",PA,Sex,2,30.736488663,1.279144011,Male,12.72029679,0.818042007,2.416334239,0.185093465,28.454282572,1.516664292,Male,12.086080723,1.248142828,2.35430188,0.273605949,-0.062032,-0.187787422,Little or no detectable change
|
|||
|
PA-3.3,"PA-3.3. Adolescents meeting federal guidelines for aerobic physical activity and muscle-strengthening activity (percent, grades 9-12)",PA,Race and ethnicity,7,25.95373498,1.982987725,American Indian or Alaska Native only,19.716173965,2.489218739,1.316367721,0.19425862,24.993483734,2.684262645,American Indian or Alaska Native only,18.909401157,2.554341349,1.321749088,0.22809994,0.00538137,0.0179613,Little or no detectable change
|
|||
|
PA-5,"PA-5. Adolescents participating in daily school physical education (percent, grades 9-12)",PA,Sex,2,34.554579579,3.248488508,Male,31.920301043,2.847297789,1.082526745,0.140289063,34.711236267,3.493257464,Male,25.291769194,3.248883344,1.372432114,0.223958554,0.289905369,1.09700586,Little or no detectable change
|
|||
|
PA-5,"PA-5. Adolescents participating in daily school physical education (percent, grades 9-12)",PA,Race and ethnicity,7,40.639536097,4.012249185,Hispanic or Latino,33.49897101,6.449510581,1.213157744,0.262486614,45.800720569,5.78363768,American Indian or Alaska Native only,30.451084558,5.5360743,1.504075183,0.332935301,0.290917439,0.686184937,Little or no detectable change
|
|||
|
PA-8.2.1,"PA-8.2.1. Children viewing television, videos, or video games for 2 hours or less a day (percent, ages 2-5 years)",PA,Sex,2,76.741,1.891,Female,74.437,2.16,1.030952349,0.0392471,76.259771698,1.778897252,Female,76.204411071,1.534667344,1.000726475,0.0308398,-0.030226,-0.605556949,Little or no detectable change
|
|||
|
PA-8.2.1,"PA-8.2.1. Children viewing television, videos, or video games for 2 hours or less a day (percent, ages 2-5 years)",PA,Family income,5,90.371,3.044,At 400%-499% of the poverty threshold,76.034,2.934528809,1.188560381,0.0608856,88.465544325,2.978572476,Above 500% of the poverty threshold,76.631215428,3.871036901,1.154432222,0.0700827,-0.034128,-0.367615136,Little or no detectable change
|
|||
|
PA-8.2.3,"PA-8.2.3. Adolescents viewing television, videos, or video games for 2 hours or less a day (percent, grades 9-12)",PA,Sex,2,67.864662564,1.108653894,Female,66.544539513,1.828878764,1.019838187,0.0326064,79.449984143,1.138205303,Female,79.168168424,0.849304186,1.00355971,0.0179613,-0.016278,-0.43728631,Little or no detectable change
|
|||
|
PA-8.2.3,"PA-8.2.3. Adolescents viewing television, videos, or video games for 2 hours or less a day (percent, grades 9-12)",PA,Race and ethnicity,7,75.217959442,1.003514292,"White only, not Hispanic or Latino",59.545047209,2.635335984,1.263211014,0.0583919,85.584422616,1.485850255,Asian only,77.206937011,2.49966521,1.108506903,0.0407235,-0.154704111,-2.173113846,Decrease
|
|||
|
PA-8.3.1,"PA-8.3.1. Children using a computer for nonschool work for 2 hours or less a day (percent, ages 2-5 years)",PA,Sex,2,97.965,0.781,Female,96.877,0.633,1.011230736,0.0104236,97.96955319,0.487333688,Female,97.051913175,0.607191392,1.009455146,0.0080684,-0.0017756,-0.134703824,Little or no detectable change
|
|||
|
PA-8.3.1,"PA-8.3.1. Children using a computer for nonschool work for 2 hours or less a day (percent, ages 2-5 years)",PA,Family income,5,99.766,0.236,At 400%-499% of the poverty threshold,97.134,1.37453095,1.027096588,0.014736,99.752025412,0.231105082,At 400%-499% of the poverty threshold,97.523487299,1.065587924,1.022851296,0.0114246,-0.0042453,-0.227678988,Little or no detectable change
|
|||
|
PA-8.3.3,"PA-8.3.3. Adolescents using a computer for nonschool work for 2 hours or less a day (percent, grades 9-12)",PA,Sex,2,78.818411348,0.915540252,Female,71.67411364,1.680260879,1.099677517,0.0287709,57.045514528,1.227141553,Male,56.933411486,1.372314884,1.00196902,0.0323707,-0.097708497,-2.256105035,Decrease
|
|||
|
PA-8.3.3,"PA-8.3.3. Adolescents using a computer for nonschool work for 2 hours or less a day (percent, grades 9-12)",PA,Race and ethnicity,7,77.853911573,1.317607952,"White only, not Hispanic or Latino",69.275416224,2.460236124,1.12383174,0.0442119,59.261977672,1.513303135,"White only, not Hispanic or Latino",55.19336746,3.267631647,1.073715564,0.069228542,-0.050116,-0.61011761,Little or no detectable change
|
|||
|
PA-11.1,"PA-11.1. Office visits for cardiovascular disease, diabetes, or hyperlipidemia that include exercise counseling (age-adjusted percent, ages 20 and over)",PA,Sex,2,8.192,0.824,Male,7.197,0.653,1.138252049,0.154189557,17.318025936,3.290058544,Male,13.478534234,1.877900474,1.284859736,0.302702409,0.146607686,0.431566648,Little or no detectable change
|
|||
|
PA-11.1,"PA-11.1. Office visits for cardiovascular disease, diabetes, or hyperlipidemia that include exercise counseling (age-adjusted percent, ages 20 and over)",PA,Race and ethnicity,3,8.259,0.723,"White only, not Hispanic or Latino",6.124,1.719640079,1.348628347,0.396675496,23.194320506,5.524532115,Hispanic or Latino,13.542400467,4.358410372,1.712718551,0.685749347,0.364090204,0.459585454,Little or no detectable change
|
|||
|
PA-11.1,"PA-11.1. Office visits for cardiovascular disease, diabetes, or hyperlipidemia that include exercise counseling (age-adjusted percent, ages 20 and over)",PA,Geographic location,2,7.884,0.667,Metropolitan,5.851,1.076,1.347461972,0.27276282,11.550195717,1.388067453,Metropolitan,7.092509806,1.61943089,1.628506133,0.420195517,0.281044161,0.561007931,Little or no detectable change
|
|||
|
PA-11.2,PA-11.2. Physician visits by child or adult patients that include exercise counseling (age-adjusted percent),PA,Sex,2,5.662,0.553,Male,5.122,0.422,1.105427567,0.141249379,10.146216839,1.522087094,Male,9.211999636,1.2303476,1.101413074,0.221224071,-0.0040145,-0.015295,Little or no detectable change
|
|||
|
PA-11.2,PA-11.2. Physician visits by child or adult patients that include exercise counseling (age-adjusted percent),PA,Race and ethnicity,3,5.541,0.423,"White only, not Hispanic or Latino",4.589,1.181619651,1.207452604,0.324282922,12.261548427,3.206794135,Hispanic or Latino,9.688804484,2.529869491,1.265537812,0.467699869,0.0580852,0.102060653,Little or no detectable change
|
|||
|
PA-11.2,PA-11.2. Physician visits by child or adult patients that include exercise counseling (age-adjusted percent),PA,Geographic location,2,5.443,0.436,Metropolitan,4.051,0.518,1.34361886,0.202735668,9.567007674,1.265603783,Metropolitan,7.489128977,2.086994048,1.277452652,0.394062705,-0.066166207,-0.149306835,Little or no detectable change
|
|||
|
PREP-7,PREP-7. Household discussions of emergency plans (percent),PREP,Sex,2,81.0384,3.9577,Male,77.7155,3.749,1.042757236,0.071580471,79.0335,4.6562,Female,74.5266,5.6274,1.06047371,0.101564596,0.0177165,0.142582379,Little or no detectable change
|
|||
|
PREP-7,PREP-7. Household discussions of emergency plans (percent),PREP,Race and ethnicity,3,89.7306,4.8619,"Black or African American only, not Hispanic or Latino",73.1705,9.769159407,1.226322083,0.176698313,85.3956,8.76,"Black or African American only, not Hispanic or Latino",68.84655,14.081097466,1.240375879,0.283812922,0.0140538,0.0420365,Little or no detectable change
|
|||
|
PREP-7,PREP-7. Household discussions of emergency plans (percent),PREP,Disability status,2,83.8728,4.6238,People with activity limitations,77.8183,3.2584,1.077803036,0.074613491,78.6576,3.6253,People without activity limitations,59.8307,14.1666,1.314669559,0.317127422,0.236866523,0.727060135,Little or no detectable change
|
|||
|
PREP-13,"PREP-13. Adults whose households have a disaster emergency plan (percent, ages 18 and over)",PREP,Sex,2,46.9919,1.8119,Female,45.0053,2.0253,1.044141468,0.0618765,44.1207,2.0814,Female,42.151,2.2348,1.046729615,0.07428461,0.00258815,0.0267704,Little or no detectable change
|
|||
|
PREP-13,"PREP-13. Adults whose households have a disaster emergency plan (percent, ages 18 and over)",PREP,Race and ethnicity,3,48.794,5.2088,"Black or African American only, not Hispanic or Latino",41.87815,4.309042585,1.165142204,0.172752021,44.349,1.7393,"White only, not Hispanic or Latino",35.804,6.616822671,1.238660485,0.234010609,0.073518281,0.252754743,Little or no detectable change
|
|||
|
PREP-13,"PREP-13. Adults whose households have a disaster emergency plan (percent, ages 18 and over)",PREP,Educational attainment,6,49.0532,4.0097,Associates degree,43.07038,3.99483055,1.138907992,0.140803865,51.6593,4.518,Associates degree,40.79212,4.849651483,1.266403903,0.186909154,0.127495912,0.54483064,Little or no detectable change
|
|||
|
PREP-13,"PREP-13. Adults whose households have a disaster emergency plan (percent, ages 18 and over)",PREP,Disability status,2,46.407,2.4275,People with activity limitations,45.8914,1.6189,1.011235221,0.063801433,46.6591,4.2302,People with activity limitations,42.7864,1.6413,1.090512406,0.107353643,0.079277185,0.634818505,Little or no detectable change
|
|||
|
RD-1.1,"RD-1.1. Asthma deaths among children and adults (per million population, under age 35 years)",RD,Sex,2,2.626307056,0.193089935,Female,4.11765962,0.237337955,1.567851562,0.146471782,3.151245716,0.207336746,Female,4.743797272,0.249328449,1.505372065,0.126768375,-0.062479,-0.32253866,Little or no detectable change
|
|||
|
RD-1.1,"RD-1.1. Asthma deaths among children and adults (per million population, under age 35 years)",RD,Race and ethnicity,3,2.20131127,0.273039059,Hispanic or Latino,6.383781099,0.728859715,2.899990194,0.488889171,2.422639986,0.264331693,Hispanic or Latino,7.63610179,0.774571656,3.151975462,0.469569438,0.251985268,0.371730825,Little or no detectable change
|
|||
|
RD-1.1,"RD-1.1. Asthma deaths among children and adults (per million population, under age 35 years)",RD,Geographic location,2,3.279485134,0.163160484,Metropolitan,4.029320877,0.444964054,1.228644349,0.148815002,3.946764023,0.446883026,Nonmetropolitan,3.966069146,0.174765888,1.00489138,0.122094346,-0.223752968,-1.162405093,Little or no detectable change
|
|||
|
RD-1.2,"RD-1.2. Asthma deaths among adults (per million population, ages 35-64)",RD,Sex,2,9.120869147,0.393594556,Male,12.822061028,0.458515966,1.405793771,0.078786806,9.555807705,0.394074868,Male,13.105703225,0.453541562,1.371490891,0.073835204,-0.034303,-0.317687378,Little or no detectable change
|
|||
|
RD-1.2,"RD-1.2. Asthma deaths among adults (per million population, ages 35-64)",RD,Race and ethnicity,4,6.036780136,0.650962743,Hispanic or Latino,15.989582466,1.324252128,2.648693858,0.360134778,5.595938254,0.816251486,Asian or Pacific Islander,15.102898133,1.076019497,2.698903642,0.438125867,0.0502098,0.088531062,Little or no detectable change
|
|||
|
RD-1.2,"RD-1.2. Asthma deaths among adults (per million population, ages 35-64)",RD,Geographic location,2,10.911310804,0.328094812,Metropolitan,11.512333655,0.788812104,1.055082553,0.078948062,11.228739405,0.322937034,Metropolitan,12.175808432,0.832321129,1.084343308,0.08041725,0.0292608,0.259649973,Little or no detectable change
|
|||
|
RD-1.3,"RD-1.3. Asthma deaths among adults (per million population, ages 65 and over)",RD,Sex,2,26.974769081,1.294830351,Male,55.482453053,1.597651312,2.05682773,0.115133398,19.233595294,0.923242118,Male,39.37231204,1.179636829,2.0470594,0.115831975,-0.009768,-0.059812,Little or no detectable change
|
|||
|
RD-1.3,"RD-1.3. Asthma deaths among adults (per million population, ages 65 and over)",RD,Race and ethnicity,4,36.318718213,3.87158837,Hispanic or Latino,56.425567642,5.970376583,1.553622221,0.233350462,25.689073723,2.471932272,Hispanic or Latino,39.63093262,3.808542199,1.542715516,0.209800891,-0.010907,-0.034757,Little or no detectable change
|
|||
|
RD-1.3,"RD-1.3. Asthma deaths among adults (per million population, ages 65 and over)",RD,Geographic location,2,42.084255607,1.169910157,Metropolitan,48.884763354,2.628061159,1.161592682,0.070302473,30.369370616,0.84918149,Metropolitan,30.764381662,1.875737455,1.013006889,0.067949531,-0.148585793,-1.519700333,Little or no detectable change
|
|||
|
RD-2.1,"RD-2.1. Hospitalizations for asthma among children (per 10,000 population, under age 5 years)",RD,Sex,2,30.56040014,7.050201087,Female,51.671922011,10.289344785,1.690813006,0.515277406,25.515709992,5.811018056,Female,44.910343996,9.884278673,1.760105598,0.557445168,0.069292593,0.091280731,Little or no detectable change
|
|||
|
RD-2.2,"RD-2.2. Hospitalizations for asthma among children and adults (age adjusted, per 10,000 population, ages 5-64 years)",RD,Sex,2,8.22362754,0.934501395,Male,13.837163083,0.961793999,1.682610626,0.224138274,7.302889979,1.104046557,Male,13.649440007,1.474611913,1.86904637,0.34729421,0.186435744,0.451045257,Little or no detectable change
|
|||
|
RD-2.3,"RD-2.3. Hospitalizations for asthma among adults (age adjusted, per 10,000 population, ages 65 and over)",RD,Sex,2,17.024843567,2.278047755,Male,31.267563764,2.537366455,1.836584497,0.287410661,15.514579858,2.784106213,Male,33.014163653,4.32763471,2.127944421,0.47289087,0.291359924,0.526508609,Little or no detectable change
|
|||
|
RD-3.1,"RD-3.1. Emergency department visits for asthma among children (per 10,000 population, under age 5 years)",RD,Sex,2,93.83462793,14.1679742,Female,169.9631627,19.82439576,1.811305341,0.345586179,66.28459017,15.65439717,Female,190.1816468,37.79877374,2.869168329,0.88562979,1.057862988,1.112757367,Little or no detectable change
|
|||
|
RD-3.1,"RD-3.1. Emergency department visits for asthma among children (per 10,000 population, under age 5 years)",RD,Race and ethnicity,3,85.97318143,14.29825563,"White only, not Hispanic or Latino",234.8075027,58.708705714,2.731171498,0.820142092,99.88694606,26.77057354,Hispanic or Latino,206.61239765,88.60472519,2.068462455,1.046030368,-0.662709043,-0.498571736,Little or no detectable change
|
|||
|
RD-3.1,"RD-3.1. Emergency department visits for asthma among children (per 10,000 population, under age 5 years)",RD,Geographic location,2,89.49900426,25.42286607,Nonmetropolitan,140.3466258,15.04817637,1.56813617,0.476117573,126.993302,25.77484157,Metropolitan,147.8263942,38.82754141,1.164048748,0.386390581,-0.404087422,-0.659006522,Little or no detectable change
|
|||
|
RD-3.2,"RD-3.2. Emergency department visits for asthma among children and adults (per 10,000 population, ages 5-64 years)",RD,Sex,2,44.55141207,3.144651754,Male,69.30504808,3.568249949,1.555619561,0.135910191,57.47677589,4.78695312,Female,60.59198241,6.019580549,1.054199396,0.136664458,-0.501420165,-2.60153498,Decrease
|
|||
|
RD-3.2,"RD-3.2. Emergency department visits for asthma among children and adults (per 10,000 population, ages 5-64 years)",RD,Race and ethnicity,3,37.12181207,2.485002543,"White only, not Hispanic or Latino",119.27935622,14.448589946,3.213187869,0.444701709,37.66091737,3.583475499,"White only, not Hispanic or Latino",121.3747704,23.664062865,3.222830958,0.699182114,0.0096431,0.0116375,Little or no detectable change
|
|||
|
RD-3.2,"RD-3.2. Emergency department visits for asthma among children and adults (per 10,000 population, ages 5-64 years)",RD,Geographic location,2,49.69148835,8.229970605,Nonmetropolitan,58.3992606,2.936730994,1.175236696,0.203418574,53.00772316,7.088089642,Nonmetropolitan,59.87197644,5.066855465,1.129495343,0.178740432,-0.045741,-0.168918139,Little or no detectable change
|
|||
|
RD-3.3,"RD-3.3. Emergency department visits for asthma among adults (per 10,000 population, ages 65 and over)",RD,Sex,2,19.82612379,4.078104712,Male,23.48900636,3.76483163,1.184750313,0.308944355,10.33361859,2.818664665,Male,20.60946314,4.419362989,1.994409118,0.691986246,0.809658806,1.068404772,Little or no detectable change
|
|||
|
RD-4,RD-4. Activity limitations among persons with asthma (age-adjusted percent),RD,Sex,2,11.212301859,1.420537266,Male,13.50029742,1.104172919,1.204061181,0.181573497,7.8173805,1.012979226,Male,10.306759671,0.945905085,1.318441602,0.209353282,0.114380421,0.412740888,Little or no detectable change
|
|||
|
RD-4,RD-4. Activity limitations among persons with asthma (age-adjusted percent),RD,Race and ethnicity,4,8.378066749,1.53604079,Hispanic or Latino,20.159024691,5.211922191,2.406166637,0.762633197,8.03852456,1.514327725,"Black or African American only, not Hispanic or Latino",11.360050028,3.062071119,1.413200886,0.464735175,-0.992965751,-1.111846711,Little or no detectable change
|
|||
|
RD-4,RD-4. Activity limitations among persons with asthma (age-adjusted percent),RD,Educational attainment,6,7.097718444,2.022987442,Advanced degree,15.187952682,2.612296188,2.139835893,0.712341502,6.058601177,1.636296279,4-year college degree,13.410217048,3.023713949,2.213418024,0.778741826,0.073582132,0.069719659,Little or no detectable change
|
|||
|
RD-4,RD-4. Activity limitations among persons with asthma (age-adjusted percent),RD,Family income,5,4.24687276,1.230512142,At or above 600% of the poverty threshold,14.320349767,2.384505903,3.371975234,1.126858357,5.288924818,1.3732839,At or above 600% of the poverty threshold,10.820147343,1.917620032,2.04581228,0.643143285,-1.326162954,-1.022110096,Little or no detectable change
|
|||
|
RD-4,RD-4. Activity limitations among persons with asthma (age-adjusted percent),RD,Geographic location,2,11.765211188,0.930310206,Metropolitan,16.153197527,2.100185111,1.37296282,0.208928998,9.028221935,0.709157391,Metropolitan,12.322195046,2.657821119,1.364852917,0.31330363,-0.00811,-0.021536,Little or no detectable change
|
|||
|
RD-5.1,"RD-5.1. Children with asthma who miss school days (percent, ages 5-17 years)",RD,Sex,2,58.659408896,5.229929623,Female,58.732076603,4.883601733,1.001238807,0.122065245,48.807372289,5.425013433,Female,56.695048431,4.680810344,1.161608293,0.160835601,0.160369486,0.794258656,Little or no detectable change
|
|||
|
RD-5.1,"RD-5.1. Children with asthma who miss school days (percent, ages 5-17 years)",RD,Race and ethnicity,3,54.416362733,4.921211582,"White only, not Hispanic or Latino",71.45266347,9.874746089,1.313073125,0.216867486,37.255702272,4.755017995,"White only, not Hispanic or Latino",74.244673996,9.942701079,1.992840544,0.368669878,0.679767419,1.589261428,Little or no detectable change
|
|||
|
RD-5.1,"RD-5.1. Children with asthma who miss school days (percent, ages 5-17 years)",RD,Geographic location,2,58.433079714,3.94873043,Metropolitan,60.059788344,8.342311852,1.027838831,0.158766636,58.415974843,3.191215804,Metropolitan,63.024759952,6.785001491,1.078895972,0.130248203,0.0510571,0.248626423,Little or no detectable change
|
|||
|
RD-5.2,"RD-5.2. Adults with asthma who miss work days (percent, ages 18-64)",RD,Sex,2,27.601523112,4.045173484,Male,36.073613556,2.708291069,1.30694286,0.215210415,32.963304266,4.019952838,Male,39.505550327,2.793489801,1.198470578,0.168948097,-0.108472282,-0.396457662,Little or no detectable change
|
|||
|
RD-5.2,"RD-5.2. Adults with asthma who miss work days (percent, ages 18-64)",RD,Race and ethnicity,3,29.603,2.777,"White only, not Hispanic or Latino",40.289151632,8.224776568,1.36098205,0.305765762,36.076454557,2.724621057,"White only, not Hispanic or Latino",47.958274343,10.162727521,1.329351094,0.299055768,-0.031631,-0.073955989,Little or no detectable change
|
|||
|
RD-5.2,"RD-5.2. Adults with asthma who miss work days (percent, ages 18-64)",RD,Educational attainment,6,27.860517916,6.916722887,Associates degree,35.893386399,6.807212624,1.288324449,0.402489027,18.860658336,4.652883349,Advanced degree,41.907583798,6.592415329,2.221957635,0.650110598,0.933633186,1.221044718,Little or no detectable change
|
|||
|
RD-5.2,"RD-5.2. Adults with asthma who miss work days (percent, ages 18-64)",RD,Family income,5,21.7371468,4.783463692,At or above 600% of the poverty threshold,36.724959926,6.205027489,1.689502319,0.46873696,23.708466554,4.182047491,At or above 600% of the poverty threshold,40.975925044,6.368884411,1.728324561,0.406334737,0.0388222,0.062582156,Little or no detectable change
|
|||
|
RD-5.2,"RD-5.2. Adults with asthma who miss work days (percent, ages 18-64)",RD,Geographic location,2,31.706088305,2.496870083,Metropolitan,42.006512927,6.04182468,1.324872136,0.217250351,36.834657835,2.456450101,Metropolitan,42.705109247,6.292710095,1.15937304,0.187518189,-0.165499095,-0.576680655,Little or no detectable change
|
|||
|
RD-6,RD-6. Persons with asthma receiving patient education (age-adjusted percent),RD,Sex,2,13.338487238,1.171479722,Female,10.664047902,1.35529012,1.250790259,0.193227326,13.106740246,0.966203023,Female,12.09422555,1.18039628,1.083718853,0.132551288,-0.167071406,-0.713000243,Little or no detectable change
|
|||
|
RD-6,RD-6. Persons with asthma receiving patient education (age-adjusted percent),RD,Race and ethnicity,4,20.10025791,2.353324051,"Black or African American only, not Hispanic or Latino",11.691678831,3.309012197,1.719193471,0.52656034,16.405671048,2.089779142,Hispanic or Latino,14.239772175,3.259876605,1.152102073,0.301828506,-0.567091397,-0.934357658,Little or no detectable change
|
|||
|
RD-6,RD-6. Persons with asthma receiving patient education (age-adjusted percent),RD,Educational attainment,6,20.309674953,3.023731684,Some college,10.993117204,2.912603709,1.847490077,0.561476104,20.784983973,3.658700412,Advanced degree,14.073151568,2.690685916,1.476924616,0.383829679,-0.370565461,-0.544842796,Little or no detectable change
|
|||
|
RD-6,RD-6. Persons with asthma receiving patient education (age-adjusted percent),RD,Family income,5,13.958943027,2.093637584,Below the poverty threshold (<100%),11.853190285,2.442770632,1.177652825,0.300167168,14.471706311,1.63801106,At 200%-399% of the poverty threshold,12.468380361,2.166627194,1.160672509,0.240702466,-0.01698,-0.044133,Little or no detectable change
|
|||
|
RD-6,RD-6. Persons with asthma receiving patient education (age-adjusted percent),RD,Geographic location,2,12.932159531,0.951843316,Metropolitan,8.732343997,1.915125208,1.480949392,0.342595806,13.36383045,0.868175307,Metropolitan,9.827950688,1.552748113,1.359777931,0.232288138,-0.121171461,-0.292741343,Little or no detectable change
|
|||
|
RD-7.1,RD-7.1. Persons with asthma receiving written asthma plans from health care providers (age-adjusted percent),RD,Sex,2,33.738061349,1.575184706,Female,32.513165109,1.971530118,1.037673854,0.079412806,37.533807018,2.011924565,Male,33.528671352,1.610456824,1.119454052,0.080572517,0.081780198,0.722888984,Little or no detectable change
|
|||
|
RD-7.1,RD-7.1. Persons with asthma receiving written asthma plans from health care providers (age-adjusted percent),RD,Race and ethnicity,5,42.364892962,2.940558511,"Black or African American only, not Hispanic or Latino",32.709742919,5.440553084,1.29517658,0.233429699,42.931739836,3.764395474,"Black or African American only, not Hispanic or Latino",34.194233043,5.240055923,1.255525743,0.221670649,-0.039651,-0.123172929,Little or no detectable change
|
|||
|
RD-7.1,RD-7.1. Persons with asthma receiving written asthma plans from health care providers (age-adjusted percent),RD,Educational attainment,6,38.024609156,3.382339869,Some college,28.982106075,4.312613519,1.312002967,0.227452137,32.332748827,3.118555497,High school graduate,30.051427104,3.927156316,1.075913923,0.174750897,-0.236089044,-0.823092947,Little or no detectable change
|
|||
|
RD-7.1,RD-7.1. Persons with asthma receiving written asthma plans from health care providers (age-adjusted percent),RD,Family income,5,36.61141929,3.29022281,At 400%-599% of the poverty threshold,33.200073083,3.144367299,1.102751166,0.143976873,36.556017415,2.831047051,Below the poverty threshold (<100%),35.282702628,3.434250866,1.036088924,0.128874374,-0.066662241,-0.344988572,Little or no detectable change
|
|||
|
RD-7.1,RD-7.1. Persons with asthma receiving written asthma plans from health care providers (age-adjusted percent),RD,Geographic location,2,35.314309157,1.329714543,Metropolitan,24.631676482,2.699722855,1.433694908,0.166152636,36.200548623,1.339187498,Metropolitan,30.039251268,3.607146133,1.20510822,0.151422186,-0.228586688,-1.01684131,Little or no detectable change
|
|||
|
RD-7.3,"RD-7.3. Persons with asthma receiving education on early signs, symptoms, and responses to asthma episodes (age-adjusted percent)",RD,Sex,2,66.129119109,1.596897731,Female,62.281502007,2.27538641,1.061777847,0.0464988,69.171707533,1.633618802,Female,66.56431009,2.014748874,1.039171103,0.0398951,-0.022607,-0.368981537,Little or no detectable change
|
|||
|
RD-7.3,"RD-7.3. Persons with asthma receiving education on early signs, symptoms, and responses to asthma episodes (age-adjusted percent)",RD,Race and ethnicity,5,73.507649549,4.952891338,Asian only,65.273254727,4.535876118,1.126152662,0.109003815,80.300712201,4.975709842,Asian only,71.128582411,3.559393198,1.128951393,0.089917553,0.00279873,0.0198064,Little or no detectable change
|
|||
|
RD-7.3,"RD-7.3. Persons with asthma receiving education on early signs, symptoms, and responses to asthma episodes (age-adjusted percent)",RD,Educational attainment,6,72.796154979,4.589809541,Advanced degree,58.989521536,4.539499562,1.234052304,0.122769868,70.503203707,3.808856795,Advanced degree,62.154841264,4.24517577,1.134315562,0.09877974,-0.099736742,-0.632947792,Little or no detectable change
|
|||
|
RD-7.3,"RD-7.3. Persons with asthma receiving education on early signs, symptoms, and responses to asthma episodes (age-adjusted percent)",RD,Family income,5,72.539496555,3.295705867,At 400%-599% of the poverty threshold,63.533031502,3.441618331,1.141760354,0.080723572,71.287597176,3.066388527,At 400%-599% of the poverty threshold,68.047997525,3.280393606,1.047607568,0.067683501,-0.094152787,-0.893765338,Little or no detectable change
|
|||
|
RD-7.3,"RD-7.3. Persons with asthma receiving education on early signs, symptoms, and responses to asthma episodes (age-adjusted percent)",RD,Geographic location,2,66.15997565,1.419243547,Metropolitan,59.033045144,3.528685958,1.120727814,0.071174571,69.496155855,1.304390766,Metropolitan,59.822367544,3.18381988,1.16170855,0.065559732,0.0409807,0.423498049,Little or no detectable change
|
|||
|
RD-7.4,RD-7.4. Persons with asthma who do not use more than 1 beta agonist inhalation canister per month (age-adjusted percent),RD,Sex,2,88.323877249,0.963276691,Female,87.622514502,1.431944611,1.008004367,0.0198045,86.072989032,1.117465644,Female,82.822666173,1.480772758,1.039244364,0.0229625,0.03124,1.030236586,Little or no detectable change
|
|||
|
RD-7.4,RD-7.4. Persons with asthma who do not use more than 1 beta agonist inhalation canister per month (age-adjusted percent),RD,Race and ethnicity,5,90.367527891,3.381283546,Asian only,85.995000488,2.730473467,1.050846298,0.0515685,87.177400058,1.044163384,"White only, not Hispanic or Latino",80.834797674,4.079410826,1.078463763,0.0559376,0.0276175,0.36300028,Little or no detectable change
|
|||
|
RD-7.4,RD-7.4. Persons with asthma who do not use more than 1 beta agonist inhalation canister per month (age-adjusted percent),RD,Educational attainment,6,95.733901482,2.120138846,Advanced degree,85.062668858,2.985432038,1.12545142,0.0467061,95.690119885,1.405067575,Advanced degree,83.09639604,3.359420471,1.151555596,0.0495307,0.0261042,0.383439569,Little or no detectable change
|
|||
|
RD-7.4,RD-7.4. Persons with asthma who do not use more than 1 beta agonist inhalation canister per month (age-adjusted percent),RD,Family income,5,91.946164959,1.963092452,At 400%-599% of the poverty threshold,87.190830167,2.233951131,1.054539391,0.0351701,91.823903002,1.599732042,At or above 600% of the poverty threshold,82.579611032,2.423979931,1.111944,0.0379551,0.0574046,1.109379248,Little or no detectable change
|
|||
|
RD-7.4,RD-7.4. Persons with asthma who do not use more than 1 beta agonist inhalation canister per month (age-adjusted percent),RD,Geographic location,2,89.700964585,1.449970438,Nonmetropolitan,87.707325663,0.93427682,1.022730586,0.0197988,85.639436627,2.648747042,Nonmetropolitan,83.914483604,1.022802976,1.020556082,0.0339275,-0.0021745,-0.055356,Little or no detectable change
|
|||
|
RD-7.5,RD-7.5. Persons with asthma receiving advice from health professionals in reducing exposure to environmental risk factors (age-adjusted percent),RD,Sex,2,52.486793216,1.663500967,Female,46.469160979,2.25712384,1.129497329,0.065508701,46.244107524,1.790170674,Female,43.168377779,2.069546054,1.071249602,0.066009582,-0.058248,-0.626332142,Little or no detectable change
|
|||
|
RD-7.5,RD-7.5. Persons with asthma receiving advice from health professionals in reducing exposure to environmental risk factors (age-adjusted percent),RD,Race and ethnicity,5,66.12041697,5.06621305,Two or more races,49.405786579,4.655607708,1.338313213,0.162540082,62.834866925,7.610587823,Asian only,45.781306758,4.510912436,1.372500511,0.214297712,0.0341873,0.127106325,Little or no detectable change
|
|||
|
RD-7.5,RD-7.5. Persons with asthma receiving advice from health professionals in reducing exposure to environmental risk factors (age-adjusted percent),RD,Educational attainment,6,60.277401578,4.854096911,Associates degree,48.93191967,4.531257886,1.231862596,0.151174897,51.991980229,3.307115102,4-year college degree,42.504937635,4.244522383,1.2231986,0.144823422,-0.008664,-0.041385,Little or no detectable change
|
|||
|
RD-7.5,RD-7.5. Persons with asthma receiving advice from health professionals in reducing exposure to environmental risk factors (age-adjusted percent),RD,Family income,5,52.927884691,2.951882167,At 100%-199% of the poverty threshold,50.402357682,3.69393428,1.050107319,0.096711159,48.435719584,3.040517346,Below the poverty threshold (<100%),43.354782436,3.58698195,1.117194387,0.116025798,0.067087068,0.444148553,Little or no detectable change
|
|||
|
RD-7.5,RD-7.5. Persons with asthma receiving advice from health professionals in reducing exposure to environmental risk factors (age-adjusted percent),RD,Geographic location,2,51.791799227,3.324778296,Nonmetropolitan,50.736602484,1.493084776,1.020797544,0.072087562,46.162419578,1.451130756,Metropolitan,38.389580314,2.982589789,1.202472629,0.100780794,0.181675085,1.46620029,Little or no detectable change
|
|||
|
RD-7.6,RD-7.6. Persons with asthma who have had at least one routine medical follow-up visit in the past 12 months (age-adjusted percent),RD,Sex,2,57.50577548,1.518925239,Female,56.599657545,1.837213881,1.016009248,0.0425186,54.704915254,1.717058737,Female,52.550207813,2.059910363,1.041002834,0.0522759,0.0249936,0.370912642,Little or no detectable change
|
|||
|
RD-7.6,RD-7.6. Persons with asthma who have had at least one routine medical follow-up visit in the past 12 months (age-adjusted percent),RD,Race and ethnicity,5,62.954205002,2.364730384,"Black or African American only, not Hispanic or Latino",56.748584637,4.586409425,1.109352866,0.098868161,56.990175758,3.455934889,Hispanic or Latino,54.444494901,5.454348318,1.04675736,0.122581112,-0.062595506,-0.397473506,Little or no detectable change
|
|||
|
RD-7.6,RD-7.6. Persons with asthma who have had at least one routine medical follow-up visit in the past 12 months (age-adjusted percent),RD,Educational attainment,6,55.698244828,3.648340225,Less than high school,51.916781487,4.123753098,1.072837014,0.110453413,59.507026636,4.300872557,Less than high school,47.966900297,3.979179095,1.240585201,0.13649542,0.167748187,0.955354023,Little or no detectable change
|
|||
|
RD-7.6,RD-7.6. Persons with asthma who have had at least one routine medical follow-up visit in the past 12 months (age-adjusted percent),RD,Family income,5,61.497080651,2.086757981,Below the poverty threshold (<100%),56.400764256,3.211856135,1.090358995,0.072280096,58.21204968,2.870134064,Below the poverty threshold (<100%),53.706708545,3.28882591,1.083887865,0.085213907,-0.0064711,-0.057912,Little or no detectable change
|
|||
|
RD-7.6,RD-7.6. Persons with asthma who have had at least one routine medical follow-up visit in the past 12 months (age-adjusted percent),RD,Geographic location,2,57.742185371,2.592422923,Nonmetropolitan,57.247857437,1.26770822,1.008634872,0.0504929,54.45390116,1.37033374,Metropolitan,50.221027137,3.46272318,1.084284895,0.079584851,0.075650023,0.802643061,Little or no detectable change
|
|||
|
RD-7.7,RD-7.7. Persons with asthma whose doctor assessed their asthma control at the last visit (age-adjusted percent),RD,Sex,2,52.173615378,1.698075996,Female,51.60074847,2.320427438,1.011101911,0.0561274,51.51325789,2.006859638,Female,48.202616583,2.561929854,1.068681776,0.070424192,0.0575799,0.639387608,Little or no detectable change
|
|||
|
RD-7.7,RD-7.7. Persons with asthma whose doctor assessed their asthma control at the last visit (age-adjusted percent),RD,Race and ethnicity,4,57.888743287,3.15197939,Hispanic or Latino,51.896523887,5.010602746,1.115464755,0.123643431,59.710185278,6.881062846,Two or more races,51.842997258,4.370476581,1.151750254,0.164451818,0.0362855,0.176359236,Little or no detectable change
|
|||
|
RD-7.7,RD-7.7. Persons with asthma whose doctor assessed their asthma control at the last visit (age-adjusted percent),RD,Educational attainment,6,50.913274791,3.681420909,4-year college degree,46.560592059,4.952463675,1.093484265,0.140639786,54.448297611,5.696008995,Less than high school,45.028294877,4.627746812,1.209201853,0.177330392,0.115717588,0.51127643,Little or no detectable change
|
|||
|
RD-7.7,RD-7.7. Persons with asthma whose doctor assessed their asthma control at the last visit (age-adjusted percent),RD,Family income,5,62.2205815,4.412210814,At or above 600% of the poverty threshold,51.106077538,3.42178431,1.217479104,0.118736862,51.677079073,3.756555789,Below the poverty threshold (<100%),50.57203208,4.035376359,1.021850951,0.110300455,-0.195628153,-1.207106778,Little or no detectable change
|
|||
|
RD-7.7,RD-7.7. Persons with asthma whose doctor assessed their asthma control at the last visit (age-adjusted percent),RD,Geographic location,2,54.399625828,1.488115047,Metropolitan,42.642184742,2.691094158,1.275723234,0.087747331,51.678187138,1.695722821,Metropolitan,36.040753899,4.511579571,1.433881968,0.1855574,0.158158734,0.770533563,Little or no detectable change
|
|||
|
RD-7.8,"RD-7.8. Adults with current asthma who have discussed with a doctor or other health professional whether their asthma was work related (age-adjusted percent, ages 18 and over)",RD,Sex,2,16.200329949,2.361362087,Male,13.622102354,1.475727836,1.189267965,0.215982738,16.006432732,2.04361374,Male,9.66009652,1.155242979,1.656964058,0.289861489,0.467696093,1.29383455,Little or no detectable change
|
|||
|
RD-7.8,"RD-7.8. Adults with current asthma who have discussed with a doctor or other health professional whether their asthma was work related (age-adjusted percent, ages 18 and over)",RD,Race and ethnicity,3,20.591373399,3.566843265,"Black or African American only, not Hispanic or Latino",16.153348858,4.98310975,1.274743311,0.450996067,12.79529741,3.655181663,Hispanic or Latino,12.174990214,3.342473056,1.050949297,0.416386969,-0.223794013,-0.364591972,Little or no detectable change
|
|||
|
RD-7.8,"RD-7.8. Adults with current asthma who have discussed with a doctor or other health professional whether their asthma was work related (age-adjusted percent, ages 18 and over)",RD,Educational attainment,6,19.504589683,5.477166368,Less than high school,16.597943753,3.884141016,1.175120845,0.429552719,20.733300107,5.721578826,Less than high school,12.867249368,3.183661588,1.611323408,0.59721836,0.436202564,0.592946097,Little or no detectable change
|
|||
|
RD-7.8,"RD-7.8. Adults with current asthma who have discussed with a doctor or other health professional whether their asthma was work related (age-adjusted percent, ages 18 and over)",RD,Geographic location,2,14.916629481,1.391494669,Metropolitan,10.680142319,1.938859225,1.396669542,0.285065537,13.851392154,2.987056242,Nonmetropolitan,11.870130129,1.15570151,1.166911567,0.276103267,-0.229757975,-0.578944179,Little or no detectable change
|
|||
|
RD-9,"RD-9. Activity limitations among persons with chronic obstructive pulmonary disease (COPD) (age-adjusted percent, ages 45 and over)",RD,Sex,2,21.698469976,1.852501101,Female,25.811397912,3.019882588,1.189549214,0.172289206,19.288890358,1.792004506,Female,22.815458608,2.24665337,1.182828985,0.160130422,-0.0067202,-0.028571,Little or no detectable change
|
|||
|
RD-9,"RD-9. Activity limitations among persons with chronic obstructive pulmonary disease (COPD) (age-adjusted percent, ages 45 and over)",RD,Race and ethnicity,3,19.671258621,4.418524426,Hispanic or Latino,24.555317938,4.587990216,1.248284028,0.364711972,15.822965288,4.492701862,Hispanic or Latino,19.818204328,4.306145447,1.252496227,0.447810731,0.0042122,0.00729338,Little or no detectable change
|
|||
|
RD-9,"RD-9. Activity limitations among persons with chronic obstructive pulmonary disease (COPD) (age-adjusted percent, ages 45 and over)",RD,Educational attainment,6,19.008997405,2.89498201,Some college,24.98210581,4.763241485,1.314225326,0.320701811,11.08532034,2.777700453,4-year college degree,21.774827893,4.142503326,1.964293969,0.617988145,0.650068644,0.933676177,Little or no detectable change
|
|||
|
RD-9,"RD-9. Activity limitations among persons with chronic obstructive pulmonary disease (COPD) (age-adjusted percent, ages 45 and over)",RD,Family income,5,16.40800873,3.692166224,At or above 600% of the poverty threshold,25.244873959,3.782815938,1.538570242,0.415950661,9.948450976,2.344868861,At or above 600% of the poverty threshold,22.528774989,3.751111966,2.264551038,0.653505201,0.725980797,0.937171579,Little or no detectable change
|
|||
|
RD-9,"RD-9. Activity limitations among persons with chronic obstructive pulmonary disease (COPD) (age-adjusted percent, ages 45 and over)",RD,Geographic location,2,22.015012297,1.819824455,Metropolitan,26.904453161,3.2826783,1.222095759,0.180109682,20.5024359,2.426882647,Nonmetropolitan,20.694285089,1.723022419,1.009357385,0.146074355,-0.212738374,-0.917374539,Little or no detectable change
|
|||
|
RD-10,"RD-10. Chronic obstructive pulmonary disease (COPD) deaths (age adjusted, per 100,000 population, ages 45 and over)",RD,Sex,2,99.696969826,0.398518646,Female,136.23220184,0.566185626,1.366462813,0.0078795,104.88765585,0.371514906,Female,125.58524987,0.472729514,1.197331076,0.00618862,-0.169131737,-16.88062428,Decrease
|
|||
|
RD-10,"RD-10. Chronic obstructive pulmonary disease (COPD) deaths (age adjusted, per 100,000 population, ages 45 and over)",RD,Race and ethnicity,5,36.452605391,1.090162925,Asian or Pacific Islander,86.257195563,2.510021882,2.366283415,0.098738268,30.43153057,0.709873861,Asian or Pacific Islander,85.269017675,1.823730837,2.801995696,0.08867731,0.435712281,3.283100929,Increase
|
|||
|
RD-10,"RD-10. Chronic obstructive pulmonary disease (COPD) deaths (age adjusted, per 100,000 population, ages 45 and over)",RD,Geographic location,2,108.69924309,0.352390662,Metropolitan,137.74289851,0.836785777,1.267192803,0.0087257,105.37455932,0.308179861,Metropolitan,152.89887727,0.821551231,1.451003717,0.0088766,0.183810914,14.767292879,Increase
|
|||
|
RD-11,"RD-11. Hospitalizations for chronic obstructive pulmonary disease (COPD) (age adjusted, per 10,000 population, ages 45 and over)",RD,Sex,2,53.888567403,2.531094411,Female,59.425429353,3.081451666,1.102746505,0.077152371,57.993876852,5.076361132,Male,60.34619157,5.101812833,1.040561432,0.126629936,-0.062185,-0.419369599,Little or no detectable change
|
|||
|
RD-12,"RD-12. Emergency department visits for chronic obstructive pulmonary disease (COPD) (age adjusted, per 10,000 population, ages 45 and over)",RD,Sex,2,62.03255523,9.113,Male,97.34169626,11.777,1.569203395,0.298640654,62.77468635,11.07129936,Male,96.59839751,15.67356457,1.538811313,0.368774148,-0.030392,-0.064046434,Little or no detectable change
|
|||
|
RD-12,"RD-12. Emergency department visits for chronic obstructive pulmonary disease (COPD) (age adjusted, per 10,000 population, ages 45 and over)",RD,Race and ethnicity,3,65.48803793,18.494,Hispanic or Latino,94.523810265,25.512057012,1.443375206,0.563836685,102.1632001,12.46895151,"White only, not Hispanic or Latino",112.0172564,41.239261525,1.096454068,0.425264737,-0.346921138,-0.491229144,Little or no detectable change
|
|||
|
RD-12,"RD-12. Emergency department visits for chronic obstructive pulmonary disease (COPD) (age adjusted, per 10,000 population, ages 45 and over)",RD,Geographic location,2,81.15656998,10.043,Metropolitan,84.56894038,23.61,1.042046755,0.318217667,79.63220242,12.27900982,Metropolitan,93.8355482,18.24323116,1.178361835,0.292401328,0.136315081,0.315428395,Little or no detectable change
|
|||
|
SA-1,"SA-1. Adolescents who, within the past 30 days, rode with a driver who had been drinking alcohol (percent, grades 9-12)",SA,Sex,2,27.776905434,0.896330107,Male,28.798673469,0.872072419,1.036784804,0.0458801,15.708262825,0.692829003,Male,17.147695828,0.818297102,1.091635404,0.070936062,0.0548506,0.649271592,Little or no detectable change
|
|||
|
SA-1,"SA-1. Adolescents who, within the past 30 days, rode with a driver who had been drinking alcohol (percent, grades 9-12)",SA,Race and ethnicity,7,19.112897288,1.070039321,Asian only,32.155026909,2.307427447,1.682373239,0.153121501,13.99609531,2.070357692,Asian only,18.883359662,2.479216745,1.349187702,0.266848875,-0.333185537,-1.08296762,Little or no detectable change
|
|||
|
SA-2.1,"SA-2.1. At-risk adolescents who, in the past year, refrained from alcohol use for the first time (percent, ages 12-17)",SA,Sex,2,86.3705,0.4945,Male,84.8126,0.5071,1.018368733,0.0084303,89.6619902,0.43989287,Male,87.3299027,0.53169949,1.026704341,0.0080279,0.0083356,0.716045184,Little or no detectable change
|
|||
|
SA-2.1,"SA-2.1. At-risk adolescents who, in the past year, refrained from alcohol use for the first time (percent, ages 12-17)",SA,Race and ethnicity,6,90.6801,1.6279,Asian only,85.2151,1.595172984,1.064131826,0.0275997,94.7998066,1.03587393,Asian only,89.30620948,1.195446135,1.061514167,0.0183424,-0.0026177,-0.078990492,Little or no detectable change
|
|||
|
SA-2.1,"SA-2.1. At-risk adolescents who, in the past year, refrained from alcohol use for the first time (percent, ages 12-17)",SA,Family income,5,87.0281,0.8607,Below the poverty threshold (<100%),84.3976,1.330474465,1.031167948,0.0191899,90.9200867,0.66917452,At 100%-199% of the poverty threshold,87.7402823,0.977814861,1.036241101,0.0138395,0.00507315,0.214421683,Little or no detectable change
|
|||
|
SA-2.1,"SA-2.1. At-risk adolescents who, in the past year, refrained from alcohol use for the first time (percent, ages 12-17)",SA,Geographic location,2,89.2208384,0.78845711,Nonmetropolitan,88.1816788,0.40772111,1.011784303,0.0100912,89.2915867,0.76129733,Nonmetropolitan,88.3914277,0.39660753,1.010183782,0.0097327,-0.0016005,-0.114160977,Little or no detectable change
|
|||
|
SA-2.2,"SA-2.2. At-risk adolescents who, in the past year, refrained from marijuana use for the first time (percent, ages 12-17)",SA,Sex,2,94.5172,0.3052,Male,94.1388,0.3053,1.004019597,0.00459489,94.7403675,0.3087103,Male,93.2940752,0.37587221,1.01550251,0.005262,0.0114829,1.643745636,Little or no detectable change
|
|||
|
SA-2.2,"SA-2.2. At-risk adolescents who, in the past year, refrained from marijuana use for the first time (percent, ages 12-17)",SA,Race and ethnicity,7,98.7634,0.4123,Asian only,94.70625,1.069305043,1.042839306,0.0125535,97.4342717,0.76356042,Asian only,94.24970105,1.045933107,1.033788655,0.0140446,-0.009051,-0.480466508,Little or no detectable change
|
|||
|
SA-2.2,"SA-2.2. At-risk adolescents who, in the past year, refrained from marijuana use for the first time (percent, ages 12-17)",SA,Family income,5,95.408,0.4684,Below the poverty threshold (<100%),93.524275,0.806324352,1.020141562,0.0101212,95.1984732,0.47685464,At 100%-199% of the poverty threshold,93.5904285,0.684646088,1.017181722,0.0090183,-0.0029598,-0.218339929,Little or no detectable change
|
|||
|
SA-2.2,"SA-2.2. At-risk adolescents who, in the past year, refrained from marijuana use for the first time (percent, ages 12-17)",SA,Geographic location,2,95.3348418,0.48387575,Nonmetropolitan,94.6324511,0.24688873,1.007422303,0.00574916,94.7664114,0.49426497,Nonmetropolitan,93.9035957,0.27650066,1.009188314,0.00604442,0.00176601,0.211702813,Little or no detectable change
|
|||
|
SA-2.3,SA-2.3. High school seniors never using alcoholic beverages (percent),SA,Sex,2,28.003715845,1.601199779,Female,27.580723824,1.600112583,1.015336509,0.082705678,43.523232387,1.190866162,Male,39.514018909,1.212291897,1.101463065,0.0452797,0.086126556,0.913428351,Little or no detectable change
|
|||
|
SA-2.3,SA-2.3. High school seniors never using alcoholic beverages (percent),SA,Race and ethnicity,3,36.76984382,1.304331841,"Black or African American only, not Hispanic or Latino",26.486079984,1.665007235,1.388270512,0.100207188,52.051414294,1.930812445,"Black or African American only, not Hispanic or Latino",39.077415635,1.443149527,1.332007592,0.069722083,-0.056263,-0.46088283,Little or no detectable change
|
|||
|
SA-2.3,SA-2.3. High school seniors never using alcoholic beverages (percent),SA,Geographic location,2,28.928002267,1.851282645,Metropolitan,23.069659363,1.372059211,1.253941457,0.109551332,42.48495956,1.217352465,Metropolitan,37.44466193,1.864427086,1.134606573,0.065180484,-0.119334883,-0.936140137,Little or no detectable change
|
|||
|
SA-2.4,SA-2.4. High school seniors never using illicit drugs (percent),SA,Sex,2,56.274476235,1.151758449,Female,50.58239722,1.216857798,1.112530827,0.0351395,53.514487134,1.241765323,Female,52.227030179,1.131776603,1.024651162,0.0325323,-0.087879666,-1.835156547,Little or no detectable change
|
|||
|
SA-2.4,SA-2.4. High school seniors never using illicit drugs (percent),SA,Race and ethnicity,3,57.49272197,1.2227474,"Black or African American only, not Hispanic or Latino",52.927788496,1.54600773,1.086248332,0.0392485,52.910361111,1.896586608,"Black or African American only, not Hispanic or Latino",51.994110294,1.828279125,1.017622204,0.0510978,-0.068626128,-1.065101445,Little or no detectable change
|
|||
|
SA-2.4,SA-2.4. High school seniors never using illicit drugs (percent),SA,Geographic location,2,53.810624011,2.086409806,Nonmetropolitan,53.114635346,1.207426312,1.01310352,0.0455348,52.227563199,2.253965614,Nonmetropolitan,52.176899417,1.135620412,1.000971,0.0483812,-0.012133,-0.182611121,Little or no detectable change
|
|||
|
SA-3.1,SA-3.1. Adolescents who disapprove of having 1-2 alcoholic drinks every day—8th graders (percent),SA,Sex,2,81.490495868,0.699116148,Female,75.704526109,0.866938879,1.07642832,0.0154024,81.002604497,0.842351905,Female,75.814263473,0.921649231,1.068434893,0.0170925,-0.007993,-0.347413921,Little or no detectable change
|
|||
|
SA-3.1,SA-3.1. Adolescents who disapprove of having 1-2 alcoholic drinks every day—8th graders (percent),SA,Race and ethnicity,3,80.703240978,0.737263642,"White only, not Hispanic or Latino",75.279826146,1.586298363,1.072043403,0.0246217,81.936210151,0.698720491,"White only, not Hispanic or Latino",75.065233116,1.581526097,1.091533414,0.0248095,0.01949,0.557599543,Little or no detectable change
|
|||
|
SA-3.1,SA-3.1. Adolescents who disapprove of having 1-2 alcoholic drinks every day—8th graders (percent),SA,Geographic location,2,78.677931645,0.780185097,Metropolitan,77.79460118,1.078634421,1.01135465,0.0172398,77.952263124,0.871287342,Metropolitan,77.741585274,1.520447768,1.002709976,0.0225873,-0.008645,-0.304232035,Little or no detectable change
|
|||
|
SA-3.2,SA-3.2. Adolescents who disapprove of having 1-2 alcoholic drinks every day—10th graders (percent),SA,Sex,2,82.757710969,0.668454472,Female,72.546475105,0.876272505,1.140754404,0.0165759,82.113623269,0.941718251,Female,74.563416973,0.905911245,1.101258856,0.0183992,-0.039496,-1.594834511,Little or no detectable change
|
|||
|
SA-3.2,SA-3.2. Adolescents who disapprove of having 1-2 alcoholic drinks every day—10th graders (percent),SA,Race and ethnicity,3,78.832675726,0.926476512,"Black or African American only, not Hispanic or Latino",77.88822425,1.070406493,1.012125729,0.018302,79.027582784,0.609204982,"White only, not Hispanic or Latino",75.721296563,2.297214626,1.043663888,0.0326686,0.0315382,0.842230994,Little or no detectable change
|
|||
|
SA-3.2,SA-3.2. Adolescents who disapprove of having 1-2 alcoholic drinks every day—10th graders (percent),SA,Geographic location,2,79.101519167,0.64542401,Metropolitan,72.021816232,1.869010498,1.098299422,0.0298772,78.001060494,0.849489128,Metropolitan,77.5350778,1.291312705,1.00600996,0.0200189,-0.092289463,-2.566168259,Decrease
|
|||
|
SA-3.3,SA-3.3. Adolescents who disapprove of having 1-2 alcoholic drinks every day—12th graders (percent),SA,Sex,2,77.555290615,1.571184544,Female,62.471796607,2.219356429,1.241444857,0.0507704,77.516845997,1.596342828,Female,71.220479392,1.667315133,1.088406687,0.0339358,-0.15303817,-2.506039375,Decrease
|
|||
|
SA-3.3,SA-3.3. Adolescents who disapprove of having 1-2 alcoholic drinks every day—12th graders (percent),SA,Race and ethnicity,3,79.651530428,1.898027343,Hispanic or Latino,72.66663117,2.550778217,1.096122514,0.0465047,79.137051496,2.059066975,"Black or African American only, not Hispanic or Latino",73.724173392,2.044184443,1.073420669,0.0408154,-0.022702,-0.366895259,Little or no detectable change
|
|||
|
SA-3.3,SA-3.3. Adolescents who disapprove of having 1-2 alcoholic drinks every day—12th graders (percent),SA,Geographic location,2,71.052161824,1.586247112,Metropolitan,68.404527038,3.489344746,1.038705549,0.0578371,75.960258964,1.415381115,Metropolitan,69.597456146,2.248829487,1.091422922,0.0407096,0.0527174,0.745357191,Little or no detectable change
|
|||
|
SA-3.4,SA-3.4. Adolescents who disapprove of trying marijuana or hashish once or twice—8th graders (percent),SA,Sex,2,77.594269193,0.911385431,Female,73.462479878,0.890008098,1.056243532,0.0178231,65.531164387,1.357402644,Female,64.54631449,1.098034979,1.015258035,0.027213,-0.040985,-1.259922137,Little or no detectable change
|
|||
|
SA-3.4,SA-3.4. Adolescents who disapprove of trying marijuana or hashish once or twice—8th graders (percent),SA,Race and ethnicity,3,78.296354614,0.63604365,"White only, not Hispanic or Latino",72.169605602,1.365310426,1.084893758,0.0223363,71.499516997,0.860856927,"White only, not Hispanic or Latino",62.144690917,1.745785891,1.150532989,0.0351645,0.065639231,1.575639414,Little or no detectable change
|
|||
|
SA-3.4,SA-3.4. Adolescents who disapprove of trying marijuana or hashish once or twice—8th graders (percent),SA,Geographic location,2,77.454761767,1.017826013,Nonmetropolitan,74.748846972,0.947191979,1.036200087,0.0189161,68.42850619,2.03591089,Nonmetropolitan,63.578428638,1.275071216,1.076284955,0.0386177,0.0400849,0.932170484,Little or no detectable change
|
|||
|
SA-3.5,SA-3.5. Adolescents who disapprove of trying marijuana or hashish once or twice—10th graders (percent),SA,Sex,2,63.732639174,1.005318313,Female,56.533989011,1.126654092,1.127333137,0.0286524,48.455236897,1.149471183,Male,47.8971373,1.330082071,1.011652045,0.0369481,-0.115681092,-2.474145789,Decrease
|
|||
|
SA-3.5,SA-3.5. Adolescents who disapprove of trying marijuana or hashish once or twice—10th graders (percent),SA,Race and ethnicity,3,63.213670582,1.353794109,"Black or African American only, not Hispanic or Latino",62.033264748,1.403122063,1.019028594,0.0317418,50.052086095,1.092924657,"White only, not Hispanic or Latino",47.052232262,1.86336926,1.063755824,0.0481063,0.0447272,0.776046451,Little or no detectable change
|
|||
|
SA-3.5,SA-3.5. Adolescents who disapprove of trying marijuana or hashish once or twice—10th graders (percent),SA,Geographic location,2,61.250926585,1.67444816,Nonmetropolitan,59.725223217,1.089896975,1.025545377,0.0337083,54.156655471,2.382894803,Nonmetropolitan,46.260874096,1.080147679,1.170679468,0.0583133,0.14513409,2.154766138,Increase
|
|||
|
SA-3.6,SA-3.6. Adolescents who disapprove of trying marijuana or hashish once or twice—12th graders (percent),SA,Sex,2,59.545479621,1.966376326,Female,49.865193201,2.246677364,1.194129127,0.066705555,41.146916631,1.996340249,Female,39.268169602,2.067209463,1.047844018,0.07501613,-0.146285109,-1.457247749,Little or no detectable change
|
|||
|
SA-3.6,SA-3.6. Adolescents who disapprove of trying marijuana or hashish once or twice—12th graders (percent),SA,Race and ethnicity,3,64.843686328,2.196605293,Hispanic or Latino,55.96761102,2.906244162,1.158593071,0.071832598,46.856498908,2.459040402,Hispanic or Latino,37.911947229,3.957963632,1.23592963,0.144415061,0.077336559,0.479476863,Little or no detectable change
|
|||
|
SA-3.6,SA-3.6. Adolescents who disapprove of trying marijuana or hashish once or twice—12th graders (percent),SA,Geographic location,2,60.633220532,2.270646037,Nonmetropolitan,53.171253567,1.838611,1.140338368,0.0581251,45.985173867,3.569942416,Nonmetropolitan,39.942358979,1.721677262,1.151288383,0.10222999,0.01095,0.093113231,Little or no detectable change
|
|||
|
SA-4.1,"SA-4.1. Adolescents perceiving great risk in consuming 5 or more alcoholic drinks once or twice a week (percent, ages 12-17)",SA,Sex,2,46.0765007,0.71301526,Female,39.0509231,0.68190988,1.179908106,0.0275297,46.6760965,0.74594053,Female,39.8953554,0.70110843,1.169963171,0.0277908,-0.009945,-0.254229205,Little or no detectable change
|
|||
|
SA-4.1,"SA-4.1. Adolescents perceiving great risk in consuming 5 or more alcoholic drinks once or twice a week (percent, ages 12-17)",SA,Race and ethnicity,6,51.6121034,1.20658248,"Black or African American only, not Hispanic or Latino",44.87851774,2.253397705,1.150040287,0.063696828,54.6926277,1.27389087,"Black or African American only, not Hispanic or Latino",44.64010758,2.192284655,1.22519032,0.066593582,0.075150034,0.815500841,Little or no detectable change
|
|||
|
SA-4.1,"SA-4.1. Adolescents perceiving great risk in consuming 5 or more alcoholic drinks once or twice a week (percent, ages 12-17)",SA,Family income,5,46.4831181,1.07241408,Below the poverty threshold (<100%),40.9457066,1.396343962,1.135237903,0.0467415,47.8884519,1.11064896,Below the poverty threshold (<100%),41.636334125,1.337455951,1.15016014,0.0455692,0.0149222,0.228592507,Little or no detectable change
|
|||
|
SA-4.1,"SA-4.1. Adolescents perceiving great risk in consuming 5 or more alcoholic drinks once or twice a week (percent, ages 12-17)",SA,Geographic location,2,42.9923494,0.54582498,Metropolitan,39.1882171,1.24803463,1.09707337,0.0376126,43.8296067,0.55526515,Metropolitan,39.5778736,1.13350389,1.107427022,0.034681,0.0103537,0.202372644,Little or no detectable change
|
|||
|
SA-4.2,"SA-4.2. Adolescents perceiving great risk in smoking marijuana once a month (percent, ages 12-17)",SA,Sex,2,29.0889305,0.65403643,Female,25.5022077,0.59227472,1.14064362,0.0368713,23.7288414,0.61302421,Female,21.8509748,0.58080586,1.085939717,0.0402522,-0.054704,-1.002143106,Little or no detectable change
|
|||
|
SA-4.2,"SA-4.2. Adolescents perceiving great risk in smoking marijuana once a month (percent, ages 12-17)",SA,Race and ethnicity,6,31.1682283,2.18546237,Asian only,26.17549686,1.58023311,1.190740656,0.110175327,32.7128063,2.24544446,Asian only,20.94815176,1.433727946,1.561608235,0.151370339,0.370867579,1.980911417,Increase
|
|||
|
SA-4.2,"SA-4.2. Adolescents perceiving great risk in smoking marijuana once a month (percent, ages 12-17)",SA,Family income,5,28.3774191,1.17619749,At 400%-599% of the poverty threshold,26.990208225,1.204511925,1.05139682,0.064036898,25.6540021,0.94003357,Below the poverty threshold (<100%),21.867122175,1.12738526,1.173176877,0.074205008,0.121780057,1.242452652,Little or no detectable change
|
|||
|
SA-4.2,"SA-4.2. Adolescents perceiving great risk in smoking marijuana once a month (percent, ages 12-17)",SA,Geographic location,2,31.7303302,1.18501827,Nonmetropolitan,26.5978067,0.49360991,1.192967922,0.0497508,24.2681688,0.94097683,Nonmetropolitan,22.528338,0.45375847,1.077228547,0.0470679,-0.115739376,-1.689935956,Little or no detectable change
|
|||
|
SA-4.3,"SA-4.3. Adolescents perceiving great risk in using cocaine once a month (percent, ages 12-17)",SA,Sex,2,58.3515616,0.67723049,Male,55.0075036,0.71500596,1.060792761,0.0184851,54.5034786,0.73657904,Male,53.8978596,0.72319672,1.01123642,0.0192581,-0.049556,-1.856454793,Little or no detectable change
|
|||
|
SA-4.3,"SA-4.3. Adolescents perceiving great risk in using cocaine once a month (percent, ages 12-17)",SA,Race and ethnicity,7,59.4260881,1.25626862,"Black or African American only, not Hispanic or Latino",54.960225833,3.152629243,1.081256258,0.066100946,59.0242816,1.34970828,"Black or African American only, not Hispanic or Latino",51.276994283,2.979935788,1.151087002,0.071887133,0.069830744,0.715053631,Little or no detectable change
|
|||
|
SA-4.3,"SA-4.3. Adolescents perceiving great risk in using cocaine once a month (percent, ages 12-17)",SA,Family income,5,59.4950348,1.38703893,At or above 600% of the poverty threshold,56.0359804,1.308929008,1.061729167,0.0350395,56.4422573,1.09240036,Below the poverty threshold (<100%),53.416436725,1.364516988,1.056645871,0.0338643,-0.0050833,-0.104316773,Little or no detectable change
|
|||
|
SA-4.3,"SA-4.3. Adolescents perceiving great risk in using cocaine once a month (percent, ages 12-17)",SA,Geographic location,2,57.0315175,1.13812444,Nonmetropolitan,56.6615953,0.54761661,1.006528623,0.022318,57.2557446,1.17216255,Nonmetropolitan,53.7017988,0.57247314,1.066179269,0.0246091,0.0596506,1.79551806,Little or no detectable change
|
|||
|
SA-8.1,"SA-8.1. Persons who needed and received illicit drug treatment at a specialty facility in the past year (percent, ages 12 years and over)",SA,Sex,2,18.7052899,1.45527844,Male,17.5165553,1.59502621,1.067863491,0.127896416,17.4649037,1.53015004,Female,14.9252122,1.3541873,1.170161165,0.147589854,0.102297674,0.523810191,Little or no detectable change
|
|||
|
SA-8.1,"SA-8.1. Persons who needed and received illicit drug treatment at a specialty facility in the past year (percent, ages 12 years and over)",SA,Race and ethnicity,4,19.4517189,4.45074408,Two or more races,18.2889049,3.095366839,1.063580297,0.30269826,19.3260708,1.40275963,"White only, not Hispanic or Latino",10.046701957,2.928769028,1.923623382,0.577886932,0.860043086,1.318347309,Little or no detectable change
|
|||
|
SA-8.1,"SA-8.1. Persons who needed and received illicit drug treatment at a specialty facility in the past year (percent, ages 12 years and over)",SA,Family income,5,22.0070021,2.28272743,Below the poverty threshold (<100%),15.4224712,2.731503804,1.426943958,0.292881759,19.4827183,2.43462989,At 100%-199% of the poverty threshold,13.9869488,2.633314489,1.392921257,0.314754776,-0.034023,-0.079133199,Little or no detectable change
|
|||
|
SA-8.1,"SA-8.1. Persons who needed and received illicit drug treatment at a specialty facility in the past year (percent, ages 12 years and over)",SA,Geographic location,2,19.2568873,2.73406554,Nonmetropolitan,18.1305594,1.18411178,1.062123174,0.165988307,19.9629729,2.90794288,Nonmetropolitan,15.3552484,1.09275257,1.300074892,0.210769555,0.237951717,0.886942,Little or no detectable change
|
|||
|
SA-8.2,"SA-8.2. Persons who needed and received illicit drug treatment, alcohol treatment, or both at a specialty facility in the past year (percent, ages 12 years and over)",SA,Sex,2,11.0837522,0.74800022,Male,10.3825936,0.90254038,1.067532124,0.11748142,11.3938216,0.89641082,Female,10.929975,0.89205512,1.042438029,0.118172515,-0.025094,-0.150594797,Little or no detectable change
|
|||
|
SA-8.2,"SA-8.2. Persons who needed and received illicit drug treatment, alcohol treatment, or both at a specialty facility in the past year (percent, ages 12 years and over)",SA,Race and ethnicity,4,14.4083465,1.84872429,"Black or African American only, not Hispanic or Latino",9.368168833,2.433569134,1.538010977,0.445608562,12.2543052,0.78036333,"White only, not Hispanic or Latino",7.250279197,2.249874641,1.690183904,0.535420279,0.152172927,0.218453126,Little or no detectable change
|
|||
|
SA-8.2,"SA-8.2. Persons who needed and received illicit drug treatment, alcohol treatment, or both at a specialty facility in the past year (percent, ages 12 years and over)",SA,Educational attainment,5,18.5995657,1.94867503,High school graduate,9.670963262,1.964816353,1.923238171,0.439633014,23.919636,3.53414741,Less than high school,9.811342352,1.593591715,2.437957533,0.535306247,0.514719362,0.743065029,Little or no detectable change
|
|||
|
SA-8.2,"SA-8.2. Persons who needed and received illicit drug treatment, alcohol treatment, or both at a specialty facility in the past year (percent, ages 12 years and over)",SA,Family income,5,17.3720151,1.59093173,Below the poverty threshold (<100%),8.767273625,1.401710328,1.981461495,0.365086567,16.7129053,1.47703711,Below the poverty threshold (<100%),9.588454932,1.59554397,1.743023815,0.328412384,-0.238437679,-0.485554128,Little or no detectable change
|
|||
|
SA-8.2,"SA-8.2. Persons who needed and received illicit drug treatment, alcohol treatment, or both at a specialty facility in the past year (percent, ages 12 years and over)",SA,Geographic location,2,12.9036197,1.57616924,Nonmetropolitan,10.5409189,0.61160961,1.22414562,0.165540855,13.5639017,1.69437848,Nonmetropolitan,10.7430814,0.71069339,1.262570877,0.178469024,0.0384253,0.157853566,Little or no detectable change
|
|||
|
SA-8.3,"SA-8.3. Persons who needed and received alcohol treatment at a specialty facility in the past year (percent, ages 12 years and over)",SA,Sex,2,8.73216142,0.81231422,Male,7.36625655,0.90515818,1.185427274,0.182698157,9.28740227,1.04800662,Male,8.34017233,0.94133125,1.113574385,0.177726769,-0.071852889,-0.281905213,Little or no detectable change
|
|||
|
SA-8.3,"SA-8.3. Persons who needed and received alcohol treatment at a specialty facility in the past year (percent, ages 12 years and over)",SA,Race and ethnicity,3,12.8909247,2.32020953,"Black or African American only, not Hispanic or Latino",7.162318775,1.754810122,1.799825602,0.547169163,9.70859462,0.8739608,"White only, not Hispanic or Latino",7.28558725,2.934385574,1.332575438,0.54995791,-0.467250164,-0.602290656,Little or no detectable change
|
|||
|
SA-8.3,"SA-8.3. Persons who needed and received alcohol treatment at a specialty facility in the past year (percent, ages 12 years and over)",SA,Educational attainment,5,14.3263106,2.15886193,High school graduate,7.695166425,2.103744251,1.861728494,0.581168163,19.2888424,4.41882108,Less than high school,8.019851537,1.733728979,2.405137091,0.757577957,0.543408597,0.569121644,Little or no detectable change
|
|||
|
SA-8.3,"SA-8.3. Persons who needed and received alcohol treatment at a specialty facility in the past year (percent, ages 12 years and over)",SA,Family income,5,15.0637664,1.94972526,Below the poverty threshold (<100%),6.661015005,1.543398161,2.26148213,0.600210496,14.5278292,1.92085692,Below the poverty threshold (<100%),7.83451724,1.829391733,1.854336235,0.49759154,-0.407145895,-0.522218024,Little or no detectable change
|
|||
|
SA-8.3,"SA-8.3. Persons who needed and received alcohol treatment at a specialty facility in the past year (percent, ages 12 years and over)",SA,Geographic location,2,9.87168875,1.82524232,Nonmetropolitan,8.02939062,0.65519559,1.229444327,0.24847335,10.2096738,1.72470458,Nonmetropolitan,8.74929624,0.83786902,1.166913717,0.226596505,-0.06253061,-0.185947438,Little or no detectable change
|
|||
|
SA-11,"SA-11. Cirrhosis deaths (age adjusted, per 100,000 population)",SA,Sex,2,5.869081166,0.0591173,Female,12.655971907,0.092645339,2.156380453,0.0268506,7.630089367,0.063601842,Female,14.485620643,0.091301732,1.898486367,0.0198399,-0.257894086,-7.724783564,Decrease
|
|||
|
SA-11,"SA-11. Cirrhosis deaths (age adjusted, per 100,000 population)",SA,Race and ethnicity,5,3.273517689,0.168460016,Asian or Pacific Islander,13.351727674,0.555001171,4.078709494,0.269817024,3.679095482,0.135655384,Asian or Pacific Islander,14.76978879,0.484101294,4.014516302,0.198051831,-0.064193192,-0.191791799,Little or no detectable change
|
|||
|
SA-11,"SA-11. Cirrhosis deaths (age adjusted, per 100,000 population)",SA,Geographic location,2,8.968779139,0.0583669,Metropolitan,9.755081005,0.137067872,1.087671003,0.0168424,10.554661772,0.0585268,Metropolitan,12.991429704,0.15597103,1.230871248,0.0162775,0.143200244,6.113729298,Increase
|
|||
|
SA-12,"SA-12. Drug-induced deaths (age adjusted, per 100,000 population)",SA,Sex,2,9.344048401,0.078301872,Female,15.971278343,0.103977149,1.709246106,0.0181378,15.167686037,0.098213065,Female,30.492578253,0.140338359,2.010364546,0.0159706,0.30111844,12.45993382,Increase
|
|||
|
SA-12,"SA-12. Drug-induced deaths (age adjusted, per 100,000 population)",SA,Race and ethnicity,5,1.9296315,0.111996698,Asian or Pacific Islander,10.939640397,0.355506026,5.669289912,0.37711446,3.775399247,0.130908557,Asian or Pacific Islander,19.876078879,0.402784396,5.264629667,0.211435965,-0.404660245,-0.935970352,Little or no detectable change
|
|||
|
SA-12,"SA-12. Drug-induced deaths (age adjusted, per 100,000 population)",SA,Geographic location,2,12.636036997,0.070249185,Metropolitan,12.889149791,0.17388212,1.020031027,0.0148835,21.357179833,0.230889037,Nonmetropolitan,23.072128471,0.092297022,1.080298459,0.0124529,0.0602674,3.105613911,Increase
|
|||
|
SA-13.1,"SA-13.1. Adolescents using alcohol or illicit drugs in past 30 days (percent, ages 12-17)",SA,Sex,2,13.771057,0.45925403,Male,14.6397314,0.49996606,1.063079719,0.0507445,12.7693714,0.45373994,Male,13.634073,0.47634128,1.067716849,0.0532068,0.00463713,0.063068531,Little or no detectable change
|
|||
|
SA-13.1,"SA-13.1. Adolescents using alcohol or illicit drugs in past 30 days (percent, ages 12-17)",SA,Race and ethnicity,6,6.11373192,1.06543549,Asian only,14.53073898,1.460789031,2.376738001,0.478168999,6.05975947,1.10282969,Asian only,13.19354524,1.274940878,2.177239098,0.448634229,-0.199498903,-0.304261894,Little or no detectable change
|
|||
|
SA-13.1,"SA-13.1. Adolescents using alcohol or illicit drugs in past 30 days (percent, ages 12-17)",SA,Family income,5,12.8831609,0.76512789,Below the poverty threshold (<100%),14.9349003,0.98181228,1.159257454,0.102702757,11.149695,0.6493006,Below the poverty threshold (<100%),14.001559625,0.967170714,1.255779609,0.113457302,0.096522155,0.630709992,Little or no detectable change
|
|||
|
SA-13.1,"SA-13.1. Adolescents using alcohol or illicit drugs in past 30 days (percent, ages 12-17)",SA,Geographic location,2,14.0268842,0.78450871,Nonmetropolitan,14.2226066,0.38208446,1.013953377,0.062912126,13.1746497,0.36284318,Metropolitan,13.3098231,0.79424872,1.010260113,0.066397064,-0.0036933,-0.040377,Little or no detectable change
|
|||
|
SA-13.2,"SA-13.2. Adolescents using marijuana in past 30 days (percent, ages 12-17)",SA,Sex,2,6.0661,0.3164,Female,7.3069,0.3006,1.204546579,0.080018215,6.37327973,0.34583951,Female,6.93296637,0.34850763,1.08781768,0.080465203,-0.116728899,-1.028635564,Little or no detectable change
|
|||
|
SA-13.2,"SA-13.2. Adolescents using marijuana in past 30 days (percent, ages 12-17)",SA,Race and ethnicity,6,1.0406,0.3503,Asian only,8.02836,1.36377637,7.715125889,2.909097161,3.0645547,0.82731488,Asian only,7.670001804,1.048122754,2.502811193,0.757296182,-5.212314696,-1.73394076,Little or no detectable change
|
|||
|
SA-13.2,"SA-13.2. Adolescents using marijuana in past 30 days (percent, ages 12-17)",SA,Family income,5,6.3213,0.4782,At 400%-599% of the poverty threshold,7.5275,0.792320571,1.19081518,0.154355395,5.92951626,0.4860912,At 100%-199% of the poverty threshold,6.968761125,0.679214683,1.175266383,0.149679195,-0.015549,-0.07231651,Little or no detectable change
|
|||
|
SA-13.2,"SA-13.2. Adolescents using marijuana in past 30 days (percent, ages 12-17)",SA,Geographic location,2,6.23731982,0.59788925,Nonmetropolitan,7.15984351,0.26687292,1.147903862,0.118060318,5.83437344,0.52677019,Nonmetropolitan,6.79387259,0.27867249,1.164456245,0.115476851,0.0165524,0.100228897,Little or no detectable change
|
|||
|
SA-13.3,"SA-13.3. Adults using any illicit drugs in the past 30 days (percent, ages 18 and over)",SA,Sex,2,7.82295375,0.20515544,Female,12.857488,0.2969123,1.64355925,0.0574307,9.63172622,0.25127215,Female,14.5829648,0.34613221,1.514055162,0.0534002,-0.129504088,-1.651392589,Little or no detectable change
|
|||
|
SA-13.3,"SA-13.3. Adults using any illicit drugs in the past 30 days (percent, ages 18 and over)",SA,Race and ethnicity,7,4.15263274,0.56935156,Asian only,11.805287353,1.131239691,2.842844068,0.475533123,7.02910157,0.89254079,Asian only,13.53211903,1.314574691,1.92515628,0.307787297,-0.917687788,-1.620070575,Little or no detectable change
|
|||
|
SA-13.3,"SA-13.3. Adults using any illicit drugs in the past 30 days (percent, ages 18 and over)",SA,Educational attainment,5,5.33335586,0.45502858,Advanced degree,8.762419167,0.475285651,1.642946655,0.166101843,7.56700824,0.64155761,Advanced degree,10.579004918,0.558375097,1.398043267,0.139623344,-0.244903388,-1.128640968,Little or no detectable change
|
|||
|
SA-13.3,"SA-13.3. Adults using any illicit drugs in the past 30 days (percent, ages 18 and over)",SA,Family income,5,7.7228669,0.391012,At or above 600% of the poverty threshold,10.904942348,0.469819279,1.412032926,0.093872023,9.35950921,0.51915125,At or above 600% of the poverty threshold,12.870620385,0.534531479,1.375138386,0.095287371,-0.036895,-0.275827164,Little or no detectable change
|
|||
|
SA-13.3,"SA-13.3. Adults using any illicit drugs in the past 30 days (percent, ages 18 and over)",SA,Geographic location,2,8.52472408,0.38978479,Nonmetropolitan,10.526059,0.20514961,1.234768293,0.0613735,9.52896923,0.43454028,Nonmetropolitan,12.4427375,0.25827826,1.305780006,0.065424819,0.071011713,0.791607451,Little or no detectable change
|
|||
|
SA-14.1,SA-14.1. Binge drinking in past 2 weeks—High school seniors (percent),SA,Sex,2,20.204004364,0.784558064,Female,30.533831989,1.600923656,1.511276252,0.098603497,11.910812413,0.880530325,Female,15.914637904,0.991820655,1.336150495,0.129193661,-0.175125757,-1.077545955,Little or no detectable change
|
|||
|
SA-14.1,SA-14.1. Binge drinking in past 2 weeks—High school seniors (percent),SA,Race and ethnicity,3,12.013252059,0.928811761,"Black or African American only, not Hispanic or Latino",25.797995799,1.329873393,2.147461459,0.199552803,7.405710375,0.857835168,"Black or African American only, not Hispanic or Latino",15.544519612,1.19804907,2.098991025,0.292036667,-0.04847,-0.137036597,Little or no detectable change
|
|||
|
SA-14.1,SA-14.1. Binge drinking in past 2 weeks—High school seniors (percent),SA,Geographic location,2,24.679768788,1.351658161,Metropolitan,27.210065106,1.529468912,1.102525122,0.086525721,12.974605995,0.986838361,Metropolitan,17.094015665,1.023806622,1.317497862,0.127546715,0.21497274,1.394784489,Little or no detectable change
|
|||
|
SA-14.3,"SA-14.3. Binge drinking in past month—Adults (percent, ages 18 and over)",SA,Sex,2,21.9714392,0.35603507,Female,32.1396395,0.44139529,1.462791727,0.0310718,22.1849459,0.35090514,Female,31.0764535,0.41183853,1.400790141,0.0289056,-0.062002,-1.460989506,Little or no detectable change
|
|||
|
SA-14.3,"SA-14.3. Binge drinking in past month—Adults (percent, ages 18 and over)",SA,Race and ethnicity,7,15.2235474,1.06383197,Asian only,26.647635017,1.715255183,1.750422179,0.166304396,16.0238542,1.10425826,Asian only,26.631575817,2.044508924,1.66199564,0.171457272,-0.088426539,-0.37020027,Little or no detectable change
|
|||
|
SA-14.3,"SA-14.3. Binge drinking in past month—Adults (percent, ages 18 and over)",SA,Educational attainment,5,20.2956937,0.79297382,Advanced degree,25.804083175,0.797195603,1.27140681,0.063328254,22.1048029,0.75725958,Advanced degree,25.549487,0.808522391,1.155834192,0.0539047,-0.115572618,-1.389701548,Little or no detectable change
|
|||
|
SA-14.3,"SA-14.3. Binge drinking in past month—Adults (percent, ages 18 and over)",SA,Family income,5,24.1708014,0.5672888,At 100%-199% of the poverty threshold,27.3887853,0.770308676,1.133135176,0.0415083,23.4397905,0.58092462,At 100%-199% of the poverty threshold,26.959239975,0.74198457,1.150148504,0.0425977,0.0170133,0.286049404,Little or no detectable change
|
|||
|
SA-14.3,"SA-14.3. Binge drinking in past month—Adults (percent, ages 18 and over)",SA,Geographic location,2,24.0192151,0.69768159,Nonmetropolitan,27.329994,0.31920233,1.137838763,0.0356223,24.8634786,0.65761036,Nonmetropolitan,26.7497196,0.31490681,1.075863922,0.0311468,-0.061975,-1.309728897,Little or no detectable change
|
|||
|
SA-14.4,"SA-14.4. Binge drinking in past month—Adolescents (percent, ages 12-17)",SA,Sex,2,5.77137539,0.31797747,Male,5.80984261,0.32322571,1.006665174,0.078820574,4.33768883,0.29265702,Male,5.05767469,0.30588302,1.16598375,0.10564672,0.159318577,1.208697448,Little or no detectable change
|
|||
|
SA-14.4,"SA-14.4. Binge drinking in past month—Adolescents (percent, ages 12-17)",SA,Race and ethnicity,7,2.69078124,0.73921057,Asian only,6.008167678,1.620677904,2.232871104,0.859680582,2.14815762,0.36631364,"Black or African American only, not Hispanic or Latino",4.522611502,1.404240911,2.105344347,0.745793572,-0.127526757,-0.112052886,Little or no detectable change
|
|||
|
SA-14.4,"SA-14.4. Binge drinking in past month—Adolescents (percent, ages 12-17)",SA,Family income,5,4.28191768,0.40627257,Below the poverty threshold (<100%),6.43370548,0.661280001,1.502528998,0.210176304,2.99613914,0.37520626,Below the poverty threshold (<100%),5.318760177,0.61964709,1.775204665,0.30363415,0.272675667,0.738397989,Little or no detectable change
|
|||
|
SA-14.4,"SA-14.4. Binge drinking in past month—Adolescents (percent, ages 12-17)",SA,Geographic location,2,5.64945033,0.24853169,Metropolitan,6.72821579,0.56468388,1.190950517,0.112852705,4.66147823,0.23791492,Metropolitan,4.87070676,0.5433769,1.044884588,0.128187379,-0.146065929,-0.855258807,Little or no detectable change
|
|||
|
SA-15,"SA-15. Adults who drank excessively in past 30 days (percent, ages 18 and over)",SA,Sex,2,23.1279604,0.37054335,Female,32.8033608,0.44935241,1.418342138,0.0298975,23.3909699,0.37119242,Female,31.6375825,0.414804,1.352555394,0.0278419,-0.065786744,-1.610297937,Little or no detectable change
|
|||
|
SA-15,"SA-15. Adults who drank excessively in past 30 days (percent, ages 18 and over)",SA,Race and ethnicity,7,15.4374194,1.07261014,Asian only,27.2060805,1.738463106,1.7623464,0.166360451,16.9334746,1.18158988,Asian only,27.220109433,2.066640997,1.607473367,0.165759797,-0.154873033,-0.659469534,Little or no detectable change
|
|||
|
SA-15,"SA-15. Adults who drank excessively in past 30 days (percent, ages 18 and over)",SA,Educational attainment,5,21.3344936,0.81640132,Advanced degree,26.7280651,0.813121914,1.252809914,0.0612449,23.3128012,0.88386301,Less than high school,26.440178475,0.799166047,1.134148498,0.0549914,-0.118661416,-1.441634047,Little or no detectable change
|
|||
|
SA-15,"SA-15. Adults who drank excessively in past 30 days (percent, ages 18 and over)",SA,Family income,5,24.8144371,0.58369461,At 100%-199% of the poverty threshold,28.405129375,0.789035192,1.144701742,0.0416664,24.0993239,0.59431197,At 100%-199% of the poverty threshold,27.9044405,0.762065322,1.157893085,0.0426065,0.0131913,0.221354757,Little or no detectable change
|
|||
|
SA-15,"SA-15. Adults who drank excessively in past 30 days (percent, ages 18 and over)",SA,Geographic location,2,24.8070791,0.7241313,Nonmetropolitan,28.2684403,0.32871571,1.139531187,0.0358057,25.8149739,0.66298642,Nonmetropolitan,27.6420173,0.32622618,1.070774559,0.0302645,-0.068756628,-1.466567588,Little or no detectable change
|
|||
|
SA-18.1,SA-18.1. Steroid use among 8th graders in the past year (percent),SA,Sex,2,0.461030376,0.09852888,Female,1.020557934,0.148880698,2.213645755,0.572797052,0.558866439,0.104379441,Male,0.659112424,0.133661597,1.179373778,0.32514568,-1.034271977,-1.57029731,Little or no detectable change
|
|||
|
SA-18.1,SA-18.1. Steroid use among 8th graders in the past year (percent),SA,Race and ethnicity,3,0.699174265,0.078108416,"White only, not Hispanic or Latino",0.79856698,0.24193966,1.142157285,0.368811522,0.561248564,0.082175358,"White only, not Hispanic or Latino",0.652709,0.211466087,1.162958878,0.413467267,0.0208016,0.0375443,Little or no detectable change
|
|||
|
SA-18.1,SA-18.1. Steroid use among 8th graders in the past year (percent),SA,Geographic location,2,0.751119915,0.110644415,Metropolitan,0.878615354,0.145077164,1.169740458,0.258837224,0.62190682,0.080730346,Metropolitan,0.705803389,0.228785189,1.134902152,0.396279521,-0.034838,-0.073603743,Little or no detectable change
|
|||
|
SA-18.2,SA-18.2. Steroid use among 10th graders in the past year (percent),SA,Sex,2,0.370462604,0.06315652,Female,1.169644771,0.165437896,3.157254633,0.699384018,0.594061741,0.107567754,Female,0.599330397,0.102468092,1.008868869,0.251242825,-2.148385764,-2.890946757,Decrease
|
|||
|
SA-18.2,SA-18.2. Steroid use among 10th graders in the past year (percent),SA,Race and ethnicity,3,0.670042898,0.170461684,"Black or African American only, not Hispanic or Latino",1.027026274,0.299013502,1.532776896,0.592625625,0.60575103,0.119930023,Hispanic or Latino,0.636423894,0.148994727,1.05063609,0.32213082,-0.482140806,-0.714793983,Little or no detectable change
|
|||
|
SA-18.2,SA-18.2. Steroid use among 10th graders in the past year (percent),SA,Geographic location,2,0.724591277,0.160668236,Nonmetropolitan,0.8099452,0.102598561,1.117795958,0.285450119,0.616690387,0.086762291,Metropolitan,0.729313192,0.225736573,1.18262455,0.40208536,0.064828592,0.131469654,Little or no detectable change
|
|||
|
SA-18.3,SA-18.3. Steroid use among 12th graders in the past year (percent),SA,Sex,2,0.436562364,0.128903954,Female,2.478323884,0.324033671,5.676906877,1.833205242,0.447732324,0.12880599,Female,1.516337382,0.2889028,3.386705181,1.168600976,-2.290201696,-1.053451344,Little or no detectable change
|
|||
|
SA-18.3,SA-18.3. Steroid use among 12th graders in the past year (percent),SA,Race and ethnicity,3,0.985375426,0.244617565,Hispanic or Latino,1.52498516,0.411298802,1.54761842,0.567300526,0.836037667,0.133139704,"White only, not Hispanic or Latino",1.72446023,0.653977695,2.062658535,0.848404591,0.515040115,0.504645438,Little or no detectable change
|
|||
|
SA-18.3,SA-18.3. Steroid use among 12th graders in the past year (percent),SA,Geographic location,2,1.144159808,0.328454477,Nonmetropolitan,1.585576242,0.202052356,1.385799633,0.435256331,0.937516655,0.314949209,Nonmetropolitan,1.158778444,0.19088155,1.236008382,0.462456157,-0.149791251,-0.235865772,Little or no detectable change
|
|||
|
SA-19.1,"SA-19.1. Persons with nonmedical use of prescription pain relievers in the past year (percent, ages 12 years and over)",SA,Sex,2,4.01407166,0.13891289,Female,5.3369391,0.17354968,1.329557505,0.063137416,3.40149133,0.13708636,Female,3.88071407,0.15867594,1.140886068,0.06550012,-0.188671436,-2.073863658,Decrease
|
|||
|
SA-19.1,"SA-19.1. Persons with nonmedical use of prescription pain relievers in the past year (percent, ages 12 years and over)",SA,Race and ethnicity,7,1.88578993,0.38568037,Asian only,5.399794852,0.970457574,2.863412709,0.779604993,1.39027849,0.22567152,Asian only,4.640667843,0.929801901,3.337941194,0.860723374,0.474528486,0.408616683,Little or no detectable change
|
|||
|
SA-19.1,"SA-19.1. Persons with nonmedical use of prescription pain relievers in the past year (percent, ages 12 years and over)",SA,Educational attainment,5,2.77035695,0.3149208,Advanced degree,4.42081115,0.343705898,1.59575507,0.219766696,2.09647101,0.26926924,Advanced degree,3.594616975,0.318891087,1.714603712,0.267647042,0.118848641,0.343183238,Little or no detectable change
|
|||
|
SA-19.1,"SA-19.1. Persons with nonmedical use of prescription pain relievers in the past year (percent, ages 12 years and over)",SA,Family income,5,3.44299339,0.24811112,At or above 600% of the poverty threshold,4.94498445,0.294593613,1.4362457,0.134287892,2.59853122,0.19189755,At or above 600% of the poverty threshold,3.957172277,0.296452797,1.522849619,0.16019553,0.086603919,0.414302421,Little or no detectable change
|
|||
|
SA-19.1,"SA-19.1. Persons with nonmedical use of prescription pain relievers in the past year (percent, ages 12 years and over)",SA,Geographic location,2,4.5550791,0.26765928,Nonmetropolitan,4.67110357,0.12536993,1.02547145,0.066245516,3.62309507,0.1158934,Metropolitan,3.69867431,0.23109936,1.020860408,0.071657954,-0.004611,-0.04725,Little or no detectable change
|
|||
|
SA-19.2,"SA-19.2. Persons with nonmedical use of prescription tranquilizers in the past year (percent, ages 12 years and over)",SA,Sex,2,2.10407874,0.09487059,Female,2.42616967,0.12054737,1.153079314,0.077365831,2.04101209,0.10203521,Female,2.15737954,0.12611516,1.057014581,0.081304508,-0.096064733,-0.855952108,Little or no detectable change
|
|||
|
SA-19.2,"SA-19.2. Persons with nonmedical use of prescription tranquilizers in the past year (percent, ages 12 years and over)",SA,Race and ethnicity,7,0.65338291,0.16414182,Asian only,2.151953293,0.394624596,3.293556137,1.024390287,0.67570765,0.15902791,Asian only,2.008204382,0.476544225,2.972001844,0.993290682,-0.321554294,-0.225353979,Little or no detectable change
|
|||
|
SA-19.2,"SA-19.2. Persons with nonmedical use of prescription tranquilizers in the past year (percent, ages 12 years and over)",SA,Educational attainment,5,1.27341874,0.19945846,Advanced degree,1.901501,0.228181578,1.493225237,0.294638163,1.50421233,0.16999681,High school graduate,1.814422615,0.284140665,1.206227724,0.232948925,-0.286997513,-0.764100105,Little or no detectable change
|
|||
|
SA-19.2,"SA-19.2. Persons with nonmedical use of prescription tranquilizers in the past year (percent, ages 12 years and over)",SA,Family income,5,1.70897336,0.16237553,At or above 600% of the poverty threshold,2.377169013,0.204527418,1.390992433,0.178297567,1.69920696,0.180588,At 400%-599% of the poverty threshold,2.222575685,0.223201955,1.30800764,0.191256193,-0.082984794,-0.317372324,Little or no detectable change
|
|||
|
SA-19.2,"SA-19.2. Persons with nonmedical use of prescription tranquilizers in the past year (percent, ages 12 years and over)",SA,Geographic location,2,2.22348396,0.20693845,Nonmetropolitan,2.2660123,0.08473626,1.019126893,0.102219334,1.66667801,0.13831231,Nonmetropolitan,2.1700191,0.09496951,1.302002599,0.122153466,0.282875705,1.775959994,Little or no detectable change
|
|||
|
SA-19.3,"SA-19.3. Persons with nonmedical use of prescription stimulants in the past year (percent, ages 12 years and over)",SA,Sex,2,1.6120289,0.07539276,Female,2.33312499,0.09984814,1.447322061,0.091751704,1.62928001,0.0784501,Female,2.1175781,0.09728056,1.299701762,0.086494927,-0.147620299,-1.170714411,Little or no detectable change
|
|||
|
SA-19.3,"SA-19.3. Persons with nonmedical use of prescription stimulants in the past year (percent, ages 12 years and over)",SA,Race and ethnicity,7,0.6595608,0.09075454,"Black or African American only, not Hispanic or Latino",1.90234785,0.419053999,2.884264574,0.749119223,0.8903762,0.11469537,"Black or African American only, not Hispanic or Latino",1.655498968,0.404511239,1.85932527,0.513583692,-1.024939304,-1.128456724,Little or no detectable change
|
|||
|
SA-19.3,"SA-19.3. Persons with nonmedical use of prescription stimulants in the past year (percent, ages 12 years and over)",SA,Educational attainment,5,0.64335864,0.12188969,Less than high school,1.222078273,0.168493783,1.899528811,0.445089789,0.33777806,0.08203667,Less than high school,1.374124025,0.176269201,4.068126938,1.117378231,2.168598127,1.803013544,Little or no detectable change
|
|||
|
SA-19.3,"SA-19.3. Persons with nonmedical use of prescription stimulants in the past year (percent, ages 12 years and over)",SA,Family income,5,1.7522291,0.09908367,At 200%-399% of the poverty threshold,2.031418698,0.183919008,1.159333958,0.123753543,1.56282437,0.12876237,At 100%-199% of the poverty threshold,1.935137343,0.162561024,1.238230846,0.145696524,0.078896889,0.412725446,Little or no detectable change
|
|||
|
SA-19.3,"SA-19.3. Persons with nonmedical use of prescription stimulants in the past year (percent, ages 12 years and over)",SA,Geographic location,2,1.71886523,0.1515605,Nonmetropolitan,2.0000976,0.07258526,1.163615137,0.110951858,1.31434356,0.11521495,Nonmetropolitan,1.95911707,0.07360161,1.490566949,0.142156907,0.326951812,1.813075208,Little or no detectable change
|
|||
|
SA-19.4,"SA-19.4. Persons with nonmedical use of prescription sedatives in the past year (percent, ages 12 years and over)",SA,Sex,2,0.45944323,0.0527589,Male,0.66293185,0.06514729,1.442902641,0.218082399,0.3395601,0.0405222,Female,0.45588995,0.0571544,1.342589868,0.232383612,-0.100312773,-0.314767909,Little or no detectable change
|
|||
|
SA-19.4,"SA-19.4. Persons with nonmedical use of prescription sedatives in the past year (percent, ages 12 years and over)",SA,Race and ethnicity,7,0.12735884,0.06288813,Asian only,0.509774985,0.23442814,4.002666678,2.700842717,0.09879646,0.0358375,"Black or African American only, not Hispanic or Latino",0.450182918,0.20281453,4.556670536,2.635572887,0.554003858,0.146806627,Little or no detectable change
|
|||
|
SA-19.4,"SA-19.4. Persons with nonmedical use of prescription sedatives in the past year (percent, ages 12 years and over)",SA,Educational attainment,5,0.25986075,0.09125164,Less than high school,0.620014033,0.148214965,2.385947214,1.013552655,0.15522074,0.0613877,Less than high school,0.428092968,0.107023908,2.757962419,1.290390635,0.372015205,0.226720684,Little or no detectable change
|
|||
|
SA-19.4,"SA-19.4. Persons with nonmedical use of prescription sedatives in the past year (percent, ages 12 years and over)",SA,Family income,5,0.45362465,0.09437012,At 400%-599% of the poverty threshold,0.58148846,0.110408156,1.281871389,0.361046724,0.28508579,0.0550692,Below the poverty threshold (<100%),0.414179598,0.090967623,1.45282442,0.424941465,0.170953031,0.306581188,Little or no detectable change
|
|||
|
SA-19.4,"SA-19.4. Persons with nonmedical use of prescription sedatives in the past year (percent, ages 12 years and over)",SA,Geographic location,2,0.52614518,0.09540789,Nonmetropolitan,0.57038672,0.0461002,1.084086183,0.215223827,0.38355352,0.035974,Metropolitan,0.46989187,0.11297255,1.22510118,0.316160998,0.141014997,0.368700905,Little or no detectable change
|
|||
|
SA-19.5,"SA-19.5. Persons with nonmedical use of any prescription psychotherapeutic drug in the past year (percent, ages 12 years and over)",SA,Sex,2,6.39389259,0.17029774,Female,7.80133387,0.21355544,1.220122759,0.0466007,5.84054831,0.16898983,Female,6.51334138,0.20971088,1.115193477,0.0482742,-0.104929282,-1.563841951,Little or no detectable change
|
|||
|
SA-19.5,"SA-19.5. Persons with nonmedical use of any prescription psychotherapeutic drug in the past year (percent, ages 12 years and over)",SA,Race and ethnicity,7,3.23245755,0.44606431,Asian only,7.388331598,1.040540251,2.285670108,0.450673668,3.02409563,0.36049851,Asian only,6.642444778,0.984944546,2.196506193,0.417901101,-0.089163916,-0.145073469,Little or no detectable change
|
|||
|
SA-19.5,"SA-19.5. Persons with nonmedical use of any prescription psychotherapeutic drug in the past year (percent, ages 12 years and over)",SA,Educational attainment,5,4.68235121,0.44392138,Advanced degree,6.178500643,0.410200594,1.31952952,0.152725393,4.51891144,0.44709105,Less than high school,5.41940402,0.382362031,1.199272013,0.145732952,-0.120257506,-0.569671255,Little or no detectable change
|
|||
|
SA-19.5,"SA-19.5. Persons with nonmedical use of any prescription psychotherapeutic drug in the past year (percent, ages 12 years and over)",SA,Family income,5,5.66146928,0.31600521,At 400%-599% of the poverty threshold,7.38918281,0.359393429,1.305170521,0.096628031,5.12233602,0.30191142,At 400%-599% of the poverty threshold,6.466998643,0.359276912,1.262509647,0.102258226,-0.042661,-0.30322571,Little or no detectable change
|
|||
|
SA-19.5,"SA-19.5. Persons with nonmedical use of any prescription psychotherapeutic drug in the past year (percent, ages 12 years and over)",SA,Geographic location,2,6.41395945,0.32394009,Nonmetropolitan,7.18131038,0.15629461,1.119637634,0.0615748,5.49069028,0.28456324,Nonmetropolitan,6.28084982,0.15303259,1.143908962,0.065509505,0.0242713,0.269965769,Little or no detectable change
|
|||
|
SA-21,"SA-21. Adolescents using inhalants in the past year (percent, ages 12-17)",SA,Sex,2,2.30729361,0.20280788,Male,3.2019345,0.24332478,1.387744709,0.161247982,2.53762227,0.22066413,Male,2.78150167,0.22819594,1.096105478,0.131039307,-0.291639232,-1.403601411,Little or no detectable change
|
|||
|
SA-21,"SA-21. Adolescents using inhalants in the past year (percent, ages 12-17)",SA,Race and ethnicity,7,2.51792755,1.15074861,Native Hawaiian or Other Pacific Islander only,2.88409992,0.708796729,1.145426095,0.594372694,1.74198143,0.79670531,Native Hawaiian or Other Pacific Islander only,2.594768418,0.579897909,1.489549988,0.758239355,0.344123894,0.357184566,Little or no detectable change
|
|||
|
SA-21,"SA-21. Adolescents using inhalants in the past year (percent, ages 12-17)",SA,Family income,5,2.09155573,0.26783172,At 200%-399% of the poverty threshold,2.893654558,0.454082595,1.383493883,0.280214004,2.49388882,0.38340677,At or above 600% of the poverty threshold,2.660501318,0.409881758,1.06680831,0.232188533,-0.316685573,-0.870227471,Little or no detectable change
|
|||
|
SA-21,"SA-21. Adolescents using inhalants in the past year (percent, ages 12-17)",SA,Geographic location,2,2.65868413,0.35207169,Nonmetropolitan,2.75914472,0.17041603,1.037785831,0.151640107,2.64064887,0.3295111,Nonmetropolitan,2.66005652,0.18312672,1.007349576,0.143562207,-0.030436,-0.145755154,Little or no detectable change
|
|||
|
SH-1,"SH-1. Adults with symptoms of obstructive sleep apnea who seek medical evaluation (age-adjusted percent, ages 20 and over)",SH,Sex,2,32.385071431,1.437784726,Female,20.34344724,0.740606839,1.591916603,0.091398596,36.860231846,1.255306017,Female,29.085482624,2.296876792,1.267306867,0.108988688,-0.324609737,-2.282125825,Decrease
|
|||
|
SH-1,"SH-1. Adults with symptoms of obstructive sleep apnea who seek medical evaluation (age-adjusted percent, ages 20 and over)",SH,Educational attainment,4,29.195824632,2.056900363,Some college or AA degree,25.237677631,2.069452628,1.156834835,0.12506249,37.247393354,2.34929268,Some college or AA degree,30.793434589,3.791765574,1.209588792,0.167345717,0.052754,0.252514734,Little or no detectable change
|
|||
|
SH-1,"SH-1. Adults with symptoms of obstructive sleep apnea who seek medical evaluation (age-adjusted percent, ages 20 and over)",SH,Family income,5,30.505154132,1.744268506,Below the poverty threshold (<100%),24.840543849,2.480180699,1.2280389,0.141295615,36.585800573,2.517786826,At 200%-399% of the poverty threshold,32.416454151,3.809210007,1.128618214,0.153692224,-0.099420686,-0.476216556,Little or no detectable change
|
|||
|
SH-1,"SH-1. Adults with symptoms of obstructive sleep apnea who seek medical evaluation (age-adjusted percent, ages 20 and over)",SH,Disability status,2,44.902923008,2.074276699,People with activity limitations,21.811585626,0.725380477,2.058673027,0.117180909,62.503352914,3.345614999,People with activity limitations,25.602591902,1.254263558,2.441290052,0.177142941,0.382617025,1.801453789,Little or no detectable change
|
|||
|
SH-3,"SH-3. Students getting sufficient sleep on school nights (percent, grades 9-12)",SH,Sex,2,33.327822585,0.884707071,Male,28.181424896,0.812816236,1.18261666,0.0463571,26.333420799,0.89778201,Male,24.618501656,0.89621316,1.069659769,0.05335,-0.112956891,-1.598218487,Little or no detectable change
|
|||
|
SH-3,"SH-3. Students getting sufficient sleep on school nights (percent, grades 9-12)",SH,Race and ethnicity,7,36.1899817,2.765743618,American Indian or Alaska Native only,29.53143775,2.885855438,1.225473071,0.152027558,27.27867651,5.108773669,American Indian or Alaska Native only,22.744162098,2.011355704,1.199370475,0.248401979,-0.026103,-0.089628266,Little or no detectable change
|
|||
|
SH-4,"SH-4. Adults getting sufficient sleep per night (percent, ages 18 and over)",SH,Sex,2,71.732841265,0.519303173,Female,71.361662102,0.587578424,1.005201381,0.0110208,67.492034498,0.537339441,Male,67.267461927,0.499281107,1.003338502,0.010921,-0.0018629,-0.120066431,Little or no detectable change
|
|||
|
SH-4,"SH-4. Adults getting sufficient sleep per night (percent, ages 18 and over)",SH,Race and ethnicity,6,74.589379538,0.986882295,Hispanic or Latino,68.980179332,2.876741204,1.081316115,0.0473101,69.028790012,0.44651631,"White only, not Hispanic or Latino",62.85866931,2.614652525,1.098158627,0.0462277,0.0168425,0.254627463,Little or no detectable change
|
|||
|
SH-4,"SH-4. Adults getting sufficient sleep per night (percent, ages 18 and over)",SH,Educational attainment,6,76.312154553,1.185356268,Advanced degree,70.174968098,1.10599853,1.087455493,0.0240637,70.667206216,0.997617328,Advanced degree,65.188347283,1.103668014,1.0840466,0.0238966,-0.0034089,-0.100517911,Little or no detectable change
|
|||
|
SH-4,"SH-4. Adults getting sufficient sleep per night (percent, ages 18 and over)",SH,Family income,5,74.220303289,0.882641392,At or above 600% of the poverty threshold,70.798594701,1.101042892,1.048330177,0.0205238,71.581148686,0.780775465,At or above 600% of the poverty threshold,65.776364543,1.074001415,1.088250304,0.0213691,0.0399201,1.347343602,Little or no detectable change
|
|||
|
SH-4,"SH-4. Adults getting sufficient sleep per night (percent, ages 18 and over)",SH,Disability status,2,72.113170562,0.537166866,People without disabilities,64.882327162,1.060883291,1.1114455,0.0199701,69.336819377,0.579767726,People without disabilities,63.583201767,1.152811102,1.090489586,0.0217727,-0.020956,-0.709308725,Little or no detectable change
|
|||
|
SH-4,"SH-4. Adults getting sufficient sleep per night (percent, ages 18 and over)",SH,Geographic location,2,71.828667945,1.006933644,Nonmetropolitan,71.497629713,0.454213213,1.004630059,0.0154621,67.431493965,0.94655791,Nonmetropolitan,67.367755153,0.407740113,1.000946132,0.015301,-0.0036839,-0.169351676,Little or no detectable change
|
|||
|
STD-1.1,"STD-1.1. Chlamydia trachomatis infections among females attending family planning clinics (percent, ages 15-24)",STD,Race and ethnicity,7,6.9,,"White only, not Hispanic or Latino",10.533333333,,1.526570048,,8.1,,"White only, not Hispanic or Latino",11.666666667,,1.440329218,,-0.08624083,,Little or no detectable change
|
|||
|
STD-5,"STD-5. Females ever treated for pelvic inflammatory disease (percent, ages 15-44)",STD,Race and ethnicity,3,4.1769,0.4139,"White only, not Hispanic or Latino",4.7581,0.825410522,1.139146257,0.227580955,3.03064641,0.459069761,Hispanic or Latino,3.751599308,0.682826,1.2378875,0.293126752,0.098741243,0.26607605,Little or no detectable change
|
|||
|
STD-5,"STD-5. Females ever treated for pelvic inflammatory disease (percent, ages 15-44)",STD,Disability status,2,2.462391382,0.228909131,People without disabilities,7.564910598,0.833850285,3.072180423,0.442988182,2.658319039,0.371446721,People without disabilities,5.414267386,0.996249245,2.036725956,0.470576646,-1.035454467,-1.60217036,Little or no detectable change
|
|||
|
STD-5,"STD-5. Females ever treated for pelvic inflammatory disease (percent, ages 15-44)",STD,Geographic location,2,4.1547,0.3633,Nonmetropolitan,4.426,0.3964,1.06529954,0.133343833,3.19491546,0.522430982,Metropolitan,3.254075152,0.502970304,1.018516826,0.229176161,-0.046783,-0.176441475,Little or no detectable change
|
|||
|
STD-6.1,"STD-6.1. New cases of gonorrhea among females (per 100,000 population, ages 15-44)",STD,Race and ethnicity,7,28.213669,,Asian only,277.333438333,,9.829754448,,33,,Asian only,370.433333333,,11.225252525,,1.395498078,,Increase
|
|||
|
STD-6.2,"STD-6.2. New cases of gonorrhea among males (per 100,000 population, ages 15-44)",STD,Race and ethnicity,7,37.516822,,Asian only,240.228393333,,6.403218091,,99.3,,Asian only,411.2,,4.140986908,,-2.262231182,,Decrease
|
|||
|
STD-7.1,"STD-7.1. New cases of primary and secondary syphilis among females (per 100,000 population)",STD,Race and ethnicity,7,0.153351,,Asian only,1.345872333,,8.776417065,,0.4,,Asian only,2.9,,7.25,,-1.526417065,,Decrease
|
|||
|
STD-7.2,"STD-7.2. New cases of primary and secondary syphilis among males (per 100,000 population)",STD,Race and ethnicity,7,3.566275,,Two or more races,10.630867333,,2.980944356,,7.6,,"White only, not Hispanic or Latino",18.116666667,,2.38377193,,-0.597172426,,Decrease
|
|||
|
STD-8,"STD-8. New cases of congenital syphilis (per 100,000 live births)",STD,Race and ethnicity,5,2.764777,,Asian or Pacific Islander only,16.16050475,,5.845138595,,4.6,,Asian or Pacific Islander only,33.55,,7.293478261,,1.448339666,,Increase
|
|||
|
STD-10,"STD-10. Genital herpes infection due to herpes simplex type 2 among young adults (percent, ages 20-29)",STD,Sex,2,6.62078058,0.741298091,Male,14.405031038,1.322411879,2.175730016,0.315021851,4.124169901,0.674337028,Male,10.206341644,1.472359815,2.474762652,0.539621947,0.299032636,0.478571309,Little or no detectable change
|
|||
|
STD-10,"STD-10. Genital herpes infection due to herpes simplex type 2 among young adults (percent, ages 20-29)",STD,Race and ethnicity,3,5.297019306,1.499557114,"White only, not Hispanic or Latino",16.280375055,3.46209915,3.073497398,1.088228815,4.288152082,1.005733032,Hispanic or Latino,14.578563738,3.523346828,3.39973104,1.144942943,0.326233642,0.206529269,Little or no detectable change
|
|||
|
STD-10,"STD-10. Genital herpes infection due to herpes simplex type 2 among young adults (percent, ages 20-29)",STD,Disability status,2,8.20605881,1.085762431,People without activity limitations,12.746388487,3.089530596,1.553289927,0.428935676,6.851776572,0.885355746,People without activity limitations,10.62172784,2.826641031,1.550215149,0.458601329,-0.0030748,-0.0048967,Little or no detectable change
|
|||
|
TU-1.1,"TU-1.1. Adult cigarette smoking (age-adjusted percent, ages 18 and over)",TU,Sex,2,18.472399603,0.499612932,Female,22.764976277,0.566207218,1.232377859,0.0452825,12.188304686,0.356661174,Female,15.802141854,0.444205852,1.296500396,0.0526082,0.064122537,0.923786965,Little or no detectable change
|
|||
|
TU-1.1,"TU-1.1. Adult cigarette smoking (age-adjusted percent, ages 18 and over)",TU,Race and ethnicity,6,9.716049884,1.086750959,Asian only,20.801691729,2.368661517,2.140961808,0.341728294,6.774306849,0.828318928,Asian only,16.275342496,2.435563211,2.402510376,0.464282807,0.261548568,0.453694131,Little or no detectable change
|
|||
|
TU-1.1,"TU-1.1. Adult cigarette smoking (age-adjusted percent, ages 18 and over)",TU,Educational attainment,6,5.498208842,0.619691609,Advanced degree,22.143364453,1.017479474,4.027377841,0.490190636,3.729625489,0.391154551,Advanced degree,17.479061722,0.931208836,4.686546082,0.551294615,0.659168242,0.893535834,Little or no detectable change
|
|||
|
TU-1.1,"TU-1.1. Adult cigarette smoking (age-adjusted percent, ages 18 and over)",TU,Family income,5,11.77322008,0.710363535,At or above 600% of the poverty threshold,24.474752025,1.063692385,2.078849445,0.154583435,6.132010236,0.450571148,At or above 600% of the poverty threshold,17.567448101,0.895923003,2.86487586,0.256242251,0.786026416,2.62657305,Increase
|
|||
|
TU-1.1,"TU-1.1. Adult cigarette smoking (age-adjusted percent, ages 18 and over)",TU,Disability status,2,17.916464665,0.4589281,People without disabilities,30.106778938,1.526700063,1.680397305,0.095466338,12.43996426,0.398988658,People without disabilities,24.130664203,1.301611509,1.939769576,0.121730783,0.259372272,1.67661052,Little or no detectable change
|
|||
|
TU-1.1,"TU-1.1. Adult cigarette smoking (age-adjusted percent, ages 18 and over)",TU,Geographic location,2,19.515643226,0.418224136,Metropolitan,26.11784108,1.073562077,1.338302857,0.0620378,13.034511336,0.327626088,Metropolitan,20.430100272,0.925050838,1.567385209,0.081171093,0.229082352,2.242305684,Increase
|
|||
|
TU-2.1,"TU-2.1. Adolescent tobacco use in past 30 days (percent, grades 9-12)",TU,Sex,2,21.84358309,0.977057443,Female,29.828007092,1.449218068,1.365527211,0.090179915,12.635437902,1.134641325,Female,21.332523724,1.212989489,1.688309015,0.179445245,0.322781805,1.607232523,Little or no detectable change
|
|||
|
TU-2.1,"TU-2.1. Adolescent tobacco use in past 30 days (percent, grades 9-12)",TU,Race and ethnicity,7,11.907434902,2.375494005,Asian only,24.780634516,2.569223798,2.081106025,0.467893573,10.066498759,1.812791628,Asian only,17.132740344,2.427649861,1.701956237,0.389994292,-0.379149788,-0.622461063,Little or no detectable change
|
|||
|
TU-2.2,"TU-2.2. Adolescent cigarette smoking in past 30 days (percent, grades 9-12)",TU,Sex,2,19.050069825,0.93927136,Female,19.76815915,1.031665406,1.03769484,0.074502117,7.765840026,0.952817452,Female,9.799392994,0.809039149,1.261858725,0.18660945,0.224163886,1.115620861,Little or no detectable change
|
|||
|
TU-2.2,"TU-2.2. Adolescent cigarette smoking in past 30 days (percent, grades 9-12)",TU,Race and ethnicity,7,9.072757178,1.686576304,Asian only,19.373421838,2.101124958,2.135340058,0.459564969,4.231414602,1.115341409,Asian only,7.57251516,1.446730943,1.789594231,0.582588512,-0.345745827,-0.465945543,Little or no detectable change
|
|||
|
TU-2.3,"TU-2.3. Adolescent use of smokeless tobacco in past 30 days (percent, grades 9-12)",TU,Sex,2,2.220763386,0.228479532,Female,15.035841025,1.581881625,6.770573183,0.996300253,2.310006581,0.359660737,Female,11.850313613,0.98990485,5.129991279,0.906419485,-1.640581904,-1.218019053,Little or no detectable change
|
|||
|
TU-2.3,"TU-2.3. Adolescent use of smokeless tobacco in past 30 days (percent, grades 9-12)",TU,Race and ethnicity,7,3.284370483,0.546384177,"Black or African American only, not Hispanic or Latino",7.73189128,1.839338476,2.35414711,0.683379578,3.666229,0.741501508,"Black or African American only, not Hispanic or Latino",7.564422342,2.196195775,2.063270555,0.730055618,-0.290876556,-0.290878177,Little or no detectable change
|
|||
|
TU-2.4,"TU-2.4. Adolescent cigar smoking in past 30 days (percent, grades 9-12)",TU,Sex,2,8.82797098,0.579928031,Female,18.643756262,0.867776078,2.111895962,0.170029299,5.41678205,0.459201797,Female,10.495114189,0.550158282,1.937518271,0.193116405,-0.174377691,-0.677718138,Little or no detectable change
|
|||
|
TU-2.4,"TU-2.4. Adolescent cigar smoking in past 30 days (percent, grades 9-12)",TU,Race and ethnicity,7,6.522918022,1.57060347,Asian only,13.95614287,1.716039865,2.139555153,0.578452648,3.993640181,1.098396927,Asian only,7.5689764,1.231059592,1.895257474,0.605589289,-0.24429768,-0.291711282,Little or no detectable change
|
|||
|
TU-3.1,"TU-3.1. Children and adolescents initiating use of tobacco products in past 12 months (percent, ages 12-17)",TU,Sex,2,4.98476411,0.28484491,Male,5.00472245,0.32430589,1.004003869,0.086742515,3.58371752,0.26428486,Female,3.76406234,0.26370949,1.050323392,0.106838339,0.0463195,0.336580585,Little or no detectable change
|
|||
|
TU-3.1,"TU-3.1. Children and adolescents initiating use of tobacco products in past 12 months (percent, ages 12-17)",TU,Race and ethnicity,6,1.31251392,0.50397095,Asian only,4.73036719,0.833555913,3.604051064,1.522630207,1.10083278,0.55719705,Asian only,3.694919362,0.827365832,3.356476505,1.857735058,-0.247574559,-0.103070368,Little or no detectable change
|
|||
|
TU-3.1,"TU-3.1. Children and adolescents initiating use of tobacco products in past 12 months (percent, ages 12-17)",TU,Family income,5,4.3436189,0.45617132,Below the poverty threshold (<100%),5.25655497,0.609758622,1.210178676,0.189366239,3.29524548,0.40867405,Below the poverty threshold (<100%),3.80215436,0.520413604,1.153830385,0.213115632,-0.056348,-0.197649018,Little or no detectable change
|
|||
|
TU-3.1,"TU-3.1. Children and adolescents initiating use of tobacco products in past 12 months (percent, ages 12-17)",TU,Geographic location,2,4.78780541,0.22521702,Metropolitan,6.46950914,0.61170784,1.351247301,0.142701555,3.50270638,0.20706592,Metropolitan,4.80772806,0.53661332,1.372575243,0.173360923,0.0213279,0.094985483,Little or no detectable change
|
|||
|
TU-3.2,"TU-3.2. Children and adolescents initiating cigarette smoking in past 12 months (percent, ages 12-17)",TU,Sex,2,5.8394,0.3024,Male,6.7877,0.3769,1.162396822,0.08825832,2.26739235,0.21575216,Male,2.68817943,0.24319905,1.185581944,0.15566437,0.0231851,0.129566415,Little or no detectable change
|
|||
|
TU-3.2,"TU-3.2. Children and adolescents initiating cigarette smoking in past 12 months (percent, ages 12-17)",TU,Race and ethnicity,7,2.4134,1.2654,Native Hawaiian or Other Pacific Islander only,5.861716667,1.057451792,2.428821027,1.346754784,0.65464291,0.49563241,Asian only,2.362015808,0.874004664,3.608098052,3.040503084,1.179277025,0.354625159,Little or no detectable change
|
|||
|
TU-3.2,"TU-3.2. Children and adolescents initiating cigarette smoking in past 12 months (percent, ages 12-17)",TU,Family income,5,5.2273,0.5547,Below the poverty threshold (<100%),6.67955,0.901271496,1.27782029,0.219348921,2.01702826,0.31942911,Below the poverty threshold (<100%),2.611760683,0.451811264,1.294855771,0.303686506,0.0170355,0.0454741,Little or no detectable change
|
|||
|
TU-3.2,"TU-3.2. Children and adolescents initiating cigarette smoking in past 12 months (percent, ages 12-17)",TU,Geographic location,2,3.48662241,0.20249581,Metropolitan,4.9579117,0.57606712,1.421981252,0.184712611,2.36479072,0.17748273,Metropolitan,3.18442953,0.43615344,1.346600992,0.210311637,-0.07538026,-0.269301559,Little or no detectable change
|
|||
|
TU-3.3,"TU-3.3. Children and adolescents initiating use of smokeless tobacco in past 12 months (percent, ages 12-17)",TU,Sex,2,1.03789875,0.14461434,Female,2.80365001,0.2115515,2.701275062,0.42802611,0.80790039,0.12017746,Female,1.73485786,0.17731423,2.147366039,0.387560167,-0.553909023,-0.959289361,Little or no detectable change
|
|||
|
TU-3.3,"TU-3.3. Children and adolescents initiating use of smokeless tobacco in past 12 months (percent, ages 12-17)",TU,Race and ethnicity,6,0.19235604,0.19208609,Asian only,1.773854388,0.56704327,9.221724402,9.669110567,0.17478606,0.14937298,Asian only,1.324421802,0.505759123,7.577388048,7.092755217,-1.644336354,-0.137123823,Little or no detectable change
|
|||
|
TU-3.3,"TU-3.3. Children and adolescents initiating use of smokeless tobacco in past 12 months (percent, ages 12-17)",TU,Family income,5,1.18621168,0.18704546,Below the poverty threshold (<100%),2.214697875,0.396366861,1.867034284,0.445335959,0.90173921,0.16278347,At 100%-199% of the poverty threshold,1.412623375,0.309762127,1.566554231,0.444946731,-0.300480053,-0.477312353,Little or no detectable change
|
|||
|
TU-3.3,"TU-3.3. Children and adolescents initiating use of smokeless tobacco in past 12 months (percent, ages 12-17)",TU,Geographic location,2,1.70170617,0.12997932,Metropolitan,3.44172439,0.402553,2.022513904,0.282533114,1.11356721,0.10893931,Metropolitan,2.28341413,0.33610814,2.050540021,0.362412486,0.0280261,0.0609887,Little or no detectable change
|
|||
|
TU-3.4,"TU-3.4. Children and adolescents initiating cigar smoking in past 12 months (percent, ages 12-17)",TU,Sex,2,4.0836,0.2514,Female,5.7079,0.2932,1.397761779,0.112070978,1.62775268,0.16707542,Female,2.45919,0.19898051,1.510788482,0.197458677,0.113026703,0.497814368,Little or no detectable change
|
|||
|
TU-3.4,"TU-3.4. Children and adolescents initiating cigar smoking in past 12 months (percent, ages 12-17)",TU,Race and ethnicity,7,0.886,0.3256,Asian only,4.468966667,1.039053827,5.043980436,2.193466611,0.27285551,0.19551509,Asian only,2.075140407,0.717752618,7.605272133,6.051237353,2.561291697,0.397931231,Little or no detectable change
|
|||
|
TU-3.4,"TU-3.4. Children and adolescents initiating cigar smoking in past 12 months (percent, ages 12-17)",TU,Family income,5,3.2601,0.3665,Below the poverty threshold (<100%),5.638775,0.712260163,1.729632527,0.29247482,1.68766763,0.25615987,At 100%-199% of the poverty threshold,2.232358898,0.382175141,1.32274795,0.302637413,-0.406884577,-0.966771934,Little or no detectable change
|
|||
|
TU-3.4,"TU-3.4. Children and adolescents initiating cigar smoking in past 12 months (percent, ages 12-17)",TU,Geographic location,2,2.68254352,0.16207389,Metropolitan,3.74277504,0.48358692,1.39523367,0.199007383,1.94491516,0.13836547,Metropolitan,2.67898499,0.35097414,1.377430258,0.205347358,-0.017803,-0.062259,Little or no detectable change
|
|||
|
TU-3.5,"TU-3.5. Young adults initiating use of tobacco products in past 12 months (percent, ages 18-25)",TU,Sex,2,6.91691591,0.49529264,Female,11.0705341,0.73536087,1.600501473,0.156323255,6.96035324,0.47833931,Female,8.81100635,0.61828591,1.265884941,0.124334251,-0.334616532,-1.675262628,Little or no detectable change
|
|||
|
TU-3.5,"TU-3.5. Young adults initiating use of tobacco products in past 12 months (percent, ages 18-25)",TU,Race and ethnicity,6,4.66137957,1.04232772,Asian only,8.539404402,1.514100439,1.831947876,0.522792664,4.2254563,0.69524454,"Black or African American only, not Hispanic or Latino",8.879481284,2.11890241,2.101425421,0.609110074,0.269477545,0.335713907,Little or no detectable change
|
|||
|
TU-3.5,"TU-3.5. Young adults initiating use of tobacco products in past 12 months (percent, ages 18-25)",TU,Family income,5,7.519463,0.75524476,Below the poverty threshold (<100%),9.010843372,1.244506768,1.198336021,0.204641566,6.10135023,0.65058984,At 200%-399% of the poverty threshold,8.15524241,1.237760333,1.336629123,0.247928125,0.138293102,0.430182342,Little or no detectable change
|
|||
|
TU-3.5,"TU-3.5. Young adults initiating use of tobacco products in past 12 months (percent, ages 18-25)",TU,Geographic location,2,8.55483564,0.43850138,Metropolitan,10.2113062,1.18434979,1.193629735,0.151359027,7.55689358,0.41892915,Metropolitan,9.58297068,1.03857764,1.268109783,0.154370643,0.074480048,0.344505602,Little or no detectable change
|
|||
|
TU-3.6,"TU-3.6. Young adults initiating cigarette smoking in past 12 months (percent, ages 18-25)",TU,Sex,2,7.1404,0.5437,Female,9.8157,0.6946,1.374670887,0.142896413,5.36482396,0.40829613,Female,6.36089461,0.50989724,1.185666978,0.131057625,-0.189003909,-0.97477175,Little or no detectable change
|
|||
|
TU-3.6,"TU-3.6. Young adults initiating cigarette smoking in past 12 months (percent, ages 18-25)",TU,Race and ethnicity,5,4.9256,0.7094,"Black or African American only, not Hispanic or Latino",7.97675,1.816807414,1.619447377,0.436405957,3.21040988,0.57296016,"Black or African American only, not Hispanic or Latino",5.90682438,1.142354196,1.839897272,0.484187535,0.220449895,0.338199376,Little or no detectable change
|
|||
|
TU-3.6,"TU-3.6. Young adults initiating cigarette smoking in past 12 months (percent, ages 18-25)",TU,Family income,5,7.3681,1.0534,Below the poverty threshold (<100%),8.5388,1.380796129,1.158887637,0.250140936,4.18694177,0.48140321,At 200%-399% of the poverty threshold,6.255416485,1.057973791,1.49402997,0.305544559,0.335142332,0.848725561,Little or no detectable change
|
|||
|
TU-3.6,"TU-3.6. Young adults initiating cigarette smoking in past 12 months (percent, ages 18-25)",TU,Geographic location,2,5.89572953,0.36130849,Metropolitan,7.28746263,0.91376392,1.236057827,0.172508197,5.62451717,0.3569605,Metropolitan,7.55041198,0.90944797,1.342410691,0.182765395,0.106352864,0.423175323,Little or no detectable change
|
|||
|
TU-3.7,"TU-3.7. Young adults initiating use of smokeless tobacco in past 12 months (percent, ages 18-25)",TU,Sex,2,0.91894099,0.13560142,Female,2.94919911,0.28984445,3.209345477,0.569000949,0.77828701,0.13510345,Female,2.24971253,0.23651851,2.890594988,0.586631697,-0.31875049,-0.390027761,Little or no detectable change
|
|||
|
TU-3.7,"TU-3.7. Young adults initiating use of smokeless tobacco in past 12 months (percent, ages 18-25)",TU,Race and ethnicity,6,0.55789742,0.17028978,"Black or African American only, not Hispanic or Latino",1.723479958,0.638040428,3.089241671,1.482256343,0.4627728,0.12822426,Hispanic or Latino,1.25244674,0.474594496,2.706396616,1.270459993,-0.382845055,-0.196107806,Little or no detectable change
|
|||
|
TU-3.7,"TU-3.7. Young adults initiating use of smokeless tobacco in past 12 months (percent, ages 18-25)",TU,Family income,5,1.47040077,0.27457528,Below the poverty threshold (<100%),1.829911478,0.441471138,1.244498449,0.379669611,0.89825051,0.18500307,Below the poverty threshold (<100%),1.659691535,0.467614528,1.847693396,0.644845253,0.603194947,0.806071568,Little or no detectable change
|
|||
|
TU-3.7,"TU-3.7. Young adults initiating use of smokeless tobacco in past 12 months (percent, ages 18-25)",TU,Geographic location,2,1.71221481,0.16045897,Metropolitan,2.56950884,0.41419709,1.500693035,0.279817224,1.27501683,0.1339654,Metropolitan,2.72054355,0.46555968,2.133731482,0.428472233,0.633038447,1.237011779,Little or no detectable change
|
|||
|
TU-3.8,"TU-3.8. Young adults initiating cigar smoking in past 12 months (percent, ages 18-25)",TU,Sex,2,4.3356,0.2849,Female,8.96,0.4957,2.066611311,0.177521138,3.59704578,0.27717299,Female,7.13233165,0.47814972,1.98283038,0.202519829,-0.083780931,-0.311094423,Little or no detectable change
|
|||
|
TU-3.8,"TU-3.8. Young adults initiating cigar smoking in past 12 months (percent, ages 18-25)",TU,Race and ethnicity,6,2.8648,0.4399,"Black or African American only, not Hispanic or Latino",6.35738,1.451824351,2.219135716,0.610688938,2.69858654,0.48612295,"Black or African American only, not Hispanic or Latino",5.351492184,1.275777316,1.983072288,0.592548109,-0.236063428,-0.277423444,Little or no detectable change
|
|||
|
TU-3.8,"TU-3.8. Young adults initiating cigar smoking in past 12 months (percent, ages 18-25)",TU,Family income,5,4.7109,0.48,At 100%-199% of the poverty threshold,7.0768,1.106351888,1.50221826,0.280325749,4.38448179,0.50960686,At 100%-199% of the poverty threshold,5.390541985,0.817881585,1.229459317,0.234984065,-0.272758943,-0.745677233,Little or no detectable change
|
|||
|
TU-3.8,"TU-3.8. Young adults initiating cigar smoking in past 12 months (percent, ages 18-25)",TU,Geographic location,2,5.27181555,0.29244038,Metropolitan,6.70195745,0.88367587,1.271280717,0.181853178,5.01952693,0.27802926,Metropolitan,6.10061646,0.70484883,1.215376777,0.155724207,-0.055904,-0.233500076,Little or no detectable change
|
|||
|
TU-4.1,"TU-4.1. Adult smokers attempting smoking cessation in past 12 months (age-adjusted percent, ages 18 and over)",TU,Sex,2,53.412506271,1.254531437,Female,47.371508535,1.251474602,1.127523862,0.0398575,56.295086859,1.526880277,Female,55.667832797,1.29747123,1.011267801,0.0361644,-0.116256061,-2.160130838,Decrease
|
|||
|
TU-4.1,"TU-4.1. Adult smokers attempting smoking cessation in past 12 months (age-adjusted percent, ages 18 and over)",TU,Race and ethnicity,6,61.653038891,5.792138827,Two or more races,50.771647649,4.609479212,1.214320231,0.158647324,68.242530248,4.690816742,Asian only,56.10290942,4.738010189,1.216381306,0.132451568,0.00206108,0.0099728,Little or no detectable change
|
|||
|
TU-4.1,"TU-4.1. Adult smokers attempting smoking cessation in past 12 months (age-adjusted percent, ages 18 and over)",TU,Educational attainment,6,58.119227765,4.693835553,Advanced degree,49.884975734,2.775240197,1.16506477,0.114256784,62.7828649,4.683512552,Advanced degree,54.405162058,2.640540571,1.153987279,0.102702076,-0.011077,-0.072104768,Little or no detectable change
|
|||
|
TU-4.1,"TU-4.1. Adult smokers attempting smoking cessation in past 12 months (age-adjusted percent, ages 18 and over)",TU,Family income,5,56.023859712,3.077985411,At or above 600% of the poverty threshold,49.979512448,2.402115124,1.120936499,0.081823964,59.666332801,2.802572907,At or above 600% of the poverty threshold,55.644650231,2.567291323,1.07227438,0.070598486,-0.048662,-0.450279816,Little or no detectable change
|
|||
|
TU-4.1,"TU-4.1. Adult smokers attempting smoking cessation in past 12 months (age-adjusted percent, ages 18 and over)",TU,Disability status,2,52.245279049,2.605582952,People with disabilities,51.171763303,1.34665615,1.020978674,0.0575725,55.337223918,2.995706002,People with disabilities,54.470812682,1.560214357,1.015905972,0.0622202,-0.0050727,-0.059841,Little or no detectable change
|
|||
|
TU-4.1,"TU-4.1. Adult smokers attempting smoking cessation in past 12 months (age-adjusted percent, ages 18 and over)",TU,Geographic location,2,50.826402066,1.010999583,Metropolitan,47.858427511,1.972218375,1.062015714,0.0485967,56.848563761,1.093946717,Metropolitan,51.591359469,2.191161938,1.101900868,0.0513789,0.0398852,0.563980539,Little or no detectable change
|
|||
|
TU-5.1,"TU-5.1. Adult smokers who successfully stopped smoking within past 6 months to 1 year (age-adjusted percent, ages 18 and over)",TU,Sex,2,6.775048824,0.653205832,Female,5.243303117,0.522289283,1.292133732,0.17912652,8.965948683,0.947972632,Male,7.416981249,0.826542906,1.208840684,0.185696224,-0.083293048,-0.322828184,Little or no detectable change
|
|||
|
TU-5.1,"TU-5.1. Adult smokers who successfully stopped smoking within past 6 months to 1 year (age-adjusted percent, ages 18 and over)",TU,Race and ethnicity,3,6.808078114,1.228909291,Hispanic or Latino,4.700238973,0.928354741,1.448453611,0.387563668,8.936808513,0.797841144,"White only, not Hispanic or Latino",5.789687507,2.077208655,1.543573552,0.570686829,0.095119941,0.137885537,Little or no detectable change
|
|||
|
TU-5.1,"TU-5.1. Adult smokers who successfully stopped smoking within past 6 months to 1 year (age-adjusted percent, ages 18 and over)",TU,Educational attainment,6,15.450272992,3.874314231,Advanced degree,5.763321574,1.29004515,2.680793149,0.901096468,10.822211047,2.441421847,Advanced degree,6.676342114,1.344672828,1.620979102,0.490216659,-1.059814047,-1.033147964,Little or no detectable change
|
|||
|
TU-5.1,"TU-5.1. Adult smokers who successfully stopped smoking within past 6 months to 1 year (age-adjusted percent, ages 18 and over)",TU,Family income,5,8.303777326,1.416489781,At or above 600% of the poverty threshold,5.446873675,1.057157963,1.52450338,0.39392389,13.144693555,3.171118297,At or above 600% of the poverty threshold,7.905145668,1.751487252,1.662802193,0.544654058,0.138298814,0.205747123,Little or no detectable change
|
|||
|
TU-5.1,"TU-5.1. Adult smokers who successfully stopped smoking within past 6 months to 1 year (age-adjusted percent, ages 18 and over)",TU,Disability status,2,5.900697767,0.579002849,People without disabilities,4.488747295,0.856771852,1.314553344,0.282124601,8.082417206,0.826976921,People without disabilities,5.00205665,1.222057094,1.615818806,0.427984029,0.301265462,0.587713819,Little or no detectable change
|
|||
|
TU-5.1,"TU-5.1. Adult smokers who successfully stopped smoking within past 6 months to 1 year (age-adjusted percent, ages 18 and over)",TU,Geographic location,2,6.053043612,0.479900193,Metropolitan,6.053010781,1.041559206,1.000005424,0.189460249,8.515361689,0.773531679,Metropolitan,7.460388883,1.071602316,1.141409895,0.193985856,0.141404471,0.521487091,Little or no detectable change
|
|||
|
TU-7,"TU-7. Adolescent smokers attempting smoking cessation in past 12 months (percent, grades 9-12)",TU,Sex,2,63.520953776,2.660583354,Female,54.839426826,2.270152362,1.158308127,0.068212668,60.615036211,3.164165141,Female,50.969389892,2.493318727,1.189243904,0.085078004,0.0309358,0.283692298,Little or no detectable change
|
|||
|
TU-7,"TU-7. Adolescent smokers attempting smoking cessation in past 12 months (percent, grades 9-12)",TU,Race and ethnicity,3,59.357912389,2.48555587,"White only, not Hispanic or Latino",56.323295256,8.062145129,1.053878544,0.157175097,62.849348116,5.747075993,"Black or African American only, not Hispanic or Latino",53.867726695,4.192163481,1.16673474,0.140096231,0.112856196,0.536008672,Little or no detectable change
|
|||
|
TU-9.1,"TU-9.1. Visits to office-based ambulatory care settings that include tobacco screening (percent, ages 18 and over)",TU,Sex,2,75.823,0.908,Female,75.416,1.019,1.005396733,0.0181522,86.8265068,1.298200982,Male,86.698768601,1.414063053,1.001473357,0.0221588,-0.0039234,-0.136967175,Little or no detectable change
|
|||
|
TU-9.1,"TU-9.1. Visits to office-based ambulatory care settings that include tobacco screening (percent, ages 18 and over)",TU,Race and ethnicity,3,76.863,0.863,"White only, not Hispanic or Latino",70.44,2.819344782,1.091183986,0.0453603,87.893520001,1.185148408,"White only, not Hispanic or Latino",84.089228333,4.395369415,1.045241129,0.0564237,-0.045943,-0.634604781,Little or no detectable change
|
|||
|
TU-9.1,"TU-9.1. Visits to office-based ambulatory care settings that include tobacco screening (percent, ages 18 and over)",TU,Geographic location,2,79.572,1.931,Nonmetropolitan,75.201,0.936,1.058124227,0.0288583,86.959133589,1.235788715,Metropolitan,84.481068922,4.989940761,1.029332781,0.062533332,-0.028791,-0.418048629,Little or no detectable change
|
|||
|
TU-9.2,"TU-9.2. Visits to hospital ambulatory care settings that include tobacco screening (percent, ages 18 and over)",TU,Sex,2,60.639,2.757,Female,59.334,2.92,1.021994135,0.068473992,63.179,3.7,Male,62.494,3.206,1.010961052,0.078709011,-0.011033,-0.105756404,Little or no detectable change
|
|||
|
TU-9.2,"TU-9.2. Visits to hospital ambulatory care settings that include tobacco screening (percent, ages 18 and over)",TU,Race and ethnicity,3,61.955,4.498,"Black or African American only, not Hispanic or Latino",57.7505,5.147530379,1.072804564,0.123329506,69.57,3.206,"White only, not Hispanic or Latino",53.131,7.103451133,1.309405055,0.185170974,0.236600491,1.063456701,Little or no detectable change
|
|||
|
TU-9.2,"TU-9.2. Visits to hospital ambulatory care settings that include tobacco screening (percent, ages 18 and over)",TU,Geographic location,2,71.696,4.261,Nonmetropolitan,57.664,2.941,1.243340733,0.097373048,75.14,8.826,Nonmetropolitan,60.045,3.197,1.251394787,0.161385711,0.0080541,0.0427303,Little or no detectable change
|
|||
|
TU-10.1,"TU-10.1. Visits to office-based ambulatory care settings that include cessation counseling for tobacco users (percent, ages 18 and over)",TU,Sex,2,11.258,0.852,Female,10.873,0.929,1.035408811,0.118179812,22.013957465,2.344867979,Male,18.459942256,2.569847126,1.192525803,0.209035682,0.157116992,0.654299907,Little or no detectable change
|
|||
|
TU-10.1,"TU-10.1. Visits to office-based ambulatory care settings that include cessation counseling for tobacco users (percent, ages 18 and over)",TU,Race and ethnicity,3,11.746,0.817,"White only, not Hispanic or Latino",7.9625,2.507690571,1.475164835,0.475780492,21.762501555,6.143017869,Hispanic or Latino,19.143657132,5.290649019,1.136799589,0.449082375,-0.338365246,-0.517180962,Little or no detectable change
|
|||
|
TU-10.1,"TU-10.1. Visits to office-based ambulatory care settings that include cessation counseling for tobacco users (percent, ages 18 and over)",TU,Geographic location,2,11.34,0.838,Metropolitan,9.667,1.359,1.173062998,0.186306594,22.226991742,4.348564567,Nonmetropolitan,19.837586069,2.158309065,1.120448409,0.25082424,-0.052615,-0.168395402,Little or no detectable change
|
|||
|
TU-10.2,"TU-10.2. Visits to hospital ambulatory care settings that include cessation counseling for tobacco users (percent, ages 18 and over)",TU,Sex,2,22.824,2.501,Male,22.398,3.042,1.019019555,0.177827416,24.801,3.352,Female,18.977,2.411,1.306897824,0.242423138,0.287878268,0.957513537,Little or no detectable change
|
|||
|
TU-10.2,"TU-10.2. Visits to hospital ambulatory care settings that include cessation counseling for tobacco users (percent, ages 18 and over)",TU,Race and ethnicity,3,27.525,4.717,"Black or African American only, not Hispanic or Latino",23.0345,5.276056292,1.19494671,0.341830308,32.675,5.22,"Black or African American only, not Hispanic or Latino",20.3225,6.206384616,1.607823841,0.554145905,0.41287713,0.634126618,Little or no detectable change
|
|||
|
TU-10.2,"TU-10.2. Visits to hospital ambulatory care settings that include cessation counseling for tobacco users (percent, ages 18 and over)",TU,Geographic location,2,24.092,2.996,Metropolitan,17.425,4.062,1.382611191,0.365298339,23.768,3.255,Metropolitan,18.325,4.618,1.297025921,0.372003981,-0.08558527,-0.164153619,Little or no detectable change
|
|||
|
TU-11.1,"TU-11.1. Children exposed to secondhand smoke (percent, nonsmokers, ages 3-11 years)",TU,Sex,2,49.259337075,2.399670298,Male,55.349069188,2.675036372,1.123625945,0.077105396,37.976918974,2.243743064,Male,38.204713586,2.466975438,1.005998238,0.088047935,-0.117627707,-1.00504639,Little or no detectable change
|
|||
|
TU-11.1,"TU-11.1. Children exposed to secondhand smoke (percent, nonsmokers, ages 3-11 years)",TU,Race and ethnicity,3,31.382068611,2.121676406,Hispanic or Latino,53.626830714,4.065900709,1.708836705,0.173590066,25.866044258,2.361847932,Hispanic or Latino,52.123523632,4.872061819,2.015133165,0.263316819,0.30629646,0.971175098,Little or no detectable change
|
|||
|
TU-11.1,"TU-11.1. Children exposed to secondhand smoke (percent, nonsmokers, ages 3-11 years)",TU,Family income,5,25.203954996,3.983479211,Above 500% of the poverty threshold,54.622085472,4.885564142,2.167202944,0.393571347,11.486015904,2.716007271,Above 500% of the poverty threshold,38.397954426,4.768983469,3.343017696,0.892902961,1.175814752,1.204982451,Little or no detectable change
|
|||
|
TU-11.2,"TU-11.2. Adolescents exposed to secondhand smoke (percent, nonsmokers, ages 12-17)",TU,Sex,2,43.849943758,2.665322173,Female,47.108760603,2.953905403,1.074317469,0.093818944,30.425853663,2.529755593,Female,34.649282127,2.795606,1.138810517,0.131939035,0.064493047,0.398364096,Little or no detectable change
|
|||
|
TU-11.2,"TU-11.2. Adolescents exposed to secondhand smoke (percent, nonsmokers, ages 12-17)",TU,Race and ethnicity,3,21.411341531,2.670484821,Hispanic or Latino,43.9831889,5.003321767,2.05420052,0.346765094,23.93102556,2.151065136,Hispanic or Latino,43.462736022,5.27951703,1.81616688,0.274445662,-0.23803364,-0.538258825,Little or no detectable change
|
|||
|
TU-11.2,"TU-11.2. Adolescents exposed to secondhand smoke (percent, nonsmokers, ages 12-17)",TU,Family income,4,21.513011094,3.505937186,Above 500% of the poverty threshold,56.354201895,4.553912716,2.61954041,0.47650222,14.251544339,4.058453256,Above 500% of the poverty threshold,39.80022526,3.830617235,2.792695606,0.839477545,0.173155197,0.179382287,Little or no detectable change
|
|||
|
TU-11.3,"TU-11.3. Adults exposed to secondhand smoke (age-adjusted percent, nonsmokers, ages 18 and over)",TU,Sex,2,34.01673946,1.531169223,Female,42.248251112,1.706610221,1.241984146,0.075115316,22.255449926,1.381056828,Female,22.958434187,1.599481397,1.031587061,0.096244944,-0.210397085,-1.723327833,Little or no detectable change
|
|||
|
TU-11.3,"TU-11.3. Adults exposed to secondhand smoke (age-adjusted percent, nonsmokers, ages 18 and over)",TU,Race and ethnicity,3,22.405762091,1.460551001,Hispanic or Latino,34.743888669,2.534118844,1.550667571,0.15168897,19.280170628,1.199397438,Hispanic or Latino,31.649975278,2.527444693,1.6415817,0.166172707,0.09091413,0.40407113,Little or no detectable change
|
|||
|
TU-11.3,"TU-11.3. Adults exposed to secondhand smoke (age-adjusted percent, nonsmokers, ages 18 and over)",TU,Educational attainment,4,23.487988959,1.636445844,College graduate or above,41.99952355,2.825295021,1.788127695,0.173174825,9.976954037,0.864873617,College graduate or above,28.573464928,2.827577898,2.863946734,0.376773723,1.075819039,2.594422575,Increase
|
|||
|
TU-11.3,"TU-11.3. Adults exposed to secondhand smoke (age-adjusted percent, nonsmokers, ages 18 and over)",TU,Family income,5,29.262195729,2.50606554,Above 500% of the poverty threshold,42.836225884,2.434653235,1.463875995,0.150465343,13.399073126,1.683835216,Above 500% of the poverty threshold,27.876767636,2.466937475,2.080499701,0.319772954,0.616623707,1.744811255,Little or no detectable change
|
|||
|
TU-11.3,"TU-11.3. Adults exposed to secondhand smoke (age-adjusted percent, nonsmokers, ages 18 and over)",TU,Disability status,2,35.343403942,1.553934338,People without activity limitations,46.546105159,1.836901361,1.31696724,0.077806929,20.713768525,1.228205759,People without activity limitations,31.302758915,2.456908267,1.511205403,0.148654165,0.194238163,1.157657521,Little or no detectable change
|
|||
|
TU-12,"TU-12. Persons covered by indoor worksite policies prohibiting smoking (percent, ages 18 and over)",TU,Sex,2,85.325262517,0.220228055,Female,80.977036192,0.287533578,1.05369703,0.00462548,82.99960616,0.237474111,Female,78.621744782,0.302346964,1.055682577,0.00506009,0.00198555,0.289623186,Little or no detectable change
|
|||
|
TU-12,"TU-12. Persons covered by indoor worksite policies prohibiting smoking (percent, ages 18 and over)",TU,Race and ethnicity,7,85.396726622,0.215911855,"White only, not Hispanic or Latino",79.383407685,2.025016473,1.075750325,0.0275761,82.923646945,0.220847734,"White only, not Hispanic or Latino",76.765442628,2.308971557,1.080221049,0.0326183,0.00447072,0.104669065,Little or no detectable change
|
|||
|
TU-12,"TU-12. Persons covered by indoor worksite policies prohibiting smoking (percent, ages 18 and over)",TU,Educational attainment,6,89.489952497,0.341006114,Advanced degree,81.562290093,0.620161035,1.097197644,0.0093316,87.754429416,0.357264183,Advanced degree,78.828221987,0.700219198,1.113236189,0.0108778,0.0160385,1.119073145,Little or no detectable change
|
|||
|
TU-12,"TU-12. Persons covered by indoor worksite policies prohibiting smoking (percent, ages 18 and over)",TU,Family income,3,83.952217747,0.208269231,Above (poverty status),78.222417452,1.42337676,1.073250105,0.0197101,81.603203361,0.194279256,Above (poverty status),75.5671875,1.498067476,1.079876148,0.0215616,0.00662604,0.226819358,Little or no detectable change
|
|||
|
TU-12,"TU-12. Persons covered by indoor worksite policies prohibiting smoking (percent, ages 18 and over)",TU,Geographic location,2,83.74582216,0.630005983,Nonmetropolitan,83.333754647,0.200956633,1.004944785,0.007939,81.16610454,0.220989047,Metropolitan,79.91093173,0.639749792,1.015707148,0.0085889,0.0107624,0.920174541,Little or no detectable change
|
|||
|
TU-14,"TU-14. Adults living in smoke-free homes (percent, ages 18 and over)",TU,Sex,2,80.1327,0.1762,Female,78.0488,0.2016,1.026699962,0.00348274,87.519570399,0.151490609,Female,85.389755007,0.163484654,1.024942283,0.00264541,-0.0017577,-0.401891278,Little or no detectable change
|
|||
|
TU-14,"TU-14. Adults living in smoke-free homes (percent, ages 18 and over)",TU,Race and ethnicity,7,89.8822,0.584,Asian only,79.75645,1.298467011,1.126958384,0.0197545,92.535920097,0.469901083,Asian only,85.509645019,1.129985835,1.082169387,0.0153201,-0.044789,-1.791638631,Little or no detectable change
|
|||
|
TU-14,"TU-14. Adults living in smoke-free homes (percent, ages 18 and over)",TU,Educational attainment,6,90.1103,0.2821,Advanced degree,78.4615,0.371951643,1.148465171,0.00652442,94.027459738,0.207681604,Advanced degree,85.172628284,0.33276785,1.103963346,0.00495469,-0.044502,-5.432021584,Decrease
|
|||
|
TU-14,"TU-14. Adults living in smoke-free homes (percent, ages 18 and over)",TU,Family income,3,80.9285,0.1642,Above (poverty status),70.60375,0.973272259,1.14623515,0.0159711,88.352204405,0.124033541,Above (poverty status),78.499079035,0.799082699,1.125518993,0.0115657,-0.020716,-1.050566535,Little or no detectable change
|
|||
|
TU-14,"TU-14. Adults living in smoke-free homes (percent, ages 18 and over)",TU,Geographic location,2,80.5732,0.1626,Metropolitan,71.4125,0.4905,1.128278663,0.0080772,87.429101013,0.133723711,Metropolitan,80.912428284,0.367977372,1.080539824,0.0051846,-0.047739,-4.973842092,Decrease
|
|||
|
TU-18.1,"TU-18.1. Adolescents and young adults exposed to tobacco marketing on the Internet (percent, grades 6-12)",TU,Sex,2,35.364,0.889,Male,38.104,0.977,1.077479923,0.03869,39.4937,1.0214,Male,46.0197,0.8954,1.165241545,0.0377119,0.087761622,1.624350231,Little or no detectable change
|
|||
|
TU-18.1,"TU-18.1. Adolescents and young adults exposed to tobacco marketing on the Internet (percent, grades 6-12)",TU,Race and ethnicity,6,33.945,1.975,"Asian only, not Hispanic or Latino",42.4352,3.904873942,1.250116365,0.136100931,36.093,3.7583,"Asian only, not Hispanic or Latino",48.65836,3.401015821,1.34813842,0.169072427,0.098022055,0.451618889,Little or no detectable change
|
|||
|
TU-18.2,"TU-18.2. Adolescents and young adults exposed to tobacco marketing in magazines and newspapers (percent, grades 6-12)",TU,Sex,2,46.782,0.914,Male,50.145,0.97,1.071886623,0.02947,35.3364,0.879,Male,36.4265,0.852,1.030849209,0.0351978,-0.041037,-0.893942595,Little or no detectable change
|
|||
|
TU-18.2,"TU-18.2. Adolescents and young adults exposed to tobacco marketing in magazines and newspapers (percent, grades 6-12)",TU,Race and ethnicity,6,41.923,2.618,"Asian only, not Hispanic or Latino",51.5408,4.236215853,1.229415834,0.126905098,28.6035,3.6246,"Asian only, not Hispanic or Latino",37.27566,4.898925844,1.303185275,0.237916017,0.073769441,0.2735789,Little or no detectable change
|
|||
|
TU-18.3,"TU-18.3. Adolescents and young adults exposed to tobacco marketing in movies and television (percent, grades 6-12)",TU,Sex,2,76.4,1.3,Female,78.8,1.1,1.031413613,0.0227004,31.6947,0.9163,Male,38.0429,0.8433,1.200292162,0.0437272,0.16887855,3.427723086,Increase
|
|||
|
TU-18.3,"TU-18.3. Adolescents and young adults exposed to tobacco marketing in movies and television (percent, grades 6-12)",TU,Race and ethnicity,6,74.5,2.8,"Asian only, not Hispanic or Latino",80.32,2.831960452,1.078120805,0.0555594,25.4216,2.8065,"Asian only, not Hispanic or Latino",38.42282,4.127225566,1.511424143,0.232808233,0.433303338,1.810363595,Little or no detectable change
|
|||
|
TU-18.4,"TU-18.4. Adolescents and young adults exposed to tobacco marketing at point of purchase (percent, grades 6-12)",TU,Sex,2,84.2,0.7,Male,87.1,0.8,1.034441805,0.0128152,66.5469,0.6899,Male,69.9004,0.8296,1.050393031,0.0165527,0.0159512,0.761984393,Little or no detectable change
|
|||
|
TU-18.4,"TU-18.4. Adolescents and young adults exposed to tobacco marketing at point of purchase (percent, grades 6-12)",TU,Race and ethnicity,6,75,7.9,"White only, not Hispanic or Latino",83.38,2.096425529,1.111733333,0.120392471,57.0957,2.2384,"Asian only, not Hispanic or Latino",68.45772,2.940093455,1.198999574,0.069722377,0.087266241,0.627253992,Little or no detectable change
|
|||
|
V-1,V-1. Preschool children ages 5 years and under receiving vision screening (percent),V,Sex,2,40.294535878,1.643775576,Female,39.956055713,1.53311561,1.008471311,0.0564781,50.428195455,1.590238048,Male,49.447778114,1.652825149,1.019827329,0.0468645,0.011356,0.154735715,Little or no detectable change
|
|||
|
V-1,V-1. Preschool children ages 5 years and under receiving vision screening (percent),V,Race and ethnicity,5,45.452143405,5.011529298,Two or more races,37.883995609,3.293001778,1.199771636,0.168450717,54.338001126,3.237479658,"Black or African American only, not Hispanic or Latino",49.297583382,4.410527883,1.102244723,0.118481023,-0.097526914,-0.473557755,Little or no detectable change
|
|||
|
V-1,V-1. Preschool children ages 5 years and under receiving vision screening (percent),V,Family income,5,46.511282261,3.703316344,At or above 600% of the poverty threshold,39.753560454,3.036540546,1.169990354,0.12909283,55.722765618,2.854449874,At 400%-599% of the poverty threshold,49.521509354,3.167701959,1.125223491,0.092211824,-0.044767,-0.282184068,Little or no detectable change
|
|||
|
V-1,V-1. Preschool children ages 5 years and under receiving vision screening (percent),V,Geographic location,2,40.819925413,3.021658462,Nonmetropolitan,39.978659314,1.26668649,1.021042879,0.082214232,50.534429112,1.230242221,Metropolitan,45.452832792,3.096820861,1.111799331,0.080440168,0.090756452,0.789043345,Little or no detectable change
|
|||
|
V-2,"V-2. Blindness and visual impairment in children and adolescents ages 17 years and under (per 1,000 population)",V,Sex,2,24.779735902,2.820396422,Male,31.698785737,3.082738284,1.279222098,0.191509602,36.339694666,3.483586855,Female,39.664188102,4.161224329,1.091483802,0.155113142,-0.187738295,-0.76178028,Little or no detectable change
|
|||
|
V-2,"V-2. Blindness and visual impairment in children and adolescents ages 17 years and under (per 1,000 population)",V,Race and ethnicity,4,24.451654947,2.430459235,"White only, not Hispanic or Latino",33.753261436,9.209046671,1.380408055,0.400838307,29.405238633,3.088106673,"White only, not Hispanic or Latino",52.583504183,13.142771409,1.788235928,0.48480477,0.407827873,0.648320913,Little or no detectable change
|
|||
|
V-2,"V-2. Blindness and visual impairment in children and adolescents ages 17 years and under (per 1,000 population)",V,Family income,5,15.051455046,3.717412655,At or above 600% of the poverty threshold,30.515821045,5.960991098,2.027433291,0.638423802,23.568983123,4.96456444,At or above 600% of the poverty threshold,41.927870588,7.757810992,1.778942705,0.498752506,-0.248490586,-0.306722638,Little or no detectable change
|
|||
|
V-2,"V-2. Blindness and visual impairment in children and adolescents ages 17 years and under (per 1,000 population)",V,Geographic location,2,27.817955717,2.292624286,Metropolitan,29.92657267,5.175476352,1.075800572,0.206094386,35.278369081,7.025458208,Nonmetropolitan,38.409484061,2.901263098,1.088754528,0.231891128,0.012954,0.0417547,Little or no detectable change
|
|||
|
V-3.1,"V-3.1. Occupational eye injuries resulting in lost work days (per 10,000 full-time workers in private industry)",V,Sex,2,1.3,,Female,4,,3.076923077,,1,,Female,2.7,,2.7,,-0.376923077,,Decrease
|
|||
|
V-3.2,"V-3.2. Occupational eye injuries treated in emergency departments (per 10,000 full-time workers)",V,Sex,2,5.1,0.74,Female,18.7,3.05,3.666666667,0.80043908,4.200831917,0.555008065,Female,12.384884777,1.605131702,2.948198124,0.5456361,-0.718468543,-0.741666715,Little or no detectable change
|
|||
|
V-4,"V-4. Adults receiving a dilated eye examination within the past 2 years (age-adjusted percent, ages 18 and over)",V,Sex,2,58.924997049,0.573223599,Female,50.974940748,0.619645209,1.155960089,0.0179974,62.263137937,0.540468764,Female,55.071142136,0.600317022,1.130594637,0.0157545,-0.025365,-1.060481601,Little or no detectable change
|
|||
|
V-4,"V-4. Adults receiving a dilated eye examination within the past 2 years (age-adjusted percent, ages 18 and over)",V,Race and ethnicity,6,57.611546324,3.918359015,Two or more races,52.571063628,2.731402151,1.095879413,0.093794042,61.147944178,1.554871537,Asian only,57.482007099,2.55477824,1.063775384,0.0544704,-0.032104,-0.295989082,Little or no detectable change
|
|||
|
V-4,"V-4. Adults receiving a dilated eye examination within the past 2 years (age-adjusted percent, ages 18 and over)",V,Educational attainment,6,66.499456686,1.290912219,Advanced degree,55.919153124,1.183801878,1.189207149,0.0341575,67.002192095,0.994876761,Advanced degree,57.715669306,1.163794543,1.160901241,0.0290706,-0.028306,-0.631075105,Little or no detectable change
|
|||
|
V-4,"V-4. Adults receiving a dilated eye examination within the past 2 years (age-adjusted percent, ages 18 and over)",V,Family income,5,63.505457034,1.094477578,At or above 600% of the poverty threshold,51.449643518,1.16841774,1.234322586,0.0351893,65.99958826,0.960331474,At or above 600% of the poverty threshold,55.382251149,1.119163414,1.191710104,0.0296753,-0.042612,-0.925721377,Little or no detectable change
|
|||
|
V-4,"V-4. Adults receiving a dilated eye examination within the past 2 years (age-adjusted percent, ages 18 and over)",V,Disability status,2,59.89666447,1.65892013,People with disabilities,56.593047722,0.590144619,1.058374957,0.031322,60.233149855,1.562452574,People with disabilities,58.927538589,0.617215149,1.022156216,0.0285947,-0.036219,-0.853986488,Little or no detectable change
|
|||
|
V-4,"V-4. Adults receiving a dilated eye examination within the past 2 years (age-adjusted percent, ages 18 and over)",V,Geographic location,2,55.710156668,0.474725165,Metropolitan,51.802863007,1.037453678,1.075426211,0.0234061,59.275523733,0.460006972,Metropolitan,55.233141392,1.214449461,1.073187623,0.0250235,-0.0022386,-0.065333486,Little or no detectable change
|
|||
|
V-5.2,"V-5.2. Visual impairment due to diabetic retinopathy (age adjusted, per 1,000 population, ages 18 years and over with diabetes)",V,Sex,2,27.752144718,7.950567862,Male,40.178587766,10.606095313,1.447765143,0.563989029,27.211534334,7.388142643,Male,38.585037623,9.079750767,1.417966262,0.509464415,-0.029799,-0.039208,Little or no detectable change
|
|||
|
V-5.3,"V-5.3. Visual impairment due to glaucoma (age adjusted, per 1,000 population, ages 45 and over)",V,Sex,2,13.000260864,1.579532219,Female,15.154999111,1.906386034,1.16574577,0.203875659,11.93850485,1.348740473,Male,14.254327294,1.394470623,1.193979269,0.178432664,0.0282335,0.104209262,Little or no detectable change
|
|||
|
V-5.3,"V-5.3. Visual impairment due to glaucoma (age adjusted, per 1,000 population, ages 45 and over)",V,Race and ethnicity,3,11.244599426,1.292045187,"White only, not Hispanic or Latino",24.011624334,6.81175656,2.135391704,0.653585001,10.917819139,1.015236602,"White only, not Hispanic or Latino",18.357201907,4.899074304,1.681398242,0.475181993,-0.453993462,-0.561826938,Little or no detectable change
|
|||
|
V-5.3,"V-5.3. Visual impairment due to glaucoma (age adjusted, per 1,000 population, ages 45 and over)",V,Educational attainment,6,9.14668372,1.631220016,4-year college degree,15.524274127,2.998525989,1.697257127,0.44619597,11.327064297,2.507022924,Associates degree,13.937724826,3.015862297,1.23047989,0.380868732,-0.466777237,-0.795673006,Little or no detectable change
|
|||
|
V-5.3,"V-5.3. Visual impairment due to glaucoma (age adjusted, per 1,000 population, ages 45 and over)",V,Family income,4,12.943287819,2.233252484,At 200%-399% of the poverty threshold,19.661920461,5.007203499,1.51908238,0.467287115,7.719329113,1.784439468,At or above 600% of the poverty threshold,18.223057069,3.896806986,2.360704771,0.743395555,0.841622392,0.958499137,Little or no detectable change
|
|||
|
V-5.3,"V-5.3. Visual impairment due to glaucoma (age adjusted, per 1,000 population, ages 45 and over)",V,Disability status,2,8.298544037,1.438708595,People without disabilities,26.657554603,3.277420371,3.212317062,0.682738528,6.756849179,1.431962098,People without disabilities,22.907810359,2.804861914,3.390309559,0.82979606,0.177992496,0.165641194,Little or no detectable change
|
|||
|
V-5.3,"V-5.3. Visual impairment due to glaucoma (age adjusted, per 1,000 population, ages 45 and over)",V,Geographic location,2,13.709597119,2.413088802,Nonmetropolitan,13.89646785,1.402982111,1.013630651,0.205679553,13.082425278,1.054596635,Metropolitan,13.976360177,2.388567994,1.068330977,0.201870047,0.0547003,0.189804048,Little or no detectable change
|
|||
|
V-5.4,"V-5.4. Visual impairment due to cataract (age adjusted, per 1,000 population, ages 65 and over)",V,Sex,2,103.023936,8.814273217,Male,114.652224491,7.486273968,1.112869775,0.119773228,140.359042939,6.988376964,Female,142.848396951,7.783483087,1.017735615,0.075118849,-0.09513416,-0.672894125,Little or no detectable change
|
|||
|
V-5.4,"V-5.4. Visual impairment due to cataract (age adjusted, per 1,000 population, ages 65 and over)",V,Race and ethnicity,4,86.453674009,13.15756557,"Black or African American only, not Hispanic or Latino",105.924534163,20.161174749,1.225217267,0.298586096,124.114481086,17.88579586,"Black or African American only, not Hispanic or Latino",140.965751417,24.097141615,1.135771992,0.253937099,-0.089445275,-0.228196245,Little or no detectable change
|
|||
|
V-5.4,"V-5.4. Visual impairment due to cataract (age adjusted, per 1,000 population, ages 65 and over)",V,Educational attainment,6,70.385096568,13.907747262,4-year college degree,119.148074326,18.885596704,1.692802598,0.428809737,134.509114501,10.341014436,High school graduate,146.222939061,15.505812024,1.087085731,0.142385176,-0.605716867,-1.34058255,Little or no detectable change
|
|||
|
V-5.4,"V-5.4. Visual impairment due to cataract (age adjusted, per 1,000 population, ages 65 and over)",V,Family income,5,74.488385561,12.718783091,At or above 600% of the poverty threshold,115.214054712,17.753743831,1.546738513,0.355749485,134.975233792,12.568831692,At or above 600% of the poverty threshold,143.344588738,14.877688791,1.062006597,0.148086324,-0.484731916,-1.257931595,Little or no detectable change
|
|||
|
V-5.4,"V-5.4. Visual impairment due to cataract (age adjusted, per 1,000 population, ages 65 and over)",V,Disability status,2,87.449544967,7.362816316,People without disabilities,159.385115398,11.14081969,1.822595137,0.199444183,116.436730178,9.595532269,People without disabilities,188.681963434,12.608536936,1.620467727,0.171929003,-0.202127411,-0.767610528,Little or no detectable change
|
|||
|
V-5.4,"V-5.4. Visual impairment due to cataract (age adjusted, per 1,000 population, ages 65 and over)",V,Geographic location,2,107.588164083,6.10837716,Metropolitan,118.03512883,12.762838744,1.097101432,0.133985736,139.091507675,5.952401623,Metropolitan,152.711375972,11.552114675,1.0979202,0.095423265,0.000818769,0.00497755,Little or no detectable change
|
|||
|
V-5.5,"V-5.5. Visual impairment due to age-related macular degeneration (age adjusted, per 1,000 population, ages 45 and over)",V,Sex,2,11.00833041,1.649236768,Male,19.196388368,1.856654962,1.743805614,0.310963817,13.77278748,1.481526413,Male,16.993430485,1.431640382,1.233841044,0.16858359,-0.50996457,-1.441711979,Little or no detectable change
|
|||
|
V-5.5,"V-5.5. Visual impairment due to age-related macular degeneration (age adjusted, per 1,000 population, ages 45 and over)",V,Educational attainment,6,10.000555197,1.730640404,4-year college degree,13.64075345,2.779544736,1.363999616,0.364647652,11.298625757,2.660342517,Advanced degree,16.37639313,2.946090336,1.4494146,0.429485762,0.085414984,0.151604769,Little or no detectable change
|
|||
|
V-5.5,"V-5.5. Visual impairment due to age-related macular degeneration (age adjusted, per 1,000 population, ages 45 and over)",V,Family income,5,9.476296922,2.070037701,At or above 600% of the poverty threshold,15.820732134,2.982793295,1.669505743,0.481743871,9.810675166,2.070582766,At or above 600% of the poverty threshold,17.80267819,3.314111497,1.814623141,0.510675788,0.145117399,0.206706746,Little or no detectable change
|
|||
|
V-5.5,"V-5.5. Visual impairment due to age-related macular degeneration (age adjusted, per 1,000 population, ages 45 and over)",V,Disability status,2,5.509254742,1.158811494,People without disabilities,36.110326596,4.978929079,6.554484824,1.648471845,5.668459614,1.029915724,People without disabilities,35.472417787,4.151978295,6.257858431,1.352513606,-0.296626392,-0.139110251,Little or no detectable change
|
|||
|
V-5.5,"V-5.5. Visual impairment due to age-related macular degeneration (age adjusted, per 1,000 population, ages 45 and over)",V,Geographic location,2,13.843539363,3.166741296,Nonmetropolitan,15.983195735,1.417030272,1.154559923,0.283250429,14.597205599,1.166752903,Metropolitan,21.758600975,3.139389947,1.490600432,0.245864529,0.33604051,0.895932289,Little or no detectable change
|
|||
|
V-6.1,"V-6.1. Use of protective eyewear at home by children and adolescents (percent, ages 6-17 years)",V,Sex,2,19.230699463,1.273437665,Male,12.187964132,1.365624791,1.577843457,0.205359133,22.082612572,1.176172768,Male,21.214171165,1.696046231,1.040936853,0.099998677,-0.536906604,-2.35060443,Decrease
|
|||
|
V-6.1,"V-6.1. Use of protective eyewear at home by children and adolescents (percent, ages 6-17 years)",V,Race and ethnicity,5,19.376876461,2.813503795,"Black or African American only, not Hispanic or Latino",15.633825932,3.836357033,1.239419995,0.353393719,22.499712246,4.292294297,Asian only,19.043872256,2.888000735,1.181467295,0.287927448,-0.057953,-0.127134098,Little or no detectable change
|
|||
|
V-6.1,"V-6.1. Use of protective eyewear at home by children and adolescents (percent, ages 6-17 years)",V,Family income,5,19.19793591,2.775086397,At 100%-199% of the poverty threshold,15.286829454,2.569940401,1.255848112,0.278440588,22.788781063,1.899965462,At 200%-399% of the poverty threshold,21.465438486,2.714029617,1.061649921,0.160787898,-0.194198192,-0.603980487,Little or no detectable change
|
|||
|
V-6.1,"V-6.1. Use of protective eyewear at home by children and adolescents (percent, ages 6-17 years)",V,Geographic location,2,16.841726711,2.050445486,Nonmetropolitan,16.450946392,1.078143317,1.023754276,0.141550975,27.634919205,2.574132166,Nonmetropolitan,20.767402129,1.032564525,1.330687345,0.140503427,0.306933069,1.538943949,Little or no detectable change
|
|||
|
V-6.2,"V-6.2. Use of protective eyewear at home by adults (age-adjusted percent, ages 18 and over)",V,Sex,2,42.115293741,1.002193393,Male,32.318240434,1.473143746,1.303143153,0.067007758,47.887907321,0.973030466,Male,42.103519858,1.46866981,1.13738489,0.0459148,-0.165758263,-2.040619866,Decrease
|
|||
|
V-6.2,"V-6.2. Use of protective eyewear at home by adults (age-adjusted percent, ages 18 and over)",V,Race and ethnicity,5,40.874034653,0.983681424,"White only, not Hispanic or Latino",33.435757808,5.185738828,1.22246473,0.191867873,47.895474488,0.928575916,"White only, not Hispanic or Latino",40.213123111,4.762132374,1.191040904,0.142923564,-0.031424,-0.131343215,Little or no detectable change
|
|||
|
V-6.2,"V-6.2. Use of protective eyewear at home by adults (age-adjusted percent, ages 18 and over)",V,Educational attainment,6,47.657505642,2.497195771,Associates degree,41.791402958,2.544290718,1.140366254,0.091599848,57.429373051,2.170170955,Associates degree,47.917697575,2.473457849,1.198500261,0.076671059,0.058134,0.486669064,Little or no detectable change
|
|||
|
V-6.2,"V-6.2. Use of protective eyewear at home by adults (age-adjusted percent, ages 18 and over)",V,Family income,5,41.61973807,1.820243489,At or above 600% of the poverty threshold,38.264395762,2.827645261,1.087688365,0.093399488,48.824313009,1.457983658,At 200%-399% of the poverty threshold,45.583648838,2.643672234,1.071092689,0.069870002,-0.016596,-0.142279124,Little or no detectable change
|
|||
|
V-6.2,"V-6.2. Use of protective eyewear at home by adults (age-adjusted percent, ages 18 and over)",V,Disability status,2,50.926807154,3.219084244,People with disabilities,43.497321546,1.115927747,1.17080329,0.079869809,51.216939296,3.060064547,People with disabilities,45.863440224,1.227742168,1.116726941,0.07311215,-0.054076,-0.499411854,Little or no detectable change
|
|||
|
V-6.2,"V-6.2. Use of protective eyewear at home by adults (age-adjusted percent, ages 18 and over)",V,Geographic location,2,41.996198494,1.781219013,Nonmetropolitan,39.211500621,1.009773459,1.071017376,0.0531434,52.60776116,2.298339398,Nonmetropolitan,45.349641261,0.918690266,1.160048011,0.0558638,0.089030636,1.154686882,Little or no detectable change
|
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V-7.1,"V-7.1. Use of vision rehabilitation services by persons with visual impairment (age adjusted, per 1,000 population, ages 18 and over)",V,Sex,2,31.234327173,7.03060385,Male,29.524871829,5.528317417,1.057898824,0.309742844,48.352832829,8.484240884,Female,34.530499816,10.190101315,1.400293453,0.480761009,0.34239463,0.598694694,Little or no detectable change
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V-7.2,"V-7.2. Use of assistive and adaptive devices by persons with visual impairment (age-adjusted percent, ages 18 and over)",V,Sex,2,11.584149695,0.965692015,Female,10.71540797,1.0350526,1.081074069,0.137937511,12.709780815,0.872148289,Female,12.200851404,1.2298812,1.041712615,0.127028996,-0.039361,-0.209907241,Little or no detectable change
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V-7.2,"V-7.2. Use of assistive and adaptive devices by persons with visual impairment (age-adjusted percent, ages 18 and over)",V,Race and ethnicity,3,11.972688846,1.846253254,"Black or African American only, not Hispanic or Latino",9.240181883,1.697250128,1.295720041,0.310751878,13.896862197,0.974493779,"White only, not Hispanic or Latino",9.01013865,2.423286888,1.542358307,0.428686781,0.246638267,0.465820538,Little or no detectable change
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V-7.2,"V-7.2. Use of assistive and adaptive devices by persons with visual impairment (age-adjusted percent, ages 18 and over)",V,Educational attainment,6,15.71747014,2.443023276,Associates degree,11.288695713,2.000194381,1.392319409,0.328169268,17.997667928,2.1492505,Some college,12.913099315,2.28108478,1.393752769,0.297185085,0.00143336,0.00323752,Little or no detectable change
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V-7.2,"V-7.2. Use of assistive and adaptive devices by persons with visual impairment (age-adjusted percent, ages 18 and over)",V,Family income,5,12.657858436,1.936781257,At 100%-199% of the poverty threshold,10.573215495,1.913937432,1.197162627,0.283753974,14.923964988,2.035918717,At 400%-599% of the poverty threshold,11.958741478,1.900932859,1.247954479,0.261409315,0.0507919,0.131649118,Little or no detectable change
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