diff --git a/data/data-pipeline/data_pipeline/ipython/v2_vs_v1_analysis_of_changes.ipynb b/data/data-pipeline/data_pipeline/ipython/v2_vs_v1_analysis_of_changes.ipynb
index 7a932a8c..f7c70b67 100644
--- a/data/data-pipeline/data_pipeline/ipython/v2_vs_v1_analysis_of_changes.ipynb
+++ b/data/data-pipeline/data_pipeline/ipython/v2_vs_v1_analysis_of_changes.ipynb
@@ -36,9 +36,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_13782/824922383.py:28: DtypeWarning: Columns (1,2,3,78,79,81,82) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_35757/824922383.py:28: DtypeWarning: Columns (1,2,3,79,80,82,83) have mixed types. Specify dtype option on import or set low_memory=False.\n",
       "  scores_v2 = pd.read_csv(\n",
-      "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_13782/824922383.py:34: DtypeWarning: Columns (1,2,3,76,77,79,80) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_35757/824922383.py:34: DtypeWarning: Columns (1,2,3,76,77,79,80) have mixed types. Specify dtype option on import or set low_memory=False.\n",
       "  scores_v1 = pd.read_csv(\n"
      ]
     }
@@ -92,7 +92,9 @@
     {
      "data": {
       "text/plain": [
-       "{'Percentage households below 200% of federal poverty line in 2009',\n",
+       "{'Estimated population count of off-campus university students <200% FPL',\n",
+       " 'Estimated population count of off-campus university students <200% FPL (percentile)',\n",
+       " 'Percentage households below 200% of federal poverty line in 2009',\n",
        " 'Percentage households below 200% of federal poverty line in 2009 (percentile)',\n",
        " 'Percentage households below 200% of federal poverty line in 2009, adjusted and imputed',\n",
        " 'Percentage households below 200% of federal poverty line in 2009, adjusted and imputed (percentile)',\n",
@@ -258,11 +260,11 @@
        "    <tr>\n",
        "      <th>is_dac_final__v1</th>\n",
        "      <td>1.000000</td>\n",
-       "      <td>0.962806</td>\n",
+       "      <td>0.962751</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>is_dac_final__v2</th>\n",
-       "      <td>0.962806</td>\n",
+       "      <td>0.962751</td>\n",
        "      <td>1.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -271,8 +273,8 @@
       ],
       "text/plain": [
        "                  is_dac_final__v1  is_dac_final__v2\n",
-       "is_dac_final__v1          1.000000          0.962806\n",
-       "is_dac_final__v2          0.962806          1.000000"
+       "is_dac_final__v1          1.000000          0.962751\n",
+       "is_dac_final__v2          0.962751          1.000000"
       ]
      },
      "execution_count": 8,
@@ -326,7 +328,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_13782/4229035723.py:3: SettingWithCopyWarning: \n",
+      "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_35757/4229035723.py:3: SettingWithCopyWarning: \n",
       "A value is trying to be set on a copy of a slice from a DataFrame.\n",
       "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
@@ -484,7 +486,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Number of tracts added to DAC list in v2: 1319\n",
+      "Number of tracts added to DAC list in v2: 1321\n",
       "Number of tracts that would have been removed in v2, but grandfathered in: 1505\n"
      ]
     }
@@ -513,7 +515,7 @@
     {
      "data": {
       "text/plain": [
-       "28567"
+       "28569"
       ]
      },
      "execution_count": 12,
@@ -1923,11 +1925,11 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>328230505.0</td>\n",
-       "      <td>0.385343</td>\n",
+       "      <td>0.38537</td>\n",
        "      <td>0.367551</td>\n",
-       "      <td>0.350878</td>\n",
+       "      <td>0.350888</td>\n",
        "      <td>0.332602</td>\n",
-       "      <td>0.018276</td>\n",
+       "      <td>0.018287</td>\n",
        "      <td>0.017336</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1936,19 +1938,19 @@
       ],
       "text/plain": [
        "   Total Population  Percent of Tracts that are Disadvantaged, v2  \\\n",
-       "0       328230505.0                                      0.385343   \n",
+       "0       328230505.0                                       0.38537   \n",
        "\n",
        "   Percent of Tracts that are Disadvantaged, v1  \\\n",
        "0                                      0.367551   \n",
        "\n",
        "   Percent of Population in Disadvantaged Tracts, v2  \\\n",
-       "0                                           0.350878   \n",
+       "0                                           0.350888   \n",
        "\n",
        "   Percent of Population in Disadvantaged Tracts, v1  \\\n",
        "0                                           0.332602   \n",
        "\n",
        "   Percent of Population in Newly Added Disadvantaged Tracts  \\\n",
-       "0                                           0.018276           \n",
+       "0                                           0.018287           \n",
        "\n",
        "   Percent of Population in Grandfathered Tracts  \n",
        "0                                       0.017336  "
@@ -2092,13 +2094,13 @@
        "      <th>Other Territories</th>\n",
        "      <td>337961.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>280683.0</td>\n",
+       "      <td>284155.0</td>\n",
        "      <td>127244.0</td>\n",
-       "      <td>0.734848</td>\n",
+       "      <td>0.750000</td>\n",
        "      <td>0.386364</td>\n",
-       "      <td>0.830519</td>\n",
+       "      <td>0.840792</td>\n",
        "      <td>0.376505</td>\n",
-       "      <td>0.454014</td>\n",
+       "      <td>0.464287</td>\n",
        "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -2158,7 +2160,7 @@
        "region                                                      \n",
        "Midwest                    18773895.0          17687834.0   \n",
        "Northeast                  15601926.0          14995061.0   \n",
-       "Other Territories            280683.0            127244.0   \n",
+       "Other Territories            284155.0            127244.0   \n",
        "Puerto Rico                 3138133.0           3060023.0   \n",
        "South                      50810588.0          48453672.0   \n",
        "West                       26563598.0          24846128.0   \n",
@@ -2167,7 +2169,7 @@
        "region                                                            \n",
        "Midwest                                                0.331832   \n",
        "Northeast                                              0.304380   \n",
-       "Other Territories                                      0.734848   \n",
+       "Other Territories                                      0.750000   \n",
        "Puerto Rico                                            0.885714   \n",
        "South                                                  0.459632   \n",
        "West                                                   0.356642   \n",
@@ -2185,7 +2187,7 @@
        "region                                                                 \n",
        "Midwest                                                     0.275707   \n",
        "Northeast                                                   0.278723   \n",
-       "Other Territories                                           0.830519   \n",
+       "Other Territories                                           0.840792   \n",
        "Puerto Rico                                                 0.945663   \n",
        "South                                                       0.411749   \n",
        "West                                                        0.344525   \n",
@@ -2203,7 +2205,7 @@
        "region                                                                         \n",
        "Midwest                                                     0.015949           \n",
        "Northeast                                                   0.010841           \n",
-       "Other Territories                                           0.454014           \n",
+       "Other Territories                                           0.464287           \n",
        "Puerto Rico                                                 0.023538           \n",
        "South                                                       0.019100           \n",
        "West                                                        0.022275           \n",
@@ -2340,9 +2342,9 @@
        "      <th>5</th>\n",
        "      <td>Other Territories</td>\n",
        "      <td>337961.0</td>\n",
-       "      <td>0.830519</td>\n",
+       "      <td>0.840792</td>\n",
        "      <td>0.376505</td>\n",
-       "      <td>0.454014</td>\n",
+       "      <td>0.464287</td>\n",
        "      <td>0.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2364,7 +2366,7 @@
        "2                                           0.275707   \n",
        "3                                           0.344525   \n",
        "4                                           0.945663   \n",
-       "5                                           0.830519   \n",
+       "5                                           0.840792   \n",
        "\n",
        "   Percent of Population in Disadvantaged Tracts, v1  \\\n",
        "0                                           0.267882   \n",
@@ -2380,7 +2382,7 @@
        "2                                           0.015949           \n",
        "3                                           0.022275           \n",
        "4                                           0.023538           \n",
-       "5                                           0.454014           \n",
+       "5                                           0.464287           \n",
        "\n",
        "   Percent of Population in Grandfathered Tracts  \n",
        "0                                       0.014097  \n",
@@ -2411,7 +2413,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1500x450 with 2 Axes>"
       ]
@@ -2582,13 +2584,13 @@
        "      <th>Other Territories</th>\n",
        "      <td>337961.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>280683.0</td>\n",
+       "      <td>284155.0</td>\n",
        "      <td>127244.0</td>\n",
-       "      <td>0.734848</td>\n",
+       "      <td>0.750000</td>\n",
        "      <td>0.386364</td>\n",
-       "      <td>0.830519</td>\n",
+       "      <td>0.840792</td>\n",
        "      <td>0.376505</td>\n",
-       "      <td>0.454014</td>\n",
+       "      <td>0.464287</td>\n",
        "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -2682,7 +2684,7 @@
        "Middle Atlantic             12525373.0          12072679.0   \n",
        "Mountain                     7681757.0           7062671.0   \n",
        "New England                  3076553.0           2922382.0   \n",
-       "Other Territories             280683.0            127244.0   \n",
+       "Other Territories             284155.0            127244.0   \n",
        "Pacific                     18881841.0          17783457.0   \n",
        "Puerto Rico                  3138133.0           3060023.0   \n",
        "South Atlantic              22848067.0          21722405.0   \n",
@@ -2696,7 +2698,7 @@
        "Middle Atlantic                                         0.327486   \n",
        "Mountain                                                0.345143   \n",
        "New England                                             0.235259   \n",
-       "Other Territories                                       0.734848   \n",
+       "Other Territories                                       0.750000   \n",
        "Pacific                                                 0.362197   \n",
        "Puerto Rico                                             0.885714   \n",
        "South Atlantic                                          0.385671   \n",
@@ -2724,7 +2726,7 @@
        "Middle Atlantic                                              0.304120   \n",
        "Mountain                                                     0.318232   \n",
        "New England                                                  0.208005   \n",
-       "Other Territories                                            0.830519   \n",
+       "Other Territories                                            0.840792   \n",
        "Pacific                                                      0.356508   \n",
        "Puerto Rico                                                  0.945663   \n",
        "South Atlantic                                               0.354095   \n",
@@ -2752,7 +2754,7 @@
        "Middle Atlantic                                              0.010992           \n",
        "Mountain                                                     0.025647           \n",
        "New England                                                  0.010423           \n",
-       "Other Territories                                            0.454014           \n",
+       "Other Territories                                            0.464287           \n",
        "Pacific                                                      0.020739           \n",
        "Puerto Rico                                                  0.023538           \n",
        "South Atlantic                                               0.017445           \n",
@@ -2941,9 +2943,9 @@
        "      <th>10</th>\n",
        "      <td>Other Territories</td>\n",
        "      <td>337961.0</td>\n",
-       "      <td>0.830519</td>\n",
+       "      <td>0.840792</td>\n",
        "      <td>0.376505</td>\n",
-       "      <td>0.454014</td>\n",
+       "      <td>0.464287</td>\n",
        "      <td>0.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2975,7 +2977,7 @@
        "7                                            0.318232   \n",
        "8                                            0.356508   \n",
        "9                                            0.945663   \n",
-       "10                                           0.830519   \n",
+       "10                                           0.840792   \n",
        "\n",
        "    Percent of Population in Disadvantaged Tracts, v1  \\\n",
        "0                                            0.197581   \n",
@@ -3001,7 +3003,7 @@
        "7                                            0.025647           \n",
        "8                                            0.020739           \n",
        "9                                            0.023538           \n",
-       "10                                           0.454014           \n",
+       "10                                           0.464287           \n",
        "\n",
        "    Percent of Population in Grandfathered Tracts  \n",
        "0                                        0.007976  \n",
@@ -3179,9 +3181,9 @@
        "    <tr>\n",
        "      <th>GU (Guam)</th>\n",
        "      <td>153776.0</td>\n",
-       "      <td>0.744544</td>\n",
+       "      <td>0.759104</td>\n",
        "      <td>0.096894</td>\n",
-       "      <td>0.647650</td>\n",
+       "      <td>0.662210</td>\n",
        "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -3483,9 +3485,9 @@
        "    <tr>\n",
        "      <th>VI (U.S. Virgin Islands)</th>\n",
        "      <td>87146.0</td>\n",
-       "      <td>0.793507</td>\n",
+       "      <td>0.807656</td>\n",
        "      <td>0.199860</td>\n",
-       "      <td>0.593647</td>\n",
+       "      <td>0.607796</td>\n",
        "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -3606,7 +3608,7 @@
        "DE                                                                                          0.149640   \n",
        "FL                                                                                          0.415061   \n",
        "GA                                                                                          0.360561   \n",
-       "GU (Guam)                                                                                   0.744544   \n",
+       "GU (Guam)                                                                                   0.759104   \n",
        "HI                                                                                          0.157509   \n",
        "IA                                                                                          0.187499   \n",
        "ID                                                                                          0.357943   \n",
@@ -3644,7 +3646,7 @@
        "TX                                                                                          0.422952   \n",
        "UT                                                                                          0.208711   \n",
        "VA                                                                                          0.223368   \n",
-       "VI (U.S. Virgin Islands)                                                                    0.793507   \n",
+       "VI (U.S. Virgin Islands)                                                                    0.807656   \n",
        "VT                                                                                          0.171778   \n",
        "WA                                                                                          0.207612   \n",
        "WI                                                                                          0.174689   \n",
@@ -3724,7 +3726,7 @@
        "DE                                                                                          0.018485           \n",
        "FL                                                                                          0.018346           \n",
        "GA                                                                                          0.017855           \n",
-       "GU (Guam)                                                                                   0.647650           \n",
+       "GU (Guam)                                                                                   0.662210           \n",
        "HI                                                                                          0.010143           \n",
        "IA                                                                                          0.016288           \n",
        "ID                                                                                          0.032040           \n",
@@ -3762,7 +3764,7 @@
        "TX                                                                                          0.024105           \n",
        "UT                                                                                          0.068681           \n",
        "VA                                                                                          0.016189           \n",
-       "VI (U.S. Virgin Islands)                                                                    0.593647           \n",
+       "VI (U.S. Virgin Islands)                                                                    0.607796           \n",
        "VT                                                                                          0.031132           \n",
        "WA                                                                                          0.014538           \n",
        "WI                                                                                          0.012317           \n",
@@ -3984,14 +3986,14 @@
        "      <td>90-100%</td>\n",
        "      <td>1122179.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>702715.0</td>\n",
+       "      <td>706187.0</td>\n",
        "      <td>288407.0</td>\n",
-       "      <td>0.192015</td>\n",
+       "      <td>0.193916</td>\n",
        "      <td>0.097909</td>\n",
-       "      <td>0.626206</td>\n",
+       "      <td>0.629300</td>\n",
        "      <td>0.257006</td>\n",
-       "      <td>0.369200</td>\n",
-       "      <td>0.094106</td>\n",
+       "      <td>0.372294</td>\n",
+       "      <td>0.096008</td>\n",
        "      <td>0.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4011,14 +4013,14 @@
        "1           2403440.0           1594173.0   \n",
        "2            771047.0            464731.0   \n",
        "3            558456.0            228016.0   \n",
-       "4            702715.0            288407.0   \n",
+       "4            706187.0            288407.0   \n",
        "\n",
        "   Percent of Tracts that are Disadvantaged, v2  \\\n",
        "0                                      0.388705   \n",
        "1                                      0.336288   \n",
        "2                                      0.447301   \n",
        "3                                      0.512605   \n",
-       "4                                      0.192015   \n",
+       "4                                      0.193916   \n",
        "\n",
        "   Percent of Tracts that are Disadvantaged, v1  \\\n",
        "0                                      0.376207   \n",
@@ -4032,7 +4034,7 @@
        "1                                           0.303435   \n",
        "2                                           0.425976   \n",
        "3                                           0.479104   \n",
-       "4                                           0.626206   \n",
+       "4                                           0.629300   \n",
        "\n",
        "   Percent of Population in Disadvantaged Tracts, v1  \\\n",
        "0                                           0.337099   \n",
@@ -4046,14 +4048,14 @@
        "1                                           0.102170           \n",
        "2                                           0.169229           \n",
        "3                                           0.283487           \n",
-       "4                                           0.369200           \n",
+       "4                                           0.372294           \n",
        "\n",
        "   Percent of Tracts Re-Classified as Disadvantaged  \\\n",
        "0                                          0.012498   \n",
        "1                                          0.108587   \n",
        "2                                          0.174807   \n",
        "3                                          0.306723   \n",
-       "4                                          0.094106   \n",
+       "4                                          0.096008   \n",
        "\n",
        "   Percent of Population in Grandfathered Tracts  \n",
        "0                                       0.017995  \n",
@@ -4185,9 +4187,9 @@
        "      <th>4</th>\n",
        "      <td>90-100%</td>\n",
        "      <td>1122179.0</td>\n",
-       "      <td>0.192015</td>\n",
+       "      <td>0.193916</td>\n",
        "      <td>0.097909</td>\n",
-       "      <td>0.094106</td>\n",
+       "      <td>0.096008</td>\n",
        "      <td>0.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4207,7 +4209,7 @@
        "1                                      0.336288   \n",
        "2                                      0.447301   \n",
        "3                                      0.512605   \n",
-       "4                                      0.192015   \n",
+       "4                                      0.193916   \n",
        "\n",
        "   Percent of Tracts that are Disadvantaged, v1  \\\n",
        "0                                      0.376207   \n",
@@ -4221,7 +4223,7 @@
        "1                                          0.108587   \n",
        "2                                          0.174807   \n",
        "3                                          0.306723   \n",
-       "4                                          0.094106   \n",
+       "4                                          0.096008   \n",
        "\n",
        "   Percent of Population in Grandfathered Tracts  \n",
        "0                                       0.017995  \n",
@@ -4251,7 +4253,7 @@
    "outputs": [
     {
      "data": {
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",
       "text/plain": [
        "<Figure size 1500x400 with 2 Axes>"
       ]
@@ -4966,10 +4968,39 @@
     "census_acs['Estimated population count of off-campus university students <200% FPL'].sum()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "a3417fe5",
+   "metadata": {},
+   "source": [
+    "## How many donut holes?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "961d39e0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "274"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(scores[(scores.is_donut_hole__v2==True) & (scores.is_dac_raw__v2==False)])"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2cb57af3",
+   "id": "299f8307",
    "metadata": {},
    "outputs": [],
    "source": []