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 6fd18f42..7a932a8c 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
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "6ef80f77",
    "metadata": {},
    "outputs": [],
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "9838abab",
    "metadata": {},
    "outputs": [
@@ -36,9 +36,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_89746/824922383.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_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",
       "  scores_v2 = pd.read_csv(\n",
-      "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_89746/824922383.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_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",
       "  scores_v1 = pd.read_csv(\n"
      ]
     }
@@ -85,7 +85,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "7a667fe6",
    "metadata": {},
    "outputs": [
@@ -103,7 +103,7 @@
        " 'special_territory_percentile'}"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -114,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "d9ae51e6",
    "metadata": {},
    "outputs": [],
@@ -128,7 +128,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "003708c1",
    "metadata": {},
    "outputs": [],
@@ -143,7 +143,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "02c68918",
    "metadata": {},
    "outputs": [],
@@ -164,7 +164,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "7ef0f620",
    "metadata": {},
    "outputs": [
@@ -214,7 +214,7 @@
        "poverty_rate__v2          0.956505          1.000000"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -225,7 +225,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "85d5f2c9",
    "metadata": {},
    "outputs": [
@@ -275,7 +275,7 @@
        "is_dac_final__v2          0.962806          1.000000"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -294,7 +294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "e357c808",
    "metadata": {},
    "outputs": [],
@@ -316,7 +316,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "5f702487",
    "metadata": {
     "scrolled": true
@@ -326,7 +326,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_89746/4229035723.py:3: SettingWithCopyWarning: \n",
+      "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_13782/4229035723.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",
@@ -453,7 +453,7 @@
        "69512              True              True  "
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -476,7 +476,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "f81183d1",
    "metadata": {},
    "outputs": [
@@ -506,7 +506,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "5ecc65f4",
    "metadata": {},
    "outputs": [
@@ -516,7 +516,7 @@
        "28567"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -535,7 +535,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "id": "cd780f0e",
    "metadata": {},
    "outputs": [],
@@ -557,7 +557,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "id": "0cde2c5d",
    "metadata": {},
    "outputs": [
@@ -572,7 +572,7 @@
        "Name: university_attendance_bucketed, dtype: float64"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -583,7 +583,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "id": "b0dde6f2",
    "metadata": {},
    "outputs": [
@@ -595,7 +595,7 @@
        "Name: Urban Heuristic Flag, dtype: float64"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -606,7 +606,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "id": "2660c11b",
    "metadata": {},
    "outputs": [
@@ -616,7 +616,7 @@
        "0.8198511256593899"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -628,7 +628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "id": "e3f0acd2",
    "metadata": {},
    "outputs": [
@@ -640,7 +640,7 @@
        "Name: rural_flag_string, dtype: float64"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -653,7 +653,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "id": "b2233469",
    "metadata": {},
    "outputs": [
@@ -727,7 +727,7 @@
        "4    AL         01   01073004000"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -776,7 +776,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "id": "a2fae4f3",
    "metadata": {},
    "outputs": [
@@ -862,7 +862,7 @@
        "4   01073004000         01    AL  East South Central  South"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -913,7 +913,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "id": "0c646df4",
    "metadata": {},
    "outputs": [],
@@ -944,7 +944,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "id": "2c3708eb",
    "metadata": {},
    "outputs": [
@@ -1016,7 +1016,7 @@
        "poverty_rate__v1  0.376717  1.0  "
       ]
      },
-     "execution_count": 22,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1027,7 +1027,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "id": "e8ae5cea",
    "metadata": {},
    "outputs": [
@@ -1069,7 +1069,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "id": "e114b4b0",
    "metadata": {},
    "outputs": [
@@ -1126,7 +1126,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "id": "69b586c6",
    "metadata": {},
    "outputs": [
@@ -1174,7 +1174,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "id": "49e784dd",
    "metadata": {},
    "outputs": [
@@ -1234,7 +1234,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "id": "743a7eaf",
    "metadata": {},
    "outputs": [
@@ -1290,7 +1290,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "id": "dae59dfb",
    "metadata": {},
    "outputs": [
@@ -1337,7 +1337,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "id": "7f2912ee",
    "metadata": {},
    "outputs": [
@@ -1396,7 +1396,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 29,
    "id": "e64e2017",
    "metadata": {},
    "outputs": [
@@ -1494,7 +1494,7 @@
        "v2_vs_v1_percentiles -0.006966  0.027572  0.971227  "
       ]
      },
-     "execution_count": 30,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1512,7 +1512,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 30,
    "id": "1a3dbd92",
    "metadata": {},
    "outputs": [
@@ -1555,7 +1555,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 31,
    "id": "478f9171",
    "metadata": {},
    "outputs": [
@@ -1611,7 +1611,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 32,
    "id": "ed8ea9e4",
    "metadata": {},
    "outputs": [
@@ -1671,7 +1671,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 33,
    "id": "e1dc1827",
    "metadata": {},
    "outputs": [
@@ -1721,6 +1721,88 @@
     "plt.subplots_adjust(hspace=0.65)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "e6c27fcf",
+   "metadata": {},
+   "source": [
+    "### Distribution of Adjustments, by University Enrollment Rate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "b04d3cce",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['v2_vs_v1', 'v2_vs_v1_percentiles']"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "adjustments"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "ca33c3db",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1500x1800 with 10 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(5, 2, figsize=(15,18), sharex=True)\n",
+    "\n",
+    "for b, bucket in enumerate(scores['university_attendance_bucketed'].unique()):\n",
+    "    bucket_df = scores[scores.university_attendance_bucketed==bucket]\n",
+    "    # hide unused column\n",
+    "    ax[b][1].get_xaxis().set_visible(False)\n",
+    "    ax[b][1].get_yaxis().set_visible(False)\n",
+    "    ax[b][1].spines[['right', 'top', 'left', 'bottom']].set_visible(False)\n",
+    "    for m, method in enumerate(['v2_vs_unadjusted']):\n",
+    "        nice_method = method.replace('_vs_', ' - ')\n",
+    "        if 'v1' in method and 'v2' in method:\n",
+    "            c=added_color\n",
+    "        elif 'v1' in method:\n",
+    "            c=v1_color\n",
+    "        elif 'v2' in method:\n",
+    "            c=v2_color\n",
+    "        ax[b][m].hist(bucket_df[method], \n",
+    "                      bins=40, alpha=0.4, color=c)\n",
+    "        if m==0:\n",
+    "            ax[b][m].set_ylabel(f'Tracts with {bucket}\\nUniversity Enrollment\\n(N={len(bucket_df)} tracts)',\n",
+    "                               fontweight='bold')\n",
+    "        if b==0:\n",
+    "            if 'percentiles' in method:\n",
+    "                ax[b][m].set_title(nice_method.replace('_percentiles', ' (percentiles)'),\n",
+    "                                   fontweight='bold')\n",
+    "            else:\n",
+    "                ax[b][m].set_title(nice_method + ' (rates)',\n",
+    "                                   fontweight='bold')\n",
+    "        ax[b][m].xaxis.set_tick_params(labelbottom=True)\n",
+    "        ax[b][m].set_xlabel(f\"Tract-Level Adjustments to Poverty Rate\\n({nice_method})\")\n",
+    "        ax[b][m].spines[['right', 'top']].set_visible(False)\n",
+    "        ax[b][m].axvline(x=0, color='grey', linestyle='dotted', linewidth=1)\n",
+    "plt.subplots_adjust(hspace=0.65)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "6b4d7a10",
@@ -1731,7 +1813,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 36,
    "id": "f29535d7",
    "metadata": {},
    "outputs": [
@@ -1803,7 +1885,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 37,
    "id": "0cae7784",
    "metadata": {},
    "outputs": [
@@ -1872,7 +1954,7 @@
        "0                                       0.017336  "
       ]
      },
-     "execution_count": 36,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1929,7 +2011,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 38,
    "id": "9a5aae6f",
    "metadata": {},
    "outputs": [
@@ -2136,7 +2218,7 @@
        "West                                                    0.012149  "
       ]
      },
-     "execution_count": 37,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2175,7 +2257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 39,
    "id": "85c31d93",
    "metadata": {},
    "outputs": [
@@ -2309,7 +2391,7 @@
        "5                                       0.000000  "
       ]
      },
-     "execution_count": 38,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2323,7 +2405,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 40,
    "id": "00e17238",
    "metadata": {},
    "outputs": [
@@ -2380,7 +2462,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 41,
    "id": "e9ec8b3c",
    "metadata": {},
    "outputs": [
@@ -2692,7 +2774,7 @@
        "West South Central                                       0.019230  "
       ]
      },
-     "execution_count": 40,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2731,7 +2813,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 42,
    "id": "2d365676",
    "metadata": {},
    "outputs": [
@@ -2935,7 +3017,7 @@
        "10                                       0.000000  "
       ]
      },
-     "execution_count": 41,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2957,7 +3039,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 43,
    "id": "232eae57",
    "metadata": {},
    "outputs": [
@@ -3747,7 +3829,7 @@
        "WY                                                                                      0.048475  "
       ]
      },
-     "execution_count": 42,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3797,7 +3879,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 44,
    "id": "5ea41bc8",
    "metadata": {},
    "outputs": [
@@ -3981,7 +4063,7 @@
        "4                                       0.000000  "
       ]
      },
-     "execution_count": 43,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4027,7 +4109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 45,
    "id": "edf2064c",
    "metadata": {
     "scrolled": true
@@ -4149,7 +4231,7 @@
        "4                                       0.000000  "
       ]
      },
-     "execution_count": 44,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4163,7 +4245,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 46,
    "id": "9ad73daf",
    "metadata": {},
    "outputs": [
@@ -4221,7 +4303,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 47,
    "id": "c47f973f",
    "metadata": {},
    "outputs": [
@@ -4333,7 +4415,7 @@
        "1                                       0.050014  "
       ]
      },
-     "execution_count": 46,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4379,7 +4461,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 48,
    "id": "a8761551",
    "metadata": {},
    "outputs": [
@@ -4457,7 +4539,7 @@
        "1                                       0.050014  "
       ]
      },
-     "execution_count": 47,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4471,7 +4553,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 49,
    "id": "9b696001",
    "metadata": {},
    "outputs": [
@@ -4529,7 +4611,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 50,
    "id": "44c871fc",
    "metadata": {},
    "outputs": [],
@@ -4547,7 +4629,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 51,
    "id": "e117ec65",
    "metadata": {},
    "outputs": [],
@@ -4565,7 +4647,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 52,
    "id": "f6c84a56",
    "metadata": {},
    "outputs": [
@@ -4628,7 +4710,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 53,
    "id": "551ee3df",
    "metadata": {},
    "outputs": [
@@ -4684,7 +4766,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 54,
    "id": "cb36d733",
    "metadata": {},
    "outputs": [
@@ -4703,7 +4785,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 55,
    "id": "bd7690a2",
    "metadata": {},
    "outputs": [
@@ -4722,7 +4804,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 56,
    "id": "890c49cb",
    "metadata": {},
    "outputs": [
@@ -4749,7 +4831,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 57,
    "id": "71465e63",
    "metadata": {},
    "outputs": [