diff --git a/ntd/explore_new_dim_monthly_ridership.ipynb b/ntd/explore_new_dim_monthly_ridership.ipynb
index c77033351..553995e04 100644
--- a/ntd/explore_new_dim_monthly_ridership.ipynb
+++ b/ntd/explore_new_dim_monthly_ridership.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "6781e154-b5bf-482a-9682-7a70478378d2",
    "metadata": {},
    "outputs": [],
@@ -23,7 +23,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "d917c821-e6b0-4ab4-9b5f-d295db7e68ca",
    "metadata": {},
    "outputs": [],
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 15,
    "id": "cf74e852-9e21-4006-8aaf-6fb5d7fd0c71",
    "metadata": {},
    "outputs": [
@@ -51,22 +51,25 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "both          94185\n",
-      "left_only       819\n",
+      "both          95352\n",
+      "left_only         0\n",
       "right_only        0\n",
       "Name: _merge, dtype: int64\n"
      ]
     },
     {
-     "ename": "ValueError",
-     "evalue": "There are unmerged rows to crosswalk",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[5], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mmonthly_ridership_by_rtpa\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m produce_ntd_monthly_ridership_by_rtpa\n\u001b[0;32m----> 2\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mproduce_ntd_monthly_ridership_by_rtpa\u001b[49m\u001b[43m(\u001b[49m\u001b[43mYEAR\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mMONTH\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/data-analyses/ntd/monthly_ridership_by_rtpa.py:218\u001b[0m, in \u001b[0;36mproduce_ntd_monthly_ridership_by_rtpa\u001b[0;34m(year, month)\u001b[0m\n\u001b[1;32m    215\u001b[0m \u001b[38;5;28mprint\u001b[39m(df\u001b[38;5;241m.\u001b[39m_merge\u001b[38;5;241m.\u001b[39mvalue_counts())\n\u001b[1;32m    217\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(df[df\u001b[38;5;241m.\u001b[39m_merge\u001b[38;5;241m==\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mleft_only\u001b[39m\u001b[38;5;124m\"\u001b[39m]) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m--> 218\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThere are unmerged rows to crosswalk\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    220\u001b[0m df \u001b[38;5;241m=\u001b[39m add_change_columns(df)\n\u001b[1;32m    222\u001b[0m df \u001b[38;5;241m=\u001b[39m df\u001b[38;5;241m.\u001b[39massign(\n\u001b[1;32m    223\u001b[0m     Mode_full \u001b[38;5;241m=\u001b[39m df[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmode\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mmap(NTD_MODES),\n\u001b[1;32m    224\u001b[0m     TOS_full \u001b[38;5;241m=\u001b[39m df[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtos\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mmap(NTD_TOS)\n\u001b[1;32m    225\u001b[0m )\n",
-      "\u001b[0;31mValueError\u001b[0m: There are unmerged rows to crosswalk"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jovyan/data-analyses/ntd/monthly_ridership_by_rtpa.py:40: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.\n",
+      "To preserve the previous behavior, use\n",
+      "\n",
+      "\t>>> .groupby(..., group_keys=False)\n",
+      "\n",
+      "To adopt the future behavior and silence this warning, use \n",
+      "\n",
+      "\t>>> .groupby(..., group_keys=True)\n",
+      "  previous_y_m_upt = (df.sort_values(sort_cols2)\n"
      ]
     }
    ],
@@ -82,13 +85,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
    "id": "4f1c721b-f3f9-4e87-a189-044ad256a4b4",
    "metadata": {},
    "outputs": [],
    "source": [
     "# first part of that func, read in the warehouse data\n",
-    "full_upt = (tbls.mart_ntd.dim_monthly_ntd_ridership_with_adjustments() >> collect()).rename(columns = {\"mode_type_of_service_status\": \"Status\"})\n",
+    "# 12/10/2024: old table `mart_ntd.dim_monthly_ntd_ridership_with_adjustments` is deprecated\n",
+    "# replaced with `mart_ntd.dim_monthly_ridership_with_adjustments`\n",
+    "\n",
+    "full_upt = (tbls.mart_ntd.dim_monthly_ridership_with_adjustments() >> collect()).rename(columns = {\"mode_type_of_service_status\": \"Status\",\"primary_uza_name\":\"uza_name\"})\n",
     "    \n",
     "full_upt = full_upt[full_upt.agency.notna()].reset_index(drop=True)\n",
     "\n"
@@ -96,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 10,
    "id": "75e54dfc-98a6-4682-9bc0-a738ba13e636",
    "metadata": {},
    "outputs": [
@@ -105,34 +111,34 @@
      "output_type": "stream",
      "text": [
       "<class 'pandas.core.frame.DataFrame'>\n",
-      "RangeIndex: 627900 entries, 0 to 627899\n",
+      "RangeIndex: 630474 entries, 0 to 630473\n",
       "Data columns (total 22 columns):\n",
       " #   Column             Non-Null Count   Dtype              \n",
       "---  ------             --------------   -----              \n",
-      " 0   uza_name           626262 non-null  object             \n",
-      " 1   uace_cd            626262 non-null  object             \n",
-      " 2   _dt                627900 non-null  object             \n",
-      " 3   ts                 627900 non-null  datetime64[ns, UTC]\n",
-      " 4   ntd_id             627900 non-null  object             \n",
-      " 5   year               627900 non-null  int64              \n",
-      " 6   reporter_type      627900 non-null  object             \n",
-      " 7   agency             627900 non-null  object             \n",
-      " 8   Status             627900 non-null  object             \n",
-      " 9   mode               627900 non-null  object             \n",
-      " 10  mode_full_name     627354 non-null  object             \n",
-      " 11  service_type       627900 non-null  object             \n",
-      " 12  _3_mode            627900 non-null  object             \n",
-      " 13  tos                627900 non-null  object             \n",
-      " 14  legacy_ntd_id      604422 non-null  object             \n",
-      " 15  period_year_month  627900 non-null  object             \n",
-      " 16  period_year        627900 non-null  object             \n",
-      " 17  period_month       627900 non-null  object             \n",
-      " 18  upt                342911 non-null  float64            \n",
-      " 19  vrm                339567 non-null  float64            \n",
-      " 20  vrh                338930 non-null  float64            \n",
-      " 21  voms               340716 non-null  float64            \n",
-      "dtypes: datetime64[ns, UTC](1), float64(4), int64(1), object(16)\n",
-      "memory usage: 105.4+ MB\n"
+      " 0   key                630474 non-null  object             \n",
+      " 1   ntd_id             630474 non-null  object             \n",
+      " 2   legacy_ntd_id      606910 non-null  object             \n",
+      " 3   agency             630474 non-null  object             \n",
+      " 4   reporter_type      630474 non-null  object             \n",
+      " 5   period_year_month  630474 non-null  object             \n",
+      " 6   period_year        630474 non-null  object             \n",
+      " 7   period_month       630474 non-null  object             \n",
+      " 8   uza_name           628830 non-null  object             \n",
+      " 9   primary_uza_code   628830 non-null  object             \n",
+      " 10  _3_mode            630474 non-null  object             \n",
+      " 11  mode               630474 non-null  object             \n",
+      " 12  mode_name          629926 non-null  object             \n",
+      " 13  service_type       630474 non-null  object             \n",
+      " 14  Status             630474 non-null  object             \n",
+      " 15  tos                630474 non-null  object             \n",
+      " 16  upt                339058 non-null  float64            \n",
+      " 17  vrm                340270 non-null  float64            \n",
+      " 18  vrh                340257 non-null  float64            \n",
+      " 19  voms               342043 non-null  float64            \n",
+      " 20  _dt                630474 non-null  object             \n",
+      " 21  execution_ts       630474 non-null  datetime64[ns, UTC]\n",
+      "dtypes: datetime64[ns, UTC](1), float64(4), object(17)\n",
+      "memory usage: 105.8+ MB\n"
      ]
     }
    ],
@@ -142,7 +148,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
    "id": "1d9a8149-b216-4da9-a210-e2ae68c56a15",
    "metadata": {},
    "outputs": [
@@ -151,34 +157,34 @@
      "output_type": "stream",
      "text": [
       "<class 'pandas.core.frame.DataFrame'>\n",
-      "RangeIndex: 95004 entries, 0 to 95003\n",
+      "RangeIndex: 95352 entries, 0 to 95351\n",
       "Data columns (total 22 columns):\n",
       " #   Column             Non-Null Count  Dtype              \n",
       "---  ------             --------------  -----              \n",
-      " 0   uza_name           95004 non-null  object             \n",
-      " 1   uace_cd            95004 non-null  object             \n",
-      " 2   _dt                95004 non-null  object             \n",
-      " 3   ts                 95004 non-null  datetime64[ns, UTC]\n",
-      " 4   ntd_id             95004 non-null  object             \n",
-      " 5   year               95004 non-null  int64              \n",
-      " 6   reporter_type      95004 non-null  object             \n",
-      " 7   agency             95004 non-null  object             \n",
-      " 8   Status             95004 non-null  object             \n",
-      " 9   mode               95004 non-null  object             \n",
-      " 10  mode_full_name     95004 non-null  object             \n",
-      " 11  service_type       95004 non-null  object             \n",
-      " 12  _3_mode            95004 non-null  object             \n",
-      " 13  tos                95004 non-null  object             \n",
-      " 14  legacy_ntd_id      89544 non-null  object             \n",
-      " 15  period_year_month  95004 non-null  object             \n",
-      " 16  period_year        95004 non-null  object             \n",
-      " 17  period_month       95004 non-null  object             \n",
-      " 18  upt                52388 non-null  float64            \n",
-      " 19  vrm                52010 non-null  float64            \n",
-      " 20  vrh                51928 non-null  float64            \n",
-      " 21  voms               52132 non-null  float64            \n",
-      "dtypes: datetime64[ns, UTC](1), float64(4), int64(1), object(16)\n",
-      "memory usage: 15.9+ MB\n"
+      " 0   key                95352 non-null  object             \n",
+      " 1   ntd_id             95352 non-null  object             \n",
+      " 2   legacy_ntd_id      89872 non-null  object             \n",
+      " 3   agency             95352 non-null  object             \n",
+      " 4   reporter_type      95352 non-null  object             \n",
+      " 5   period_year_month  95352 non-null  object             \n",
+      " 6   period_year        95352 non-null  object             \n",
+      " 7   period_month       95352 non-null  object             \n",
+      " 8   uza_name           95352 non-null  object             \n",
+      " 9   primary_uza_code   95352 non-null  object             \n",
+      " 10  _3_mode            95352 non-null  object             \n",
+      " 11  mode               95352 non-null  object             \n",
+      " 12  mode_name          95352 non-null  object             \n",
+      " 13  service_type       95352 non-null  object             \n",
+      " 14  Status             95352 non-null  object             \n",
+      " 15  tos                95352 non-null  object             \n",
+      " 16  upt                51956 non-null  float64            \n",
+      " 17  vrm                52114 non-null  float64            \n",
+      " 18  vrh                52114 non-null  float64            \n",
+      " 19  voms               52318 non-null  float64            \n",
+      " 20  _dt                95352 non-null  object             \n",
+      " 21  execution_ts       95352 non-null  datetime64[ns, UTC]\n",
+      "dtypes: datetime64[ns, UTC](1), float64(4), object(17)\n",
+      "memory usage: 16.0+ MB\n"
      ]
     }
    ],
@@ -192,7 +198,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 12,
    "id": "5fe8dc41-12ad-4c0f-80f9-b8297833f33d",
    "metadata": {},
    "outputs": [
@@ -226,43 +232,43 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>50778</th>\n",
+       "      <th>50964</th>\n",
        "      <td>Santa Barbara, CA</td>\n",
        "      <td>90303</td>\n",
        "      <td>Santa Barbara County Association of Governments</td>\n",
-       "      <td>2004-07</td>\n",
+       "      <td>2019-12</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50779</th>\n",
+       "      <th>50965</th>\n",
        "      <td>Santa Barbara, CA</td>\n",
        "      <td>90303</td>\n",
        "      <td>Santa Barbara County Association of Governments</td>\n",
-       "      <td>2013-12</td>\n",
+       "      <td>2005-12</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50780</th>\n",
+       "      <th>50966</th>\n",
        "      <td>Santa Barbara, CA</td>\n",
        "      <td>90303</td>\n",
        "      <td>Santa Barbara County Association of Governments</td>\n",
-       "      <td>2012-11</td>\n",
+       "      <td>2008-07</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50781</th>\n",
+       "      <th>50967</th>\n",
        "      <td>Santa Barbara, CA</td>\n",
        "      <td>90303</td>\n",
        "      <td>Santa Barbara County Association of Governments</td>\n",
-       "      <td>2016-09</td>\n",
+       "      <td>2022-06</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50782</th>\n",
+       "      <th>50968</th>\n",
        "      <td>Santa Barbara, CA</td>\n",
        "      <td>90303</td>\n",
        "      <td>Santa Barbara County Association of Governments</td>\n",
-       "      <td>2016-11</td>\n",
+       "      <td>2011-09</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -271,21 +277,21 @@
       ],
       "text/plain": [
        "                uza_name ntd_id  \\\n",
-       "50778  Santa Barbara, CA  90303   \n",
-       "50779  Santa Barbara, CA  90303   \n",
-       "50780  Santa Barbara, CA  90303   \n",
-       "50781  Santa Barbara, CA  90303   \n",
-       "50782  Santa Barbara, CA  90303   \n",
+       "50964  Santa Barbara, CA  90303   \n",
+       "50965  Santa Barbara, CA  90303   \n",
+       "50966  Santa Barbara, CA  90303   \n",
+       "50967  Santa Barbara, CA  90303   \n",
+       "50968  Santa Barbara, CA  90303   \n",
        "\n",
        "                                                agency period_year_month  upt  \n",
-       "50778  Santa Barbara County Association of Governments           2004-07  NaN  \n",
-       "50779  Santa Barbara County Association of Governments           2013-12  NaN  \n",
-       "50780  Santa Barbara County Association of Governments           2012-11  NaN  \n",
-       "50781  Santa Barbara County Association of Governments           2016-09  NaN  \n",
-       "50782  Santa Barbara County Association of Governments           2016-11  NaN  "
+       "50964  Santa Barbara County Association of Governments           2019-12  NaN  \n",
+       "50965  Santa Barbara County Association of Governments           2005-12  NaN  \n",
+       "50966  Santa Barbara County Association of Governments           2008-07  NaN  \n",
+       "50967  Santa Barbara County Association of Governments           2022-06  NaN  \n",
+       "50968  Santa Barbara County Association of Governments           2011-09  NaN  "
       ]
      },
-     "execution_count": 29,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -299,7 +305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 13,
    "id": "9fa55990-21c6-405c-9b64-dbc8d104ee79",
    "metadata": {},
    "outputs": [
@@ -336,7 +342,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 14,
    "id": "a10a46de-e6b3-4288-97e4-02aa5d5d378b",
    "metadata": {},
    "outputs": [
@@ -345,36 +351,36 @@
      "output_type": "stream",
      "text": [
       "<class 'pandas.core.frame.DataFrame'>\n",
-      "Int64Index: 95004 entries, 0 to 95003\n",
+      "Int64Index: 95352 entries, 0 to 95351\n",
       "Data columns (total 24 columns):\n",
       " #   Column             Non-Null Count  Dtype              \n",
       "---  ------             --------------  -----              \n",
-      " 0   uza_name           95004 non-null  object             \n",
-      " 1   uace_cd            95004 non-null  object             \n",
-      " 2   _dt                95004 non-null  object             \n",
-      " 3   ts                 95004 non-null  datetime64[ns, UTC]\n",
-      " 4   ntd_id             95004 non-null  object             \n",
-      " 5   year               95004 non-null  int64              \n",
-      " 6   reporter_type      95004 non-null  object             \n",
-      " 7   agency             95004 non-null  object             \n",
-      " 8   Status             95004 non-null  object             \n",
-      " 9   mode               95004 non-null  object             \n",
-      " 10  mode_full_name     95004 non-null  object             \n",
-      " 11  service_type       95004 non-null  object             \n",
-      " 12  _3_mode            95004 non-null  object             \n",
-      " 13  tos                95004 non-null  object             \n",
-      " 14  legacy_ntd_id      89544 non-null  object             \n",
-      " 15  period_year_month  95004 non-null  object             \n",
-      " 16  period_year        95004 non-null  object             \n",
-      " 17  period_month       95004 non-null  object             \n",
-      " 18  upt                52388 non-null  float64            \n",
-      " 19  vrm                52010 non-null  float64            \n",
-      " 20  vrh                51928 non-null  float64            \n",
-      " 21  voms               52132 non-null  float64            \n",
-      " 22  RTPA               95004 non-null  object             \n",
-      " 23  _merge             95004 non-null  category           \n",
-      "dtypes: category(1), datetime64[ns, UTC](1), float64(4), int64(1), object(17)\n",
-      "memory usage: 17.5+ MB\n"
+      " 0   key                95352 non-null  object             \n",
+      " 1   ntd_id             95352 non-null  object             \n",
+      " 2   legacy_ntd_id      89872 non-null  object             \n",
+      " 3   agency             95352 non-null  object             \n",
+      " 4   reporter_type      95352 non-null  object             \n",
+      " 5   period_year_month  95352 non-null  object             \n",
+      " 6   period_year        95352 non-null  object             \n",
+      " 7   period_month       95352 non-null  object             \n",
+      " 8   uza_name           95352 non-null  object             \n",
+      " 9   primary_uza_code   95352 non-null  object             \n",
+      " 10  _3_mode            95352 non-null  object             \n",
+      " 11  mode               95352 non-null  object             \n",
+      " 12  mode_name          95352 non-null  object             \n",
+      " 13  service_type       95352 non-null  object             \n",
+      " 14  Status             95352 non-null  object             \n",
+      " 15  tos                95352 non-null  object             \n",
+      " 16  upt                51956 non-null  float64            \n",
+      " 17  vrm                52114 non-null  float64            \n",
+      " 18  vrh                52114 non-null  float64            \n",
+      " 19  voms               52318 non-null  float64            \n",
+      " 20  _dt                95352 non-null  object             \n",
+      " 21  execution_ts       95352 non-null  datetime64[ns, UTC]\n",
+      " 22  RTPA               95352 non-null  object             \n",
+      " 23  _merge             95352 non-null  category           \n",
+      "dtypes: category(1), datetime64[ns, UTC](1), float64(4), object(18)\n",
+      "memory usage: 17.6+ MB\n"
      ]
     }
    ],
diff --git a/ntd/monthly_ridership_by_rtpa.py b/ntd/monthly_ridership_by_rtpa.py
index 0d445177b..2998755ce 100644
--- a/ntd/monthly_ridership_by_rtpa.py
+++ b/ntd/monthly_ridership_by_rtpa.py
@@ -126,8 +126,11 @@ def save_rtpa_outputs(
 
         (df[df["RTPA"] == i]
          .sort_values("ntd_id")
-         #got error from excel not recognizing timezone, made list to include dropping "ts" column
-         .drop(columns = ["_merge","ts"])
+         #got error from excel not recognizing timezone, made list to include dropping "execution_ts" column
+         .drop(columns = [
+             "_merge",
+             "execution_ts"
+         ])
          #cleaning column names
          .rename(columns=lambda x: x.replace("_"," ").title().strip())
          #rename columns
@@ -184,7 +187,11 @@ def produce_ntd_monthly_ridership_by_rtpa(
     merge in crosswalk, checks for unmerged rows, then creates new columns for full Mode and TOS name.
     
     """
-    full_upt = (tbls.mart_ntd.dim_monthly_ntd_ridership_with_adjustments() >> collect()).rename(columns = {"mode_type_of_service_status": "Status"})
+    full_upt = (tbls.mart_ntd.dim_monthly_ridership_with_adjustments() >> collect()).rename(
+        columns = {
+            "mode_type_of_service_status": "Status",
+            "primary_uza_name":"uza_name"
+        })
     
     full_upt = full_upt[full_upt.agency.notna()].reset_index(drop=True)
     
diff --git a/ntd/ntd_dates.py b/ntd/ntd_dates.py
index 89cdad706..9d458d4d8 100644
--- a/ntd/ntd_dates.py
+++ b/ntd/ntd_dates.py
@@ -25,7 +25,8 @@ def get_public_filename(monthyear_string: str) -> str:
 
 DATES = {
     # key is month of NTD data
-    # value is the month_updated in the url we're downloading from
+    # value is the month_updated in the url we're downloading from (2 months ahead from key)
+    # ex oct data is reported in december, so (oct20XX:"20XX-12")
     "oct2023": "2023-12",
     "nov2023": "2024-01",
     "dec2023": "2024-02",
@@ -36,6 +37,7 @@ def get_public_filename(monthyear_string: str) -> str:
     "may2024": "2024-07",
     "jun2024": "2024-08",
     "jul2024": "2024-09",
-    "aug2024": "2024-08",
-    "sep2024": "2024-09"
+    "aug2024": "2024-10",
+    "sep2024": "2024-11",
+    "oct2024": "2024-12"
 }
\ No newline at end of file
diff --git a/ntd/update_vars.py b/ntd/update_vars.py
index 681d8ce9a..7b929d567 100644
--- a/ntd/update_vars.py
+++ b/ntd/update_vars.py
@@ -4,7 +4,7 @@
 
 GCS_FILE_PATH = "gs://calitp-analytics-data/data-analyses/ntd/"
 
-current_month = "sep2024"
+current_month = "oct2024"
 YEAR, MONTH = ntd_dates.parse_monthyear_string(current_month)
 PUBLIC_FILENAME = ntd_dates.get_public_filename(current_month)
 MONTH_CREATED = ntd_dates.DATES[current_month]
@@ -12,7 +12,7 @@
 # Check this url each month
 # https://www.transit.dot.gov/ntd/data-product/monthly-module-adjusted-data-release
 # Depending on if they fixed the Excel, there may be an additional suffix
-suffix = "_241101"
+suffix = "_241202"
 FULL_URL = (
     "https://www.transit.dot.gov/sites/fta.dot.gov/files/"
     f"{MONTH_CREATED}/{MONTH}%20{YEAR}%20"
diff --git a/portfolio/ntd_monthly_ridership/rtpa_alpine-county-transportation-commission/00__monthly_ridership_report__rtpa_alpine-county-transportation-commission.ipynb b/portfolio/ntd_monthly_ridership/rtpa_alpine-county-transportation-commission/00__monthly_ridership_report__rtpa_alpine-county-transportation-commission.ipynb
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--- a/portfolio/ntd_monthly_ridership/rtpa_alpine-county-transportation-commission/00__monthly_ridership_report__rtpa_alpine-county-transportation-commission.ipynb
+++ b/portfolio/ntd_monthly_ridership/rtpa_alpine-county-transportation-commission/00__monthly_ridership_report__rtpa_alpine-county-transportation-commission.ipynb
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index 136da3169..ce029e99b 100644
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