diff --git a/data/data-pipeline/data_pipeline/etl/sources/geocorr/etl.py b/data/data-pipeline/data_pipeline/etl/sources/geocorr/etl.py
index 06233b44..f62a5960 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/geocorr/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/geocorr/etl.py
@@ -15,6 +15,12 @@ class GeoCorrETL(ExtractTransformLoad):
         self.OUTPUT_PATH = self.DATA_PATH / "dataset" / "geocorr"
 
         # Need to change hyperlink to S3
+
+        # Note, that this CSV was generated by this notebook:
+        # https://github.com/usds/justice40-tool/blob/main/data/data-pipeline/data_pipeline/ipython/urban_vs_rural.ipynb
+        # The source data for this notebook was downloaded from GeoCorr;
+        # the instructions for generating the source data is here:
+        # https://github.com/usds/justice40-tool/issues/355#issuecomment-920241787
         self.GEOCORR_PLACES_URL = "https://justice40-data.s3.amazonaws.com/data-sources/geocorr_urban_rural.csv.zip"
         self.GEOCORR_GEOID_FIELD_NAME = "GEOID10_TRACT"
         self.URBAN_HEURISTIC_FIELD_NAME = "Urban Heuristic Flag"
diff --git a/data/data-pipeline/data_pipeline/ipython/urban_vs_rural.ipynb b/data/data-pipeline/data_pipeline/ipython/urban_vs_rural.ipynb
index 0785a189..1059229a 100644
--- a/data/data-pipeline/data_pipeline/ipython/urban_vs_rural.ipynb
+++ b/data/data-pipeline/data_pipeline/ipython/urban_vs_rural.ipynb
@@ -100,6 +100,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "# CSV was manually generated\n",
+    "# Instructions for how to generate the CSV from Geocorr are here: https://github.com/usds/justice40-tool/issues/355#issuecomment-920241787\n",
     "geocorr_urban_rural_map = pd.read_csv(\n",
     "    os.path.join(GEOCORR_DATA_DIR, \"geocorr2014_2125804280.csv\"),\n",
     "    encoding=\"ISO-8859-1\",\n",