diff --git a/data/data-pipeline/data_pipeline/etl/sources/ejscreen_areas_of_concern/etl.py b/data/data-pipeline/data_pipeline/etl/sources/ejscreen_areas_of_concern/etl.py
index 38c6c222..dfb987f3 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/ejscreen_areas_of_concern/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/ejscreen_areas_of_concern/etl.py
@@ -8,31 +8,34 @@ logger = get_module_logger(__name__)
 
 class EJScreenAreasOfConcernETL(ExtractTransformLoad):
     def __init__(self):
-        # self.EJSCREEN_FTP_URL = "https://gaftp.epa.gov/EJSCREEN/2019/EJSCREEN_2019_StatePctile.csv.zip"
-        # self.EJSCREEN_CSV = self.TMP_PATH / "EJSCREEN_2019_StatePctiles.csv"
-        self.CSV_PATH = self.DATA_PATH / "dataset" / "ejscreen_2019"
+        self.OUTPUT_PATH = self.DATA_PATH / "dataset" / "ejscreen_areas_of_concern"
+
+        # TO DO: Load from actual source; the issue is that this dataset is not public for now
+        self.LOCAL_CSV_PATH = self.DATA_PATH / "local"
+        self.GEOID_CBG_FIELD_NAME = "GEOID10_CBG"
         self.df: pd.DataFrame
 
     def extract(self) -> None:
-        logger.info("Downloading EJScreen Data")
-        super().extract(
-            self.EJSCREEN_FTP_URL,
-            self.TMP_PATH,
-            verify=False,  # EPA EJScreen end point has certificate issues often
-        )
+        logger.info("Loading EJScreen Areas of Concern Data Locally")
 
-    def transform(self) -> None:
-        logger.info("Transforming EJScreen Data")
         self.df = pd.read_csv(
-            self.EJSCREEN_CSV,
-            dtype={"ID": "string"},
-            # EJSCREEN writes the word "None" for NA data.
-            na_values=["None"],
+            filepath_or_buffer=self.LOCAL_CSV_PATH
+            / "ejscreen_areas_of_concerns_indicators.csv",
+            dtype={
+                self.GEOID_CBG_FIELD_NAME: "string",
+            },
             low_memory=False,
         )
 
+    def transform(self) -> None:
+        logger.info("Transforming EJScreen Areas of Concern Data")
+
+        # TO DO: As a one off we did all the processing in a separate Notebook
+        # Can add here later for a future PR
+        pass
+
     def load(self) -> None:
-        logger.info("Saving EJScreen CSV")
+        logger.info("Saving EJScreen Areas of Concern Data")
         # write nationwide csv
-        self.CSV_PATH.mkdir(parents=True, exist_ok=True)
-        self.df.to_csv(self.CSV_PATH / "usa.csv", index=False)
+        self.OUTPUT_PATH.mkdir(parents=True, exist_ok=True)
+        self.df.to_csv(self.OUTPUT_PATH / "usa.csv", index=False)