diff --git a/.idea/Model.iml b/.idea/Model.iml
index 9b63b142..df6c4faa 100644
--- a/.idea/Model.iml
+++ b/.idea/Model.iml
@@ -7,7 +7,7 @@
       <sourceFolder url="file://$MODULE_DIR$/open_uprn" isTestSource="false" />
       <sourceFolder url="file://$MODULE_DIR$/recommendations" isTestSource="false" />
     </content>
-    <orderEntry type="jdk" jdkName="Lodgment-spreadsheet" jdkType="Python SDK" />
+    <orderEntry type="jdk" jdkName="Fastapi-backend" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
   <component name="PyNamespacePackagesService">
diff --git a/.idea/misc.xml b/.idea/misc.xml
index acd935c1..50cad4ca 100644
--- a/.idea/misc.xml
+++ b/.idea/misc.xml
@@ -3,7 +3,7 @@
   <component name="Black">
     <option name="sdkName" value="Python 3.10 (backend)" />
   </component>
-  <component name="ProjectRootManager" version="2" project-jdk-name="Lodgment-spreadsheet" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="Fastapi-backend" project-jdk-type="Python SDK" />
   <component name="PyCharmProfessionalAdvertiser">
     <option name="shown" value="true" />
   </component>
diff --git a/etl/access_reporting/app.py b/etl/access_reporting/app.py
new file mode 100644
index 00000000..e69de29b
diff --git a/etl/customers/gla/hug_postcodes.py b/etl/customers/gla/hug_postcodes.py
index 85783d62..ac2d1e3c 100644
--- a/etl/customers/gla/hug_postcodes.py
+++ b/etl/customers/gla/hug_postcodes.py
@@ -3,6 +3,7 @@ import pandas as pd
 from pathlib import Path
 from tqdm import tqdm
 from etl.epc.settings import EARLIEST_EPC_DATE
+from etl.spatial.OpenUprnClient import OpenUprnClient
 
 src_file_path = inspect.getfile(lambda: None)
 
@@ -22,6 +23,7 @@ for directory in tqdm(epc_directories):
     data = data[data["lodgement-date"] >= EARLIEST_EPC_DATE]
 
     data = data[~pd.isnull(data["uprn"])]
+    data["uprn"] = data["uprn"].astype(int)
     # Take just the newest EPC per uprn, based on lodgement-date
     data = data.sort_values("lodgement-date", ascending=False).drop_duplicates("uprn")
     # Take EPC D and below
@@ -31,16 +33,41 @@ for directory in tqdm(epc_directories):
     # Take homes that don't have a gas boiler
     off_gas = data[~data["main-fuel"].str.contains("mains gas", case=False, na=False)]
 
+    if off_gas.empty:
+        continue
+
+    # Remote properties with conservation area issues
+    uprns = off_gas["uprn"].unique()
+    # Get data
+    ca_data = OpenUprnClient.get_spatial_data(uprns, "retrofit-data-dev")
+    off_gas = off_gas.merge(
+        ca_data[["UPRN", "conservation_status", "is_listed_building", "is_heritage_building"]].rename(
+            columns={"UPRN": "uprn"}
+        ),
+        how="left",
+        on="uprn",
+    )
+    # Remove any restricted units
+    off_gas = off_gas[
+        (off_gas["conservation_status"] != True)
+        & (off_gas["is_listed_building"] != True)
+        & (off_gas["is_heritage_building"] != True)
+        ]
+
     region_summary = off_gas.groupby("postal_region").size().reset_index(name="count")
 
     aggregation.append(region_summary)
 
 postal_region_aggregation = pd.concat(aggregation)
+# Re-aggregate
+postal_region_aggregation = postal_region_aggregation.groupby("postal_region")["count"].sum().reset_index()
+
 postal_region_aggregation = postal_region_aggregation.sort_values("count", ascending=False)
 postal_region_aggregation = postal_region_aggregation.rename(
     columns={"postal_region": "Postcode Region", "count": "Number of Homes"}
 )
 postal_region_aggregation.to_excel(
-    "/Users/khalimconn-kowlessar/Documents/hestia/Customers/GLA/Off Gas EPC D-G Postal Regions.xlsx",
+    "/Users/khalimconn-kowlessar/Documents/hestia/Customers/GLA/Off Gas EPC D-G Postal Regions - without conservation "
+    "area.xlsx",
     index=False
 )