diff --git a/etl/eligibility/ha_15_32/ha_analysis_batch_3.py b/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
index 7bb8b40c..fffc9daf 100644
--- a/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
+++ b/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
@@ -195,6 +195,7 @@ class DataLoader:
             ciga_list = pd.DataFrame(ciga_rows, columns=[cell.value for cell in ciga_sheet[1]])
             # Remove columns that are None
             ciga_list = ciga_list.loc[:, ciga_list.columns.notnull()]
+            survey_list["survey_list_row_id"] = [ha_name + "_ciga_" + str(i) for i in range(0, len(survey_list))]
             # Perform ciga list merge
             if not ciga_list.empty:
                 ciga_list = self.create_ciga_list_house_no(ha_name, ciga_list)
@@ -440,14 +441,14 @@ class DataLoader:
                     df = df[df["matching_postcode"].str.lower().str.contains(row["Post Code"].lower())]
                     if df.shape[0] != 1:
                         postcode_lower = row["Post Code"].lower()
-                        if postcode_lower in missed_postcodes:
-                            matching_lookup.append(
-                                {
-                                    "survey_list_row_id": row["survey_list_row_id"],
-                                    "asset_list_row_id": None,
-                                }
-                            )
-                            continue
+                        # if postcode_lower in missed_postcodes:
+                        #     matching_lookup.append(
+                        #         {
+                        #             "survey_list_row_id": row["survey_list_row_id"],
+                        #             "asset_list_row_id": None,
+                        #         }
+                        #     )
+                        #     continue
 
                         print(row["Street / Block Name"])
                         print(house_number)
@@ -456,13 +457,18 @@ class DataLoader:
 
             matching_lookup.append(
                 {
-                    "survey_list_row_id": row["survey_list_row_id"],
+                    "ciga_list_row_id": row["ciga_list_row_id"],
                     "asset_list_row_id": df["asset_list_row_id"].values[0],
                 }
             )
 
         matching_lookup = pd.DataFrame(matching_lookup)
 
+        # Merge onto the ciga list
+        ciga_list = ciga_list.merge(matching_lookup, how='left', on="ciga_list_row_id")
+
+        return ciga_list
+
     @staticmethod
     def identify_built_form_ha6(property_string):
         """