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 62099386..f9bf3856 100644
--- a/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
+++ b/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
@@ -694,6 +694,20 @@ class DataLoader:
             asset_list["ECO Eligibility"]
         )
 
+        # Already surveyed under ECO4
+        asset_list["ECO Eligibility"] = np.where(
+            asset_list["Post Code"] == "SK17 6NR",
+            "Not eligible",
+            asset_list["ECO Eligibility"]
+        )
+
+        asset_list["ECO Eligibility"] = np.where(
+            ~((asset_list["Post Code"] == "WA5 0EN") &
+              (asset_list["Address 1"] == "Block 17-26 Tavlin Avenue")),
+            "Not eligible",
+            asset_list["ECO Eligibility"]
+        )
+
         return asset_list
 
     @staticmethod
@@ -1811,6 +1825,29 @@ class DataLoader:
 
         return survey_list
 
+    @staticmethod
+    def correct_ha56_survey_list(survey_list):
+        # Not in asset list
+        survey_list = survey_list[
+            ~((survey_list["Street / Block Name"] == "Samual Street") &
+              (survey_list["NO."].isin([22, 24])) &
+              (survey_list["Post Code"] == "WA5 1BB"))
+        ]
+
+        survey_list["Street / Block Name"] = survey_list["Street / Block Name"].str.replace(
+            "STOURTON RD", "Stourton Road"
+        )
+
+        survey_list["Street / Block Name"] = survey_list["Street / Block Name"].str.replace(
+            "BIRKIN RD", "Birkin Road"
+        )
+
+        survey_list["Street / Block Name"] = survey_list["Street / Block Name"].str.replace(
+            "PORTLAND RD", "Portland Road"
+        )
+
+        return survey_list
+
     @staticmethod
     def levenstein_match(matching_string, df):
         match_to = df["matching_address"].tolist()
@@ -1843,6 +1880,10 @@ class DataLoader:
         if ha_name == "HA13":
             missed_postcodes = ["hp17 8le"]
 
+        if ha_name == "HA56":
+            # Multiple properties are listed as blocks, which is a problem for matching
+            missed_postcodes = ["sk17 6nr", "wa5 0en"]
+
         matching_lookup = []
         for _, row in tqdm(survey_list.iterrows(), total=len(survey_list)):
 
@@ -1890,6 +1931,19 @@ class DataLoader:
                 df = df[df["HouseNo"].astype(str).str.lower() == str(house_number)]
                 if df.shape[0] != 1:
                     df = df[df["matching_postcode"].str.lower().str.contains(row["Post Code"].lower().strip())]
+
+                    if df.empty:
+
+                        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 df.shape[0] != 1:
                         if "Town/Area" not in row.keys():
                             full_key = (str(row["NO."]).lower().strip() + row["Street / Block Name"].lower().strip() +