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 2a1a4b16..4dbf326b 100644
--- a/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
+++ b/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
@@ -148,6 +148,10 @@ class DataLoader:
             "address": "propertyaddress",
             "postcode": "address"  # The 'address' column actually contains postcode
         },
+        "HA12": {
+            "address": "Full Address",
+            "postcode": "Postcode"
+        },
         "HA16": {
             "address": "Address",
             "postcode": "Postcode"
@@ -169,6 +173,7 @@ class DataLoader:
     UNMATCHED_CIGA = {
         "HA2": 0,
         "HA6": 117,
+        "HA12": 6,
         "HA14": 3,
         "HA15": 3,
         "HA16": 7,
@@ -198,7 +203,7 @@ class DataLoader:
 
     def create_asset_list_matching_address(self, ha_name, asset_list):
 
-        if ha_name in ["HA1", "HA6", "HA16", "HA24", "HA48"]:
+        if ha_name in ["HA1", "HA6", "HA12", "HA16", "HA24", "HA48"]:
             asset_list["matching_address"] = asset_list[
                 self.COLUMN_CONFIG[ha_name]["address"]
             ].astype(str).str.lower().str.strip()
@@ -1558,13 +1563,39 @@ class DataLoader:
         return survey_list
 
     @staticmethod
-    def correct_ha63_survey_list(survey_list):
-        # Drop some filler rows
-        survey_list = survey_list[
-            ~survey_list[survey_list.columns[0]].isin(
-                ["NO JOBS SURVEYED JULY 2021 ", "NO JOBS SURVEYED SEPTEMBER 2021"]
-            )
-        ]
+    def correct_ha12_survey_list(survey_list):
+        survey_list["Street / Block Name"] = survey_list["Street / Block Name"].str.replace(
+            "Henstone Road", "Hanstone Road"
+        )
+
+        survey_list["Street / Block Name"] = survey_list["Street / Block Name"].str.replace(
+            "Lindern avenue", "Linden Avenue"
+        )
+
+        survey_list["Street / Block Name"] = survey_list["Street / Block Name"].str.replace(
+            "priness way", "Princess Way"
+        )
+
+        survey_list["Street / Block Name"] = survey_list["Street / Block Name"].str.replace(
+            "Worth Crecesent", "Worth Crescent"
+        )
+
+        survey_list["Post Code"] = survey_list["Post Code"].str.replace(
+            "DY117HA", "DY11 7HA"
+        )
+
+        survey_list["Post Code"] = survey_list["Post Code"].str.replace(
+            "DY117HF", "DY11 7HF"
+        )
+
+        survey_list["Street / Block Name"] = survey_list["Street / Block Name"].str.replace(
+            "Adderbrook Crescent", "Addenbrooke Crescent"
+        )
+
+        survey_list["Street / Block Name"] = survey_list["Street / Block Name"].str.replace(
+            "Kinver Road", "Kinver Avenue"
+        )
+
         return survey_list
 
     @staticmethod
@@ -2079,6 +2110,7 @@ class DataLoader:
             "eco4 (subject to ciga/archetype)": "eco4 (subject to ciga)",
             "eco4  (subject to ciga)": "eco4 (subject to ciga)",
             "eco4(subject to ciga)": "eco4 (subject to ciga)",
+            "eco4 subject to ciga": "eco4 (subject to ciga)",
         }
 
         ha_facts_and_figures = []
@@ -4472,13 +4504,13 @@ def app():
 
     # Add in:
     priority_has = [
-        "HA1", "HA2", "HA6", "HA7", "HA14", "HA15", "HA16", "HA24", "HA25", "HA28", "HA32", "HA39", "HA41", "HA48",
-        "HA50", "HA63", "HA107",
+        "HA1", "HA2", "HA6", "HA7", "HA12", "HA14", "HA15", "HA16", "HA24", "HA25", "HA28", "HA32", "HA39", "HA41",
+        "HA48", "HA50", "HA63", "HA107",
     ]
     # Next HAs to do: 14 [DONE], 15[DONE], 32 [DONE], 33 [Input format is 4 parts and no eco4 jobs identified - come
-    # back on this], 28 [DONE], 41 [DONE], 50 [DONE], 48 [DONE], 2 [DONE]
-    # 63 [WIP]
-    # Consider for ECO4: 12, 13, 136, 117
+    # back on this], 28 [DONE], 41 [DONE], 50 [DONE], 48 [DONE], 2 [DONE], 63 [DONE], 12 [DONE]
+    #
+    # Consider for ECO4: 13, 136, 117
     # COnsider for GBIS: 56, 35, 34
     # Ignore for now:
     # 38 [problematic, but no ECO4], 10 problematic (no eligibility), 20 has barely any in