diff --git a/asset_list/AssetList.py b/asset_list/AssetList.py
index 74469c63..5f4436b8 100644
--- a/asset_list/AssetList.py
+++ b/asset_list/AssetList.py
@@ -21,6 +21,8 @@ from recommendations.recommendation_utils import (
     estimate_number_of_floors
 )
 
+from etl.epc_clean.epc_attributes.RoofAttributes import RoofAttributes
+
 logger = setup_logger()
 
 # OpenAI API Key (set this in your environment variables for security)
@@ -279,9 +281,19 @@ class AssetList:
         "Any further surveyor notes", 'Surveyors Name'
     ]
 
+    # This SAP threshold is a key search criteria for properties that may be eligible for extraction
+    SAP_RATING_THRESHOLD = 75
+    # Any EPC deemed to have been conducted prior to this year is deemed to be unreliable
+    EPC_YEAR_THRESHOLD = pd.Timestamp.now().year - 5
+
     # Attributes - these are columns that we produce, calcualted based on other pieces of data
     ATTRIBUTE_HAS_SOLAR = "attribute_has_solar"
     ATTRIBUTE_NUMBER_OF_FLOORS = "attribute_est_number_floors"
+    ATTRIBUTE_ESTIMATED_PERIMETER = "attribute_est_perimter"
+    ATTRIBUTE_HEAT_LOSS_AREA = "attribute_heat_loss_area"
+    ATTRIBUTE_EPC_ROOF_INSULATION_THICKNESS = "attribute_epc_roof_insulation_thickness"
+    ATTRIBUTE_SAP_THRESHOLD_AND_BELOW = f"sap_rating_{SAP_RATING_THRESHOLD}_and_below"
+    ATTRIBUTE_EPC_PRE_YEAR_THRESHOLD = f"EPC is pre {EPC_YEAR_THRESHOLD}"
 
     def __init__(
         self,
@@ -672,3 +684,56 @@ class AssetList:
             ),
             axis=1
         )
+
+        self.standardised_asset_list[self.EPC_API_DATA_NAMES["total-floor-area"]] = (
+            self.standardised_asset_list[self.EPC_API_DATA_NAMES["total-floor-area"]].astype(float)
+        )
+        # Replace "" value with None
+        self.standardised_asset_list[self.EPC_API_DATA_NAMES["number-habitable-rooms"]] = (
+            self.standardised_asset_list[self.EPC_API_DATA_NAMES["number-habitable-rooms"]].replace("", None)
+        )
+        self.standardised_asset_list[self.EPC_API_DATA_NAMES["number-habitable-rooms"]] = (
+            self.standardised_asset_list[self.EPC_API_DATA_NAMES["number-habitable-rooms"]].astype(float)
+        )
+
+        # Estimate the perimeter
+        self.standardised_asset_list[self.ATTRIBUTE_ESTIMATED_PERIMETER] = self.standardised_asset_list.apply(
+            lambda x: estimate_perimeter(
+                floor_area=x[self.EPC_API_DATA_NAMES["total-floor-area"]] / x[self.ATTRIBUTE_NUMBER_OF_FLOORS],
+                num_rooms=x[self.EPC_API_DATA_NAMES["number-habitable-rooms"]] / x[self.ATTRIBUTE_NUMBER_OF_FLOORS],
+            ), axis=1
+        )
+
+        self.standardised_asset_list[self.ATTRIBUTE_HEAT_LOSS_AREA] = self.standardised_asset_list.apply(
+            lambda x: estimate_external_wall_area(
+                num_floors=x[self.ATTRIBUTE_NUMBER_OF_FLOORS],
+                floor_height=(
+                    float(x[self.EPC_API_DATA_NAMES["floor-height"]]) if
+                    x[self.EPC_API_DATA_NAMES["floor-height"]] else 2.5
+                ),
+                perimeter=x[self.ATTRIBUTE_ESTIMATED_PERIMETER],
+                built_form=x[self.EPC_API_DATA_NAMES["built-form"]]
+            ),
+            axis=1
+        )
+
+        self.standardised_asset_list[self.ATTRIBUTE_EPC_ROOF_INSULATION_THICKNESS] = self.standardised_asset_list.apply(
+            lambda x: RoofAttributes(description=x[self.EPC_API_DATA_NAMES["roof-description"]]).process()[
+                "insulation_thickness"] if not pd.isnull(
+                x[self.EPC_API_DATA_NAMES["roof-description"]]) else None,
+            axis=1
+        )
+
+        # We produce some additional fields
+        # 1) Is the SAP rating below C75
+        self.standardised_asset_list[self.ATTRIBUTE_SAP_THRESHOLD_AND_BELOW] = (
+            self.standardised_asset_list[self.EPC_API_DATA_NAMES["current-energy-efficiency"]] <=
+            self.SAP_RATING_THRESHOLD
+        )
+        # 2) Flag anything where the EPC is older than 5 years
+
+        self.standardised_asset_list[self.ATTRIBUTE_EPC_PRE_YEAR_THRESHOLD] = (
+            pd.to_datetime(
+                self.standardised_asset_list[self.EPC_API_DATA_NAMES["lodgement-date"]]
+            ).dt.year < self.EPC_YEAR_THRESHOLD
+        )