diff --git a/backend/app/plan/router.py b/backend/app/plan/router.py
index db0ff552..769b13f7 100644
--- a/backend/app/plan/router.py
+++ b/backend/app/plan/router.py
@@ -737,17 +737,6 @@ async def trigger_plan(body: PlanTriggerRequest):
             ]
             recommendations[property_id] = final_recommendations
 
-        # df = []
-        # for rec in recommendations[list(recommendations.keys())[0]]:
-        #     df.append(
-        #         {
-        #             "id": rec["recommendation_id"],
-        #             "description": rec["description"],
-        #             "sap": rec["sap_points"],
-        #         }
-        #     )
-        # df = pd.DataFrame(df)
-
         # 1) the property data
         # 2) the property details (epc)
         # 3) the recommendations
diff --git a/etl/customers/newhaven/newhaven_study.py b/etl/customers/newhaven/newhaven_study.py
index 1f3e858f..b10a8bf0 100644
--- a/etl/customers/newhaven/newhaven_study.py
+++ b/etl/customers/newhaven/newhaven_study.py
@@ -152,6 +152,11 @@ def make_asset_list():
     cost_testing["ewi_cost_per_m2"] = cost_testing["Insulation - External Wall - Total"] / cost_testing[
         "Wall Area [m^2]"]
 
+    cost_testing["li_cost_per_m2"] = cost_testing["Insulation - Loft - Total"] / cost_testing["Building Area [m^2]"]
+
+    cost_testing["underfloor_cost_per_m2"] = cost_testing["Insulation - Under Floor- Total"] / cost_testing[
+        "Building Area [m^2]"]
+
     final_asset_list = asset_list.rename(
         columns={"UPRN": "uprn", "address1": "address", "floor_area": "insulation_floor_area"}
     )[["uprn", "address", "postcode", "insulation_wall_area", "insulation_floor_area", "number_of_floors"]]