diff --git a/model_data/app.py b/model_data/app.py
index 0a8a6aaa..4d8bd342 100644
--- a/model_data/app.py
+++ b/model_data/app.py
@@ -123,10 +123,10 @@ def handler():
         [{"address1": p.address1, **p.floor} for p in input_properties]
     )
 
-    input_properties[2].data["address1"]
-    input_properties[2].data["postcode"]
-    floors_df["address1"].values[2]
-    floors_df["original_description"].values[2]
+    input_properties[3].data["address1"]
+    input_properties[3].data["postcode"]
+    floors_df["address1"].values[3]
+    floors_df["original_description"].values[3]
 
     df = pd.DataFrame(
         [
@@ -136,7 +136,7 @@ def handler():
     df["property-type"].unique()
 
     from model_data.recommendations.FloorRecommendations import FloorRecommendations
-    self = FloorRecommendations(property_instance=input_properties[2], uvalue_estimates=uvalue_estimates)
+    self = FloorRecommendations(property_instance=input_properties[3], uvalue_estimates=uvalue_estimates)
 
     # We need to deduce a U-value for "Good" energy effieciency
 
diff --git a/model_data/recommendations/FloorRecommendations.py b/model_data/recommendations/FloorRecommendations.py
index 3208378f..09d5b8e6 100644
--- a/model_data/recommendations/FloorRecommendations.py
+++ b/model_data/recommendations/FloorRecommendations.py
@@ -60,6 +60,8 @@ class FloorRecommendations(BaseUtility):
         "England and Wales": "England_Wales",
     }
 
+    PART_L_YEAR_CUTOFF = 2002
+
     def __init__(self, property_instance: Property, uvalue_estimates: UvalueEstimations):
         self.property = property_instance
         self.uvalue_estimates = uvalue_estimates
@@ -144,12 +146,13 @@ class FloorRecommendations(BaseUtility):
         return u
 
     def recommend(self):
+        u_value = self.property.floor["thermal_transmittance"]
         is_suspended = self.property.floor["is_suspended"]
         insulation_thickness = self.property.floor["insulation_thickness"]
 
         # Check which floor the property is on
 
-        self.property.year_built
+        year_built = self.property.year_built
         self.property.data["floor-energy-eff"]
         self.property.data["floor-env-eff"]
 
@@ -159,8 +162,20 @@ class FloorRecommendations(BaseUtility):
             # If there's another property below, it's likely impractical to recommend a floor upgrade
             return
 
-        if is_suspended:
+        if u_value:
+            if self.property.data["property-type"] != "House":
+                raise NotImplementedError("Implement me")
 
+            # By being built more recently than this, it means that the property was likely build with soild
+            # concrete floors with insulation already
+            if year_built < self.PART_L_YEAR_CUTOFF:
+                raise NotImplementedError("Not investigated this use case")
+
+            if u_value <= self.BUILDING_REGULATIONS_PART_L_MAX_U_VALUE:
+                # The floor is already compliant
+                return
+
+        if is_suspended:
             total_floor_area = float(self.property.data["total-floor-area"])
             number_of_rooms = float(self.property.data["number-habitable-rooms"])