diff --git a/etl/customers/stonewater/map_app/map_page.py b/etl/customers/stonewater/map_app/map_page.py
index 4fa2406c..bb85961e 100644
--- a/etl/customers/stonewater/map_app/map_page.py
+++ b/etl/customers/stonewater/map_app/map_page.py
@@ -7,6 +7,43 @@ import pandas as pd
 from config import MAPBOX_ACCESS_TOKEN
 
 
+def make_real_epc_piechart(real_epc_breakdown):
+    labels = [x["is_real_epc"] for x in real_epc_breakdown]
+    values = [x["count"] for x in real_epc_breakdown]
+
+    marker_colors = ["#027fa6", "rgb(225 225 225)"]
+
+    fig = go.Figure(
+        data=[go.Pie(labels=labels, values=values, marker_colors=marker_colors)],
+    )
+
+    fig.update_layout(margin={"t": 0})
+
+    plot = dcc.Graph(figure=fig, config={"displayModeBar": False})
+
+    return plot
+
+
+def make_epc_rating_piechart(epc_rating_breakdown):
+    # Re-order from G to A
+    epc_rating_breakdown = sorted(epc_rating_breakdown, key=lambda x: x["EPC"])
+
+    labels = [x["EPC"] for x in epc_rating_breakdown]
+    values = [x["count"] for x in epc_rating_breakdown]
+
+    marker_colors = ["#117d58", "#2da55c", "#8dbd40", "#f7cd14", "#f3a96a", "#ef8026", "#e41e3b"]
+
+    fig = go.Figure(
+        data=[go.Pie(labels=labels, values=values, marker_colors=marker_colors, sort=False)],
+    )
+
+    fig.update_layout(margin={"t": 0})
+
+    plot = dcc.Graph(figure=fig, config={"displayModeBar": False})
+
+    return plot
+
+
 def make_map(locations):
     if not locations:
         return None
@@ -38,7 +75,7 @@ def make_map(locations):
             bearing=0,
             center=go.layout.mapbox.Center(lat=53, lon=-1.5),
             pitch=0,
-            zoom=4,
+            zoom=5,
         ),
         margin={"t": 0},
     )
@@ -55,6 +92,14 @@ def layout():
     with open("Stonewater Mapping Data.json", "r") as file:
         locations = json.load(file)
 
+    # Get the EPC breakdown data
+    with open("Stonewater real EPC breakdown.json") as file:
+        real_epc_breakdown = json.load(file)
+
+    # Get the EPC ratings data
+    with open("Stonewater EPC rating breakdown.json") as file:
+        epc_rating_breakdown = json.load(file)
+
     page = dbc.Container(
         [
             dbc.Row(
@@ -85,7 +130,8 @@ def layout():
                             ),
                             dbc.Row(
                                 [
-                                    dbc.Col("Powered by", style={"color": "#027fa6", "fontSize": "1rem", 'zIndex': 10}, width="auto"),
+                                    dbc.Col("Powered by", style={"color": "#027fa6", "fontSize": "1rem", 'zIndex': 10},
+                                            width="auto"),
                                     dbc.Col(
                                         html.A(
                                             html.Img(src="assets/hestia-logo.png", height="50px"),
@@ -120,7 +166,60 @@ def layout():
                     align="center",
                     className="text-center"
                 ),
-                className="metric-row",
+                justify="center"
+            ),
+            dbc.Row(
+                [
+                    dbc.Col(
+                        [
+                            html.Div(
+                                "Breakdown of real EPCs",
+                                style={"fontSize": "1.5rem", "fontWeight": "bold", "marginBottom": "1em"},
+                                className='text-center'
+                            ),
+                            html.Div(
+                                "This pie chart shows the proportion of real EPCs in the asset list. Currently, "
+                                "there are EPCs for 3736 of the 5245 properties that have a UPRN in the asset list",
+                                style={"marginBottom": "1em"}
+                            ),
+                            make_real_epc_piechart(real_epc_breakdown),
+                        ],
+                        width={"size": 5},
+                    ),
+                    dbc.Col(
+                        [
+                            html.Div(
+                                "EPC Ratings for properties with an EPC",
+                                style={"fontSize": "1.5rem", "fontWeight": "bold", "marginBottom": "1em"},
+                                className='text-center'
+                            ),
+                            html.Div(
+                                [
+                                    "This pie chart shows the breakdown of EPC ratings, for properties that currently "
+                                    "have an EPC. "
+                                    "The ratings range from A to G, where surprisingly, there are two EPC properties "
+                                    "that were initially "
+                                    "expected by Parity's modelled SAP, to be EPC D or below. These properties can be"
+                                    " seen ",
+                                    html.A("here",
+                                           href="https://find-energy-certificate.service.gov.uk/energy-certificate"
+                                                "/2708-5001-7327-6090-7284",
+                                           target="_blank"),
+                                    " and ",
+                                    html.A("here",
+                                           href="https://find-energy-certificate.service.gov.uk/energy-certificate"
+                                                "/1037-4032-1009-0361-7292",
+                                           target="_blank"),
+                                    "."
+                                ],
+                                style={"marginBottom": "1em"}
+                            ),
+                            make_epc_rating_piechart(epc_rating_breakdown),
+                        ],
+
+                        width={"size": 5},
+                    ),
+                ],
                 justify="center"
             )
         ],