Repository: Urban-Analytics-Technology-Platform/poppusher (language: python)

Issue:
Refactor 'england.py' legacy script into individual assets
The `england.py` script within the `uk` asset group is currently a demo of how `dagster-pipes` _can_ be used. It is would better if it was split up into separate assets, as described in #38.


Discussion / hints:

Fix patch:
diff --git a/notebooks/explore.ipynb b/notebooks/explore.ipynb
index 44c18f0..aac160f 100644
--- a/notebooks/explore.ipynb
+++ b/notebooks/explore.ipynb
@@ -2,14 +2,22 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
     "import popgetter\n",
     "from icecream import ic\n",
     "import pandas as pd\n",
-    "\n",
+    "import re"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "catalog: pd.DataFrame = popgetter.defs.load_asset_value([\"be\", \"catalog_as_dataframe\"])\n",
     "\n",
     "geo_cat = catalog[\n",
@@ -34,6 +42,55 @@
     "# \"node\" : \"https://statbel.fgov.be/node/4726\","
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024-07-04 11:42:45 +0100 - dagster - DEBUG - system - Loading file from: /Users/a.smith/code/urbananalytics/popgetter/persist/storage/gbr/catalog using PickledObjectFilesystemIOManager...\n",
+      "ic| source_download_url: array(['https://www.nomisweb.co.uk/output/census/2021/census2021-ts001.zip'],\n",
+      "                               dtype=object)\n",
+      "ic| source_archive_file_path: 'census2021-ts001-oa.csv'\n",
+      "ic| source_download_url: array(['https://www.nomisweb.co.uk/output/census/2021/census2021-ts001.zip'],\n",
+      "                               dtype=object)\n",
+      "ic| source_archive_file_path: 'census2021-ts001-oa.csv'\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'census2021-ts001-oa.csv'"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "catalog: pd.DataFrame = popgetter.defs.load_asset_value([\"gbr\", \"catalog\"])\n",
+    "\n",
+    "# catalog.head(1).T\n",
+    "\n",
+    "current_table = catalog[catalog[\"partition_key\"] == \"oa/TS001\"]\n",
+    "\n",
+    "source_download_url = current_table[\"source_download_url\"].values\n",
+    "source_archive_file_path = current_table[\"source_archive_file_path\"].values[0]\n",
+    "\n",
+    "ic(source_download_url)\n",
+    "ic(source_archive_file_path)\n",
+    "\n",
+    "source_download_url = current_table[\"source_download_url\"].to_numpy()\n",
+    "source_archive_file_path = current_table[\"source_archive_file_path\"].to_numpy()[0]\n",
+    "\n",
+    "ic(source_download_url)\n",
+    "ic(source_archive_file_path)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -48,6 +105,352 @@
     "# ic(geometry.columns)\n",
     "geometry.plot(legend=True)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "\n",
+    "# Get description of the table\n",
+    "api_url = \"https://www.nomisweb.co.uk/api/v01/dataset/nm_1_1.overview.json?select=DateMetadata,DatasetMetadata,Dimensions,DimensionMetadata\"\n",
+    "\n",
+    "api_url = \"https://www.nomisweb.co.uk/api/v01/dataset/C2021TS001/overview.json?select=DatesetInfo\"\n",
+    "\n",
+    "api_url = \"https://www.nomisweb.co.uk/api/v01/concept/C2021TS001.def.sdmx.json\"\n",
+    "\n",
+    "\n",
+    "# DatasetInfo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "ic| df.shape: (331, 312)\n",
+      "ic| list(range(5, 17)): [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n",
+      "ic| columns_to_sum: ['Sex: All persons; Age: Aged 5 years; measures: Value',\n",
+      "                     'Sex: All persons; Age: Aged 6 years; measures: Value',\n",
+      "                     'Sex: All persons; Age: Aged 7 years; measures: Value',\n",
+      "                     'Sex: All persons; Age: Aged 8 years; measures: Value',\n",
+      "                     'Sex: All persons; Age: Aged 9 years; measures: Value',\n",
+      "                     'Sex: All persons; Age: Aged 10 years; measures: Value',\n",
+      "                     'Sex: All persons; Age: Aged 11 years; measures: Value',\n",
+      "                     'Sex: All persons; Age: Aged 12 years; measures: Value',\n",
+      "                     'Sex: All persons; Age: Aged 13 years; measures: Value',\n",
+      "                     'Sex: All persons; Age: Aged 14 years; measures: Value',\n",
+      "                     'Sex: All persons; Age: Aged 15 years; measures: Value',\n",
+      "                     'Sex: All persons; Age: Aged 16 years; measures: Value',\n",
+      "                     'Sex: All persons; Age: Aged 17 years; measures: Value']\n",
+      "ic| new_table.shape: (331, 4)\n",
+      "ic| new_table.head():    date             geography geography code  new_col\n",
+      "                      0  2021            Hartlepool      E06000001    14847\n",
+      "                      1  2021         Middlesbrough      E06000002    24540\n",
+      "                      2  2021  Redcar and Cleveland      E06000003    20440\n",
+      "                      3  2021      Stockton-on-Tees      E06000004    32528\n",
+      "                      4  2021            Darlington      E06000005    16739\n",
+      "ic| new_table.columns: Index(['date', 'geography', 'geography code', 'new_col'], dtype='object')\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Index(['date', 'geography', 'geography code', 'new_col'], dtype='object')"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Test aggregation of census2021-ts009-ltla\n",
+    "\n",
+    "df = pd.read_csv(\"/Users/a.smith/Downloads/census2021-ts009/census2021-ts009-ltla.csv\")\n",
+    "ic(df.shape)\n",
+    "\n",
+    "# single_row = df.head(1)\n",
+    "# ic(single_row.T)\n",
+    "\n",
+    "# Reproduce this example from NI:\n",
+    "# DerivedColumn(\n",
+    "#     hxltag=\"#population+children+age5_17\",\n",
+    "#     filter_func=lambda df: df.query(f\"{age_code} >= 5 and {age_code} < 18\"),\n",
+    "#     output_column_name=\"children_5_17\",\n",
+    "#     human_readable_name=\"Children aged 5 to 17\",\n",
+    "# ),\n",
+    "\n",
+    "\n",
+    "def columns_for_5_17():\n",
+    "    regex_str = r\"Sex: All persons; Age: Aged (?P<age>\\d\\d?) years?; measures: Value\"\n",
+    "    regex = re.compile(regex_str)\n",
+    "\n",
+    "    ic(list(range(5, 17)))\n",
+    "\n",
+    "    columns_to_sum = []\n",
+    "    for col in df.columns:\n",
+    "        match = regex.search(col)\n",
+    "        if match and int(match.group(\"age\")) in list(range(5, 18)):\n",
+    "            columns_to_sum.append(col)\n",
+    "    return columns_to_sum\n",
+    "\n",
+    "\n",
+    "#  [col for col in df.columns if ic(regex.search(col).group(\"age\")) in (\"0\", \"1\")]\n",
+    "columns_to_sum = columns_for_5_17()\n",
+    "ic(columns_to_sum)\n",
+    "\n",
+    "# filter_func = lambda row: sum([col in row for col in (\"All ages\", \"All\")])\n",
+    "func = lambda row: sum([row[col] for col in columns_to_sum])\n",
+    "\n",
+    "# result = single_row.apply(filter_func, axis=1)\n",
+    "# ic(result)\n",
+    "\n",
+    "new_table = df.assign(**{\"new_col\": df.apply(func, axis=1)}).filter(\n",
+    "    [\"date\", \"geography\", \"geography code\", \"new_col\"]\n",
+    ")\n",
+    "ic(new_table.shape)\n",
+    "ic(new_table.head())\n",
+    "ic(new_table.columns)\n",
+    "# for r in single_row.columns:\n",
+    "#     print(r)\n",
+    "# ic(new_table[['date', 'geography', 'geography code', 'new_col']])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "ic| l: ['z', 'a', 'b', 'c']\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "['z', 'a', 'b', 'c']"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d = {\"a\": 1, \"b\": 2, \"c\": 3}\n",
+    "\n",
+    "l = [\"z\", *d.keys()]\n",
+    "ic(l)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "abc\n",
+      "defghi\n",
+      "jklmnopqrstuvwxyz\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Understanding partials\n",
+    "\n",
+    "from functools import partial\n",
+    "\n",
+    "\n",
+    "all_columns_to_sum = [\n",
+    "    [\"a\", \"b\", \"c\"],\n",
+    "    [\"d\", \"e\", \"f\", \"g\", \"h\", \"i\"],\n",
+    "    [\n",
+    "        \"j\",\n",
+    "        \"k\",\n",
+    "        \"l\",\n",
+    "        \"m\",\n",
+    "        \"n\",\n",
+    "        \"o\",\n",
+    "        \"p\",\n",
+    "        \"q\",\n",
+    "        \"r\",\n",
+    "        \"s\",\n",
+    "        \"t\",\n",
+    "        \"u\",\n",
+    "        \"v\",\n",
+    "        \"w\",\n",
+    "        \"x\",\n",
+    "        \"y\",\n",
+    "        \"z\",\n",
+    "    ],\n",
+    "]\n",
+    "\n",
+    "all_funcs = []\n",
+    "\n",
+    "for columns_to_sum in all_columns_to_sum:\n",
+    "\n",
+    "    def func(char_list):\n",
+    "        # return sum([row[col] for col in columns_to_sum])\n",
+    "        # return partial(lambda x: \"\".join(x), char_list)\n",
+    "        return \"\".join(char_list)\n",
+    "\n",
+    "    all_funcs.append(partial(func, char_list=columns_to_sum))\n",
+    "\n",
+    "\n",
+    "for my_func in all_funcs:\n",
+    "    print(my_func())\n",
+    "    # print(filter_func({\"a\": 1, \"b\": 2, \"c\": 3, \"d\": 4, \"e\": 5, \"f\": 6}))\n",
+    "\n",
+    "# def filter_func(row):\n",
+    "#     return sum([row[col] for col in columns_to_sum])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024-07-04 20:31:03 +0100 - dagster - DEBUG - system - Loading file from: /Users/a.smith/code/urbananalytics/popgetter/persist/storage/gbr/census_tables/ltla/TS009 using PickledObjectFilesystemIOManager...\n",
+      "ic| type(derived): <class 'pandas.core.frame.DataFrame'>\n",
+      "ic| derived.head(1).T:                                                              0\n",
+      "                       date                                                      2021\n",
+      "                       geography                                           Hartlepool\n",
+      "                       geography code                                       E06000001\n",
+      "                       Sex: All persons; Age: Total; measures: Value            92347\n",
+      "                       Sex: All persons; Age: Aged 4 years and under; ...        4981\n",
+      "                       ...                                                        ...\n",
+      "                       Sex: Male; Age: Aged 86 years; measures: Value             122\n",
+      "                       Sex: Male; Age: Aged 87 years; measures: Value             122\n",
+      "                       Sex: Male; Age: Aged 88 years; measures: Value             101\n",
+      "                       Sex: Male; Age: Aged 89 years; measures: Value              81\n",
+      "                       Sex: Male; Age: Aged 90 years and over; measure...         217\n",
+      "                       \n",
+      "                       [312 rows x 1 columns]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <td>2021</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>geography</th>\n",
+       "      <td>Hartlepool</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>geography code</th>\n",
+       "      <td>E06000001</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sex: All persons; Age: Total; measures: Value</th>\n",
+       "      <td>92347</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sex: All persons; Age: Aged 4 years and under; measures: Value</th>\n",
+       "      <td>4981</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sex: Male; Age: Aged 86 years; measures: Value</th>\n",
+       "      <td>122</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sex: Male; Age: Aged 87 years; measures: Value</th>\n",
+       "      <td>122</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sex: Male; Age: Aged 88 years; measures: Value</th>\n",
+       "      <td>101</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sex: Male; Age: Aged 89 years; measures: Value</th>\n",
+       "      <td>81</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sex: Male; Age: Aged 90 years and over; measures: Value</th>\n",
+       "      <td>217</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>312 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                             0\n",
+       "date                                                      2021\n",
+       "geography                                           Hartlepool\n",
+       "geography code                                       E06000001\n",
+       "Sex: All persons; Age: Total; measures: Value            92347\n",
+       "Sex: All persons; Age: Aged 4 years and under; ...        4981\n",
+       "...                                                        ...\n",
+       "Sex: Male; Age: Aged 86 years; measures: Value             122\n",
+       "Sex: Male; Age: Aged 87 years; measures: Value             122\n",
+       "Sex: Male; Age: Aged 88 years; measures: Value             101\n",
+       "Sex: Male; Age: Aged 89 years; measures: Value              81\n",
+       "Sex: Male; Age: Aged 90 years and over; measure...         217\n",
+       "\n",
+       "[312 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "derived = popgetter.defs.load_asset_value(\n",
+    "    [\"gbr\", \"census_tables\"], partition_key=\"ltla/TS009\"\n",
+    ")\n",
+    "\n",
+    "ic(type(derived))\n",
+    "ic(derived.head(1).T)\n",
+    "# ic(derived.metadata)\n",
+    "# ic(derived.metrics.head(1).T)"
+   ]
   }
  ],
  "metadata": {
@@ -66,7 +469,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.12.2"
   }
  },
  "nbformat": 4,
diff --git a/python/popgetter/assets/uk/__init__.py b/python/popgetter/assets/uk/__init__.py
index 610c6e1..720276a 100644
--- a/python/popgetter/assets/uk/__init__.py
+++ b/python/popgetter/assets/uk/__init__.py
@@ -3,7 +3,8 @@
 from pathlib import Path
 
 from . import (
-    uk_os_opendata,  # noqa: F401
+    england_wales_census,  # noqa: F401
+    # uk_os_opendata,
     united_kingdom,  # noqa: F401
 )
 
@@ -12,6 +13,10 @@
 uk_venv_path: str = str((Path(__file__).parent.parent / "uk_venv").absolute())
 
 
+####################
+# Remove the following code block
+# For now-just to check the list of assets
+####################
 # @asset(key_prefix="uk", name="create_custom_venv")
 # def create_custom_venv(
 #     context,
diff --git a/python/popgetter/assets/uk/england_wales_census.py b/python/popgetter/assets/uk/england_wales_census.py
new file mode 100644
index 0000000..ebf75bd
--- /dev/null
+++ b/python/popgetter/assets/uk/england_wales_census.py
@@ -0,0 +1,819 @@
+from __future__ import annotations
+
+import re
+import zipfile
+from collections.abc import Callable, Iterable
+from dataclasses import dataclass
+from datetime import date
+from functools import partial
+from pathlib import Path
+from tempfile import TemporaryDirectory
+from typing import Any, ClassVar, Literal
+from urllib.parse import urljoin
+
+import dagster
+import geopandas as gpd
+import pandas as pd
+import requests
+from bs4 import BeautifulSoup
+from dagster import MetadataValue
+from icecream import ic
+from pandas import DataFrame
+
+from popgetter.assets.country import Country
+from popgetter.cloud_outputs import GeometryOutput, MetricsOutput
+from popgetter.metadata import (
+    COL,
+    CountryMetadata,
+    DataPublisher,
+    GeometryMetadata,
+    MetricMetadata,
+    SourceDataRelease,
+    metadata_to_dataframe,
+)
+from popgetter.utils import (
+    SourceDataAssumptionsOutdated,
+    add_metadata,
+    extract_main_file_from_zip,
+    markdown_from_plot,
+)
+
+# TODO:
+# - Create a asset which is a catalog of the available data / tables / metrics
+# - This catalog must include a field which is the smallest geometry level where the data is available
+# - The geometry level is only discoverable after downloading the zip file
+# - The zip files can contain multiple CSV files, one for each geometry level
+# - Some of the downloaded files mistakenly have two consecutive `.` in the filename, e.g. `census2021-ts002-lsoa..csv`. We need to be able to gracefully handle this
+# - The catalog must to parsed into an Dagster Partition, so that
+#    - individual tables can be uploaded to the cloud table sensor
+#    - the metadata object can be created for each table/metric
+from .united_kingdom import country
+
+
+@dataclass
+class EWCensusGeometryLevel:
+    level: str
+    geo_id_column: str
+    name_columns: dict[str, str]  # keys = language codes, values = column names
+    data_download_url: str
+    documentation_url: str
+    hxl_tag: str = ""
+
+    def __post_init__(self):
+        if self.hxl_tag == "":
+            self.hxl_tag = f"#geo+bounds+code+{self.level}"
+
+
+@dataclass
+class SourceTable:
+    hxltag: str
+    geo_level: str
+    geo_column: str
+    source_column: str
+
+
+@dataclass
+class DerivedColumn:
+    hxltag: str
+    # If `None`, then just the named `source_column` will be used
+    column_select: Callable[[pd.DataFrame], list[str]]
+    output_column_name: str
+    human_readable_name: str
+
+
+def census_table_metadata(
+    catalog_row: dict[str, str],
+    source_table: SourceTable,
+    source_data_releases: dict[str, SourceDataRelease],
+) -> MetricMetadata:
+    return MetricMetadata(
+        human_readable_name=catalog_row["human_readable_name"],
+        source_download_url=catalog_row["source_download_url"],
+        source_archive_file_path=catalog_row["source_archive_file_path"],
+        source_documentation_url=catalog_row["source_documentation_url"],
+        source_data_release_id=source_data_releases[source_table.geo_level].id,
+        # TODO - this is a placeholder
+        parent_metric_id="unknown_at_this_stage",
+        potential_denominator_ids=None,
+        parquet_margin_of_error_file=None,
+        parquet_margin_of_error_column=None,
+        parquet_column_name=source_table.source_column,
+        # TODO - this is a placeholder
+        metric_parquet_path="unknown_at_this_stage",
+        hxl_tag=source_table.hxltag,
+        description=catalog_row["description"],
+        source_metric_id=source_table.hxltag,
+    )
+
+
+CENSUS_COLLECTION_DATE = date(2021, 3, 21)
+
+EW_CENSUS_GEO_LEVELS: dict[str, EWCensusGeometryLevel] = {
+    "oa": EWCensusGeometryLevel(
+        level="oa",
+        geo_id_column="oa21cd",
+        name_columns={"eng": "name"},
+        data_download_url="https://borders.ukdataservice.ac.uk/ukborders/easy_download/prebuilt/shape/Ew_oa_2021.zip",
+        documentation_url="https://borders.ukdataservice.ac.uk/easy_download_data.html?data=Ew_oa_2021",
+    ),
+    "lsoa": EWCensusGeometryLevel(
+        level="lsoa",
+        geo_id_column="lsoa21cd",
+        name_columns={"eng": "name"},
+        data_download_url="https://borders.ukdataservice.ac.uk/ukborders/easy_download/prebuilt/shape/Ew_lsoa_2021.zip",
+        documentation_url="https://borders.ukdataservice.ac.uk/easy_download_data.html?data=Ew_lsoa_2021",
+    ),
+    "msoa": EWCensusGeometryLevel(
+        level="msoa",
+        geo_id_column="msoa21cd",
+        name_columns={"eng": "name"},
+        data_download_url="https://borders.ukdataservice.ac.uk/ukborders/easy_download/prebuilt/shape/Ew_msoa_2021.zip",
+        documentation_url="https://borders.ukdataservice.ac.uk/easy_download_data.html?data=Ew_msoa_2021",
+    ),
+    "ltla": EWCensusGeometryLevel(
+        level="ltla",
+        geo_id_column="ltla22cd",
+        name_columns={"eng": "ltla22nm", "cym": "ltla22nmw"},
+        data_download_url="https://borders.ukdataservice.ac.uk/ukborders/easy_download/prebuilt/shape/Ew_ltla_2022.zip",
+        documentation_url="https://borders.ukdataservice.ac.uk/easy_download_data.html?data=Ew_ltla_2022",
+    ),
+    "rgn": EWCensusGeometryLevel(
+        level="rgn",
+        geo_id_column="rgn22cd",
+        name_columns={"eng": "rgn22nm", "cym": "rgn22nmw"},
+        data_download_url="https://borders.ukdataservice.ac.uk/ukborders/easy_download/prebuilt/shape/Ew_rgn_2022.zip",
+        documentation_url="https://borders.ukdataservice.ac.uk/easy_download_data.html?data=Ew_rgn_2022",
+    ),
+    "ctry": EWCensusGeometryLevel(
+        level="ctry",
+        geo_id_column="ctry22cd",
+        name_columns={"eng": "ctry22nm", "cym": "ctry22nmw"},
+        data_download_url="https://borders.ukdataservice.ac.uk/ukborders/easy_download/prebuilt/shape/Ew_ctry_2022.zip",
+        documentation_url="https://borders.ukdataservice.ac.uk/easy_download_data.html?data=Ew_ctry_2022",
+    ),
+}
+
+
+# TODO - this is probably only required for tests,
+# hence would be best move to a test fixture
+# REQUIRED_TABLES = ["TS009"] if os.getenv("ENV") == "dev" else None
+REQUIRED_TABLES = None
+
+# TODO - these regexes are probably only useful for table TS009.
+# At present that is the only table we use using for any of the derived metrics
+# In future we might need to structure these in a more scalable manner
+SexCategory = Literal["female", "male", "total"]
+
+sex_regexes: dict[SexCategory, re.Pattern[str]] = {
+    "total": re.compile(r"Sex: All persons;"),
+    "female": re.compile(r"Sex: Female;"),
+    "male": re.compile(r"Sex: Male;"),
+}
+
+age_regex = re.compile(
+    r"Age: (Aged (?P<age>\d\d?) years?;|(?P<baby>Aged under 1 year);|(?P<ninetyplus>Aged 90 years and over);) measures: Value"
+)
+all_ages_regex = re.compile(r"Age: Total; measures: Value")
+
+
+def columns_selector(
+    columns_list: Iterable[Any], age_range: list[int] | None, sex: SexCategory
+):
+    sex_regex = sex_regexes[sex]
+
+    columns_to_sum = []
+    for col in columns_list:
+        if not sex_regex.search(col):
+            continue
+
+        # No age range specified, so just look for the total column
+        if age_range is None:
+            match = all_ages_regex.search(col)
+            if match:
+                columns_to_sum.append(col)
+            continue
+
+        # Else look for the specific age range
+        match = age_regex.search(col)
+        if match and (
+            (match.group("baby") and 0 in age_range)
+            or (match.group("ninetyplus") and 90 in age_range)
+            or (match.group("age") and int(match.group("age")) in age_range)
+        ):
+            columns_to_sum.append(col)
+
+    return columns_to_sum
+
+
+DERIVED_COLUMNS = [
+    DerivedColumn(
+        hxltag="#population+children+age5_17",
+        column_select=lambda df: columns_selector(
+            df.columns, list(range(5, 18)), "total"
+        ),
+        output_column_name="children_5_17",
+        human_readable_name="Children aged 5 to 17",
+    ),
+    DerivedColumn(
+        hxltag="#population+infants+age0_4",
+        column_select=lambda df: columns_selector(
+            df.columns,
+            list(range(5)),
+            "total",
+        ),
+        output_column_name="infants_0_4",
+        human_readable_name="Infants aged 0 to 4",
+    ),
+    DerivedColumn(
+        hxltag="#population+children+age0_17",
+        column_select=lambda df: columns_selector(df.columns, list(range(18)), "total"),
+        output_column_name="children_0_17",
+        human_readable_name="Children aged 0 to 17",
+    ),
+    DerivedColumn(
+        hxltag="#population+adults+f",
+        output_column_name="adults_f",
+        column_select=lambda df: columns_selector(
+            df.columns, list(range(18, 91)), "female"
+        ),
+        human_readable_name="Female adults",
+    ),
+    DerivedColumn(
+        hxltag="#population+adults+m",
+        column_select=lambda df: columns_selector(
+            df.columns, list(range(18, 91)), "male"
+        ),
+        output_column_name="adults_m",
+        human_readable_name="Male adults",
+    ),
+    DerivedColumn(
+        hxltag="#population+adults",
+        column_select=lambda df: columns_selector(
+            df.columns, list(range(18, 91)), "total"
+        ),
+        output_column_name="adults",
+        human_readable_name="Adults",
+    ),
+    DerivedColumn(
+        hxltag="#population+ind",
+        column_select=lambda df: columns_selector(df.columns, None, "total"),
+        output_column_name="individuals",
+        human_readable_name="Total individuals",
+    ),
+]
+
+# Lookup of `partition_key` (eg geom + source table id) to `DerivedColumn` (columns that can be derived from the source table)
+DERIVED_COLUMN_SPECIFICATIONS: dict[str, list[DerivedColumn]] = {
+    "ltla/TS009": DERIVED_COLUMNS,
+}
+
+
+class EnglandAndWales(Country):
+    geo_levels: ClassVar[list[str]] = list(EW_CENSUS_GEO_LEVELS.keys())
+    required_tables: list[str] | None = REQUIRED_TABLES
+    country_metadata: ClassVar[CountryMetadata] = country
+
+    def _country_metadata(self, _context) -> CountryMetadata:
+        return country
+
+    def _data_publisher(
+        self, _context, _country_metdata: CountryMetadata
+    ) -> DataPublisher:
+        return DataPublisher(
+            name="Office for National Statistics",
+            url="https://www.nomisweb.co.uk/sources/census_2021_bulk",
+            description="We are the UK's largest independent producer of official statistics and its recognised national statistical institute. We are responsible for collecting and publishing statistics related to the economy, population and society at national, regional and local levels. We also conduct the census in England and Wales every 10 years.",
+            countries_of_interest=[country.id],
+        )
+
+    def _catalog(self, context) -> pd.DataFrame:
+        self.remove_all_partition_keys(context)
+
+        catalog_summary = {
+            "node": [],
+            "partition_key": [],
+            "table_id": [],
+            "geo_level": [],
+            "human_readable_name": [],
+            "description": [],
+            "metric_parquet_file_url": [],
+            "parquet_column_name": [],
+            "parquet_margin_of_error_column": [],
+            "parquet_margin_of_error_file": [],
+            "potential_denominator_ids": [],
+            "parent_metric_id": [],
+            "source_data_release_id": [],
+            "source_download_url": [],
+            "source_format": [],
+            "source_archive_file_path": [],
+            "source_documentation_url": [],
+        }
+
+        bulk_downloads_df = bulk_downloads_webpage()
+
+        for bulk_downloads_index, row in bulk_downloads_df.iterrows():
+            table_id = row["table_id"]
+
+            source_documentation_url = _guess_source_documentation_url(table_id)
+
+            # Get description of the table
+            # TODO - For now this is page scraping the description from the source_documentation_url page
+            # In the future we should retrieve the description by finding a suitable API call.
+            # The relevant API is here "https://www.nomisweb.co.uk/api/v01/"
+            description = row["table_name"]
+            description = _retrieve_table_description(source_documentation_url)
+
+            # For now this does not use the "extra_post_release_filename" and "extra_post_release_url" tables
+            for geo_level in self.geo_levels:
+                # get the path within the zip file
+                archive_file_path = _guess_csv_filename(
+                    row["original_release_filename"], geo_level
+                )
+
+                catalog_summary["node"].append(bulk_downloads_index)
+                catalog_summary["table_id"].append(table_id)
+                catalog_summary["geo_level"].append(geo_level)
+                catalog_summary["partition_key"].append(f"{geo_level}/{table_id}")
+                catalog_summary["human_readable_name"].append(row["table_name"])
+                catalog_summary["description"].append(description)
+                catalog_summary["metric_parquet_file_url"].append(None)
+                catalog_summary["parquet_column_name"].append(None)
+                catalog_summary["parquet_margin_of_error_column"].append(None)
+                catalog_summary["parquet_margin_of_error_file"].append(None)
+                catalog_summary["potential_denominator_ids"].append(None)
+                catalog_summary["parent_metric_id"].append(None)
+                catalog_summary["source_data_release_id"].append(None)
+                catalog_summary["source_download_url"].append(
+                    row["original_release_url"]
+                )
+                catalog_summary["source_format"].append(None)
+                catalog_summary["source_archive_file_path"].append(archive_file_path)
+                catalog_summary["source_documentation_url"].append(
+                    source_documentation_url
+                )
+
+        catalog_df = pd.DataFrame.from_records(catalog_summary)
+        self.add_partition_keys(context, catalog_df["partition_key"].to_list())
+
+        add_metadata(context, catalog_df, "Catalog")
+        return catalog_df
+
+    def _census_tables(self, context, catalog: pd.DataFrame) -> pd.DataFrame:
+        """
+        WIP:
+        At present this function will download each zipfile multiple times. This is a consequence
+        of the fact that
+        * Each partition is a unique combination of topic summary and geometry level.
+        * Each zip file contains multiple files including every geometry level for a given topic
+          summary.
+
+        I cannot see an easy way to share a cached downloaded zip file where different files are
+        then extracted for different partitions (given dagster can in-theory execute partitions
+        in arbitrary order and even on a cluster of machines). However a better solution may exist.
+        """
+        partition_key = context.asset_partition_key_for_output()
+        current_table = catalog[catalog["partition_key"] == partition_key]
+
+        source_download_url = current_table["source_download_url"].to_numpy()[0]
+        source_archive_file_path = current_table["source_archive_file_path"].to_numpy()[
+            0
+        ]
+
+        def _extract_csv_from_zipfile(temp_zip: Path, archive_path: Path) -> str:
+            # This function works around certain bugs in the upstream source data
+            #
+            # 1) in some of the filenames have two consecutive `.` in the filename
+            # e.g. `census2021-ts002-lsoa..csv`
+            #
+            # 2) In some cases the individual csv file exists within zipfile, but
+            # is zero-sized. We treat this the same as if the file does not exist.
+            #
+            # 3) In at least one case the zipfile itself is malformed and cannot
+            # be read.
+            try:
+                extract_file_path = extract_main_file_from_zip(
+                    temp_zip, Path(temp_dir), archive_path
+                )
+            except ValueError:
+                source_archive_file_path = str(Path(archive_path).with_suffix("..csv"))
+                # If the file does not exist this second call will fail and we
+                # allow the exception to propagate.
+                extract_file_path = extract_main_file_from_zip(
+                    temp_zip, Path(temp_dir), source_archive_file_path
+                )
+            except zipfile.BadZipFile as bzf:
+                err_msg = "The downloaded zipfile is malformed and cannot be read."
+                raise ValueError(err_msg) from bzf
+
+            ic(extract_file_path)
+            if Path(extract_file_path).stat().st_size == 0:
+                err_msg = f"File {archive_path} exists but is zero-sized. Cannot read."
+                raise ValueError(err_msg)
+
+            return extract_file_path
+
+        # Keep the temp directory when developing, for debugging purposes
+        # del_temp_dir = os.getenv("ENV") != "dev"
+        with TemporaryDirectory() as temp_dir:  # pyright: ignore [reportCallIssue]
+            ic(source_download_url)
+            temp_zip = Path(_download_zipfile(source_download_url, temp_dir))
+
+            extract_file_path = None
+            try:
+                extract_file_path = _extract_csv_from_zipfile(
+                    temp_zip, source_archive_file_path
+                )
+            except ValueError:
+                # If we still can't find the file, then we assume that this combination of
+                # table and geometry level does not exist.
+                # We believe that there are ~63 cases (out of a possible 462) where this is the case
+                # There does not seems to be a way to determine prior to this point in the
+                # pipeline.
+                # In this case we will return an empty dataframe
+                err_msg = (
+                    f"Unable to find the file `{source_archive_file_path}` in the"
+                    f" zip file: {source_download_url}. Assuming this combination"
+                    " of topic summary and geometry level does not exist."
+                )
+                context.log.warning(err_msg)
+                # context.instance.delete_dynamic_partition(self.partition_name, partition_key)
+                return pd.DataFrame()
+
+            # If we still can't find the file, then there is a different, unforeseen problem
+            if not extract_file_path:
+                err_msg = f"Unable to find the file `{source_archive_file_path}` in the zip file: {source_download_url}"
+                raise SourceDataAssumptionsOutdated(err_msg)
+
+            census_table = pd.read_csv(extract_file_path)
+
+        add_metadata(context, census_table, title=partition_key)
+        return census_table
+
+    def _derived_metrics(
+        self, context, census_tables: DataFrame, source_metric_metadata: MetricMetadata
+    ) -> MetricsOutput:
+        _SEP = "_"
+        partition_key = context.partition_key
+        _geo_level = partition_key.split("/")[0]
+        source_table = census_tables
+        source_mmd = source_metric_metadata
+        # source_column = source_mmd.parquet_column_name
+        # context.log.debug(ic(source_table.columns))
+        # context.log.debug(ic(source_column))
+        # context.log.debug(ic(source_table.head()))
+        context.log.debug(ic(len(source_table)))
+
+        if len(source_table) == 0:
+            # Source data not available
+            msg = f"Source data not available for partition key: {partition_key}"
+            context.log.warning(msg)
+            return MetricsOutput(metadata=[], metrics=pd.DataFrame())
+
+        # geo_id = EW_CENSUS_GEO_LEVELS[geo_level].census_table_column
+        # The columns "date", "geography" and "geography code" appear to be common to all tables
+        # TODO - Could we use the "date" column to update the mmds?
+        geo_id = "geography code"
+        source_table = source_table.rename(columns={geo_id: COL.GEO_ID.value}).drop(
+            # Drop the "geography" column as it is the name, not the ID
+            columns=["date", "geography"]
+        )
+
+        parquet_file_name = (
+            f"{self.key_prefix}/metrics/"
+            f"{''.join(c for c in partition_key if c.isalnum()) + '.parquet'}"
+        )
+        derived_mmd: list[MetricMetadata] = []
+
+        # Create MMD for all of the existing columns
+        for col in source_table.columns:
+            # We do not need an MMD for the GEO_ID column
+            if col == COL.GEO_ID.value:
+                continue
+            new_mmd = source_mmd.model_copy(deep=True)
+            new_mmd.parent_metric_id = source_mmd.source_metric_id
+            new_mmd.metric_parquet_path = parquet_file_name
+            new_mmd.hxl_tag = "#population+details_unknown"
+            new_mmd.parquet_column_name = str(col)
+            new_mmd.human_readable_name = str(col)
+            derived_mmd.append(new_mmd)
+
+        # Now deal with the derived columns - create MMD and functions to calculate them
+        new_column_funcs = {}
+
+        # Filter function to sum the columns (which will be used in the loop below)
+        def sum_cols_func(df, col_names: Iterable[str]):
+            return df[col_names].sum(axis=1)
+            #  sum([df[col] for col in col_names])
+
+        try:
+            metric_specs = DERIVED_COLUMN_SPECIFICATIONS[partition_key]
+            for metric_spec in metric_specs:
+                # Get the list of columns that need to be summed
+                columns_to_sum = metric_spec.column_select(source_table)
+                # ic(type(columns_to_sum))
+                # ic(columns_to_sum)
+                # Add details to the dict of new columns that will be created
+                new_column_funcs[metric_spec.output_column_name] = partial(
+                    sum_cols_func, col_names=columns_to_sum
+                )
+
+                # Create a new metric metadata object
+                new_mmd = source_mmd.model_copy(deep=True)
+                new_mmd.parent_metric_id = source_mmd.source_metric_id
+                new_mmd.metric_parquet_path = parquet_file_name
+                new_mmd.hxl_tag = metric_spec.hxltag
+                new_mmd.parquet_column_name = metric_spec.output_column_name
+                new_mmd.human_readable_name = metric_spec.human_readable_name
+                derived_mmd.append(new_mmd)
+        except KeyError:
+            # No extra derived metrics specified for this partition -- only use
+            # those from pivoted data
+            pass
+
+        # Create a new table which only has the GEO_ID and the new columns
+        new_table = source_table.assign(**new_column_funcs)
+
+        ic(len(derived_mmd))
+        ic(len(new_table.columns))
+        ic(type(context))
+
+        # TODO - adding metadata does not work in the tests
+        # checking the type of the `context` object is a workarroun for this
+        # A more robust solution is required
+        if not isinstance(
+            context,
+            dagster._core.execution.context.invocation.DirectAssetExecutionContext,
+        ):
+            context.add_output_metadata(
+                metadata={
+                    "metadata_preview": MetadataValue.md(
+                        metadata_to_dataframe(derived_mmd).head().to_markdown()
+                    ),
+                    "metrics_shape": f"{new_table.shape[0]} rows x {new_table.shape[1]} columns",
+                    "metrics_columns": MetadataValue.json(new_table.columns.to_list()),
+                    "metrics_preview": MetadataValue.md(new_table.head().to_markdown()),
+                },
+            )
+
+        return MetricsOutput(metadata=derived_mmd, metrics=new_table)
+
+    def _source_data_releases(
+        self,
+        _context,
+        geometry: list[GeometryOutput],
+        data_publisher: DataPublisher,
+    ) -> dict[str, SourceDataRelease]:
+        source_data_releases = {}
+
+        for geo_output in geometry:
+            geo_metadata = geo_output.metadata
+            source_data_release: SourceDataRelease = SourceDataRelease(
+                name="Census 2021",
+                date_published=date(2022, 6, 28),
+                reference_period_start=CENSUS_COLLECTION_DATE,
+                reference_period_end=CENSUS_COLLECTION_DATE,
+                collection_period_start=CENSUS_COLLECTION_DATE,
+                collection_period_end=CENSUS_COLLECTION_DATE,
+                expect_next_update=date(2031, 1, 1),
+                url="https://www.ons.gov.uk/census",
+                data_publisher_id=data_publisher.id,
+                # Taken from https://www.ons.gov.uk/census
+                description="The census takes place every 10 years. It gives us a picture of all the people and households in England and Wales.",
+                geometry_metadata_id=geo_metadata.id,
+            )
+            source_data_releases[geo_metadata.level] = source_data_release
+        return source_data_releases
+
+    def _source_metric_metadata(
+        self,
+        context,
+        catalog: pd.DataFrame,
+        source_data_releases: dict[str, SourceDataRelease],
+    ) -> MetricMetadata:
+        partition_key = context.partition_key
+        if (
+            self.required_tables is not None
+            and partition_key not in DERIVED_COLUMN_SPECIFICATIONS
+        ):
+            skip_reason = (
+                f"Skipping as requested partition {partition_key} is not configured "
+                f"for derived metrics {DERIVED_COLUMN_SPECIFICATIONS.keys()}"
+            )
+            context.log.warning(skip_reason)
+            raise RuntimeError(skip_reason)
+
+        catalog_row = catalog[catalog["partition_key"] == partition_key].to_dict(
+            orient="records"
+        )[0]
+
+        geo_level = catalog_row["geo_level"]
+        source_table = SourceTable(
+            # TODO: how programmatically do this
+            hxltag="TBD",
+            geo_level=geo_level,
+            geo_column=EW_CENSUS_GEO_LEVELS[geo_level].geo_id_column,
+            source_column="Count",
+        )
+
+        return census_table_metadata(
+            catalog_row,
+            source_table,
+            source_data_releases,
+        )
+
+    def _geometry(self, context) -> list[GeometryOutput]:
+        # TODO: This is almost identical to Northern Ireland and Belgium so can probably be refactored to common
+        # function with config of releases and languages
+        geometries_to_return = []
+        for level_details in EW_CENSUS_GEO_LEVELS.values():
+            # TODO: get correct values
+            geometry_metadata = GeometryMetadata(
+                validity_period_start=CENSUS_COLLECTION_DATE,
+                validity_period_end=CENSUS_COLLECTION_DATE,
+                level=level_details.level,
+                hxl_tag=level_details.hxl_tag,
+                country_metadata=country,
+            )
+            geometries_raw: gpd.GeoDataFrame = gpd.read_file(
+                level_details.data_download_url
+            )
+
+            context.log.debug(ic(level_details))
+            context.log.debug(ic(geometries_raw.head(1).T))
+
+            # Standardised the column names
+            geometries_gdf = geometries_raw.rename(
+                columns={level_details.geo_id_column: "GEO_ID"}
+            ).loc[:, ["geometry", "GEO_ID"]]
+            name_lookup_df = (
+                geometries_raw.rename(
+                    columns={
+                        level_details.geo_id_column: "GEO_ID",
+                        level_details.name_columns["eng"]: "eng",
+                    }
+                )
+                .loc[:, ["GEO_ID", "eng"]]
+                .drop_duplicates()
+            )
+            geometries_to_return.append(
+                GeometryOutput(
+                    metadata=geometry_metadata,
+                    gdf=geometries_gdf,
+                    names_df=name_lookup_df,
+                )
+            )
+
+        # Add output metadata
+        # TODO, It is not clear that this is the best way to represent the metadata
+        # Specifically, this assumes that the order of EW_CENSUS_GEO_LEVELS is based
+        # on the hierarchy of the geometries, which may not be the case.
+        example_geometry_output = geometries_to_return[0]
+        first_metadata = example_geometry_output.metadata
+        first_gdf = example_geometry_output.gdf
+        first_names = example_geometry_output.names_df
+        first_joined_gdf = first_gdf.merge(first_names, on="GEO_ID")
+        ax = first_joined_gdf.plot(column="eng", legend=False)
+        ax.set_title(f"England & Wales 2021 {first_metadata.level}")
+        md_plot = markdown_from_plot()
+        context.add_output_metadata(
+            metadata={
+                "all_geom_levels": MetadataValue.md(
+                    ",".join(
+                        [
+                            geom_output.metadata.level
+                            for geom_output in geometries_to_return
+                        ]
+                    )
+                ),
+                "first_geometry_plot": MetadataValue.md(md_plot),
+                "first_names_preview": MetadataValue.md(
+                    first_names.head().to_markdown()
+                ),
+            }
+        )
+
+        return geometries_to_return
+
+
+def _guess_source_documentation_url(table_id):
+    return f"https://www.nomisweb.co.uk/datasets/c2021{table_id.lower()}"
+
+
+def _retrieve_table_description(source_documentation_url):
+    soup = BeautifulSoup(
+        requests.get(source_documentation_url).content, features="lxml"
+    )
+    landing_info = soup.find_all(id="dataset-landing-information")
+
+    try:
+        assert len(landing_info) == 1
+        landing_info = landing_info[0]
+    except AssertionError as ae:
+        err_msg = f"Expected a single section with `id=dataset-landing-information`, but found {len(landing_info)}."
+        raise SourceDataAssumptionsOutdated(err_msg) from ae
+
+    return "\n".join([text.strip() for text in landing_info.stripped_strings])
+
+
+def _guess_csv_filename(zip_filename, geometry_level):
+    """
+    Guess the name of the main file in the zip file.
+    """
+    stem = Path(zip_filename).stem
+    return f"{stem}-{geometry_level}.csv"
+
+
+def bulk_downloads_webpage() -> pd.DataFrame:
+    """
+    Get the list of bulk zip files from the bulk downloads page.
+    """
+    bulk_downloads_page = "https://www.nomisweb.co.uk/sources/census_2021_bulk"
+    columns = ["table_id", "description", "original_release", "extra_post_release"]
+    dfs = pd.read_html(bulk_downloads_page, header=0, extract_links="all")
+
+    if len(dfs) != 1:
+        err_msg = f"Expected a single table on the bulk downloads page, but found {len(dfs)} tables."
+        raise SourceDataAssumptionsOutdated(err_msg)
+
+    # The first table is the one we want
+    download_df = dfs[0]
+    download_df.columns = columns
+
+    # There are some subheadings in the table, which are added as rows by `read_html`
+    # These can be identified by the `table_id` == `description` == `original_release_filename`
+    # We need to drop these rows
+    download_df = download_df[download_df["table_id"] != download_df["description"]]
+    # expand the tuples into individual columns
+    return _expand_tuples_in_df(download_df)
+
+
+def _expand_tuples_in_df(df) -> pd.DataFrame:
+    """
+    Expand the tuples in the DataFrame.
+    """
+    root_url = "https://www.nomisweb.co.uk/"
+
+    columns = [
+        "table_id",
+        "table_name",
+        "original_release_filename",
+        "original_release_url",
+        "extra_post_release_filename",
+        "extra_post_release_url",
+    ]
+    new_df = pd.DataFrame(columns=columns)
+
+    # Copy individual columns from the tuples
+    # If there is a URL, it is in the second element of the tuple, and should be joined with the root URL
+    # "table_id" and "description" do not have URLs
+    new_df["table_id"] = df["table_id"].apply(lambda x: x[0])
+    new_df["table_name"] = df["description"].apply(lambda x: x[0])
+    new_df["original_release_filename"] = df["original_release"].apply(lambda x: x[0])
+    new_df["original_release_url"] = df["original_release"].apply(
+        lambda x: urljoin(root_url, x[1])
+    )
+
+    # There may not be a valid value for "extra_post_release", hence the check using `isinstance`
+    new_df["extra_post_release_filename"] = df["extra_post_release"].apply(
+        lambda x: x[0] if isinstance(x, tuple) else None
+    )
+    new_df["extra_post_release_url"] = df["extra_post_release"].apply(
+        lambda x: urljoin(root_url, x[1]) if isinstance(x, tuple) else None
+    )
+
+    return new_df
+
+
+def _download_zipfile(source_download_url, temp_dir) -> str:
+    temp_dir = Path(temp_dir)
+    temp_file = temp_dir / "data.zip"
+
+    with requests.get(source_download_url, stream=True) as r:
+        r.raise_for_status()
+        with Path(temp_file).open(mode="wb") as f:
+            for chunk in r.iter_content(chunk_size=(16 * 1024 * 1024)):
+                f.write(chunk)
+
+    return str(temp_file.resolve())
+
+
+# if __name__ == "__main__":
+#     # This is for testing only
+#     # bulk_files_df = bulk_downloads_webpage()
+#     # bulk_files_df = bulk_files_df.head(2)
+#     # ic(bulk_files_df)
+
+#     download_zip_files(bulk_files_df)
+
+
+# Assets
+ew_census = EnglandAndWales()
+country_metadata = ew_census.create_country_metadata()
+data_publisher = ew_census.create_data_publisher()
+geometry = ew_census.create_geometry()
+source_data_releases = ew_census.create_source_data_releases()
+catalog = ew_census.create_catalog()
+census_tables = ew_census.create_census_tables()
+source_metric_metadata = ew_census.create_source_metric_metadata()
+derived_metrics = ew_census.create_derived_metrics()
+metrics = ew_census.create_metrics()
diff --git a/python/popgetter/assets/uk/uk_os_opendata.py b/python/popgetter/assets/uk/uk_os_opendata.py_ignore
similarity index 100%
rename from python/popgetter/assets/uk/uk_os_opendata.py
rename to python/popgetter/assets/uk/uk_os_opendata.py_ignore


Test patch:
diff --git a/tests/demo_data/gbr_ew_census2021-ts009-ltla.csv b/tests/demo_data/gbr_ew_census2021-ts009-ltla.csv
new file mode 100644
index 0000000..18e5bb5
--- /dev/null
+++ b/tests/demo_data/gbr_ew_census2021-ts009-ltla.csv
@@ -0,0 +1,332 @@
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Age: Aged 13 years; measures: Value","Sex: All persons; Age: Aged 14 years; measures: Value","Sex: All persons; Age: Aged 15 years; measures: Value","Sex: All persons; Age: Aged 16 to 19 years; measures: Value","Sex: All persons; Age: Aged 16 years; measures: Value","Sex: All persons; Age: Aged 17 years; measures: Value","Sex: All persons; Age: Aged 18 years; measures: Value","Sex: All persons; Age: Aged 19 years; measures: Value","Sex: All persons; Age: Aged 20 to 24 years; measures: Value","Sex: All persons; Age: Aged 20 years; measures: Value","Sex: All persons; Age: Aged 21 years; measures: Value","Sex: All persons; Age: Aged 22 years; measures: Value","Sex: All persons; Age: Aged 23 years; measures: Value","Sex: All persons; Age: Aged 24 years; measures: Value","Sex: All persons; Age: Aged 25 to 34 years; measures: Value","Sex: All persons; Age: Aged 25 years; measures: Value","Sex: All persons; Age: Aged 26 years; measures: Value","Sex: All persons; Age: Aged 27 years; measures: Value","Sex: All persons; 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Age: Aged 45 years; measures: Value","Sex: All persons; Age: Aged 46 years; measures: Value","Sex: All persons; Age: Aged 47 years; measures: Value","Sex: All persons; Age: Aged 48 years; measures: Value","Sex: All persons; Age: Aged 49 years; measures: Value","Sex: All persons; Age: Aged 50 to 64 years; measures: Value","Sex: All persons; Age: Aged 50 years; measures: Value","Sex: All persons; Age: Aged 51 years; measures: Value","Sex: All persons; Age: Aged 52 years; measures: Value","Sex: All persons; Age: Aged 53 years; measures: Value","Sex: All persons; Age: Aged 54 years; measures: Value","Sex: All persons; Age: Aged 55 years; measures: Value","Sex: All persons; Age: Aged 56 years; measures: Value","Sex: All persons; Age: Aged 57 years; measures: Value","Sex: All persons; Age: Aged 58 years; measures: Value","Sex: All persons; Age: Aged 59 years; measures: Value","Sex: All persons; Age: Aged 60 years; measures: Value","Sex: All persons; Age: Aged 61 years; measures: Value","Sex: All persons; Age: Aged 62 years; measures: Value","Sex: All persons; Age: Aged 63 years; measures: Value","Sex: All persons; Age: Aged 64 years; measures: Value","Sex: All persons; Age: Aged 65 to 74 years; measures: Value","Sex: All persons; Age: Aged 65 years; measures: Value","Sex: All persons; Age: Aged 66 years; measures: Value","Sex: All persons; Age: Aged 67 years; measures: Value","Sex: All persons; Age: Aged 68 years; measures: Value","Sex: All persons; Age: Aged 69 years; measures: Value","Sex: All persons; Age: Aged 70 years; measures: Value","Sex: All persons; Age: Aged 71 years; measures: Value","Sex: All persons; Age: Aged 72 years; measures: Value","Sex: All persons; Age: Aged 73 years; measures: Value","Sex: All persons; Age: Aged 74 years; measures: Value","Sex: All persons; Age: Aged 75 to 84 years; measures: Value","Sex: All persons; Age: Aged 75 years; measures: Value","Sex: All persons; Age: Aged 76 years; measures: Value","Sex: All persons; Age: Aged 77 years; measures: Value","Sex: All persons; Age: Aged 78 years; measures: Value","Sex: All persons; Age: Aged 79 years; measures: Value","Sex: All persons; Age: Aged 80 years; measures: Value","Sex: All persons; Age: Aged 81 years; measures: Value","Sex: All persons; Age: Aged 82 years; measures: Value","Sex: All persons; Age: Aged 83 years; measures: Value","Sex: All persons; Age: Aged 84 years; measures: Value","Sex: All persons; Age: Aged 85 years and over; measures: Value","Sex: All persons; Age: Aged 85 years; measures: Value","Sex: All persons; Age: Aged 86 years; measures: Value","Sex: All persons; Age: Aged 87 years; measures: Value","Sex: All persons; Age: Aged 88 years; measures: Value","Sex: All persons; Age: Aged 89 years; measures: Value","Sex: All persons; Age: Aged 90 years and over; measures: Value","Sex: Female; Age: Total; measures: Value","Sex: Female; Age: Aged 4 years and under; measures: Value","Sex: Female; Age: Aged under 1 year; measures: Value","Sex: Female; Age: Aged 1 year; measures: Value","Sex: Female; 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Age: Aged 19 years; measures: Value","Sex: Female; Age: Aged 20 to 24 years; measures: Value","Sex: Female; Age: Aged 20 years; measures: Value","Sex: Female; Age: Aged 21 years; measures: Value","Sex: Female; Age: Aged 22 years; measures: Value","Sex: Female; Age: Aged 23 years; measures: Value","Sex: Female; Age: Aged 24 years; measures: Value","Sex: Female; Age: Aged 25 to 34 years; measures: Value","Sex: Female; Age: Aged 25 years; measures: Value","Sex: Female; Age: Aged 26 years; measures: Value","Sex: Female; Age: Aged 27 years; measures: Value","Sex: Female; Age: Aged 28 years; measures: Value","Sex: Female; Age: Aged 29 years; measures: Value","Sex: Female; Age: Aged 30 years; measures: Value","Sex: Female; Age: Aged 31 years; measures: Value","Sex: Female; Age: Aged 32 years; measures: Value","Sex: Female; Age: Aged 33 years; measures: Value","Sex: Female; Age: Aged 34 years; measures: Value","Sex: Female; Age: Aged 35 to 49 years; measures: Value","Sex: Female; Age: Aged 35 years; measures: Value","Sex: Female; Age: Aged 36 years; measures: Value","Sex: Female; Age: Aged 37 years; measures: Value","Sex: Female; Age: Aged 38 years; measures: Value","Sex: Female; Age: Aged 39 years; measures: Value","Sex: Female; Age: Aged 40 years; measures: Value","Sex: Female; Age: Aged 41 years; measures: Value","Sex: Female; Age: Aged 42 years; measures: Value","Sex: Female; Age: Aged 43 years; measures: Value","Sex: Female; Age: Aged 44 years; measures: Value","Sex: Female; Age: Aged 45 years; measures: Value","Sex: Female; Age: Aged 46 years; measures: Value","Sex: Female; Age: Aged 47 years; measures: Value","Sex: Female; Age: Aged 48 years; measures: Value","Sex: Female; Age: Aged 49 years; measures: Value","Sex: Female; Age: Aged 50 to 64 years; measures: Value","Sex: Female; Age: Aged 50 years; measures: Value","Sex: Female; Age: Aged 51 years; measures: Value","Sex: Female; Age: Aged 52 years; measures: Value","Sex: Female; Age: Aged 53 years; measures: Value","Sex: Female; Age: Aged 54 years; measures: Value","Sex: Female; Age: Aged 55 years; measures: Value","Sex: Female; Age: Aged 56 years; measures: Value","Sex: Female; Age: Aged 57 years; measures: Value","Sex: Female; Age: Aged 58 years; measures: Value","Sex: Female; Age: Aged 59 years; measures: Value","Sex: Female; Age: Aged 60 years; measures: Value","Sex: Female; Age: Aged 61 years; measures: Value","Sex: Female; Age: Aged 62 years; measures: Value","Sex: Female; Age: Aged 63 years; measures: Value","Sex: Female; Age: Aged 64 years; measures: Value","Sex: Female; Age: Aged 65 to 74 years; measures: Value","Sex: Female; Age: Aged 65 years; measures: Value","Sex: Female; Age: Aged 66 years; measures: Value","Sex: Female; Age: Aged 67 years; measures: Value","Sex: Female; Age: Aged 68 years; measures: Value","Sex: Female; Age: Aged 69 years; measures: Value","Sex: Female; Age: Aged 70 years; measures: Value","Sex: Female; Age: Aged 71 years; measures: Value","Sex: Female; Age: Aged 72 years; measures: Value","Sex: Female; Age: Aged 73 years; measures: Value","Sex: Female; Age: Aged 74 years; measures: Value","Sex: Female; Age: Aged 75 to 84 years; measures: Value","Sex: Female; Age: Aged 75 years; measures: Value","Sex: Female; Age: Aged 76 years; measures: Value","Sex: Female; Age: Aged 77 years; measures: Value","Sex: Female; Age: Aged 78 years; measures: Value","Sex: Female; Age: Aged 79 years; measures: Value","Sex: Female; Age: Aged 80 years; measures: Value","Sex: Female; Age: Aged 81 years; measures: Value","Sex: Female; Age: Aged 82 years; measures: Value","Sex: Female; Age: Aged 83 years; measures: Value","Sex: Female; Age: Aged 84 years; measures: Value","Sex: Female; Age: Aged 85 years and over; measures: Value","Sex: Female; Age: Aged 85 years; measures: Value","Sex: Female; Age: Aged 86 years; measures: Value","Sex: Female; Age: Aged 87 years; measures: Value","Sex: Female; Age: Aged 88 years; measures: Value","Sex: Female; Age: Aged 89 years; measures: Value","Sex: Female; Age: Aged 90 years and over; 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Age: Aged 16 to 19 years; measures: Value","Sex: Male; Age: Aged 16 years; measures: Value","Sex: Male; Age: Aged 17 years; measures: Value","Sex: Male; Age: Aged 18 years; measures: Value","Sex: Male; Age: Aged 19 years; measures: Value","Sex: Male; Age: Aged 20 to 24 years; measures: Value","Sex: Male; Age: Aged 20 years; measures: Value","Sex: Male; Age: Aged 21 years; measures: Value","Sex: Male; Age: Aged 22 years; measures: Value","Sex: Male; Age: Aged 23 years; measures: Value","Sex: Male; Age: Aged 24 years; measures: Value","Sex: Male; Age: Aged 25 to 34 years; measures: Value","Sex: Male; Age: Aged 25 years; measures: Value","Sex: Male; Age: Aged 26 years; measures: Value","Sex: Male; Age: Aged 27 years; measures: Value","Sex: Male; Age: Aged 28 years; measures: Value","Sex: Male; Age: Aged 29 years; measures: Value","Sex: Male; Age: Aged 30 years; measures: Value","Sex: Male; Age: Aged 31 years; measures: Value","Sex: Male; Age: Aged 32 years; measures: Value","Sex: Male; Age: Aged 33 years; measures: Value","Sex: Male; Age: Aged 34 years; measures: Value","Sex: Male; Age: Aged 35 to 49 years; measures: Value","Sex: Male; Age: Aged 35 years; measures: Value","Sex: Male; Age: Aged 36 years; measures: Value","Sex: Male; Age: Aged 37 years; measures: Value","Sex: Male; Age: Aged 38 years; measures: Value","Sex: Male; Age: Aged 39 years; measures: Value","Sex: Male; Age: Aged 40 years; measures: Value","Sex: Male; Age: Aged 41 years; measures: Value","Sex: Male; Age: Aged 42 years; measures: Value","Sex: Male; Age: Aged 43 years; measures: Value","Sex: Male; Age: Aged 44 years; measures: Value","Sex: Male; Age: Aged 45 years; measures: Value","Sex: Male; Age: Aged 46 years; measures: Value","Sex: Male; Age: Aged 47 years; measures: Value","Sex: Male; Age: Aged 48 years; measures: Value","Sex: Male; Age: Aged 49 years; measures: Value","Sex: Male; Age: Aged 50 to 64 years; measures: Value","Sex: Male; Age: Aged 50 years; measures: Value","Sex: Male; Age: Aged 51 years; measures: Value","Sex: Male; Age: Aged 52 years; measures: Value","Sex: Male; Age: Aged 53 years; measures: Value","Sex: Male; Age: Aged 54 years; measures: Value","Sex: Male; Age: Aged 55 years; measures: Value","Sex: Male; Age: Aged 56 years; measures: Value","Sex: Male; Age: Aged 57 years; measures: Value","Sex: Male; Age: Aged 58 years; measures: Value","Sex: Male; Age: Aged 59 years; measures: Value","Sex: Male; Age: Aged 60 years; measures: Value","Sex: Male; Age: Aged 61 years; measures: Value","Sex: Male; Age: Aged 62 years; measures: Value","Sex: Male; Age: Aged 63 years; measures: Value","Sex: Male; Age: Aged 64 years; measures: Value","Sex: Male; Age: Aged 65 to 74 years; measures: Value","Sex: Male; Age: Aged 65 years; measures: Value","Sex: Male; Age: Aged 66 years; measures: Value","Sex: Male; Age: Aged 67 years; measures: Value","Sex: Male; Age: Aged 68 years; measures: Value","Sex: Male; Age: Aged 69 years; measures: Value","Sex: Male; Age: Aged 70 years; measures: Value","Sex: Male; Age: Aged 71 years; measures: Value","Sex: Male; Age: Aged 72 years; measures: Value","Sex: Male; Age: Aged 73 years; measures: Value","Sex: Male; Age: Aged 74 years; measures: Value","Sex: Male; Age: Aged 75 to 84 years; measures: Value","Sex: Male; Age: Aged 75 years; measures: Value","Sex: Male; Age: Aged 76 years; measures: Value","Sex: Male; Age: Aged 77 years; measures: Value","Sex: Male; Age: Aged 78 years; measures: Value","Sex: Male; Age: Aged 79 years; measures: Value","Sex: Male; Age: Aged 80 years; measures: Value","Sex: Male; Age: Aged 81 years; measures: Value","Sex: Male; Age: Aged 82 years; measures: Value","Sex: Male; Age: Aged 83 years; measures: Value","Sex: Male; Age: Aged 84 years; measures: Value","Sex: Male; Age: Aged 85 years and over; measures: Value","Sex: Male; Age: Aged 85 years; measures: Value","Sex: Male; Age: Aged 86 years; measures: Value","Sex: Male; Age: Aged 87 years; measures: Value","Sex: Male; Age: Aged 88 years; measures: Value","Sex: Male; Age: Aged 89 years; measures: Value","Sex: Male; Age: Aged 90 years and over; measures: Value"
+"2021","Hartlepool","E06000001",92347,4981,918,954,1046,986,1077,5582,1109,1032,1097,1172,1172,7089,1168,1238,1188,1190,1137,1168,4012,1091,1085,927,909,5112,982,1014,1065,999,1052,11382,1064,1077,1114,1106,1135,1195,1129,1177,1185,1200,15946,1106,1139,1080,1057,1081,1071,1110,999,948,937,1020,944,1058,1141,1255,20007,1309,1253,1308,1351,1357,1436,1450,1433,1411,1402,1384,1266,1277,1186,1184,10331,1120,1053,1010,1043,1020,957,1030,1017,1067,1014,5685,762,719,616,566,558,503,515,496,509,441,2220,378,341,288,269,216,728,47656,2411,449,458,510,476,518,2737,551,505,528,561,592,3441,564,596,579,568,563,571,1952,554,542,425,431,2622,495,514,563,535,515,6039,554,548,601,579,606,629,617,612,646,647,8252,574,600,560,565,583,555,581,499,501,502,501,492,560,546,633,10296,680,664,698,705,709,759,719,753,730,740,691,633,650,590,575,5307,572,542,489,561,507,491,534,545,543,523,3191,371,372,341,345,322,274,302,281,310,273,1408,209,219,166,168,135,511,44691,2570,469,496,536,510,559,2845,558,527,569,611,580,3648,604,642,609,622,574,597,2060,537,543,502,478,2490,487,500,502,464,537,5343,510,529,513,527,529,566,512,565,539,553,7694,532,539,520,492,498,516,529,500,447,435,519,452,498,595,622,9711,629,589,610,646,648,677,731,680,681,662,693,633,627,596,609,5024,548,511,521,482,513,466,496,472,524,491,2494,391,347,275,221,236,229,213,215,199,168,812,169,122,122,101,81,217
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+"2021","Redcar and Cleveland","E06000003",136538,6815,1176,1347,1354,1429,1509,7873,1460,1503,1513,1657,1740,9501,1601,1596,1562,1599,1635,1508,5616,1553,1513,1290,1260,6577,1158,1281,1366,1321,1451,15367,1459,1417,1451,1500,1634,1634,1556,1545,1593,1578,22806,1581,1579,1496,1460,1488,1616,1548,1432,1346,1309,1452,1447,1563,1697,1792,30232,1927,1924,1981,1987,2195,2170,2068,2185,2108,2124,1956,1926,1976,1913,1792,17172,1762,1654,1751,1657,1673,1598,1677,1745,1831,1824,10819,1422,1465,1245,1144,1068,997,977,935,830,736,3760,657,556,488,409,343,1307,70448,3383,566,691,674,716,736,3816,712,725,756,806,817,4628,797,762,768,770,797,734,2643,719,731,604,589,3305,581,623,675,697,729,8071,712,755,729,790,866,868,833,825,839,854,11923,870,839,786,753,803,860,800,778,683,676,722,739,788,892,934,15540,995,1002,1017,1056,1121,1123,1088,1091,1096,1098,967,1002,1022,961,901,8981,901,826,925,886,854,852,897,920,955,965,5844,771,745,662,583,591,515,572,511,472,422,2314,376,327,277,257,213,864,66090,3432,610,656,680,713,773,4057,748,778,757,851,923,4873,804,834,794,829,838,774,2973,834,782,686,671,3272,577,658,691,624,722,7296,747,662,722,710,768,766,723,720,754,724,10883,711,740,710,707,685,756,748,654,663,633,730,708,775,805,858,14692,932,922,964,931,1074,1047,980,1094,1012,1026,989,924,954,952,891,8191,861,828,826,771,819,746,780,825,876,859,4975,651,720,583,561,477,482,405,424,358,314,1446,281,229,211,152,130,443
+"2021","Stockton-on-Tees","E06000004",196587,10733,1916,2078,2150,2178,2411,12429,2344,2314,2459,2722,2590,15419,2688,2583,2674,2547,2525,2402,8215,2321,2359,1899,1636,9688,1700,1813,1883,1999,2293,25053,2139,2212,2477,2499,2591,2639,2513,2608,2695,2680,37193,2702,2679,2612,2595,2464,2688,2518,2515,2168,2077,2273,2307,2441,2392,2762,40674,2784,2719,2773,2797,2859,2783,2754,2863,2851,2757,2670,2571,2560,2438,2495,21045,2319,2140,2193,2102,2038,2028,1938,2055,2189,2043,11826,1482,1589,1355,1216,1230,1103,1037,1050,928,836,4312,753,610,535,509,460,1445,100070,5304,983,1046,1019,1073,1183,6008,1153,1109,1168,1307,1271,7593,1267,1259,1353,1249,1285,1180,3951,1136,1166,919,730,4753,831,826,916,976,1204,12845,1118,1076,1283,1220,1371,1350,1278,1324,1452,1373,18829,1313,1435,1303,1385,1213,1371,1278,1204,1098,1085,1176,1161,1243,1173,1391,20782,1405,1385,1382,1384,1450,1414,1402,1527,1464,1448,1354,1347,1310,1279,1231,10842,1159,1126,1104,1059,1070,1055,975,1036,1190,1068,6437,795,786,736,670,664,603,619,593,511,460,2726,441,374,350,314,290,957,96517,5429,933,1032,1131,1105,1228,6421,1191,1205,1291,1415,1319,7826,1421,1324,1321,1298,1240,1222,4264,1185,1193,980,906,4935,869,987,967,1023,1089,12208,1021,1136,1194,1279,1220,1289,1235,1284,1243,1307,18364,1389,1244,1309,1210,1251,1317,1240,1311,1070,992,1097,1146,1198,1219,1371,19892,1379,1334,1391,1413,1409,1369,1352,1336,1387,1309,1316,1224,1250,1159,1264,10203,1160,1014,1089,1043,968,973,963,1019,999,975,5389,687,803,619,546,566,500,418,457,417,376,1586,312,236,185,195,170,488
+"2021","Darlington","E06000005",107806,5493,1040,1047,1109,1167,1130,6329,1220,1229,1257,1305,1318,7869,1345,1340,1350,1306,1285,1243,4542,1303,1238,1150,851,5426,815,1037,1123,1198,1253,13346,1228,1202,1309,1284,1355,1482,1363,1367,1382,1374,20125,1362,1294,1330,1290,1287,1358,1400,1409,1252,1225,1256,1312,1397,1416,1537,22633,1578,1527,1514,1522,1629,1595,1621,1547,1588,1507,1530,1356,1439,1415,1265,11939,1285,1126,1224,1169,1155,1121,1145,1205,1285,1224,7272,942,995,824,716,672,679,658,678,587,521,2832,460,425,362,313,279,993,55137,2731,526,542,524,581,558,3048,569,603,587,631,658,3877,650,669,615,685,639,619,2135,619,581,542,393,2773,405,519,609,600,640,6892,637,612,657,663,700,779,704,717,700,723,10295,688,662,693,657,696,679,725,690,624,602,662,654,744,740,779,11523,817,766,754,780,820,798,812,811,781,768,774,679,746,750,667,6143,627,561,614,579,613,602,598,592,681,676,3958,505,521,438,374,356,366,367,377,343,311,1762,266,251,216,194,163,672,52669,2762,514,505,585,586,572,3281,651,626,670,674,660,3992,695,671,735,621,646,624,2407,684,657,608,458,2653,410,518,514,598,613,6454,591,590,652,621,655,703,659,650,682,651,9830,674,632,637,633,591,679,675,719,628,623,594,658,653,676,758,11110,761,761,760,742,809,797,809,736,807,739,756,677,693,665,598,5796,658,565,610,590,542,519,547,613,604,548,3314,437,474,386,342,316,313,291,301,244,210,1070,194,174,146,119,116,321
+"2021","County Durham","E06000047",522069,24752,4623,4809,4969,4990,5361,28357,5534,5468,5650,5763,5942,35001,5934,5922,5714,6064,5867,5500,25733,5631,5319,6563,8220,33055,7548,7225,6712,5827,5743,59885,5622,5648,5717,6109,6110,6346,6021,6046,6130,6136,91436,6267,6048,6037,6089,6179,6246,6158,5958,5464,5359,5691,5783,6101,6849,7207,112515,7506,7271,7668,7600,7889,8110,8002,7997,7652,7695,7306,6980,7188,7011,6640,61755,6509,6290,6160,6109,5972,5928,6037,5992,6386,6372,36789,4814,5110,4433,3923,3452,3310,3185,3081,2820,2661,12791,2256,1977,1696,1447,1173,4242,266762,11995,2162,2365,2325,2513,2630,13773,2677,2774,2713,2741,2868,17128,2874,2920,2836,2955,2814,2729,12611,2752,2563,3306,3990,16416,3792,3534,3283,2850,2957,31036,2821,2910,2943,3161,3173,3271,3182,3223,3194,3158,47040,3283,3116,3047,3137,3184,3261,3184,3045,2751,2821,2885,2967,3141,3496,3722,57311,3854,3665,3965,3817,4080,4086,4032,4119,3858,3885,3724,3582,3699,3602,3343,31587,3297,3158,3104,3108,3006,3043,3127,3113,3350,3281,19804,2496,2670,2319,2124,1835,1854,1681,1702,1597,1526,8061,1372,1199,1008,880,745,2857,255307,12757,2461,2444,2644,2477,2731,14584,2857,2694,2937,3022,3074,17873,3060,3002,2878,3109,3053,2771,13122,2879,2756,3257,4230,16639,3756,3691,3429,2977,2786,28849,2801,2738,2774,2948,2937,3075,2839,2823,2936,2978,44396,2984,2932,2990,2952,2995,2985,2974,2913,2713,2538,2806,2816,2960,3353,3485,55204,3652,3606,3703,3783,3809,4024,3970,3878,3794,3810,3582,3398,3489,3409,3297,30168,3212,3132,3056,3001,2966,2885,2910,2879,3036,3091,16985,2318,2440,2114,1799,1617,1456,1504,1379,1223,1135,4730,884,778,688,567,428,1385
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+"2021","Newcastle upon Tyne","E08000021",300135,15650,2972,3061,3128,3231,3258,16704,3390,3213,3346,3355,3400,19320,3472,3301,3293,3258,3080,2916,20439,2941,2971,5306,9221,36645,9323,8751,7112,5950,5509,44638,4947,4895,4626,4495,4429,4313,4333,4062,4429,4109,52598,4080,4051,3793,3897,3773,3721,3660,3388,3142,3033,3224,3280,3021,3170,3365,49621,3488,3232,3303,3368,3373,3466,3581,3487,3398,3428,3160,3261,3142,2998,2936,24463,2686,2599,2582,2459,2349,2241,2335,2297,2436,2479,13838,1733,1813,1594,1454,1269,1236,1347,1238,1134,1020,6219,1027,857,796,678,616,2245,151804,7618,1391,1550,1527,1592,1558,8133,1684,1546,1667,1625,1611,9364,1673,1595,1595,1619,1462,1420,10607,1467,1529,2730,4881,18115,4809,4306,3400,2857,2743,22399,2482,2322,2307,2237,2221,2179,2147,2071,2299,2134,26202,1985,2065,1893,1953,1886,1904,1816,1645,1580,1459,1639,1659,1558,1496,1664,25030,1703,1596,1680,1789,1661,1766,1716,1758,1760,1735,1604,1684,1642,1428,1508,12614,1405,1289,1317,1257,1237,1182,1175,1185,1259,1308,7771,889,989,855,790,680,732,770,721,720,625,3951,599,506,476,429,384,1557,148331,8032,1581,1511,1601,1639,1700,8571,1706,1667,1679,1730,1789,9956,1799,1706,1698,1639,1618,1496,9832,1474,1442,2576,4340,18530,4514,4445,3712,3093,2766,22239,2465,2573,2319,2258,2208,2134,2186,1991,2130,1975,26396,2095,1986,1900,1944,1887,1817,1844,1743,1562,1574,1585,1621,1463,1674,1701,24591,1785,1636,1623,1579,1712,1700,1865,1729,1638,1693,1556,1577,1500,1570,1428,11849,1281,1310,1265,1202,1112,1059,1160,1112,1177,1171,6067,844,824,739,664,589,504,577,517,414,395,2268,428,351,320,249,232,688
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+"2021","Blackburn with Darwen","E06000008",154739,10056,1925,2014,2084,1943,2090,11163,2212,2194,2132,2283,2342,14016,2342,2363,2329,2407,2295,2280,8578,2273,2289,2110,1906,9453,1797,1746,1945,1956,2009,20706,1939,1981,2040,1990,2113,2123,2074,2137,2189,2120,30703,2185,2175,2157,2128,2147,2232,2070,1987,1949,1784,1869,1967,1933,2042,2078,27664,2046,2051,2135,2084,1984,1880,1925,1860,1877,1818,1752,1661,1575,1489,1527,12881,1442,1366,1249,1386,1235,1192,1218,1241,1286,1266,6932,907,874,821,813,669,606,618,626,534,464,2587,427,378,337,281,258,906,78037,5044,981,1002,1049,993,1019,5466,1075,1099,1040,1088,1164,6939,1137,1162,1145,1201,1183,1111,4122,1103,1087,1009,923,4665,870,832,965,970,1028,10601,956,976,1032,1023,1076,1070,1063,1103,1175,1127,15577,1140,1127,1168,1088,1103,1168,1071,977,929,847,919,991,965,1024,1060,13738,1028,1029,1043,1026,990,927,949,922,952,909,888,803,768,739,765,6506,698,698,637,700,613,605,623,647,630,655,3744,478,472,434,428,354,315,345,354,292,272,1635,231,226,209,163,168,638,76702,5012,944,1012,1035,950,1071,5697,1137,1095,1092,1195,1178,7077,1205,1201,1184,1206,1112,1169,4456,1170,1202,1101,983,4788,927,914,980,986,981,10105,983,1005,1008,967,1037,1053,1011,1034,1014,993,15126,1045,1048,989,1040,1044,1064,999,1010,1020,937,950,976,968,1018,1018,13926,1018,1022,1092,1058,994,953,976,938,925,909,864,858,807,750,762,6375,744,668,612,686,622,587,595,594,656,611,3188,429,402,387,385,315,291,273,272,242,192,952,196,152,128,118,90,268
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+"2021","Cheshire East","E06000049",398775,19930,3648,3850,3942,4275,4215,22095,4385,4122,4346,4637,4605,27273,4629,4564,4685,4523,4480,4392,15308,4574,4371,3618,2745,17619,2743,3186,3731,3856,4103,46086,4014,4399,4360,4462,4508,5027,4817,4766,4968,4765,74837,5015,5029,4770,4880,4840,4897,5091,4705,4542,4638,4791,5147,5139,5508,5845,86396,5882,5914,6148,6362,5973,6203,6241,6063,6039,5925,5611,5334,5091,4899,4711,46688,4455,4540,4552,4375,4413,4612,4547,4757,5293,5144,30479,3764,4207,3799,3364,2901,2699,2692,2567,2363,2123,12064,1993,1713,1410,1317,1148,4483,203196,9655,1714,1836,2008,2051,2046,10728,2042,2095,2099,2244,2248,13141,2220,2177,2252,2162,2225,2105,7510,2227,2236,1733,1314,8744,1281,1593,1799,1973,2098,23275,1953,2291,2186,2207,2274,2563,2413,2491,2512,2385,38116,2526,2611,2463,2513,2417,2456,2624,2374,2228,2378,2517,2595,2646,2808,2960,43888,3003,3051,3127,3249,3081,3150,3164,3080,3078,2986,2816,2697,2553,2449,2404,24132,2218,2291,2330,2239,2274,2458,2320,2504,2849,2649,16569,1976,2192,2027,1810,1597,1470,1504,1432,1336,1225,7438,1174,988,839,788,704,2945,195579,10275,1934,2014,1934,2224,2169,11367,2343,2027,2247,2393,2357,14132,2409,2387,2433,2361,2255,2287,7798,2347,2135,1885,1431,8875,1462,1593,1932,1883,2005,22811,2061,2108,2174,2255,2234,2464,2404,2275,2456,2380,36721,2489,2418,2307,2367,2423,2441,2467,2331,2314,2260,2274,2552,2493,2700,2885,42508,2879,2863,3021,3113,2892,3053,3077,2983,2961,2939,2795,2637,2538,2450,2307,22556,2237,2249,2222,2136,2139,2154,2227,2253,2444,2495,13910,1788,2015,1772,1554,1304,1229,1188,1135,1027,898,4626,819,725,571,529,444,1538
+"2021","Cheshire West and Chester","E06000050",357147,17615,3280,3435,3502,3625,3773,19846,3865,3781,3983,4065,4152,24328,4138,4089,4041,4090,3997,3973,14755,3883,3853,3567,3452,19681,3500,3835,3988,4111,4247,43702,3913,4172,4298,4266,4587,4626,4512,4434,4583,4311,66147,4488,4547,4421,4402,4493,4411,4409,4295,3868,3879,4166,4252,4555,4835,5126,75323,5185,5212,5217,5228,5203,5498,5306,5358,5328,5082,4895,4531,4535,4441,4304,40379,4108,3892,4086,3931,3807,3911,3900,4024,4448,4272,25643,3255,3498,3052,2791,2386,2370,2356,2118,2003,1814,9728,1562,1417,1166,1091,949,3543,182841,8635,1685,1680,1678,1753,1839,9642,1909,1837,1902,1942,2052,11755,2033,1983,1921,1980,1882,1956,7354,1934,1853,1808,1759,10183,1787,1992,2100,2114,2190,22121,1965,2050,2129,2190,2304,2328,2207,2261,2403,2284,33901,2266,2260,2279,2294,2274,2276,2244,2195,2019,1994,2105,2262,2377,2401,2655,38441,2628,2635,2685,2612,2727,2887,2718,2668,2642,2627,2488,2307,2320,2273,2224,20811,2094,1951,2009,2010,1972,2037,2054,2088,2360,2236,13876,1702,1841,1570,1482,1292,1291,1322,1130,1176,1070,6122,931,850,707,682,590,2362,174306,8980,1595,1755,1824,1872,1934,10204,1956,1944,2081,2123,2100,12573,2105,2106,2120,2110,2115,2017,7401,1949,2000,1759,1693,9498,1713,1843,1888,1997,2057,21581,1948,2122,2169,2076,2283,2298,2305,2173,2180,2027,32246,2222,2287,2142,2108,2219,2135,2165,2100,1849,1885,2061,1990,2178,2434,2471,36882,2557,2577,2532,2616,2476,2611,2588,2690,2686,2455,2407,2224,2215,2168,2080,19568,2014,1941,2077,1921,1835,1874,1846,1936,2088,2036,11767,1553,1657,1482,1309,1094,1079,1034,988,827,744,3606,631,567,459,409,359,1181
+"2021","Allerdale","E07000026",96145,4341,841,821,834,910,935,4883,951,952,955,1003,1022,6415,1107,1089,1100,1075,1063,981,3622,1024,972,854,772,4386,708,847,936,921,974,10324,918,1038,1020,1052,1114,1139,1034,1039,1009,961,16048,1091,1031,1027,1021,1034,1092,1068,954,957,950,986,1045,1155,1288,1349,22315,1513,1430,1483,1533,1661,1500,1564,1525,1529,1485,1470,1434,1465,1399,1324,12998,1278,1214,1280,1299,1228,1279,1299,1347,1438,1336,7791,981,1011,922,857,761,702,716,653,619,569,3022,501,423,363,358,314,1063,49061,2125,421,415,390,447,452,2473,469,476,500,495,533,3116,554,523,511,535,525,468,1718,487,456,420,355,2154,341,421,454,450,488,5192,484,510,505,503,555,561,523,547,514,490,8300,558,545,528,524,536,564,545,473,473,488,543,527,606,660,730,11317,768,757,746,807,824,739,778,751,802,755,734,721,745,708,682,6674,657,605,681,679,609,666,686,669,756,666,4103,486,519,500,441,404,338,376,372,357,310,1889,285,241,213,220,182,748,47084,2216,420,406,444,463,483,2410,482,476,455,508,489,3299,553,566,589,540,538,513,1904,537,516,434,417,2232,367,426,482,471,486,5132,434,528,515,549,559,578,511,492,495,471,7748,533,486,499,497,498,528,523,481,484,462,443,518,549,628,619,10998,745,673,737,726,837,761,786,774,727,730,736,713,720,691,642,6324,621,609,599,620,619,613,613,678,682,670,3688,495,492,422,416,357,364,340,281,262,259,1133,216,182,150,138,132,315
+"2021","Barrow-in-Furness","E07000027",67402,3485,634,685,723,679,764,3674,776,692,743,726,737,4415,690,734,755,744,755,737,2770,728,735,635,672,3662,672,682,767,759,782,8824,839,843,972,892,900,880,852,927,884,835,11528,850,776,824,806,747,741,695,703,690,674,713,739,786,843,941,14496,998,953,970,1030,1063,1040,1070,1023,1010,933,938,950,869,857,792,7884,786,744,781,766,747,750,754,791,899,866,5030,660,636,572,603,487,509,429,419,385,330,1634,294,247,195,184,147,567,33981,1655,272,335,329,338,381,1821,404,328,368,347,374,2126,328,351,346,383,379,339,1334,344,366,323,301,1751,323,359,337,366,366,4365,427,398,482,460,441,429,417,461,428,422,5856,449,381,401,388,393,383,325,353,352,357,356,373,416,442,487,7250,515,505,492,507,534,525,551,499,488,440,442,472,467,401,412,4052,409,387,402,380,388,390,401,399,469,427,2730,363,332,303,311,265,287,224,225,224,196,1041,170,167,114,114,89,387,33421,1830,362,350,394,341,383,1853,372,364,375,379,363,2289,362,383,409,361,376,398,1436,384,369,312,371,1911,349,323,430,393,416,4459,412,445,490,432,459,451,435,466,456,413,5672,401,395,423,418,354,358,370,350,338,317,357,366,370,401,454,7246,483,448,478,523,529,515,519,524,522,493,496,478,402,456,380,3832,377,357,379,386,359,360,353,392,430,439,2300,297,304,269,292,222,222,205,194,161,134,593,124,80,81,70,58,180
+"2021","Carlisle","E07000028",110017,5377,995,1095,1075,1063,1149,6100,1184,1245,1177,1179,1315,7207,1231,1288,1178,1206,1137,1167,4436,1187,1170,1106,973,5803,1083,1024,1173,1226,1297,13736,1268,1283,1398,1370,1526,1407,1395,1366,1379,1344,19751,1357,1398,1373,1381,1322,1304,1268,1202,1188,1187,1155,1288,1339,1470,1519,23733,1559,1520,1621,1576,1539,1665,1650,1696,1645,1611,1641,1565,1592,1487,1366,12999,1254,1329,1320,1314,1251,1273,1303,1289,1307,1359,7766,978,942,933,872,775,731,688,636,628,583,3109,542,427,413,381,308,1038,56138,2619,509,515,542,490,563,2980,578,616,581,576,629,3517,609,618,566,581,574,569,2195,575,557,562,501,2979,571,515,597,648,648,7013,648,641,694,721,797,728,726,697,687,674,9939,674,696,701,723,651,648,659,596,600,627,586,629,684,730,735,12006,784,777,821,819,769,853,822,861,812,838,806,776,793,762,713,6649,628,676,657,681,661,622,677,660,692,695,4248,519,497,492,452,428,417,369,353,358,363,1993,314,269,255,229,188,738,53879,2758,486,580,533,573,586,3120,606,629,596,603,686,3690,622,670,612,625,563,598,2241,612,613,544,472,2824,512,509,576,578,649,6723,620,642,704,649,729,679,669,669,692,670,9812,683,702,672,658,671,656,609,606,588,560,569,659,655,740,784,11727,775,743,800,757,770,812,828,835,833,773,835,789,799,725,653,6350,626,653,663,633,590,651,626,629,615,664,3518,459,445,441,420,347,314,319,283,270,220,1116,228,158,158,152,120,300
+"2021","Copeland","E07000029",67078,3135,599,565,604,655,712,3613,673,673,721,750,796,4324,748,734,710,709,704,719,2514,678,684,632,520,3188,521,587,656,700,724,7716,717,749,765,787,806,766,773,804,788,761,11311,758,752,707,805,750,745,722,688,650,662,745,726,836,827,938,15752,940,998,1008,987,1102,1139,1173,1114,1139,1083,1041,1029,1027,987,985,8681,937,887,863,795,826,877,836,864,923,873,5111,589,717,591,544,556,446,487,409,399,373,1733,300,271,222,187,185,568,33635,1539,288,289,285,327,350,1748,338,325,363,343,379,2072,370,363,335,347,320,337,1197,329,341,281,246,1527,237,265,323,346,356,3878,335,363,353,385,405,427,406,397,405,402,5747,347,406,350,404,357,400,374,366,334,327,393,380,425,414,470,7834,501,507,511,504,555,563,585,576,537,535,502,479,499,495,485,4320,455,444,409,417,407,454,418,424,464,428,2728,302,335,309,292,288,248,263,255,218,218,1045,161,161,138,107,110,368,33443,1596,311,276,319,328,362,1865,335,348,358,407,417,2252,378,371,375,362,384,382,1317,349,343,351,274,1661,284,322,333,354,368,3838,382,386,412,402,401,339,367,407,383,359,5564,411,346,357,401,393,345,348,322,316,335,352,346,411,413,468,7918,439,491,497,483,547,576,588,538,602,548,539,550,528,492,500,4361,482,443,454,378,419,423,418,440,459,445,2383,287,382,282,252,268,198,224,154,181,155,688,139,110,84,80,75,200
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+"2021","Nottingham","E06000018",323632,17820,3166,3621,3576,3577,3880,19251,3856,3723,3768,3991,3913,22239,3884,3768,3773,3839,3543,3432,28261,3341,3323,7462,14135,43635,13848,11440,7588,5778,4981,48487,4715,4760,4890,4952,4957,4996,4993,4776,4822,4626,57159,4592,4491,4107,4117,3880,3995,3903,3691,3361,3422,3485,3477,3423,3576,3639,48817,3724,3474,3548,3560,3554,3634,3476,3306,3392,3224,3051,2870,2829,2649,2526,20682,2337,2299,2249,2080,1919,2014,1968,1905,2027,1884,11979,1504,1504,1443,1280,1133,1105,1063,1061,1008,878,5302,828,713,635,583,506,2037,164627,8642,1435,1809,1747,1721,1930,9449,1904,1759,1848,2005,1933,10764,1862,1815,1861,1794,1768,1664,14125,1678,1552,3725,7170,22460,7331,5828,3883,2932,2486,25222,2403,2471,2547,2508,2660,2561,2586,2472,2499,2515,28679,2324,2198,2143,2104,2006,2061,1960,1875,1687,1658,1732,1707,1714,1734,1776,24661,1875,1754,1842,1797,1802,1768,1774,1666,1686,1656,1504,1436,1448,1405,1248,10562,1178,1169,1212,1069,953,990,966,989,1065,971,6658,779,793,803,690,643,625,603,623,572,527,3405,497,419,382,361,326,1420,159005,9178,1731,1812,1829,1856,1950,9802,1952,1964,1920,1986,1980,11475,2022,1953,1912,2045,1775,1768,14136,1663,1771,3737,6965,21175,6517,5612,3705,2846,2495,23265,2312,2289,2343,2444,2297,2435,2407,2304,2323,2111,28480,2268,2293,1964,2013,1874,1934,1943,1816,1674,1764,1753,1770,1709,1842,1863,24156,1849,1720,1706,1763,1752,1866,1702,1640,1706,1568,1547,1434,1381,1244,1278,10120,1159,1130,1037,1011,966,1024,1002,916,962,913,5321,725,711,640,590,490,480,460,438,436,351,1897,331,294,253,222,180,617
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+"2021","West Northamptonshire","E06000062",425726,23967,4463,4699,4849,4928,5028,26379,5196,5163,5192,5387,5441,31879,5410,5405,5474,5430,5147,5013,18831,4794,4884,4652,4501,24155,4702,4714,4702,4991,5046,58132,5095,5307,5450,5616,5874,6070,6108,6150,6373,6089,87043,6057,5946,5871,5994,5863,6233,6018,5722,5325,5218,5372,5682,5718,5811,6213,82663,6146,5901,6142,6083,5970,5955,5997,5796,5623,5522,5086,4816,4745,4529,4352,40260,4049,4010,3941,3915,3846,3772,3982,3899,4507,4339,23630,3158,3279,3023,2646,2238,2034,1933,1955,1794,1570,8787,1355,1235,1118,984,868,3227,215059,11791,2175,2343,2388,2424,2461,12942,2595,2563,2559,2618,2607,15650,2622,2608,2716,2631,2533,2540,9352,2309,2421,2353,2269,11795,2353,2276,2256,2441,2469,29297,2543,2607,2775,2800,2885,3043,3111,3204,3152,3177,43767,3028,3042,2993,3029,2992,3123,3030,2846,2646,2551,2735,2830,2814,2916,3192,41600,3119,2868,3086,3050,3052,2922,3027,2879,2866,2774,2631,2426,2426,2287,2187,20891,2069,2062,1992,2059,2035,1971,2063,2053,2324,2263,12560,1613,1733,1600,1382,1129,1071,1071,1082,990,889,5414,767,707,675,569,512,2184,210667,12176,2288,2356,2461,2504,2567,13437,2601,2600,2633,2769,2834,16229,2788,2797,2758,2799,2614,2473,9479,2485,2463,2299,2232,12360,2349,2438,2446,2550,2577,28835,2552,2700,2675,2816,2989,3027,2997,2946,3221,2912,43276,3029,2904,2878,2965,2871,3110,2988,2876,2679,2667,2637,2852,2904,2895,3021,41063,3027,3033,3056,3033,2918,3033,2970,2917,2757,2748,2455,2390,2319,2242,2165,19369,1980,1948,1949,1856,1811,1801,1919,1846,2183,2076,11070,1545,1546,1423,1264,1109,963,862,873,804,681,3373,588,528,443,415,356,1043
+"2021","Amber Valley","E07000032",126214,6073,1098,1177,1210,1225,1363,6711,1296,1273,1341,1398,1403,8359,1468,1435,1383,1381,1375,1317,4728,1291,1241,1182,1014,6049,996,1145,1233,1303,1372,14744,1356,1441,1390,1493,1546,1607,1479,1463,1514,1455,22851,1458,1433,1480,1449,1420,1449,1568,1404,1335,1419,1460,1581,1617,1836,1942,28223,1918,1948,2014,2021,2029,1966,2075,1979,2014,1818,1779,1694,1722,1599,1647,15653,1540,1449,1568,1471,1464,1517,1610,1626,1729,1679,9546,1241,1334,1253,1121,931,792,785,808,672,609,3277,535,457,422,396,308,1159,64239,2963,544,585,602,611,621,3297,626,640,641,693,697,4132,729,707,698,679,696,623,2218,583,607,581,447,3034,460,572,632,667,703,7489,685,734,714,758,788,786,761,746,761,756,11667,743,780,734,740,733,754,809,683,719,723,767,769,812,923,978,14244,941,1007,1040,982,1033,1029,1028,1022,1016,881,911,858,883,798,815,8020,743,748,825,789,701,778,824,836,926,850,5108,635,684,692,565,490,420,436,430,395,361,2067,313,256,283,223,176,816,61975,3110,554,592,608,614,742,3414,670,633,700,705,706,4227,739,728,685,702,679,694,2510,708,634,601,567,3015,536,573,601,636,669,7255,671,707,676,735,758,821,718,717,753,699,11184,715,653,746,709,687,695,759,721,616,696,693,812,805,913,964,13979,977,941,974,1039,996,937,1047,957,998,937,868,836,839,801,832,7633,797,701,743,682,763,739,786,790,803,829,4438,606,650,561,556,441,372,349,378,277,248,1210,222,201,139,173,132,343
+"2021","Bolsover","E07000033",80277,4099,816,802,863,812,806,4492,896,847,890,899,960,5402,908,871,886,935,875,927,2993,825,808,715,645,4176,669,797,841,889,980,10669,968,1082,1039,1076,1134,1135,1092,1074,1034,1035,14511,1059,1017,972,1011,892,903,932,861,775,882,955,924,992,1165,1171,17725,1280,1185,1364,1324,1243,1254,1261,1254,1186,1097,1095,1083,1064,1010,1025,8831,901,899,906,853,828,875,902,848,906,913,5557,767,826,710,650,523,489,402,444,397,349,1822,293,283,247,213,150,636,40693,1951,405,381,416,346,403,2271,447,420,451,462,491,2642,453,415,429,442,416,487,1447,402,392,346,307,2084,309,409,400,466,500,5444,504,576,511,557,560,574,554,548,534,526,7346,538,526,479,482,469,474,455,422,387,450,474,445,545,602,598,8892,644,596,695,639,625,636,632,651,582,559,541,541,513,516,522,4516,447,446,482,443,413,447,449,428,474,487,2931,382,412,388,334,269,265,194,267,215,205,1169,179,171,145,121,99,454,39584,2148,411,421,447,466,403,2221,449,427,439,437,469,2760,455,456,457,493,459,440,1546,423,416,369,338,2092,360,388,441,423,480,5225,464,506,528,519,574,561,538,526,500,509,7165,521,491,493,529,423,429,477,439,388,432,481,479,447,563,573,8833,636,589,669,685,618,618,629,603,604,538,554,542,551,494,503,4315,454,453,424,410,415,428,453,420,432,426,2626,385,414,322,316,254,224,208,177,182,144,653,114,112,102,92,51,182
+"2021","Chesterfield","E07000034",103569,5082,951,967,1051,1033,1080,5608,1034,1053,1152,1158,1211,6876,1213,1111,1205,1180,1092,1075,3843,1037,1065,961,780,5312,840,967,1154,1160,1191,13060,1179,1280,1367,1324,1417,1338,1229,1283,1265,1378,18860,1186,1221,1221,1200,1296,1287,1305,1213,1153,1081,1198,1260,1278,1442,1519,22540,1545,1527,1556,1507,1564,1679,1631,1603,1547,1469,1490,1412,1365,1340,1305,12076,1290,1197,1213,1199,1147,1150,1221,1132,1261,1266,7476,993,1016,912,867,695,665,652,613,574,489,2836,419,436,375,305,272,1029,52682,2539,479,482,511,514,553,2770,500,523,570,570,607,3364,585,540,604,585,552,498,1833,523,507,450,353,2594,445,462,515,582,590,6634,593,648,687,658,715,670,653,671,647,692,9505,624,608,609,596,629,643,630,638,581,540,626,634,647,732,768,11335,789,768,756,767,768,853,841,808,778,718,756,721,677,682,653,6294,652,631,607,603,590,587,661,610,651,702,4024,512,542,477,467,368,328,351,358,328,293,1790,257,249,226,188,164,706,50887,2543,472,485,540,519,527,2838,534,530,582,588,604,3512,628,571,601,595,540,577,2010,514,558,511,427,2718,395,505,639,578,601,6426,586,632,680,666,702,668,576,612,618,686,9355,562,613,612,604,667,644,675,575,572,541,572,626,631,710,751,11205,756,759,800,740,796,826,790,795,769,751,734,691,688,658,652,5782,638,566,606,596,557,563,560,522,610,564,3452,481,474,435,400,327,337,301,255,246,196,1046,162,187,149,117,108,323
+"2021","Derbyshire Dales","E07000035",71552,2637,478,522,512,497,628,3304,617,677,583,648,779,4542,735,723,739,818,763,764,2749,783,785,654,527,2774,438,513,595,622,606,6136,558,559,584,632,642,612,647,633,636,633,11525,629,653,616,635,675,731,749,742,719,730,812,830,886,1040,1078,17865,1119,1096,1207,1198,1263,1290,1322,1255,1277,1194,1229,1134,1129,1097,1055,10640,1051,998,1022,1020,1014,1072,1009,1085,1194,1175,6813,870,923,886,761,665,583,566,572,524,463,2567,410,371,317,271,269,929,36603,1305,236,259,258,236,316,1665,333,312,307,318,395,2255,363,373,363,407,369,380,1302,384,367,312,239,1272,191,232,270,290,289,3034,255,284,299,306,307,301,322,315,306,339,5933,320,328,327,323,350,376,377,407,354,378,401,397,469,559,567,9109,605,568,604,617,656,638,679,649,653,624,602,577,565,548,524,5478,532,536,503,539,508,561,488,578,624,609,3625,445,475,465,393,353,320,307,325,286,256,1625,231,225,195,165,158,651,34949,1332,242,263,254,261,312,1639,284,365,276,330,384,2287,372,350,376,411,394,384,1447,399,418,342,288,1502,247,281,325,332,317,3102,303,275,285,326,335,311,325,318,330,294,5592,309,325,289,312,325,355,372,335,365,352,411,433,417,481,511,8756,514,528,603,581,607,652,643,606,624,570,627,557,564,549,531,5162,519,462,519,481,506,511,521,507,570,566,3188,425,448,421,368,312,263,259,247,238,207,942,179,146,122,106,111,278
+"2021","Erewash","E07000036",112907,5492,983,1073,1105,1160,1171,6375,1229,1251,1268,1327,1300,7511,1317,1282,1268,1285,1162,1197,4493,1260,1199,1054,980,5744,985,1086,1168,1240,1265,14541,1339,1376,1403,1392,1470,1503,1509,1555,1523,1471,20939,1451,1388,1331,1385,1415,1451,1385,1356,1174,1174,1308,1413,1507,1510,1691,24320,1739,1718,1727,1799,1775,1800,1666,1714,1678,1672,1531,1440,1378,1403,1280,12489,1196,1228,1192,1217,1235,1166,1202,1265,1413,1375,8042,1042,1121,1018,882,772,674,717,639,641,536,2961,503,407,392,352,313,994,57462,2706,520,514,558,569,545,3028,583,596,579,628,642,3583,644,600,610,619,537,573,2146,620,556,521,449,2873,492,519,566,647,649,7485,689,726,696,717,746,770,776,835,772,758,10670,764,703,657,715,738,751,682,703,599,592,664,711,757,773,861,12312,894,875,885,916,897,914,858,878,823,843,762,720,695,691,661,6436,607,632,602,640,650,590,601,651,742,721,4398,559,569,561,492,413,365,393,365,373,308,1825,286,237,221,220,198,663,55445,2786,463,559,547,591,626,3347,646,655,689,699,658,3928,673,682,658,666,625,624,2347,640,643,533,531,2871,493,567,602,593,616,7056,650,650,707,675,724,733,733,720,751,713,10269,687,685,674,670,677,700,703,653,575,582,644,702,750,737,830,12008,845,843,842,883,878,886,808,836,855,829,769,720,683,712,619,6053,589,596,590,577,585,576,601,614,671,654,3644,483,552,457,390,359,309,324,274,268,228,1136,217,170,171,132,115,331
+"2021","High Peak","E07000037",90934,4329,783,860,835,915,936,4805,912,942,897,1001,1053,6140,1013,1022,1032,1079,1011,983,3466,1006,983,835,642,4194,681,798,903,919,893,10175,856,944,914,986,1110,1116,1052,1013,1078,1106,16392,1045,1086,1056,1025,1070,1152,1022,1074,985,971,993,1156,1119,1320,1318,21593,1437,1420,1443,1538,1526,1521,1547,1578,1481,1449,1441,1327,1368,1304,1213,11096,1138,1048,1140,1063,1127,1020,1067,1105,1207,1181,6540,903,874,845,722,652,581,557,528,432,446,2204,363,348,274,233,221,765,46253,2152,404,404,412,463,469,2375,459,457,449,479,531,2989,488,501,500,505,511,484,1675,477,474,389,335,2009,317,405,439,421,427,5196,430,478,464,494,591,539,556,536,528,580,8439,535,577,549,525,551,602,537,563,518,479,528,577,575,680,643,10884,723,724,723,767,764,788,803,803,737,689,742,697,682,646,596,5588,555,534,572,518,593,499,523,581,617,596,3544,464,451,455,391,366,328,293,296,239,261,1402,213,212,177,149,128,523,44681,2177,379,456,423,452,467,2430,453,485,448,522,522,3151,525,521,532,574,500,499,1791,529,509,446,307,2185,364,393,464,498,466,4979,426,466,450,492,519,577,496,477,550,526,7953,510,509,507,500,519,550,485,511,467,492,465,579,544,640,675,10709,714,696,720,771,762,733,744,775,744,760,699,630,686,658,617,5508,583,514,568,545,534,521,544,524,590,585,2996,439,423,390,331,286,253,264,232,193,185,802,150,136,97,84,93,242
+"2021","North East Derbyshire","E07000038",102002,4839,910,921,937,978,1093,5383,1034,1039,1058,1082,1170,6508,1101,1155,1070,1091,1063,1028,3799,1040,1013,935,811,4570,770,806,992,964,1038,11335,1065,1158,1100,1153,1152,1163,1094,1116,1181,1153,17539,1097,1133,1138,1139,1081,1207,1263,1003,1078,1051,1164,1192,1191,1370,1432,22697,1507,1505,1503,1524,1701,1598,1593,1554,1597,1482,1439,1474,1423,1440,1357,13319,1283,1356,1363,1191,1245,1262,1339,1399,1432,1449,9024,1196,1268,1171,1032,800,790,757,770,664,576,2989,506,463,374,350,285,1011,52268,2393,456,458,462,489,528,2683,516,536,559,493,579,3213,532,577,508,544,523,529,1851,504,508,423,416,2286,378,389,474,504,541,5786,511,569,569,577,597,617,528,565,641,612,8951,586,592,587,582,533,603,631,524,548,538,584,649,580,681,733,11502,767,786,748,805,847,818,807,812,803,730,691,758,724,720,686,6948,667,715,699,604,669,640,709,758,745,742,4835,651,642,603,557,427,428,419,392,381,335,1820,289,274,206,207,180,664,49734,2446,454,463,475,489,565,2700,518,503,499,589,591,3295,569,578,562,547,540,499,1948,536,505,512,395,2284,392,417,518,460,497,5549,554,589,531,576,555,546,566,551,540,541,8588,511,541,551,557,548,604,632,479,530,513,580,543,611,689,699,11195,740,719,755,719,854,780,786,742,794,752,748,716,699,720,671,6371,616,641,664,587,576,622,630,641,687,707,4189,545,626,568,475,373,362,338,378,283,241,1169,217,189,168,143,105,347
+"2021","South Derbyshire","E07000039",107207,5764,1095,1097,1247,1131,1194,6445,1343,1234,1165,1341,1362,8047,1351,1322,1327,1344,1333,1370,4350,1242,1217,1034,857,5202,834,939,1073,1160,1196,14050,1277,1295,1375,1448,1500,1534,1512,1354,1392,1363,20920,1409,1370,1414,1369,1354,1425,1352,1328,1248,1322,1313,1348,1458,1532,1678,22493,1689,1619,1661,1697,1739,1650,1582,1493,1515,1516,1374,1274,1313,1233,1138,11256,1136,1143,1160,1131,1104,1057,1103,1038,1201,1183,6433,851,961,856,744,581,538,553,536,412,401,2247,387,327,289,245,224,775,54664,2840,539,541,612,539,609,3144,681,596,556,662,649,3908,671,680,626,623,638,670,2074,613,587,486,388,2567,398,455,514,581,619,7300,672,662,715,765,773,813,776,688,714,722,10740,743,747,692,723,671,743,700,712,660,684,658,660,760,751,836,11387,877,844,864,834,822,809,776,768,798,794,687,649,685,605,575,5832,585,613,610,556,567,514,584,547,652,604,3441,455,491,441,363,327,290,308,296,227,243,1431,233,214,178,155,129,522,52543,2924,556,556,635,592,585,3301,662,638,609,679,713,4139,680,642,701,721,695,700,2276,629,630,548,469,2635,436,484,559,579,577,6750,605,633,660,683,727,721,736,666,678,641,10180,666,623,722,646,683,682,652,616,588,638,655,688,698,781,842,11106,812,775,797,863,917,841,806,725,717,722,687,625,628,628,563,5424,551,530,550,575,537,543,519,491,549,579,2992,396,470,415,381,254,248,245,240,185,158,816,154,113,111,90,95,253
+"2021","Blaby","E07000129",102927,5710,1031,1101,1153,1160,1265,6226,1216,1217,1204,1278,1311,7322,1249,1210,1236,1270,1169,1188,4138,1194,1146,970,828,4796,809,872,1028,1030,1057,13020,1131,1179,1199,1274,1324,1342,1362,1374,1503,1332,19805,1374,1381,1410,1323,1342,1404,1320,1233,1220,1183,1239,1318,1255,1438,1365,20840,1495,1392,1489,1488,1495,1392,1499,1441,1386,1424,1394,1311,1266,1213,1155,11148,1076,1050,1108,1096,1048,1027,1147,1141,1260,1195,7213,864,1014,896,805,663,602,639,651,555,524,2709,475,400,386,327,230,891,52481,2758,531,542,547,534,604,2963,590,572,563,607,631,3576,657,605,605,586,566,557,1979,581,557,448,393,2362,384,419,516,502,541,6696,562,608,634,649,663,677,704,721,786,692,10163,720,693,745,666,692,711,660,662,612,603,647,673,647,748,684,10588,731,701,778,761,751,706,774,767,705,718,709,684,627,613,563,5798,545,533,579,570,536,513,615,629,649,629,3933,454,531,477,422,366,336,364,368,329,286,1665,268,242,234,185,134,602,50446,2952,500,559,606,626,661,3263,626,645,641,671,680,3746,592,605,631,684,603,631,2159,613,589,522,435,2434,425,453,512,528,516,6324,569,571,565,625,661,665,658,653,717,640,9642,654,688,665,657,650,693,660,571,608,580,592,645,608,690,681,10252,764,691,711,727,744,686,725,674,681,706,685,627,639,600,592,5350,531,517,529,526,512,514,532,512,611,566,3280,410,483,419,383,297,266,275,283,226,238,1044,207,158,152,142,96,289
+"2021","Charnwood","E07000130",183970,9173,1664,1790,1846,1928,1945,9860,2002,1920,1835,2024,2079,11839,2138,1988,1992,1942,1853,1926,11813,1841,2027,3267,4678,16048,3999,3681,3502,2629,2237,22737,2087,2168,2194,2209,2296,2429,2375,2274,2377,2328,33327,2371,2412,2320,2215,2305,2368,2273,2125,1995,1907,2053,2119,2167,2260,2437,34538,2496,2484,2432,2440,2419,2369,2446,2347,2338,2236,2276,2088,2161,2051,1955,18665,1845,1831,1894,1896,1858,1837,1733,1905,1971,1895,11485,1485,1570,1524,1303,1053,1002,983,923,860,782,4485,727,613,591,507,452,1595,91929,4463,806,927,873,926,931,4784,960,952,872,995,1005,5761,1068,992,1005,920,911,865,5260,875,982,1463,1940,7085,1710,1556,1530,1205,1084,11587,1015,1109,1104,1118,1194,1228,1190,1159,1261,1209,16922,1213,1206,1191,1163,1147,1211,1183,1086,997,917,1060,1043,1110,1160,1235,17481,1273,1246,1218,1278,1217,1180,1230,1180,1211,1150,1117,1089,1107,1075,910,9596,903,939,989,965,988,929,890,986,1042,965,6207,765,875,839,675,550,542,539,506,479,437,2783,404,370,358,306,279,1066,92041,4710,858,863,973,1002,1014,5076,1042,968,963,1029,1074,6078,1070,996,987,1022,942,1061,6553,966,1045,1804,2738,8963,2289,2125,1972,1424,1153,11150,1072,1059,1090,1091,1102,1201,1185,1115,1116,1119,16405,1158,1206,1129,1052,1158,1157,1090,1039,998,990,993,1076,1057,1100,1202,17057,1223,1238,1214,1162,1202,1189,1216,1167,1127,1086,1159,999,1054,976,1045,9069,942,892,905,931,870,908,843,919,929,930,5278,720,695,685,628,503,460,444,417,381,345,1702,323,243,233,201,173,529
+"2021","Harborough","E07000131",97619,4718,871,913,982,964,988,5370,1078,1021,1124,1036,1111,7107,1136,1172,1182,1230,1182,1205,4200,1210,1270,984,736,4343,734,809,842,963,995,10486,971,1045,929,1036,1020,1132,1075,1078,1146,1054,18334,1160,1105,1080,1128,1189,1217,1265,1198,1105,1147,1200,1290,1342,1422,1486,21565,1567,1442,1601,1483,1598,1557,1579,1510,1440,1434,1428,1268,1281,1232,1145,11430,1232,1076,1093,1080,1063,1074,1158,1137,1239,1278,7336,915,1029,940,845,635,604,652,623,539,554,2730,456,397,348,281,280,968,49270,2272,423,431,483,454,481,2616,519,493,541,508,555,3387,550,568,533,583,600,553,1980,547,625,460,348,2063,335,378,409,450,491,5287,480,500,477,531,490,596,541,533,570,569,9381,597,549,573,588,625,574,663,608,565,584,611,666,725,721,732,10887,779,752,828,742,795,813,829,778,731,689,665,636,636,620,594,5870,615,569,561,549,523,546,629,587,635,656,3886,460,547,488,431,316,327,348,340,302,327,1641,262,222,192,158,170,637,48349,2446,448,482,499,510,507,2754,559,528,583,528,556,3720,586,604,649,647,582,652,2220,663,645,524,388,2280,399,431,433,513,504,5199,491,545,452,505,530,536,534,545,576,485,8953,563,556,507,540,564,643,602,590,540,563,589,624,617,701,754,10678,788,690,773,741,803,744,750,732,709,745,763,632,645,612,551,5560,617,507,532,531,540,528,529,550,604,622,3450,455,482,452,414,319,277,304,283,237,227,1089,194,175,156,123,110,331
+"2021","Hinckley and Bosworth","E07000132",113640,5686,1023,1129,1118,1183,1233,6349,1229,1244,1223,1322,1331,7687,1333,1273,1276,1274,1299,1232,4347,1243,1182,1059,863,5037,854,904,1116,1037,1126,13808,1236,1275,1350,1319,1431,1487,1495,1378,1452,1385,21228,1461,1444,1356,1396,1456,1438,1394,1379,1233,1287,1392,1393,1435,1527,1637,24088,1719,1690,1717,1693,1717,1769,1618,1595,1619,1660,1572,1527,1433,1420,1339,13775,1332,1222,1386,1368,1309,1378,1392,1490,1493,1405,8578,1132,1229,1071,973,780,782,706,708,667,530,3057,499,433,366,344,282,1133,57611,2729,513,537,525,566,588,3097,601,629,605,627,635,3721,674,611,593,615,619,609,2092,577,590,510,415,2445,405,431,542,513,554,7057,627,639,680,685,744,760,756,703,740,723,10807,709,747,689,720,741,739,705,730,629,624,703,723,720,801,827,12121,893,858,872,822,825,914,795,765,842,841,773,762,736,751,672,7079,691,593,723,728,666,680,770,756,752,720,4603,587,651,558,519,450,404,368,413,358,295,1860,290,233,213,193,171,760,56029,2957,510,592,593,617,645,3252,628,615,618,695,696,3966,659,662,683,659,680,623,2255,666,592,549,448,2592,449,473,574,524,572,6751,609,636,670,634,687,727,739,675,712,662,10421,752,697,667,676,715,699,689,649,604,663,689,670,715,726,810,11967,826,832,845,871,892,855,823,830,777,819,799,765,697,669,667,6696,641,629,663,640,643,698,622,734,741,685,3975,545,578,513,454,330,378,338,295,309,235,1197,209,200,153,151,111,373
+"2021","Melton","E07000133",51743,2413,435,483,461,512,522,2826,504,564,544,597,617,3561,629,589,599,586,582,576,1975,560,557,486,372,2249,371,398,480,482,518,5503,517,544,498,532,542,576,619,571,594,510,8961,565,527,547,579,571,612,612,570,614,531,548,639,627,690,729,12095,779,801,884,811,889,901,873,877,883,775,786,705,705,722,704,6674,635,652,651,679,635,675,659,673,752,663,3995,531,570,517,476,360,325,370,325,272,249,1491,249,226,178,179,140,519,26498,1169,214,221,232,247,255,1379,244,285,254,298,298,1779,330,296,287,267,295,304,964,269,254,245,196,1113,159,194,241,244,275,2816,236,312,238,287,284,303,319,277,294,266,4676,280,268,292,305,300,315,318,300,330,279,303,335,320,372,359,6184,410,420,441,389,489,474,415,436,448,390,409,359,363,378,363,3379,328,326,326,331,319,366,333,341,387,322,2102,283,287,262,263,198,166,183,171,146,143,937,149,141,101,107,98,341,25245,1244,221,262,229,265,267,1447,260,279,290,299,319,1782,299,293,312,319,287,272,1011,291,303,241,176,1136,212,204,239,238,243,2687,281,232,260,245,258,273,300,294,300,244,4285,285,259,255,274,271,297,294,270,284,252,245,304,307,318,370,5911,369,381,443,422,400,427,458,441,435,385,377,346,342,344,341,3295,307,326,325,348,316,309,326,332,365,341,1893,248,283,255,213,162,159,187,154,126,106,554,100,85,77,72,42,178
+"2021","North West Leicestershire","E07000134",104705,5454,1052,1031,1137,1125,1109,5872,1152,1153,1135,1218,1214,7215,1225,1254,1173,1220,1186,1157,4281,1178,1191,952,960,5788,1006,1135,1246,1208,1193,12986,1140,1166,1284,1291,1372,1435,1322,1346,1331,1299,19969,1254,1314,1299,1325,1307,1369,1303,1218,1160,1239,1247,1312,1441,1522,1659,22139,1645,1564,1589,1631,1642,1560,1558,1557,1460,1491,1395,1303,1313,1238,1193,11713,1122,1101,1162,1111,1148,1140,1184,1167,1260,1318,7011,979,1035,908,796,637,585,616,535,479,441,2277,377,358,282,249,216,795,53069,2620,498,484,556,537,545,2911,563,575,586,600,587,3479,606,606,570,596,559,542,2091,561,594,453,483,3020,544,610,650,621,595,6615,537,599,650,651,699,746,666,687,702,678,10202,646,642,680,712,658,724,651,631,600,614,627,662,734,774,847,11087,847,774,788,797,840,789,766,771,737,756,702,637,647,632,604,5918,550,540,590,571,562,563,626,594,663,659,3689,517,519,480,413,323,308,327,286,252,264,1437,222,210,178,147,131,549,51636,2834,554,547,581,588,564,2961,589,578,549,618,627,3736,619,648,603,624,627,615,2190,617,597,499,477,2768,462,525,596,587,598,6371,603,567,634,640,673,689,656,659,629,621,9767,608,672,619,613,649,645,652,587,560,625,620,650,707,748,812,11052,798,790,801,834,802,771,792,786,723,735,693,666,666,606,589,5795,572,561,572,540,586,577,558,573,597,659,3322,462,516,428,383,314,277,289,249,227,177,840,155,148,104,102,85,246
+"2021","Oadby and Wigston","E07000135",57754,2867,493,535,561,612,666,3507,690,686,676,716,739,4168,700,713,701,704,662,688,3539,692,644,1028,1175,2927,583,510,617,586,631,6653,590,670,623,657,628,680,697,684,709,715,10490,752,732,676,691,694,792,757,670,631,646,680,676,715,684,694,11298,819,712,807,773,750,788,773,797,784,773,757,726,720,706,613,6039,605,593,615,612,563,572,601,639,625,614,4231,475,549,515,451,392,354,379,387,378,351,2035,319,293,265,239,187,732,29762,1365,232,270,260,289,314,1711,356,324,343,349,339,2081,333,370,361,334,337,346,1723,326,308,514,575,1424,274,238,299,295,318,3405,283,316,313,330,307,363,371,361,391,370,5438,370,412,357,356,360,426,385,362,321,332,347,349,369,330,362,5810,402,379,414,397,371,431,402,431,410,404,382,362,378,331,316,3169,295,307,306,318,299,310,317,338,337,342,2352,250,290,295,250,215,188,207,235,225,197,1284,190,180,157,144,119,494,27992,1502,261,265,301,323,352,1796,334,362,333,367,400,2087,367,343,340,370,325,342,1816,366,336,514,600,1503,309,272,318,291,313,3248,307,354,310,327,321,317,326,323,318,345,5052,382,320,319,335,334,366,372,308,310,314,333,327,346,354,332,5488,417,333,393,376,379,357,371,366,374,369,375,364,342,375,297,2870,310,286,309,294,264,262,284,301,288,272,1879,225,259,220,201,177,166,172,152,153,154,751,129,113,108,95,68,238
+"2021","Boston","E07000136",70509,3648,644,743,686,832,743,4162,793,821,819,842,887,5112,845,908,902,860,783,814,2945,832,739,739,635,3614,624,683,770,743,794,9044,793,792,854,888,913,943,922,979,992,968,13495,972,956,949,888,919,879,867,866,826,787,878,865,884,957,1002,14081,963,947,967,980,985,1008,1046,979,929,945,955,846,829,889,813,7637,807,757,771,723,763,733,774,742,764,803,4835,643,647,586,531,469,421,460,427,351,300,1936,325,268,218,220,185,720,35809,1723,294,350,309,404,366,2035,380,398,404,414,439,2520,407,425,457,405,392,434,1413,402,354,342,315,1753,313,320,375,358,387,4580,412,389,419,457,469,478,460,473,529,494,6857,506,483,481,443,442,454,442,436,410,408,480,473,440,465,494,7231,533,503,486,504,515,508,520,496,483,496,482,416,417,461,411,3927,428,374,405,368,382,382,405,376,388,419,2595,329,338,324,278,222,223,274,240,202,165,1175,192,150,131,122,117,463,34700,1925,350,393,377,428,377,2127,413,423,415,428,448,2592,438,483,445,455,391,380,1532,430,385,397,320,1861,311,363,395,385,407,4464,381,403,435,431,444,465,462,506,463,474,6638,466,473,468,445,477,425,425,430,416,379,398,392,444,492,508,6850,430,444,481,476,470,500,526,483,446,449,473,430,412,428,402,3710,379,383,366,355,381,351,369,366,376,384,2240,314,309,262,253,247,198,186,187,149,135,761,133,118,87,98,68,257
+"2021","East Lindsey","E07000137",142301,5637,1047,1092,1123,1195,1180,6528,1259,1252,1291,1325,1401,8715,1473,1500,1428,1482,1388,1444,4922,1341,1388,1211,982,5925,1018,1151,1246,1289,1221,13431,1274,1334,1312,1325,1337,1386,1333,1406,1403,1321,20368,1294,1237,1244,1237,1278,1359,1286,1283,1176,1229,1262,1418,1483,1737,1845,33444,1997,1935,2112,2035,2153,2293,2288,2365,2383,2382,2296,2292,2300,2317,2296,23357,2251,2195,2215,2287,2166,2294,2396,2321,2573,2659,14986,2076,2086,1923,1654,1461,1320,1241,1164,1077,984,4988,833,703,600,576,503,1773,72774,2715,493,509,551,577,585,3206,598,630,618,681,679,4341,729,757,704,705,715,731,2331,674,671,552,434,2835,462,535,624,618,596,6740,611,622,643,665,683,690,688,749,715,674,10671,717,636,652,627,639,716,673,659,636,630,650,740,792,922,982,17328,1042,1003,1128,1041,1135,1198,1184,1220,1236,1235,1183,1152,1210,1169,1192,11994,1214,1104,1129,1153,1114,1149,1285,1223,1288,1335,7716,1016,1064,980,820,760,687,672,643,556,518,2897,432,398,320,337,292,1118,69527,2922,554,583,572,618,595,3322,661,622,673,644,722,4374,744,743,724,777,673,713,2591,667,717,659,548,3090,556,616,622,671,625,6691,663,712,669,660,654,696,645,657,688,647,9697,577,601,592,610,639,643,613,624,540,599,612,678,691,815,863,16116,955,932,984,994,1018,1095,1104,1145,1147,1147,1113,1140,1090,1148,1104,11363,1037,1091,1086,1134,1052,1145,1111,1098,1285,1324,7270,1060,1022,943,834,701,633,569,521,521,466,2091,401,305,280,239,211,655
+"2021","Lincoln","E07000138",103812,5120,1035,969,1046,1026,1044,5391,1138,1045,1036,1124,1048,6233,1053,1093,1136,1002,988,961,7874,972,1022,2062,3818,13598,4283,3582,2313,1792,1628,15606,1567,1665,1631,1557,1523,1562,1545,1532,1575,1449,17973,1409,1366,1298,1254,1203,1293,1261,1188,1079,1010,1070,1092,1083,1158,1209,17006,1205,1140,1215,1214,1192,1223,1173,1166,1281,1176,1157,991,1018,910,945,8123,819,828,832,807,838,770,798,791,819,821,4838,620,638,640,503,408,448,446,386,414,335,2050,353,266,271,207,199,754,52408,2458,509,458,499,513,479,2627,564,511,528,553,471,2951,514,523,516,461,481,456,4231,480,462,1116,2173,7066,2299,1930,1172,896,769,7624,753,815,789,772,756,796,748,703,787,705,8778,663,670,633,601,607,631,655,591,538,487,525,495,533,573,576,8501,588,558,611,607,586,628,586,575,675,597,573,465,532,477,443,4163,423,431,423,409,434,396,415,388,427,417,2686,321,369,342,269,228,230,242,217,272,196,1323,220,159,168,129,121,526,51404,2662,526,511,547,513,565,2764,574,534,508,571,577,3282,539,570,620,541,507,505,3643,492,560,946,1645,6532,1984,1652,1141,896,859,7982,814,850,842,785,767,766,797,829,788,744,9195,746,696,665,653,596,662,606,597,541,523,545,597,550,585,633,8505,617,582,604,607,606,595,587,591,606,579,584,526,486,433,502,3960,396,397,409,398,404,374,383,403,392,404,2152,299,269,298,234,180,218,204,169,142,139,727,133,107,103,78,78,228
+"2021","North Kesteven","E07000139",118067,5530,984,1059,1063,1174,1250,6613,1311,1288,1247,1349,1418,7916,1347,1337,1388,1291,1278,1275,4626,1251,1354,1110,911,5497,941,993,1152,1182,1229,13696,1282,1275,1319,1329,1410,1480,1370,1430,1469,1332,20937,1350,1448,1383,1389,1354,1357,1440,1349,1205,1191,1297,1364,1444,1592,1774,25643,1754,1782,1807,1825,1815,1790,1861,1837,1827,1739,1679,1539,1519,1430,1439,14290,1273,1394,1347,1294,1357,1364,1517,1409,1729,1606,9915,1203,1355,1198,1072,996,916,922,845,758,650,3404,592,499,475,345,326,1167,60220,2700,476,552,525,568,579,3269,648,628,613,709,671,3993,685,662,696,667,650,633,2181,600,664,529,388,2550,435,454,548,547,566,6918,622,587,688,652,725,779,674,744,746,701,10773,717,717,693,715,715,697,706,698,631,630,685,683,759,811,916,13126,936,961,915,938,926,903,967,905,908,872,870,785,778,718,744,7395,629,684,681,694,686,720,809,778,901,813,5268,607,709,645,578,531,489,513,449,375,372,2047,343,262,277,208,189,768,57847,2830,508,507,538,606,671,3344,663,660,634,640,747,3923,662,675,692,624,628,642,2445,651,690,581,523,2947,506,539,604,635,663,6778,660,688,631,677,685,701,696,686,723,631,10164,633,731,690,674,639,660,734,651,574,561,612,681,685,781,858,12517,818,821,892,887,889,887,894,932,919,867,809,754,741,712,695,6895,644,710,666,600,671,644,708,631,828,793,4647,596,646,553,494,465,427,409,396,383,278,1357,249,237,198,137,137,399
+"2021","South Holland","E07000140",95117,4731,897,930,947,976,981,5140,1010,995,1009,1077,1049,6250,1018,1075,1051,1007,1041,1058,3487,918,945,850,774,4547,744,858,951,972,1022,11088,990,1079,1043,1115,1019,1159,1195,1180,1221,1087,16907,1162,1105,1057,1129,1060,1082,1101,1091,988,1076,1089,1162,1200,1267,1338,20270,1405,1343,1385,1357,1442,1460,1482,1432,1418,1369,1323,1200,1233,1210,1211,11844,1109,1134,1136,1096,1140,1122,1160,1238,1365,1344,7779,951,1018,911,904,762,681,719,637,623,573,3074,513,421,367,351,304,1118,48368,2231,407,462,449,456,457,2577,494,510,514,523,536,3005,480,527,494,453,525,526,1698,468,443,391,396,2217,347,413,472,485,500,5571,515,527,530,546,529,589,599,588,623,525,8664,567,560,554,584,536,558,536,555,497,558,581,604,638,636,700,10268,684,690,718,688,730,749,750,735,701,708,665,612,619,598,621,6103,579,565,579,588,602,561,604,637,708,680,4172,497,566,451,476,426,386,375,356,336,303,1862,295,243,201,204,187,732,46749,2500,490,468,498,520,524,2563,516,485,495,554,513,3245,538,548,557,554,516,532,1789,450,502,459,378,2330,397,445,479,487,522,5517,475,552,513,569,490,570,596,592,598,562,8243,595,545,503,545,524,524,565,536,491,518,508,558,562,631,638,10002,721,653,667,669,712,711,732,697,717,661,658,588,614,612,590,5741,530,569,557,508,538,561,556,601,657,664,3607,454,452,460,428,336,295,344,281,287,270,1212,218,178,166,147,117,386
+"2021","South Kesteven","E07000141",143400,6751,1264,1279,1301,1438,1469,8131,1631,1634,1521,1634,1711,10508,1800,1726,1763,1846,1717,1656,5712,1622,1622,1351,1117,6110,983,1109,1295,1340,1383,15571,1476,1449,1544,1506,1541,1576,1612,1639,1618,1610,26103,1600,1590,1624,1660,1673,1871,1768,1643,1584,1579,1705,1764,1840,1997,2205,31392,2189,2242,2167,2117,2140,2213,2309,2200,2133,2045,2122,1922,1958,1877,1758,17698,1679,1742,1722,1717,1729,1690,1722,1751,1985,1961,11258,1524,1494,1418,1268,1150,961,976,897,810,760,4166,702,589,491,432,393,1559,73891,3272,610,626,632,697,707,3958,797,803,706,822,830,5248,908,856,870,918,878,818,2790,790,797,676,527,3023,462,551,650,691,669,8034,751,730,790,762,821,857,858,816,807,842,13673,885,837,869,866,851,999,923,866,822,831,845,939,950,1053,1137,16088,1142,1181,1092,1060,1094,1158,1171,1109,1049,1068,1087,1004,1012,980,881,9251,859,887,921,898,903,877,881,942,1060,1023,5987,766,821,737,655,634,516,504,488,455,411,2567,407,346,290,242,247,1035,69509,3479,654,653,669,741,762,4173,834,831,815,812,881,5260,892,870,893,928,839,838,2922,832,825,675,590,3087,521,558,645,649,714,7537,725,719,754,744,720,719,754,823,811,768,12430,715,753,755,794,822,872,845,777,762,748,860,825,890,944,1068,15304,1047,1061,1075,1057,1046,1055,1138,1091,1084,977,1035,918,946,897,877,8447,820,855,801,819,826,813,841,809,925,938,5271,758,673,681,613,516,445,472,409,355,349,1599,295,243,201,190,146,524
+"2021","West Lindsey","E07000142",95146,4400,780,858,869,964,929,5273,1006,1041,1062,1052,1112,6361,1076,1053,1052,1077,1050,1053,3616,1082,1009,829,696,4089,683,767,813,898,928,9887,944,909,925,1000,1020,1064,1030,998,1012,985,15864,1011,1063,986,1061,1025,1067,1016,1034,936,932,1018,1097,1136,1197,1285,21669,1338,1417,1443,1436,1549,1526,1540,1463,1496,1535,1497,1420,1372,1337,1300,12991,1305,1299,1257,1255,1207,1239,1291,1319,1346,1473,8241,1066,1136,1076,991,780,723,661,647,600,561,2755,513,454,345,289,236,918,48462,2074,336,394,424,461,459,2604,508,509,526,522,539,3079,529,510,484,525,520,511,1676,501,474,397,304,1963,313,363,386,443,458,5118,473,470,456,549,528,521,533,554,532,502,8233,537,541,528,566,533,562,540,528,455,502,520,561,568,639,653,11120,702,726,755,716,784,788,816,750,761,796,723,737,699,706,661,6662,686,675,658,632,602,639,655,675,684,756,4302,560,571,555,513,404,368,353,333,326,319,1631,273,247,194,171,141,605,46684,2326,444,464,445,503,470,2669,498,532,536,530,573,3282,547,543,568,552,530,542,1940,581,535,432,392,2126,370,404,427,455,470,4769,471,439,469,451,492,543,497,444,480,483,7631,474,522,458,495,492,505,476,506,481,430,498,536,568,558,632,10549,636,691,688,720,765,738,724,713,735,739,774,683,673,631,639,6329,619,624,599,623,605,600,636,644,662,717,3939,506,565,521,478,376,355,308,314,274,242,1124,240,207,151,118,95,313
+"2021","Ashfield","E07000170",126311,6780,1240,1353,1303,1441,1443,7703,1489,1462,1555,1589,1608,8974,1617,1509,1533,1446,1459,1410,5137,1407,1337,1268,1125,6451,1131,1180,1322,1340,1478,16482,1455,1473,1599,1624,1701,1713,1794,1736,1765,1622,23511,1718,1597,1557,1557,1550,1638,1573,1442,1437,1387,1448,1417,1625,1684,1881,26382,1920,1855,1942,1896,1855,1893,1948,1810,1886,1712,1664,1721,1480,1399,1401,13320,1355,1292,1318,1325,1327,1288,1329,1354,1369,1363,8727,1089,1172,1105,1074,860,758,796,705,620,548,2844,490,395,380,308,267,1004,64440,3266,612,641,639,669,705,3702,705,728,762,761,746,4409,803,757,771,721,700,657,2513,660,652,624,577,3173,528,570,655,673,747,8681,781,770,875,842,886,903,962,890,896,876,12015,848,841,798,774,797,845,816,733,740,700,721,726,820,853,1003,13265,989,962,987,937,933,946,1000,899,921,848,845,882,736,694,686,6882,707,658,700,685,663,656,681,705,697,730,4760,597,615,581,568,477,412,436,400,349,325,1774,284,223,230,188,170,679,61871,3514,628,712,664,772,738,4001,784,734,793,828,862,4565,814,752,762,725,759,753,2624,747,685,644,548,3278,603,610,667,667,731,7801,674,703,724,782,815,810,832,846,869,746,11496,870,756,759,783,753,793,757,709,697,687,727,691,805,831,878,13117,931,893,955,959,922,947,948,911,965,864,819,839,744,705,715,6438,648,634,618,640,664,632,648,649,672,633,3967,492,557,524,506,383,346,360,305,271,223,1070,206,172,150,120,97,325
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+"2021","Stafford","E07000197",136862,6718,1225,1373,1373,1308,1439,7407,1448,1422,1448,1573,1516,9126,1520,1491,1582,1598,1476,1459,4972,1407,1391,1179,995,6331,1080,1143,1338,1333,1437,16360,1425,1506,1632,1615,1644,1696,1715,1673,1797,1657,25088,1628,1708,1648,1613,1623,1758,1731,1576,1533,1505,1512,1672,1764,1865,1952,29409,2040,2002,2077,2082,2125,2011,2151,2063,1954,1960,1911,1852,1788,1774,1619,16333,1603,1581,1597,1577,1565,1573,1655,1684,1737,1761,11167,1397,1453,1393,1342,1081,997,941,985,844,734,3951,651,570,490,439,336,1465,69230,3309,601,662,675,677,694,3560,711,693,703,742,711,4524,738,752,805,807,711,711,2433,711,669,546,507,3064,534,571,644,648,667,8303,686,796,804,850,834,854,858,836,910,875,12511,807,826,843,794,805,897,857,805,776,766,778,795,883,906,973,14810,1014,1013,1041,1027,1100,993,1091,1073,993,960,961,947,881,893,823,8337,780,823,805,792,806,785,843,879,910,914,5971,716,788,756,722,570,512,508,536,459,404,2408,370,301,285,259,210,983,67632,3409,624,711,698,631,745,3847,737,729,745,831,805,4602,782,739,777,791,765,748,2539,696,722,633,488,3267,546,572,694,685,770,8057,739,710,828,765,810,842,857,837,887,782,12577,821,882,805,819,818,861,874,771,757,739,734,877,881,959,979,14599,1026,989,1036,1055,1025,1018,1060,990,961,1000,950,905,907,881,796,7996,823,758,792,785,759,788,812,805,827,847,5196,681,665,637,620,511,485,433,449,385,330,1543,281,269,205,180,126,482
+"2021","Staffordshire Moorlands","E07000198",95845,4073,793,779,790,829,882,4791,900,946,923,992,1030,6128,1038,1025,1061,1073,976,955,3793,1086,1014,949,744,4118,698,809,868,869,874,9595,910,920,885,904,983,1008,936,1044,1017,988,15990,1025,992,970,988,1017,1059,962,933,963,989,1002,1169,1183,1327,1411,22239,1525,1552,1556,1580,1578,1486,1601,1566,1495,1461,1445,1360,1381,1373,1280,13333,1260,1236,1294,1278,1263,1222,1417,1362,1554,1447,8753,1121,1176,1090,972,881,774,727,748,655,609,3032,491,495,365,320,297,1064,48571,2025,407,383,399,400,436,2296,440,435,440,490,491,2963,508,491,507,520,478,459,1815,551,491,445,328,1934,325,386,375,405,443,4897,450,480,457,449,514,508,444,538,533,524,8114,519,499,476,516,487,552,514,481,504,512,515,597,582,643,717,11206,779,758,806,787,792,764,858,756,708,759,731,663,673,707,665,6817,648,611,661,636,636,637,745,691,784,768,4635,567,608,565,506,473,416,387,413,367,333,1869,297,267,210,188,180,727,47274,2048,386,396,391,429,446,2495,460,511,483,502,539,3165,530,534,554,553,498,496,1978,535,523,504,416,2184,373,423,493,464,431,4698,460,440,428,455,469,500,492,506,484,464,7876,506,493,494,472,530,507,448,452,459,477,487,572,601,684,694,11033,746,794,750,793,786,722,743,810,787,702,714,697,708,666,615,6516,612,625,633,642,627,585,672,671,770,679,4118,554,568,525,466,408,358,340,335,288,276,1163,194,228,155,132,117,337
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+"2021","Nuneaton and Bedworth","E07000219",134189,7752,1474,1515,1608,1573,1582,8165,1620,1597,1610,1656,1682,9692,1715,1610,1648,1614,1587,1518,5419,1503,1472,1246,1198,7071,1171,1304,1458,1533,1605,18454,1658,1649,1759,1793,1877,2056,1954,1926,1927,1855,25384,1811,1838,1767,1730,1708,1822,1713,1641,1462,1471,1585,1601,1634,1764,1837,26659,1825,1912,1965,1930,1922,1993,1970,1780,1708,1759,1685,1595,1561,1519,1535,13832,1412,1380,1396,1324,1356,1331,1489,1297,1412,1435,8786,1133,1251,1094,994,831,769,730,754,632,598,2975,482,433,433,309,308,1010,68278,3761,713,730,797,774,747,3986,757,795,800,799,835,4746,835,764,816,782,802,747,2706,779,728,607,592,3532,567,667,693,772,833,9512,804,850,915,964,955,1052,1038,967,1010,957,12781,911,955,865,873,884,937,867,837,738,756,792,770,816,870,910,13448,899,948,1003,1030,970,1019,981,873,865,887,822,786,800,777,788,7117,715,690,701,650,713,701,754,698,767,728,4797,616,654,581,544,417,447,402,427,358,351,1892,282,271,256,191,199,693,65911,3991,761,785,811,799,835,4179,863,802,810,857,847,4946,880,846,832,832,785,771,2713,724,744,639,606,3539,604,637,765,761,772,8942,854,799,844,829,922,1004,916,959,917,898,12603,900,883,902,857,824,885,846,804,724,715,793,831,818,894,927,13211,926,964,962,900,952,974,989,907,843,872,863,809,761,742,747,6715,697,690,695,674,643,630,735,599,645,707,3989,517,597,513,450,414,322,328,327,274,247,1083,200,162,177,118,109,317
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+"2021","North Hertfordshire","E07000099",133209,7466,1409,1518,1507,1514,1518,8237,1623,1540,1666,1693,1715,9761,1728,1698,1647,1652,1544,1492,5162,1526,1472,1193,971,5839,902,1001,1171,1347,1418,16309,1410,1443,1483,1630,1665,1688,1706,1710,1795,1779,27945,1777,1728,1863,1756,1889,1984,1997,1868,1812,1739,1762,1939,1903,1892,2036,26656,1887,1832,1948,1875,1925,2078,1916,1884,1820,1729,1686,1607,1600,1446,1423,13292,1376,1340,1296,1298,1234,1288,1323,1291,1435,1411,8676,1004,1152,1025,1007,825,767,725,761,718,692,3866,607,562,487,422,378,1410,68474,3664,697,725,752,773,717,3987,767,747,826,798,849,4796,851,822,811,801,748,763,2506,755,706,595,450,2948,426,516,607,692,707,8381,681,734,746,818,851,873,887,912,927,952,14551,916,899,985,925,967,1082,1038,987,904,915,910,1003,965,961,1094,13480,983,910,994,920,1002,1081,991,944,916,862,834,802,775,717,749,6976,686,703,652,692,649,669,689,710,758,768,4752,523,603,572,506,466,409,430,448,393,402,2433,350,335,293,256,243,956,64735,3802,712,793,755,741,801,4250,856,793,840,895,866,4965,877,876,836,851,796,729,2656,771,766,598,521,2891,476,485,564,655,711,7928,729,709,737,812,814,815,819,798,868,827,13394,861,829,878,831,922,902,959,881,908,824,852,936,938,931,942,13176,904,922,954,955,923,997,925,940,904,867,852,805,825,729,674,6316,690,637,644,606,585,619,634,581,677,643,3924,481,549,453,501,359,358,295,313,325,290,1433,257,227,194,166,135,454
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+"2021","Great Yarmouth","E07000145",99738,4950,922,951,981,1017,1079,5363,1020,1087,1053,1105,1098,6709,1152,1175,1097,1159,1091,1035,4073,1052,1095,1029,897,5025,856,972,1062,1044,1091,11693,1119,1090,1072,1234,1196,1193,1191,1195,1181,1222,16882,1162,1096,1141,1087,1109,1086,1143,1102,963,1026,1123,1088,1162,1276,1318,21105,1379,1402,1448,1429,1471,1415,1551,1545,1450,1388,1354,1320,1361,1311,1281,12772,1237,1260,1219,1232,1211,1218,1224,1305,1380,1486,8202,1089,1126,1038,949,817,704,664,696,595,524,2964,451,407,366,335,316,1089,50846,2383,449,468,456,482,528,2593,525,525,509,547,487,3274,546,580,551,546,539,512,1974,507,538,493,436,2489,408,468,531,520,562,6001,551,544,564,633,633,630,608,609,618,611,8635,581,567,538,603,582,564,556,526,493,544,564,572,613,660,672,10910,712,706,757,744,760,749,807,824,745,708,689,656,710,661,682,6449,617,612,607,657,581,649,611,657,668,790,4326,569,591,549,493,430,381,335,364,309,305,1812,262,235,216,199,190,710,48892,2567,473,483,525,535,551,2770,495,562,544,558,611,3435,606,595,546,613,552,523,2099,545,557,536,461,2536,448,504,531,524,529,5692,568,546,508,601,563,563,583,586,563,611,8247,581,529,603,484,527,522,587,576,470,482,559,516,549,616,646,10195,667,696,691,685,711,666,744,721,705,680,665,664,651,650,599,6323,620,648,612,575,630,569,613,648,712,696,3876,520,535,489,456,387,323,329,332,286,219,1152,189,172,150,136,126,379
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+"2021","North Norfolk","E07000147",102985,3668,629,695,730,789,825,4425,841,858,875,870,981,5748,977,946,989,957,945,934,3472,983,943,851,695,3883,648,717,765,868,885,8937,817,878,862,862,890,918,927,892,959,932,14608,934,926,916,906,893,949,874,836,862,977,952,983,1065,1187,1348,23744,1341,1375,1375,1428,1548,1544,1610,1700,1591,1676,1719,1674,1764,1745,1654,17793,1630,1653,1663,1687,1710,1701,1819,1807,2007,2116,11782,1547,1549,1478,1338,1107,989,993,947,973,861,4925,802,691,600,567,467,1798,52681,1735,298,295,352,412,378,2122,396,417,426,406,477,2754,487,470,451,452,457,437,1616,449,452,371,344,1867,303,334,381,424,425,4453,421,420,435,434,449,469,437,468,458,462,7493,480,456,487,441,455,472,466,444,438,494,489,493,547,655,676,12342,673,685,693,761,810,801,839,922,841,857,898,907,929,876,850,9171,842,849,890,892,871,852,915,918,1034,1108,6200,823,764,737,703,575,550,539,513,540,456,2928,447,381,314,362,262,1162,50304,1933,331,400,378,377,447,2303,445,441,449,464,504,2994,490,476,538,505,488,497,1856,534,491,480,351,2016,345,383,384,444,460,4484,396,458,427,428,441,449,490,424,501,470,7115,454,470,429,465,438,477,408,392,424,483,463,490,518,532,672,11402,668,690,682,667,738,743,771,778,750,819,821,767,835,869,804,8622,788,804,773,795,839,849,904,889,973,1008,5582,724,785,741,635,532,439,454,434,433,405,1997,355,310,286,205,205,636
+"2021","Norwich","E07000148",143924,6931,1340,1339,1415,1389,1448,7598,1488,1492,1456,1612,1550,8631,1533,1505,1467,1466,1373,1287,8976,1249,1312,2351,4064,16471,4326,3806,3091,2662,2586,23741,2394,2301,2463,2476,2427,2435,2399,2311,2350,2185,27618,2183,2062,2191,1977,2004,1939,1880,1861,1685,1611,1561,1644,1750,1660,1610,22445,1668,1600,1696,1564,1724,1547,1702,1518,1498,1507,1394,1322,1258,1205,1242,11469,1182,1228,1132,1168,1119,1128,1052,1107,1194,1159,6924,898,897,852,782,652,648,615,553,540,487,3120,442,419,387,340,295,1237,72852,3331,639,597,701,673,721,3712,729,728,687,780,788,4268,730,755,722,723,678,660,4555,602,592,1186,2175,8770,2315,2046,1626,1412,1371,11869,1210,1195,1232,1264,1197,1182,1157,1142,1206,1084,13350,1079,992,1109,932,964,937,909,899,798,775,777,810,839,783,747,11136,821,779,833,757,843,755,814,747,729,770,678,662,659,628,661,6027,636,630,577,653,564,576,545,558,650,638,3798,481,492,463,427,339,361,336,322,313,264,2036,267,239,239,221,194,876,71072,3600,701,742,714,716,727,3886,759,764,769,832,762,4363,803,750,745,743,695,627,4421,647,720,1165,1889,7701,2011,1760,1465,1250,1215,11872,1184,1106,1231,1212,1230,1253,1242,1169,1144,1101,14268,1104,1070,1082,1045,1040,1002,971,962,887,836,784,834,911,877,863,11309,847,821,863,807,881,792,888,771,769,737,716,660,599,577,581,5442,546,598,555,515,555,552,507,549,544,521,3126,417,405,389,355,313,287,279,231,227,223,1084,175,180,148,119,101,361
+"2021","South Norfolk","E07000149",141944,6987,1259,1307,1398,1450,1573,8108,1584,1576,1538,1705,1705,9633,1609,1613,1673,1570,1612,1556,5346,1538,1585,1233,990,5975,1007,1097,1235,1273,1363,15471,1383,1437,1497,1466,1519,1585,1603,1654,1658,1669,26055,1769,1648,1696,1629,1743,1797,1716,1645,1584,1581,1703,1713,1851,1863,2117,29857,2025,1957,2027,2076,2027,2166,2172,2082,1996,2075,1943,1899,1807,1856,1749,17885,1712,1715,1687,1722,1607,1646,1744,1828,2068,2156,11923,1498,1656,1485,1376,1111,994,1028,1031,907,837,4704,769,656,573,526,448,1732,72710,3368,618,639,665,696,750,4031,754,779,789,857,852,4658,782,789,803,774,781,729,2560,730,778,583,469,2892,470,509,629,625,659,8115,746,734,777,750,789,847,849,866,830,927,13433,928,827,878,821,918,931,862,837,794,827,868,906,934,978,1124,15299,1020,994,1011,1091,1034,1086,1158,1033,1031,1067,995,988,935,944,912,9265,870,895,840,931,836,835,894,970,1082,1112,6218,759,880,779,681,593,539,515,541,479,452,2871,428,385,333,308,288,1129,69234,3619,641,668,733,754,823,4077,830,797,749,848,853,4975,827,824,870,796,831,827,2786,808,807,650,521,3083,537,588,606,648,704,7356,637,703,720,716,730,738,754,788,828,742,12622,841,821,818,808,825,866,854,808,790,754,835,807,917,885,993,14558,1005,963,1016,985,993,1080,1014,1049,965,1008,948,911,872,912,837,8620,842,820,847,791,771,811,850,858,986,1044,5705,739,776,706,695,518,455,513,490,428,385,1833,341,271,240,218,160,603
+"2021","Babergh","E07000200",92336,3972,713,815,760,870,814,4752,1009,871,904,964,1004,6240,1013,987,1059,1097,1020,1064,3698,1082,1069,861,686,4010,652,749,808,900,901,9068,830,853,885,809,910,973,957,929,983,939,15602,883,926,970,952,956,1088,1044,1023,958,1004,1012,1102,1146,1262,1276,20461,1344,1337,1378,1358,1509,1473,1467,1506,1360,1383,1389,1202,1265,1271,1219,12784,1269,1145,1170,1184,1181,1234,1330,1257,1560,1454,8577,1119,1182,1049,949,843,790,712,710,626,597,3172,493,462,367,339,301,1210,47528,1942,365,401,362,396,418,2353,513,423,469,463,485,3034,490,481,502,538,482,541,1834,538,535,421,340,1935,307,363,394,426,445,4622,422,415,444,423,445,502,496,465,521,489,8066,454,510,503,475,505,550,567,521,500,520,511,548,604,636,662,10553,693,700,735,733,783,760,748,774,677,711,729,605,616,652,637,6715,690,608,590,645,600,628,686,681,815,772,4501,580,597,575,484,459,407,364,370,327,338,1973,280,278,205,198,195,817,44808,2030,348,414,398,474,396,2399,496,448,435,501,519,3206,523,506,557,559,538,523,1864,544,534,440,346,2075,345,386,414,474,456,4446,408,438,441,386,465,471,461,464,462,450,7536,429,416,467,477,451,538,477,502,458,484,501,554,542,626,614,9908,651,637,643,625,726,713,719,732,683,672,660,597,649,619,582,6069,579,537,580,539,581,606,644,576,745,682,4076,539,585,474,465,384,383,348,340,299,259,1199,213,184,162,141,106,393
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+"2021","St Albans","E07000240",148160,8659,1493,1689,1783,1769,1925,10326,2014,1938,2028,2089,2257,13090,2200,2234,2306,2211,2130,2009,6250,1984,1981,1441,844,5943,832,1019,1232,1423,1437,16099,1433,1507,1461,1472,1558,1619,1680,1738,1806,1825,33142,1826,1873,2007,1977,2141,2248,2375,2352,2286,2291,2409,2317,2342,2380,2318,29160,2362,2247,2181,2238,2219,2196,2085,2012,1887,1797,1807,1609,1546,1507,1467,12993,1396,1262,1326,1270,1181,1264,1305,1201,1344,1444,8537,1103,1083,1020,951,715,721,795,765,680,704,3961,588,532,506,440,400,1495,75865,4202,723,850,841,863,925,5124,1030,943,995,1043,1113,6360,1036,1104,1127,1095,1021,977,2991,929,973,681,408,2918,360,508,622,715,713,8277,689,756,759,760,774,832,867,912,952,976,17316,987,1030,1049,1067,1127,1226,1265,1225,1175,1158,1218,1194,1203,1235,1157,14730,1194,1135,1102,1103,1131,1088,1073,1021,972,930,891,812,788,775,715,6874,712,644,654,649,639,669,707,668,734,798,4657,572,584,539,521,389,416,417,430,390,399,2416,340,302,287,257,218,1012,72295,4457,770,839,942,906,1000,5202,984,995,1033,1046,1144,6730,1164,1130,1179,1116,1109,1032,3259,1055,1008,760,436,3025,472,511,610,708,724,7822,744,751,702,712,784,787,813,826,854,849,15826,839,843,958,910,1014,1022,1110,1127,1111,1133,1191,1123,1139,1145,1161,14430,1168,1112,1079,1135,1088,1108,1012,991,915,867,916,797,758,732,752,6119,684,618,672,621,542,595,598,533,610,646,3880,531,499,481,430,326,305,378,335,290,305,1545,248,230,219,183,182,483
+"2021","Welwyn Hatfield","E07000241",119840,6626,1237,1304,1321,1384,1380,7279,1445,1418,1423,1493,1500,8447,1447,1420,1476,1424,1320,1360,6710,1290,1354,1673,2393,10577,2392,2286,2258,1903,1738,15967,1575,1601,1507,1590,1523,1576,1663,1619,1651,1662,23783,1595,1686,1628,1704,1660,1773,1691,1575,1486,1486,1510,1455,1436,1519,1579,21642,1619,1485,1519,1531,1560,1570,1603,1483,1496,1446,1386,1335,1308,1178,1123,9582,1092,1009,987,881,922,893,875,879,983,1061,6240,716,823,727,671,574,554,587,563,519,506,2987,452,419,369,329,286,1132,60934,3180,574,639,644,665,658,3557,719,685,697,746,710,4176,741,695,743,700,641,656,3425,613,689,855,1268,5137,1218,1125,1090,914,790,8134,772,779,717,807,790,785,873,857,876,878,12188,866,889,857,876,868,920,824,775,751,739,767,738,697,812,809,10834,785,740,724,784,768,833,826,738,775,732,680,672,633,581,563,4945,548,531,494,437,494,449,457,466,506,563,3502,395,437,404,371,330,314,346,314,299,292,1856,266,247,220,191,174,758,58906,3446,663,665,677,719,722,3722,726,733,726,747,790,4271,706,725,733,724,679,704,3285,677,665,818,1125,5440,1174,1161,1168,989,948,7833,803,822,790,783,733,791,790,762,775,784,11595,729,797,771,828,792,853,867,800,735,747,743,717,739,707,770,10808,834,745,795,747,792,737,777,745,721,714,706,663,675,597,560,4637,544,478,493,444,428,444,418,413,477,498,2738,321,386,323,300,244,240,241,249,220,214,1131,186,172,149,138,112,374
+"2021","East Hertfordshire","E07000242",150166,8315,1560,1621,1697,1667,1770,8931,1723,1764,1722,1810,1912,11759,2011,2032,1913,1897,1955,1951,6242,1825,1892,1461,1064,6973,1055,1248,1501,1571,1598,18464,1682,1672,1766,1847,1899,1891,1890,1975,1921,1921,30763,1909,1927,1894,1887,2040,2093,2135,2047,1948,1902,2052,2093,2224,2289,2323,31322,2275,2212,2321,2326,2258,2328,2271,2206,2078,2106,1955,1811,1787,1764,1624,14608,1521,1469,1440,1435,1272,1407,1417,1450,1620,1577,8947,1090,1235,1073,1015,809,768,825,747,740,645,3842,609,542,517,461,378,1335,76666,3982,744,760,813,798,867,4326,837,824,847,863,955,5789,1008,962,918,1001,950,950,3010,909,914,708,479,3427,501,601,751,747,827,9551,854,841,882,979,968,990,993,1016,1015,1013,15877,968,1021,985,994,1081,1089,1092,1055,1002,1013,1066,1087,1064,1199,1161,15844,1174,1145,1203,1187,1158,1161,1151,1090,1065,1086,1007,894,891,852,780,7585,762,729,754,725,656,729,752,769,857,852,4876,586,655,570,550,448,423,449,421,421,353,2399,359,335,300,288,230,887,73500,4333,816,861,884,869,903,4605,886,940,875,947,957,5970,1003,1070,995,896,1005,1001,3232,916,978,753,585,3546,554,647,750,824,771,8913,828,831,884,868,931,901,897,959,906,908,14886,941,906,909,893,959,1004,1043,992,946,889,986,1006,1160,1090,1162,15478,1101,1067,1118,1139,1100,1167,1120,1116,1013,1020,948,917,896,912,844,7023,759,740,686,710,616,678,665,681,763,725,4071,504,580,503,465,361,345,376,326,319,292,1443,250,207,217,173,148,448
+"2021","Stevenage","E07000243",89500,5618,1056,1062,1176,1133,1191,5924,1157,1128,1179,1233,1227,6717,1201,1182,1103,1125,1084,1022,3719,990,1051,910,768,4792,815,866,979,1000,1132,13538,1133,1115,1270,1322,1396,1446,1455,1462,1460,1479,18234,1396,1404,1362,1319,1304,1308,1287,1130,1107,1121,1064,1045,1118,1097,1172,17411,1251,1158,1255,1257,1292,1243,1285,1290,1255,1141,1080,1021,1034,944,905,7213,853,814,718,716,648,619,691,651,774,729,4368,552,522,521,503,401,373,411,355,381,349,1966,314,299,232,213,200,708,45338,2677,527,490,577,518,565,2933,573,564,570,601,625,3197,560,585,538,505,497,512,1703,457,487,409,350,2298,383,395,495,481,544,7026,547,567,625,707,732,787,764,786,735,776,9296,727,718,731,668,656,671,634,589,546,547,558,531,550,561,609,8746,653,597,635,646,625,646,625,637,628,574,543,523,517,444,453,3692,401,408,353,346,343,339,361,333,412,396,2497,309,305,269,272,235,218,232,199,251,207,1273,193,190,141,143,126,480,44162,2941,529,572,599,615,626,2991,584,564,609,632,602,3520,641,597,565,620,587,510,2016,533,564,501,418,2494,432,471,484,519,588,6512,586,548,645,615,664,659,691,676,725,703,8938,669,686,631,651,648,637,653,541,561,574,506,514,568,536,563,8665,598,561,620,611,667,597,660,653,627,567,537,498,517,500,452,3521,452,406,365,370,305,280,330,318,362,333,1871,243,217,252,231,166,155,179,156,130,142,693,121,109,91,70,74,228
+"2021","East Suffolk","E07000244",246064,10632,1872,2038,2150,2277,2295,12504,2382,2466,2375,2595,2686,16201,2690,2700,2746,2722,2700,2643,9616,2630,2679,2400,1907,10717,1855,1994,2195,2375,2298,24519,2351,2379,2374,2436,2409,2416,2483,2586,2608,2477,39607,2431,2464,2386,2427,2556,2650,2670,2523,2421,2367,2577,2728,2959,3169,3279,53958,3402,3408,3549,3604,3682,3809,3820,3761,3662,3618,3666,3528,3514,3565,3370,35254,3300,3195,3412,3305,3369,3339,3484,3629,4111,4110,23328,3143,3087,2817,2660,2276,1934,2029,1912,1829,1641,9728,1483,1319,1189,1056,915,3766,126231,5250,934,1027,1061,1113,1115,6115,1190,1184,1184,1269,1288,7965,1293,1335,1364,1336,1340,1297,4627,1284,1324,1123,896,5170,878,946,1103,1154,1089,12414,1171,1177,1170,1259,1199,1282,1229,1327,1310,1290,20312,1223,1267,1215,1292,1283,1349,1355,1256,1269,1181,1294,1467,1533,1612,1716,27713,1817,1684,1880,1836,1863,1981,1958,1929,1857,1861,1903,1809,1780,1818,1737,18325,1733,1649,1729,1711,1785,1738,1839,1845,2111,2185,12409,1603,1604,1496,1387,1254,1027,1086,1029,983,940,5931,831,741,699,613,572,2475,119833,5382,938,1011,1089,1164,1180,6389,1192,1282,1191,1326,1398,8236,1397,1365,1382,1386,1360,1346,4989,1346,1355,1277,1011,5547,977,1048,1092,1221,1209,12105,1180,1202,1204,1177,1210,1134,1254,1259,1298,1187,19295,1208,1197,1171,1135,1273,1301,1315,1267,1152,1186,1283,1261,1426,1557,1563,26245,1585,1724,1669,1768,1819,1828,1862,1832,1805,1757,1763,1719,1734,1747,1633,16929,1567,1546,1683,1594,1584,1601,1645,1784,2000,1925,10919,1540,1483,1321,1273,1022,907,943,883,846,701,3797,652,578,490,443,343,1291
+"2021","West Suffolk","E07000245",179942,9829,1846,1953,2018,1966,2046,10305,1989,2003,2062,2077,2174,11687,2030,1986,2032,1973,1822,1844,6936,1761,1863,1710,1602,10541,1698,2000,2303,2281,2259,25480,2341,2450,2706,2474,2616,2743,2626,2507,2530,2487,33273,2356,2351,2417,2257,2223,2317,2232,2195,1909,2067,2001,2088,2197,2307,2356,34531,2434,2366,2543,2468,2478,2514,2370,2560,2288,2296,2173,2156,2034,1999,1852,19245,1772,1787,1922,1796,1839,1814,1885,1941,2245,2244,13151,1679,1681,1625,1464,1268,1131,1165,1147,1067,924,4964,845,685,577,541,470,1846,89833,4696,832,879,1030,955,1000,5034,948,994,1031,1006,1055,5679,948,948,1034,964,903,882,3312,880,917,795,720,4624,723,825,1005,1035,1036,12386,1125,1161,1253,1228,1259,1264,1338,1248,1308,1202,16544,1183,1237,1126,1093,1120,1136,1088,1068,990,998,1003,1055,1146,1140,1161,17347,1209,1142,1254,1321,1248,1256,1174,1350,1119,1159,1071,1062,1070,955,957,10115,948,940,998,932,929,913,985,1048,1212,1210,7053,883,897,894,802,683,630,598,596,571,499,3043,494,384,346,309,265,1245,90109,5133,1014,1074,988,1011,1046,5271,1041,1009,1031,1071,1119,6008,1082,1038,998,1009,919,962,3624,881,946,915,882,5917,975,1175,1298,1246,1223,13094,1216,1289,1453,1246,1357,1479,1288,1259,1222,1285,16729,1173,1114,1291,1164,1103,1181,1144,1127,919,1069,998,1033,1051,1167,1195,17184,1225,1224,1289,1147,1230,1258,1196,1210,1169,1137,1102,1094,964,1044,895,9130,824,847,924,864,910,901,900,893,1033,1034,6098,796,784,731,662,585,501,567,551,496,425,1921,351,301,231,232,205,601
+"2021","City of London","E09000001",8584,214,44,57,34,39,40,165,27,28,40,31,39,206,50,42,34,22,26,32,182,35,37,60,50,965,113,131,193,307,221,2217,245,262,240,227,241,243,201,211,188,159,1818,175,152,129,138,134,113,108,103,117,106,108,97,105,100,133,1613,123,137,142,141,96,113,98,111,96,98,102,95,83,101,77,712,89,81,67,75,82,56,64,60,77,61,375,49,53,46,34,28,46,42,28,27,22,117,18,18,13,11,17,40,3862,114,16,30,19,26,23,77,13,16,20,12,16,94,21,23,19,8,12,11,99,20,23,29,27,489,54,68,92,158,117,1025,109,112,122,104,117,105,92,104,86,74,718,73,69,55,58,48,45,47,46,42,40,49,37,32,40,37,640,54,38,52,61,34,49,43,48,41,44,39,33,37,37,30,354,45,45,33,30,38,26,35,32,44,26,185,25,21,23,17,16,27,23,12,12,9,67,12,8,12,5,10,20,4722,100,28,27,15,13,17,88,14,12,20,19,23,112,29,19,15,14,14,21,83,15,14,31,23,476,59,63,101,149,104,1192,136,150,118,123,124,138,109,107,102,85,1100,102,83,74,80,86,68,61,57,75,66,59,60,73,60,96,973,69,99,90,80,62,64,55,63,55,54,63,62,46,64,47,358,44,36,34,45,44,30,29,28,33,35,190,24,32,23,17,12,19,19,16,15,13,50,6,10,1,6,7,20
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+"2021","Wokingham","E06000041",177502,9849,1720,1860,1966,2129,2174,12187,2329,2292,2315,2585,2666,14640,2608,2543,2530,2468,2314,2177,7919,2274,2138,1951,1556,8239,1362,1553,1708,1820,1796,20126,1812,1824,1890,1919,2003,1915,2126,2116,2234,2287,39672,2357,2395,2468,2579,2673,2789,2940,2692,2705,2736,2594,2623,2716,2697,2708,34318,2604,2531,2489,2460,2515,2432,2485,2458,2282,2266,2139,1978,1989,1954,1736,15862,1658,1599,1506,1510,1537,1461,1537,1547,1764,1743,10363,1298,1355,1308,1107,1025,902,907,913,798,750,4327,685,610,547,509,438,1538,90281,4720,824,873,936,1013,1074,5959,1134,1112,1148,1253,1312,7064,1261,1184,1215,1172,1171,1061,3911,1125,1002,1000,784,4074,631,775,843,927,898,10461,899,936,947,976,1025,1024,1115,1114,1191,1234,20325,1241,1257,1367,1350,1418,1450,1483,1367,1412,1378,1274,1325,1318,1338,1347,17231,1268,1244,1215,1291,1250,1233,1263,1285,1132,1148,1082,981,1009,946,884,8261,809,814,774,759,818,787,839,809,894,958,5601,716,705,702,616,518,486,498,528,438,394,2674,395,355,340,308,265,1011,87221,5129,896,987,1030,1116,1100,6228,1195,1180,1167,1332,1354,7576,1347,1359,1315,1296,1143,1116,4008,1149,1136,951,772,4165,731,778,865,893,898,9665,913,888,943,943,978,891,1011,1002,1043,1053,19347,1116,1138,1101,1229,1255,1339,1457,1325,1293,1358,1320,1298,1398,1359,1361,17087,1336,1287,1274,1169,1265,1199,1222,1173,1150,1118,1057,997,980,1008,852,7601,849,785,732,751,719,674,698,738,870,785,4762,582,650,606,491,507,416,409,385,360,356,1653,290,255,207,201,173,527
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+"2021","Oxford","E07000178",162032,7137,1382,1476,1458,1334,1487,7849,1538,1456,1548,1593,1714,10333,1714,1642,1727,1821,1746,1683,14191,1719,1789,3748,6935,21986,5560,5228,4423,3551,3224,28671,3224,3155,3087,3021,2875,2872,2758,2588,2602,2489,29447,2435,2228,2192,2057,2085,2063,2072,1967,1782,1759,1668,1746,1769,1769,1855,23449,1702,1839,1815,1782,1669,1675,1677,1685,1584,1578,1343,1376,1217,1330,1177,10089,1130,1049,1050,1019,976,994,1004,958,958,951,6111,702,784,723,709,625,524,574,555,483,432,2769,393,368,339,320,280,1069,82413,3441,657,732,752,609,691,3788,727,715,755,770,821,4945,848,793,778,848,885,793,7273,852,842,1913,3666,11184,2990,2676,2167,1726,1625,14385,1682,1529,1555,1536,1402,1427,1380,1250,1354,1270,14878,1208,1139,1113,1003,1079,1019,1024,1029,871,908,829,858,943,888,967,12066,860,912,969,911,846,827,893,897,783,844,741,719,610,670,584,5280,551,531,561,592,502,518,536,504,478,507,3454,378,424,400,404,349,312,342,313,282,250,1719,216,205,206,194,162,736,79619,3696,725,744,706,725,796,4061,811,741,793,823,893,5388,866,849,949,973,861,890,6918,867,947,1835,3269,10802,2570,2552,2256,1825,1599,14286,1542,1626,1532,1485,1473,1445,1378,1338,1248,1219,14569,1227,1089,1079,1054,1006,1044,1048,938,911,851,839,888,826,881,888,11383,842,927,846,871,823,848,784,788,801,734,602,657,607,660,593,4809,579,518,489,427,474,476,468,454,480,444,2657,324,360,323,305,276,212,232,242,201,182,1050,177,163,133,126,118,333
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+"2021","Vale of White Horse","E07000180",138906,7800,1397,1577,1564,1568,1694,8368,1645,1657,1672,1649,1745,10320,1731,1691,1750,1736,1733,1679,5667,1658,1621,1378,1010,6250,969,1071,1290,1452,1468,17885,1591,1582,1653,1762,1801,1861,1844,1929,1950,1912,27745,1912,1888,1934,1910,1832,1917,1930,1772,1750,1744,1759,1807,1839,1885,1866,27409,1854,1906,1976,1952,1912,1980,1987,1906,1938,1772,1772,1642,1722,1621,1469,14229,1465,1393,1427,1332,1347,1379,1370,1467,1542,1507,9310,1144,1300,1119,1010,892,806,861,766,712,700,3923,616,577,475,418,366,1471,69955,3779,673,766,757,745,838,4090,781,849,826,815,819,4809,805,790,861,832,769,752,2595,777,744,613,461,2963,438,502,605,711,707,9045,773,782,814,889,891,974,927,981,1000,1014,14088,974,991,990,941,949,1000,974,888,884,892,855,922,931,949,948,13912,967,969,1006,1001,958,978,973,967,995,872,908,828,933,804,753,7227,736,682,759,667,673,700,691,740,793,786,5033,607,675,622,559,466,446,458,409,400,391,2414,354,329,283,250,241,957,68951,4021,724,811,807,823,856,4278,864,808,846,834,926,5511,926,901,889,904,964,927,3072,881,877,765,549,3287,531,569,685,741,761,8840,818,800,839,873,910,887,917,948,950,898,13657,938,897,944,969,883,917,956,884,866,852,904,885,908,936,918,13497,887,937,970,951,954,1002,1014,939,943,900,864,814,789,817,716,7002,729,711,668,665,674,679,679,727,749,721,4277,537,625,497,451,426,360,403,357,312,309,1509,262,248,192,168,125,514
+"2021","West Oxfordshire","E07000181",114236,5721,1077,1139,1188,1095,1222,6580,1249,1250,1257,1421,1403,8128,1401,1429,1359,1348,1336,1255,4519,1282,1272,1107,858,5321,834,908,1093,1262,1224,13691,1256,1267,1314,1350,1437,1397,1404,1406,1450,1410,21441,1338,1395,1387,1423,1459,1490,1425,1406,1351,1325,1365,1347,1511,1542,1677,24087,1733,1609,1616,1660,1745,1693,1699,1784,1685,1638,1578,1488,1414,1409,1336,12689,1276,1266,1235,1249,1178,1245,1247,1284,1419,1290,8451,1106,1165,1014,979,770,732,776,699,629,581,3608,578,480,448,378,357,1367,58100,2828,512,570,564,552,630,3138,580,625,577,682,674,3984,702,704,679,622,664,613,2128,603,610,512,403,2397,365,361,523,610,538,6798,585,613,651,666,706,716,717,723,703,718,11043,686,720,723,717,711,746,767,716,717,679,699,726,763,790,883,12275,895,809,849,815,931,876,857,931,843,800,808,752,718,719,672,6690,672,639,662,646,630,641,677,680,740,703,4582,583,630,561,509,403,419,428,389,355,305,2237,315,288,269,240,212,913,56136,2893,565,569,624,543,592,3442,669,625,680,739,729,4144,699,725,680,726,672,642,2391,679,662,595,455,2924,469,547,570,652,686,6893,671,654,663,684,731,681,687,683,747,692,10398,652,675,664,706,748,744,658,690,634,646,666,621,748,752,794,11812,838,800,767,845,814,817,842,853,842,838,770,736,696,690,664,5999,604,627,573,603,548,604,570,604,679,587,3869,523,535,453,470,367,313,348,310,274,276,1371,263,192,179,138,145,454
+"2021","Elmbridge","E07000207",138752,8347,1525,1589,1654,1759,1820,9863,1894,1832,1983,2011,2143,11771,2120,2010,1952,1982,1874,1833,5601,1812,1752,1289,748,5133,697,897,1112,1208,1219,13491,1194,1189,1180,1160,1285,1415,1441,1511,1527,1589,31723,1647,1677,1783,2036,2044,2170,2319,2247,2203,2308,2214,2272,2285,2311,2207,28002,2242,2129,2144,2098,1996,2025,2051,1892,1914,1860,1762,1588,1545,1460,1296,12556,1274,1265,1246,1230,1245,1183,1171,1258,1335,1349,8199,1004,1044,992,942,737,725,716,724,671,644,4066,595,538,456,430,409,1638,71737,4015,749,729,817,844,876,4927,962,923,965,1007,1070,5715,1032,978,928,979,907,891,2708,901,864,607,336,2512,315,441,526,623,607,7068,618,607,597,613,658,756,760,810,791,858,16667,891,926,993,1113,1092,1198,1236,1185,1104,1176,1164,1160,1150,1175,1104,14332,1174,1106,1101,1097,1013,1016,1025,994,991,939,902,824,789,722,639,6576,643,645,637,674,653,621,625,669,708,701,4625,528,566,543,508,429,419,412,440,391,389,2592,353,326,276,233,269,1135,67015,4332,776,860,837,915,944,4936,932,909,1018,1004,1073,6056,1088,1032,1024,1003,967,942,2893,911,888,682,412,2621,382,456,586,585,612,6423,576,582,583,547,627,659,681,701,736,731,15056,756,751,790,923,952,972,1083,1062,1099,1132,1050,1112,1135,1136,1103,13670,1068,1023,1043,1001,983,1009,1026,898,923,921,860,764,756,738,657,5980,631,620,609,556,592,562,546,589,627,648,3574,476,478,449,434,308,306,304,284,280,255,1474,242,212,180,197,140,503
+"2021","Epsom and Ewell","E07000208",80921,4627,868,851,899,981,1028,5323,1014,1026,1053,1097,1133,6379,1068,1075,1085,1078,1032,1041,3575,1041,1002,861,671,3965,709,798,835,804,819,8794,782,779,818,811,830,914,961,931,985,983,17935,980,1089,1089,1191,1243,1239,1303,1255,1217,1207,1229,1228,1203,1232,1230,15710,1190,1125,1154,1196,1174,1185,1069,1107,1086,1015,976,912,874,820,827,7550,745,734,689,721,716,712,781,768,827,857,4945,604,655,579,572,487,457,459,404,382,346,2118,333,278,253,242,227,785,41728,2224,412,404,451,468,489,2618,503,501,510,545,559,3068,528,515,547,506,479,493,1783,507,479,433,364,2018,343,419,443,405,408,4626,424,382,454,427,419,496,494,503,525,502,9315,527,593,600,620,658,658,685,680,632,602,591,613,605,660,591,7973,637,553,605,606,594,607,523,528,548,529,502,485,450,393,413,3998,365,409,376,380,385,373,419,410,435,446,2777,311,370,319,323,274,255,270,238,224,193,1328,185,168,153,142,136,544,39193,2403,456,447,448,513,539,2705,511,525,543,552,574,3311,540,560,538,572,553,548,1792,534,523,428,307,1947,366,379,392,399,411,4168,358,397,364,384,411,418,467,428,460,481,8620,453,496,489,571,585,581,618,575,585,605,638,615,598,572,639,7737,553,572,549,590,580,578,546,579,538,486,474,427,424,427,414,3552,380,325,313,341,331,339,362,358,392,411,2168,293,285,260,249,213,202,189,166,158,153,790,148,110,100,100,91,241
+"2021","Guildford","E07000209",143645,6682,1241,1280,1401,1326,1434,7809,1496,1477,1524,1632,1680,9800,1714,1603,1685,1695,1572,1531,9235,1645,1793,2449,3348,13147,3158,2812,3020,2270,1887,17226,1787,1721,1641,1749,1683,1667,1771,1782,1725,1700,27423,1680,1744,1728,1757,1752,1870,1839,1831,1844,1745,1840,1877,1934,2006,1976,27162,1999,1918,1931,1957,1919,2019,2025,1955,1845,1818,1683,1657,1535,1480,1421,13028,1358,1366,1267,1243,1198,1199,1287,1318,1392,1400,8314,1051,1085,1021,899,765,721,777,726,643,626,3819,579,519,445,416,373,1487,72920,3278,627,628,652,633,738,3776,719,716,753,788,800,4804,801,802,802,820,766,813,4454,829,799,1180,1646,6523,1553,1379,1520,1122,949,8580,859,789,816,877,819,858,881,935,881,865,14068,842,897,895,928,919,954,961,945,968,854,953,978,956,1014,1004,13749,1007,978,945,978,953,1058,1027,988,928,920,839,842,816,722,748,6748,697,694,656,622,597,643,678,740,699,722,4587,546,592,544,487,418,393,427,442,375,363,2353,323,300,255,241,235,999,70725,3404,614,652,749,693,696,4033,777,761,771,844,880,4996,913,801,883,875,806,718,4781,816,994,1269,1702,6624,1605,1433,1500,1148,938,8646,928,932,825,872,864,809,890,847,844,835,13355,838,847,833,829,833,916,878,886,876,891,887,899,978,992,972,13413,992,940,986,979,966,961,998,967,917,898,844,815,719,758,673,6280,661,672,611,621,601,556,609,578,693,678,3727,505,493,477,412,347,328,350,284,268,263,1466,256,219,190,175,138,488
+"2021","Mole Valley","E07000210",87388,4008,731,762,826,849,840,4681,884,895,915,944,1043,6363,1089,1024,1077,1092,1040,1041,3626,1070,1116,891,549,3662,521,639,833,847,822,8238,782,869,785,785,809,843,842,845,831,847,16387,918,929,963,954,1018,1069,1086,1072,1102,1129,1157,1191,1184,1237,1378,19666,1381,1257,1335,1392,1473,1461,1406,1415,1329,1294,1266,1245,1195,1127,1090,10332,1085,997,1042,1039,965,895,1049,972,1106,1182,7172,936,926,859,811,627,631,633,619,615,515,3253,476,454,413,382,329,1199,44886,2012,374,379,402,440,417,2301,437,449,454,431,530,3126,498,519,538,527,518,526,1801,515,590,438,258,1715,230,292,406,398,389,4142,350,434,422,386,396,438,429,426,423,438,8518,494,480,490,501,528,513,579,545,604,627,616,609,590,655,687,9964,717,645,680,689,734,743,695,731,711,661,648,634,572,560,544,5356,567,528,525,528,501,447,526,521,614,599,3933,507,479,461,422,363,355,364,354,361,267,2018,256,274,246,244,189,809,42502,1996,357,383,424,409,423,2380,447,446,461,513,513,3237,591,505,539,565,522,515,1825,555,526,453,291,1947,291,347,427,449,433,4096,432,435,363,399,413,405,413,419,408,409,7869,424,449,473,453,490,556,507,527,498,502,541,582,594,582,691,9702,664,612,655,703,739,718,711,684,618,633,618,611,623,567,546,4976,518,469,517,511,464,448,523,451,492,583,3239,429,447,398,389,264,276,269,265,254,248,1235,220,180,167,138,140,390
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+"2021","Bournemouth, Christchurch and Poole","E06000058",400198,18881,3678,3589,3745,3846,4023,21210,4177,4106,4117,4324,4486,25199,4405,4271,4261,4269,4136,3857,18400,4039,3933,4580,5848,26928,5884,5758,5550,4998,4738,50003,4630,4710,4700,4906,4896,5222,5244,5185,5356,5154,76361,5143,5196,5237,5303,5345,5516,5332,5125,4771,4670,4732,4860,4803,5051,5277,76787,5375,5308,5416,5360,5396,5395,5485,5250,5230,5166,4922,4741,4715,4548,4480,43414,4150,4151,4321,4037,4159,4164,4242,4372,4874,4944,29299,3667,3963,3506,3261,2696,2461,2569,2556,2375,2245,13716,1951,1867,1627,1545,1271,5455,204823,9192,1798,1745,1833,1852,1964,10375,2070,2065,1954,2122,2164,12249,2134,2078,2066,2058,2064,1849,9218,1986,1904,2371,2957,13508,3043,2888,2749,2451,2377,25511,2294,2382,2402,2515,2461,2684,2684,2687,2771,2631,38594,2740,2666,2670,2688,2683,2810,2622,2627,2367,2348,2338,2436,2434,2551,2614,38862,2704,2705,2679,2682,2689,2747,2808,2658,2660,2603,2478,2393,2409,2342,2305,22869,2114,2229,2238,2074,2226,2184,2253,2332,2597,2622,15858,1897,2113,1891,1724,1479,1310,1436,1434,1301,1273,8587,1080,1100,966,966,812,3663,195375,9689,1880,1844,1912,1994,2059,10835,2107,2041,2163,2202,2322,12950,2271,2193,2195,2211,2072,2008,9182,2053,2029,2209,2891,13420,2841,2870,2801,2547,2361,24492,2336,2328,2298,2391,2435,2538,2560,2498,2585,2523,37767,2403,2530,2567,2615,2662,2706,2710,2498,2404,2322,2394,2424,2369,2500,2663,37925,2671,2603,2737,2678,2707,2648,2677,2592,2570,2563,2444,2348,2306,2206,2175,20545,2036,1922,2083,1963,1933,1980,1989,2040,2277,2322,13441,1770,1850,1615,1537,1217,1151,1133,1122,1074,972,5129,871,767,661,579,459,1792
+"2021","Dorset","E06000059",379584,15024,2664,2867,3038,3181,3274,18162,3441,3395,3573,3815,3938,24497,3901,4019,4078,4242,4101,4156,14985,4197,4214,3744,2830,15295,2650,2811,3119,3276,3439,35084,3304,3334,3378,3345,3393,3641,3636,3618,3772,3663,58775,3613,3710,3554,3619,3829,3779,3942,3821,3566,3683,3786,3994,4291,4663,4925,85482,5093,5176,5459,5538,5649,5843,5853,6108,6013,5947,5861,5691,5859,5807,5585,57435,5286,5584,5511,5307,5329,5451,5897,5861,6575,6634,38629,4900,5339,4578,4389,3686,3402,3328,3245,3035,2727,16216,2422,2193,1948,1779,1578,6296,195172,7295,1214,1340,1479,1639,1623,8869,1645,1685,1774,1809,1956,12063,1933,2029,2060,2013,1957,2071,6929,1924,1997,1743,1265,7121,1172,1260,1484,1584,1621,17563,1562,1615,1683,1702,1736,1805,1827,1860,1968,1805,30467,1807,1951,1846,1908,1988,1958,2012,1922,1853,1907,1953,2059,2280,2389,2634,44425,2689,2681,2812,2925,2946,3080,3024,3140,3145,3037,3017,2969,3067,3003,2890,30008,2726,2916,2922,2766,2752,2863,3201,3052,3354,3456,20581,2580,2779,2453,2212,1996,1823,1830,1768,1665,1475,9851,1366,1247,1110,1064,969,4095,184412,7729,1450,1527,1559,1542,1651,9293,1796,1710,1799,2006,1982,12434,1968,1990,2018,2229,2144,2085,8056,2273,2217,2001,1565,8174,1478,1551,1635,1692,1818,17521,1742,1719,1695,1643,1657,1836,1809,1758,1804,1858,28308,1806,1759,1708,1711,1841,1821,1930,1899,1713,1776,1833,1935,2011,2274,2291,41057,2404,2495,2647,2613,2703,2763,2829,2968,2868,2910,2844,2722,2792,2804,2695,27427,2560,2668,2589,2541,2577,2588,2696,2809,3221,3178,18048,2320,2560,2125,2177,1690,1579,1498,1477,1370,1252,6365,1056,946,838,715,609,2201
+"2021","East Devon","E07000040",150825,6491,1192,1249,1315,1332,1403,7709,1512,1465,1492,1583,1657,9240,1578,1574,1525,1561,1504,1498,5592,1535,1553,1393,1111,6193,1121,1105,1272,1349,1346,14316,1308,1313,1363,1438,1470,1449,1521,1468,1527,1459,24027,1551,1502,1468,1509,1550,1621,1600,1556,1409,1494,1556,1638,1693,1892,1988,32036,1966,2053,2123,2160,2211,2161,2262,2206,2159,2152,2079,2134,2128,2116,2126,22247,2055,2011,2117,2094,2066,2128,2281,2317,2533,2645,15928,1999,2158,1889,1849,1467,1441,1376,1307,1247,1195,7046,1073,884,829,759,668,2833,78208,3195,595,606,610,647,737,3713,743,699,744,738,789,4499,751,782,764,763,703,736,2644,716,748,672,508,2819,467,500,572,637,643,7314,638,650,696,713,770,761,777,778,761,770,12415,786,746,765,796,806,872,828,774,687,804,806,836,868,979,1062,16898,1042,1106,1080,1114,1160,1134,1197,1171,1152,1117,1105,1124,1131,1147,1118,11755,1090,1079,1146,1131,1101,1084,1162,1256,1322,1384,8575,1062,1179,977,961,777,814,760,706,690,649,4381,633,521,478,466,397,1886,72617,3296,597,643,705,685,666,3996,769,766,748,845,868,4741,827,792,761,798,801,762,2948,819,805,721,603,3374,654,605,700,712,703,7002,670,663,667,725,700,688,744,690,766,689,11612,765,756,703,713,744,749,772,782,722,690,750,802,825,913,926,15138,924,947,1043,1046,1051,1027,1065,1035,1007,1035,974,1010,997,969,1008,10492,965,932,971,963,965,1044,1119,1061,1211,1261,7353,937,979,912,888,690,627,616,601,557,546,2665,440,363,351,293,271,947
+"2021","Exeter","E07000041",130712,5883,1163,1144,1180,1187,1209,6201,1281,1204,1217,1256,1243,7293,1242,1268,1236,1246,1126,1175,10591,1154,1175,3040,5222,16348,4978,4370,2955,2177,1868,17990,1842,1729,1745,1822,1820,1785,1850,1791,1788,1818,23166,1701,1709,1697,1698,1653,1534,1656,1557,1389,1295,1379,1465,1422,1430,1581,21513,1502,1503,1656,1545,1576,1585,1535,1502,1421,1329,1394,1300,1313,1211,1141,11175,1113,1140,1111,1051,1080,1059,1098,1123,1175,1225,7332,911,935,829,767,756,703,663,639,572,557,3220,481,427,404,346,308,1254,67048,2875,558,560,584,568,605,2990,631,593,558,621,587,3561,581,619,602,633,536,590,5486,572,535,1594,2785,8468,2607,2280,1517,1130,934,8986,925,838,902,899,940,896,939,874,876,897,11605,857,857,851,840,849,735,859,779,689,682,682,702,741,712,770,10926,760,744,821,779,808,820,785,752,732,695,703,682,662,614,569,5931,574,617,603,538,580,547,561,619,643,649,4139,501,521,457,434,431,406,379,352,330,328,2081,287,257,253,225,206,853,63664,3008,605,584,596,619,604,3211,650,611,659,635,656,3732,661,649,634,613,590,585,5105,582,640,1446,2437,7880,2371,2090,1438,1047,934,9004,917,891,843,923,880,889,911,917,912,921,11561,844,852,846,858,804,799,797,778,700,613,697,763,681,718,811,10587,742,759,835,766,768,765,750,750,689,634,691,618,651,597,572,5244,539,523,508,513,500,512,537,504,532,576,3193,410,414,372,333,325,297,284,287,242,229,1139,194,170,151,121,102,401
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+"2021","North Devon","E07000043",98618,4513,789,885,877,952,1010,5225,986,971,1021,1130,1117,6680,1150,1181,1082,1115,1094,1058,3929,1089,1049,963,828,4237,726,777,865,934,935,10421,974,1008,1002,1044,1015,1105,1072,1075,1114,1012,16294,1012,1025,987,1014,1052,1148,1117,1076,990,956,1040,1086,1178,1285,1328,21866,1401,1402,1386,1420,1502,1519,1540,1541,1550,1488,1512,1402,1381,1404,1418,13218,1271,1241,1297,1233,1254,1249,1343,1366,1477,1487,8739,1139,1184,1086,1054,834,766,755,679,629,613,3496,566,480,399,379,364,1308,50606,2222,398,423,441,473,487,2547,505,467,486,519,570,3320,548,591,529,562,552,538,1790,510,514,433,333,2034,373,345,417,448,451,5319,488,524,491,540,497,544,570,577,558,530,8445,535,562,508,530,549,586,567,538,490,481,582,550,596,664,707,11282,714,718,698,739,799,796,796,779,814,784,766,712,712,720,735,6803,655,644,676,634,645,649,702,686,775,737,4720,586,635,576,565,447,424,445,367,343,332,2124,307,269,223,236,227,862,48012,2291,391,462,436,479,523,2678,481,504,535,611,547,3360,602,590,553,553,542,520,2139,579,535,530,495,2203,353,432,448,486,484,5102,486,484,511,504,518,561,502,498,556,482,7849,477,463,479,484,503,562,550,538,500,475,458,536,582,621,621,10584,687,684,688,681,703,723,744,762,736,704,746,690,669,684,683,6415,616,597,621,599,609,600,641,680,702,750,4019,553,549,510,489,387,342,310,312,286,281,1372,259,211,176,143,137,446
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+"2021","Monmouthshire","W06000021",92958,3960,734,736,798,828,864,4642,914,877,898,972,981,6116,1020,971,1074,1006,1086,959,3613,1067,1030,844,672,3871,668,681,770,843,909,9230,841,931,895,901,931,974,897,966,889,1005,15746,909,981,985,1002,1024,1022,1053,987,1004,968,1005,1082,1081,1265,1378,21740,1412,1368,1426,1473,1583,1618,1536,1650,1543,1469,1384,1394,1272,1312,1300,12597,1215,1257,1170,1331,1220,1252,1241,1269,1299,1343,8181,1065,1069,984,951,822,766,716,643,588,577,3262,530,450,403,364,298,1217,47415,1897,368,352,397,387,393,2215,429,417,422,468,479,2973,479,504,500,491,539,460,1703,485,488,415,315,1843,311,315,365,406,446,4586,394,455,458,464,439,463,462,470,467,514,8138,486,500,536,519,539,546,532,509,511,482,524,546,549,648,711,11173,744,697,736,771,820,860,776,881,791,747,706,722,619,641,662,6492,629,646,631,666,617,651,640,652,656,704,4388,580,568,482,506,471,409,370,361,327,314,2007,311,255,218,203,173,847,45543,2063,366,384,401,441,471,2427,485,460,476,504,502,3143,541,467,574,515,547,499,1910,582,542,429,357,2028,357,366,405,437,463,4644,447,476,437,437,492,511,435,496,422,491,7608,423,481,449,483,485,476,521,478,493,486,481,536,532,617,667,10567,668,671,690,702,763,758,760,769,752,722,678,672,653,671,638,6105,586,611,539,665,603,601,601,617,643,639,3793,485,501,502,445,351,357,346,282,261,263,1255,219,195,185,161,125,370
+"2021","Newport","W06000022",159587,9733,1839,1908,1968,1995,2023,10337,2158,2121,2021,2014,2023,12100,2111,2138,2101,2078,1787,1885,6788,1928,1835,1673,1352,8737,1445,1617,1819,1878,1978,23603,1955,2114,2178,2439,2376,2576,2424,2506,2546,2489,30807,2325,2370,2208,2109,2135,2174,2086,1985,1869,1833,1863,1869,1878,2045,2058,30424,2158,2089,2151,2196,2182,2186,2230,2164,2114,1978,1980,1833,1906,1686,1571,14528,1426,1485,1528,1509,1326,1371,1422,1420,1499,1542,9104,1102,1244,1051,1052,901,826,814,761,674,679,3426,586,457,437,362,357,1227,81169,4793,890,926,931,1026,1020,4977,980,1063,981,953,1000,5938,1037,1124,971,988,893,925,3277,923,893,782,679,4317,682,778,916,919,1022,12178,989,1135,1131,1205,1268,1386,1222,1242,1338,1262,15570,1209,1173,1151,1069,1121,1113,982,995,926,938,936,875,1001,1022,1059,15445,1057,1020,1075,1195,1136,1103,1145,1098,1083,1025,968,966,932,832,810,7478,726,762,782,749,690,659,774,762,777,797,5045,600,662,556,561,521,481,452,424,383,405,2151,335,268,272,224,229,823,78418,4940,949,982,1037,969,1003,5360,1178,1058,1040,1061,1023,6162,1074,1014,1130,1090,894,960,3511,1005,942,891,673,4420,763,839,903,959,956,11425,966,979,1047,1234,1108,1190,1202,1264,1208,1227,15237,1116,1197,1057,1040,1014,1061,1104,990,943,895,927,994,877,1023,999,14979,1101,1069,1076,1001,1046,1083,1085,1066,1031,953,1012,867,974,854,761,7050,700,723,746,760,636,712,648,658,722,745,4059,502,582,495,491,380,345,362,337,291,274,1275,251,189,165,138,128,404
+"2021","Powys","W06000023",133174,5731,1052,1053,1162,1231,1233,6539,1296,1242,1316,1346,1339,8362,1359,1353,1405,1468,1410,1367,5052,1453,1383,1212,1004,5698,963,1053,1194,1262,1226,13231,1308,1314,1344,1228,1314,1422,1317,1346,1404,1234,20641,1302,1297,1254,1268,1360,1313,1301,1277,1256,1260,1374,1441,1479,1539,1920,30799,1896,1858,1922,1928,2108,2097,2189,2080,2212,2099,2117,2131,2073,2035,2054,19877,1925,1992,2051,1977,1879,1924,1996,1985,2111,2037,12550,1567,1661,1605,1456,1239,1102,1095,1037,908,880,4694,765,658,582,502,443,1744,67471,2775,510,541,537,570,617,3172,636,579,639,643,675,4077,678,665,661,728,675,670,2399,702,683,575,439,2621,427,461,556,599,578,6513,589,684,648,597,633,718,632,680,696,636,10512,642,643,637,679,688,654,647,671,653,631,692,730,782,784,979,15862,1013,970,997,1009,1098,1096,1102,1069,1141,1044,1094,1089,1065,1049,1026,10015,965,1039,1046,995,939,969,1025,972,1049,1016,6616,827,861,807,754,654,601,597,549,488,478,2909,434,349,343,319,278,1186,65703,2956,542,512,625,661,616,3367,660,663,677,703,664,4285,681,688,744,740,735,697,2653,751,700,637,565,3077,536,592,638,663,648,6718,719,630,696,631,681,704,685,666,708,598,10129,660,654,617,589,672,659,654,606,603,629,682,711,697,755,941,14937,883,888,925,919,1010,1001,1087,1011,1071,1055,1023,1042,1008,986,1028,9862,960,953,1005,982,940,955,971,1013,1062,1021,5934,740,800,798,702,585,501,498,488,420,402,1785,331,309,239,183,165,558
+"2021","Merthyr Tydfil","W06000024",58839,3297,607,625,650,709,706,3661,735,748,684,709,785,4203,734,701,719,711,714,624,2496,641,647,663,545,3217,577,626,630,657,727,7843,666,697,771,764,796,816,828,799,861,845,10855,865,841,800,754,764,773,728,636,591,609,654,656,663,723,798,12157,802,826,804,806,884,849,879,879,818,830,837,749,759,782,653,6306,649,634,629,631,606,661,626,641,643,586,3601,449,503,453,417,348,318,312,262,303,236,1203,229,160,158,133,114,409,30083,1591,268,336,331,318,338,1790,346,367,340,348,389,2018,325,363,355,333,336,306,1185,320,325,304,236,1613,293,289,323,334,374,4133,349,368,369,405,440,426,431,435,445,465,5607,463,421,411,407,402,409,357,310,318,294,331,337,352,381,414,6231,416,419,422,414,477,406,482,452,432,430,431,370,357,400,323,3261,346,335,304,312,316,349,319,315,334,331,1886,222,264,225,211,178,177,175,128,176,130,768,130,93,108,81,74,282,28756,1706,339,289,319,391,368,1871,389,381,344,361,396,2185,409,338,364,378,378,318,1311,321,322,359,309,1604,284,337,307,323,353,3710,317,329,402,359,356,390,397,364,416,380,5248,402,420,389,347,362,364,371,326,273,315,323,319,311,342,384,5926,386,407,382,392,407,443,397,427,386,400,406,379,402,382,330,3045,303,299,325,319,290,312,307,326,309,255,1715,227,239,228,206,170,141,137,134,127,106,435,99,67,50,52,40,127
diff --git a/tests/test_uk.py b/tests/test_uk.py
index e69de29..aaa7d30 100644
--- a/tests/test_uk.py
+++ b/tests/test_uk.py
@@ -0,0 +1,78 @@
+from __future__ import annotations
+
+from pathlib import Path
+
+import pandas as pd
+from dagster import build_asset_context
+from icecream import ic
+
+from popgetter.assets.uk import england_wales_census as ew_census
+from popgetter.metadata import MetricMetadata
+
+
+def test_retrieve_table_description():
+    example_url = "https://www.nomisweb.co.uk/datasets/c2021ts009"
+    expected_desction_snipet = "estimates that classify usual residents in England and Wales by sex and single year of age"
+    actual_description = ew_census._retrieve_table_description(example_url)
+
+    assert (
+        expected_desction_snipet in actual_description
+    ), "The description of the table did not included the expected text"
+
+
+def test_uk__derived_metrics():
+    mmd = MetricMetadata(
+        human_readable_name="test_human_readable_name",
+        source_download_url="test_source_download_url",
+        source_archive_file_path="test_source_archive_file_path",
+        source_documentation_url="test_source_documentation_url",
+        source_data_release_id="geography code",
+        # TODO - this is a placeholder
+        parent_metric_id="unknown_at_this_stage",
+        potential_denominator_ids=None,
+        parquet_margin_of_error_file=None,
+        parquet_margin_of_error_column=None,
+        parquet_column_name="unknown_parquet_column_name",
+        # TODO - this is a placeholder
+        metric_parquet_path="unknown",
+        hxl_tag="hxl_tag_unknown",
+        description="description",
+        source_metric_id="source_table.hxltag",
+    )
+
+    # Get a context for testing
+    context = build_asset_context(partition_key="ltla/TS009")
+
+    # TODO, replace this with a proper fixture
+    demo_census_source_table_path = (
+        Path(__file__).parent / "demo_data" / "gbr_ew_census2021-ts009-ltla.csv"
+    )
+    source_df = pd.read_csv(demo_census_source_table_path)
+
+    # Limit the test data to just Hartlepool and Middlesbrough
+    # - Two rows in the test data, to distinguish between other cases where derived
+    # metrics are calculated by pivoting over multiple rows
+    # - Still dealing with the source table here, so the relevant columns is "geography code"
+    source_df = source_df[source_df["geography code"].isin(["E06000001", "E06000002"])]
+
+    ewc = ew_census.EnglandAndWales()
+    actual_derived_metrics = ewc._derived_metrics(context, source_df, mmd)
+
+    # ic(actual_derived_metrics)
+    ic(actual_derived_metrics.metrics.head(1).T)
+
+    # Test the results on Hartlepool
+    # - This is the derived metrics, hence the relevant column is "GEO_ID"
+    hartlepool = actual_derived_metrics.metrics[
+        actual_derived_metrics.metrics["GEO_ID"] == "E06000001"
+    ]
+
+    # Manually calculated expected values
+    assert hartlepool["children_5_17"].to_numpy()[0] == 14847
+    assert hartlepool["infants_0_4"].to_numpy()[0] == 4981
+
+    assert hartlepool["children_0_17"].to_numpy()[0] == 19828
+    assert hartlepool["adults_f"].to_numpy()[0] == 37971
+    assert hartlepool["adults_m"].to_numpy()[0] == 34548
+    assert hartlepool["adults"].to_numpy()[0] == 72519
+    assert hartlepool["individuals"].to_numpy()[0] == 92347