notebooks_jupyter/local_report_ethnicity.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Identifying Ethnicity in OpenSAFELY-TPP\n",
    "\n",
    "This short report describes how ethnicity can be identified in the OpenSAFELY-TPP database, and the strengths and weaknesses of the methods. Ethnicity is known to be an important determinant of health outcomes, particularly during the COVID-19 outbreak where a complex interplay of social and biological factors resulted in increased exposure, reduced protection, and increased severity of illness. The recording of patients’ ethnic group in primary care can support efforts to achieve equity in service provision and outcomes. \n",
    "\n",
    "The [NHS Data Model and Dictionary](https://www.datadictionary.nhs.uk/data_elements/ethnic_category.html?hl=ethnicity) states that ethnic data groups defined in the [2001 census](https://www.ethnicity-facts-figures.service.gov.uk/style-guide/ethnic-groups#2001-census) is the national mandatory standard for the collection and analysis of ethnicity.\n",
    "\n",
    "In OpenSAFELY-TPP, there is no categorical “ethnicity” variable to record this information. Rather, ethnicity is recorded using clinical codes, like any other clinical or administrative event, with specific codes relating to specific ethnic groups. \n",
    "\n",
    "We define three codelists to capture primary care ethnicity in OpenSAFELY-TPP : \"[2020-CTV3](https://www.opencodelists.org/codelist/opensafely/ethnicity/2020-04-27)\", \"[2022-SNOMED](https://www.opencodelists.org/codelist/opensafely/ethnicity-snomed-0removed/2e641f61/)\" and \"[2021-PRIMIS](https://www.opencodelists.org/codelist/primis-covid19-vacc-uptake/eth2001/v1/)\".\n",
    "\n",
    "\n",
    "This is a living document that will be updated to reflect changes to the OpenSAFELY-TPP database and the patient records within.\n",
    "\n",
    "## OpenSAFELY\n",
    "OpenSAFELY is an analytics platform for conducting analyses on Electronic Health Records inside the secure environment where the records are held. This has multiple benefits: \n",
    "\n",
    "* We don't transport large volumes of potentially disclosive pseudonymised patient data outside of the secure environments for analysis\n",
    "* Analyses can run in near real-time as records are ready for analysis as soon as they appear in the secure environment\n",
    "* All infrastructure and analysis code is stored in GitHub repositories, which are open for security review, scientific review, and re-use\n",
    "\n",
    "A key feature of OpenSAFELY is the use of study definitions, which are formal specifications of the datasets to be generated from the OpenSAFELY database. This takes care of much of the complex EHR data wrangling required to create a dataset in an analysis-ready format. It also creates a library of standardised and validated variable definitions that can be deployed consistently across multiple projects. \n",
    "\n",
    "The purpose of this report is to describe the main variables that relate ethnicity, and their relative strengths and weaknesses.\n",
    "\n",
    "## Available Records\n",
    "OpenSAFELY-TPP runs inside TPP’s data centre which contains the primary care records for all patients registered at practices using TPP’s SystmOne Clinical Information System. This data centre also imports external datasets from other sources, including A&E attendances and hospital admissions from NHS Digital’s Secondary Use Service, and death registrations from the ONS. More information on available data sources can be found within the [OpenSAFELY documentation](https://docs.opensafely.org/data-sources/intro/). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Methods\n",
    "\n",
    "We define three codelists to capture primary care ethnicity in OpenSAFELY-TPP : \"[2020-CTV3](https://www.opencodelists.org/codelist/opensafely/ethnicity/2020-04-27)\", \"[2022-SNOMED](https://www.opencodelists.org/codelist/opensafely/ethnicity-snomed-0removed/2e641f61/)\" and \"[2021-PRIMIS](https://www.opencodelists.org/codelist/primis-covid19-vacc-uptake/eth2001/v1/)\".\n",
    "\n",
    "\n",
    "\n",
    "### Completeness of ethnicity data\n",
    "To evaluate how well each of these codelists are populated, the proportion of patients with ethnicity recorded (that is, the presence of any code in the codelist in the patient record) was calculated for patients registered as of 1 January 2022. \n",
    "\n",
    "We examine trends across the whole population and by each of the following demographic and clinical subgroups to detect any inequalities.\n",
    "\n",
    "Demographic covariates:\n",
    "\n",
    "- Age band\n",
    "- Sex\n",
    "- Ethnicity\n",
    "- Region\n",
    "- IMD\n",
    "\n",
    "\n",
    "Clinical covariates:\n",
    "\n",
    "- Dementia\n",
    "- Diabetes\n",
    "- Learning disability\n",
    "\n",
    "\n",
    "### Ethnicity by group\n",
    "\n",
    "These codes were grouped into one of two ethnicity groups based on the 2001 Census groups: \n",
    "\n",
    "5-level group: \n",
    "- Asian or Asian British\n",
    "- Black or Black British \n",
    "- Mixed \n",
    "- White \n",
    "- Chinese or other ethnic group \n",
    "\n",
    "\n",
    "\n",
    "16-level group: \n",
    "- Asian or Asian British\n",
    "    - Indian\n",
    "    - Pakistani\n",
    "    - Bangladeshi\n",
    "    - Any other Asian background\n",
    "- Black or Black British \n",
    "    - Caribbean\n",
    "    - African\n",
    "    - Any other Black background\n",
    "- Mixed \n",
    "    - White and Black Caribbean\n",
    "    - White and Black African\n",
    "    - White and Asian\n",
    "    - Any other Mixed background\n",
    "- White \n",
    "    - British\n",
    "    - Irish\n",
    "    - Any other White background\n",
    "- Chinese or other ethnic group \n",
    "    - Chinese\n",
    "    - Any other\n",
    "    \n",
    "\n",
    "For patients with multiple ethnicity records, the most recent record was chosen (even if this is later than the cohort date). The proportion of patients with each ethnicity groups was calculated, within each clinical and demographic subgroup.\n",
    "\n",
    "\n",
    "### Changes in coded ethnicity groups. \n",
    "In order to investigate the extent of discrepancies within individual patients’ recorded grouped ethnicity the proportion of patients with any grouped ethnicity recorded which does not match their ‘latest’ recorded grouped ethnicity was calculated for each of the five ethnic groups. \n",
    "\n",
    "### Comparison of ‘Latest’ and ‘Most Frequent’ coded ethnicity.\n",
    "\n",
    "The proportion of patients with a recorded latest ethnicity whose most frequently recorded ethnicity does not match their latest recorded ethnicity was calculated for each of the five ethnic groups.\n",
    "\n",
    "### Comparison with the 2011 UK census population\n",
    "The UK Census collects individual and household-level demographic data every 10 years for the whole UK population. Data on ethnicity were obtained from the 2011 UK Census for England. The most recent census across the UK was undertaken on 27 March 2011.\n",
    "\n",
    "Any counts below 6 were redacted, and all other values were rounded to the nearest 5.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from itertools import product\n",
    "from IPython.display import display, Markdown, Image\n",
    "from datetime import date, timedelta\n",
    "\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', 500)\n",
    "pd.options.mode.chained_assignment = None \n",
    "pd.options.display.float_format = '{:,.0f}'.format\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def local_patient_counts(\n",
    "    definitions, output_path, code_dict=\"\", categories=False, missing=False,\n",
    "):\n",
    "    import pandas as pd\n",
    "\n",
    "    suffix = \"_filled\"\n",
    "    overlap = \"all_filled\"\n",
    "    if missing == True:\n",
    "        suffix = \"_missing\"\n",
    "        overlap = \"all_missing\"\n",
    "    if categories:\n",
    "        df_population = pd.read_csv(\n",
    "            f\"../output/{output_path}/simple_patient_counts_registered.csv\"\n",
    "        ).set_index([\"group\", \"subgroup\"])\n",
    "        \n",
    "\n",
    "        df_append = pd.read_csv(\n",
    "            f\"../output/{output_path}/simple_patient_counts_categories_registered.csv\"\n",
    "        ).set_index([\"group\", \"subgroup\"])\n",
    "        \n",
    "        if output_path == output_path_5:\n",
    "            global df_append_cat_5\n",
    "            df_append_cat_5 = df_append\n",
    "\n",
    "        if output_path == output_path_16:\n",
    "            global df_append_cat_16\n",
    "            df_append_cat_16 = df_append\n",
    "\n",
    "        df_append.drop(\"population\", inplace=True, axis=1)\n",
    "        df_append[\"population\"] = df_population[definitions[0]+\"_filled\"]\n",
    "        # ensure definitions[n] in code_dict[definitions[n]] below refers to one of the definitions of interest\n",
    "        definitions = [\n",
    "            f\"{category}_{definition}\"\n",
    "            for category, definition in product(\n",
    "                code_dict[definitions[1]].values(), definitions\n",
    "            )\n",
    "        ]\n",
    "    else:\n",
    "        df_append = pd.read_csv(\n",
    "            f\"../output/{output_path}/simple_patient_counts_registered.csv\"\n",
    "        ).set_index([\"group\", \"subgroup\"])\n",
    "        global total\n",
    "        total =  df_append\n",
    "    for definition in definitions:\n",
    "        if missing:\n",
    "            df_append[definition + suffix] = (\n",
    "                df_append[\"population\"] - df_append[definition + \"_filled\"]\n",
    "            )    \n",
    "        df_append[definition + \"_pct\"] = round(\n",
    "            (df_append[definition + suffix].div(df_append[\"population\"])) * 100, 1\n",
    "        )\n",
    "        df_append[overlap + \"_pct\"] = round(\n",
    "            (df_append[overlap].div(df_append[\"population\"])) * 100, 1\n",
    "        )\n",
    "\n",
    "        # Combine count and percentage columns\n",
    "        df_append[definition] = (\n",
    "            df_append[definition + suffix].apply(lambda x: \"{:,.0f}\".format(x))\n",
    "            + \" (\"\n",
    "            + df_append[definition + \"_pct\"].astype(str)\n",
    "            + \")\"\n",
    "        )\n",
    "        df_append = df_append.drop(columns=[definition + suffix, definition + \"_pct\"])\n",
    "    df_append[overlap] = (\n",
    "        df_append[overlap].apply(lambda x: \"{:,.0f}\".format(x))\n",
    "        + \" (\"\n",
    "        + df_append[overlap + \"_pct\"].astype(str)\n",
    "        + \")\"\n",
    "    )\n",
    "    df_append = df_append.drop(columns=[overlap + \"_pct\"])\n",
    "    df_patient_counts = df_append[definitions + [overlap] + [\"population\"]]\n",
    "    # Final redaction step\n",
    "    df_patient_counts = df_patient_counts.replace(np.nan, \"-\")\n",
    "    df_patient_counts = df_patient_counts.replace(\"nan (nan)\", \"- (-)\")\n",
    "    for k, v in definition_dict.items():\n",
    "        df_patient_counts.columns = df_patient_counts.columns.str.replace(k,v) \n",
    "    df_patient_counts.columns = df_patient_counts.columns.str.replace(\"_\", \" \")\n",
    "    display(df_patient_counts)\n",
    "    \n",
    "    if categories:\n",
    "        df_patient_counts.to_csv(\n",
    "                f\"../output/{output_path}/local_patient_counts_categories_registered.csv\"\n",
    "            )\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "### CONFIGURE ###\n",
    "definitions_5 = ['ethnicity_5', 'ethnicity_new_5', 'ethnicity_primis_5']\n",
    "definitions_16 = ['ethnicity_16', 'ethnicity_new_16', 'ethnicity_primis_16']\n",
    "covariates = ['_age_band','_sex','_region','_imd','_dementia','_diabetes','_hypertension','_learning_disability']\n",
    "output_path_5 = 'simplified_output/5_group/tables'\n",
    "output_path_16 = 'simplified_output/16_group/tables'\n",
    "suffixes = ['','_missing']\n",
    "suffix = ''\n",
    "code_dict_5 = {\n",
    "    \"imd\": {\n",
    "        0: \"Unknown\",\n",
    "        1: \"1 Most deprived\",\n",
    "        2: \"2\",\n",
    "        3: \"3\",\n",
    "        4: \"4\",\n",
    "        5: \"5 Least deprived\",\n",
    "    },\n",
    "    \"ethnicity_5\": {1: \"White\", 2: \"Mixed\", 3: \"Asian\", 4: \"Black\", 5: \"Other\"},\n",
    "    \"ethnicity_new_5\": {1: \"White\", 2: \"Mixed\", 3: \"Asian\", 4: \"Black\", 5: \"Other\"},\n",
    "    \"ethnicity_primis_5\": {1: \"White\", 2: \"Mixed\", 3: \"Asian\", 4: \"Black\", 5: \"Other\"},\n",
    "}\n",
    "\n",
    "# Code dictionary\n",
    "code_dict_16 = {\n",
    "    \"imd\": {\n",
    "        0: \"Unknown\",\n",
    "        1: \"1 Most deprived\",\n",
    "        2: \"2\",\n",
    "        3: \"3\",\n",
    "        4: \"4\",\n",
    "        5: \"5 Least deprived\",\n",
    "    },\n",
    "    \"ethnicity_16\": {\n",
    "        1: \"White_British\",\n",
    "        2: \"White_Irish\",\n",
    "        3: \"Other_White\",\n",
    "        4: \"White_and_Black_Caribbean\",\n",
    "        5: \"White_and_Black_African\",\n",
    "        6: \"White_and_Asian\",\n",
    "        7: \"Other_Mixed\",\n",
    "        8: \"Indian\",\n",
    "        9: \"Pakistani\",\n",
    "        10: \"Bangladeshi\",\n",
    "        11: \"Other_Asian\",\n",
    "        12: \"Caribbean\",\n",
    "        13: \"African\",\n",
    "        14: \"Other_Black\",\n",
    "        15: \"Chinese\",\n",
    "        16: \"Any_other_ethnic_group\",\n",
    "    },\n",
    "    \"ethnicity_new_16\": {\n",
    "        1: \"White_British\",\n",
    "        2: \"White_Irish\",\n",
    "        3: \"Other_White\",\n",
    "        4: \"White_and_Black_Caribbean\",\n",
    "        5: \"White_and_Black_African\",\n",
    "        6: \"White_and_Asian\",\n",
    "        7: \"Other_Mixed\",\n",
    "        8: \"Indian\",\n",
    "        9: \"Pakistani\",\n",
    "        10: \"Bangladeshi\",\n",
    "        11: \"Other_Asian\",\n",
    "        12: \"Caribbean\",\n",
    "        13: \"African\",\n",
    "        14: \"Other_Black\",\n",
    "        15: \"Chinese\",\n",
    "        16: \"Any_other_ethnic_group\",\n",
    "    },\n",
    "    \"ethnicity_primis_16\": {\n",
    "        1: \"White_British\",\n",
    "        2: \"White_Irish\",\n",
    "        3: \"Other_White\",\n",
    "        4: \"White_and_Black_Caribbean\",\n",
    "        5: \"White_and_Black_African\",\n",
    "        6: \"White_and_Asian\",\n",
    "        7: \"Other_Mixed\",\n",
    "        8: \"Indian\",\n",
    "        9: \"Pakistani\",\n",
    "        10: \"Bangladeshi\",\n",
    "        11: \"Other_Asian\",\n",
    "        12: \"Caribbean\",\n",
    "        13: \"African\",\n",
    "        14: \"Other_Black\",\n",
    "        15: \"Chinese\",\n",
    "        16: \"Any_other_ethnic_group\",\n",
    "    },\n",
    "}\n",
    "\n",
    "definition_dict = {\n",
    "        \"ethnicity_new_5\": \"5 SNOMED:2022\",\n",
    "        \"ethnicity_primis_5\": \"5 PRIMIS:2021\",\n",
    "        \"ethnicity_5\": \"5 CTV3:2020\",\n",
    "        \"ethnicity_new_16\": \"16 SNOMED:2022\",\n",
    "        \"ethnicity_primis_16\": \"16 PRIMIS:2021\",\n",
    "        \"ethnicity_16\": \"16 CTV3:2020\",\n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get data extraction date\n",
    "extract_date = pd.to_datetime(os.path.getmtime(f\"../output/{output_path_5}/simple_patient_counts_registered.csv\"), unit='s')\n",
    "# get notebook run date\n",
    "run_date = date.today()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Completeness of ethnicity data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>5 CTV3:2020</th>\n",
       "      <th>5 SNOMED:2022</th>\n",
       "      <th>5 PRIMIS:2021</th>\n",
       "      <th>all filled</th>\n",
       "      <th>population</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>group</th>\n",
       "      <th>subgroup</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <th>with records</th>\n",
       "      <td>480 (73.8)</td>\n",
       "      <td>495 (76.2)</td>\n",
       "      <td>485 (74.6)</td>\n",
       "      <td>280 (43.1)</td>\n",
       "      <td>650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">age_band</th>\n",
       "      <th>0-19</th>\n",
       "      <td>50 (71.4)</td>\n",
       "      <td>60 (85.7)</td>\n",
       "      <td>55 (78.6)</td>\n",
       "      <td>35 (50.0)</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20-29</th>\n",
       "      <td>70 (77.8)</td>\n",
       "      <td>65 (72.2)</td>\n",
       "      <td>70 (77.8)</td>\n",
       "      <td>35 (38.9)</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30-39</th>\n",
       "      <td>55 (68.8)</td>\n",
       "      <td>65 (81.2)</td>\n",
       "      <td>60 (75.0)</td>\n",
       "      <td>35 (43.8)</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40-49</th>\n",
       "      <td>50 (66.7)</td>\n",
       "      <td>55 (73.3)</td>\n",
       "      <td>55 (73.3)</td>\n",
       "      <td>30 (40.0)</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50-59</th>\n",
       "      <td>50 (71.4)</td>\n",
       "      <td>55 (78.6)</td>\n",
       "      <td>55 (78.6)</td>\n",
       "      <td>25 (35.7)</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60-69</th>\n",
       "      <td>70 (73.7)</td>\n",
       "      <td>70 (73.7)</td>\n",
       "      <td>60 (63.2)</td>\n",
       "      <td>40 (42.1)</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70-79</th>\n",
       "      <td>65 (81.2)</td>\n",
       "      <td>60 (75.0)</td>\n",
       "      <td>65 (81.2)</td>\n",
       "      <td>40 (50.0)</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80+</th>\n",
       "      <td>65 (68.4)</td>\n",
       "      <td>70 (73.7)</td>\n",
       "      <td>65 (68.4)</td>\n",
       "      <td>35 (36.8)</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
       "      <th>F</th>\n",
       "      <td>250 (74.6)</td>\n",
       "      <td>255 (76.1)</td>\n",
       "      <td>240 (71.6)</td>\n",
       "      <td>145 (43.3)</td>\n",
       "      <td>335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>230 (73.0)</td>\n",
       "      <td>240 (76.2)</td>\n",
       "      <td>240 (76.2)</td>\n",
       "      <td>135 (42.9)</td>\n",
       "      <td>315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">region</th>\n",
       "      <th>East Midlands</th>\n",
       "      <td>25 (83.3)</td>\n",
       "      <td>20 (66.7)</td>\n",
       "      <td>25 (83.3)</td>\n",
       "      <td>15 (50.0)</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East of England</th>\n",
       "      <td>35 (77.8)</td>\n",
       "      <td>35 (77.8)</td>\n",
       "      <td>30 (66.7)</td>\n",
       "      <td>20 (44.4)</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>London</th>\n",
       "      <td>75 (71.4)</td>\n",
       "      <td>80 (76.2)</td>\n",
       "      <td>80 (76.2)</td>\n",
       "      <td>45 (42.9)</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North East</th>\n",
       "      <td>25 (62.5)</td>\n",
       "      <td>30 (75.0)</td>\n",
       "      <td>30 (75.0)</td>\n",
       "      <td>15 (37.5)</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North West</th>\n",
       "      <td>35 (87.5)</td>\n",
       "      <td>30 (75.0)</td>\n",
       "      <td>35 (87.5)</td>\n",
       "      <td>20 (50.0)</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South East</th>\n",
       "      <td>45 (69.2)</td>\n",
       "      <td>50 (76.9)</td>\n",
       "      <td>50 (76.9)</td>\n",
       "      <td>25 (38.5)</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Midlands</th>\n",
       "      <td>35 (70.0)</td>\n",
       "      <td>35 (70.0)</td>\n",
       "      <td>35 (70.0)</td>\n",
       "      <td>15 (30.0)</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yorkshire and the Humber</th>\n",
       "      <td>40 (72.7)</td>\n",
       "      <td>45 (81.8)</td>\n",
       "      <td>40 (72.7)</td>\n",
       "      <td>25 (45.5)</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">imd</th>\n",
       "      <th>1 Most deprived</th>\n",
       "      <td>85 (70.8)</td>\n",
       "      <td>95 (79.2)</td>\n",
       "      <td>80 (66.7)</td>\n",
       "      <td>45 (37.5)</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>85 (70.8)</td>\n",
       "      <td>85 (70.8)</td>\n",
       "      <td>100 (83.3)</td>\n",
       "      <td>50 (41.7)</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>110 (75.9)</td>\n",
       "      <td>120 (82.8)</td>\n",
       "      <td>105 (72.4)</td>\n",
       "      <td>70 (48.3)</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100 (74.1)</td>\n",
       "      <td>100 (74.1)</td>\n",
       "      <td>105 (77.8)</td>\n",
       "      <td>55 (40.7)</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 Least deprived</th>\n",
       "      <td>95 (76.0)</td>\n",
       "      <td>95 (76.0)</td>\n",
       "      <td>90 (72.0)</td>\n",
       "      <td>55 (44.0)</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unknown</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">dementia</th>\n",
       "      <th>False</th>\n",
       "      <td>475 (74.2)</td>\n",
       "      <td>490 (76.6)</td>\n",
       "      <td>475 (74.2)</td>\n",
       "      <td>280 (43.8)</td>\n",
       "      <td>640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">diabetes</th>\n",
       "      <th>False</th>\n",
       "      <td>475 (73.6)</td>\n",
       "      <td>490 (76.0)</td>\n",
       "      <td>480 (74.4)</td>\n",
       "      <td>275 (42.6)</td>\n",
       "      <td>645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">hypertension</th>\n",
       "      <th>False</th>\n",
       "      <td>475 (73.6)</td>\n",
       "      <td>490 (76.0)</td>\n",
       "      <td>480 (74.4)</td>\n",
       "      <td>280 (43.4)</td>\n",
       "      <td>645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">learning_disability</th>\n",
       "      <th>False</th>\n",
       "      <td>475 (73.6)</td>\n",
       "      <td>490 (76.0)</td>\n",
       "      <td>480 (74.4)</td>\n",
       "      <td>275 (42.6)</td>\n",
       "      <td>645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             5 CTV3:2020 5 SNOMED:2022  \\\n",
       "group               subgroup                                             \n",
       "all                 with records              480 (73.8)    495 (76.2)   \n",
       "age_band            0-19                       50 (71.4)     60 (85.7)   \n",
       "                    20-29                      70 (77.8)     65 (72.2)   \n",
       "                    30-39                      55 (68.8)     65 (81.2)   \n",
       "                    40-49                      50 (66.7)     55 (73.3)   \n",
       "                    50-59                      50 (71.4)     55 (78.6)   \n",
       "                    60-69                      70 (73.7)     70 (73.7)   \n",
       "                    70-79                      65 (81.2)     60 (75.0)   \n",
       "                    80+                        65 (68.4)     70 (73.7)   \n",
       "sex                 F                         250 (74.6)    255 (76.1)   \n",
       "                    M                         230 (73.0)    240 (76.2)   \n",
       "region              East Midlands              25 (83.3)     20 (66.7)   \n",
       "                    East of England            35 (77.8)     35 (77.8)   \n",
       "                    London                     75 (71.4)     80 (76.2)   \n",
       "                    North East                 25 (62.5)     30 (75.0)   \n",
       "                    North West                 35 (87.5)     30 (75.0)   \n",
       "                    South East                 45 (69.2)     50 (76.9)   \n",
       "                    West Midlands              35 (70.0)     35 (70.0)   \n",
       "                    Yorkshire and the Humber   40 (72.7)     45 (81.8)   \n",
       "imd                 1 Most deprived            85 (70.8)     95 (79.2)   \n",
       "                    2                          85 (70.8)     85 (70.8)   \n",
       "                    3                         110 (75.9)    120 (82.8)   \n",
       "                    4                         100 (74.1)    100 (74.1)   \n",
       "                    5 Least deprived           95 (76.0)     95 (76.0)   \n",
       "                    Unknown                        - (-)         - (-)   \n",
       "dementia            False                     475 (74.2)    490 (76.6)   \n",
       "                    True                           - (-)         - (-)   \n",
       "diabetes            False                     475 (73.6)    490 (76.0)   \n",
       "                    True                           - (-)         - (-)   \n",
       "hypertension        False                     475 (73.6)    490 (76.0)   \n",
       "                    True                           - (-)         - (-)   \n",
       "learning_disability False                     475 (73.6)    490 (76.0)   \n",
       "                    True                           - (-)         - (-)   \n",
       "\n",
       "                                             5 PRIMIS:2021  all filled  \\\n",
       "group               subgroup                                             \n",
       "all                 with records                485 (74.6)  280 (43.1)   \n",
       "age_band            0-19                         55 (78.6)   35 (50.0)   \n",
       "                    20-29                        70 (77.8)   35 (38.9)   \n",
       "                    30-39                        60 (75.0)   35 (43.8)   \n",
       "                    40-49                        55 (73.3)   30 (40.0)   \n",
       "                    50-59                        55 (78.6)   25 (35.7)   \n",
       "                    60-69                        60 (63.2)   40 (42.1)   \n",
       "                    70-79                        65 (81.2)   40 (50.0)   \n",
       "                    80+                          65 (68.4)   35 (36.8)   \n",
       "sex                 F                           240 (71.6)  145 (43.3)   \n",
       "                    M                           240 (76.2)  135 (42.9)   \n",
       "region              East Midlands                25 (83.3)   15 (50.0)   \n",
       "                    East of England              30 (66.7)   20 (44.4)   \n",
       "                    London                       80 (76.2)   45 (42.9)   \n",
       "                    North East                   30 (75.0)   15 (37.5)   \n",
       "                    North West                   35 (87.5)   20 (50.0)   \n",
       "                    South East                   50 (76.9)   25 (38.5)   \n",
       "                    West Midlands                35 (70.0)   15 (30.0)   \n",
       "                    Yorkshire and the Humber     40 (72.7)   25 (45.5)   \n",
       "imd                 1 Most deprived              80 (66.7)   45 (37.5)   \n",
       "                    2                           100 (83.3)   50 (41.7)   \n",
       "                    3                           105 (72.4)   70 (48.3)   \n",
       "                    4                           105 (77.8)   55 (40.7)   \n",
       "                    5 Least deprived             90 (72.0)   55 (44.0)   \n",
       "                    Unknown                          - (-)       - (-)   \n",
       "dementia            False                       475 (74.2)  280 (43.8)   \n",
       "                    True                             - (-)       - (-)   \n",
       "diabetes            False                       480 (74.4)  275 (42.6)   \n",
       "                    True                             - (-)       - (-)   \n",
       "hypertension        False                       480 (74.4)  280 (43.4)   \n",
       "                    True                             - (-)       - (-)   \n",
       "learning_disability False                       480 (74.4)  275 (42.6)   \n",
       "                    True                             - (-)       - (-)   \n",
       "\n",
       "                                             population  \n",
       "group               subgroup                             \n",
       "all                 with records                    650  \n",
       "age_band            0-19                             70  \n",
       "                    20-29                            90  \n",
       "                    30-39                            80  \n",
       "                    40-49                            75  \n",
       "                    50-59                            70  \n",
       "                    60-69                            95  \n",
       "                    70-79                            80  \n",
       "                    80+                              95  \n",
       "sex                 F                               335  \n",
       "                    M                               315  \n",
       "region              East Midlands                    30  \n",
       "                    East of England                  45  \n",
       "                    London                          105  \n",
       "                    North East                       40  \n",
       "                    North West                       40  \n",
       "                    South East                       65  \n",
       "                    West Midlands                    50  \n",
       "                    Yorkshire and the Humber         55  \n",
       "imd                 1 Most deprived                 120  \n",
       "                    2                               120  \n",
       "                    3                               145  \n",
       "                    4                               135  \n",
       "                    5 Least deprived                125  \n",
       "                    Unknown                           -  \n",
       "dementia            False                           640  \n",
       "                    True                             10  \n",
       "diabetes            False                           645  \n",
       "                    True                              -  \n",
       "hypertension        False                           645  \n",
       "                    True                              -  \n",
       "learning_disability False                           645  \n",
       "                    True                              -  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "local_patient_counts(\n",
    "         definitions_5,  output_path_5\n",
    "    )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "Around 0.00028 million patients who have been registered in OpenSAFELY-TPP have each have all three codelists. `2020-CTV3` is the most well-populated with 0.000495 million patients having at least one `2020-CTV3` recording of ethnicity. \n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"\"\"\n",
    "Around {float('%.3g' % total[\"all_filled\"][0])/1000000} million patients who have been registered in OpenSAFELY-TPP have each have all three codelists. `2020-CTV3` is the most well-populated with {float('%.3g' % total[\"ethnicity_new_5_filled\"][0])/1000000} million patients having at least one `2020-CTV3` recording of ethnicity. \n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ethnicity by group"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5 Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "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></th>\n",
       "      <th>White 5 CTV3:2020</th>\n",
       "      <th>White 5 SNOMED:2022</th>\n",
       "      <th>White 5 PRIMIS:2021</th>\n",
       "      <th>Mixed 5 CTV3:2020</th>\n",
       "      <th>Mixed 5 SNOMED:2022</th>\n",
       "      <th>Mixed 5 PRIMIS:2021</th>\n",
       "      <th>Asian 5 CTV3:2020</th>\n",
       "      <th>Asian 5 SNOMED:2022</th>\n",
       "      <th>Asian 5 PRIMIS:2021</th>\n",
       "      <th>Black 5 CTV3:2020</th>\n",
       "      <th>Black 5 SNOMED:2022</th>\n",
       "      <th>Black 5 PRIMIS:2021</th>\n",
       "      <th>Other 5 CTV3:2020</th>\n",
       "      <th>Other 5 SNOMED:2022</th>\n",
       "      <th>Other 5 PRIMIS:2021</th>\n",
       "      <th>all filled</th>\n",
       "      <th>population</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>group</th>\n",
       "      <th>subgroup</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <th>with records</th>\n",
       "      <td>100 (20.8)</td>\n",
       "      <td>300 (62.5)</td>\n",
       "      <td>90 (18.8)</td>\n",
       "      <td>95 (19.8)</td>\n",
       "      <td>45 (9.4)</td>\n",
       "      <td>80 (16.7)</td>\n",
       "      <td>95 (19.8)</td>\n",
       "      <td>55 (11.5)</td>\n",
       "      <td>110 (22.9)</td>\n",
       "      <td>90 (18.8)</td>\n",
       "      <td>50 (10.4)</td>\n",
       "      <td>110 (22.9)</td>\n",
       "      <td>100 (20.8)</td>\n",
       "      <td>45 (9.4)</td>\n",
       "      <td>95 (19.8)</td>\n",
       "      <td>280 (58.3)</td>\n",
       "      <td>480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">age_band</th>\n",
       "      <th>0-19</th>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>35 (70.0)</td>\n",
       "      <td>15 (30.0)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (30.0)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>35 (70.0)</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20-29</th>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>45 (64.3)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>20 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>20 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (28.6)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>15 (21.4)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>20 (28.6)</td>\n",
       "      <td>35 (50.0)</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30-39</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>45 (81.8)</td>\n",
       "      <td>15 (27.3)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>15 (27.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (27.3)</td>\n",
       "      <td>15 (27.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>35 (63.6)</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40-49</th>\n",
       "      <td>15 (30.0)</td>\n",
       "      <td>35 (70.0)</td>\n",
       "      <td>15 (30.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>15 (30.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (30.0)</td>\n",
       "      <td>30 (60.0)</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50-59</th>\n",
       "      <td>15 (30.0)</td>\n",
       "      <td>35 (70.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (30.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (30.0)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (50.0)</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60-69</th>\n",
       "      <td>20 (28.6)</td>\n",
       "      <td>35 (50.0)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>20 (28.6)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>15 (21.4)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>20 (28.6)</td>\n",
       "      <td>15 (21.4)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>40 (57.1)</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70-79</th>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>35 (53.8)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>40 (61.5)</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80+</th>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>40 (61.5)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>35 (53.8)</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
       "      <th>F</th>\n",
       "      <td>55 (22.0)</td>\n",
       "      <td>150 (60.0)</td>\n",
       "      <td>50 (20.0)</td>\n",
       "      <td>40 (16.0)</td>\n",
       "      <td>25 (10.0)</td>\n",
       "      <td>45 (18.0)</td>\n",
       "      <td>55 (22.0)</td>\n",
       "      <td>25 (10.0)</td>\n",
       "      <td>50 (20.0)</td>\n",
       "      <td>50 (20.0)</td>\n",
       "      <td>30 (12.0)</td>\n",
       "      <td>50 (20.0)</td>\n",
       "      <td>50 (20.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>45 (18.0)</td>\n",
       "      <td>145 (58.0)</td>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>45 (19.6)</td>\n",
       "      <td>150 (65.2)</td>\n",
       "      <td>40 (17.4)</td>\n",
       "      <td>55 (23.9)</td>\n",
       "      <td>20 (8.7)</td>\n",
       "      <td>35 (15.2)</td>\n",
       "      <td>40 (17.4)</td>\n",
       "      <td>25 (10.9)</td>\n",
       "      <td>60 (26.1)</td>\n",
       "      <td>40 (17.4)</td>\n",
       "      <td>20 (8.7)</td>\n",
       "      <td>60 (26.1)</td>\n",
       "      <td>45 (19.6)</td>\n",
       "      <td>20 (8.7)</td>\n",
       "      <td>45 (19.6)</td>\n",
       "      <td>135 (58.7)</td>\n",
       "      <td>230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">region</th>\n",
       "      <th>East Midlands</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (40.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (40.0)</td>\n",
       "      <td>10 (40.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (60.0)</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East of England</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (71.4)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (42.9)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (57.1)</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>London</th>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>50 (66.7)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (26.7)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>45 (60.0)</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North East</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (40.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (40.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (40.0)</td>\n",
       "      <td>15 (60.0)</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North West</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (42.9)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (57.1)</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South East</th>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>30 (66.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (33.3)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>25 (55.6)</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Midlands</th>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>20 (57.1)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (42.9)</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yorkshire and the Humber</th>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>25 (62.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (37.5)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>25 (62.5)</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">imd</th>\n",
       "      <th>1 Most deprived</th>\n",
       "      <td>15 (17.6)</td>\n",
       "      <td>60 (70.6)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (17.6)</td>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>15 (17.6)</td>\n",
       "      <td>15 (17.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>45 (52.9)</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>50 (58.8)</td>\n",
       "      <td>25 (29.4)</td>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>15 (17.6)</td>\n",
       "      <td>15 (17.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>30 (35.3)</td>\n",
       "      <td>15 (17.6)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>15 (17.6)</td>\n",
       "      <td>50 (58.8)</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20 (18.2)</td>\n",
       "      <td>70 (63.6)</td>\n",
       "      <td>25 (22.7)</td>\n",
       "      <td>15 (13.6)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>20 (18.2)</td>\n",
       "      <td>25 (22.7)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>20 (18.2)</td>\n",
       "      <td>25 (22.7)</td>\n",
       "      <td>15 (13.6)</td>\n",
       "      <td>30 (27.3)</td>\n",
       "      <td>20 (18.2)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>15 (13.6)</td>\n",
       "      <td>70 (63.6)</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>25 (25.0)</td>\n",
       "      <td>60 (60.0)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>20 (20.0)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (25.0)</td>\n",
       "      <td>20 (20.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>25 (25.0)</td>\n",
       "      <td>25 (25.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>20 (20.0)</td>\n",
       "      <td>55 (55.0)</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 Least deprived</th>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>60 (63.2)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (26.3)</td>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (26.3)</td>\n",
       "      <td>55 (57.9)</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unknown</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">dementia</th>\n",
       "      <th>False</th>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>300 (63.2)</td>\n",
       "      <td>90 (18.9)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>45 (9.5)</td>\n",
       "      <td>80 (16.8)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>55 (11.6)</td>\n",
       "      <td>110 (23.2)</td>\n",
       "      <td>90 (18.9)</td>\n",
       "      <td>50 (10.5)</td>\n",
       "      <td>105 (22.1)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>40 (8.4)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>280 (58.9)</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">diabetes</th>\n",
       "      <th>False</th>\n",
       "      <td>100 (21.1)</td>\n",
       "      <td>300 (63.2)</td>\n",
       "      <td>90 (18.9)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>45 (9.5)</td>\n",
       "      <td>75 (15.8)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>55 (11.6)</td>\n",
       "      <td>110 (23.2)</td>\n",
       "      <td>90 (18.9)</td>\n",
       "      <td>50 (10.5)</td>\n",
       "      <td>110 (23.2)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>45 (9.5)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>275 (57.9)</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">hypertension</th>\n",
       "      <th>False</th>\n",
       "      <td>100 (21.1)</td>\n",
       "      <td>300 (63.2)</td>\n",
       "      <td>90 (18.9)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>45 (9.5)</td>\n",
       "      <td>75 (15.8)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>55 (11.6)</td>\n",
       "      <td>110 (23.2)</td>\n",
       "      <td>90 (18.9)</td>\n",
       "      <td>50 (10.5)</td>\n",
       "      <td>110 (23.2)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>45 (9.5)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>280 (58.9)</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">learning_disability</th>\n",
       "      <th>False</th>\n",
       "      <td>100 (21.1)</td>\n",
       "      <td>300 (63.2)</td>\n",
       "      <td>90 (18.9)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>45 (9.5)</td>\n",
       "      <td>80 (16.8)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>55 (11.6)</td>\n",
       "      <td>105 (22.1)</td>\n",
       "      <td>90 (18.9)</td>\n",
       "      <td>50 (10.5)</td>\n",
       "      <td>110 (23.2)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>40 (8.4)</td>\n",
       "      <td>95 (20.0)</td>\n",
       "      <td>275 (57.9)</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             White 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                    100 (20.8)   \n",
       "age_band            0-19                             10 (20.0)   \n",
       "                    20-29                            10 (14.3)   \n",
       "                    30-39                                - (-)   \n",
       "                    40-49                            15 (30.0)   \n",
       "                    50-59                            15 (30.0)   \n",
       "                    60-69                            20 (28.6)   \n",
       "                    70-79                            15 (23.1)   \n",
       "                    80+                              15 (23.1)   \n",
       "sex                 F                                55 (22.0)   \n",
       "                    M                                45 (19.6)   \n",
       "region              East Midlands                        - (-)   \n",
       "                    East of England                      - (-)   \n",
       "                    London                           15 (20.0)   \n",
       "                    North East                           - (-)   \n",
       "                    North West                           - (-)   \n",
       "                    South East                       10 (22.2)   \n",
       "                    West Midlands                    10 (28.6)   \n",
       "                    Yorkshire and the Humber         10 (25.0)   \n",
       "imd                 1 Most deprived                  15 (17.6)   \n",
       "                    2                                20 (23.5)   \n",
       "                    3                                20 (18.2)   \n",
       "                    4                                25 (25.0)   \n",
       "                    5 Least deprived                 20 (21.1)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            False                            95 (20.0)   \n",
       "                    True                                 - (-)   \n",
       "diabetes            False                           100 (21.1)   \n",
       "                    True                                 - (-)   \n",
       "hypertension        False                           100 (21.1)   \n",
       "                    True                                 - (-)   \n",
       "learning_disability False                           100 (21.1)   \n",
       "                    True                                 - (-)   \n",
       "\n",
       "                                             White 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                      300 (62.5)   \n",
       "age_band            0-19                               35 (70.0)   \n",
       "                    20-29                              45 (64.3)   \n",
       "                    30-39                              45 (81.8)   \n",
       "                    40-49                              35 (70.0)   \n",
       "                    50-59                              35 (70.0)   \n",
       "                    60-69                              35 (50.0)   \n",
       "                    70-79                              35 (53.8)   \n",
       "                    80+                                40 (61.5)   \n",
       "sex                 F                                 150 (60.0)   \n",
       "                    M                                 150 (65.2)   \n",
       "region              East Midlands                      10 (40.0)   \n",
       "                    East of England                    25 (71.4)   \n",
       "                    London                             50 (66.7)   \n",
       "                    North East                         10 (40.0)   \n",
       "                    North West                         15 (42.9)   \n",
       "                    South East                         30 (66.7)   \n",
       "                    West Midlands                      20 (57.1)   \n",
       "                    Yorkshire and the Humber           25 (62.5)   \n",
       "imd                 1 Most deprived                    60 (70.6)   \n",
       "                    2                                  50 (58.8)   \n",
       "                    3                                  70 (63.6)   \n",
       "                    4                                  60 (60.0)   \n",
       "                    5 Least deprived                   60 (63.2)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            False                             300 (63.2)   \n",
       "                    True                                   - (-)   \n",
       "diabetes            False                             300 (63.2)   \n",
       "                    True                                   - (-)   \n",
       "hypertension        False                             300 (63.2)   \n",
       "                    True                                   - (-)   \n",
       "learning_disability False                             300 (63.2)   \n",
       "                    True                                   - (-)   \n",
       "\n",
       "                                             White 5 PRIMIS:2021  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                       90 (18.8)   \n",
       "age_band            0-19                               15 (30.0)   \n",
       "                    20-29                              10 (14.3)   \n",
       "                    30-39                              15 (27.3)   \n",
       "                    40-49                              15 (30.0)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                              10 (14.3)   \n",
       "                    70-79                              15 (23.1)   \n",
       "                    80+                                10 (15.4)   \n",
       "sex                 F                                  50 (20.0)   \n",
       "                    M                                  40 (17.4)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                    10 (28.6)   \n",
       "                    London                             15 (20.0)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                         10 (28.6)   \n",
       "                    South East                             - (-)   \n",
       "                    West Midlands                      10 (28.6)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                    10 (11.8)   \n",
       "                    2                                  25 (29.4)   \n",
       "                    3                                  25 (22.7)   \n",
       "                    4                                  15 (15.0)   \n",
       "                    5 Least deprived                   15 (15.8)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            False                              90 (18.9)   \n",
       "                    True                                   - (-)   \n",
       "diabetes            False                              90 (18.9)   \n",
       "                    True                                   - (-)   \n",
       "hypertension        False                              90 (18.9)   \n",
       "                    True                                   - (-)   \n",
       "learning_disability False                              90 (18.9)   \n",
       "                    True                                   - (-)   \n",
       "\n",
       "                                             Mixed 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                     95 (19.8)   \n",
       "age_band            0-19                             10 (20.0)   \n",
       "                    20-29                            20 (28.6)   \n",
       "                    30-39                            10 (18.2)   \n",
       "                    40-49                                - (-)   \n",
       "                    50-59                            10 (20.0)   \n",
       "                    60-69                            10 (14.3)   \n",
       "                    70-79                            15 (23.1)   \n",
       "                    80+                              15 (23.1)   \n",
       "sex                 F                                40 (16.0)   \n",
       "                    M                                55 (23.9)   \n",
       "region              East Midlands                        - (-)   \n",
       "                    East of England                      - (-)   \n",
       "                    London                           15 (20.0)   \n",
       "                    North East                           - (-)   \n",
       "                    North West                       10 (28.6)   \n",
       "                    South East                       10 (22.2)   \n",
       "                    West Midlands                        - (-)   \n",
       "                    Yorkshire and the Humber         10 (25.0)   \n",
       "imd                 1 Most deprived                  20 (23.5)   \n",
       "                    2                                20 (23.5)   \n",
       "                    3                                15 (13.6)   \n",
       "                    4                                15 (15.0)   \n",
       "                    5 Least deprived                 20 (21.1)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            False                            95 (20.0)   \n",
       "                    True                                 - (-)   \n",
       "diabetes            False                            95 (20.0)   \n",
       "                    True                                 - (-)   \n",
       "hypertension        False                            95 (20.0)   \n",
       "                    True                                 - (-)   \n",
       "learning_disability False                            95 (20.0)   \n",
       "                    True                                 - (-)   \n",
       "\n",
       "                                             Mixed 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                        45 (9.4)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                                  - (-)   \n",
       "                    30-39                                  - (-)   \n",
       "                    40-49                                  - (-)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                              10 (14.3)   \n",
       "                    70-79                                  - (-)   \n",
       "                    80+                                10 (15.4)   \n",
       "sex                 F                                  25 (10.0)   \n",
       "                    M                                   20 (8.7)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                             10 (13.3)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                        - (-)   \n",
       "                    2                                  10 (11.8)   \n",
       "                    3                                   10 (9.1)   \n",
       "                    4                                  10 (10.0)   \n",
       "                    5 Least deprived                   10 (10.5)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            False                               45 (9.5)   \n",
       "                    True                                   - (-)   \n",
       "diabetes            False                               45 (9.5)   \n",
       "                    True                                   - (-)   \n",
       "hypertension        False                               45 (9.5)   \n",
       "                    True                                   - (-)   \n",
       "learning_disability False                               45 (9.5)   \n",
       "                    True                                   - (-)   \n",
       "\n",
       "                                             Mixed 5 PRIMIS:2021  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                       80 (16.7)   \n",
       "age_band            0-19                               10 (20.0)   \n",
       "                    20-29                              10 (14.3)   \n",
       "                    30-39                              10 (18.2)   \n",
       "                    40-49                              10 (20.0)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                              10 (14.3)   \n",
       "                    70-79                              10 (15.4)   \n",
       "                    80+                                15 (23.1)   \n",
       "sex                 F                                  45 (18.0)   \n",
       "                    M                                  35 (15.2)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                             15 (20.0)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    West Midlands                      10 (28.6)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                    15 (17.6)   \n",
       "                    2                                  15 (17.6)   \n",
       "                    3                                  20 (18.2)   \n",
       "                    4                                  20 (20.0)   \n",
       "                    5 Least deprived                   15 (15.8)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            False                              80 (16.8)   \n",
       "                    True                                   - (-)   \n",
       "diabetes            False                              75 (15.8)   \n",
       "                    True                                   - (-)   \n",
       "hypertension        False                              75 (15.8)   \n",
       "                    True                                   - (-)   \n",
       "learning_disability False                              80 (16.8)   \n",
       "                    True                                   - (-)   \n",
       "\n",
       "                                             Asian 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                     95 (19.8)   \n",
       "age_band            0-19                             10 (20.0)   \n",
       "                    20-29                            20 (28.6)   \n",
       "                    30-39                            10 (18.2)   \n",
       "                    40-49                                - (-)   \n",
       "                    50-59                            10 (20.0)   \n",
       "                    60-69                            20 (28.6)   \n",
       "                    70-79                            10 (15.4)   \n",
       "                    80+                              10 (15.4)   \n",
       "sex                 F                                55 (22.0)   \n",
       "                    M                                40 (17.4)   \n",
       "region              East Midlands                        - (-)   \n",
       "                    East of England                  15 (42.9)   \n",
       "                    London                           15 (20.0)   \n",
       "                    North East                           - (-)   \n",
       "                    North West                       10 (28.6)   \n",
       "                    South East                           - (-)   \n",
       "                    West Midlands                        - (-)   \n",
       "                    Yorkshire and the Humber         10 (25.0)   \n",
       "imd                 1 Most deprived                  20 (23.5)   \n",
       "                    2                                15 (17.6)   \n",
       "                    3                                25 (22.7)   \n",
       "                    4                                15 (15.0)   \n",
       "                    5 Least deprived                 20 (21.1)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            False                            95 (20.0)   \n",
       "                    True                                 - (-)   \n",
       "diabetes            False                            95 (20.0)   \n",
       "                    True                                 - (-)   \n",
       "hypertension        False                            95 (20.0)   \n",
       "                    True                                 - (-)   \n",
       "learning_disability False                            95 (20.0)   \n",
       "                    True                                 - (-)   \n",
       "\n",
       "                                             Asian 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                       55 (11.5)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                                  - (-)   \n",
       "                    30-39                                  - (-)   \n",
       "                    40-49                                  - (-)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                              10 (14.3)   \n",
       "                    70-79                                  - (-)   \n",
       "                    80+                                    - (-)   \n",
       "sex                 F                                  25 (10.0)   \n",
       "                    M                                  25 (10.9)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                                 - (-)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                    10 (11.8)   \n",
       "                    2                                      - (-)   \n",
       "                    3                                   10 (9.1)   \n",
       "                    4                                      - (-)   \n",
       "                    5 Least deprived                   15 (15.8)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            False                              55 (11.6)   \n",
       "                    True                                   - (-)   \n",
       "diabetes            False                              55 (11.6)   \n",
       "                    True                                   - (-)   \n",
       "hypertension        False                              55 (11.6)   \n",
       "                    True                                   - (-)   \n",
       "learning_disability False                              55 (11.6)   \n",
       "                    True                                   - (-)   \n",
       "\n",
       "                                             Asian 5 PRIMIS:2021  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                      110 (22.9)   \n",
       "age_band            0-19                               15 (30.0)   \n",
       "                    20-29                              20 (28.6)   \n",
       "                    30-39                              10 (18.2)   \n",
       "                    40-49                              10 (20.0)   \n",
       "                    50-59                              15 (30.0)   \n",
       "                    60-69                              15 (21.4)   \n",
       "                    70-79                              15 (23.1)   \n",
       "                    80+                                15 (23.1)   \n",
       "sex                 F                                  50 (20.0)   \n",
       "                    M                                  60 (26.1)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                    10 (28.6)   \n",
       "                    London                             20 (26.7)   \n",
       "                    North East                         10 (40.0)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                         15 (33.3)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber           10 (25.0)   \n",
       "imd                 1 Most deprived                    20 (23.5)   \n",
       "                    2                                  30 (35.3)   \n",
       "                    3                                  20 (18.2)   \n",
       "                    4                                  25 (25.0)   \n",
       "                    5 Least deprived                   15 (15.8)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            False                             110 (23.2)   \n",
       "                    True                                   - (-)   \n",
       "diabetes            False                             110 (23.2)   \n",
       "                    True                                   - (-)   \n",
       "hypertension        False                             110 (23.2)   \n",
       "                    True                                   - (-)   \n",
       "learning_disability False                             105 (22.1)   \n",
       "                    True                                   - (-)   \n",
       "\n",
       "                                             Black 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                     90 (18.8)   \n",
       "age_band            0-19                             10 (20.0)   \n",
       "                    20-29                            10 (14.3)   \n",
       "                    30-39                            15 (27.3)   \n",
       "                    40-49                            15 (30.0)   \n",
       "                    50-59                                - (-)   \n",
       "                    60-69                            10 (14.3)   \n",
       "                    70-79                            10 (15.4)   \n",
       "                    80+                              15 (23.1)   \n",
       "sex                 F                                50 (20.0)   \n",
       "                    M                                40 (17.4)   \n",
       "region              East Midlands                        - (-)   \n",
       "                    East of England                  10 (28.6)   \n",
       "                    London                           15 (20.0)   \n",
       "                    North East                           - (-)   \n",
       "                    North West                           - (-)   \n",
       "                    South East                       10 (22.2)   \n",
       "                    West Midlands                        - (-)   \n",
       "                    Yorkshire and the Humber             - (-)   \n",
       "imd                 1 Most deprived                  20 (23.5)   \n",
       "                    2                                15 (17.6)   \n",
       "                    3                                25 (22.7)   \n",
       "                    4                                20 (20.0)   \n",
       "                    5 Least deprived                 15 (15.8)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            False                            90 (18.9)   \n",
       "                    True                                 - (-)   \n",
       "diabetes            False                            90 (18.9)   \n",
       "                    True                                 - (-)   \n",
       "hypertension        False                            90 (18.9)   \n",
       "                    True                                 - (-)   \n",
       "learning_disability False                            90 (18.9)   \n",
       "                    True                                 - (-)   \n",
       "\n",
       "                                             Black 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                       50 (10.4)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                                  - (-)   \n",
       "                    30-39                                  - (-)   \n",
       "                    40-49                                  - (-)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                              10 (14.3)   \n",
       "                    70-79                              10 (15.4)   \n",
       "                    80+                                10 (15.4)   \n",
       "sex                 F                                  30 (12.0)   \n",
       "                    M                                   20 (8.7)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                             10 (13.3)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                    10 (11.8)   \n",
       "                    2                                  10 (11.8)   \n",
       "                    3                                  15 (13.6)   \n",
       "                    4                                  10 (10.0)   \n",
       "                    5 Least deprived                       - (-)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            False                              50 (10.5)   \n",
       "                    True                                   - (-)   \n",
       "diabetes            False                              50 (10.5)   \n",
       "                    True                                   - (-)   \n",
       "hypertension        False                              50 (10.5)   \n",
       "                    True                                   - (-)   \n",
       "learning_disability False                              50 (10.5)   \n",
       "                    True                                   - (-)   \n",
       "\n",
       "                                             Black 5 PRIMIS:2021  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                      110 (22.9)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                              10 (14.3)   \n",
       "                    30-39                              15 (27.3)   \n",
       "                    40-49                              10 (20.0)   \n",
       "                    50-59                              15 (30.0)   \n",
       "                    60-69                              20 (28.6)   \n",
       "                    70-79                              15 (23.1)   \n",
       "                    80+                                15 (23.1)   \n",
       "sex                 F                                  50 (20.0)   \n",
       "                    M                                  60 (26.1)   \n",
       "region              East Midlands                      10 (40.0)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                             15 (20.0)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                         10 (28.6)   \n",
       "                    South East                         10 (22.2)   \n",
       "                    West Midlands                      10 (28.6)   \n",
       "                    Yorkshire and the Humber           15 (37.5)   \n",
       "imd                 1 Most deprived                    15 (17.6)   \n",
       "                    2                                  20 (23.5)   \n",
       "                    3                                  30 (27.3)   \n",
       "                    4                                  25 (25.0)   \n",
       "                    5 Least deprived                   25 (26.3)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            False                             105 (22.1)   \n",
       "                    True                                   - (-)   \n",
       "diabetes            False                             110 (23.2)   \n",
       "                    True                                   - (-)   \n",
       "hypertension        False                             110 (23.2)   \n",
       "                    True                                   - (-)   \n",
       "learning_disability False                             110 (23.2)   \n",
       "                    True                                   - (-)   \n",
       "\n",
       "                                             Other 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                    100 (20.8)   \n",
       "age_band            0-19                             10 (20.0)   \n",
       "                    20-29                            15 (21.4)   \n",
       "                    30-39                            15 (27.3)   \n",
       "                    40-49                                - (-)   \n",
       "                    50-59                            10 (20.0)   \n",
       "                    60-69                            15 (21.4)   \n",
       "                    70-79                            15 (23.1)   \n",
       "                    80+                              10 (15.4)   \n",
       "sex                 F                                50 (20.0)   \n",
       "                    M                                45 (19.6)   \n",
       "region              East Midlands                    10 (40.0)   \n",
       "                    East of England                      - (-)   \n",
       "                    London                           15 (20.0)   \n",
       "                    North East                           - (-)   \n",
       "                    North West                           - (-)   \n",
       "                    South East                       10 (22.2)   \n",
       "                    West Midlands                        - (-)   \n",
       "                    Yorkshire and the Humber         10 (25.0)   \n",
       "imd                 1 Most deprived                  15 (17.6)   \n",
       "                    2                                20 (23.5)   \n",
       "                    3                                20 (18.2)   \n",
       "                    4                                25 (25.0)   \n",
       "                    5 Least deprived                 20 (21.1)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            False                            95 (20.0)   \n",
       "                    True                                 - (-)   \n",
       "diabetes            False                            95 (20.0)   \n",
       "                    True                                 - (-)   \n",
       "hypertension        False                            95 (20.0)   \n",
       "                    True                                 - (-)   \n",
       "learning_disability False                            95 (20.0)   \n",
       "                    True                                 - (-)   \n",
       "\n",
       "                                             Other 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                        45 (9.4)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                              10 (14.3)   \n",
       "                    30-39                                  - (-)   \n",
       "                    40-49                                  - (-)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                                  - (-)   \n",
       "                    70-79                                  - (-)   \n",
       "                    80+                                    - (-)   \n",
       "sex                 F                                   20 (8.0)   \n",
       "                    M                                   20 (8.7)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                                 - (-)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                        - (-)   \n",
       "                    2                                  10 (11.8)   \n",
       "                    3                                   10 (9.1)   \n",
       "                    4                                  10 (10.0)   \n",
       "                    5 Least deprived                       - (-)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            False                               40 (8.4)   \n",
       "                    True                                   - (-)   \n",
       "diabetes            False                               45 (9.5)   \n",
       "                    True                                   - (-)   \n",
       "hypertension        False                               45 (9.5)   \n",
       "                    True                                   - (-)   \n",
       "learning_disability False                               40 (8.4)   \n",
       "                    True                                   - (-)   \n",
       "\n",
       "                                             Other 5 PRIMIS:2021  all filled  \\\n",
       "group               subgroup                                                   \n",
       "all                 with records                       95 (19.8)  280 (58.3)   \n",
       "age_band            0-19                               10 (20.0)   35 (70.0)   \n",
       "                    20-29                              20 (28.6)   35 (50.0)   \n",
       "                    30-39                              10 (18.2)   35 (63.6)   \n",
       "                    40-49                              15 (30.0)   30 (60.0)   \n",
       "                    50-59                                  - (-)   25 (50.0)   \n",
       "                    60-69                              10 (14.3)   40 (57.1)   \n",
       "                    70-79                              10 (15.4)   40 (61.5)   \n",
       "                    80+                                15 (23.1)   35 (53.8)   \n",
       "sex                 F                                  45 (18.0)  145 (58.0)   \n",
       "                    M                                  45 (19.6)  135 (58.7)   \n",
       "region              East Midlands                          - (-)   15 (60.0)   \n",
       "                    East of England                        - (-)   20 (57.1)   \n",
       "                    London                             10 (13.3)   45 (60.0)   \n",
       "                    North East                         10 (40.0)   15 (60.0)   \n",
       "                    North West                             - (-)   20 (57.1)   \n",
       "                    South East                         10 (22.2)   25 (55.6)   \n",
       "                    West Midlands                          - (-)   15 (42.9)   \n",
       "                    Yorkshire and the Humber           10 (25.0)   25 (62.5)   \n",
       "imd                 1 Most deprived                    20 (23.5)   45 (52.9)   \n",
       "                    2                                  15 (17.6)   50 (58.8)   \n",
       "                    3                                  15 (13.6)   70 (63.6)   \n",
       "                    4                                  20 (20.0)   55 (55.0)   \n",
       "                    5 Least deprived                   25 (26.3)   55 (57.9)   \n",
       "                    Unknown                                - (-)       - (-)   \n",
       "dementia            False                              95 (20.0)  280 (58.9)   \n",
       "                    True                                   - (-)       - (-)   \n",
       "diabetes            False                              95 (20.0)  275 (57.9)   \n",
       "                    True                                   - (-)       - (-)   \n",
       "hypertension        False                              95 (20.0)  280 (58.9)   \n",
       "                    True                                   - (-)       - (-)   \n",
       "learning_disability False                              95 (20.0)  275 (57.9)   \n",
       "                    True                                   - (-)       - (-)   \n",
       "\n",
       "                                             population  \n",
       "group               subgroup                             \n",
       "all                 with records                    480  \n",
       "age_band            0-19                             50  \n",
       "                    20-29                            70  \n",
       "                    30-39                            55  \n",
       "                    40-49                            50  \n",
       "                    50-59                            50  \n",
       "                    60-69                            70  \n",
       "                    70-79                            65  \n",
       "                    80+                              65  \n",
       "sex                 F                               250  \n",
       "                    M                               230  \n",
       "region              East Midlands                    25  \n",
       "                    East of England                  35  \n",
       "                    London                           75  \n",
       "                    North East                       25  \n",
       "                    North West                       35  \n",
       "                    South East                       45  \n",
       "                    West Midlands                    35  \n",
       "                    Yorkshire and the Humber         40  \n",
       "imd                 1 Most deprived                  85  \n",
       "                    2                                85  \n",
       "                    3                               110  \n",
       "                    4                               100  \n",
       "                    5 Least deprived                 95  \n",
       "                    Unknown                           -  \n",
       "dementia            False                           475  \n",
       "                    True                              -  \n",
       "diabetes            False                           475  \n",
       "                    True                              -  \n",
       "hypertension        False                           475  \n",
       "                    True                              -  \n",
       "learning_disability False                           475  \n",
       "                    True                              -  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "local_patient_counts(\n",
    "         definitions_5,  output_path_5,code_dict_5, categories=True,missing=False\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "The `2022-SNOMED` codelist is most well-populated for `White` (300), `Mixed` (45), `Asian` (55) and `Black` (50) ethnicities. The `2020-CTV3` codelist classifies more people as `Other` than the `2022-SNOMED` codelist (100 and 45 respectively), however, the `2020-CTV3` codelist includes some codes relating to religion rather than ethnicity (e.g. “XaJSe: Muslim - ethnic category 2001 census”) which were excluded from the `2022-SNOMED` codelist.\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"\"\"\n",
    "The `2022-SNOMED` codelist is most well-populated for `White` ({'{:,.0f}'.format(float('{:,.3g}'.format(df_append_cat_5[\"White_ethnicity_new_5_filled\"][0])))}), `Mixed` ({'{:,.0f}'.format(float('{:,.3g}'.format(df_append_cat_5[\"Mixed_ethnicity_new_5_filled\"][0])))}), `Asian` ({'{:,.0f}'.format(float('{:,.3g}'.format(df_append_cat_5[\"Asian_ethnicity_new_5_filled\"][0])))}) and `Black` ({'{:,.0f}'.format(float('{:,.3g}'.format(df_append_cat_5[\"Black_ethnicity_new_5_filled\"][0])))}) ethnicities. The `2020-CTV3` codelist classifies more people as `Other` than the `2022-SNOMED` codelist ({'{:,.0f}'.format(float('{:,.3g}'.format(df_append_cat_5[\"Other_ethnicity_5_filled\"][0])))} and {'{:,.0f}'.format(float('{:,.3g}'.format(df_append_cat_5[\"Other_ethnicity_new_5_filled\"][0])))} respectively), however, the `2020-CTV3` codelist includes some codes relating to religion rather than ethnicity (e.g. “XaJSe: Muslim - ethnic category 2001 census”) which were excluded from the `2022-SNOMED` codelist.\n",
    "\"\"\"))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 16 group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "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></th>\n",
       "      <th>White British 16 CTV3:2020</th>\n",
       "      <th>White British 16 SNOMED:2022</th>\n",
       "      <th>White British 16 PRIMIS:2021</th>\n",
       "      <th>White Irish 16 CTV3:2020</th>\n",
       "      <th>White Irish 16 SNOMED:2022</th>\n",
       "      <th>White Irish 16 PRIMIS:2021</th>\n",
       "      <th>Other White 16 CTV3:2020</th>\n",
       "      <th>Other White 16 SNOMED:2022</th>\n",
       "      <th>Other White 16 PRIMIS:2021</th>\n",
       "      <th>White and Black Caribbean 16 CTV3:2020</th>\n",
       "      <th>White and Black Caribbean 16 SNOMED:2022</th>\n",
       "      <th>White and Black Caribbean 16 PRIMIS:2021</th>\n",
       "      <th>White and Black African 16 CTV3:2020</th>\n",
       "      <th>White and Black African 16 SNOMED:2022</th>\n",
       "      <th>White and Black African 16 PRIMIS:2021</th>\n",
       "      <th>White and Asian 16 CTV3:2020</th>\n",
       "      <th>White and Asian 16 SNOMED:2022</th>\n",
       "      <th>White and Asian 16 PRIMIS:2021</th>\n",
       "      <th>Other Mixed 16 CTV3:2020</th>\n",
       "      <th>Other Mixed 16 SNOMED:2022</th>\n",
       "      <th>Other Mixed 16 PRIMIS:2021</th>\n",
       "      <th>Indian 16 CTV3:2020</th>\n",
       "      <th>Indian 16 SNOMED:2022</th>\n",
       "      <th>Indian 16 PRIMIS:2021</th>\n",
       "      <th>Pakistani 16 CTV3:2020</th>\n",
       "      <th>Pakistani 16 SNOMED:2022</th>\n",
       "      <th>Pakistani 16 PRIMIS:2021</th>\n",
       "      <th>Bangladeshi 16 CTV3:2020</th>\n",
       "      <th>Bangladeshi 16 SNOMED:2022</th>\n",
       "      <th>Bangladeshi 16 PRIMIS:2021</th>\n",
       "      <th>Other Asian 16 CTV3:2020</th>\n",
       "      <th>Other Asian 16 SNOMED:2022</th>\n",
       "      <th>Other Asian 16 PRIMIS:2021</th>\n",
       "      <th>Caribbean 16 CTV3:2020</th>\n",
       "      <th>Caribbean 16 SNOMED:2022</th>\n",
       "      <th>Caribbean 16 PRIMIS:2021</th>\n",
       "      <th>African 16 CTV3:2020</th>\n",
       "      <th>African 16 SNOMED:2022</th>\n",
       "      <th>African 16 PRIMIS:2021</th>\n",
       "      <th>Other Black 16 CTV3:2020</th>\n",
       "      <th>Other Black 16 SNOMED:2022</th>\n",
       "      <th>Other Black 16 PRIMIS:2021</th>\n",
       "      <th>Chinese 16 CTV3:2020</th>\n",
       "      <th>Chinese 16 SNOMED:2022</th>\n",
       "      <th>Chinese 16 PRIMIS:2021</th>\n",
       "      <th>Any other ethnic group 16 CTV3:2020</th>\n",
       "      <th>Any other ethnic group 16 SNOMED:2022</th>\n",
       "      <th>Any other ethnic group 16 PRIMIS:2021</th>\n",
       "      <th>all filled</th>\n",
       "      <th>population</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>group</th>\n",
       "      <th>subgroup</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <th>with records</th>\n",
       "      <td>25 (5.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>25 (5.0)</td>\n",
       "      <td>25 (5.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>25 (5.0)</td>\n",
       "      <td>25 (5.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>25 (5.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>25 (5.0)</td>\n",
       "      <td>40 (8.0)</td>\n",
       "      <td>20 (4.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>25 (5.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>40 (8.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>25 (5.0)</td>\n",
       "      <td>25 (5.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>40 (8.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>25 (5.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>30 (6.0)</td>\n",
       "      <td>35 (7.0)</td>\n",
       "      <td>25 (5.0)</td>\n",
       "      <td>285 (57.0)</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">age_band</th>\n",
       "      <th>0-19</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>35 (58.3)</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20-29</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>35 (50.0)</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30-39</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>30 (50.0)</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40-49</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>30 (54.5)</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50-59</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>35 (58.3)</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60-69</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>45 (64.3)</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70-79</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>30 (50.0)</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80+</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (21.4)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>45 (64.3)</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
       "      <th>F</th>\n",
       "      <td>10 (3.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>10 (3.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>10 (3.8)</td>\n",
       "      <td>10 (3.8)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>25 (9.6)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>10 (3.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>10 (3.8)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>10 (3.8)</td>\n",
       "      <td>10 (3.8)</td>\n",
       "      <td>10 (3.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>15 (5.8)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>20 (7.7)</td>\n",
       "      <td>150 (57.7)</td>\n",
       "      <td>260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>10 (4.2)</td>\n",
       "      <td>10 (4.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>10 (4.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>10 (4.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>10 (4.2)</td>\n",
       "      <td>20 (8.3)</td>\n",
       "      <td>10 (4.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>20 (8.3)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>10 (4.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>25 (10.4)</td>\n",
       "      <td>20 (8.3)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>20 (8.3)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>10 (4.2)</td>\n",
       "      <td>10 (4.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>20 (8.3)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>25 (10.4)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>10 (4.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>135 (56.2)</td>\n",
       "      <td>240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">region</th>\n",
       "      <th>East Midlands</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (60.0)</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East of England</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (42.9)</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>London</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>40 (53.3)</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North East</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (50.0)</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North West</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (42.9)</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South East</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (55.6)</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Midlands</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (57.1)</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yorkshire and the Humber</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>30 (75.0)</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">imd</th>\n",
       "      <th>1 Most deprived</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>45 (50.0)</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>45 (52.9)</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>15 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>15 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>75 (62.5)</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>50 (50.0)</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 Least deprived</th>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>65 (68.4)</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unknown</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">dementia</th>\n",
       "      <th>False</th>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>40 (8.2)</td>\n",
       "      <td>20 (4.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>40 (8.2)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>40 (8.2)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>280 (57.1)</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">diabetes</th>\n",
       "      <th>False</th>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>40 (8.1)</td>\n",
       "      <td>20 (4.0)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>40 (8.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>40 (8.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>280 (56.6)</td>\n",
       "      <td>495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">hypertension</th>\n",
       "      <th>False</th>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>40 (8.1)</td>\n",
       "      <td>20 (4.0)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>40 (8.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>40 (8.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>280 (56.6)</td>\n",
       "      <td>495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">learning_disability</th>\n",
       "      <th>False</th>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>40 (8.1)</td>\n",
       "      <td>20 (4.0)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>40 (8.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>40 (8.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>280 (56.6)</td>\n",
       "      <td>495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             White British 16 CTV3:2020  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               25 (5.0)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          10 (3.8)   \n",
       "                    M                                          15 (6.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                          10 (10.5)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "diabetes            False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "hypertension        False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "learning_disability False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "\n",
       "                                             White British 16 SNOMED:2022  \\\n",
       "group               subgroup                                                \n",
       "all                 with records                                 30 (6.0)   \n",
       "age_band            0-19                                            - (-)   \n",
       "                    20-29                                           - (-)   \n",
       "                    30-39                                           - (-)   \n",
       "                    40-49                                           - (-)   \n",
       "                    50-59                                           - (-)   \n",
       "                    60-69                                           - (-)   \n",
       "                    70-79                                           - (-)   \n",
       "                    80+                                             - (-)   \n",
       "sex                 F                                            15 (5.8)   \n",
       "                    M                                            15 (6.2)   \n",
       "region              East Midlands                                   - (-)   \n",
       "                    East of England                                 - (-)   \n",
       "                    London                                          - (-)   \n",
       "                    North East                                      - (-)   \n",
       "                    North West                                      - (-)   \n",
       "                    South East                                      - (-)   \n",
       "                    West Midlands                                   - (-)   \n",
       "                    Yorkshire and the Humber                        - (-)   \n",
       "imd                 1 Most deprived                                 - (-)   \n",
       "                    2                                               - (-)   \n",
       "                    3                                            10 (8.3)   \n",
       "                    4                                           10 (10.0)   \n",
       "                    5 Least deprived                                - (-)   \n",
       "                    Unknown                                         - (-)   \n",
       "dementia            False                                        30 (6.1)   \n",
       "                    True                                            - (-)   \n",
       "diabetes            False                                        30 (6.1)   \n",
       "                    True                                            - (-)   \n",
       "hypertension        False                                        30 (6.1)   \n",
       "                    True                                            - (-)   \n",
       "learning_disability False                                        30 (6.1)   \n",
       "                    True                                            - (-)   \n",
       "\n",
       "                                             White British 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                \n",
       "all                 with records                                 35 (7.0)   \n",
       "age_band            0-19                                            - (-)   \n",
       "                    20-29                                           - (-)   \n",
       "                    30-39                                           - (-)   \n",
       "                    40-49                                           - (-)   \n",
       "                    50-59                                           - (-)   \n",
       "                    60-69                                           - (-)   \n",
       "                    70-79                                           - (-)   \n",
       "                    80+                                             - (-)   \n",
       "sex                 F                                            20 (7.7)   \n",
       "                    M                                            15 (6.2)   \n",
       "region              East Midlands                                   - (-)   \n",
       "                    East of England                                 - (-)   \n",
       "                    London                                          - (-)   \n",
       "                    North East                                      - (-)   \n",
       "                    North West                                      - (-)   \n",
       "                    South East                                      - (-)   \n",
       "                    West Midlands                                   - (-)   \n",
       "                    Yorkshire and the Humber                        - (-)   \n",
       "imd                 1 Most deprived                                 - (-)   \n",
       "                    2                                               - (-)   \n",
       "                    3                                            10 (8.3)   \n",
       "                    4                                               - (-)   \n",
       "                    5 Least deprived                            10 (10.5)   \n",
       "                    Unknown                                         - (-)   \n",
       "dementia            False                                        35 (7.1)   \n",
       "                    True                                            - (-)   \n",
       "diabetes            False                                        35 (7.1)   \n",
       "                    True                                            - (-)   \n",
       "hypertension        False                                        35 (7.1)   \n",
       "                    True                                            - (-)   \n",
       "learning_disability False                                        35 (7.1)   \n",
       "                    True                                            - (-)   \n",
       "\n",
       "                                             White Irish 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             35 (7.0)   \n",
       "age_band            0-19                                        - (-)   \n",
       "                    20-29                                       - (-)   \n",
       "                    30-39                                       - (-)   \n",
       "                    40-49                                       - (-)   \n",
       "                    50-59                                       - (-)   \n",
       "                    60-69                                       - (-)   \n",
       "                    70-79                                       - (-)   \n",
       "                    80+                                         - (-)   \n",
       "sex                 F                                        20 (7.7)   \n",
       "                    M                                        15 (6.2)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                           - (-)   \n",
       "                    3                                       15 (12.5)   \n",
       "                    4                                           - (-)   \n",
       "                    5 Least deprived                        10 (10.5)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "diabetes            False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "hypertension        False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "learning_disability False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "\n",
       "                                             White Irish 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               35 (7.0)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          20 (7.7)   \n",
       "                    M                                          15 (6.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                           10 (11.1)   \n",
       "                    2                                         10 (11.8)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            False                                      35 (7.1)   \n",
       "                    True                                          - (-)   \n",
       "diabetes            False                                      35 (7.1)   \n",
       "                    True                                          - (-)   \n",
       "hypertension        False                                      35 (7.1)   \n",
       "                    True                                          - (-)   \n",
       "learning_disability False                                      35 (7.1)   \n",
       "                    True                                          - (-)   \n",
       "\n",
       "                                             White Irish 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (6.0)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          20 (7.7)   \n",
       "                    M                                          10 (4.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                         10 (10.0)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "diabetes            False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "hypertension        False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "learning_disability False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "\n",
       "                                             Other White 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             25 (5.0)   \n",
       "age_band            0-19                                        - (-)   \n",
       "                    20-29                                       - (-)   \n",
       "                    30-39                                       - (-)   \n",
       "                    40-49                                       - (-)   \n",
       "                    50-59                                       - (-)   \n",
       "                    60-69                                       - (-)   \n",
       "                    70-79                                       - (-)   \n",
       "                    80+                                         - (-)   \n",
       "sex                 F                                        15 (5.8)   \n",
       "                    M                                        10 (4.2)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                           - (-)   \n",
       "                    3                                        10 (8.3)   \n",
       "                    4                                           - (-)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            False                                    25 (5.1)   \n",
       "                    True                                        - (-)   \n",
       "diabetes            False                                    25 (5.1)   \n",
       "                    True                                        - (-)   \n",
       "hypertension        False                                    25 (5.1)   \n",
       "                    True                                        - (-)   \n",
       "learning_disability False                                    25 (5.1)   \n",
       "                    True                                        - (-)   \n",
       "\n",
       "                                             Other White 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               25 (5.0)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          10 (3.8)   \n",
       "                    M                                          15 (6.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                         10 (10.0)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "diabetes            False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "hypertension        False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "learning_disability False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "\n",
       "                                             Other White 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (6.0)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          15 (5.8)   \n",
       "                    M                                          15 (6.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                    10 (13.3)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                           10 (11.1)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                          10 (8.3)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "diabetes            False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "hypertension        False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "learning_disability False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "\n",
       "                                             White and Black Caribbean 16 CTV3:2020  \\\n",
       "group               subgroup                                                          \n",
       "all                 with records                                           30 (6.0)   \n",
       "age_band            0-19                                                      - (-)   \n",
       "                    20-29                                                     - (-)   \n",
       "                    30-39                                                     - (-)   \n",
       "                    40-49                                                     - (-)   \n",
       "                    50-59                                                     - (-)   \n",
       "                    60-69                                                     - (-)   \n",
       "                    70-79                                                     - (-)   \n",
       "                    80+                                                       - (-)   \n",
       "sex                 F                                                      20 (7.7)   \n",
       "                    M                                                      15 (6.2)   \n",
       "region              East Midlands                                             - (-)   \n",
       "                    East of England                                           - (-)   \n",
       "                    London                                                    - (-)   \n",
       "                    North East                                                - (-)   \n",
       "                    North West                                                - (-)   \n",
       "                    South East                                                - (-)   \n",
       "                    West Midlands                                             - (-)   \n",
       "                    Yorkshire and the Humber                                  - (-)   \n",
       "imd                 1 Most deprived                                           - (-)   \n",
       "                    2                                                         - (-)   \n",
       "                    3                                                      10 (8.3)   \n",
       "                    4                                                         - (-)   \n",
       "                    5 Least deprived                                          - (-)   \n",
       "                    Unknown                                                   - (-)   \n",
       "dementia            False                                                  30 (6.1)   \n",
       "                    True                                                      - (-)   \n",
       "diabetes            False                                                  30 (6.1)   \n",
       "                    True                                                      - (-)   \n",
       "hypertension        False                                                  30 (6.1)   \n",
       "                    True                                                      - (-)   \n",
       "learning_disability False                                                  30 (6.1)   \n",
       "                    True                                                      - (-)   \n",
       "\n",
       "                                             White and Black Caribbean 16 SNOMED:2022  \\\n",
       "group               subgroup                                                            \n",
       "all                 with records                                             25 (5.0)   \n",
       "age_band            0-19                                                        - (-)   \n",
       "                    20-29                                                       - (-)   \n",
       "                    30-39                                                       - (-)   \n",
       "                    40-49                                                       - (-)   \n",
       "                    50-59                                                       - (-)   \n",
       "                    60-69                                                       - (-)   \n",
       "                    70-79                                                       - (-)   \n",
       "                    80+                                                         - (-)   \n",
       "sex                 F                                                        10 (3.8)   \n",
       "                    M                                                        15 (6.2)   \n",
       "region              East Midlands                                               - (-)   \n",
       "                    East of England                                             - (-)   \n",
       "                    London                                                      - (-)   \n",
       "                    North East                                                  - (-)   \n",
       "                    North West                                                  - (-)   \n",
       "                    South East                                                  - (-)   \n",
       "                    West Midlands                                               - (-)   \n",
       "                    Yorkshire and the Humber                                    - (-)   \n",
       "imd                 1 Most deprived                                             - (-)   \n",
       "                    2                                                           - (-)   \n",
       "                    3                                                           - (-)   \n",
       "                    4                                                           - (-)   \n",
       "                    5 Least deprived                                        10 (10.5)   \n",
       "                    Unknown                                                     - (-)   \n",
       "dementia            False                                                    25 (5.1)   \n",
       "                    True                                                        - (-)   \n",
       "diabetes            False                                                    25 (5.1)   \n",
       "                    True                                                        - (-)   \n",
       "hypertension        False                                                    25 (5.1)   \n",
       "                    True                                                        - (-)   \n",
       "learning_disability False                                                    25 (5.1)   \n",
       "                    True                                                        - (-)   \n",
       "\n",
       "                                             White and Black Caribbean 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                            \n",
       "all                 with records                                             25 (5.0)   \n",
       "age_band            0-19                                                        - (-)   \n",
       "                    20-29                                                       - (-)   \n",
       "                    30-39                                                       - (-)   \n",
       "                    40-49                                                       - (-)   \n",
       "                    50-59                                                       - (-)   \n",
       "                    60-69                                                       - (-)   \n",
       "                    70-79                                                       - (-)   \n",
       "                    80+                                                         - (-)   \n",
       "sex                 F                                                        10 (3.8)   \n",
       "                    M                                                        15 (6.2)   \n",
       "region              East Midlands                                               - (-)   \n",
       "                    East of England                                             - (-)   \n",
       "                    London                                                      - (-)   \n",
       "                    North East                                                  - (-)   \n",
       "                    North West                                                  - (-)   \n",
       "                    South East                                              10 (22.2)   \n",
       "                    West Midlands                                               - (-)   \n",
       "                    Yorkshire and the Humber                                    - (-)   \n",
       "imd                 1 Most deprived                                             - (-)   \n",
       "                    2                                                           - (-)   \n",
       "                    3                                                           - (-)   \n",
       "                    4                                                           - (-)   \n",
       "                    5 Least deprived                                            - (-)   \n",
       "                    Unknown                                                     - (-)   \n",
       "dementia            False                                                    25 (5.1)   \n",
       "                    True                                                        - (-)   \n",
       "diabetes            False                                                    25 (5.1)   \n",
       "                    True                                                        - (-)   \n",
       "hypertension        False                                                    25 (5.1)   \n",
       "                    True                                                        - (-)   \n",
       "learning_disability False                                                    25 (5.1)   \n",
       "                    True                                                        - (-)   \n",
       "\n",
       "                                             White and Black African 16 CTV3:2020  \\\n",
       "group               subgroup                                                        \n",
       "all                 with records                                         30 (6.0)   \n",
       "age_band            0-19                                                    - (-)   \n",
       "                    20-29                                                   - (-)   \n",
       "                    30-39                                                   - (-)   \n",
       "                    40-49                                                   - (-)   \n",
       "                    50-59                                                   - (-)   \n",
       "                    60-69                                                   - (-)   \n",
       "                    70-79                                                   - (-)   \n",
       "                    80+                                                     - (-)   \n",
       "sex                 F                                                    20 (7.7)   \n",
       "                    M                                                    15 (6.2)   \n",
       "region              East Midlands                                           - (-)   \n",
       "                    East of England                                         - (-)   \n",
       "                    London                                                  - (-)   \n",
       "                    North East                                              - (-)   \n",
       "                    North West                                              - (-)   \n",
       "                    South East                                              - (-)   \n",
       "                    West Midlands                                           - (-)   \n",
       "                    Yorkshire and the Humber                                - (-)   \n",
       "imd                 1 Most deprived                                         - (-)   \n",
       "                    2                                                       - (-)   \n",
       "                    3                                                       - (-)   \n",
       "                    4                                                       - (-)   \n",
       "                    5 Least deprived                                    10 (10.5)   \n",
       "                    Unknown                                                 - (-)   \n",
       "dementia            False                                                30 (6.1)   \n",
       "                    True                                                    - (-)   \n",
       "diabetes            False                                                30 (6.1)   \n",
       "                    True                                                    - (-)   \n",
       "hypertension        False                                                30 (6.1)   \n",
       "                    True                                                    - (-)   \n",
       "learning_disability False                                                30 (6.1)   \n",
       "                    True                                                    - (-)   \n",
       "\n",
       "                                             White and Black African 16 SNOMED:2022  \\\n",
       "group               subgroup                                                          \n",
       "all                 with records                                           35 (7.0)   \n",
       "age_band            0-19                                                      - (-)   \n",
       "                    20-29                                                     - (-)   \n",
       "                    30-39                                                     - (-)   \n",
       "                    40-49                                                     - (-)   \n",
       "                    50-59                                                     - (-)   \n",
       "                    60-69                                                     - (-)   \n",
       "                    70-79                                                     - (-)   \n",
       "                    80+                                                   15 (21.4)   \n",
       "sex                 F                                                      25 (9.6)   \n",
       "                    M                                                      10 (4.2)   \n",
       "region              East Midlands                                             - (-)   \n",
       "                    East of England                                           - (-)   \n",
       "                    London                                                    - (-)   \n",
       "                    North East                                                - (-)   \n",
       "                    North West                                                - (-)   \n",
       "                    South East                                                - (-)   \n",
       "                    West Midlands                                             - (-)   \n",
       "                    Yorkshire and the Humber                                  - (-)   \n",
       "imd                 1 Most deprived                                       10 (11.1)   \n",
       "                    2                                                         - (-)   \n",
       "                    3                                                         - (-)   \n",
       "                    4                                                         - (-)   \n",
       "                    5 Least deprived                                      10 (10.5)   \n",
       "                    Unknown                                                   - (-)   \n",
       "dementia            False                                                  35 (7.1)   \n",
       "                    True                                                      - (-)   \n",
       "diabetes            False                                                  35 (7.1)   \n",
       "                    True                                                      - (-)   \n",
       "hypertension        False                                                  35 (7.1)   \n",
       "                    True                                                      - (-)   \n",
       "learning_disability False                                                  35 (7.1)   \n",
       "                    True                                                      - (-)   \n",
       "\n",
       "                                             White and Black African 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                          \n",
       "all                 with records                                           30 (6.0)   \n",
       "age_band            0-19                                                      - (-)   \n",
       "                    20-29                                                     - (-)   \n",
       "                    30-39                                                     - (-)   \n",
       "                    40-49                                                     - (-)   \n",
       "                    50-59                                                     - (-)   \n",
       "                    60-69                                                     - (-)   \n",
       "                    70-79                                                     - (-)   \n",
       "                    80+                                                       - (-)   \n",
       "sex                 F                                                      15 (5.8)   \n",
       "                    M                                                      15 (6.2)   \n",
       "region              East Midlands                                             - (-)   \n",
       "                    East of England                                           - (-)   \n",
       "                    London                                                    - (-)   \n",
       "                    North East                                                - (-)   \n",
       "                    North West                                                - (-)   \n",
       "                    South East                                                - (-)   \n",
       "                    West Midlands                                             - (-)   \n",
       "                    Yorkshire and the Humber                                  - (-)   \n",
       "imd                 1 Most deprived                                           - (-)   \n",
       "                    2                                                         - (-)   \n",
       "                    3                                                         - (-)   \n",
       "                    4                                                         - (-)   \n",
       "                    5 Least deprived                                      10 (10.5)   \n",
       "                    Unknown                                                   - (-)   \n",
       "dementia            False                                                  30 (6.1)   \n",
       "                    True                                                      - (-)   \n",
       "diabetes            False                                                  30 (6.1)   \n",
       "                    True                                                      - (-)   \n",
       "hypertension        False                                                  30 (6.1)   \n",
       "                    True                                                      - (-)   \n",
       "learning_disability False                                                  30 (6.1)   \n",
       "                    True                                                      - (-)   \n",
       "\n",
       "                                             White and Asian 16 CTV3:2020  \\\n",
       "group               subgroup                                                \n",
       "all                 with records                                 25 (5.0)   \n",
       "age_band            0-19                                            - (-)   \n",
       "                    20-29                                           - (-)   \n",
       "                    30-39                                           - (-)   \n",
       "                    40-49                                           - (-)   \n",
       "                    50-59                                           - (-)   \n",
       "                    60-69                                       10 (14.3)   \n",
       "                    70-79                                           - (-)   \n",
       "                    80+                                             - (-)   \n",
       "sex                 F                                            15 (5.8)   \n",
       "                    M                                            10 (4.2)   \n",
       "region              East Midlands                                   - (-)   \n",
       "                    East of England                                 - (-)   \n",
       "                    London                                          - (-)   \n",
       "                    North East                                      - (-)   \n",
       "                    North West                                      - (-)   \n",
       "                    South East                                      - (-)   \n",
       "                    West Midlands                                   - (-)   \n",
       "                    Yorkshire and the Humber                        - (-)   \n",
       "imd                 1 Most deprived                                 - (-)   \n",
       "                    2                                           10 (11.8)   \n",
       "                    3                                               - (-)   \n",
       "                    4                                               - (-)   \n",
       "                    5 Least deprived                                - (-)   \n",
       "                    Unknown                                         - (-)   \n",
       "dementia            False                                        25 (5.1)   \n",
       "                    True                                            - (-)   \n",
       "diabetes            False                                        25 (5.1)   \n",
       "                    True                                            - (-)   \n",
       "hypertension        False                                        25 (5.1)   \n",
       "                    True                                            - (-)   \n",
       "learning_disability False                                        25 (5.1)   \n",
       "                    True                                            - (-)   \n",
       "\n",
       "                                             White and Asian 16 SNOMED:2022  \\\n",
       "group               subgroup                                                  \n",
       "all                 with records                                   30 (6.0)   \n",
       "age_band            0-19                                              - (-)   \n",
       "                    20-29                                         10 (14.3)   \n",
       "                    30-39                                             - (-)   \n",
       "                    40-49                                             - (-)   \n",
       "                    50-59                                             - (-)   \n",
       "                    60-69                                             - (-)   \n",
       "                    70-79                                             - (-)   \n",
       "                    80+                                               - (-)   \n",
       "sex                 F                                              15 (5.8)   \n",
       "                    M                                              15 (6.2)   \n",
       "region              East Midlands                                     - (-)   \n",
       "                    East of England                                   - (-)   \n",
       "                    London                                            - (-)   \n",
       "                    North East                                        - (-)   \n",
       "                    North West                                        - (-)   \n",
       "                    South East                                        - (-)   \n",
       "                    West Midlands                                     - (-)   \n",
       "                    Yorkshire and the Humber                          - (-)   \n",
       "imd                 1 Most deprived                                   - (-)   \n",
       "                    2                                                 - (-)   \n",
       "                    3                                              10 (8.3)   \n",
       "                    4                                             10 (10.0)   \n",
       "                    5 Least deprived                                  - (-)   \n",
       "                    Unknown                                           - (-)   \n",
       "dementia            False                                          30 (6.1)   \n",
       "                    True                                              - (-)   \n",
       "diabetes            False                                          30 (6.1)   \n",
       "                    True                                              - (-)   \n",
       "hypertension        False                                          30 (6.1)   \n",
       "                    True                                              - (-)   \n",
       "learning_disability False                                          30 (6.1)   \n",
       "                    True                                              - (-)   \n",
       "\n",
       "                                             White and Asian 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                  \n",
       "all                 with records                                   25 (5.0)   \n",
       "age_band            0-19                                              - (-)   \n",
       "                    20-29                                             - (-)   \n",
       "                    30-39                                             - (-)   \n",
       "                    40-49                                             - (-)   \n",
       "                    50-59                                             - (-)   \n",
       "                    60-69                                             - (-)   \n",
       "                    70-79                                             - (-)   \n",
       "                    80+                                               - (-)   \n",
       "sex                 F                                              15 (5.8)   \n",
       "                    M                                              10 (4.2)   \n",
       "region              East Midlands                                     - (-)   \n",
       "                    East of England                                   - (-)   \n",
       "                    London                                            - (-)   \n",
       "                    North East                                        - (-)   \n",
       "                    North West                                        - (-)   \n",
       "                    South East                                        - (-)   \n",
       "                    West Midlands                                     - (-)   \n",
       "                    Yorkshire and the Humber                          - (-)   \n",
       "imd                 1 Most deprived                                   - (-)   \n",
       "                    2                                                 - (-)   \n",
       "                    3                                                 - (-)   \n",
       "                    4                                             10 (10.0)   \n",
       "                    5 Least deprived                                  - (-)   \n",
       "                    Unknown                                           - (-)   \n",
       "dementia            False                                          25 (5.1)   \n",
       "                    True                                              - (-)   \n",
       "diabetes            False                                          25 (5.1)   \n",
       "                    True                                              - (-)   \n",
       "hypertension        False                                          25 (5.1)   \n",
       "                    True                                              - (-)   \n",
       "learning_disability False                                          25 (5.1)   \n",
       "                    True                                              - (-)   \n",
       "\n",
       "                                             Other Mixed 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             40 (8.0)   \n",
       "age_band            0-19                                        - (-)   \n",
       "                    20-29                                       - (-)   \n",
       "                    30-39                                       - (-)   \n",
       "                    40-49                                       - (-)   \n",
       "                    50-59                                       - (-)   \n",
       "                    60-69                                   10 (14.3)   \n",
       "                    70-79                                       - (-)   \n",
       "                    80+                                         - (-)   \n",
       "sex                 F                                        20 (7.7)   \n",
       "                    M                                        20 (8.3)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                         10 (11.1)   \n",
       "                    2                                           - (-)   \n",
       "                    3                                        10 (8.3)   \n",
       "                    4                                       10 (10.0)   \n",
       "                    5 Least deprived                        10 (10.5)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            False                                    40 (8.2)   \n",
       "                    True                                        - (-)   \n",
       "diabetes            False                                    40 (8.1)   \n",
       "                    True                                        - (-)   \n",
       "hypertension        False                                    40 (8.1)   \n",
       "                    True                                        - (-)   \n",
       "learning_disability False                                    40 (8.1)   \n",
       "                    True                                        - (-)   \n",
       "\n",
       "                                             Other Mixed 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               20 (4.0)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          10 (3.8)   \n",
       "                    M                                          10 (4.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            False                                      20 (4.1)   \n",
       "                    True                                          - (-)   \n",
       "diabetes            False                                      20 (4.0)   \n",
       "                    True                                          - (-)   \n",
       "hypertension        False                                      20 (4.0)   \n",
       "                    True                                          - (-)   \n",
       "learning_disability False                                      20 (4.0)   \n",
       "                    True                                          - (-)   \n",
       "\n",
       "                                             Other Mixed 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (6.0)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          15 (5.8)   \n",
       "                    M                                          15 (6.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                    10 (13.3)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                         10 (11.8)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "diabetes            False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "hypertension        False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "learning_disability False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "\n",
       "                                             Indian 16 CTV3:2020  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                        35 (7.0)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                                  - (-)   \n",
       "                    30-39                                  - (-)   \n",
       "                    40-49                                  - (-)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                                  - (-)   \n",
       "                    70-79                                  - (-)   \n",
       "                    80+                                    - (-)   \n",
       "sex                 F                                   15 (5.8)   \n",
       "                    M                                   20 (8.3)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                                 - (-)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                        - (-)   \n",
       "                    2                                      - (-)   \n",
       "                    3                                  15 (12.5)   \n",
       "                    4                                      - (-)   \n",
       "                    5 Least deprived                       - (-)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            False                               35 (7.1)   \n",
       "                    True                                   - (-)   \n",
       "diabetes            False                               35 (7.1)   \n",
       "                    True                                   - (-)   \n",
       "hypertension        False                               35 (7.1)   \n",
       "                    True                                   - (-)   \n",
       "learning_disability False                               35 (7.1)   \n",
       "                    True                                   - (-)   \n",
       "\n",
       "                                             Indian 16 SNOMED:2022  \\\n",
       "group               subgroup                                         \n",
       "all                 with records                          25 (5.0)   \n",
       "age_band            0-19                                     - (-)   \n",
       "                    20-29                                    - (-)   \n",
       "                    30-39                                    - (-)   \n",
       "                    40-49                                    - (-)   \n",
       "                    50-59                                    - (-)   \n",
       "                    60-69                                    - (-)   \n",
       "                    70-79                                    - (-)   \n",
       "                    80+                                      - (-)   \n",
       "sex                 F                                     10 (3.8)   \n",
       "                    M                                     15 (6.2)   \n",
       "region              East Midlands                            - (-)   \n",
       "                    East of England                          - (-)   \n",
       "                    London                                   - (-)   \n",
       "                    North East                               - (-)   \n",
       "                    North West                               - (-)   \n",
       "                    South East                               - (-)   \n",
       "                    West Midlands                            - (-)   \n",
       "                    Yorkshire and the Humber                 - (-)   \n",
       "imd                 1 Most deprived                          - (-)   \n",
       "                    2                                        - (-)   \n",
       "                    3                                        - (-)   \n",
       "                    4                                        - (-)   \n",
       "                    5 Least deprived                         - (-)   \n",
       "                    Unknown                                  - (-)   \n",
       "dementia            False                                 25 (5.1)   \n",
       "                    True                                     - (-)   \n",
       "diabetes            False                                 25 (5.1)   \n",
       "                    True                                     - (-)   \n",
       "hypertension        False                                 25 (5.1)   \n",
       "                    True                                     - (-)   \n",
       "learning_disability False                                 25 (5.1)   \n",
       "                    True                                     - (-)   \n",
       "\n",
       "                                             Indian 16 PRIMIS:2021  \\\n",
       "group               subgroup                                         \n",
       "all                 with records                          30 (6.0)   \n",
       "age_band            0-19                                     - (-)   \n",
       "                    20-29                                    - (-)   \n",
       "                    30-39                                    - (-)   \n",
       "                    40-49                                    - (-)   \n",
       "                    50-59                                    - (-)   \n",
       "                    60-69                                10 (14.3)   \n",
       "                    70-79                                    - (-)   \n",
       "                    80+                                      - (-)   \n",
       "sex                 F                                     20 (7.7)   \n",
       "                    M                                     10 (4.2)   \n",
       "region              East Midlands                            - (-)   \n",
       "                    East of England                          - (-)   \n",
       "                    London                                   - (-)   \n",
       "                    North East                               - (-)   \n",
       "                    North West                               - (-)   \n",
       "                    South East                               - (-)   \n",
       "                    West Midlands                            - (-)   \n",
       "                    Yorkshire and the Humber                 - (-)   \n",
       "imd                 1 Most deprived                          - (-)   \n",
       "                    2                                        - (-)   \n",
       "                    3                                        - (-)   \n",
       "                    4                                        - (-)   \n",
       "                    5 Least deprived                         - (-)   \n",
       "                    Unknown                                  - (-)   \n",
       "dementia            False                                 30 (6.1)   \n",
       "                    True                                     - (-)   \n",
       "diabetes            False                                 30 (6.1)   \n",
       "                    True                                     - (-)   \n",
       "hypertension        False                                 30 (6.1)   \n",
       "                    True                                     - (-)   \n",
       "learning_disability False                                 30 (6.1)   \n",
       "                    True                                     - (-)   \n",
       "\n",
       "                                             Pakistani 16 CTV3:2020  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           35 (7.0)   \n",
       "age_band            0-19                                      - (-)   \n",
       "                    20-29                                     - (-)   \n",
       "                    30-39                                     - (-)   \n",
       "                    40-49                                     - (-)   \n",
       "                    50-59                                     - (-)   \n",
       "                    60-69                                     - (-)   \n",
       "                    70-79                                     - (-)   \n",
       "                    80+                                       - (-)   \n",
       "sex                 F                                      20 (7.7)   \n",
       "                    M                                      15 (6.2)   \n",
       "region              East Midlands                             - (-)   \n",
       "                    East of England                           - (-)   \n",
       "                    London                                    - (-)   \n",
       "                    North East                                - (-)   \n",
       "                    North West                                - (-)   \n",
       "                    South East                                - (-)   \n",
       "                    West Midlands                             - (-)   \n",
       "                    Yorkshire and the Humber                  - (-)   \n",
       "imd                 1 Most deprived                           - (-)   \n",
       "                    2                                         - (-)   \n",
       "                    3                                      10 (8.3)   \n",
       "                    4                                     10 (10.0)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "diabetes            False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "hypertension        False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "learning_disability False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "\n",
       "                                             Pakistani 16 SNOMED:2022  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             40 (8.0)   \n",
       "age_band            0-19                                        - (-)   \n",
       "                    20-29                                       - (-)   \n",
       "                    30-39                                       - (-)   \n",
       "                    40-49                                       - (-)   \n",
       "                    50-59                                       - (-)   \n",
       "                    60-69                                       - (-)   \n",
       "                    70-79                                       - (-)   \n",
       "                    80+                                     10 (14.3)   \n",
       "sex                 F                                        15 (5.8)   \n",
       "                    M                                       25 (10.4)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                       10 (11.8)   \n",
       "                    3                                        10 (8.3)   \n",
       "                    4                                       10 (10.0)   \n",
       "                    5 Least deprived                        10 (10.5)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            False                                    40 (8.2)   \n",
       "                    True                                        - (-)   \n",
       "diabetes            False                                    40 (8.1)   \n",
       "                    True                                        - (-)   \n",
       "hypertension        False                                    40 (8.1)   \n",
       "                    True                                        - (-)   \n",
       "learning_disability False                                    40 (8.1)   \n",
       "                    True                                        - (-)   \n",
       "\n",
       "                                             Pakistani 16 PRIMIS:2021  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             35 (7.0)   \n",
       "age_band            0-19                                        - (-)   \n",
       "                    20-29                                   10 (14.3)   \n",
       "                    30-39                                       - (-)   \n",
       "                    40-49                                       - (-)   \n",
       "                    50-59                                       - (-)   \n",
       "                    60-69                                       - (-)   \n",
       "                    70-79                                       - (-)   \n",
       "                    80+                                         - (-)   \n",
       "sex                 F                                        15 (5.8)   \n",
       "                    M                                        20 (8.3)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                  10 (13.3)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                           - (-)   \n",
       "                    3                                       15 (12.5)   \n",
       "                    4                                       10 (10.0)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "diabetes            False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "hypertension        False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "learning_disability False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "\n",
       "                                             Bangladeshi 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             25 (5.0)   \n",
       "age_band            0-19                                        - (-)   \n",
       "                    20-29                                       - (-)   \n",
       "                    30-39                                       - (-)   \n",
       "                    40-49                                       - (-)   \n",
       "                    50-59                                       - (-)   \n",
       "                    60-69                                       - (-)   \n",
       "                    70-79                                       - (-)   \n",
       "                    80+                                         - (-)   \n",
       "sex                 F                                        10 (3.8)   \n",
       "                    M                                        15 (6.2)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                           - (-)   \n",
       "                    3                                           - (-)   \n",
       "                    4                                       10 (10.0)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            False                                    25 (5.1)   \n",
       "                    True                                        - (-)   \n",
       "diabetes            False                                    25 (5.1)   \n",
       "                    True                                        - (-)   \n",
       "hypertension        False                                    25 (5.1)   \n",
       "                    True                                        - (-)   \n",
       "learning_disability False                                    25 (5.1)   \n",
       "                    True                                        - (-)   \n",
       "\n",
       "                                             Bangladeshi 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               25 (5.0)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          10 (3.8)   \n",
       "                    M                                          15 (6.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "diabetes            False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "hypertension        False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "learning_disability False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "\n",
       "                                             Bangladeshi 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               35 (7.0)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          10 (3.8)   \n",
       "                    M                                          20 (8.3)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                           10 (11.1)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                          10 (10.5)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            False                                      35 (7.1)   \n",
       "                    True                                          - (-)   \n",
       "diabetes            False                                      35 (7.1)   \n",
       "                    True                                          - (-)   \n",
       "hypertension        False                                      35 (7.1)   \n",
       "                    True                                          - (-)   \n",
       "learning_disability False                                      35 (7.1)   \n",
       "                    True                                          - (-)   \n",
       "\n",
       "                                             Other Asian 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             30 (6.0)   \n",
       "age_band            0-19                                        - (-)   \n",
       "                    20-29                                       - (-)   \n",
       "                    30-39                                       - (-)   \n",
       "                    40-49                                       - (-)   \n",
       "                    50-59                                       - (-)   \n",
       "                    60-69                                       - (-)   \n",
       "                    70-79                                       - (-)   \n",
       "                    80+                                         - (-)   \n",
       "sex                 F                                        15 (5.8)   \n",
       "                    M                                        15 (6.2)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                           - (-)   \n",
       "                    3                                           - (-)   \n",
       "                    4                                       10 (10.0)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            False                                    30 (6.1)   \n",
       "                    True                                        - (-)   \n",
       "diabetes            False                                    30 (6.1)   \n",
       "                    True                                        - (-)   \n",
       "hypertension        False                                    25 (5.1)   \n",
       "                    True                                        - (-)   \n",
       "learning_disability False                                    30 (6.1)   \n",
       "                    True                                        - (-)   \n",
       "\n",
       "                                             Other Asian 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (6.0)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          15 (5.8)   \n",
       "                    M                                          10 (4.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                          10 (10.5)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "diabetes            False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "hypertension        False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "learning_disability False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "\n",
       "                                             Other Asian 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (6.0)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          20 (7.7)   \n",
       "                    M                                          10 (4.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                           10 (11.1)   \n",
       "                    2                                         10 (11.8)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                          10 (10.5)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "diabetes            False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "hypertension        False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "learning_disability False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "\n",
       "                                             Caribbean 16 CTV3:2020  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           30 (6.0)   \n",
       "age_band            0-19                                      - (-)   \n",
       "                    20-29                                     - (-)   \n",
       "                    30-39                                     - (-)   \n",
       "                    40-49                                     - (-)   \n",
       "                    50-59                                     - (-)   \n",
       "                    60-69                                     - (-)   \n",
       "                    70-79                                     - (-)   \n",
       "                    80+                                       - (-)   \n",
       "sex                 F                                      15 (5.8)   \n",
       "                    M                                      15 (6.2)   \n",
       "region              East Midlands                             - (-)   \n",
       "                    East of England                           - (-)   \n",
       "                    London                                    - (-)   \n",
       "                    North East                                - (-)   \n",
       "                    North West                                - (-)   \n",
       "                    South East                                - (-)   \n",
       "                    West Midlands                             - (-)   \n",
       "                    Yorkshire and the Humber                  - (-)   \n",
       "imd                 1 Most deprived                       10 (11.1)   \n",
       "                    2                                         - (-)   \n",
       "                    3                                         - (-)   \n",
       "                    4                                     10 (10.0)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            False                                  30 (6.1)   \n",
       "                    True                                      - (-)   \n",
       "diabetes            False                                  30 (6.1)   \n",
       "                    True                                      - (-)   \n",
       "hypertension        False                                  30 (6.1)   \n",
       "                    True                                      - (-)   \n",
       "learning_disability False                                  30 (6.1)   \n",
       "                    True                                      - (-)   \n",
       "\n",
       "                                             Caribbean 16 SNOMED:2022  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             35 (7.0)   \n",
       "age_band            0-19                                        - (-)   \n",
       "                    20-29                                       - (-)   \n",
       "                    30-39                                       - (-)   \n",
       "                    40-49                                       - (-)   \n",
       "                    50-59                                       - (-)   \n",
       "                    60-69                                       - (-)   \n",
       "                    70-79                                       - (-)   \n",
       "                    80+                                         - (-)   \n",
       "sex                 F                                        20 (7.7)   \n",
       "                    M                                        15 (6.2)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                           - (-)   \n",
       "                    3                                        10 (8.3)   \n",
       "                    4                                       10 (10.0)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "diabetes            False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "hypertension        False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "learning_disability False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "\n",
       "                                             Caribbean 16 PRIMIS:2021  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             35 (7.0)   \n",
       "age_band            0-19                                        - (-)   \n",
       "                    20-29                                       - (-)   \n",
       "                    30-39                                       - (-)   \n",
       "                    40-49                                       - (-)   \n",
       "                    50-59                                       - (-)   \n",
       "                    60-69                                       - (-)   \n",
       "                    70-79                                       - (-)   \n",
       "                    80+                                         - (-)   \n",
       "sex                 F                                        15 (5.8)   \n",
       "                    M                                        15 (6.2)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                           - (-)   \n",
       "                    3                                        10 (8.3)   \n",
       "                    4                                       10 (10.0)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            False                                    30 (6.1)   \n",
       "                    True                                        - (-)   \n",
       "diabetes            False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "hypertension        False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "learning_disability False                                    35 (7.1)   \n",
       "                    True                                        - (-)   \n",
       "\n",
       "                                             African 16 CTV3:2020  \\\n",
       "group               subgroup                                        \n",
       "all                 with records                         35 (7.0)   \n",
       "age_band            0-19                                    - (-)   \n",
       "                    20-29                                   - (-)   \n",
       "                    30-39                                   - (-)   \n",
       "                    40-49                                   - (-)   \n",
       "                    50-59                                   - (-)   \n",
       "                    60-69                                   - (-)   \n",
       "                    70-79                                   - (-)   \n",
       "                    80+                                     - (-)   \n",
       "sex                 F                                    20 (7.7)   \n",
       "                    M                                    20 (8.3)   \n",
       "region              East Midlands                           - (-)   \n",
       "                    East of England                         - (-)   \n",
       "                    London                                  - (-)   \n",
       "                    North East                              - (-)   \n",
       "                    North West                              - (-)   \n",
       "                    South East                              - (-)   \n",
       "                    West Midlands                           - (-)   \n",
       "                    Yorkshire and the Humber                - (-)   \n",
       "imd                 1 Most deprived                     10 (11.1)   \n",
       "                    2                                       - (-)   \n",
       "                    3                                       - (-)   \n",
       "                    4                                   10 (10.0)   \n",
       "                    5 Least deprived                    10 (10.5)   \n",
       "                    Unknown                                 - (-)   \n",
       "dementia            False                                35 (7.1)   \n",
       "                    True                                    - (-)   \n",
       "diabetes            False                                35 (7.1)   \n",
       "                    True                                    - (-)   \n",
       "hypertension        False                                35 (7.1)   \n",
       "                    True                                    - (-)   \n",
       "learning_disability False                                35 (7.1)   \n",
       "                    True                                    - (-)   \n",
       "\n",
       "                                             African 16 SNOMED:2022  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           35 (7.0)   \n",
       "age_band            0-19                                      - (-)   \n",
       "                    20-29                                     - (-)   \n",
       "                    30-39                                     - (-)   \n",
       "                    40-49                                     - (-)   \n",
       "                    50-59                                     - (-)   \n",
       "                    60-69                                     - (-)   \n",
       "                    70-79                                     - (-)   \n",
       "                    80+                                       - (-)   \n",
       "sex                 F                                      15 (5.8)   \n",
       "                    M                                      15 (6.2)   \n",
       "region              East Midlands                             - (-)   \n",
       "                    East of England                           - (-)   \n",
       "                    London                                    - (-)   \n",
       "                    North East                                - (-)   \n",
       "                    North West                                - (-)   \n",
       "                    South East                                - (-)   \n",
       "                    West Midlands                             - (-)   \n",
       "                    Yorkshire and the Humber                  - (-)   \n",
       "imd                 1 Most deprived                       10 (11.1)   \n",
       "                    2                                         - (-)   \n",
       "                    3                                      10 (8.3)   \n",
       "                    4                                     10 (10.0)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "diabetes            False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "hypertension        False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "learning_disability False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "\n",
       "                                             African 16 PRIMIS:2021  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           40 (8.0)   \n",
       "age_band            0-19                                      - (-)   \n",
       "                    20-29                                     - (-)   \n",
       "                    30-39                                 10 (16.7)   \n",
       "                    40-49                                     - (-)   \n",
       "                    50-59                                 10 (16.7)   \n",
       "                    60-69                                     - (-)   \n",
       "                    70-79                                     - (-)   \n",
       "                    80+                                   10 (14.3)   \n",
       "sex                 F                                      15 (5.8)   \n",
       "                    M                                     25 (10.4)   \n",
       "region              East Midlands                             - (-)   \n",
       "                    East of England                           - (-)   \n",
       "                    London                                    - (-)   \n",
       "                    North East                                - (-)   \n",
       "                    North West                                - (-)   \n",
       "                    South East                                - (-)   \n",
       "                    West Midlands                             - (-)   \n",
       "                    Yorkshire and the Humber                  - (-)   \n",
       "imd                 1 Most deprived                       10 (11.1)   \n",
       "                    2                                     10 (11.8)   \n",
       "                    3                                         - (-)   \n",
       "                    4                                     10 (10.0)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            False                                  40 (8.2)   \n",
       "                    True                                      - (-)   \n",
       "diabetes            False                                  40 (8.1)   \n",
       "                    True                                      - (-)   \n",
       "hypertension        False                                  40 (8.1)   \n",
       "                    True                                      - (-)   \n",
       "learning_disability False                                  40 (8.1)   \n",
       "                    True                                      - (-)   \n",
       "\n",
       "                                             Other Black 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             30 (6.0)   \n",
       "age_band            0-19                                        - (-)   \n",
       "                    20-29                                       - (-)   \n",
       "                    30-39                                       - (-)   \n",
       "                    40-49                                       - (-)   \n",
       "                    50-59                                       - (-)   \n",
       "                    60-69                                       - (-)   \n",
       "                    70-79                                       - (-)   \n",
       "                    80+                                         - (-)   \n",
       "sex                 F                                        15 (5.8)   \n",
       "                    M                                        15 (6.2)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                       10 (11.8)   \n",
       "                    3                                        10 (8.3)   \n",
       "                    4                                           - (-)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            False                                    30 (6.1)   \n",
       "                    True                                        - (-)   \n",
       "diabetes            False                                    30 (6.1)   \n",
       "                    True                                        - (-)   \n",
       "hypertension        False                                    30 (6.1)   \n",
       "                    True                                        - (-)   \n",
       "learning_disability False                                    30 (6.1)   \n",
       "                    True                                        - (-)   \n",
       "\n",
       "                                             Other Black 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (6.0)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          15 (5.8)   \n",
       "                    M                                          15 (6.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "diabetes            False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "hypertension        False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "learning_disability False                                      30 (6.1)   \n",
       "                    True                                          - (-)   \n",
       "\n",
       "                                             Other Black 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               25 (5.0)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          15 (5.8)   \n",
       "                    M                                          10 (4.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "diabetes            False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "hypertension        False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "learning_disability False                                      25 (5.1)   \n",
       "                    True                                          - (-)   \n",
       "\n",
       "                                             Chinese 16 CTV3:2020  \\\n",
       "group               subgroup                                        \n",
       "all                 with records                         30 (6.0)   \n",
       "age_band            0-19                                    - (-)   \n",
       "                    20-29                                   - (-)   \n",
       "                    30-39                                   - (-)   \n",
       "                    40-49                                   - (-)   \n",
       "                    50-59                                   - (-)   \n",
       "                    60-69                                   - (-)   \n",
       "                    70-79                                   - (-)   \n",
       "                    80+                                     - (-)   \n",
       "sex                 F                                    15 (5.8)   \n",
       "                    M                                    15 (6.2)   \n",
       "region              East Midlands                           - (-)   \n",
       "                    East of England                         - (-)   \n",
       "                    London                                  - (-)   \n",
       "                    North East                              - (-)   \n",
       "                    North West                              - (-)   \n",
       "                    South East                              - (-)   \n",
       "                    West Midlands                           - (-)   \n",
       "                    Yorkshire and the Humber                - (-)   \n",
       "imd                 1 Most deprived                     10 (11.1)   \n",
       "                    2                                       - (-)   \n",
       "                    3                                       - (-)   \n",
       "                    4                                       - (-)   \n",
       "                    5 Least deprived                        - (-)   \n",
       "                    Unknown                                 - (-)   \n",
       "dementia            False                                30 (6.1)   \n",
       "                    True                                    - (-)   \n",
       "diabetes            False                                30 (6.1)   \n",
       "                    True                                    - (-)   \n",
       "hypertension        False                                30 (6.1)   \n",
       "                    True                                    - (-)   \n",
       "learning_disability False                                30 (6.1)   \n",
       "                    True                                    - (-)   \n",
       "\n",
       "                                             Chinese 16 SNOMED:2022  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           35 (7.0)   \n",
       "age_band            0-19                                      - (-)   \n",
       "                    20-29                                     - (-)   \n",
       "                    30-39                                     - (-)   \n",
       "                    40-49                                     - (-)   \n",
       "                    50-59                                     - (-)   \n",
       "                    60-69                                     - (-)   \n",
       "                    70-79                                     - (-)   \n",
       "                    80+                                   10 (14.3)   \n",
       "sex                 F                                      20 (7.7)   \n",
       "                    M                                      15 (6.2)   \n",
       "region              East Midlands                             - (-)   \n",
       "                    East of England                           - (-)   \n",
       "                    London                                    - (-)   \n",
       "                    North East                                - (-)   \n",
       "                    North West                                - (-)   \n",
       "                    South East                                - (-)   \n",
       "                    West Midlands                             - (-)   \n",
       "                    Yorkshire and the Humber                  - (-)   \n",
       "imd                 1 Most deprived                           - (-)   \n",
       "                    2                                         - (-)   \n",
       "                    3                                      10 (8.3)   \n",
       "                    4                                         - (-)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "diabetes            False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "hypertension        False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "learning_disability False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "\n",
       "                                             Chinese 16 PRIMIS:2021  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           35 (7.0)   \n",
       "age_band            0-19                                      - (-)   \n",
       "                    20-29                                     - (-)   \n",
       "                    30-39                                     - (-)   \n",
       "                    40-49                                     - (-)   \n",
       "                    50-59                                     - (-)   \n",
       "                    60-69                                     - (-)   \n",
       "                    70-79                                     - (-)   \n",
       "                    80+                                       - (-)   \n",
       "sex                 F                                      15 (5.8)   \n",
       "                    M                                      15 (6.2)   \n",
       "region              East Midlands                             - (-)   \n",
       "                    East of England                           - (-)   \n",
       "                    London                                    - (-)   \n",
       "                    North East                                - (-)   \n",
       "                    North West                                - (-)   \n",
       "                    South East                                - (-)   \n",
       "                    West Midlands                             - (-)   \n",
       "                    Yorkshire and the Humber                  - (-)   \n",
       "imd                 1 Most deprived                           - (-)   \n",
       "                    2                                     10 (11.8)   \n",
       "                    3                                      10 (8.3)   \n",
       "                    4                                         - (-)   \n",
       "                    5 Least deprived                      10 (10.5)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "diabetes            False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "hypertension        False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "learning_disability False                                  35 (7.1)   \n",
       "                    True                                      - (-)   \n",
       "\n",
       "                                             Any other ethnic group 16 CTV3:2020  \\\n",
       "group               subgroup                                                       \n",
       "all                 with records                                        30 (6.0)   \n",
       "age_band            0-19                                                   - (-)   \n",
       "                    20-29                                                  - (-)   \n",
       "                    30-39                                                  - (-)   \n",
       "                    40-49                                                  - (-)   \n",
       "                    50-59                                                  - (-)   \n",
       "                    60-69                                                  - (-)   \n",
       "                    70-79                                                  - (-)   \n",
       "                    80+                                                    - (-)   \n",
       "sex                 F                                                   15 (5.8)   \n",
       "                    M                                                   15 (6.2)   \n",
       "region              East Midlands                                          - (-)   \n",
       "                    East of England                                        - (-)   \n",
       "                    London                                                 - (-)   \n",
       "                    North East                                             - (-)   \n",
       "                    North West                                             - (-)   \n",
       "                    South East                                             - (-)   \n",
       "                    West Midlands                                          - (-)   \n",
       "                    Yorkshire and the Humber                               - (-)   \n",
       "imd                 1 Most deprived                                        - (-)   \n",
       "                    2                                                  10 (11.8)   \n",
       "                    3                                                      - (-)   \n",
       "                    4                                                      - (-)   \n",
       "                    5 Least deprived                                       - (-)   \n",
       "                    Unknown                                                - (-)   \n",
       "dementia            False                                               25 (5.1)   \n",
       "                    True                                                   - (-)   \n",
       "diabetes            False                                               30 (6.1)   \n",
       "                    True                                                   - (-)   \n",
       "hypertension        False                                               30 (6.1)   \n",
       "                    True                                                   - (-)   \n",
       "learning_disability False                                               25 (5.1)   \n",
       "                    True                                                   - (-)   \n",
       "\n",
       "                                             Any other ethnic group 16 SNOMED:2022  \\\n",
       "group               subgroup                                                         \n",
       "all                 with records                                          35 (7.0)   \n",
       "age_band            0-19                                                     - (-)   \n",
       "                    20-29                                                    - (-)   \n",
       "                    30-39                                                    - (-)   \n",
       "                    40-49                                                    - (-)   \n",
       "                    50-59                                                    - (-)   \n",
       "                    60-69                                                    - (-)   \n",
       "                    70-79                                                    - (-)   \n",
       "                    80+                                                      - (-)   \n",
       "sex                 F                                                     20 (7.7)   \n",
       "                    M                                                     15 (6.2)   \n",
       "region              East Midlands                                            - (-)   \n",
       "                    East of England                                          - (-)   \n",
       "                    London                                                   - (-)   \n",
       "                    North East                                               - (-)   \n",
       "                    North West                                               - (-)   \n",
       "                    South East                                               - (-)   \n",
       "                    West Midlands                                            - (-)   \n",
       "                    Yorkshire and the Humber                                 - (-)   \n",
       "imd                 1 Most deprived                                          - (-)   \n",
       "                    2                                                        - (-)   \n",
       "                    3                                                        - (-)   \n",
       "                    4                                                    10 (10.0)   \n",
       "                    5 Least deprived                                     10 (10.5)   \n",
       "                    Unknown                                                  - (-)   \n",
       "dementia            False                                                 30 (6.1)   \n",
       "                    True                                                     - (-)   \n",
       "diabetes            False                                                 30 (6.1)   \n",
       "                    True                                                     - (-)   \n",
       "hypertension        False                                                 35 (7.1)   \n",
       "                    True                                                     - (-)   \n",
       "learning_disability False                                                 35 (7.1)   \n",
       "                    True                                                     - (-)   \n",
       "\n",
       "                                             Any other ethnic group 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                         \n",
       "all                 with records                                          25 (5.0)   \n",
       "age_band            0-19                                                     - (-)   \n",
       "                    20-29                                                    - (-)   \n",
       "                    30-39                                                    - (-)   \n",
       "                    40-49                                                    - (-)   \n",
       "                    50-59                                                    - (-)   \n",
       "                    60-69                                                    - (-)   \n",
       "                    70-79                                                    - (-)   \n",
       "                    80+                                                      - (-)   \n",
       "sex                 F                                                     20 (7.7)   \n",
       "                    M                                                        - (-)   \n",
       "region              East Midlands                                            - (-)   \n",
       "                    East of England                                          - (-)   \n",
       "                    London                                                   - (-)   \n",
       "                    North East                                               - (-)   \n",
       "                    North West                                               - (-)   \n",
       "                    South East                                               - (-)   \n",
       "                    West Midlands                                            - (-)   \n",
       "                    Yorkshire and the Humber                                 - (-)   \n",
       "imd                 1 Most deprived                                          - (-)   \n",
       "                    2                                                        - (-)   \n",
       "                    3                                                        - (-)   \n",
       "                    4                                                        - (-)   \n",
       "                    5 Least deprived                                         - (-)   \n",
       "                    Unknown                                                  - (-)   \n",
       "dementia            False                                                 25 (5.1)   \n",
       "                    True                                                     - (-)   \n",
       "diabetes            False                                                 25 (5.1)   \n",
       "                    True                                                     - (-)   \n",
       "hypertension        False                                                 25 (5.1)   \n",
       "                    True                                                     - (-)   \n",
       "learning_disability False                                                 25 (5.1)   \n",
       "                    True                                                     - (-)   \n",
       "\n",
       "                                              all filled population  \n",
       "group               subgroup                                         \n",
       "all                 with records              285 (57.0)        500  \n",
       "age_band            0-19                       35 (58.3)         60  \n",
       "                    20-29                      35 (50.0)         70  \n",
       "                    30-39                      30 (50.0)         60  \n",
       "                    40-49                      30 (54.5)         55  \n",
       "                    50-59                      35 (58.3)         60  \n",
       "                    60-69                      45 (64.3)         70  \n",
       "                    70-79                      30 (50.0)         60  \n",
       "                    80+                        45 (64.3)         70  \n",
       "sex                 F                         150 (57.7)        260  \n",
       "                    M                         135 (56.2)        240  \n",
       "region              East Midlands              15 (60.0)         25  \n",
       "                    East of England            15 (42.9)         35  \n",
       "                    London                     40 (53.3)         75  \n",
       "                    North East                 15 (50.0)         30  \n",
       "                    North West                 15 (42.9)         35  \n",
       "                    South East                 25 (55.6)         45  \n",
       "                    West Midlands              20 (57.1)         35  \n",
       "                    Yorkshire and the Humber   30 (75.0)         40  \n",
       "imd                 1 Most deprived            45 (50.0)         90  \n",
       "                    2                          45 (52.9)         85  \n",
       "                    3                          75 (62.5)        120  \n",
       "                    4                          50 (50.0)        100  \n",
       "                    5 Least deprived           65 (68.4)         95  \n",
       "                    Unknown                        - (-)          -  \n",
       "dementia            False                     280 (57.1)        490  \n",
       "                    True                           - (-)          -  \n",
       "diabetes            False                     280 (56.6)        495  \n",
       "                    True                           - (-)          -  \n",
       "hypertension        False                     280 (56.6)        495  \n",
       "                    True                           - (-)          -  \n",
       "learning_disability False                     280 (56.6)        495  \n",
       "                    True                           - (-)          -  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "local_patient_counts(\n",
    "         definitions_16,  output_path_16,code_dict_16, categories=True,missing=False\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "In the `16 group` ethnicity the `Other` ethnic group is expanded to `Chinese` and `Any other ethnic group`. For `Chinese` the `2022-SNOMED` codelist is most well-populated  (35) and for `Any other ethnic group` the `2020-CTV3` codelist is most well populated (35) . \n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"\"\"\n",
    "In the `16 group` ethnicity the `Other` ethnic group is expanded to `Chinese` and `Any other ethnic group`. For `Chinese` the `2022-SNOMED` codelist is most well-populated  ({'{:,.0f}'.format(float('{:,.3g}'.format(df_append_cat_16[\"Chinese_ethnicity_new_16_filled\"][0])))}) and for `Any other ethnic group` the `2020-CTV3` codelist is most well populated ({'{:,.0f}'.format(float('{:,.3g}'.format(df_append_cat_16[\"Any_other_ethnic_group_ethnicity_new_16_filled\"][0])))}) . \n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Comparison of ‘Latest’ and ‘Most Frequent’ coded ethnicity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5 Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
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       "             matching (22.2%)  not matching (77.8%)\n",
       "5 CTV3:2020                                        \n",
       "White                      10                    30\n",
       "Mixed                     NaN                    20\n",
       "Asian                     NaN                    30\n",
       "Black                      10                    10\n",
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       "      <th>white</th>\n",
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       "      <th>White</th>\n",
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       "                 white      mixed      asian      black      other\n",
       "5 CTV3:2020                                                       \n",
       "White        10 (25.0)  nan (nan)  10 (25.0)  10 (25.0)  10 (25.0)\n",
       "Mixed        10 (50.0)  nan (nan)  10 (50.0)  nan (nan)  nan (nan)\n",
       "Asian        10 (33.3)  10 (33.3)  nan (nan)  10 (33.3)  nan (nan)\n",
       "Black        nan (nan)  nan (nan)  10 (50.0)  10 (50.0)  nan (nan)\n",
       "Other        nan (nan)  nan (nan)  15 (60.0)  nan (nan)  10 (40.0)"
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asian</th>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black</th>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               matching (16.7%)  not matching (83.3%)\n",
       "5 SNOMED:2022                                        \n",
       "White                        25                   105\n",
       "Mixed                       NaN                     0\n",
       "Asian                       NaN                    10\n",
       "Black                       NaN                    10\n",
       "Other                       NaN                     0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>white</th>\n",
       "      <th>mixed</th>\n",
       "      <th>asian</th>\n",
       "      <th>black</th>\n",
       "      <th>other</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 SNOMED:2022</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>White</th>\n",
       "      <td>25 (19.2)</td>\n",
       "      <td>25 (19.2)</td>\n",
       "      <td>25 (19.2)</td>\n",
       "      <td>30 (23.1)</td>\n",
       "      <td>25 (19.2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asian</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (100.0)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (100.0)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   white       mixed      asian      black      other\n",
       "5 SNOMED:2022                                                        \n",
       "White          25 (19.2)   25 (19.2)  25 (19.2)  30 (23.1)  25 (19.2)\n",
       "Mixed          nan (nan)   nan (nan)  nan (nan)  nan (nan)  nan (nan)\n",
       "Asian          nan (nan)  10 (100.0)  nan (nan)  nan (nan)  nan (nan)\n",
       "Black          nan (nan)  10 (100.0)  nan (nan)  nan (nan)  nan (nan)\n",
       "Other          nan (nan)   nan (nan)  nan (nan)  nan (nan)  nan (nan)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>matching (9.1%)</th>\n",
       "      <th>not matching (90.9%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 PRIMIS:2021</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>White</th>\n",
       "      <td>NaN</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asian</th>\n",
       "      <td>NaN</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black</th>\n",
       "      <td>10</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               matching (9.1%)  not matching (90.9%)\n",
       "5 PRIMIS:2021                                       \n",
       "White                      NaN                    15\n",
       "Mixed                      NaN                     0\n",
       "Asian                      NaN                    45\n",
       "Black                       10                    30\n",
       "Other                      NaN                    10"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>white</th>\n",
       "      <th>mixed</th>\n",
       "      <th>asian</th>\n",
       "      <th>black</th>\n",
       "      <th>other</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 PRIMIS:2021</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>White</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (100.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asian</th>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>15 (33.3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (100.0)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   white      mixed      asian       black       other\n",
       "5 PRIMIS:2021                                                         \n",
       "White          nan (nan)  nan (nan)  nan (nan)   nan (nan)  15 (100.0)\n",
       "Mixed          nan (nan)  nan (nan)  nan (nan)   nan (nan)   nan (nan)\n",
       "Asian          10 (22.2)  10 (22.2)  nan (nan)   10 (22.2)   15 (33.3)\n",
       "Black          nan (nan)  10 (25.0)  10 (25.0)   10 (25.0)   10 (25.0)\n",
       "Other          nan (nan)  nan (nan)  nan (nan)  10 (100.0)   nan (nan)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for definition in definitions_5:\n",
    "        df_sum = pd.read_csv(f'../output/{output_path_5}/simple_latest_common_{definition}{suffix}_registered.csv').set_index(definition)\n",
    "        # sort rows by category index\n",
    "        df_sum.columns = df_sum.columns.str.replace(definition + \"_\", \"\")\n",
    "        df_sum.columns = df_sum.columns.str.lower()\n",
    "        df_sum = df_sum.reindex(list(code_dict_5[definition].values()))\n",
    "        \n",
    "        df_counts = pd.DataFrame(\n",
    "            np.diagonal(df_sum),\n",
    "            index=df_sum.index,\n",
    "        #   columns=[f\"matching (n={np.diagonal(df_sum).sum()})\"],\n",
    "        )\n",
    "\n",
    "        df_sum2 = df_sum.copy(deep=True)\n",
    "        np.fill_diagonal(df_sum2.values, 0)\n",
    "        df_diag = pd.DataFrame(\n",
    "            df_sum2.sum(axis=1),\n",
    "        )\n",
    "        df_out = df_counts.merge(df_diag, right_index=True, left_index=True)\n",
    "        columns=round(df_out.sum()/df_out.sum(axis=1).sum()*100,1)\n",
    "        globals()[f'df_col_{definition}'] = columns\n",
    "        df_out.columns=[f\"matching ({columns[0]}%)\",f\"not matching ({columns[1]}%)\"]\n",
    "        df_out = df_out.reset_index()\n",
    "        df_out = df_out.rename(definition_dict, axis='columns')\n",
    "        df_out = df_out.set_index(definition_dict[definition])\n",
    "        display(df_out)\n",
    "        \n",
    "        if code_dict_5 != \"\":\n",
    "            lowerlist_5 = [x.lower() for x in (list(code_dict_5[definition].values()))]\n",
    "            df_sum = df_sum[lowerlist_5]\n",
    "        else:\n",
    "            df_sum = df_sum.reindex(sorted(df_sum.columns), axis=1)\n",
    "\n",
    "        # Combine count and percentage columns\n",
    "        df_sum[\"population\"]=df_sum.sum(axis = 1)\n",
    "        globals()[f'df_sum_pct_{definition}'] = df_sum\n",
    "        for item in lowerlist_5:\n",
    "            df_sum[item + \"_pct\"]= round(\n",
    "                    (df_sum[item].div(df_sum[\"population\"])) * 100, 1\n",
    "                )\n",
    "            df_sum[item] = (\n",
    "                    df_sum[item].apply(lambda x: \"{:,.0f}\".format(x))\n",
    "                    + \" (\"\n",
    "                    + df_sum[item + \"_pct\"].astype(str)\n",
    "                    + \")\"\n",
    "                )\n",
    "        df_sum = df_sum[lowerlist_5]\n",
    "        df_sum = df_sum.reset_index()\n",
    "        df_sum = df_sum.rename(definition_dict, axis='columns')\n",
    "        df_sum = df_sum.set_index(definition_dict[definition])\n",
    "        display(df_sum)\n",
    "    # df_expanded = pd.read_csv(f'../output/{output_path}/tables/latest_common_expanded_{definition}.csv').set_index(definition)\n",
    "    \n",
    "    # display(df_expanded)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>white</th>\n",
       "      <th>mixed</th>\n",
       "      <th>asian</th>\n",
       "      <th>black</th>\n",
       "      <th>other</th>\n",
       "      <th>population</th>\n",
       "      <th>white_pct</th>\n",
       "      <th>mixed_pct</th>\n",
       "      <th>asian_pct</th>\n",
       "      <th>black_pct</th>\n",
       "      <th>other_pct</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ethnicity_new_5</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>White</th>\n",
       "      <td>25 (19.2)</td>\n",
       "      <td>25 (19.2)</td>\n",
       "      <td>25 (19.2)</td>\n",
       "      <td>30 (23.1)</td>\n",
       "      <td>25 (19.2)</td>\n",
       "      <td>130</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>23</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asian</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (100.0)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (100.0)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     white       mixed      asian      black      other  \\\n",
       "ethnicity_new_5                                                           \n",
       "White            25 (19.2)   25 (19.2)  25 (19.2)  30 (23.1)  25 (19.2)   \n",
       "Mixed            nan (nan)   nan (nan)  nan (nan)  nan (nan)  nan (nan)   \n",
       "Asian            nan (nan)  10 (100.0)  nan (nan)  nan (nan)  nan (nan)   \n",
       "Black            nan (nan)  10 (100.0)  nan (nan)  nan (nan)  nan (nan)   \n",
       "Other            nan (nan)   nan (nan)  nan (nan)  nan (nan)  nan (nan)   \n",
       "\n",
       "                 population  white_pct  mixed_pct  asian_pct  black_pct  \\\n",
       "ethnicity_new_5                                                           \n",
       "White                   130         19         19         19         23   \n",
       "Mixed                     0        NaN        NaN        NaN        NaN   \n",
       "Asian                    10        NaN        100        NaN        NaN   \n",
       "Black                    10        NaN        100        NaN        NaN   \n",
       "Other                     0        NaN        NaN        NaN        NaN   \n",
       "\n",
       "                 other_pct  \n",
       "ethnicity_new_5             \n",
       "White                   19  \n",
       "Mixed                  NaN  \n",
       "Asian                  NaN  \n",
       "Black                  NaN  \n",
       "Other                  NaN  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sum_pct_ethnicity_new_5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "Overall 22% of the latest 6 group ethnicity matched the most frequent 6 group ethnicity for all codelists. 19% of those with the most recent ethnicity classified as ‘White’ also had the most frequent ethnicity ‘White’ for all three codelists. 'Mixed' was the least concordant for all three codelists with nan% (SNOMED:2022 and CTV:2020) and nan% (PRIMIS:2021) of those with the most recent ethnicity ‘Mixed’ also had the most frequent ethnicity ‘Mixed’. Of those with latest ethnicity ‘Black’ nan% also had the most frequent ethnicity ‘White’.\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"\"\"\n",
    "Overall {'{:,.0f}'.format(df_col_ethnicity_5[0])}% of the latest 6 group ethnicity matched the most frequent 6 group ethnicity for all codelists. {'{:,.0f}'.format(df_sum_pct_ethnicity_new_5[\"white_pct\"][0])}% of those with the most recent ethnicity classified as ‘White’ also had the most frequent ethnicity ‘White’ for all three codelists. 'Mixed' was the least concordant for all three codelists with {'{:,.0f}'.format(df_sum_pct_ethnicity_new_5[\"mixed_pct\"][1])}% (SNOMED:2022 and CTV:2020) and {'{:,.0f}'.format(df_sum_pct_ethnicity_primis_5[\"mixed_pct\"][1])}% (PRIMIS:2021) of those with the most recent ethnicity ‘Mixed’ also had the most frequent ethnicity ‘Mixed’. Of those with latest ethnicity ‘Black’ {'{:,.0f}'.format(df_sum_pct_ethnicity_new_5[\"white_pct\"][3])}% also had the most frequent ethnicity ‘White’.\n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 16 Group"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>matching (nan%)</th>\n",
       "      <th>not matching (nan%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16 CTV3:2020</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>White_British</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_Irish</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_White</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_Caribbean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_African</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Asian</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Mixed</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indian</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistani</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladeshi</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Asian</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>African</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Black</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Any_other_ethnic_group</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           matching (nan%)  not matching (nan%)\n",
       "16 CTV3:2020                                                   \n",
       "White_British                          NaN                    0\n",
       "White_Irish                            NaN                    0\n",
       "Other_White                            NaN                    0\n",
       "White_and_Black_Caribbean              NaN                    0\n",
       "White_and_Black_African                NaN                    0\n",
       "White_and_Asian                        NaN                    0\n",
       "Other_Mixed                            NaN                    0\n",
       "Indian                                 NaN                    0\n",
       "Pakistani                              NaN                    0\n",
       "Bangladeshi                            NaN                    0\n",
       "Other_Asian                            NaN                    0\n",
       "Caribbean                              NaN                    0\n",
       "African                                NaN                    0\n",
       "Other_Black                            NaN                    0\n",
       "Chinese                                NaN                    0\n",
       "Any_other_ethnic_group                 NaN                    0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>white british</th>\n",
       "      <th>white irish</th>\n",
       "      <th>other white</th>\n",
       "      <th>white and black caribbean</th>\n",
       "      <th>white and black african</th>\n",
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       "    <tr>\n",
       "      <th>16 CTV3:2020</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>White_British</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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       "      <th>White_Irish</th>\n",
       "      <td>nan (nan)</td>\n",
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       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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       "      <th>White_and_Black_Caribbean</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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       "    <tr>\n",
       "      <th>White_and_Asian</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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       "    <tr>\n",
       "      <th>Other_Mixed</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indian</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistani</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladeshi</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Asian</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>African</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Black</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Any_other_ethnic_group</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          white british white irish other white  \\\n",
       "16 CTV3:2020                                                      \n",
       "White_British                 nan (nan)   nan (nan)   nan (nan)   \n",
       "White_Irish                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_White                   nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Black_Caribbean     nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Black_African       nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Asian               nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Mixed                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Indian                        nan (nan)   nan (nan)   nan (nan)   \n",
       "Pakistani                     nan (nan)   nan (nan)   nan (nan)   \n",
       "Bangladeshi                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Asian                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Caribbean                     nan (nan)   nan (nan)   nan (nan)   \n",
       "African                       nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Black                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Chinese                       nan (nan)   nan (nan)   nan (nan)   \n",
       "Any_other_ethnic_group        nan (nan)   nan (nan)   nan (nan)   \n",
       "\n",
       "                          white and black caribbean white and black african  \\\n",
       "16 CTV3:2020                                                                  \n",
       "White_British                             nan (nan)               nan (nan)   \n",
       "White_Irish                               nan (nan)               nan (nan)   \n",
       "Other_White                               nan (nan)               nan (nan)   \n",
       "White_and_Black_Caribbean                 nan (nan)               nan (nan)   \n",
       "White_and_Black_African                   nan (nan)               nan (nan)   \n",
       "White_and_Asian                           nan (nan)               nan (nan)   \n",
       "Other_Mixed                               nan (nan)               nan (nan)   \n",
       "Indian                                    nan (nan)               nan (nan)   \n",
       "Pakistani                                 nan (nan)               nan (nan)   \n",
       "Bangladeshi                               nan (nan)               nan (nan)   \n",
       "Other_Asian                               nan (nan)               nan (nan)   \n",
       "Caribbean                                 nan (nan)               nan (nan)   \n",
       "African                                   nan (nan)               nan (nan)   \n",
       "Other_Black                               nan (nan)               nan (nan)   \n",
       "Chinese                                   nan (nan)               nan (nan)   \n",
       "Any_other_ethnic_group                    nan (nan)               nan (nan)   \n",
       "\n",
       "                          white and asian other mixed     indian  pakistani  \\\n",
       "16 CTV3:2020                                                                  \n",
       "White_British                   nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_Irish                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_White                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Black_Caribbean       nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Black_African         nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Asian                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Mixed                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Indian                          nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Pakistani                       nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Bangladeshi                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
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       "Other_Black                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Chinese                         nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Any_other_ethnic_group          nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "\n",
       "                          bangladeshi other asian  caribbean    african  \\\n",
       "16 CTV3:2020                                                              \n",
       "White_British               nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_Irish                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
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       "White_and_Asian             nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Mixed                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Indian                      nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Pakistani                   nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Bangladeshi                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Asian                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Caribbean                   nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "African                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Black                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Chinese                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Any_other_ethnic_group      nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "\n",
       "                          other black    chinese any other ethnic group  \n",
       "16 CTV3:2020                                                             \n",
       "White_British               nan (nan)  nan (nan)              nan (nan)  \n",
       "White_Irish                 nan (nan)  nan (nan)              nan (nan)  \n",
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       "Bangladeshi                 nan (nan)  nan (nan)              nan (nan)  \n",
       "Other_Asian                 nan (nan)  nan (nan)              nan (nan)  \n",
       "Caribbean                   nan (nan)  nan (nan)              nan (nan)  \n",
       "African                     nan (nan)  nan (nan)              nan (nan)  \n",
       "Other_Black                 nan (nan)  nan (nan)              nan (nan)  \n",
       "Chinese                     nan (nan)  nan (nan)              nan (nan)  \n",
       "Any_other_ethnic_group      nan (nan)  nan (nan)              nan (nan)  "
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       "                           matching (nan%)  not matching (nan%)\n",
       "16 SNOMED:2022                                                 \n",
       "White_British                          NaN                    0\n",
       "White_Irish                            NaN                    0\n",
       "Other_White                            NaN                    0\n",
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       "Other_Mixed                            NaN                    0\n",
       "Indian                                 NaN                    0\n",
       "Pakistani                              NaN                    0\n",
       "Bangladeshi                            NaN                    0\n",
       "Other_Asian                            NaN                    0\n",
       "Caribbean                              NaN                    0\n",
       "African                                NaN                    0\n",
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       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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       "      <td>nan (nan)</td>\n",
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       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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       "      <th>Other_Black</th>\n",
       "      <td>nan (nan)</td>\n",
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       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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       "    <tr>\n",
       "      <th>Chinese</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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       "      <th>Any_other_ethnic_group</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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      "text/plain": [
       "                          white british white irish other white  \\\n",
       "16 SNOMED:2022                                                    \n",
       "White_British                 nan (nan)   nan (nan)   nan (nan)   \n",
       "White_Irish                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_White                   nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Black_Caribbean     nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Black_African       nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Asian               nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Mixed                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Indian                        nan (nan)   nan (nan)   nan (nan)   \n",
       "Pakistani                     nan (nan)   nan (nan)   nan (nan)   \n",
       "Bangladeshi                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Asian                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Caribbean                     nan (nan)   nan (nan)   nan (nan)   \n",
       "African                       nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Black                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Chinese                       nan (nan)   nan (nan)   nan (nan)   \n",
       "Any_other_ethnic_group        nan (nan)   nan (nan)   nan (nan)   \n",
       "\n",
       "                          white and black caribbean white and black african  \\\n",
       "16 SNOMED:2022                                                                \n",
       "White_British                             nan (nan)               nan (nan)   \n",
       "White_Irish                               nan (nan)               nan (nan)   \n",
       "Other_White                               nan (nan)               nan (nan)   \n",
       "White_and_Black_Caribbean                 nan (nan)               nan (nan)   \n",
       "White_and_Black_African                   nan (nan)               nan (nan)   \n",
       "White_and_Asian                           nan (nan)               nan (nan)   \n",
       "Other_Mixed                               nan (nan)               nan (nan)   \n",
       "Indian                                    nan (nan)               nan (nan)   \n",
       "Pakistani                                 nan (nan)               nan (nan)   \n",
       "Bangladeshi                               nan (nan)               nan (nan)   \n",
       "Other_Asian                               nan (nan)               nan (nan)   \n",
       "Caribbean                                 nan (nan)               nan (nan)   \n",
       "African                                   nan (nan)               nan (nan)   \n",
       "Other_Black                               nan (nan)               nan (nan)   \n",
       "Chinese                                   nan (nan)               nan (nan)   \n",
       "Any_other_ethnic_group                    nan (nan)               nan (nan)   \n",
       "\n",
       "                          white and asian other mixed     indian  pakistani  \\\n",
       "16 SNOMED:2022                                                                \n",
       "White_British                   nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_Irish                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_White                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Black_Caribbean       nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Black_African         nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Asian                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Mixed                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Indian                          nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Pakistani                       nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Bangladeshi                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Asian                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Caribbean                       nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "African                         nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Black                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Chinese                         nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Any_other_ethnic_group          nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "\n",
       "                          bangladeshi other asian  caribbean    african  \\\n",
       "16 SNOMED:2022                                                            \n",
       "White_British               nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_Irish                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_White                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Black_Caribbean   nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Black_African     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Asian             nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Mixed                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Indian                      nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Pakistani                   nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Bangladeshi                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Asian                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Caribbean                   nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "African                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Black                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Chinese                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Any_other_ethnic_group      nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "\n",
       "                          other black    chinese any other ethnic group  \n",
       "16 SNOMED:2022                                                           \n",
       "White_British               nan (nan)  nan (nan)              nan (nan)  \n",
       "White_Irish                 nan (nan)  nan (nan)              nan (nan)  \n",
       "Other_White                 nan (nan)  nan (nan)              nan (nan)  \n",
       "White_and_Black_Caribbean   nan (nan)  nan (nan)              nan (nan)  \n",
       "White_and_Black_African     nan (nan)  nan (nan)              nan (nan)  \n",
       "White_and_Asian             nan (nan)  nan (nan)              nan (nan)  \n",
       "Other_Mixed                 nan (nan)  nan (nan)              nan (nan)  \n",
       "Indian                      nan (nan)  nan (nan)              nan (nan)  \n",
       "Pakistani                   nan (nan)  nan (nan)              nan (nan)  \n",
       "Bangladeshi                 nan (nan)  nan (nan)              nan (nan)  \n",
       "Other_Asian                 nan (nan)  nan (nan)              nan (nan)  \n",
       "Caribbean                   nan (nan)  nan (nan)              nan (nan)  \n",
       "African                     nan (nan)  nan (nan)              nan (nan)  \n",
       "Other_Black                 nan (nan)  nan (nan)              nan (nan)  \n",
       "Chinese                     nan (nan)  nan (nan)              nan (nan)  \n",
       "Any_other_ethnic_group      nan (nan)  nan (nan)              nan (nan)  "
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       "                           matching (nan%)  not matching (nan%)\n",
       "16 PRIMIS:2021                                                 \n",
       "White_British                          NaN                    0\n",
       "White_Irish                            NaN                    0\n",
       "Other_White                            NaN                    0\n",
       "White_and_Black_Caribbean              NaN                    0\n",
       "White_and_Black_African                NaN                    0\n",
       "White_and_Asian                        NaN                    0\n",
       "Other_Mixed                            NaN                    0\n",
       "Indian                                 NaN                    0\n",
       "Pakistani                              NaN                    0\n",
       "Bangladeshi                            NaN                    0\n",
       "Other_Asian                            NaN                    0\n",
       "Caribbean                              NaN                    0\n",
       "African                                NaN                    0\n",
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       "      <td>nan (nan)</td>\n",
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       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
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       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
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       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Asian</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>African</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Black</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Any_other_ethnic_group</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          white british white irish other white  \\\n",
       "16 PRIMIS:2021                                                    \n",
       "White_British                 nan (nan)   nan (nan)   nan (nan)   \n",
       "White_Irish                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_White                   nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Black_Caribbean     nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Black_African       nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Asian               nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Mixed                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Indian                        nan (nan)   nan (nan)   nan (nan)   \n",
       "Pakistani                     nan (nan)   nan (nan)   nan (nan)   \n",
       "Bangladeshi                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Asian                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Caribbean                     nan (nan)   nan (nan)   nan (nan)   \n",
       "African                       nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Black                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Chinese                       nan (nan)   nan (nan)   nan (nan)   \n",
       "Any_other_ethnic_group        nan (nan)   nan (nan)   nan (nan)   \n",
       "\n",
       "                          white and black caribbean white and black african  \\\n",
       "16 PRIMIS:2021                                                                \n",
       "White_British                             nan (nan)               nan (nan)   \n",
       "White_Irish                               nan (nan)               nan (nan)   \n",
       "Other_White                               nan (nan)               nan (nan)   \n",
       "White_and_Black_Caribbean                 nan (nan)               nan (nan)   \n",
       "White_and_Black_African                   nan (nan)               nan (nan)   \n",
       "White_and_Asian                           nan (nan)               nan (nan)   \n",
       "Other_Mixed                               nan (nan)               nan (nan)   \n",
       "Indian                                    nan (nan)               nan (nan)   \n",
       "Pakistani                                 nan (nan)               nan (nan)   \n",
       "Bangladeshi                               nan (nan)               nan (nan)   \n",
       "Other_Asian                               nan (nan)               nan (nan)   \n",
       "Caribbean                                 nan (nan)               nan (nan)   \n",
       "African                                   nan (nan)               nan (nan)   \n",
       "Other_Black                               nan (nan)               nan (nan)   \n",
       "Chinese                                   nan (nan)               nan (nan)   \n",
       "Any_other_ethnic_group                    nan (nan)               nan (nan)   \n",
       "\n",
       "                          white and asian other mixed     indian  pakistani  \\\n",
       "16 PRIMIS:2021                                                                \n",
       "White_British                   nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_Irish                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_White                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Black_Caribbean       nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Black_African         nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Asian                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Mixed                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Indian                          nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Pakistani                       nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Bangladeshi                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Asian                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Caribbean                       nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "African                         nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Black                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Chinese                         nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Any_other_ethnic_group          nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "\n",
       "                          bangladeshi other asian  caribbean    african  \\\n",
       "16 PRIMIS:2021                                                            \n",
       "White_British               nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_Irish                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_White                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Black_Caribbean   nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Black_African     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "White_and_Asian             nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Mixed                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Indian                      nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Pakistani                   nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Bangladeshi                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Asian                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Caribbean                   nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "African                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Other_Black                 nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Chinese                     nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "Any_other_ethnic_group      nan (nan)   nan (nan)  nan (nan)  nan (nan)   \n",
       "\n",
       "                          other black    chinese any other ethnic group  \n",
       "16 PRIMIS:2021                                                           \n",
       "White_British               nan (nan)  nan (nan)              nan (nan)  \n",
       "White_Irish                 nan (nan)  nan (nan)              nan (nan)  \n",
       "Other_White                 nan (nan)  nan (nan)              nan (nan)  \n",
       "White_and_Black_Caribbean   nan (nan)  nan (nan)              nan (nan)  \n",
       "White_and_Black_African     nan (nan)  nan (nan)              nan (nan)  \n",
       "White_and_Asian             nan (nan)  nan (nan)              nan (nan)  \n",
       "Other_Mixed                 nan (nan)  nan (nan)              nan (nan)  \n",
       "Indian                      nan (nan)  nan (nan)              nan (nan)  \n",
       "Pakistani                   nan (nan)  nan (nan)              nan (nan)  \n",
       "Bangladeshi                 nan (nan)  nan (nan)              nan (nan)  \n",
       "Other_Asian                 nan (nan)  nan (nan)              nan (nan)  \n",
       "Caribbean                   nan (nan)  nan (nan)              nan (nan)  \n",
       "African                     nan (nan)  nan (nan)              nan (nan)  \n",
       "Other_Black                 nan (nan)  nan (nan)              nan (nan)  \n",
       "Chinese                     nan (nan)  nan (nan)              nan (nan)  \n",
       "Any_other_ethnic_group      nan (nan)  nan (nan)              nan (nan)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for definition in definitions_16:\n",
    "        df_sum = pd.read_csv(f'../output/{output_path_16}/simple_latest_common_{definition}{suffix}_registered.csv').set_index(definition)    \n",
    "        # sort rows by category index\n",
    "        df_sum.columns = df_sum.columns.str.replace(definition + \"_\", \"\")\n",
    "        df_sum.columns = df_sum.columns.str.lower()\n",
    "        df_sum = df_sum.reindex(list(code_dict_16[definition].values()))\n",
    "        \n",
    "        df_counts = pd.DataFrame(\n",
    "            np.diagonal(df_sum),\n",
    "            index=df_sum.index,\n",
    "        #   columns=[f\"matching (n={np.diagonal(df_sum).sum()})\"],\n",
    "        )\n",
    "\n",
    "        df_sum2 = df_sum.copy(deep=True)\n",
    "        np.fill_diagonal(df_sum2.values, 0)\n",
    "        df_diag = pd.DataFrame(\n",
    "            df_sum2.sum(axis=1),\n",
    "        )\n",
    "        df_out = df_counts.merge(df_diag, right_index=True, left_index=True)\n",
    "        columns=round(df_out.sum()/df_out.sum(axis=1).sum()*100,1)\n",
    "        globals()[f'df_col_{definition}'] = columns\n",
    "        df_out.columns=[f\"matching ({columns[0]}%)\",f\"not matching ({columns[1]}%)\"]\n",
    "        df_out = df_out.reset_index()\n",
    "        df_out = df_out.rename(definition_dict, axis='columns')\n",
    "        df_out = df_out.set_index(definition_dict[definition])\n",
    "        display(df_out)\n",
    "        \n",
    "        if code_dict_16 != \"\":\n",
    "            lowerlist_16 = [x.lower() for x in (list(code_dict_16[definition].values()))]\n",
    "            df_sum = df_sum[lowerlist_16]\n",
    "        else:\n",
    "            df_sum = df_sum.reindex(sorted(df_sum.columns), axis=1)\n",
    "\n",
    "        # Combine count and percentage columns\n",
    "        df_sum[\"population\"]=df_sum.sum(axis = 1)\n",
    "        globals()[f'df_sum_pct_{definition}'] = df_sum\n",
    "        for item in lowerlist_16:\n",
    "            df_sum[item + \"_pct\"]= round(\n",
    "                    (df_sum[item].div(df_sum[\"population\"])) * 100, 1\n",
    "                )\n",
    "        \n",
    "            df_sum[item] = (\n",
    "                    df_sum[item].apply(lambda x: \"{:,.0f}\".format(x))\n",
    "                    + \" (\"\n",
    "                    + df_sum[item + \"_pct\"].astype(str)\n",
    "                    + \")\"\n",
    "                )\n",
    "        df_sum = df_sum[lowerlist_16]\n",
    "        df_sum = df_sum.reset_index()\n",
    "        df_sum = df_sum.rename(definition_dict, axis='columns')\n",
    "        df_sum = df_sum.set_index(definition_dict[definition])\n",
    "        df_sum.columns = df_sum.columns.str.replace(\"_\", \" \")\n",
    "        \n",
    "        \n",
    "        display(df_sum)\n",
    "    # df_expanded = pd.read_csv(f'../output/{output_path}/tables/latest_common_expanded_{definition}.csv').set_index(definition)\n",
    "    \n",
    "    # display(df_expanded)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "Expanding to the 16 group the percentage of latest ethnicity that match the most frequent ethnicity falls to nan% for both SNOMED:2022 and CTV3:2020 and nan% for PRIMIS:2021. 'White British' was the most concordant for both SNOMED:2022 and CTV3:2021 with nan% and nan%, respectively, of those with the most recent ethnicity classified as ‘White British’ also had the most frequent ethnicity ‘White British’. For both SNOMED:2022 and CTV3:2020 'Other Black' was the least concordant with nan% and nan% of those with the most recent ethnicity 'Other Black' also had the most frequent ethnicity 'Other Black'.\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"\"\"\n",
    "Expanding to the 16 group the percentage of latest ethnicity that match the most frequent ethnicity falls to {'{:,.0f}'.format(df_col_ethnicity_new_16[0])}% for both SNOMED:2022 and CTV3:2020 and {'{:,.0f}'.format(df_col_ethnicity_primis_16[0])}% for PRIMIS:2021. 'White British' was the most concordant for both SNOMED:2022 and CTV3:2021 with {'{:,.0f}'.format(df_sum_pct_ethnicity_new_16[\"white_british_pct\"][0])}% and {'{:,.0f}'.format(df_sum_pct_ethnicity_16[\"white_british_pct\"][0])}%, respectively, of those with the most recent ethnicity classified as ‘White British’ also had the most frequent ethnicity ‘White British’. For both SNOMED:2022 and CTV3:2020 'Other Black' was the least concordant with {'{:,.0f}'.format(df_sum_pct_ethnicity_new_16[\"other_black_pct\"][13])}% and {'{:,.0f}'.format(df_sum_pct_ethnicity_16[\"other_black_pct\"][13])}% of those with the most recent ethnicity 'Other Black' also had the most frequent ethnicity 'Other Black'.\n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Changes in coded ethnicity groups"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5 Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>white</th>\n",
       "      <th>mixed</th>\n",
       "      <th>asian</th>\n",
       "      <th>black</th>\n",
       "      <th>other</th>\n",
       "      <th>any</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 CTV3:2020</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>White: 100</th>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>70 (70.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed: 95</th>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>70 (73.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asian: 95</th>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>70 (73.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black: 90</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>60 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other: 100</th>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>70 (70.0)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 white      mixed      asian      black      other        any\n",
       "5 CTV3:2020                                                                  \n",
       "White: 100   10 (10.0)  nan (nan)  10 (10.0)  10 (10.0)  10 (10.0)  70 (70.0)\n",
       "Mixed: 95    10 (10.5)  nan (nan)  10 (10.5)  nan (nan)  nan (nan)  70 (73.7)\n",
       "Asian: 95    10 (10.5)  10 (10.5)  nan (nan)  10 (10.5)  nan (nan)  70 (73.7)\n",
       "Black: 90    nan (nan)  nan (nan)  10 (11.1)  10 (11.1)  nan (nan)  60 (66.7)\n",
       "Other: 100   10 (10.0)  10 (10.0)  15 (15.0)  10 (10.0)  10 (10.0)  70 (70.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>white</th>\n",
       "      <th>mixed</th>\n",
       "      <th>asian</th>\n",
       "      <th>black</th>\n",
       "      <th>other</th>\n",
       "      <th>any</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 SNOMED:2022</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>White: 300</th>\n",
       "      <td>35 (11.7)</td>\n",
       "      <td>30 (10.0)</td>\n",
       "      <td>30 (10.0)</td>\n",
       "      <td>35 (11.7)</td>\n",
       "      <td>30 (10.0)</td>\n",
       "      <td>210 (70.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed: 45</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>35 (77.8)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asian: 55</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>35 (63.6)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black: 50</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (50.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other: 45</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>35 (77.8)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   white      mixed      asian      black      other  \\\n",
       "5 SNOMED:2022                                                          \n",
       "White: 300     35 (11.7)  30 (10.0)  30 (10.0)  35 (11.7)  30 (10.0)   \n",
       "Mixed: 45      nan (nan)  nan (nan)  nan (nan)  nan (nan)  nan (nan)   \n",
       "Asian: 55      nan (nan)  10 (18.2)  10 (18.2)  nan (nan)  nan (nan)   \n",
       "Black: 50      nan (nan)  10 (20.0)  nan (nan)  nan (nan)  nan (nan)   \n",
       "Other: 45      nan (nan)  nan (nan)  nan (nan)  nan (nan)  nan (nan)   \n",
       "\n",
       "                      any  \n",
       "5 SNOMED:2022              \n",
       "White: 300     210 (70.0)  \n",
       "Mixed: 45       35 (77.8)  \n",
       "Asian: 55       35 (63.6)  \n",
       "Black: 50       25 (50.0)  \n",
       "Other: 45       35 (77.8)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>white</th>\n",
       "      <th>mixed</th>\n",
       "      <th>asian</th>\n",
       "      <th>black</th>\n",
       "      <th>other</th>\n",
       "      <th>any</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 PRIMIS:2021</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>White: 90</th>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>15 (16.7)</td>\n",
       "      <td>70 (77.8)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed: 80</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>60 (75.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asian: 110</th>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>15 (13.6)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>15 (13.6)</td>\n",
       "      <td>70 (63.6)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black: 110</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>15 (13.6)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>80 (72.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other: 95</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>65 (68.4)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   white      mixed      asian      black      other  \\\n",
       "5 PRIMIS:2021                                                          \n",
       "White: 90      10 (11.1)  nan (nan)  nan (nan)  10 (11.1)  15 (16.7)   \n",
       "Mixed: 80      nan (nan)  nan (nan)  nan (nan)  nan (nan)  nan (nan)   \n",
       "Asian: 110      10 (9.1)  15 (13.6)  nan (nan)   10 (9.1)  15 (13.6)   \n",
       "Black: 110     nan (nan)   10 (9.1)  15 (13.6)   10 (9.1)   10 (9.1)   \n",
       "Other: 95      nan (nan)  10 (10.5)  nan (nan)  10 (10.5)  10 (10.5)   \n",
       "\n",
       "                     any  \n",
       "5 PRIMIS:2021             \n",
       "White: 90      70 (77.8)  \n",
       "Mixed: 80      60 (75.0)  \n",
       "Asian: 110     70 (63.6)  \n",
       "Black: 110     80 (72.7)  \n",
       "Other: 95      65 (68.4)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for definition in definitions_5:\n",
    "        df_state_change = pd.read_csv(f'../output/{output_path_5}/simple_state_change_{definition}{suffix}_registered.csv').set_index(definition)\n",
    "        df_state_change.columns = df_state_change.columns.str.replace(definition + \"_\", \"\")\n",
    "        #resort rows\n",
    "        df_state_change = df_state_change.reindex(list(code_dict_5[definition].values()))\n",
    "        df_state_change = df_state_change.reset_index()\n",
    "        \n",
    "        df_state_change[definition]=df_state_change[definition]+\": \" +df_state_change[\"n\"].apply(lambda x: \"{:,.0f}\".format(x))\n",
    "        df_state_change = df_state_change.set_index(definition)\n",
    "        globals()[f'df_sc_pct_{definition}'] = df_state_change\n",
    "        for item in lowerlist_5 + list([\"any\"]):\n",
    "            df_state_change[item + \"_pct\"]= round(\n",
    "                    (df_state_change[item].div(df_state_change[\"n\"])) * 100, 1\n",
    "                )\n",
    "        \n",
    "            df_state_change[item] = (\n",
    "                    df_state_change[item].apply(lambda x: \"{:,.0f}\".format(x))\n",
    "                    + \" (\"\n",
    "                    + df_state_change[item + \"_pct\"].astype(str)\n",
    "                    + \")\"\n",
    "                )\n",
    "        df_state_change=df_state_change[lowerlist_5 + list([\"any\"])]\n",
    "        df_state_change = df_state_change.reset_index()\n",
    "        df_state_change = df_state_change.rename(definition_dict, axis='columns')\n",
    "        df_state_change = df_state_change.set_index(definition_dict[definition])\n",
    "        display(df_state_change)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "Patients whose latest recorded ethnicity were grouped as Mixed were most likely to have a discordant ethnicity recording (32%) with 24.5% of the 31,040 patients with the latest recording of Mixed ethnicity also having a recording of White ethnicity. Surprisingly 5.5% of those with the latest recorded ethnicity grouped as Black were also had a recorded ethnicity of White \n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"\"\"\n",
    "Patients whose latest recorded ethnicity were grouped as Mixed were most likely to have a discordant ethnicity recording (32%) with 24.5% of the 31,040 patients with the latest recording of Mixed ethnicity also having a recording of White ethnicity. Surprisingly 5.5% of those with the latest recorded ethnicity grouped as Black were also had a recorded ethnicity of White \n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 16 Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "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>white british</th>\n",
       "      <th>white irish</th>\n",
       "      <th>other white</th>\n",
       "      <th>white and black caribbean</th>\n",
       "      <th>white and black african</th>\n",
       "      <th>white and asian</th>\n",
       "      <th>other mixed</th>\n",
       "      <th>indian</th>\n",
       "      <th>pakistani</th>\n",
       "      <th>bangladeshi</th>\n",
       "      <th>other asian</th>\n",
       "      <th>caribbean</th>\n",
       "      <th>african</th>\n",
       "      <th>other black</th>\n",
       "      <th>chinese</th>\n",
       "      <th>any other ethnic group</th>\n",
       "      <th>any</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16 CTV3:2020</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>White_British: 25</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (80.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_Irish: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>30 (85.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_White: 25</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_Caribbean: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (83.3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_African: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Asian: 25</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Mixed: 40</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (62.5)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indian: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistani: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladeshi: 25</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Asian: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (50.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>African: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Black: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (83.3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Any_other_ethnic_group: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (66.7)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              white british white irish other white  \\\n",
       "16 CTV3:2020                                                          \n",
       "White_British: 25                 nan (nan)   nan (nan)   nan (nan)   \n",
       "White_Irish: 35                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_White: 25                   nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Black_Caribbean: 30     nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Black_African: 30       nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Asian: 25               nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Mixed: 40                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Indian: 35                        nan (nan)   nan (nan)   nan (nan)   \n",
       "Pakistani: 35                     nan (nan)   nan (nan)   10 (28.6)   \n",
       "Bangladeshi: 25                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Asian: 30                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Caribbean: 30                     nan (nan)   nan (nan)   nan (nan)   \n",
       "African: 35                       nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Black: 30                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Chinese: 30                       nan (nan)   nan (nan)   nan (nan)   \n",
       "Any_other_ethnic_group: 30        nan (nan)   nan (nan)   nan (nan)   \n",
       "\n",
       "                              white and black caribbean  \\\n",
       "16 CTV3:2020                                              \n",
       "White_British: 25                             nan (nan)   \n",
       "White_Irish: 35                               nan (nan)   \n",
       "Other_White: 25                               nan (nan)   \n",
       "White_and_Black_Caribbean: 30                 nan (nan)   \n",
       "White_and_Black_African: 30                   nan (nan)   \n",
       "White_and_Asian: 25                           nan (nan)   \n",
       "Other_Mixed: 40                               10 (25.0)   \n",
       "Indian: 35                                    nan (nan)   \n",
       "Pakistani: 35                                 nan (nan)   \n",
       "Bangladeshi: 25                               nan (nan)   \n",
       "Other_Asian: 30                               nan (nan)   \n",
       "Caribbean: 30                                 nan (nan)   \n",
       "African: 35                                   nan (nan)   \n",
       "Other_Black: 30                               nan (nan)   \n",
       "Chinese: 30                                   nan (nan)   \n",
       "Any_other_ethnic_group: 30                    nan (nan)   \n",
       "\n",
       "                              white and black african white and asian  \\\n",
       "16 CTV3:2020                                                            \n",
       "White_British: 25                           nan (nan)       nan (nan)   \n",
       "White_Irish: 35                             nan (nan)       nan (nan)   \n",
       "Other_White: 25                             nan (nan)       nan (nan)   \n",
       "White_and_Black_Caribbean: 30               nan (nan)       nan (nan)   \n",
       "White_and_Black_African: 30                 nan (nan)       nan (nan)   \n",
       "White_and_Asian: 25                         nan (nan)       nan (nan)   \n",
       "Other_Mixed: 40                             nan (nan)       nan (nan)   \n",
       "Indian: 35                                  nan (nan)       nan (nan)   \n",
       "Pakistani: 35                               nan (nan)       nan (nan)   \n",
       "Bangladeshi: 25                             nan (nan)       nan (nan)   \n",
       "Other_Asian: 30                             nan (nan)       nan (nan)   \n",
       "Caribbean: 30                               nan (nan)       nan (nan)   \n",
       "African: 35                                 nan (nan)       10 (28.6)   \n",
       "Other_Black: 30                             nan (nan)       nan (nan)   \n",
       "Chinese: 30                                 nan (nan)       nan (nan)   \n",
       "Any_other_ethnic_group: 30                  nan (nan)       nan (nan)   \n",
       "\n",
       "                              other mixed     indian  pakistani bangladeshi  \\\n",
       "16 CTV3:2020                                                                  \n",
       "White_British: 25               nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_Irish: 35                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_White: 25                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Black_Caribbean: 30   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Black_African: 30     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Asian: 25             nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Mixed: 40                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Indian: 35                      nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Pakistani: 35                   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Bangladeshi: 25                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Asian: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Caribbean: 30                   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "African: 35                     10 (28.6)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Black: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Chinese: 30                     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Any_other_ethnic_group: 30      nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "\n",
       "                              other asian  caribbean    african other black  \\\n",
       "16 CTV3:2020                                                                  \n",
       "White_British: 25               nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_Irish: 35                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_White: 25                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Black_Caribbean: 30   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Black_African: 30     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Asian: 25             nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Mixed: 40                 nan (nan)  10 (25.0)  nan (nan)   nan (nan)   \n",
       "Indian: 35                      nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Pakistani: 35                   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Bangladeshi: 25                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Asian: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Caribbean: 30                   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "African: 35                     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Black: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Chinese: 30                     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Any_other_ethnic_group: 30      nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "\n",
       "                                 chinese any other ethnic group        any  \n",
       "16 CTV3:2020                                                                \n",
       "White_British: 25              nan (nan)              nan (nan)  20 (80.0)  \n",
       "White_Irish: 35                nan (nan)              nan (nan)  30 (85.7)  \n",
       "Other_White: 25                nan (nan)              nan (nan)  15 (60.0)  \n",
       "White_and_Black_Caribbean: 30  nan (nan)              nan (nan)  25 (83.3)  \n",
       "White_and_Black_African: 30    nan (nan)              nan (nan)  20 (66.7)  \n",
       "White_and_Asian: 25            nan (nan)              nan (nan)  15 (60.0)  \n",
       "Other_Mixed: 40                nan (nan)              nan (nan)  25 (62.5)  \n",
       "Indian: 35                     nan (nan)              nan (nan)  25 (71.4)  \n",
       "Pakistani: 35                  nan (nan)              nan (nan)  25 (71.4)  \n",
       "Bangladeshi: 25                nan (nan)              nan (nan)  15 (60.0)  \n",
       "Other_Asian: 30                nan (nan)              nan (nan)  15 (50.0)  \n",
       "Caribbean: 30                  nan (nan)              nan (nan)  20 (66.7)  \n",
       "African: 35                    nan (nan)              nan (nan)  25 (71.4)  \n",
       "Other_Black: 30                nan (nan)              nan (nan)  20 (66.7)  \n",
       "Chinese: 30                    nan (nan)              nan (nan)  25 (83.3)  \n",
       "Any_other_ethnic_group: 30     nan (nan)              nan (nan)  20 (66.7)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>white british</th>\n",
       "      <th>white irish</th>\n",
       "      <th>other white</th>\n",
       "      <th>white and black caribbean</th>\n",
       "      <th>white and black african</th>\n",
       "      <th>white and asian</th>\n",
       "      <th>other mixed</th>\n",
       "      <th>indian</th>\n",
       "      <th>pakistani</th>\n",
       "      <th>bangladeshi</th>\n",
       "      <th>other asian</th>\n",
       "      <th>caribbean</th>\n",
       "      <th>african</th>\n",
       "      <th>other black</th>\n",
       "      <th>chinese</th>\n",
       "      <th>any other ethnic group</th>\n",
       "      <th>any</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16 SNOMED:2022</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>White_British: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_Irish: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_White: 25</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (80.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_Caribbean: 25</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_African: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (57.1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Asian: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (50.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Mixed: 20</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (75.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indian: 25</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistani: 40</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (62.5)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladeshi: 25</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Asian: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (50.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>African: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (57.1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Black: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Any_other_ethnic_group: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (71.4)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              white british white irish other white  \\\n",
       "16 SNOMED:2022                                                        \n",
       "White_British: 30                 nan (nan)   nan (nan)   nan (nan)   \n",
       "White_Irish: 35                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_White: 25                   nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Black_Caribbean: 25     nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Black_African: 35       nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Asian: 30               nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Mixed: 20                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Indian: 25                        nan (nan)   nan (nan)   nan (nan)   \n",
       "Pakistani: 40                     nan (nan)   nan (nan)   nan (nan)   \n",
       "Bangladeshi: 25                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Asian: 30                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Caribbean: 35                     nan (nan)   nan (nan)   nan (nan)   \n",
       "African: 35                       nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Black: 30                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Chinese: 35                       nan (nan)   nan (nan)   nan (nan)   \n",
       "Any_other_ethnic_group: 35        nan (nan)   nan (nan)   nan (nan)   \n",
       "\n",
       "                              white and black caribbean  \\\n",
       "16 SNOMED:2022                                            \n",
       "White_British: 30                             nan (nan)   \n",
       "White_Irish: 35                               nan (nan)   \n",
       "Other_White: 25                               nan (nan)   \n",
       "White_and_Black_Caribbean: 25                 nan (nan)   \n",
       "White_and_Black_African: 35                   nan (nan)   \n",
       "White_and_Asian: 30                           nan (nan)   \n",
       "Other_Mixed: 20                               nan (nan)   \n",
       "Indian: 25                                    nan (nan)   \n",
       "Pakistani: 40                                 nan (nan)   \n",
       "Bangladeshi: 25                               nan (nan)   \n",
       "Other_Asian: 30                               nan (nan)   \n",
       "Caribbean: 35                                 nan (nan)   \n",
       "African: 35                                   nan (nan)   \n",
       "Other_Black: 30                               nan (nan)   \n",
       "Chinese: 35                                   nan (nan)   \n",
       "Any_other_ethnic_group: 35                    nan (nan)   \n",
       "\n",
       "                              white and black african white and asian  \\\n",
       "16 SNOMED:2022                                                          \n",
       "White_British: 30                           nan (nan)       nan (nan)   \n",
       "White_Irish: 35                             nan (nan)       nan (nan)   \n",
       "Other_White: 25                             nan (nan)       nan (nan)   \n",
       "White_and_Black_Caribbean: 25               nan (nan)       nan (nan)   \n",
       "White_and_Black_African: 35                 nan (nan)       nan (nan)   \n",
       "White_and_Asian: 30                         nan (nan)       nan (nan)   \n",
       "Other_Mixed: 20                             nan (nan)       nan (nan)   \n",
       "Indian: 25                                  nan (nan)       nan (nan)   \n",
       "Pakistani: 40                               nan (nan)       nan (nan)   \n",
       "Bangladeshi: 25                             nan (nan)       nan (nan)   \n",
       "Other_Asian: 30                             nan (nan)       nan (nan)   \n",
       "Caribbean: 35                               nan (nan)       nan (nan)   \n",
       "African: 35                                 nan (nan)       nan (nan)   \n",
       "Other_Black: 30                             nan (nan)       nan (nan)   \n",
       "Chinese: 35                                 nan (nan)       nan (nan)   \n",
       "Any_other_ethnic_group: 35                  nan (nan)       nan (nan)   \n",
       "\n",
       "                              other mixed     indian  pakistani bangladeshi  \\\n",
       "16 SNOMED:2022                                                                \n",
       "White_British: 30               nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_Irish: 35                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_White: 25                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Black_Caribbean: 25   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Black_African: 35     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Asian: 30             nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Mixed: 20                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Indian: 25                      nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Pakistani: 40                   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Bangladeshi: 25                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Asian: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Caribbean: 35                   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "African: 35                     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Black: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Chinese: 35                     10 (28.6)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Any_other_ethnic_group: 35      nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "\n",
       "                              other asian  caribbean    african other black  \\\n",
       "16 SNOMED:2022                                                                \n",
       "White_British: 30               nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_Irish: 35                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_White: 25                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Black_Caribbean: 25   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Black_African: 35     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Asian: 30             nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Mixed: 20                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Indian: 25                      nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Pakistani: 40                   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Bangladeshi: 25                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Asian: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Caribbean: 35                   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "African: 35                     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Black: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Chinese: 35                     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Any_other_ethnic_group: 35      nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "\n",
       "                                 chinese any other ethnic group        any  \n",
       "16 SNOMED:2022                                                              \n",
       "White_British: 30              nan (nan)              nan (nan)  20 (66.7)  \n",
       "White_Irish: 35                nan (nan)              nan (nan)  25 (71.4)  \n",
       "Other_White: 25                nan (nan)              nan (nan)  20 (80.0)  \n",
       "White_and_Black_Caribbean: 25  nan (nan)              nan (nan)  15 (60.0)  \n",
       "White_and_Black_African: 35    nan (nan)              nan (nan)  20 (57.1)  \n",
       "White_and_Asian: 30            nan (nan)              nan (nan)  15 (50.0)  \n",
       "Other_Mixed: 20                nan (nan)              nan (nan)  15 (75.0)  \n",
       "Indian: 25                     nan (nan)              nan (nan)  15 (60.0)  \n",
       "Pakistani: 40                  nan (nan)              nan (nan)  25 (62.5)  \n",
       "Bangladeshi: 25                nan (nan)              nan (nan)  15 (60.0)  \n",
       "Other_Asian: 30                nan (nan)              nan (nan)  15 (50.0)  \n",
       "Caribbean: 35                  nan (nan)              nan (nan)  25 (71.4)  \n",
       "African: 35                    nan (nan)              nan (nan)  20 (57.1)  \n",
       "Other_Black: 30                nan (nan)              nan (nan)  20 (66.7)  \n",
       "Chinese: 35                    nan (nan)              nan (nan)  25 (71.4)  \n",
       "Any_other_ethnic_group: 35     nan (nan)              nan (nan)  25 (71.4)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>white british</th>\n",
       "      <th>white irish</th>\n",
       "      <th>other white</th>\n",
       "      <th>white and black caribbean</th>\n",
       "      <th>white and black african</th>\n",
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       "    <tr>\n",
       "      <th>16 PRIMIS:2021</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>White_British: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_Irish: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (83.3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_White: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_Caribbean: 25</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (80.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_African: 30</th>\n",
       "      <td>10 (33.3)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Asian: 25</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Mixed: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (50.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indian: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistani: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (57.1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladeshi: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Asian: 30</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (57.1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>African: 40</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>25 (62.5)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Black: 25</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese: 35</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>20 (57.1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Any_other_ethnic_group: 25</th>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>nan (nan)</td>\n",
       "      <td>15 (60.0)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              white british white irish other white  \\\n",
       "16 PRIMIS:2021                                                        \n",
       "White_British: 35                 nan (nan)   nan (nan)   nan (nan)   \n",
       "White_Irish: 30                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_White: 30                   nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Black_Caribbean: 25     nan (nan)   nan (nan)   nan (nan)   \n",
       "White_and_Black_African: 30       10 (33.3)   nan (nan)   nan (nan)   \n",
       "White_and_Asian: 25               nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Mixed: 30                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Indian: 30                        nan (nan)   nan (nan)   nan (nan)   \n",
       "Pakistani: 35                     nan (nan)   nan (nan)   nan (nan)   \n",
       "Bangladeshi: 35                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Asian: 30                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Caribbean: 35                     nan (nan)   nan (nan)   nan (nan)   \n",
       "African: 40                       nan (nan)   nan (nan)   nan (nan)   \n",
       "Other_Black: 25                   nan (nan)   nan (nan)   nan (nan)   \n",
       "Chinese: 35                       nan (nan)   nan (nan)   nan (nan)   \n",
       "Any_other_ethnic_group: 25        nan (nan)   nan (nan)   nan (nan)   \n",
       "\n",
       "                              white and black caribbean  \\\n",
       "16 PRIMIS:2021                                            \n",
       "White_British: 35                             nan (nan)   \n",
       "White_Irish: 30                               nan (nan)   \n",
       "Other_White: 30                               nan (nan)   \n",
       "White_and_Black_Caribbean: 25                 nan (nan)   \n",
       "White_and_Black_African: 30                   nan (nan)   \n",
       "White_and_Asian: 25                           nan (nan)   \n",
       "Other_Mixed: 30                               nan (nan)   \n",
       "Indian: 30                                    nan (nan)   \n",
       "Pakistani: 35                                 nan (nan)   \n",
       "Bangladeshi: 35                               nan (nan)   \n",
       "Other_Asian: 30                               nan (nan)   \n",
       "Caribbean: 35                                 nan (nan)   \n",
       "African: 40                                   nan (nan)   \n",
       "Other_Black: 25                               nan (nan)   \n",
       "Chinese: 35                                   nan (nan)   \n",
       "Any_other_ethnic_group: 25                    nan (nan)   \n",
       "\n",
       "                              white and black african white and asian  \\\n",
       "16 PRIMIS:2021                                                          \n",
       "White_British: 35                           nan (nan)       nan (nan)   \n",
       "White_Irish: 30                             nan (nan)       nan (nan)   \n",
       "Other_White: 30                             nan (nan)       nan (nan)   \n",
       "White_and_Black_Caribbean: 25               nan (nan)       nan (nan)   \n",
       "White_and_Black_African: 30                 nan (nan)       nan (nan)   \n",
       "White_and_Asian: 25                         nan (nan)       nan (nan)   \n",
       "Other_Mixed: 30                             nan (nan)       nan (nan)   \n",
       "Indian: 30                                  nan (nan)       nan (nan)   \n",
       "Pakistani: 35                               nan (nan)       nan (nan)   \n",
       "Bangladeshi: 35                             nan (nan)       nan (nan)   \n",
       "Other_Asian: 30                             nan (nan)       nan (nan)   \n",
       "Caribbean: 35                               nan (nan)       nan (nan)   \n",
       "African: 40                                 nan (nan)       nan (nan)   \n",
       "Other_Black: 25                             nan (nan)       nan (nan)   \n",
       "Chinese: 35                                 nan (nan)       nan (nan)   \n",
       "Any_other_ethnic_group: 25                  nan (nan)       nan (nan)   \n",
       "\n",
       "                              other mixed     indian  pakistani bangladeshi  \\\n",
       "16 PRIMIS:2021                                                                \n",
       "White_British: 35               nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_Irish: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_White: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Black_Caribbean: 25   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Black_African: 30     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Asian: 25             nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Mixed: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Indian: 30                      nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Pakistani: 35                   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Bangladeshi: 35                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Asian: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Caribbean: 35                   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "African: 40                     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Black: 25                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Chinese: 35                     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Any_other_ethnic_group: 25      nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "\n",
       "                              other asian  caribbean    african other black  \\\n",
       "16 PRIMIS:2021                                                                \n",
       "White_British: 35               nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_Irish: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_White: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Black_Caribbean: 25   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Black_African: 30     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "White_and_Asian: 25             nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Mixed: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Indian: 30                      nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Pakistani: 35                   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Bangladeshi: 35                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Asian: 30                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Caribbean: 35                   nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "African: 40                     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Other_Black: 25                 nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Chinese: 35                     nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "Any_other_ethnic_group: 25      nan (nan)  nan (nan)  nan (nan)   nan (nan)   \n",
       "\n",
       "                                 chinese any other ethnic group        any  \n",
       "16 PRIMIS:2021                                                              \n",
       "White_British: 35              nan (nan)              nan (nan)  25 (71.4)  \n",
       "White_Irish: 30                nan (nan)              nan (nan)  25 (83.3)  \n",
       "Other_White: 30                nan (nan)              nan (nan)  20 (66.7)  \n",
       "White_and_Black_Caribbean: 25  nan (nan)              nan (nan)  20 (80.0)  \n",
       "White_and_Black_African: 30    nan (nan)              nan (nan)  20 (66.7)  \n",
       "White_and_Asian: 25            nan (nan)              nan (nan)  15 (60.0)  \n",
       "Other_Mixed: 30                nan (nan)              nan (nan)  15 (50.0)  \n",
       "Indian: 30                     nan (nan)              nan (nan)  20 (66.7)  \n",
       "Pakistani: 35                  nan (nan)              nan (nan)  20 (57.1)  \n",
       "Bangladeshi: 35                nan (nan)              nan (nan)  25 (71.4)  \n",
       "Other_Asian: 30                nan (nan)              nan (nan)  20 (66.7)  \n",
       "Caribbean: 35                  nan (nan)              nan (nan)  20 (57.1)  \n",
       "African: 40                    nan (nan)              nan (nan)  25 (62.5)  \n",
       "Other_Black: 25                nan (nan)              nan (nan)  15 (60.0)  \n",
       "Chinese: 35                    nan (nan)              nan (nan)  20 (57.1)  \n",
       "Any_other_ethnic_group: 25     nan (nan)              nan (nan)  15 (60.0)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for definition in definitions_16:\n",
    "        df_state_change = pd.read_csv(f'../output/{output_path_16}/simple_state_change_{definition}{suffix}_registered.csv').set_index(definition)\n",
    "        df_state_change.columns = df_state_change.columns.str.replace(definition + \"_\", \"\")\n",
    "        df_state_change.columns = df_state_change.columns.str.lower()\n",
    "        #resort rows\n",
    "        df_state_change = df_state_change.reindex(list(code_dict_16[definition].values()))\n",
    "        df_state_change = df_state_change.reset_index()\n",
    "        \n",
    "        df_state_change[definition]=df_state_change[definition]+\": \" +df_state_change[\"n\"].apply(lambda x: \"{:,.0f}\".format(x))\n",
    "        df_state_change = df_state_change.set_index(definition)\n",
    "        globals()[f'df_sc_pct_{definition}'] = df_state_change\n",
    "        for item in lowerlist_16 + list([\"any\"]):\n",
    "            df_state_change[item + \"_pct\"]= round(\n",
    "                    (df_state_change[item].div(df_state_change[\"n\"])) * 100, 1\n",
    "                )\n",
    "        \n",
    "            df_state_change[item] = (\n",
    "                    df_state_change[item].apply(lambda x: \"{:,.0f}\".format(x))\n",
    "                    + \" (\"\n",
    "                    + df_state_change[item + \"_pct\"].astype(str)\n",
    "                    + \")\"\n",
    "                )\n",
    "        df_state_change=df_state_change[lowerlist_16+ list([\"any\"])]\n",
    "        df_state_change = df_state_change.reset_index()\n",
    "        df_state_change = df_state_change.rename(definition_dict, axis='columns')\n",
    "        df_state_change = df_state_change.set_index(definition_dict[definition])\n",
    "        df_state_change.columns = df_state_change.columns.str.replace(\"_\", \" \")\n",
    "        display(df_state_change)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Discussion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "This study has shown that primary care ethnicity data made available via OpenSAFELY is complete for around three quarters of all patients. However, recording ethnicity is not straightforward. Indeed, despite often being used as a key variable to describe health, the idea of “ethnicity” has been disputed. Self-identified ethnicity is not a fixed concept and evolving socio-cultural trends could contribute to changes in a person’s self-identified ethnic group, particularly for those with mixed heritage. It is therefore perhaps not surprising to see lower levels of concordance between latest ethnicity and most common ethnicity in those with latest ethnicity coded as ‘mixed’. \n",
       "\n",
       "In OpenSAFELY ethnicity in primary care was originally grouped using the 2020-CTV3 codelist. However, this codelist does not strictly follow the grouping of the 2001 Census, which is the NHS standard for ethnicity. The common practice of supplementing 2020-CTV3 coded ethnicity with either SUS data or the PRIMIS codelists could lead to inconsistent classification as both SUS data and PRIMIS codelists follow the 2001 census groups. \n",
       "\n",
       "We believe that the 2022-SNOMED codelist provides a more consistent representation of ethnicity as defined by the 2001 census groups and should be the preferred codelist for primary care ethnicity. \n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"\"\"\n",
    "This study has shown that primary care ethnicity data made available via OpenSAFELY is complete for around three quarters of all patients. However, recording ethnicity is not straightforward. Indeed, despite often being used as a key variable to describe health, the idea of “ethnicity” has been disputed. Self-identified ethnicity is not a fixed concept and evolving socio-cultural trends could contribute to changes in a person’s self-identified ethnic group, particularly for those with mixed heritage. It is therefore perhaps not surprising to see lower levels of concordance between latest ethnicity and most common ethnicity in those with latest ethnicity coded as ‘mixed’. \n",
    "\n",
    "In OpenSAFELY ethnicity in primary care was originally grouped using the 2020-CTV3 codelist. However, this codelist does not strictly follow the grouping of the 2001 Census, which is the NHS standard for ethnicity. The common practice of supplementing 2020-CTV3 coded ethnicity with either SUS data or the PRIMIS codelists could lead to inconsistent classification as both SUS data and PRIMIS codelists follow the 2001 census groups. \n",
    "\n",
    "We believe that the 2022-SNOMED codelist provides a more consistent representation of ethnicity as defined by the 2001 census groups and should be the preferred codelist for primary care ethnicity. \n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Limitations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "It is common for OpenSAFELY studies to supplement the primary care recorded ethnicity, where missing, with ethnicity data from the Secondary Uses Service (SUS). This study has focussed solely on the primary care recorded ethnicity. Due to the way that non-native data, such as GP2GP data and historical data, are imported into TPP the date of ethnicity recorded is not always available therefore chronology is unreliable for ethnicity data. \n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"\"\"\n",
    "It is common for OpenSAFELY studies to supplement the primary care recorded ethnicity, where missing, with ethnicity data from the Secondary Uses Service (SUS). This study has focussed solely on the primary care recorded ethnicity. Due to the way that non-native data, such as GP2GP data and historical data, are imported into TPP the date of ethnicity recorded is not always available therefore chronology is unreliable for ethnicity data. \n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "This report describes existing methods to derive primary care ethnicity in OpenSAFELY-TPP and suggests the adoption of the 2022-SNOMED codelist as the new standard method. It is a living document that can be periodically re-run to evaluate the most current best practices for research. If you have improvements or forks, please contact the OpenSAFELY data team.\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"\"\"\n",
    "This report describes existing methods to derive primary care ethnicity in OpenSAFELY-TPP and suggests the adoption of the 2022-SNOMED codelist as the new standard method. It is a living document that can be periodically re-run to evaluate the most current best practices for research. If you have improvements or forks, please contact the OpenSAFELY data team.\n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "## Technical details\n",
       "\n",
       "This notebook was run on 2022-10-26. The information below is based on data extracted from the OpenSAFELY-TPP database on 2022-10-24.\n",
       "\n",
       "If a clinical code appears in the primary care record on multiple dates, the latest date is used. \n",
       "\n",
       "\n",
       "Only patients registered at their practice on January 1 2022 are included.\n",
       "\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from datetime import date, timedelta\n",
    "# get data extraction date\n",
    "extract_date = pd.to_datetime(os.path.getmtime(f\"../output/{output_path_16}/simple_patient_counts_registered.csv\"), unit='s')\n",
    "# get notebook run date\n",
    "run_date = date.today()\n",
    "\n",
    "display(Markdown(f\"\"\"\n",
    "## Technical details\n",
    "\n",
    "This notebook was run on {run_date.strftime('%Y-%m-%d')}. The information below is based on data extracted from the OpenSAFELY-TPP database on {extract_date.strftime('%Y-%m-%d')}.\n",
    "\n",
    "If a clinical code appears in the primary care record on multiple dates, the latest date is used. \n",
    "\n",
    "\n",
    "Only patients registered at their practice on January 1 2022 are included.\n",
    "\n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "state change\n",
      "ethnicity_5\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([10. ,  nan,  nan, 11.1, 10. ])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "minimum is 10.0 in ['white_pct' 'other_pct']\n",
      "maximum is 11.1 in ['black_pct']\n",
      "ethnicity_new_5\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([11.7,  nan, 18.2,  nan,  nan])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "minimum is 11.7 in ['white_pct']\n",
      "maximum is 18.2 in ['asian_pct']\n",
      "ethnicity_primis_5\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([11.1,  nan,  nan,  9.1, 10.5])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "minimum is 9.1 in ['black_pct']\n",
      "maximum is 11.1 in ['white_pct']\n",
      "ethnicity_16\n",
      "minimum is nan in []\n",
      "maximum is nan in []\n",
      "ethnicity_new_16\n",
      "minimum is nan in []\n",
      "maximum is nan in []\n",
      "ethnicity_primis_16\n",
      "minimum is nan in []\n",
      "maximum is nan in []\n"
     ]
    }
   ],
   "source": [
    "print(\"state change\")\n",
    "for definition in definitions_5:\n",
    "    print(definition)\n",
    "    percs=globals()[f\"df_sc_pct_{definition}\"]\n",
    "    percs=percs.loc[:, percs.columns.str.endswith('pct')]\n",
    "    percs = percs.drop( columns='any_pct')\n",
    "    diags=np.diagonal(percs)\n",
    "    display(diags)\n",
    "\n",
    "\n",
    "    print(f\"minimum is {min(diags)} in {percs.columns.values[diags==min(diags)]}\")\n",
    "    print(f\"maximum is {max(diags)} in {percs.columns.values[diags==max(diags)]}\")\n",
    "\n",
    "for definition in definitions_16:\n",
    "    print(definition)\n",
    "    percs=globals()[f\"df_sc_pct_{definition}\"]\n",
    "    percs=percs.loc[:, percs.columns.str.endswith('pct')]\n",
    "    percs = percs.drop( columns='any_pct')\n",
    "    diags=np.diagonal(percs)\n",
    "\n",
    "    print(f\"minimum is {min(diags)} in {percs.columns.values[diags==min(diags)]}\")\n",
    "    print(f\"maximum is {max(diags)} in {percs.columns.values[diags==max(diags)]}\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "latest / most frequent\n",
      "ethnicity_5\n",
      "Minimums\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ethnicity_5\n",
       "White   25\n",
       "Mixed   50\n",
       "Asian   33\n",
       "Black   50\n",
       "Other   60\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximums\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ethnicity_5\n",
       "White   25\n",
       "Mixed   50\n",
       "Asian   33\n",
       "Black   50\n",
       "Other   60\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "ethnicity_new_5\n",
      "Minimums\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ethnicity_new_5\n",
       "White    19\n",
       "Mixed   NaN\n",
       "Asian   100\n",
       "Black   100\n",
       "Other   NaN\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximums\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ethnicity_new_5\n",
       "White    23\n",
       "Mixed   NaN\n",
       "Asian   100\n",
       "Black   100\n",
       "Other   NaN\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "ethnicity_primis_5\n",
      "Minimums\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ethnicity_primis_5\n",
       "White   100\n",
       "Mixed   NaN\n",
       "Asian    22\n",
       "Black    25\n",
       "Other   100\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximums\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ethnicity_primis_5\n",
       "White   100\n",
       "Mixed   NaN\n",
       "Asian    33\n",
       "Black    25\n",
       "Other   100\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "ethnicity_16\n",
      "Minimums\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ethnicity_16\n",
       "White_British               NaN\n",
       "White_Irish                 NaN\n",
       "Other_White                 NaN\n",
       "White_and_Black_Caribbean   NaN\n",
       "White_and_Black_African     NaN\n",
       "White_and_Asian             NaN\n",
       "Other_Mixed                 NaN\n",
       "Indian                      NaN\n",
       "Pakistani                   NaN\n",
       "Bangladeshi                 NaN\n",
       "Other_Asian                 NaN\n",
       "Caribbean                   NaN\n",
       "African                     NaN\n",
       "Other_Black                 NaN\n",
       "Chinese                     NaN\n",
       "Any_other_ethnic_group      NaN\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "nan"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximums\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ethnicity_16\n",
       "White_British               NaN\n",
       "White_Irish                 NaN\n",
       "Other_White                 NaN\n",
       "White_and_Black_Caribbean   NaN\n",
       "White_and_Black_African     NaN\n",
       "White_and_Asian             NaN\n",
       "Other_Mixed                 NaN\n",
       "Indian                      NaN\n",
       "Pakistani                   NaN\n",
       "Bangladeshi                 NaN\n",
       "Other_Asian                 NaN\n",
       "Caribbean                   NaN\n",
       "African                     NaN\n",
       "Other_Black                 NaN\n",
       "Chinese                     NaN\n",
       "Any_other_ethnic_group      NaN\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "ethnicity_new_16\n",
      "Minimums\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ethnicity_new_16\n",
       "White_British               NaN\n",
       "White_Irish                 NaN\n",
       "Other_White                 NaN\n",
       "White_and_Black_Caribbean   NaN\n",
       "White_and_Black_African     NaN\n",
       "White_and_Asian             NaN\n",
       "Other_Mixed                 NaN\n",
       "Indian                      NaN\n",
       "Pakistani                   NaN\n",
       "Bangladeshi                 NaN\n",
       "Other_Asian                 NaN\n",
       "Caribbean                   NaN\n",
       "African                     NaN\n",
       "Other_Black                 NaN\n",
       "Chinese                     NaN\n",
       "Any_other_ethnic_group      NaN\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "nan"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximums\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ethnicity_new_16\n",
       "White_British               NaN\n",
       "White_Irish                 NaN\n",
       "Other_White                 NaN\n",
       "White_and_Black_Caribbean   NaN\n",
       "White_and_Black_African     NaN\n",
       "White_and_Asian             NaN\n",
       "Other_Mixed                 NaN\n",
       "Indian                      NaN\n",
       "Pakistani                   NaN\n",
       "Bangladeshi                 NaN\n",
       "Other_Asian                 NaN\n",
       "Caribbean                   NaN\n",
       "African                     NaN\n",
       "Other_Black                 NaN\n",
       "Chinese                     NaN\n",
       "Any_other_ethnic_group      NaN\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "ethnicity_primis_16\n",
      "Minimums\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ethnicity_primis_16\n",
       "White_British               NaN\n",
       "White_Irish                 NaN\n",
       "Other_White                 NaN\n",
       "White_and_Black_Caribbean   NaN\n",
       "White_and_Black_African     NaN\n",
       "White_and_Asian             NaN\n",
       "Other_Mixed                 NaN\n",
       "Indian                      NaN\n",
       "Pakistani                   NaN\n",
       "Bangladeshi                 NaN\n",
       "Other_Asian                 NaN\n",
       "Caribbean                   NaN\n",
       "African                     NaN\n",
       "Other_Black                 NaN\n",
       "Chinese                     NaN\n",
       "Any_other_ethnic_group      NaN\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "nan"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximums\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ethnicity_primis_16\n",
       "White_British               NaN\n",
       "White_Irish                 NaN\n",
       "Other_White                 NaN\n",
       "White_and_Black_Caribbean   NaN\n",
       "White_and_Black_African     NaN\n",
       "White_and_Asian             NaN\n",
       "Other_Mixed                 NaN\n",
       "Indian                      NaN\n",
       "Pakistani                   NaN\n",
       "Bangladeshi                 NaN\n",
       "Other_Asian                 NaN\n",
       "Caribbean                   NaN\n",
       "African                     NaN\n",
       "Other_Black                 NaN\n",
       "Chinese                     NaN\n",
       "Any_other_ethnic_group      NaN\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"latest / most frequent\")\n",
    "for definition in definitions_5:\n",
    "    print(definition)\n",
    "    percs=globals()[f\"df_sum_pct_{definition}\"]\n",
    "    percs=percs.loc[:, percs.columns.str.endswith('pct')]\n",
    "    np.fill_diagonal(percs.values, np.nan)\n",
    "    print(\"Minimums\")\n",
    "    display(percs.min(axis=1))\n",
    "    print(\"Maximums\")\n",
    "    display(percs.max(axis=1))\n",
    "    print(\"\")\n",
    "\n",
    "for definition in definitions_16:\n",
    "    print(definition)\n",
    "    percs=globals()[f\"df_sum_pct_{definition}\"]\n",
    "    percs=percs.loc[:, percs.columns.str.endswith('pct')]\n",
    "    np.fill_diagonal(percs.values, np.nan)\n",
    "    print(\"Minimums\")\n",
    "    display(percs.min(axis=1))\n",
    "    display(percs.min(axis=1).min())\n",
    "    print(\"Maximums\")\n",
    "    display(percs.max(axis=1))\n",
    "    percs.max(axis=1).max()\n",
    "    print(\"\")\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "bd7deed66f04c8f1cb07fbe5b34625baefe8e7d41af3b53c9662fc8ba397df1b"
  },
  "kernelspec": {
   "display_name": "Python 3.9.7 ('base')",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
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 },
 "nbformat": 4,
 "nbformat_minor": 4
}