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 :  One Clinical Terms Version 3 (CTV3) Codelist \"[CTV3:2020](https://www.opencodelists.org/codelist/opensafely/ethnicity/2020-04-27)\", and two systematised nomenclature of medicine clinical terms (SNOMED CT) codelists \"[SNOMED:2022](https://www.opencodelists.org/codelist/opensafely/ethnicity-snomed-0removed/2e641f61/)\" and \"[PRIMIS:2021](https://www.opencodelists.org/codelist/primis-covid19-vacc-uptake/eth2001/v1/)\".\n",
    "\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 report has focussed solely on the primary care recorded ethnicity. The representativeness of the CTV3:2020 coded ethnicity supplemented with SUS data has been [reported previously](https://wellcomeopenresearch.org/articles/7-191/v1).\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 Electronic Healthcare Records (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 : \"[CTV3:2020](https://www.opencodelists.org/codelist/opensafely/ethnicity/2020-04-27)\", \"[SNOMED:2022](https://www.opencodelists.org/codelist/opensafely/ethnicity-snomed-0removed/2e641f61/)\" and \"[PRIMIS:2021](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",
    "All patient counts are rounded to the nearest 5. Percentages may not add to exactly 100 due to rounding.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 499,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 500,
   "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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 501,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def local_patient_counts(\n",
    "    definitions, output_path, code_dict=\"\", categories=False, missing=False,quietly =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.reset_index()\n",
    "    df_append = df_append.replace(\"True\", \"Yes\")\n",
    "    df_append = df_append.replace(\"False\", \"No\")\n",
    "    df_append = df_append.set_index([\"group\", \"subgroup\"])\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",
    "    if quietly == False:\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": 502,
   "metadata": {},
   "outputs": [],
   "source": [
    "### CONFIGURE ###\n",
    "definitions_5 = [ 'ethnicity_new_5','ethnicity_5', 'ethnicity_primis_5']\n",
    "definitions_16 = ['ethnicity_new_16', 'ethnicity_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: \"Asian\", 2: \"Black\", 3: \"Mixed\", 4: \"White\", 5: \"Other\"},\n",
    "    \"ethnicity_new_5\": {1: \"Asian\", 2: \"Black\", 3: \"Mixed\", 4: \"White\", 5: \"Other\"},\n",
    "    \"ethnicity_primis_5\": {1: \"Asian\", 2: \"Black\", 3: \"Mixed\", 4: \"White\", 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: \"Indian\",\n",
    "        2: \"Pakistani\",\n",
    "        3: \"Bangladeshi\",\n",
    "        4: \"Other_Asian\",\n",
    "        5: \"Caribbean\",\n",
    "        6: \"African\",\n",
    "        7: \"Other_Black\",\n",
    "        8: \"White_and_Black_Caribbean\",\n",
    "        9: \"White_and_Black_African\",\n",
    "        10: \"White_and_Asian\",\n",
    "        11: \"Other_Mixed\",\n",
    "        12: \"White_British\",\n",
    "        13: \"White_Irish\",\n",
    "        14: \"Other_White\",\n",
    "        15: \"Chinese\",\n",
    "        16: \"Any_other_ethnic_group\",\n",
    "    },\n",
    "    \"ethnicity_new_16\": {\n",
    "        1: \"Indian\",\n",
    "        2: \"Pakistani\",\n",
    "        3: \"Bangladeshi\",\n",
    "        4: \"Other_Asian\",\n",
    "        5: \"Caribbean\",\n",
    "        6: \"African\",\n",
    "        7: \"Other_Black\",\n",
    "        8: \"White_and_Black_Caribbean\",\n",
    "        9: \"White_and_Black_African\",\n",
    "        10: \"White_and_Asian\",\n",
    "        11: \"Other_Mixed\",\n",
    "        12: \"White_British\",\n",
    "        13: \"White_Irish\",\n",
    "        14: \"Other_White\",\n",
    "        15: \"Chinese\",\n",
    "        16: \"Any_other_ethnic_group\",\n",
    "    },\n",
    "    \"ethnicity_primis_16\": {\n",
    "        1: \"Indian\",\n",
    "        2: \"Pakistani\",\n",
    "        3: \"Bangladeshi\",\n",
    "        4: \"Other_Asian\",\n",
    "        5: \"Caribbean\",\n",
    "        6: \"African\",\n",
    "        7: \"Other_Black\",\n",
    "        8: \"White_and_Black_Caribbean\",\n",
    "        9: \"White_and_Black_African\",\n",
    "        10: \"White_and_Asian\",\n",
    "        11: \"Other_Mixed\",\n",
    "        12: \"White_British\",\n",
    "        13: \"White_Irish\",\n",
    "        14: \"Other_White\",\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": 503,
   "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": 504,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Run quietly to obtain globals for Markdown\n",
    "local_patient_counts(\n",
    "         definitions_5,  output_path_5,quietly=True\n",
    "    )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 505,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "Around 0.00028 million patients who have been registered in OpenSAFELY-TPP are identified in all three codelists. CTV3:2020 is the most well-populated with 0.000495 million patients having at least one CTV3:2020 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 are identified in all three codelists. CTV3:2020 is the most well-populated with {float('%.3g' % total[\"ethnicity_new_5_filled\"][0])/1000000} million patients having at least one CTV3:2020 recording of ethnicity. \n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 506,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "        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>5 SNOMED:2022</th>\n",
       "      <th>5 CTV3:2020</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>495 (76.2)</td>\n",
       "      <td>480 (73.8)</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>60 (85.7)</td>\n",
       "      <td>50 (71.4)</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>65 (72.2)</td>\n",
       "      <td>70 (77.8)</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>65 (81.2)</td>\n",
       "      <td>55 (68.8)</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>55 (73.3)</td>\n",
       "      <td>50 (66.7)</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>55 (78.6)</td>\n",
       "      <td>50 (71.4)</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>60 (75.0)</td>\n",
       "      <td>65 (81.2)</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>70 (73.7)</td>\n",
       "      <td>65 (68.4)</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>255 (76.1)</td>\n",
       "      <td>250 (74.6)</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>240 (76.2)</td>\n",
       "      <td>230 (73.0)</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>20 (66.7)</td>\n",
       "      <td>25 (83.3)</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>80 (76.2)</td>\n",
       "      <td>75 (71.4)</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>30 (75.0)</td>\n",
       "      <td>25 (62.5)</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>30 (75.0)</td>\n",
       "      <td>35 (87.5)</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>50 (76.9)</td>\n",
       "      <td>45 (69.2)</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>45 (81.8)</td>\n",
       "      <td>40 (72.7)</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>95 (79.2)</td>\n",
       "      <td>85 (70.8)</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>120 (82.8)</td>\n",
       "      <td>110 (75.9)</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>No</th>\n",
       "      <td>490 (76.6)</td>\n",
       "      <td>475 (74.2)</td>\n",
       "      <td>475 (74.2)</td>\n",
       "      <td>280 (43.8)</td>\n",
       "      <td>640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</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>No</th>\n",
       "      <td>490 (76.0)</td>\n",
       "      <td>475 (73.6)</td>\n",
       "      <td>480 (74.4)</td>\n",
       "      <td>275 (42.6)</td>\n",
       "      <td>645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</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>No</th>\n",
       "      <td>490 (76.0)</td>\n",
       "      <td>475 (73.6)</td>\n",
       "      <td>480 (74.4)</td>\n",
       "      <td>280 (43.4)</td>\n",
       "      <td>645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</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>No</th>\n",
       "      <td>490 (76.0)</td>\n",
       "      <td>475 (73.6)</td>\n",
       "      <td>480 (74.4)</td>\n",
       "      <td>275 (42.6)</td>\n",
       "      <td>645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</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 SNOMED:2022 5 CTV3:2020  \\\n",
       "group               subgroup                                             \n",
       "all                 with records                495 (76.2)  480 (73.8)   \n",
       "age_band            0-19                         60 (85.7)   50 (71.4)   \n",
       "                    20-29                        65 (72.2)   70 (77.8)   \n",
       "                    30-39                        65 (81.2)   55 (68.8)   \n",
       "                    40-49                        55 (73.3)   50 (66.7)   \n",
       "                    50-59                        55 (78.6)   50 (71.4)   \n",
       "                    60-69                        70 (73.7)   70 (73.7)   \n",
       "                    70-79                        60 (75.0)   65 (81.2)   \n",
       "                    80+                          70 (73.7)   65 (68.4)   \n",
       "sex                 F                           255 (76.1)  250 (74.6)   \n",
       "                    M                           240 (76.2)  230 (73.0)   \n",
       "region              East Midlands                20 (66.7)   25 (83.3)   \n",
       "                    East of England              35 (77.8)   35 (77.8)   \n",
       "                    London                       80 (76.2)   75 (71.4)   \n",
       "                    North East                   30 (75.0)   25 (62.5)   \n",
       "                    North West                   30 (75.0)   35 (87.5)   \n",
       "                    South East                   50 (76.9)   45 (69.2)   \n",
       "                    West Midlands                35 (70.0)   35 (70.0)   \n",
       "                    Yorkshire and the Humber     45 (81.8)   40 (72.7)   \n",
       "imd                 1 Most deprived              95 (79.2)   85 (70.8)   \n",
       "                    2                            85 (70.8)   85 (70.8)   \n",
       "                    3                           120 (82.8)  110 (75.9)   \n",
       "                    4                           100 (74.1)  100 (74.1)   \n",
       "                    5 Least deprived             95 (76.0)   95 (76.0)   \n",
       "                    Unknown                          - (-)       - (-)   \n",
       "dementia            No                          490 (76.6)  475 (74.2)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "diabetes            No                          490 (76.0)  475 (73.6)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "hypertension        No                          490 (76.0)  475 (73.6)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "learning_disability No                          490 (76.0)  475 (73.6)   \n",
       "                    Yes                              - (-)       - (-)   \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            No                          475 (74.2)  280 (43.8)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "diabetes            No                          480 (74.4)  275 (42.6)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "hypertension        No                          480 (74.4)  280 (43.4)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "learning_disability No                          480 (74.4)  275 (42.6)   \n",
       "                    Yes                              - (-)       - (-)   \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            No                              640  \n",
       "                    Yes                              10  \n",
       "diabetes            No                              645  \n",
       "                    Yes                               -  \n",
       "hypertension        No                              645  \n",
       "                    Yes                               -  \n",
       "learning_disability No                              645  \n",
       "                    Yes                               -  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "local_patient_counts(\n",
    "         definitions_5,  output_path_5\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ethnicity by group"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5 Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 507,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Run quietly to obtain globals for Markdown\n",
    "local_patient_counts(\n",
    "         definitions_5,  output_path_5,code_dict_5, categories=True,missing=False,quietly=True\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 508,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "The SNOMED:2022 is the most well-populated codelist for `White` (300), `Mixed` (45), `Asian` (55) and `Black` (50) ethnicities. The CTV3:2020 codelist classifies more people as `Other` than the SNOMED:2022 codelist (100 and 45 respectively), however, the CTV3:2020 codelist includes some codes relating to religion rather than ethnicity (e.g. \"XaJSe: Muslim - ethnic category 2001 census\") which were excluded from the SNOMED:2022 codelist.\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"\"\"\n",
    "The SNOMED:2022 is the most well-populated codelist 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 CTV3:2020 codelist classifies more people as `Other` than the SNOMED:2022 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 CTV3:2020 codelist includes some codes relating to religion rather than ethnicity (e.g. \"XaJSe: Muslim - ethnic category 2001 census\") which were excluded from the SNOMED:2022 codelist.\n",
    "\"\"\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 509,
   "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>Asian 5 SNOMED:2022</th>\n",
       "      <th>Asian 5 CTV3:2020</th>\n",
       "      <th>Asian 5 PRIMIS:2021</th>\n",
       "      <th>Black 5 SNOMED:2022</th>\n",
       "      <th>Black 5 CTV3:2020</th>\n",
       "      <th>Black 5 PRIMIS:2021</th>\n",
       "      <th>Mixed 5 SNOMED:2022</th>\n",
       "      <th>Mixed 5 CTV3:2020</th>\n",
       "      <th>Mixed 5 PRIMIS:2021</th>\n",
       "      <th>White 5 SNOMED:2022</th>\n",
       "      <th>White 5 CTV3:2020</th>\n",
       "      <th>White 5 PRIMIS:2021</th>\n",
       "      <th>Other 5 SNOMED:2022</th>\n",
       "      <th>Other 5 CTV3:2020</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>55 (11.1)</td>\n",
       "      <td>95 (19.2)</td>\n",
       "      <td>110 (22.2)</td>\n",
       "      <td>50 (10.1)</td>\n",
       "      <td>90 (18.2)</td>\n",
       "      <td>110 (22.2)</td>\n",
       "      <td>45 (9.1)</td>\n",
       "      <td>95 (19.2)</td>\n",
       "      <td>80 (16.2)</td>\n",
       "      <td>300 (60.6)</td>\n",
       "      <td>100 (20.2)</td>\n",
       "      <td>90 (18.2)</td>\n",
       "      <td>45 (9.1)</td>\n",
       "      <td>100 (20.2)</td>\n",
       "      <td>95 (19.2)</td>\n",
       "      <td>280 (56.6)</td>\n",
       "      <td>495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">age_band</th>\n",
       "      <th>0-19</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>15 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>35 (58.3)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>15 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>10 (16.7)</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>20 (30.8)</td>\n",
       "      <td>20 (30.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (30.8)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>45 (69.2)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>20 (30.8)</td>\n",
       "      <td>35 (53.8)</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30-39</th>\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>15 (23.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>45 (69.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (23.1)</td>\n",
       "      <td>10 (15.4)</td>\n",
       "      <td>35 (53.8)</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40-49</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (27.3)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>35 (63.6)</td>\n",
       "      <td>15 (27.3)</td>\n",
       "      <td>15 (27.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (27.3)</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>10 (18.2)</td>\n",
       "      <td>15 (27.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (27.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>35 (63.6)</td>\n",
       "      <td>15 (27.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (45.5)</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60-69</th>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>20 (28.6)</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>10 (14.3)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>35 (50.0)</td>\n",
       "      <td>20 (28.6)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (21.4)</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>- (-)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>15 (25.0)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>15 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (25.0)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>35 (58.3)</td>\n",
       "      <td>15 (25.0)</td>\n",
       "      <td>15 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (25.0)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>40 (66.7)</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80+</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>15 (21.4)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>15 (21.4)</td>\n",
       "      <td>15 (21.4)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>15 (21.4)</td>\n",
       "      <td>15 (21.4)</td>\n",
       "      <td>40 (57.1)</td>\n",
       "      <td>15 (21.4)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (14.3)</td>\n",
       "      <td>15 (21.4)</td>\n",
       "      <td>35 (50.0)</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
       "      <th>F</th>\n",
       "      <td>25 (9.8)</td>\n",
       "      <td>55 (21.6)</td>\n",
       "      <td>50 (19.6)</td>\n",
       "      <td>30 (11.8)</td>\n",
       "      <td>50 (19.6)</td>\n",
       "      <td>50 (19.6)</td>\n",
       "      <td>25 (9.8)</td>\n",
       "      <td>40 (15.7)</td>\n",
       "      <td>45 (17.6)</td>\n",
       "      <td>150 (58.8)</td>\n",
       "      <td>55 (21.6)</td>\n",
       "      <td>50 (19.6)</td>\n",
       "      <td>20 (7.8)</td>\n",
       "      <td>50 (19.6)</td>\n",
       "      <td>45 (17.6)</td>\n",
       "      <td>145 (56.9)</td>\n",
       "      <td>255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>25 (10.4)</td>\n",
       "      <td>40 (16.7)</td>\n",
       "      <td>60 (25.0)</td>\n",
       "      <td>20 (8.3)</td>\n",
       "      <td>40 (16.7)</td>\n",
       "      <td>60 (25.0)</td>\n",
       "      <td>20 (8.3)</td>\n",
       "      <td>55 (22.9)</td>\n",
       "      <td>35 (14.6)</td>\n",
       "      <td>150 (62.5)</td>\n",
       "      <td>45 (18.8)</td>\n",
       "      <td>40 (16.7)</td>\n",
       "      <td>20 (8.3)</td>\n",
       "      <td>45 (18.8)</td>\n",
       "      <td>45 (18.8)</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>10 (50.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (50.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (50.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (75.0)</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East of England</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (42.9)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (71.4)</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>London</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (18.8)</td>\n",
       "      <td>20 (25.0)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>15 (18.8)</td>\n",
       "      <td>15 (18.8)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>15 (18.8)</td>\n",
       "      <td>15 (18.8)</td>\n",
       "      <td>50 (62.5)</td>\n",
       "      <td>15 (18.8)</td>\n",
       "      <td>15 (18.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (18.8)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>45 (56.2)</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North East</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (33.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (33.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (33.3)</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>10 (33.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (33.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (33.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (50.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (33.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (66.7)</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South East</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (30.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>30 (60.0)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>25 (50.0)</td>\n",
       "      <td>50</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>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>20 (57.1)</td>\n",
       "      <td>10 (28.6)</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>- (-)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (33.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (55.6)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>25 (55.6)</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">imd</th>\n",
       "      <th>1 Most deprived</th>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>60 (63.2)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>45 (47.4)</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (17.6)</td>\n",
       "      <td>30 (35.3)</td>\n",
       "      <td>10 (11.8)</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>15 (17.6)</td>\n",
       "      <td>50 (58.8)</td>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>25 (29.4)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>20 (23.5)</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>10 (8.3)</td>\n",
       "      <td>25 (20.8)</td>\n",
       "      <td>20 (16.7)</td>\n",
       "      <td>15 (12.5)</td>\n",
       "      <td>25 (20.8)</td>\n",
       "      <td>30 (25.0)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>15 (12.5)</td>\n",
       "      <td>20 (16.7)</td>\n",
       "      <td>70 (58.3)</td>\n",
       "      <td>20 (16.7)</td>\n",
       "      <td>25 (20.8)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>20 (16.7)</td>\n",
       "      <td>15 (12.5)</td>\n",
       "      <td>70 (58.3)</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "      <td>25 (25.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>20 (20.0)</td>\n",
       "      <td>25 (25.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "      <td>20 (20.0)</td>\n",
       "      <td>60 (60.0)</td>\n",
       "      <td>25 (25.0)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>25 (25.0)</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>15 (15.8)</td>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>25 (26.3)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>60 (63.2)</td>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (21.1)</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>No</th>\n",
       "      <td>55 (11.2)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>110 (22.4)</td>\n",
       "      <td>50 (10.2)</td>\n",
       "      <td>90 (18.4)</td>\n",
       "      <td>105 (21.4)</td>\n",
       "      <td>45 (9.2)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>80 (16.3)</td>\n",
       "      <td>300 (61.2)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>90 (18.4)</td>\n",
       "      <td>40 (8.2)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>280 (57.1)</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</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>No</th>\n",
       "      <td>55 (11.2)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>110 (22.4)</td>\n",
       "      <td>50 (10.2)</td>\n",
       "      <td>90 (18.4)</td>\n",
       "      <td>110 (22.4)</td>\n",
       "      <td>45 (9.2)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>75 (15.3)</td>\n",
       "      <td>300 (61.2)</td>\n",
       "      <td>100 (20.4)</td>\n",
       "      <td>90 (18.4)</td>\n",
       "      <td>45 (9.2)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>275 (56.1)</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</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>No</th>\n",
       "      <td>55 (11.2)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>110 (22.4)</td>\n",
       "      <td>50 (10.2)</td>\n",
       "      <td>90 (18.4)</td>\n",
       "      <td>110 (22.4)</td>\n",
       "      <td>45 (9.2)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>75 (15.3)</td>\n",
       "      <td>300 (61.2)</td>\n",
       "      <td>100 (20.4)</td>\n",
       "      <td>90 (18.4)</td>\n",
       "      <td>45 (9.2)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>280 (57.1)</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</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>No</th>\n",
       "      <td>55 (11.2)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>105 (21.4)</td>\n",
       "      <td>50 (10.2)</td>\n",
       "      <td>90 (18.4)</td>\n",
       "      <td>110 (22.4)</td>\n",
       "      <td>45 (9.2)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>80 (16.3)</td>\n",
       "      <td>300 (61.2)</td>\n",
       "      <td>100 (20.4)</td>\n",
       "      <td>90 (18.4)</td>\n",
       "      <td>40 (8.2)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>95 (19.4)</td>\n",
       "      <td>275 (56.1)</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</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": [
       "                                             Asian 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                       55 (11.1)   \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 (9.8)   \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 (10.5)   \n",
       "                    2                                      - (-)   \n",
       "                    3                                   10 (8.3)   \n",
       "                    4                                      - (-)   \n",
       "                    5 Least deprived                   15 (15.8)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                 55 (11.2)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                 55 (11.2)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                 55 (11.2)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                 55 (11.2)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Asian 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                     95 (19.2)   \n",
       "age_band            0-19                             10 (16.7)   \n",
       "                    20-29                            20 (30.8)   \n",
       "                    30-39                            10 (15.4)   \n",
       "                    40-49                                - (-)   \n",
       "                    50-59                            10 (18.2)   \n",
       "                    60-69                            20 (28.6)   \n",
       "                    70-79                            10 (16.7)   \n",
       "                    80+                              10 (14.3)   \n",
       "sex                 F                                55 (21.6)   \n",
       "                    M                                40 (16.7)   \n",
       "region              East Midlands                        - (-)   \n",
       "                    East of England                  15 (42.9)   \n",
       "                    London                           15 (18.8)   \n",
       "                    North East                           - (-)   \n",
       "                    North West                       10 (33.3)   \n",
       "                    South East                           - (-)   \n",
       "                    West Midlands                        - (-)   \n",
       "                    Yorkshire and the Humber         10 (22.2)   \n",
       "imd                 1 Most deprived                  20 (21.1)   \n",
       "                    2                                15 (17.6)   \n",
       "                    3                                25 (20.8)   \n",
       "                    4                                15 (15.0)   \n",
       "                    5 Least deprived                 20 (21.1)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            No                               95 (19.4)   \n",
       "                    Yes                                  - (-)   \n",
       "diabetes            No                               95 (19.4)   \n",
       "                    Yes                                  - (-)   \n",
       "hypertension        No                               95 (19.4)   \n",
       "                    Yes                                  - (-)   \n",
       "learning_disability No                               95 (19.4)   \n",
       "                    Yes                                  - (-)   \n",
       "\n",
       "                                             Asian 5 PRIMIS:2021  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                      110 (22.2)   \n",
       "age_band            0-19                               15 (25.0)   \n",
       "                    20-29                              20 (30.8)   \n",
       "                    30-39                              10 (15.4)   \n",
       "                    40-49                              10 (18.2)   \n",
       "                    50-59                              15 (27.3)   \n",
       "                    60-69                              15 (21.4)   \n",
       "                    70-79                              15 (25.0)   \n",
       "                    80+                                15 (21.4)   \n",
       "sex                 F                                  50 (19.6)   \n",
       "                    M                                  60 (25.0)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                    10 (28.6)   \n",
       "                    London                             20 (25.0)   \n",
       "                    North East                         10 (33.3)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                         15 (30.0)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber           10 (22.2)   \n",
       "imd                 1 Most deprived                    20 (21.1)   \n",
       "                    2                                  30 (35.3)   \n",
       "                    3                                  20 (16.7)   \n",
       "                    4                                  25 (25.0)   \n",
       "                    5 Least deprived                   15 (15.8)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                110 (22.4)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                110 (22.4)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                110 (22.4)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                105 (21.4)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Black 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                       50 (10.1)   \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 (16.7)   \n",
       "                    80+                                10 (14.3)   \n",
       "sex                 F                                  30 (11.8)   \n",
       "                    M                                   20 (8.3)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                             10 (12.5)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                    10 (10.5)   \n",
       "                    2                                  10 (11.8)   \n",
       "                    3                                  15 (12.5)   \n",
       "                    4                                  10 (10.0)   \n",
       "                    5 Least deprived                       - (-)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                 50 (10.2)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                 50 (10.2)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                 50 (10.2)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                 50 (10.2)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Black 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                     90 (18.2)   \n",
       "age_band            0-19                             10 (16.7)   \n",
       "                    20-29                            10 (15.4)   \n",
       "                    30-39                            15 (23.1)   \n",
       "                    40-49                            15 (27.3)   \n",
       "                    50-59                                - (-)   \n",
       "                    60-69                            10 (14.3)   \n",
       "                    70-79                            10 (16.7)   \n",
       "                    80+                              15 (21.4)   \n",
       "sex                 F                                50 (19.6)   \n",
       "                    M                                40 (16.7)   \n",
       "region              East Midlands                        - (-)   \n",
       "                    East of England                  10 (28.6)   \n",
       "                    London                           15 (18.8)   \n",
       "                    North East                           - (-)   \n",
       "                    North West                           - (-)   \n",
       "                    South East                       10 (20.0)   \n",
       "                    West Midlands                        - (-)   \n",
       "                    Yorkshire and the Humber             - (-)   \n",
       "imd                 1 Most deprived                  20 (21.1)   \n",
       "                    2                                15 (17.6)   \n",
       "                    3                                25 (20.8)   \n",
       "                    4                                20 (20.0)   \n",
       "                    5 Least deprived                 15 (15.8)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            No                               90 (18.4)   \n",
       "                    Yes                                  - (-)   \n",
       "diabetes            No                               90 (18.4)   \n",
       "                    Yes                                  - (-)   \n",
       "hypertension        No                               90 (18.4)   \n",
       "                    Yes                                  - (-)   \n",
       "learning_disability No                               90 (18.4)   \n",
       "                    Yes                                  - (-)   \n",
       "\n",
       "                                             Black 5 PRIMIS:2021  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                      110 (22.2)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                              10 (15.4)   \n",
       "                    30-39                              15 (23.1)   \n",
       "                    40-49                              10 (18.2)   \n",
       "                    50-59                              15 (27.3)   \n",
       "                    60-69                              20 (28.6)   \n",
       "                    70-79                              15 (25.0)   \n",
       "                    80+                                15 (21.4)   \n",
       "sex                 F                                  50 (19.6)   \n",
       "                    M                                  60 (25.0)   \n",
       "region              East Midlands                      10 (50.0)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                             15 (18.8)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                         10 (33.3)   \n",
       "                    South East                         10 (20.0)   \n",
       "                    West Midlands                      10 (28.6)   \n",
       "                    Yorkshire and the Humber           15 (33.3)   \n",
       "imd                 1 Most deprived                    15 (15.8)   \n",
       "                    2                                  20 (23.5)   \n",
       "                    3                                  30 (25.0)   \n",
       "                    4                                  25 (25.0)   \n",
       "                    5 Least deprived                   25 (26.3)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                105 (21.4)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                110 (22.4)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                110 (22.4)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                110 (22.4)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Mixed 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                        45 (9.1)   \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 (14.3)   \n",
       "sex                 F                                   25 (9.8)   \n",
       "                    M                                   20 (8.3)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                             10 (12.5)   \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            No                                  45 (9.2)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                  45 (9.2)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                  45 (9.2)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                  45 (9.2)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Mixed 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                     95 (19.2)   \n",
       "age_band            0-19                             10 (16.7)   \n",
       "                    20-29                            20 (30.8)   \n",
       "                    30-39                            10 (15.4)   \n",
       "                    40-49                                - (-)   \n",
       "                    50-59                            10 (18.2)   \n",
       "                    60-69                            10 (14.3)   \n",
       "                    70-79                            15 (25.0)   \n",
       "                    80+                              15 (21.4)   \n",
       "sex                 F                                40 (15.7)   \n",
       "                    M                                55 (22.9)   \n",
       "region              East Midlands                        - (-)   \n",
       "                    East of England                      - (-)   \n",
       "                    London                           15 (18.8)   \n",
       "                    North East                           - (-)   \n",
       "                    North West                       10 (33.3)   \n",
       "                    South East                       10 (20.0)   \n",
       "                    West Midlands                        - (-)   \n",
       "                    Yorkshire and the Humber         10 (22.2)   \n",
       "imd                 1 Most deprived                  20 (21.1)   \n",
       "                    2                                20 (23.5)   \n",
       "                    3                                15 (12.5)   \n",
       "                    4                                15 (15.0)   \n",
       "                    5 Least deprived                 20 (21.1)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            No                               95 (19.4)   \n",
       "                    Yes                                  - (-)   \n",
       "diabetes            No                               95 (19.4)   \n",
       "                    Yes                                  - (-)   \n",
       "hypertension        No                               95 (19.4)   \n",
       "                    Yes                                  - (-)   \n",
       "learning_disability No                               95 (19.4)   \n",
       "                    Yes                                  - (-)   \n",
       "\n",
       "                                             Mixed 5 PRIMIS:2021  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                       80 (16.2)   \n",
       "age_band            0-19                               10 (16.7)   \n",
       "                    20-29                              10 (15.4)   \n",
       "                    30-39                              10 (15.4)   \n",
       "                    40-49                              10 (18.2)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                              10 (14.3)   \n",
       "                    70-79                              10 (16.7)   \n",
       "                    80+                                15 (21.4)   \n",
       "sex                 F                                  45 (17.6)   \n",
       "                    M                                  35 (14.6)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                             15 (18.8)   \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 (15.8)   \n",
       "                    2                                  15 (17.6)   \n",
       "                    3                                  20 (16.7)   \n",
       "                    4                                  20 (20.0)   \n",
       "                    5 Least deprived                   15 (15.8)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                 80 (16.3)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                 75 (15.3)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                 75 (15.3)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                 80 (16.3)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             White 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                      300 (60.6)   \n",
       "age_band            0-19                               35 (58.3)   \n",
       "                    20-29                              45 (69.2)   \n",
       "                    30-39                              45 (69.2)   \n",
       "                    40-49                              35 (63.6)   \n",
       "                    50-59                              35 (63.6)   \n",
       "                    60-69                              35 (50.0)   \n",
       "                    70-79                              35 (58.3)   \n",
       "                    80+                                40 (57.1)   \n",
       "sex                 F                                 150 (58.8)   \n",
       "                    M                                 150 (62.5)   \n",
       "region              East Midlands                      10 (50.0)   \n",
       "                    East of England                    25 (71.4)   \n",
       "                    London                             50 (62.5)   \n",
       "                    North East                         10 (33.3)   \n",
       "                    North West                         15 (50.0)   \n",
       "                    South East                         30 (60.0)   \n",
       "                    West Midlands                      20 (57.1)   \n",
       "                    Yorkshire and the Humber           25 (55.6)   \n",
       "imd                 1 Most deprived                    60 (63.2)   \n",
       "                    2                                  50 (58.8)   \n",
       "                    3                                  70 (58.3)   \n",
       "                    4                                  60 (60.0)   \n",
       "                    5 Least deprived                   60 (63.2)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                300 (61.2)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                300 (61.2)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                300 (61.2)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                300 (61.2)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             White 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                    100 (20.2)   \n",
       "age_band            0-19                             10 (16.7)   \n",
       "                    20-29                            10 (15.4)   \n",
       "                    30-39                                - (-)   \n",
       "                    40-49                            15 (27.3)   \n",
       "                    50-59                            15 (27.3)   \n",
       "                    60-69                            20 (28.6)   \n",
       "                    70-79                            15 (25.0)   \n",
       "                    80+                              15 (21.4)   \n",
       "sex                 F                                55 (21.6)   \n",
       "                    M                                45 (18.8)   \n",
       "region              East Midlands                        - (-)   \n",
       "                    East of England                      - (-)   \n",
       "                    London                           15 (18.8)   \n",
       "                    North East                           - (-)   \n",
       "                    North West                           - (-)   \n",
       "                    South East                       10 (20.0)   \n",
       "                    West Midlands                    10 (28.6)   \n",
       "                    Yorkshire and the Humber         10 (22.2)   \n",
       "imd                 1 Most deprived                  15 (15.8)   \n",
       "                    2                                20 (23.5)   \n",
       "                    3                                20 (16.7)   \n",
       "                    4                                25 (25.0)   \n",
       "                    5 Least deprived                 20 (21.1)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            No                               95 (19.4)   \n",
       "                    Yes                                  - (-)   \n",
       "diabetes            No                              100 (20.4)   \n",
       "                    Yes                                  - (-)   \n",
       "hypertension        No                              100 (20.4)   \n",
       "                    Yes                                  - (-)   \n",
       "learning_disability No                              100 (20.4)   \n",
       "                    Yes                                  - (-)   \n",
       "\n",
       "                                             White 5 PRIMIS:2021  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                       90 (18.2)   \n",
       "age_band            0-19                               15 (25.0)   \n",
       "                    20-29                              10 (15.4)   \n",
       "                    30-39                              15 (23.1)   \n",
       "                    40-49                              15 (27.3)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                              10 (14.3)   \n",
       "                    70-79                              15 (25.0)   \n",
       "                    80+                                10 (14.3)   \n",
       "sex                 F                                  50 (19.6)   \n",
       "                    M                                  40 (16.7)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                    10 (28.6)   \n",
       "                    London                             15 (18.8)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                         10 (33.3)   \n",
       "                    South East                             - (-)   \n",
       "                    West Midlands                      10 (28.6)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                    10 (10.5)   \n",
       "                    2                                  25 (29.4)   \n",
       "                    3                                  25 (20.8)   \n",
       "                    4                                  15 (15.0)   \n",
       "                    5 Least deprived                   15 (15.8)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                 90 (18.4)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                 90 (18.4)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                 90 (18.4)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                 90 (18.4)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Other 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                        45 (9.1)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                              10 (15.4)   \n",
       "                    30-39                                  - (-)   \n",
       "                    40-49                                  - (-)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                                  - (-)   \n",
       "                    70-79                                  - (-)   \n",
       "                    80+                                    - (-)   \n",
       "sex                 F                                   20 (7.8)   \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                                  10 (11.8)   \n",
       "                    3                                   10 (8.3)   \n",
       "                    4                                  10 (10.0)   \n",
       "                    5 Least deprived                       - (-)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                  40 (8.2)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                  45 (9.2)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                  45 (9.2)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                  40 (8.2)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Other 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                    100 (20.2)   \n",
       "age_band            0-19                             10 (16.7)   \n",
       "                    20-29                            15 (23.1)   \n",
       "                    30-39                            15 (23.1)   \n",
       "                    40-49                                - (-)   \n",
       "                    50-59                            10 (18.2)   \n",
       "                    60-69                            15 (21.4)   \n",
       "                    70-79                            15 (25.0)   \n",
       "                    80+                              10 (14.3)   \n",
       "sex                 F                                50 (19.6)   \n",
       "                    M                                45 (18.8)   \n",
       "region              East Midlands                    10 (50.0)   \n",
       "                    East of England                      - (-)   \n",
       "                    London                           15 (18.8)   \n",
       "                    North East                           - (-)   \n",
       "                    North West                           - (-)   \n",
       "                    South East                       10 (20.0)   \n",
       "                    West Midlands                        - (-)   \n",
       "                    Yorkshire and the Humber         10 (22.2)   \n",
       "imd                 1 Most deprived                  15 (15.8)   \n",
       "                    2                                20 (23.5)   \n",
       "                    3                                20 (16.7)   \n",
       "                    4                                25 (25.0)   \n",
       "                    5 Least deprived                 20 (21.1)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            No                               95 (19.4)   \n",
       "                    Yes                                  - (-)   \n",
       "diabetes            No                               95 (19.4)   \n",
       "                    Yes                                  - (-)   \n",
       "hypertension        No                               95 (19.4)   \n",
       "                    Yes                                  - (-)   \n",
       "learning_disability No                               95 (19.4)   \n",
       "                    Yes                                  - (-)   \n",
       "\n",
       "                                             Other 5 PRIMIS:2021  all filled  \\\n",
       "group               subgroup                                                   \n",
       "all                 with records                       95 (19.2)  280 (56.6)   \n",
       "age_band            0-19                               10 (16.7)   35 (58.3)   \n",
       "                    20-29                              20 (30.8)   35 (53.8)   \n",
       "                    30-39                              10 (15.4)   35 (53.8)   \n",
       "                    40-49                              15 (27.3)   30 (54.5)   \n",
       "                    50-59                                  - (-)   25 (45.5)   \n",
       "                    60-69                              10 (14.3)   40 (57.1)   \n",
       "                    70-79                              10 (16.7)   40 (66.7)   \n",
       "                    80+                                15 (21.4)   35 (50.0)   \n",
       "sex                 F                                  45 (17.6)  145 (56.9)   \n",
       "                    M                                  45 (18.8)  135 (56.2)   \n",
       "region              East Midlands                          - (-)   15 (75.0)   \n",
       "                    East of England                        - (-)   20 (57.1)   \n",
       "                    London                             10 (12.5)   45 (56.2)   \n",
       "                    North East                         10 (33.3)   15 (50.0)   \n",
       "                    North West                             - (-)   20 (66.7)   \n",
       "                    South East                         10 (20.0)   25 (50.0)   \n",
       "                    West Midlands                          - (-)   15 (42.9)   \n",
       "                    Yorkshire and the Humber           10 (22.2)   25 (55.6)   \n",
       "imd                 1 Most deprived                    20 (21.1)   45 (47.4)   \n",
       "                    2                                  15 (17.6)   50 (58.8)   \n",
       "                    3                                  15 (12.5)   70 (58.3)   \n",
       "                    4                                  20 (20.0)   55 (55.0)   \n",
       "                    5 Least deprived                   25 (26.3)   55 (57.9)   \n",
       "                    Unknown                                - (-)       - (-)   \n",
       "dementia            No                                 95 (19.4)  280 (57.1)   \n",
       "                    Yes                                    - (-)       - (-)   \n",
       "diabetes            No                                 95 (19.4)  275 (56.1)   \n",
       "                    Yes                                    - (-)       - (-)   \n",
       "hypertension        No                                 95 (19.4)  280 (57.1)   \n",
       "                    Yes                                    - (-)       - (-)   \n",
       "learning_disability No                                 95 (19.4)  275 (56.1)   \n",
       "                    Yes                                    - (-)       - (-)   \n",
       "\n",
       "                                             population  \n",
       "group               subgroup                             \n",
       "all                 with records                    495  \n",
       "age_band            0-19                             60  \n",
       "                    20-29                            65  \n",
       "                    30-39                            65  \n",
       "                    40-49                            55  \n",
       "                    50-59                            55  \n",
       "                    60-69                            70  \n",
       "                    70-79                            60  \n",
       "                    80+                              70  \n",
       "sex                 F                               255  \n",
       "                    M                               240  \n",
       "region              East Midlands                    20  \n",
       "                    East of England                  35  \n",
       "                    London                           80  \n",
       "                    North East                       30  \n",
       "                    North West                       30  \n",
       "                    South East                       50  \n",
       "                    West Midlands                    35  \n",
       "                    Yorkshire and the Humber         45  \n",
       "imd                 1 Most deprived                  95  \n",
       "                    2                                85  \n",
       "                    3                               120  \n",
       "                    4                               100  \n",
       "                    5 Least deprived                 95  \n",
       "                    Unknown                           -  \n",
       "dementia            No                              490  \n",
       "                    Yes                               -  \n",
       "diabetes            No                              490  \n",
       "                    Yes                               -  \n",
       "hypertension        No                              490  \n",
       "                    Yes                               -  \n",
       "learning_disability No                              490  \n",
       "                    Yes                               -  "
      ]
     },
     "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": "markdown",
   "metadata": {},
   "source": [
    "#### 16 Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 510,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Run quietly to obtain globals for Markdown\n",
    "local_patient_counts(\n",
    "         definitions_16,  output_path_16,code_dict_16, categories=True,missing=False,quietly=True\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 511,
   "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 SNOMED:2022 codelist is most well-populated  (35) and for `Any other ethnic group` the CTV3:2020 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 SNOMED:2022 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 CTV3:2020 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": "code",
   "execution_count": 512,
   "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>Indian 16 SNOMED:2022</th>\n",
       "      <th>Indian 16 CTV3:2020</th>\n",
       "      <th>Indian 16 PRIMIS:2021</th>\n",
       "      <th>Pakistani 16 SNOMED:2022</th>\n",
       "      <th>Pakistani 16 CTV3:2020</th>\n",
       "      <th>Pakistani 16 PRIMIS:2021</th>\n",
       "      <th>Bangladeshi 16 SNOMED:2022</th>\n",
       "      <th>Bangladeshi 16 CTV3:2020</th>\n",
       "      <th>Bangladeshi 16 PRIMIS:2021</th>\n",
       "      <th>Other Asian 16 SNOMED:2022</th>\n",
       "      <th>Other Asian 16 CTV3:2020</th>\n",
       "      <th>Other Asian 16 PRIMIS:2021</th>\n",
       "      <th>Caribbean 16 SNOMED:2022</th>\n",
       "      <th>Caribbean 16 CTV3:2020</th>\n",
       "      <th>Caribbean 16 PRIMIS:2021</th>\n",
       "      <th>African 16 SNOMED:2022</th>\n",
       "      <th>African 16 CTV3:2020</th>\n",
       "      <th>African 16 PRIMIS:2021</th>\n",
       "      <th>Other Black 16 SNOMED:2022</th>\n",
       "      <th>Other Black 16 CTV3:2020</th>\n",
       "      <th>Other Black 16 PRIMIS:2021</th>\n",
       "      <th>White and Black Caribbean 16 SNOMED:2022</th>\n",
       "      <th>White and Black Caribbean 16 CTV3:2020</th>\n",
       "      <th>White and Black Caribbean 16 PRIMIS:2021</th>\n",
       "      <th>White and Black African 16 SNOMED:2022</th>\n",
       "      <th>White and Black African 16 CTV3:2020</th>\n",
       "      <th>White and Black African 16 PRIMIS:2021</th>\n",
       "      <th>White and Asian 16 SNOMED:2022</th>\n",
       "      <th>White and Asian 16 CTV3:2020</th>\n",
       "      <th>White and Asian 16 PRIMIS:2021</th>\n",
       "      <th>Other Mixed 16 SNOMED:2022</th>\n",
       "      <th>Other Mixed 16 CTV3:2020</th>\n",
       "      <th>Other Mixed 16 PRIMIS:2021</th>\n",
       "      <th>White British 16 SNOMED:2022</th>\n",
       "      <th>White British 16 CTV3:2020</th>\n",
       "      <th>White British 16 PRIMIS:2021</th>\n",
       "      <th>White Irish 16 SNOMED:2022</th>\n",
       "      <th>White Irish 16 CTV3:2020</th>\n",
       "      <th>White Irish 16 PRIMIS:2021</th>\n",
       "      <th>Other White 16 SNOMED:2022</th>\n",
       "      <th>Other White 16 CTV3:2020</th>\n",
       "      <th>Other White 16 PRIMIS:2021</th>\n",
       "      <th>Chinese 16 SNOMED:2022</th>\n",
       "      <th>Chinese 16 CTV3:2020</th>\n",
       "      <th>Chinese 16 PRIMIS:2021</th>\n",
       "      <th>Any other ethnic group 16 SNOMED:2022</th>\n",
       "      <th>Any other ethnic group 16 CTV3:2020</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 (5.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>40 (8.2)</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>35 (7.1)</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>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>25 (5.1)</td>\n",
       "      <td>30 (6.1)</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>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>20 (4.1)</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>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>35 (7.1)</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>25 (5.1)</td>\n",
       "      <td>285 (58.2)</td>\n",
       "      <td>490</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 (63.6)</td>\n",
       "      <td>55</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>10 (15.4)</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>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</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 (15.4)</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>- (-)</td>\n",
       "      <td>- (-)</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 (53.8)</td>\n",
       "      <td>65</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>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>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</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>10 (20.0)</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>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</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 (70.0)</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60-69</th>\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>- (-)</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>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</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>10 (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>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (18.8)</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>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>45 (56.2)</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
       "      <th>F</th>\n",
       "      <td>10 (4.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>10 (4.0)</td>\n",
       "      <td>10 (4.0)</td>\n",
       "      <td>10 (4.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>10 (4.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>10 (4.0)</td>\n",
       "      <td>25 (10.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>10 (4.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>10 (4.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>10 (4.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>15 (6.0)</td>\n",
       "      <td>20 (8.0)</td>\n",
       "      <td>150 (60.0)</td>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>15 (6.2)</td>\n",
       "      <td>20 (8.3)</td>\n",
       "      <td>10 (4.2)</td>\n",
       "      <td>25 (10.4)</td>\n",
       "      <td>15 (6.2)</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>10 (4.2)</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>20 (8.3)</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>10 (4.2)</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>10 (4.2)</td>\n",
       "      <td>20 (8.3)</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>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>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>- (-)</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>10 (14.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>40 (57.1)</td>\n",
       "      <td>70</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 (50.0)</td>\n",
       "      <td>30</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>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</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>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 (66.7)</td>\n",
       "      <td>45</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>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>45 (56.2)</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\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>10 (11.1)</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>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>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>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>10 (11.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>45 (50.0)</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (13.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>15 (13.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (13.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>75 (65.2)</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>50 (47.6)</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 Least deprived</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>10 (9.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>65 (61.9)</td>\n",
       "      <td>105</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>No</th>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>40 (8.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>40 (8.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>20 (4.1)</td>\n",
       "      <td>40 (8.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>280 (57.7)</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</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>No</th>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>40 (8.2)</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>35 (7.1)</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>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>25 (5.1)</td>\n",
       "      <td>30 (6.1)</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>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>20 (4.1)</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>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>35 (7.1)</td>\n",
       "      <td>30 (6.1)</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 (57.1)</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</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>No</th>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>40 (8.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>40 (8.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>20 (4.1)</td>\n",
       "      <td>40 (8.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>35 (7.2)</td>\n",
       "      <td>30 (6.2)</td>\n",
       "      <td>25 (5.2)</td>\n",
       "      <td>280 (57.7)</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</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>No</th>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>35 (7.1)</td>\n",
       "      <td>30 (6.1)</td>\n",
       "      <td>40 (8.2)</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>35 (7.1)</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>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>25 (5.1)</td>\n",
       "      <td>30 (6.1)</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>25 (5.1)</td>\n",
       "      <td>25 (5.1)</td>\n",
       "      <td>20 (4.1)</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>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>35 (7.1)</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>25 (5.1)</td>\n",
       "      <td>280 (57.1)</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</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": [
       "                                             Indian 16 SNOMED:2022  \\\n",
       "group               subgroup                                         \n",
       "all                 with records                          25 (5.1)   \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 (4.0)   \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            No                                    25 (5.2)   \n",
       "                    Yes                                      - (-)   \n",
       "diabetes            No                                    25 (5.1)   \n",
       "                    Yes                                      - (-)   \n",
       "hypertension        No                                    25 (5.2)   \n",
       "                    Yes                                      - (-)   \n",
       "learning_disability No                                    25 (5.1)   \n",
       "                    Yes                                      - (-)   \n",
       "\n",
       "                                             Indian 16 CTV3:2020  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                        35 (7.1)   \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 (6.0)   \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 (13.0)   \n",
       "                    4                                      - (-)   \n",
       "                    5 Least deprived                       - (-)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                  35 (7.2)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                  35 (7.1)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                  35 (7.2)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                  35 (7.1)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Indian 16 PRIMIS:2021  \\\n",
       "group               subgroup                                         \n",
       "all                 with records                          30 (6.1)   \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 (8.0)   \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            No                                    30 (6.2)   \n",
       "                    Yes                                      - (-)   \n",
       "diabetes            No                                    30 (6.1)   \n",
       "                    Yes                                      - (-)   \n",
       "hypertension        No                                    30 (6.2)   \n",
       "                    Yes                                      - (-)   \n",
       "learning_disability No                                    30 (6.1)   \n",
       "                    Yes                                      - (-)   \n",
       "\n",
       "                                             Pakistani 16 SNOMED:2022  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             40 (8.2)   \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 (12.5)   \n",
       "sex                 F                                        15 (6.0)   \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 (11.1)   \n",
       "                    3                                        10 (8.7)   \n",
       "                    4                                        10 (9.5)   \n",
       "                    5 Least deprived                         10 (9.5)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       40 (8.2)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       40 (8.2)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       40 (8.2)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       40 (8.2)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Pakistani 16 CTV3:2020  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           35 (7.1)   \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 (8.0)   \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 (8.7)   \n",
       "                    4                                      10 (9.5)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            No                                     35 (7.2)   \n",
       "                    Yes                                       - (-)   \n",
       "diabetes            No                                     35 (7.1)   \n",
       "                    Yes                                       - (-)   \n",
       "hypertension        No                                     35 (7.2)   \n",
       "                    Yes                                       - (-)   \n",
       "learning_disability No                                     35 (7.1)   \n",
       "                    Yes                                       - (-)   \n",
       "\n",
       "                                             Pakistani 16 PRIMIS:2021  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             35 (7.1)   \n",
       "age_band            0-19                                        - (-)   \n",
       "                    20-29                                   10 (15.4)   \n",
       "                    30-39                                       - (-)   \n",
       "                    40-49                                       - (-)   \n",
       "                    50-59                                       - (-)   \n",
       "                    60-69                                       - (-)   \n",
       "                    70-79                                       - (-)   \n",
       "                    80+                                         - (-)   \n",
       "sex                 F                                        15 (6.0)   \n",
       "                    M                                        20 (8.3)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                  10 (14.3)   \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 (13.0)   \n",
       "                    4                                        10 (9.5)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       35 (7.2)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       35 (7.1)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       35 (7.2)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       35 (7.1)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Bangladeshi 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               25 (5.1)   \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 (4.0)   \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            No                                         25 (5.2)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         25 (5.1)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         25 (5.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         25 (5.1)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Bangladeshi 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             25 (5.1)   \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 (4.0)   \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 (9.5)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       25 (5.2)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       25 (5.1)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       25 (5.2)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       25 (5.1)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Bangladeshi 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               35 (7.1)   \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 (4.0)   \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 (12.5)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                           10 (9.5)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         35 (7.2)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         35 (7.1)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         35 (7.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         35 (7.1)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Other Asian 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (6.1)   \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 (6.0)   \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 (9.5)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         30 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         30 (6.1)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         30 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         30 (6.1)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Other Asian 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             30 (6.1)   \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 (6.0)   \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 (9.5)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       30 (6.2)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       30 (6.1)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       25 (5.2)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       30 (6.1)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Other Asian 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (6.1)   \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 (8.0)   \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 (12.5)   \n",
       "                    2                                         10 (11.1)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                           10 (9.5)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         30 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         30 (6.1)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         30 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         30 (6.1)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Caribbean 16 SNOMED:2022  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             35 (7.1)   \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 (8.0)   \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 (8.7)   \n",
       "                    4                                        10 (9.5)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       35 (7.2)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       35 (7.1)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       35 (7.2)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       35 (7.1)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Caribbean 16 CTV3:2020  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           30 (6.1)   \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 (6.0)   \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 (12.5)   \n",
       "                    2                                         - (-)   \n",
       "                    3                                         - (-)   \n",
       "                    4                                      10 (9.5)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            No                                     30 (6.2)   \n",
       "                    Yes                                       - (-)   \n",
       "diabetes            No                                     30 (6.1)   \n",
       "                    Yes                                       - (-)   \n",
       "hypertension        No                                     30 (6.2)   \n",
       "                    Yes                                       - (-)   \n",
       "learning_disability No                                     30 (6.1)   \n",
       "                    Yes                                       - (-)   \n",
       "\n",
       "                                             Caribbean 16 PRIMIS:2021  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             35 (7.1)   \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 (6.0)   \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 (8.7)   \n",
       "                    4                                        10 (9.5)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       30 (6.2)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       35 (7.1)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       35 (7.2)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       35 (7.1)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             African 16 SNOMED:2022  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           35 (7.1)   \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 (6.0)   \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 (12.5)   \n",
       "                    2                                         - (-)   \n",
       "                    3                                      10 (8.7)   \n",
       "                    4                                      10 (9.5)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            No                                     35 (7.2)   \n",
       "                    Yes                                       - (-)   \n",
       "diabetes            No                                     35 (7.1)   \n",
       "                    Yes                                       - (-)   \n",
       "hypertension        No                                     35 (7.2)   \n",
       "                    Yes                                       - (-)   \n",
       "learning_disability No                                     35 (7.1)   \n",
       "                    Yes                                       - (-)   \n",
       "\n",
       "                                             African 16 CTV3:2020  \\\n",
       "group               subgroup                                        \n",
       "all                 with records                         35 (7.1)   \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 (8.0)   \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 (12.5)   \n",
       "                    2                                       - (-)   \n",
       "                    3                                       - (-)   \n",
       "                    4                                    10 (9.5)   \n",
       "                    5 Least deprived                     10 (9.5)   \n",
       "                    Unknown                                 - (-)   \n",
       "dementia            No                                   35 (7.2)   \n",
       "                    Yes                                     - (-)   \n",
       "diabetes            No                                   35 (7.1)   \n",
       "                    Yes                                     - (-)   \n",
       "hypertension        No                                   35 (7.2)   \n",
       "                    Yes                                     - (-)   \n",
       "learning_disability No                                   35 (7.1)   \n",
       "                    Yes                                     - (-)   \n",
       "\n",
       "                                             African 16 PRIMIS:2021  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           40 (8.2)   \n",
       "age_band            0-19                                      - (-)   \n",
       "                    20-29                                     - (-)   \n",
       "                    30-39                                 10 (16.7)   \n",
       "                    40-49                                     - (-)   \n",
       "                    50-59                                 10 (20.0)   \n",
       "                    60-69                                     - (-)   \n",
       "                    70-79                                     - (-)   \n",
       "                    80+                                   10 (12.5)   \n",
       "sex                 F                                      15 (6.0)   \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 (12.5)   \n",
       "                    2                                     10 (11.1)   \n",
       "                    3                                         - (-)   \n",
       "                    4                                      10 (9.5)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            No                                     40 (8.2)   \n",
       "                    Yes                                       - (-)   \n",
       "diabetes            No                                     40 (8.2)   \n",
       "                    Yes                                       - (-)   \n",
       "hypertension        No                                     40 (8.2)   \n",
       "                    Yes                                       - (-)   \n",
       "learning_disability No                                     40 (8.2)   \n",
       "                    Yes                                       - (-)   \n",
       "\n",
       "                                             Other Black 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (6.1)   \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 (6.0)   \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            No                                         30 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         30 (6.1)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         30 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         30 (6.1)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Other Black 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             30 (6.1)   \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 (6.0)   \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 (11.1)   \n",
       "                    3                                        10 (8.7)   \n",
       "                    4                                           - (-)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       30 (6.2)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       30 (6.1)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       30 (6.2)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       30 (6.1)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Other Black 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               25 (5.1)   \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 (6.0)   \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            No                                         25 (5.2)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         25 (5.1)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         25 (5.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         25 (5.1)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             White and Black Caribbean 16 SNOMED:2022  \\\n",
       "group               subgroup                                                            \n",
       "all                 with records                                             25 (5.1)   \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 (4.0)   \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 (9.5)   \n",
       "                    Unknown                                                     - (-)   \n",
       "dementia            No                                                       25 (5.2)   \n",
       "                    Yes                                                         - (-)   \n",
       "diabetes            No                                                       25 (5.1)   \n",
       "                    Yes                                                         - (-)   \n",
       "hypertension        No                                                       25 (5.2)   \n",
       "                    Yes                                                         - (-)   \n",
       "learning_disability No                                                       25 (5.1)   \n",
       "                    Yes                                                         - (-)   \n",
       "\n",
       "                                             White and Black Caribbean 16 CTV3:2020  \\\n",
       "group               subgroup                                                          \n",
       "all                 with records                                           30 (6.1)   \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 (8.0)   \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 (8.7)   \n",
       "                    4                                                         - (-)   \n",
       "                    5 Least deprived                                          - (-)   \n",
       "                    Unknown                                                   - (-)   \n",
       "dementia            No                                                     30 (6.2)   \n",
       "                    Yes                                                       - (-)   \n",
       "diabetes            No                                                     30 (6.1)   \n",
       "                    Yes                                                       - (-)   \n",
       "hypertension        No                                                     30 (6.2)   \n",
       "                    Yes                                                       - (-)   \n",
       "learning_disability No                                                     30 (6.1)   \n",
       "                    Yes                                                       - (-)   \n",
       "\n",
       "                                             White and Black Caribbean 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                            \n",
       "all                 with records                                             25 (5.1)   \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 (4.0)   \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            No                                                       25 (5.2)   \n",
       "                    Yes                                                         - (-)   \n",
       "diabetes            No                                                       25 (5.1)   \n",
       "                    Yes                                                         - (-)   \n",
       "hypertension        No                                                       25 (5.2)   \n",
       "                    Yes                                                         - (-)   \n",
       "learning_disability No                                                       25 (5.1)   \n",
       "                    Yes                                                         - (-)   \n",
       "\n",
       "                                             White and Black African 16 SNOMED:2022  \\\n",
       "group               subgroup                                                          \n",
       "all                 with records                                           35 (7.1)   \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 (18.8)   \n",
       "sex                 F                                                     25 (10.0)   \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 (12.5)   \n",
       "                    2                                                         - (-)   \n",
       "                    3                                                         - (-)   \n",
       "                    4                                                         - (-)   \n",
       "                    5 Least deprived                                       10 (9.5)   \n",
       "                    Unknown                                                   - (-)   \n",
       "dementia            No                                                     35 (7.2)   \n",
       "                    Yes                                                       - (-)   \n",
       "diabetes            No                                                     35 (7.1)   \n",
       "                    Yes                                                       - (-)   \n",
       "hypertension        No                                                     35 (7.2)   \n",
       "                    Yes                                                       - (-)   \n",
       "learning_disability No                                                     35 (7.1)   \n",
       "                    Yes                                                       - (-)   \n",
       "\n",
       "                                             White and Black African 16 CTV3:2020  \\\n",
       "group               subgroup                                                        \n",
       "all                 with records                                         30 (6.1)   \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 (8.0)   \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 (9.5)   \n",
       "                    Unknown                                                 - (-)   \n",
       "dementia            No                                                   30 (6.2)   \n",
       "                    Yes                                                     - (-)   \n",
       "diabetes            No                                                   30 (6.1)   \n",
       "                    Yes                                                     - (-)   \n",
       "hypertension        No                                                   30 (6.2)   \n",
       "                    Yes                                                     - (-)   \n",
       "learning_disability No                                                   30 (6.1)   \n",
       "                    Yes                                                     - (-)   \n",
       "\n",
       "                                             White and Black African 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                          \n",
       "all                 with records                                           30 (6.1)   \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 (6.0)   \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 (9.5)   \n",
       "                    Unknown                                                   - (-)   \n",
       "dementia            No                                                     30 (6.2)   \n",
       "                    Yes                                                       - (-)   \n",
       "diabetes            No                                                     30 (6.1)   \n",
       "                    Yes                                                       - (-)   \n",
       "hypertension        No                                                     30 (6.2)   \n",
       "                    Yes                                                       - (-)   \n",
       "learning_disability No                                                     30 (6.1)   \n",
       "                    Yes                                                       - (-)   \n",
       "\n",
       "                                             White and Asian 16 SNOMED:2022  \\\n",
       "group               subgroup                                                  \n",
       "all                 with records                                   30 (6.1)   \n",
       "age_band            0-19                                              - (-)   \n",
       "                    20-29                                         10 (15.4)   \n",
       "                    30-39                                             - (-)   \n",
       "                    40-49                                             - (-)   \n",
       "                    50-59                                             - (-)   \n",
       "                    60-69                                             - (-)   \n",
       "                    70-79                                             - (-)   \n",
       "                    80+                                               - (-)   \n",
       "sex                 F                                              15 (6.0)   \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 (8.7)   \n",
       "                    4                                              10 (9.5)   \n",
       "                    5 Least deprived                                  - (-)   \n",
       "                    Unknown                                           - (-)   \n",
       "dementia            No                                             30 (6.2)   \n",
       "                    Yes                                               - (-)   \n",
       "diabetes            No                                             30 (6.1)   \n",
       "                    Yes                                               - (-)   \n",
       "hypertension        No                                             30 (6.2)   \n",
       "                    Yes                                               - (-)   \n",
       "learning_disability No                                             30 (6.1)   \n",
       "                    Yes                                               - (-)   \n",
       "\n",
       "                                             White and Asian 16 CTV3:2020  \\\n",
       "group               subgroup                                                \n",
       "all                 with records                                 25 (5.1)   \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 (6.0)   \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 (11.1)   \n",
       "                    3                                               - (-)   \n",
       "                    4                                               - (-)   \n",
       "                    5 Least deprived                                - (-)   \n",
       "                    Unknown                                         - (-)   \n",
       "dementia            No                                           25 (5.2)   \n",
       "                    Yes                                             - (-)   \n",
       "diabetes            No                                           25 (5.1)   \n",
       "                    Yes                                             - (-)   \n",
       "hypertension        No                                           25 (5.2)   \n",
       "                    Yes                                             - (-)   \n",
       "learning_disability No                                           25 (5.1)   \n",
       "                    Yes                                             - (-)   \n",
       "\n",
       "                                             White and Asian 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                  \n",
       "all                 with records                                   25 (5.1)   \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 (6.0)   \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 (9.5)   \n",
       "                    5 Least deprived                                  - (-)   \n",
       "                    Unknown                                           - (-)   \n",
       "dementia            No                                             25 (5.2)   \n",
       "                    Yes                                               - (-)   \n",
       "diabetes            No                                             25 (5.1)   \n",
       "                    Yes                                               - (-)   \n",
       "hypertension        No                                             25 (5.2)   \n",
       "                    Yes                                               - (-)   \n",
       "learning_disability No                                             25 (5.1)   \n",
       "                    Yes                                               - (-)   \n",
       "\n",
       "                                             Other Mixed 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               20 (4.1)   \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 (4.0)   \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            No                                         20 (4.1)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         20 (4.1)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         20 (4.1)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         20 (4.1)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Other Mixed 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             40 (8.2)   \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 (8.0)   \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 (12.5)   \n",
       "                    2                                           - (-)   \n",
       "                    3                                        10 (8.7)   \n",
       "                    4                                        10 (9.5)   \n",
       "                    5 Least deprived                         10 (9.5)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       40 (8.2)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       40 (8.2)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       40 (8.2)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       40 (8.2)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Other Mixed 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (6.1)   \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 (6.0)   \n",
       "                    M                                          15 (6.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                    10 (14.3)   \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 (11.1)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         30 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         30 (6.1)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         30 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         30 (6.1)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             White British 16 SNOMED:2022  \\\n",
       "group               subgroup                                                \n",
       "all                 with records                                 30 (6.1)   \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 (6.0)   \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 (8.7)   \n",
       "                    4                                            10 (9.5)   \n",
       "                    5 Least deprived                                - (-)   \n",
       "                    Unknown                                         - (-)   \n",
       "dementia            No                                           30 (6.2)   \n",
       "                    Yes                                             - (-)   \n",
       "diabetes            No                                           30 (6.1)   \n",
       "                    Yes                                             - (-)   \n",
       "hypertension        No                                           30 (6.2)   \n",
       "                    Yes                                             - (-)   \n",
       "learning_disability No                                           30 (6.1)   \n",
       "                    Yes                                             - (-)   \n",
       "\n",
       "                                             White British 16 CTV3:2020  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               25 (5.1)   \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 (4.0)   \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 (9.5)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         25 (5.2)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         25 (5.1)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         25 (5.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         25 (5.1)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             White British 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                \n",
       "all                 with records                                 35 (7.1)   \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 (8.0)   \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 (8.7)   \n",
       "                    4                                               - (-)   \n",
       "                    5 Least deprived                             10 (9.5)   \n",
       "                    Unknown                                         - (-)   \n",
       "dementia            No                                           35 (7.2)   \n",
       "                    Yes                                             - (-)   \n",
       "diabetes            No                                           35 (7.1)   \n",
       "                    Yes                                             - (-)   \n",
       "hypertension        No                                           35 (7.2)   \n",
       "                    Yes                                             - (-)   \n",
       "learning_disability No                                           35 (7.1)   \n",
       "                    Yes                                             - (-)   \n",
       "\n",
       "                                             White Irish 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               35 (7.1)   \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 (8.0)   \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 (12.5)   \n",
       "                    2                                         10 (11.1)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         35 (7.2)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         35 (7.1)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         35 (7.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         35 (7.1)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             White Irish 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             35 (7.1)   \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 (8.0)   \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 (13.0)   \n",
       "                    4                                           - (-)   \n",
       "                    5 Least deprived                         10 (9.5)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       35 (7.2)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       35 (7.1)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       35 (7.2)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       35 (7.1)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             White Irish 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (6.1)   \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 (8.0)   \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 (9.5)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         30 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         30 (6.1)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         25 (5.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         30 (6.1)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Other White 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               25 (5.1)   \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 (4.0)   \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 (9.5)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         25 (5.2)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         25 (5.1)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         25 (5.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         25 (5.1)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Other White 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             25 (5.1)   \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 (6.0)   \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 (8.7)   \n",
       "                    4                                           - (-)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       25 (5.2)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       25 (5.1)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       25 (5.2)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       25 (5.1)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Other White 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (6.1)   \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 (6.0)   \n",
       "                    M                                          15 (6.2)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                    10 (14.3)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                           10 (12.5)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                          10 (8.7)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         30 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         30 (6.1)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         30 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         30 (6.1)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Chinese 16 SNOMED:2022  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           35 (7.1)   \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 (12.5)   \n",
       "sex                 F                                      20 (8.0)   \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 (8.7)   \n",
       "                    4                                         - (-)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            No                                     35 (7.2)   \n",
       "                    Yes                                       - (-)   \n",
       "diabetes            No                                     35 (7.1)   \n",
       "                    Yes                                       - (-)   \n",
       "hypertension        No                                     35 (7.2)   \n",
       "                    Yes                                       - (-)   \n",
       "learning_disability No                                     35 (7.1)   \n",
       "                    Yes                                       - (-)   \n",
       "\n",
       "                                             Chinese 16 CTV3:2020  \\\n",
       "group               subgroup                                        \n",
       "all                 with records                         30 (6.1)   \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 (6.0)   \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 (12.5)   \n",
       "                    2                                       - (-)   \n",
       "                    3                                       - (-)   \n",
       "                    4                                       - (-)   \n",
       "                    5 Least deprived                        - (-)   \n",
       "                    Unknown                                 - (-)   \n",
       "dementia            No                                   30 (6.2)   \n",
       "                    Yes                                     - (-)   \n",
       "diabetes            No                                   30 (6.1)   \n",
       "                    Yes                                     - (-)   \n",
       "hypertension        No                                   30 (6.2)   \n",
       "                    Yes                                     - (-)   \n",
       "learning_disability No                                   30 (6.1)   \n",
       "                    Yes                                     - (-)   \n",
       "\n",
       "                                             Chinese 16 PRIMIS:2021  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           35 (7.1)   \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 (6.0)   \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 (11.1)   \n",
       "                    3                                      10 (8.7)   \n",
       "                    4                                         - (-)   \n",
       "                    5 Least deprived                       10 (9.5)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            No                                     35 (7.2)   \n",
       "                    Yes                                       - (-)   \n",
       "diabetes            No                                     35 (7.1)   \n",
       "                    Yes                                       - (-)   \n",
       "hypertension        No                                     35 (7.2)   \n",
       "                    Yes                                       - (-)   \n",
       "learning_disability No                                     35 (7.1)   \n",
       "                    Yes                                       - (-)   \n",
       "\n",
       "                                             Any other ethnic group 16 SNOMED:2022  \\\n",
       "group               subgroup                                                         \n",
       "all                 with records                                          35 (7.1)   \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 (8.0)   \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 (9.5)   \n",
       "                    5 Least deprived                                      10 (9.5)   \n",
       "                    Unknown                                                  - (-)   \n",
       "dementia            No                                                    30 (6.2)   \n",
       "                    Yes                                                      - (-)   \n",
       "diabetes            No                                                    30 (6.1)   \n",
       "                    Yes                                                      - (-)   \n",
       "hypertension        No                                                    35 (7.2)   \n",
       "                    Yes                                                      - (-)   \n",
       "learning_disability No                                                    35 (7.1)   \n",
       "                    Yes                                                      - (-)   \n",
       "\n",
       "                                             Any other ethnic group 16 CTV3:2020  \\\n",
       "group               subgroup                                                       \n",
       "all                 with records                                        30 (6.1)   \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 (6.0)   \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 (11.1)   \n",
       "                    3                                                      - (-)   \n",
       "                    4                                                      - (-)   \n",
       "                    5 Least deprived                                       - (-)   \n",
       "                    Unknown                                                - (-)   \n",
       "dementia            No                                                  25 (5.2)   \n",
       "                    Yes                                                    - (-)   \n",
       "diabetes            No                                                  30 (6.1)   \n",
       "                    Yes                                                    - (-)   \n",
       "hypertension        No                                                  30 (6.2)   \n",
       "                    Yes                                                    - (-)   \n",
       "learning_disability No                                                  25 (5.1)   \n",
       "                    Yes                                                    - (-)   \n",
       "\n",
       "                                             Any other ethnic group 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                         \n",
       "all                 with records                                          25 (5.1)   \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 (8.0)   \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            No                                                    25 (5.2)   \n",
       "                    Yes                                                      - (-)   \n",
       "diabetes            No                                                    25 (5.1)   \n",
       "                    Yes                                                      - (-)   \n",
       "hypertension        No                                                    25 (5.2)   \n",
       "                    Yes                                                      - (-)   \n",
       "learning_disability No                                                    25 (5.1)   \n",
       "                    Yes                                                      - (-)   \n",
       "\n",
       "                                              all filled population  \n",
       "group               subgroup                                         \n",
       "all                 with records              285 (58.2)        490  \n",
       "age_band            0-19                       35 (63.6)         55  \n",
       "                    20-29                      35 (53.8)         65  \n",
       "                    30-39                      30 (50.0)         60  \n",
       "                    40-49                      30 (54.5)         55  \n",
       "                    50-59                      35 (70.0)         50  \n",
       "                    60-69                      45 (64.3)         70  \n",
       "                    70-79                      30 (50.0)         60  \n",
       "                    80+                        45 (56.2)         80  \n",
       "sex                 F                         150 (60.0)        250  \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 (57.1)         70  \n",
       "                    North East                 15 (50.0)         30  \n",
       "                    North West                 15 (50.0)         30  \n",
       "                    South East                 25 (55.6)         45  \n",
       "                    West Midlands              20 (57.1)         35  \n",
       "                    Yorkshire and the Humber   30 (66.7)         45  \n",
       "imd                 1 Most deprived            45 (56.2)         80  \n",
       "                    2                          45 (50.0)         90  \n",
       "                    3                          75 (65.2)        115  \n",
       "                    4                          50 (47.6)        105  \n",
       "                    5 Least deprived           65 (61.9)        105  \n",
       "                    Unknown                        - (-)          -  \n",
       "dementia            No                        280 (57.7)        485  \n",
       "                    Yes                            - (-)          -  \n",
       "diabetes            No                        280 (57.1)        490  \n",
       "                    Yes                            - (-)          -  \n",
       "hypertension        No                        280 (57.7)        485  \n",
       "                    Yes                            - (-)          -  \n",
       "learning_disability No                        280 (57.1)        490  \n",
       "                    Yes                            - (-)          -  "
      ]
     },
     "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": "markdown",
   "metadata": {},
   "source": [
    "### Changes in coded ethnicity groups"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5 Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 513,
   "metadata": {},
   "outputs": [],
   "source": [
    "for definition in definitions_5:\n",
    "        lowerlist_5 = [x.lower() for x in (list(code_dict_5[definition].values()))]\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.replace(\"nan (nan)\", \"- (-)\")\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.rename(columns={f'{definition_dict[definition]}':f'Latest Ethnicity-\\n{definition_dict[definition]}'}, inplace=True)\n",
    "        df_state_change = df_state_change.set_index(f'Latest Ethnicity-\\n{definition_dict[definition]}')\n",
    "        # display(df_state_change)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 514,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "Patients whose latest recorded ethnicity were grouped as `Mixed` were most likely to have a discordant ethnicity recording (50% SNOMED:2022, 67% CTV3:2020, 73% PRIMIS:2021). All three codelists had patients with latest recorded ethnicity grouped as `Black` who also had a recorded ethnicity of `White` (12% SNOMED:2022, 10% CTV3:2020, 11% PRIMIS:2021). \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 ({'{:,.0f}'.format(df_sc_pct_ethnicity_new_5[\"any_pct\"][1])}% SNOMED:2022, {'{:,.0f}'.format(df_sc_pct_ethnicity_5[\"any_pct\"][1])}% CTV3:2020, {'{:,.0f}'.format(df_sc_pct_ethnicity_primis_5[\"any_pct\"][1])}% PRIMIS:2021). All three codelists had patients with latest recorded ethnicity grouped as `Black` who also had a recorded ethnicity of `White` ({'{:,.0f}'.format(df_sc_pct_ethnicity_new_5[\"white_pct\"][3])}% SNOMED:2022, {'{:,.0f}'.format(df_sc_pct_ethnicity_5[\"white_pct\"][3])}% CTV3:2020, {'{:,.0f}'.format(df_sc_pct_ethnicity_primis_5[\"white_pct\"][3])}% PRIMIS:2021). \n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 515,
   "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>asian</th>\n",
       "      <th>black</th>\n",
       "      <th>mixed</th>\n",
       "      <th>white</th>\n",
       "      <th>other</th>\n",
       "      <th>any</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "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>Asian: 55</th>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>35 (63.6)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black: 50</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (50.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed: 45</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>35 (77.8)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White: 300</th>\n",
       "      <td>30 (10.0)</td>\n",
       "      <td>35 (11.7)</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>Other: 45</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>35 (77.8)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      asian      black      mixed      white  \\\n",
       "Latest Ethnicity-\\n5 SNOMED:2022                                               \n",
       "Asian: 55                         10 (18.2)      - (-)  10 (18.2)      - (-)   \n",
       "Black: 50                             - (-)      - (-)  10 (20.0)      - (-)   \n",
       "Mixed: 45                             - (-)      - (-)      - (-)      - (-)   \n",
       "White: 300                        30 (10.0)  35 (11.7)  30 (10.0)  35 (11.7)   \n",
       "Other: 45                             - (-)      - (-)      - (-)      - (-)   \n",
       "\n",
       "                                      other         any  \n",
       "Latest Ethnicity-\\n5 SNOMED:2022                         \n",
       "Asian: 55                             - (-)   35 (63.6)  \n",
       "Black: 50                             - (-)   25 (50.0)  \n",
       "Mixed: 45                             - (-)   35 (77.8)  \n",
       "White: 300                        30 (10.0)  210 (70.0)  \n",
       "Other: 45                             - (-)   35 (77.8)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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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>asian</th>\n",
       "      <th>black</th>\n",
       "      <th>mixed</th>\n",
       "      <th>white</th>\n",
       "      <th>other</th>\n",
       "      <th>any</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "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>Asian: 95</th>\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>70 (73.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black: 90</th>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>60 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed: 95</th>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>70 (73.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White: 100</th>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>- (-)</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>Other: 100</th>\n",
       "      <td>15 (15.0)</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>70 (70.0)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    asian      black      mixed      white  \\\n",
       "Latest Ethnicity-\\n5 CTV3:2020                                               \n",
       "Asian: 95                           - (-)  10 (10.5)  10 (10.5)  10 (10.5)   \n",
       "Black: 90                       10 (11.1)  10 (11.1)      - (-)      - (-)   \n",
       "Mixed: 95                       10 (10.5)      - (-)      - (-)  10 (10.5)   \n",
       "White: 100                      10 (10.0)  10 (10.0)      - (-)  10 (10.0)   \n",
       "Other: 100                      15 (15.0)  10 (10.0)  10 (10.0)  10 (10.0)   \n",
       "\n",
       "                                    other        any  \n",
       "Latest Ethnicity-\\n5 CTV3:2020                        \n",
       "Asian: 95                           - (-)  70 (73.7)  \n",
       "Black: 90                           - (-)  60 (66.7)  \n",
       "Mixed: 95                           - (-)  70 (73.7)  \n",
       "White: 100                      10 (10.0)  70 (70.0)  \n",
       "Other: 100                      10 (10.0)  70 (70.0)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>asian</th>\n",
       "      <th>black</th>\n",
       "      <th>mixed</th>\n",
       "      <th>white</th>\n",
       "      <th>other</th>\n",
       "      <th>any</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "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>Asian: 110</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>15 (13.6)</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>15 (13.6)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>80 (72.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed: 80</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>60 (75.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White: 90</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>- (-)</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>Other: 95</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>65 (68.4)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      asian      black      mixed      white  \\\n",
       "Latest Ethnicity-\\n5 PRIMIS:2021                                               \n",
       "Asian: 110                            - (-)   10 (9.1)  15 (13.6)   10 (9.1)   \n",
       "Black: 110                        15 (13.6)   10 (9.1)   10 (9.1)      - (-)   \n",
       "Mixed: 80                             - (-)      - (-)      - (-)      - (-)   \n",
       "White: 90                             - (-)  10 (11.1)      - (-)  10 (11.1)   \n",
       "Other: 95                             - (-)  10 (10.5)  10 (10.5)      - (-)   \n",
       "\n",
       "                                      other        any  \n",
       "Latest Ethnicity-\\n5 PRIMIS:2021                        \n",
       "Asian: 110                        15 (13.6)  70 (63.6)  \n",
       "Black: 110                         10 (9.1)  80 (72.7)  \n",
       "Mixed: 80                             - (-)  60 (75.0)  \n",
       "White: 90                         15 (16.7)  70 (77.8)  \n",
       "Other: 95                         10 (10.5)  65 (68.4)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for definition in definitions_5:\n",
    "        lowerlist_5 = [x.lower() for x in (list(code_dict_5[definition].values()))]\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.replace(\"nan (nan)\", \"- (-)\")\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.rename(columns={f'{definition_dict[definition]}':f'Latest Ethnicity-\\n{definition_dict[definition]}'}, inplace=True)\n",
    "        df_state_change = df_state_change.set_index(f'Latest Ethnicity-\\n{definition_dict[definition]}')\n",
    "        display(df_state_change)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 16 Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 516,
   "metadata": {},
   "outputs": [],
   "source": [
    "for definition in definitions_16:\n",
    "        lowerlist_16 = [x.lower() for x in (list(code_dict_16[definition].values()))]\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.replace(\"nan (nan)\", \"- (-)\")\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.rename(columns={f'{definition_dict[definition]}':f'Latest Ethnicity-\\n{definition_dict[definition]}'}, inplace=True)\n",
    "        df_state_change = df_state_change.set_index(f'Latest Ethnicity-\\n{definition_dict[definition]}')\n",
    "        df_state_change.columns = df_state_change.columns.str.replace(\"_\", \" \")\n",
    "        # display(df_state_change)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 517,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "Patients whose latest recorded ethnicity were grouped as `Other Black` were most likely to have a discordant ethnicity recording (80% SNOMED:2022, 60% CTV3:2020, 67% PRIMIS:2021).\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 `Other Black` were most likely to have a discordant ethnicity recording ({'{:,.0f}'.format(df_sc_pct_ethnicity_new_16[\"any_pct\"][13])}% SNOMED:2022, {'{:,.0f}'.format(df_sc_pct_ethnicity_16[\"any_pct\"][13])}% CTV3:2020, {'{:,.0f}'.format(df_sc_pct_ethnicity_primis_16[\"any_pct\"][13])}% PRIMIS:2021).\n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 518,
   "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>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>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>white british</th>\n",
       "      <th>white irish</th>\n",
       "      <th>other white</th>\n",
       "      <th>chinese</th>\n",
       "      <th>any other ethnic group</th>\n",
       "      <th>any</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "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>Indian: 25</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>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistani: 40</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>25 (62.5)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladeshi: 25</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>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Asian: 30</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>15 (50.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean: 35</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>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>African: 35</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>20 (57.1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Black: 30</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>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_Caribbean: 25</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>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_African: 35</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>20 (57.1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Asian: 30</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>15 (50.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Mixed: 20</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>15 (75.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_British: 30</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>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_Irish: 35</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>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_White: 25</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>20 (80.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese: 35</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>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Any_other_ethnic_group: 35</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>25 (71.4)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  indian pakistani bangladeshi other asian  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                            \n",
       "Indian: 25                         - (-)     - (-)       - (-)       - (-)   \n",
       "Pakistani: 40                      - (-)     - (-)       - (-)       - (-)   \n",
       "Bangladeshi: 25                    - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Asian: 30                    - (-)     - (-)       - (-)       - (-)   \n",
       "Caribbean: 35                      - (-)     - (-)       - (-)       - (-)   \n",
       "African: 35                        - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Black: 30                    - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 25      - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_African: 35        - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Asian: 30                - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Mixed: 20                    - (-)     - (-)       - (-)       - (-)   \n",
       "White_British: 30                  - (-)     - (-)       - (-)       - (-)   \n",
       "White_Irish: 35                    - (-)     - (-)       - (-)       - (-)   \n",
       "Other_White: 25                    - (-)     - (-)       - (-)       - (-)   \n",
       "Chinese: 35                        - (-)     - (-)       - (-)       - (-)   \n",
       "Any_other_ethnic_group: 35         - (-)     - (-)       - (-)       - (-)   \n",
       "\n",
       "                                  caribbean african other black  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                 \n",
       "Indian: 25                            - (-)   - (-)       - (-)   \n",
       "Pakistani: 40                         - (-)   - (-)       - (-)   \n",
       "Bangladeshi: 25                       - (-)   - (-)       - (-)   \n",
       "Other_Asian: 30                       - (-)   - (-)       - (-)   \n",
       "Caribbean: 35                         - (-)   - (-)       - (-)   \n",
       "African: 35                           - (-)   - (-)       - (-)   \n",
       "Other_Black: 30                       - (-)   - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 25         - (-)   - (-)       - (-)   \n",
       "White_and_Black_African: 35           - (-)   - (-)       - (-)   \n",
       "White_and_Asian: 30                   - (-)   - (-)       - (-)   \n",
       "Other_Mixed: 20                       - (-)   - (-)       - (-)   \n",
       "White_British: 30                     - (-)   - (-)       - (-)   \n",
       "White_Irish: 35                       - (-)   - (-)       - (-)   \n",
       "Other_White: 25                       - (-)   - (-)       - (-)   \n",
       "Chinese: 35                           - (-)   - (-)       - (-)   \n",
       "Any_other_ethnic_group: 35            - (-)   - (-)       - (-)   \n",
       "\n",
       "                                  white and black caribbean  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                             \n",
       "Indian: 25                                            - (-)   \n",
       "Pakistani: 40                                         - (-)   \n",
       "Bangladeshi: 25                                       - (-)   \n",
       "Other_Asian: 30                                       - (-)   \n",
       "Caribbean: 35                                         - (-)   \n",
       "African: 35                                           - (-)   \n",
       "Other_Black: 30                                       - (-)   \n",
       "White_and_Black_Caribbean: 25                         - (-)   \n",
       "White_and_Black_African: 35                           - (-)   \n",
       "White_and_Asian: 30                                   - (-)   \n",
       "Other_Mixed: 20                                       - (-)   \n",
       "White_British: 30                                     - (-)   \n",
       "White_Irish: 35                                       - (-)   \n",
       "Other_White: 25                                       - (-)   \n",
       "Chinese: 35                                           - (-)   \n",
       "Any_other_ethnic_group: 35                            - (-)   \n",
       "\n",
       "                                  white and black african white and asian  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                           \n",
       "Indian: 25                                          - (-)           - (-)   \n",
       "Pakistani: 40                                       - (-)           - (-)   \n",
       "Bangladeshi: 25                                     - (-)           - (-)   \n",
       "Other_Asian: 30                                     - (-)           - (-)   \n",
       "Caribbean: 35                                       - (-)           - (-)   \n",
       "African: 35                                         - (-)           - (-)   \n",
       "Other_Black: 30                                     - (-)           - (-)   \n",
       "White_and_Black_Caribbean: 25                       - (-)           - (-)   \n",
       "White_and_Black_African: 35                         - (-)           - (-)   \n",
       "White_and_Asian: 30                                 - (-)           - (-)   \n",
       "Other_Mixed: 20                                     - (-)           - (-)   \n",
       "White_British: 30                                   - (-)           - (-)   \n",
       "White_Irish: 35                                     - (-)           - (-)   \n",
       "Other_White: 25                                     - (-)           - (-)   \n",
       "Chinese: 35                                         - (-)           - (-)   \n",
       "Any_other_ethnic_group: 35                          - (-)           - (-)   \n",
       "\n",
       "                                  other mixed white british white irish  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                         \n",
       "Indian: 25                              - (-)         - (-)       - (-)   \n",
       "Pakistani: 40                           - (-)         - (-)       - (-)   \n",
       "Bangladeshi: 25                         - (-)         - (-)       - (-)   \n",
       "Other_Asian: 30                         - (-)         - (-)       - (-)   \n",
       "Caribbean: 35                           - (-)         - (-)       - (-)   \n",
       "African: 35                             - (-)         - (-)       - (-)   \n",
       "Other_Black: 30                         - (-)         - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 25           - (-)         - (-)       - (-)   \n",
       "White_and_Black_African: 35             - (-)         - (-)       - (-)   \n",
       "White_and_Asian: 30                     - (-)         - (-)       - (-)   \n",
       "Other_Mixed: 20                         - (-)         - (-)       - (-)   \n",
       "White_British: 30                       - (-)         - (-)       - (-)   \n",
       "White_Irish: 35                         - (-)         - (-)       - (-)   \n",
       "Other_White: 25                         - (-)         - (-)       - (-)   \n",
       "Chinese: 35                         10 (28.6)         - (-)       - (-)   \n",
       "Any_other_ethnic_group: 35              - (-)         - (-)       - (-)   \n",
       "\n",
       "                                  other white chinese any other ethnic group  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                              \n",
       "Indian: 25                              - (-)   - (-)                  - (-)   \n",
       "Pakistani: 40                           - (-)   - (-)                  - (-)   \n",
       "Bangladeshi: 25                         - (-)   - (-)                  - (-)   \n",
       "Other_Asian: 30                         - (-)   - (-)                  - (-)   \n",
       "Caribbean: 35                           - (-)   - (-)                  - (-)   \n",
       "African: 35                             - (-)   - (-)                  - (-)   \n",
       "Other_Black: 30                         - (-)   - (-)                  - (-)   \n",
       "White_and_Black_Caribbean: 25           - (-)   - (-)                  - (-)   \n",
       "White_and_Black_African: 35             - (-)   - (-)                  - (-)   \n",
       "White_and_Asian: 30                     - (-)   - (-)                  - (-)   \n",
       "Other_Mixed: 20                         - (-)   - (-)                  - (-)   \n",
       "White_British: 30                       - (-)   - (-)                  - (-)   \n",
       "White_Irish: 35                         - (-)   - (-)                  - (-)   \n",
       "Other_White: 25                         - (-)   - (-)                  - (-)   \n",
       "Chinese: 35                             - (-)   - (-)                  - (-)   \n",
       "Any_other_ethnic_group: 35              - (-)   - (-)                  - (-)   \n",
       "\n",
       "                                         any  \n",
       "Latest Ethnicity-\\n16 SNOMED:2022             \n",
       "Indian: 25                         15 (60.0)  \n",
       "Pakistani: 40                      25 (62.5)  \n",
       "Bangladeshi: 25                    15 (60.0)  \n",
       "Other_Asian: 30                    15 (50.0)  \n",
       "Caribbean: 35                      25 (71.4)  \n",
       "African: 35                        20 (57.1)  \n",
       "Other_Black: 30                    20 (66.7)  \n",
       "White_and_Black_Caribbean: 25      15 (60.0)  \n",
       "White_and_Black_African: 35        20 (57.1)  \n",
       "White_and_Asian: 30                15 (50.0)  \n",
       "Other_Mixed: 20                    15 (75.0)  \n",
       "White_British: 30                  20 (66.7)  \n",
       "White_Irish: 35                    25 (71.4)  \n",
       "Other_White: 25                    20 (80.0)  \n",
       "Chinese: 35                        25 (71.4)  \n",
       "Any_other_ethnic_group: 35         25 (71.4)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "      <th></th>\n",
       "      <th>indian</th>\n",
       "      <th>pakistani</th>\n",
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       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "16 CTV3:2020</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Indian: 35</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>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistani: 35</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>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladeshi: 25</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>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Asian: 30</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>15 (50.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean: 30</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>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>African: 35</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>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>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Black: 30</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>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_Caribbean: 30</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>25 (83.3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_African: 30</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>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Asian: 25</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>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Mixed: 40</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</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>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (62.5)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_British: 25</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>20 (80.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_Irish: 35</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>30 (85.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_White: 25</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>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese: 30</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>25 (83.3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Any_other_ethnic_group: 30</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>20 (66.7)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                indian pakistani bangladeshi other asian  \\\n",
       "Latest Ethnicity-\\n16 CTV3:2020                                            \n",
       "Indian: 35                       - (-)     - (-)       - (-)       - (-)   \n",
       "Pakistani: 35                    - (-)     - (-)       - (-)       - (-)   \n",
       "Bangladeshi: 25                  - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Asian: 30                  - (-)     - (-)       - (-)       - (-)   \n",
       "Caribbean: 30                    - (-)     - (-)       - (-)       - (-)   \n",
       "African: 35                      - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Black: 30                  - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 30    - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_African: 30      - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Asian: 25              - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Mixed: 40                  - (-)     - (-)       - (-)       - (-)   \n",
       "White_British: 25                - (-)     - (-)       - (-)       - (-)   \n",
       "White_Irish: 35                  - (-)     - (-)       - (-)       - (-)   \n",
       "Other_White: 25                  - (-)     - (-)       - (-)       - (-)   \n",
       "Chinese: 30                      - (-)     - (-)       - (-)       - (-)   \n",
       "Any_other_ethnic_group: 30       - (-)     - (-)       - (-)       - (-)   \n",
       "\n",
       "                                 caribbean african other black  \\\n",
       "Latest Ethnicity-\\n16 CTV3:2020                                  \n",
       "Indian: 35                           - (-)   - (-)       - (-)   \n",
       "Pakistani: 35                        - (-)   - (-)       - (-)   \n",
       "Bangladeshi: 25                      - (-)   - (-)       - (-)   \n",
       "Other_Asian: 30                      - (-)   - (-)       - (-)   \n",
       "Caribbean: 30                        - (-)   - (-)       - (-)   \n",
       "African: 35                          - (-)   - (-)       - (-)   \n",
       "Other_Black: 30                      - (-)   - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 30        - (-)   - (-)       - (-)   \n",
       "White_and_Black_African: 30          - (-)   - (-)       - (-)   \n",
       "White_and_Asian: 25                  - (-)   - (-)       - (-)   \n",
       "Other_Mixed: 40                  10 (25.0)   - (-)       - (-)   \n",
       "White_British: 25                    - (-)   - (-)       - (-)   \n",
       "White_Irish: 35                      - (-)   - (-)       - (-)   \n",
       "Other_White: 25                      - (-)   - (-)       - (-)   \n",
       "Chinese: 30                          - (-)   - (-)       - (-)   \n",
       "Any_other_ethnic_group: 30           - (-)   - (-)       - (-)   \n",
       "\n",
       "                                white and black caribbean  \\\n",
       "Latest Ethnicity-\\n16 CTV3:2020                             \n",
       "Indian: 35                                          - (-)   \n",
       "Pakistani: 35                                       - (-)   \n",
       "Bangladeshi: 25                                     - (-)   \n",
       "Other_Asian: 30                                     - (-)   \n",
       "Caribbean: 30                                       - (-)   \n",
       "African: 35                                         - (-)   \n",
       "Other_Black: 30                                     - (-)   \n",
       "White_and_Black_Caribbean: 30                       - (-)   \n",
       "White_and_Black_African: 30                         - (-)   \n",
       "White_and_Asian: 25                                 - (-)   \n",
       "Other_Mixed: 40                                 10 (25.0)   \n",
       "White_British: 25                                   - (-)   \n",
       "White_Irish: 35                                     - (-)   \n",
       "Other_White: 25                                     - (-)   \n",
       "Chinese: 30                                         - (-)   \n",
       "Any_other_ethnic_group: 30                          - (-)   \n",
       "\n",
       "                                white and black african white and asian  \\\n",
       "Latest Ethnicity-\\n16 CTV3:2020                                           \n",
       "Indian: 35                                        - (-)           - (-)   \n",
       "Pakistani: 35                                     - (-)           - (-)   \n",
       "Bangladeshi: 25                                   - (-)           - (-)   \n",
       "Other_Asian: 30                                   - (-)           - (-)   \n",
       "Caribbean: 30                                     - (-)           - (-)   \n",
       "African: 35                                       - (-)       10 (28.6)   \n",
       "Other_Black: 30                                   - (-)           - (-)   \n",
       "White_and_Black_Caribbean: 30                     - (-)           - (-)   \n",
       "White_and_Black_African: 30                       - (-)           - (-)   \n",
       "White_and_Asian: 25                               - (-)           - (-)   \n",
       "Other_Mixed: 40                                   - (-)           - (-)   \n",
       "White_British: 25                                 - (-)           - (-)   \n",
       "White_Irish: 35                                   - (-)           - (-)   \n",
       "Other_White: 25                                   - (-)           - (-)   \n",
       "Chinese: 30                                       - (-)           - (-)   \n",
       "Any_other_ethnic_group: 30                        - (-)           - (-)   \n",
       "\n",
       "                                other mixed white british white irish  \\\n",
       "Latest Ethnicity-\\n16 CTV3:2020                                         \n",
       "Indian: 35                            - (-)         - (-)       - (-)   \n",
       "Pakistani: 35                         - (-)         - (-)       - (-)   \n",
       "Bangladeshi: 25                       - (-)         - (-)       - (-)   \n",
       "Other_Asian: 30                       - (-)         - (-)       - (-)   \n",
       "Caribbean: 30                         - (-)         - (-)       - (-)   \n",
       "African: 35                       10 (28.6)         - (-)       - (-)   \n",
       "Other_Black: 30                       - (-)         - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 30         - (-)         - (-)       - (-)   \n",
       "White_and_Black_African: 30           - (-)         - (-)       - (-)   \n",
       "White_and_Asian: 25                   - (-)         - (-)       - (-)   \n",
       "Other_Mixed: 40                       - (-)         - (-)       - (-)   \n",
       "White_British: 25                     - (-)         - (-)       - (-)   \n",
       "White_Irish: 35                       - (-)         - (-)       - (-)   \n",
       "Other_White: 25                       - (-)         - (-)       - (-)   \n",
       "Chinese: 30                           - (-)         - (-)       - (-)   \n",
       "Any_other_ethnic_group: 30            - (-)         - (-)       - (-)   \n",
       "\n",
       "                                other white chinese any other ethnic group  \\\n",
       "Latest Ethnicity-\\n16 CTV3:2020                                              \n",
       "Indian: 35                            - (-)   - (-)                  - (-)   \n",
       "Pakistani: 35                     10 (28.6)   - (-)                  - (-)   \n",
       "Bangladeshi: 25                       - (-)   - (-)                  - (-)   \n",
       "Other_Asian: 30                       - (-)   - (-)                  - (-)   \n",
       "Caribbean: 30                         - (-)   - (-)                  - (-)   \n",
       "African: 35                           - (-)   - (-)                  - (-)   \n",
       "Other_Black: 30                       - (-)   - (-)                  - (-)   \n",
       "White_and_Black_Caribbean: 30         - (-)   - (-)                  - (-)   \n",
       "White_and_Black_African: 30           - (-)   - (-)                  - (-)   \n",
       "White_and_Asian: 25                   - (-)   - (-)                  - (-)   \n",
       "Other_Mixed: 40                       - (-)   - (-)                  - (-)   \n",
       "White_British: 25                     - (-)   - (-)                  - (-)   \n",
       "White_Irish: 35                       - (-)   - (-)                  - (-)   \n",
       "Other_White: 25                       - (-)   - (-)                  - (-)   \n",
       "Chinese: 30                           - (-)   - (-)                  - (-)   \n",
       "Any_other_ethnic_group: 30            - (-)   - (-)                  - (-)   \n",
       "\n",
       "                                       any  \n",
       "Latest Ethnicity-\\n16 CTV3:2020             \n",
       "Indian: 35                       25 (71.4)  \n",
       "Pakistani: 35                    25 (71.4)  \n",
       "Bangladeshi: 25                  15 (60.0)  \n",
       "Other_Asian: 30                  15 (50.0)  \n",
       "Caribbean: 30                    20 (66.7)  \n",
       "African: 35                      25 (71.4)  \n",
       "Other_Black: 30                  20 (66.7)  \n",
       "White_and_Black_Caribbean: 30    25 (83.3)  \n",
       "White_and_Black_African: 30      20 (66.7)  \n",
       "White_and_Asian: 25              15 (60.0)  \n",
       "Other_Mixed: 40                  25 (62.5)  \n",
       "White_British: 25                20 (80.0)  \n",
       "White_Irish: 35                  30 (85.7)  \n",
       "Other_White: 25                  15 (60.0)  \n",
       "Chinese: 30                      25 (83.3)  \n",
       "Any_other_ethnic_group: 30       20 (66.7)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "      <th>indian</th>\n",
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       "      <th>Latest Ethnicity-\n",
       "16 PRIMIS:2021</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Indian: 30</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>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistani: 35</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>20 (57.1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladeshi: 35</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>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Asian: 30</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>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean: 35</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>20 (57.1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>African: 40</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>25 (62.5)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Black: 25</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>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_Caribbean: 25</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>20 (80.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_African: 30</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 (33.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Asian: 25</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>15 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Mixed: 30</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>15 (50.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_British: 35</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>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_Irish: 30</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>25 (83.3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_White: 30</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>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese: 35</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>20 (57.1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Any_other_ethnic_group: 25</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>15 (60.0)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  indian pakistani bangladeshi other asian  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                            \n",
       "Indian: 30                         - (-)     - (-)       - (-)       - (-)   \n",
       "Pakistani: 35                      - (-)     - (-)       - (-)       - (-)   \n",
       "Bangladeshi: 35                    - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Asian: 30                    - (-)     - (-)       - (-)       - (-)   \n",
       "Caribbean: 35                      - (-)     - (-)       - (-)       - (-)   \n",
       "African: 40                        - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Black: 25                    - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 25      - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_African: 30        - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Asian: 25                - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Mixed: 30                    - (-)     - (-)       - (-)       - (-)   \n",
       "White_British: 35                  - (-)     - (-)       - (-)       - (-)   \n",
       "White_Irish: 30                    - (-)     - (-)       - (-)       - (-)   \n",
       "Other_White: 30                    - (-)     - (-)       - (-)       - (-)   \n",
       "Chinese: 35                        - (-)     - (-)       - (-)       - (-)   \n",
       "Any_other_ethnic_group: 25         - (-)     - (-)       - (-)       - (-)   \n",
       "\n",
       "                                  caribbean african other black  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                 \n",
       "Indian: 30                            - (-)   - (-)       - (-)   \n",
       "Pakistani: 35                         - (-)   - (-)       - (-)   \n",
       "Bangladeshi: 35                       - (-)   - (-)       - (-)   \n",
       "Other_Asian: 30                       - (-)   - (-)       - (-)   \n",
       "Caribbean: 35                         - (-)   - (-)       - (-)   \n",
       "African: 40                           - (-)   - (-)       - (-)   \n",
       "Other_Black: 25                       - (-)   - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 25         - (-)   - (-)       - (-)   \n",
       "White_and_Black_African: 30           - (-)   - (-)       - (-)   \n",
       "White_and_Asian: 25                   - (-)   - (-)       - (-)   \n",
       "Other_Mixed: 30                       - (-)   - (-)       - (-)   \n",
       "White_British: 35                     - (-)   - (-)       - (-)   \n",
       "White_Irish: 30                       - (-)   - (-)       - (-)   \n",
       "Other_White: 30                       - (-)   - (-)       - (-)   \n",
       "Chinese: 35                           - (-)   - (-)       - (-)   \n",
       "Any_other_ethnic_group: 25            - (-)   - (-)       - (-)   \n",
       "\n",
       "                                  white and black caribbean  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                             \n",
       "Indian: 30                                            - (-)   \n",
       "Pakistani: 35                                         - (-)   \n",
       "Bangladeshi: 35                                       - (-)   \n",
       "Other_Asian: 30                                       - (-)   \n",
       "Caribbean: 35                                         - (-)   \n",
       "African: 40                                           - (-)   \n",
       "Other_Black: 25                                       - (-)   \n",
       "White_and_Black_Caribbean: 25                         - (-)   \n",
       "White_and_Black_African: 30                           - (-)   \n",
       "White_and_Asian: 25                                   - (-)   \n",
       "Other_Mixed: 30                                       - (-)   \n",
       "White_British: 35                                     - (-)   \n",
       "White_Irish: 30                                       - (-)   \n",
       "Other_White: 30                                       - (-)   \n",
       "Chinese: 35                                           - (-)   \n",
       "Any_other_ethnic_group: 25                            - (-)   \n",
       "\n",
       "                                  white and black african white and asian  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                           \n",
       "Indian: 30                                          - (-)           - (-)   \n",
       "Pakistani: 35                                       - (-)           - (-)   \n",
       "Bangladeshi: 35                                     - (-)           - (-)   \n",
       "Other_Asian: 30                                     - (-)           - (-)   \n",
       "Caribbean: 35                                       - (-)           - (-)   \n",
       "African: 40                                         - (-)           - (-)   \n",
       "Other_Black: 25                                     - (-)           - (-)   \n",
       "White_and_Black_Caribbean: 25                       - (-)           - (-)   \n",
       "White_and_Black_African: 30                         - (-)           - (-)   \n",
       "White_and_Asian: 25                                 - (-)           - (-)   \n",
       "Other_Mixed: 30                                     - (-)           - (-)   \n",
       "White_British: 35                                   - (-)           - (-)   \n",
       "White_Irish: 30                                     - (-)           - (-)   \n",
       "Other_White: 30                                     - (-)           - (-)   \n",
       "Chinese: 35                                         - (-)           - (-)   \n",
       "Any_other_ethnic_group: 25                          - (-)           - (-)   \n",
       "\n",
       "                                  other mixed white british white irish  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                         \n",
       "Indian: 30                              - (-)         - (-)       - (-)   \n",
       "Pakistani: 35                           - (-)         - (-)       - (-)   \n",
       "Bangladeshi: 35                         - (-)         - (-)       - (-)   \n",
       "Other_Asian: 30                         - (-)         - (-)       - (-)   \n",
       "Caribbean: 35                           - (-)         - (-)       - (-)   \n",
       "African: 40                             - (-)         - (-)       - (-)   \n",
       "Other_Black: 25                         - (-)         - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 25           - (-)         - (-)       - (-)   \n",
       "White_and_Black_African: 30             - (-)     10 (33.3)       - (-)   \n",
       "White_and_Asian: 25                     - (-)         - (-)       - (-)   \n",
       "Other_Mixed: 30                         - (-)         - (-)       - (-)   \n",
       "White_British: 35                       - (-)         - (-)       - (-)   \n",
       "White_Irish: 30                         - (-)         - (-)       - (-)   \n",
       "Other_White: 30                         - (-)         - (-)       - (-)   \n",
       "Chinese: 35                             - (-)         - (-)       - (-)   \n",
       "Any_other_ethnic_group: 25              - (-)         - (-)       - (-)   \n",
       "\n",
       "                                  other white chinese any other ethnic group  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                              \n",
       "Indian: 30                              - (-)   - (-)                  - (-)   \n",
       "Pakistani: 35                           - (-)   - (-)                  - (-)   \n",
       "Bangladeshi: 35                         - (-)   - (-)                  - (-)   \n",
       "Other_Asian: 30                         - (-)   - (-)                  - (-)   \n",
       "Caribbean: 35                           - (-)   - (-)                  - (-)   \n",
       "African: 40                             - (-)   - (-)                  - (-)   \n",
       "Other_Black: 25                         - (-)   - (-)                  - (-)   \n",
       "White_and_Black_Caribbean: 25           - (-)   - (-)                  - (-)   \n",
       "White_and_Black_African: 30             - (-)   - (-)                  - (-)   \n",
       "White_and_Asian: 25                     - (-)   - (-)                  - (-)   \n",
       "Other_Mixed: 30                         - (-)   - (-)                  - (-)   \n",
       "White_British: 35                       - (-)   - (-)                  - (-)   \n",
       "White_Irish: 30                         - (-)   - (-)                  - (-)   \n",
       "Other_White: 30                         - (-)   - (-)                  - (-)   \n",
       "Chinese: 35                             - (-)   - (-)                  - (-)   \n",
       "Any_other_ethnic_group: 25              - (-)   - (-)                  - (-)   \n",
       "\n",
       "                                         any  \n",
       "Latest Ethnicity-\\n16 PRIMIS:2021             \n",
       "Indian: 30                         20 (66.7)  \n",
       "Pakistani: 35                      20 (57.1)  \n",
       "Bangladeshi: 35                    25 (71.4)  \n",
       "Other_Asian: 30                    20 (66.7)  \n",
       "Caribbean: 35                      20 (57.1)  \n",
       "African: 40                        25 (62.5)  \n",
       "Other_Black: 25                    15 (60.0)  \n",
       "White_and_Black_Caribbean: 25      20 (80.0)  \n",
       "White_and_Black_African: 30        20 (66.7)  \n",
       "White_and_Asian: 25                15 (60.0)  \n",
       "Other_Mixed: 30                    15 (50.0)  \n",
       "White_British: 35                  25 (71.4)  \n",
       "White_Irish: 30                    25 (83.3)  \n",
       "Other_White: 30                    20 (66.7)  \n",
       "Chinese: 35                        20 (57.1)  \n",
       "Any_other_ethnic_group: 25         15 (60.0)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for definition in definitions_16:\n",
    "        lowerlist_16 = [x.lower() for x in (list(code_dict_16[definition].values()))]\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.replace(\"nan (nan)\", \"- (-)\")\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.rename(columns={f'{definition_dict[definition]}':f'Latest Ethnicity-\\n{definition_dict[definition]}'}, inplace=True)\n",
    "        df_state_change = df_state_change.set_index(f'Latest Ethnicity-\\n{definition_dict[definition]}')\n",
    "        df_state_change.columns = df_state_change.columns.str.replace(\"_\", \" \")\n",
    "        display(df_state_change)"
   ]
  },
  {
   "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": 519,
   "metadata": {},
   "outputs": [],
   "source": [
    "from cmath import isnan\n",
    "\n",
    "\n",
    "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.rename(columns={f'{definition_dict[definition]}':f'Latest Ethnicity-\\n{definition_dict[definition]}'}, inplace=True)\n",
    "        df_out = df_out.set_index(f'Latest Ethnicity-\\n{definition_dict[definition]}')\n",
    "        df_out = df_out.replace(np.nan, \"-\")\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.replace(\"nan (nan)\", \"- (-)\")\n",
    "        df_sum = df_sum.rename(definition_dict, axis='columns')\n",
    "        df_sum.rename(columns={f'{definition_dict[definition]}':f'Latest Ethnicity-\\n{definition_dict[definition]}'}, inplace=True)\n",
    "        df_sum = df_sum.set_index(f'Latest Ethnicity-\\n{definition_dict[definition]}')\n",
    "        # display(df_sum)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 520,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "Overall 30% of the latest `5 group` ethnicity matched the most frequent `5 group` ethnicity for all codelists. nan% 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 100% (SNOMED:2022 and CTV:2020) and 25% (PRIMIS:2021) of those with the most recent ethnicity `Mixed` also had the most frequent ethnicity `Mixed`. Of those with latest ethnicity `Black` 19% 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 `5 group` ethnicity matched the most frequent `5 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": "code",
   "execution_count": 521,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>matching (26.7%)</th>\n",
       "      <th>not matching (73.3%)</th>\n",
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       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "5 SNOMED:2022</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asian</th>\n",
       "      <td>-</td>\n",
       "      <td>10</td>\n",
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       "      <th>Black</th>\n",
       "      <td>10</td>\n",
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       "    </tr>\n",
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       "      <th>Mixed</th>\n",
       "      <td>-</td>\n",
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       "      <th>White</th>\n",
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      ],
      "text/plain": [
       "                                 matching (26.7%)  not matching (73.3%)\n",
       "Latest Ethnicity-\\n5 SNOMED:2022                                       \n",
       "Asian                                           -                    10\n",
       "Black                                          10                     0\n",
       "Mixed                                           -                     0\n",
       "White                                          30                   100\n",
       "Other                                           -                     0"
      ]
     },
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       "      <th>asian</th>\n",
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       "      <th>Latest Ethnicity-\n",
       "5 SNOMED:2022</th>\n",
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       "      <th>Asian</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (100.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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       "    <tr>\n",
       "      <th>Black</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (100.0)</td>\n",
       "      <td>- (-)</td>\n",
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       "    <tr>\n",
       "      <th>Mixed</th>\n",
       "      <td>- (-)</td>\n",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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       "    <tr>\n",
       "      <th>White</th>\n",
       "      <td>25 (19.2)</td>\n",
       "      <td>30 (23.1)</td>\n",
       "      <td>25 (19.2)</td>\n",
       "      <td>25 (19.2)</td>\n",
       "      <td>25 (19.2)</td>\n",
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      "text/plain": [
       "                                      asian      black       mixed      white  \\\n",
       "Latest Ethnicity-\\n5 SNOMED:2022                                                \n",
       "Asian                                 - (-)      - (-)  10 (100.0)      - (-)   \n",
       "Black                                 - (-)      - (-)  10 (100.0)      - (-)   \n",
       "Mixed                                 - (-)      - (-)       - (-)      - (-)   \n",
       "White                             25 (19.2)  30 (23.1)   25 (19.2)  25 (19.2)   \n",
       "Other                                 - (-)      - (-)       - (-)      - (-)   \n",
       "\n",
       "                                      other  \n",
       "Latest Ethnicity-\\n5 SNOMED:2022             \n",
       "Asian                                 - (-)  \n",
       "Black                                 - (-)  \n",
       "Mixed                                 - (-)  \n",
       "White                             25 (19.2)  \n",
       "Other                                 - (-)  "
      ]
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       "                               matching (29.6%)  not matching (70.4%)\n",
       "Latest Ethnicity-\\n5 CTV3:2020                                       \n",
       "Asian                                        10                    20\n",
       "Black                                         -                    20\n",
       "Mixed                                        10                    10\n",
       "White                                        10                    30\n",
       "Other                                        10                    15"
      ]
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       "5 CTV3:2020</th>\n",
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       "      <th>White</th>\n",
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       "      <td>10 (25.0)</td>\n",
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       "      <td>15 (60.0)</td>\n",
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       "      <td>10 (40.0)</td>\n",
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      ],
      "text/plain": [
       "                                    asian      black      mixed      white  \\\n",
       "Latest Ethnicity-\\n5 CTV3:2020                                               \n",
       "Asian                               - (-)  10 (33.3)  10 (33.3)  10 (33.3)   \n",
       "Black                           10 (50.0)  10 (50.0)      - (-)      - (-)   \n",
       "Mixed                           10 (50.0)      - (-)      - (-)  10 (50.0)   \n",
       "White                           10 (25.0)  10 (25.0)      - (-)  10 (25.0)   \n",
       "Other                           15 (60.0)      - (-)      - (-)      - (-)   \n",
       "\n",
       "                                    other  \n",
       "Latest Ethnicity-\\n5 CTV3:2020             \n",
       "Asian                               - (-)  \n",
       "Black                               - (-)  \n",
       "Mixed                               - (-)  \n",
       "White                           10 (25.0)  \n",
       "Other                           10 (40.0)  "
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      "text/plain": [
       "                                 matching (18.2%)  not matching (81.8%)\n",
       "Latest Ethnicity-\\n5 PRIMIS:2021                                       \n",
       "Asian                                          10                    35\n",
       "Black                                          10                    30\n",
       "Mixed                                           -                     0\n",
       "White                                           -                    15\n",
       "Other                                           -                    10"
      ]
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "5 PRIMIS:2021</th>\n",
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       "      <th>Asian</th>\n",
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       "      <td>10 (22.2)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>15 (33.3)</td>\n",
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       "      <th>Black</th>\n",
       "      <td>10 (25.0)</td>\n",
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       "      <td>- (-)</td>\n",
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       "      <th>Mixed</th>\n",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (100.0)</td>\n",
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       "      <th>Other</th>\n",
       "      <td>- (-)</td>\n",
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       "      <td>- (-)</td>\n",
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       "      <td>- (-)</td>\n",
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      "text/plain": [
       "                                      asian       black      mixed      white  \\\n",
       "Latest Ethnicity-\\n5 PRIMIS:2021                                                \n",
       "Asian                                 - (-)   10 (22.2)  10 (22.2)  10 (22.2)   \n",
       "Black                             10 (25.0)   10 (25.0)  10 (25.0)      - (-)   \n",
       "Mixed                                 - (-)       - (-)      - (-)      - (-)   \n",
       "White                                 - (-)       - (-)      - (-)      - (-)   \n",
       "Other                                 - (-)  10 (100.0)      - (-)      - (-)   \n",
       "\n",
       "                                       other  \n",
       "Latest Ethnicity-\\n5 PRIMIS:2021              \n",
       "Asian                              15 (33.3)  \n",
       "Black                              10 (25.0)  \n",
       "Mixed                                  - (-)  \n",
       "White                             15 (100.0)  \n",
       "Other                                  - (-)  "
      ]
     },
     "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.rename(columns={f'{definition_dict[definition]}':f'Latest Ethnicity-\\n{definition_dict[definition]}'}, inplace=True)\n",
    "        df_out = df_out.set_index(f'Latest Ethnicity-\\n{definition_dict[definition]}')\n",
    "        df_out = df_out.replace(np.nan, \"-\")\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.replace(\"nan (nan)\", \"- (-)\")\n",
    "        df_sum = df_sum.rename(definition_dict, axis='columns')\n",
    "        df_sum.rename(columns={f'{definition_dict[definition]}':f'Latest Ethnicity-\\n{definition_dict[definition]}'}, inplace=True)\n",
    "        df_sum = df_sum.set_index(f'Latest Ethnicity-\\n{definition_dict[definition]}')\n",
    "        display(df_sum)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 16 group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 522,
   "metadata": {},
   "outputs": [],
   "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.rename(columns={f'{definition_dict[definition]}':f'Latest Ethnicity-\\n{definition_dict[definition]}'}, inplace=True)\n",
    "        df_out = df_out.set_index(f'Latest Ethnicity-\\n{definition_dict[definition]}')\n",
    "        df_out = df_out.replace(np.nan, \"-\")\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.replace(\"nan (nan)\", \"- (-)\")\n",
    "        df_sum = df_sum.rename(definition_dict, axis='columns')\n",
    "        df_sum.rename(columns={f'{definition_dict[definition]}':f'Latest Ethnicity-\\n{definition_dict[definition]}'}, inplace=True)\n",
    "        df_sum = df_sum.set_index(f'Latest Ethnicity-\\n{definition_dict[definition]}')\n",
    "        df_sum.columns = df_sum.columns.str.replace(\"_\", \" \")\n",
    "        \n",
    "        \n",
    "        # display(df_sum)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 523,
   "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 CTV3:2020 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%, respectively, 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 CTV3:2020 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])}%, respectively, of those with the most recent ethnicity `Other Black` also had the most frequent ethnicity `Other Black`.\n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 524,
   "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>matching (nan%)</th>\n",
       "      <th>not matching (nan%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "16 SNOMED:2022</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Indian</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistani</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladeshi</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Asian</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>African</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Black</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_Caribbean</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_African</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Asian</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Mixed</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_British</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_Irish</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_White</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Any_other_ethnic_group</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  matching (nan%)  not matching (nan%)\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                     \n",
       "Indian                                          -                    0\n",
       "Pakistani                                       -                    0\n",
       "Bangladeshi                                     -                    0\n",
       "Other_Asian                                     -                    0\n",
       "Caribbean                                       -                    0\n",
       "African                                         -                    0\n",
       "Other_Black                                     -                    0\n",
       "White_and_Black_Caribbean                       -                    0\n",
       "White_and_Black_African                         -                    0\n",
       "White_and_Asian                                 -                    0\n",
       "Other_Mixed                                     -                    0\n",
       "White_British                                   -                    0\n",
       "White_Irish                                     -                    0\n",
       "Other_White                                     -                    0\n",
       "Chinese                                         -                    0\n",
       "Any_other_ethnic_group                          -                    0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "    .dataframe tbody tr th {\n",
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       "    .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>indian</th>\n",
       "      <th>pakistani</th>\n",
       "      <th>bangladeshi</th>\n",
       "      <th>other asian</th>\n",
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       "      <th>white and black african</th>\n",
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       "      <th>white british</th>\n",
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       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "16 SNOMED:2022</th>\n",
       "      <th></th>\n",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Asian</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>African</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Black</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_Caribbean</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",
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       "      <td>- (-)</td>\n",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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       "      <th>Other_White</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",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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       "                                  indian pakistani bangladeshi other asian  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                            \n",
       "Indian                             - (-)     - (-)       - (-)       - (-)   \n",
       "Pakistani                          - (-)     - (-)       - (-)       - (-)   \n",
       "Bangladeshi                        - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Asian                        - (-)     - (-)       - (-)       - (-)   \n",
       "Caribbean                          - (-)     - (-)       - (-)       - (-)   \n",
       "African                            - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Black                        - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_Caribbean          - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_African            - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Asian                    - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Mixed                        - (-)     - (-)       - (-)       - (-)   \n",
       "White_British                      - (-)     - (-)       - (-)       - (-)   \n",
       "White_Irish                        - (-)     - (-)       - (-)       - (-)   \n",
       "Other_White                        - (-)     - (-)       - (-)       - (-)   \n",
       "Chinese                            - (-)     - (-)       - (-)       - (-)   \n",
       "Any_other_ethnic_group             - (-)     - (-)       - (-)       - (-)   \n",
       "\n",
       "                                  caribbean african other black  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                 \n",
       "Indian                                - (-)   - (-)       - (-)   \n",
       "Pakistani                             - (-)   - (-)       - (-)   \n",
       "Bangladeshi                           - (-)   - (-)       - (-)   \n",
       "Other_Asian                           - (-)   - (-)       - (-)   \n",
       "Caribbean                             - (-)   - (-)       - (-)   \n",
       "African                               - (-)   - (-)       - (-)   \n",
       "Other_Black                           - (-)   - (-)       - (-)   \n",
       "White_and_Black_Caribbean             - (-)   - (-)       - (-)   \n",
       "White_and_Black_African               - (-)   - (-)       - (-)   \n",
       "White_and_Asian                       - (-)   - (-)       - (-)   \n",
       "Other_Mixed                           - (-)   - (-)       - (-)   \n",
       "White_British                         - (-)   - (-)       - (-)   \n",
       "White_Irish                           - (-)   - (-)       - (-)   \n",
       "Other_White                           - (-)   - (-)       - (-)   \n",
       "Chinese                               - (-)   - (-)       - (-)   \n",
       "Any_other_ethnic_group                - (-)   - (-)       - (-)   \n",
       "\n",
       "                                  white and black caribbean  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                             \n",
       "Indian                                                - (-)   \n",
       "Pakistani                                             - (-)   \n",
       "Bangladeshi                                           - (-)   \n",
       "Other_Asian                                           - (-)   \n",
       "Caribbean                                             - (-)   \n",
       "African                                               - (-)   \n",
       "Other_Black                                           - (-)   \n",
       "White_and_Black_Caribbean                             - (-)   \n",
       "White_and_Black_African                               - (-)   \n",
       "White_and_Asian                                       - (-)   \n",
       "Other_Mixed                                           - (-)   \n",
       "White_British                                         - (-)   \n",
       "White_Irish                                           - (-)   \n",
       "Other_White                                           - (-)   \n",
       "Chinese                                               - (-)   \n",
       "Any_other_ethnic_group                                - (-)   \n",
       "\n",
       "                                  white and black african white and asian  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                           \n",
       "Indian                                              - (-)           - (-)   \n",
       "Pakistani                                           - (-)           - (-)   \n",
       "Bangladeshi                                         - (-)           - (-)   \n",
       "Other_Asian                                         - (-)           - (-)   \n",
       "Caribbean                                           - (-)           - (-)   \n",
       "African                                             - (-)           - (-)   \n",
       "Other_Black                                         - (-)           - (-)   \n",
       "White_and_Black_Caribbean                           - (-)           - (-)   \n",
       "White_and_Black_African                             - (-)           - (-)   \n",
       "White_and_Asian                                     - (-)           - (-)   \n",
       "Other_Mixed                                         - (-)           - (-)   \n",
       "White_British                                       - (-)           - (-)   \n",
       "White_Irish                                         - (-)           - (-)   \n",
       "Other_White                                         - (-)           - (-)   \n",
       "Chinese                                             - (-)           - (-)   \n",
       "Any_other_ethnic_group                              - (-)           - (-)   \n",
       "\n",
       "                                  other mixed white british white irish  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                         \n",
       "Indian                                  - (-)         - (-)       - (-)   \n",
       "Pakistani                               - (-)         - (-)       - (-)   \n",
       "Bangladeshi                             - (-)         - (-)       - (-)   \n",
       "Other_Asian                             - (-)         - (-)       - (-)   \n",
       "Caribbean                               - (-)         - (-)       - (-)   \n",
       "African                                 - (-)         - (-)       - (-)   \n",
       "Other_Black                             - (-)         - (-)       - (-)   \n",
       "White_and_Black_Caribbean               - (-)         - (-)       - (-)   \n",
       "White_and_Black_African                 - (-)         - (-)       - (-)   \n",
       "White_and_Asian                         - (-)         - (-)       - (-)   \n",
       "Other_Mixed                             - (-)         - (-)       - (-)   \n",
       "White_British                           - (-)         - (-)       - (-)   \n",
       "White_Irish                             - (-)         - (-)       - (-)   \n",
       "Other_White                             - (-)         - (-)       - (-)   \n",
       "Chinese                                 - (-)         - (-)       - (-)   \n",
       "Any_other_ethnic_group                  - (-)         - (-)       - (-)   \n",
       "\n",
       "                                  other white chinese any other ethnic group  \n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                             \n",
       "Indian                                  - (-)   - (-)                  - (-)  \n",
       "Pakistani                               - (-)   - (-)                  - (-)  \n",
       "Bangladeshi                             - (-)   - (-)                  - (-)  \n",
       "Other_Asian                             - (-)   - (-)                  - (-)  \n",
       "Caribbean                               - (-)   - (-)                  - (-)  \n",
       "African                                 - (-)   - (-)                  - (-)  \n",
       "Other_Black                             - (-)   - (-)                  - (-)  \n",
       "White_and_Black_Caribbean               - (-)   - (-)                  - (-)  \n",
       "White_and_Black_African                 - (-)   - (-)                  - (-)  \n",
       "White_and_Asian                         - (-)   - (-)                  - (-)  \n",
       "Other_Mixed                             - (-)   - (-)                  - (-)  \n",
       "White_British                           - (-)   - (-)                  - (-)  \n",
       "White_Irish                             - (-)   - (-)                  - (-)  \n",
       "Other_White                             - (-)   - (-)                  - (-)  \n",
       "Chinese                                 - (-)   - (-)                  - (-)  \n",
       "Any_other_ethnic_group                  - (-)   - (-)                  - (-)  "
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       "                                matching (nan%)  not matching (nan%)\n",
       "Latest Ethnicity-\\n16 CTV3:2020                                     \n",
       "Indian                                        -                    0\n",
       "Pakistani                                     -                    0\n",
       "Bangladeshi                                   -                    0\n",
       "Other_Asian                                   -                    0\n",
       "Caribbean                                     -                    0\n",
       "African                                       -                    0\n",
       "Other_Black                                   -                    0\n",
       "White_and_Black_Caribbean                     -                    0\n",
       "White_and_Black_African                       -                    0\n",
       "White_and_Asian                               -                    0\n",
       "Other_Mixed                                   -                    0\n",
       "White_British                                 -                    0\n",
       "White_Irish                                   -                    0\n",
       "Other_White                                   -                    0\n",
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       "      <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>Caribbean</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",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <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>White_British</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",
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       "      <th>White_Irish</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_White</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",
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       "      <th>Chinese</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",
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       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
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      "text/plain": [
       "                                indian pakistani bangladeshi other asian  \\\n",
       "Latest Ethnicity-\\n16 CTV3:2020                                            \n",
       "Indian                           - (-)     - (-)       - (-)       - (-)   \n",
       "Pakistani                        - (-)     - (-)       - (-)       - (-)   \n",
       "Bangladeshi                      - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Asian                      - (-)     - (-)       - (-)       - (-)   \n",
       "Caribbean                        - (-)     - (-)       - (-)       - (-)   \n",
       "African                          - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Black                      - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_Caribbean        - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_African          - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Asian                  - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Mixed                      - (-)     - (-)       - (-)       - (-)   \n",
       "White_British                    - (-)     - (-)       - (-)       - (-)   \n",
       "White_Irish                      - (-)     - (-)       - (-)       - (-)   \n",
       "Other_White                      - (-)     - (-)       - (-)       - (-)   \n",
       "Chinese                          - (-)     - (-)       - (-)       - (-)   \n",
       "Any_other_ethnic_group           - (-)     - (-)       - (-)       - (-)   \n",
       "\n",
       "                                caribbean african other black  \\\n",
       "Latest Ethnicity-\\n16 CTV3:2020                                 \n",
       "Indian                              - (-)   - (-)       - (-)   \n",
       "Pakistani                           - (-)   - (-)       - (-)   \n",
       "Bangladeshi                         - (-)   - (-)       - (-)   \n",
       "Other_Asian                         - (-)   - (-)       - (-)   \n",
       "Caribbean                           - (-)   - (-)       - (-)   \n",
       "African                             - (-)   - (-)       - (-)   \n",
       "Other_Black                         - (-)   - (-)       - (-)   \n",
       "White_and_Black_Caribbean           - (-)   - (-)       - (-)   \n",
       "White_and_Black_African             - (-)   - (-)       - (-)   \n",
       "White_and_Asian                     - (-)   - (-)       - (-)   \n",
       "Other_Mixed                         - (-)   - (-)       - (-)   \n",
       "White_British                       - (-)   - (-)       - (-)   \n",
       "White_Irish                         - (-)   - (-)       - (-)   \n",
       "Other_White                         - (-)   - (-)       - (-)   \n",
       "Chinese                             - (-)   - (-)       - (-)   \n",
       "Any_other_ethnic_group              - (-)   - (-)       - (-)   \n",
       "\n",
       "                                white and black caribbean  \\\n",
       "Latest Ethnicity-\\n16 CTV3:2020                             \n",
       "Indian                                              - (-)   \n",
       "Pakistani                                           - (-)   \n",
       "Bangladeshi                                         - (-)   \n",
       "Other_Asian                                         - (-)   \n",
       "Caribbean                                           - (-)   \n",
       "African                                             - (-)   \n",
       "Other_Black                                         - (-)   \n",
       "White_and_Black_Caribbean                           - (-)   \n",
       "White_and_Black_African                             - (-)   \n",
       "White_and_Asian                                     - (-)   \n",
       "Other_Mixed                                         - (-)   \n",
       "White_British                                       - (-)   \n",
       "White_Irish                                         - (-)   \n",
       "Other_White                                         - (-)   \n",
       "Chinese                                             - (-)   \n",
       "Any_other_ethnic_group                              - (-)   \n",
       "\n",
       "                                white and black african white and asian  \\\n",
       "Latest Ethnicity-\\n16 CTV3:2020                                           \n",
       "Indian                                            - (-)           - (-)   \n",
       "Pakistani                                         - (-)           - (-)   \n",
       "Bangladeshi                                       - (-)           - (-)   \n",
       "Other_Asian                                       - (-)           - (-)   \n",
       "Caribbean                                         - (-)           - (-)   \n",
       "African                                           - (-)           - (-)   \n",
       "Other_Black                                       - (-)           - (-)   \n",
       "White_and_Black_Caribbean                         - (-)           - (-)   \n",
       "White_and_Black_African                           - (-)           - (-)   \n",
       "White_and_Asian                                   - (-)           - (-)   \n",
       "Other_Mixed                                       - (-)           - (-)   \n",
       "White_British                                     - (-)           - (-)   \n",
       "White_Irish                                       - (-)           - (-)   \n",
       "Other_White                                       - (-)           - (-)   \n",
       "Chinese                                           - (-)           - (-)   \n",
       "Any_other_ethnic_group                            - (-)           - (-)   \n",
       "\n",
       "                                other mixed white british white irish  \\\n",
       "Latest Ethnicity-\\n16 CTV3:2020                                         \n",
       "Indian                                - (-)         - (-)       - (-)   \n",
       "Pakistani                             - (-)         - (-)       - (-)   \n",
       "Bangladeshi                           - (-)         - (-)       - (-)   \n",
       "Other_Asian                           - (-)         - (-)       - (-)   \n",
       "Caribbean                             - (-)         - (-)       - (-)   \n",
       "African                               - (-)         - (-)       - (-)   \n",
       "Other_Black                           - (-)         - (-)       - (-)   \n",
       "White_and_Black_Caribbean             - (-)         - (-)       - (-)   \n",
       "White_and_Black_African               - (-)         - (-)       - (-)   \n",
       "White_and_Asian                       - (-)         - (-)       - (-)   \n",
       "Other_Mixed                           - (-)         - (-)       - (-)   \n",
       "White_British                         - (-)         - (-)       - (-)   \n",
       "White_Irish                           - (-)         - (-)       - (-)   \n",
       "Other_White                           - (-)         - (-)       - (-)   \n",
       "Chinese                               - (-)         - (-)       - (-)   \n",
       "Any_other_ethnic_group                - (-)         - (-)       - (-)   \n",
       "\n",
       "                                other white chinese any other ethnic group  \n",
       "Latest Ethnicity-\\n16 CTV3:2020                                             \n",
       "Indian                                - (-)   - (-)                  - (-)  \n",
       "Pakistani                             - (-)   - (-)                  - (-)  \n",
       "Bangladeshi                           - (-)   - (-)                  - (-)  \n",
       "Other_Asian                           - (-)   - (-)                  - (-)  \n",
       "Caribbean                             - (-)   - (-)                  - (-)  \n",
       "African                               - (-)   - (-)                  - (-)  \n",
       "Other_Black                           - (-)   - (-)                  - (-)  \n",
       "White_and_Black_Caribbean             - (-)   - (-)                  - (-)  \n",
       "White_and_Black_African               - (-)   - (-)                  - (-)  \n",
       "White_and_Asian                       - (-)   - (-)                  - (-)  \n",
       "Other_Mixed                           - (-)   - (-)                  - (-)  \n",
       "White_British                         - (-)   - (-)                  - (-)  \n",
       "White_Irish                           - (-)   - (-)                  - (-)  \n",
       "Other_White                           - (-)   - (-)                  - (-)  \n",
       "Chinese                               - (-)   - (-)                  - (-)  \n",
       "Any_other_ethnic_group                - (-)   - (-)                  - (-)  "
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       "                                  matching (nan%)  not matching (nan%)\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                     \n",
       "Indian                                          -                    0\n",
       "Pakistani                                       -                    0\n",
       "Bangladeshi                                     -                    0\n",
       "Other_Asian                                     -                    0\n",
       "Caribbean                                       -                    0\n",
       "African                                         -                    0\n",
       "Other_Black                                     -                    0\n",
       "White_and_Black_Caribbean                       -                    0\n",
       "White_and_Black_African                         -                    0\n",
       "White_and_Asian                                 -                    0\n",
       "Other_Mixed                                     -                    0\n",
       "White_British                                   -                    0\n",
       "White_Irish                                     -                    0\n",
       "Other_White                                     -                    0\n",
       "Chinese                                         -                    0\n",
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       "      <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>Indian</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistani</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladeshi</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Asian</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>African</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Black</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_Caribbean</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_African</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Asian</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Mixed</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_British</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_Irish</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_White</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Any_other_ethnic_group</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  indian pakistani bangladeshi other asian  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                            \n",
       "Indian                             - (-)     - (-)       - (-)       - (-)   \n",
       "Pakistani                          - (-)     - (-)       - (-)       - (-)   \n",
       "Bangladeshi                        - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Asian                        - (-)     - (-)       - (-)       - (-)   \n",
       "Caribbean                          - (-)     - (-)       - (-)       - (-)   \n",
       "African                            - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Black                        - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_Caribbean          - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_African            - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Asian                    - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Mixed                        - (-)     - (-)       - (-)       - (-)   \n",
       "White_British                      - (-)     - (-)       - (-)       - (-)   \n",
       "White_Irish                        - (-)     - (-)       - (-)       - (-)   \n",
       "Other_White                        - (-)     - (-)       - (-)       - (-)   \n",
       "Chinese                            - (-)     - (-)       - (-)       - (-)   \n",
       "Any_other_ethnic_group             - (-)     - (-)       - (-)       - (-)   \n",
       "\n",
       "                                  caribbean african other black  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                 \n",
       "Indian                                - (-)   - (-)       - (-)   \n",
       "Pakistani                             - (-)   - (-)       - (-)   \n",
       "Bangladeshi                           - (-)   - (-)       - (-)   \n",
       "Other_Asian                           - (-)   - (-)       - (-)   \n",
       "Caribbean                             - (-)   - (-)       - (-)   \n",
       "African                               - (-)   - (-)       - (-)   \n",
       "Other_Black                           - (-)   - (-)       - (-)   \n",
       "White_and_Black_Caribbean             - (-)   - (-)       - (-)   \n",
       "White_and_Black_African               - (-)   - (-)       - (-)   \n",
       "White_and_Asian                       - (-)   - (-)       - (-)   \n",
       "Other_Mixed                           - (-)   - (-)       - (-)   \n",
       "White_British                         - (-)   - (-)       - (-)   \n",
       "White_Irish                           - (-)   - (-)       - (-)   \n",
       "Other_White                           - (-)   - (-)       - (-)   \n",
       "Chinese                               - (-)   - (-)       - (-)   \n",
       "Any_other_ethnic_group                - (-)   - (-)       - (-)   \n",
       "\n",
       "                                  white and black caribbean  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                             \n",
       "Indian                                                - (-)   \n",
       "Pakistani                                             - (-)   \n",
       "Bangladeshi                                           - (-)   \n",
       "Other_Asian                                           - (-)   \n",
       "Caribbean                                             - (-)   \n",
       "African                                               - (-)   \n",
       "Other_Black                                           - (-)   \n",
       "White_and_Black_Caribbean                             - (-)   \n",
       "White_and_Black_African                               - (-)   \n",
       "White_and_Asian                                       - (-)   \n",
       "Other_Mixed                                           - (-)   \n",
       "White_British                                         - (-)   \n",
       "White_Irish                                           - (-)   \n",
       "Other_White                                           - (-)   \n",
       "Chinese                                               - (-)   \n",
       "Any_other_ethnic_group                                - (-)   \n",
       "\n",
       "                                  white and black african white and asian  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                           \n",
       "Indian                                              - (-)           - (-)   \n",
       "Pakistani                                           - (-)           - (-)   \n",
       "Bangladeshi                                         - (-)           - (-)   \n",
       "Other_Asian                                         - (-)           - (-)   \n",
       "Caribbean                                           - (-)           - (-)   \n",
       "African                                             - (-)           - (-)   \n",
       "Other_Black                                         - (-)           - (-)   \n",
       "White_and_Black_Caribbean                           - (-)           - (-)   \n",
       "White_and_Black_African                             - (-)           - (-)   \n",
       "White_and_Asian                                     - (-)           - (-)   \n",
       "Other_Mixed                                         - (-)           - (-)   \n",
       "White_British                                       - (-)           - (-)   \n",
       "White_Irish                                         - (-)           - (-)   \n",
       "Other_White                                         - (-)           - (-)   \n",
       "Chinese                                             - (-)           - (-)   \n",
       "Any_other_ethnic_group                              - (-)           - (-)   \n",
       "\n",
       "                                  other mixed white british white irish  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                         \n",
       "Indian                                  - (-)         - (-)       - (-)   \n",
       "Pakistani                               - (-)         - (-)       - (-)   \n",
       "Bangladeshi                             - (-)         - (-)       - (-)   \n",
       "Other_Asian                             - (-)         - (-)       - (-)   \n",
       "Caribbean                               - (-)         - (-)       - (-)   \n",
       "African                                 - (-)         - (-)       - (-)   \n",
       "Other_Black                             - (-)         - (-)       - (-)   \n",
       "White_and_Black_Caribbean               - (-)         - (-)       - (-)   \n",
       "White_and_Black_African                 - (-)         - (-)       - (-)   \n",
       "White_and_Asian                         - (-)         - (-)       - (-)   \n",
       "Other_Mixed                             - (-)         - (-)       - (-)   \n",
       "White_British                           - (-)         - (-)       - (-)   \n",
       "White_Irish                             - (-)         - (-)       - (-)   \n",
       "Other_White                             - (-)         - (-)       - (-)   \n",
       "Chinese                                 - (-)         - (-)       - (-)   \n",
       "Any_other_ethnic_group                  - (-)         - (-)       - (-)   \n",
       "\n",
       "                                  other white chinese any other ethnic group  \n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                             \n",
       "Indian                                  - (-)   - (-)                  - (-)  \n",
       "Pakistani                               - (-)   - (-)                  - (-)  \n",
       "Bangladeshi                             - (-)   - (-)                  - (-)  \n",
       "Other_Asian                             - (-)   - (-)                  - (-)  \n",
       "Caribbean                               - (-)   - (-)                  - (-)  \n",
       "African                                 - (-)   - (-)                  - (-)  \n",
       "Other_Black                             - (-)   - (-)                  - (-)  \n",
       "White_and_Black_Caribbean               - (-)   - (-)                  - (-)  \n",
       "White_and_Black_African                 - (-)   - (-)                  - (-)  \n",
       "White_and_Asian                         - (-)   - (-)                  - (-)  \n",
       "Other_Mixed                             - (-)   - (-)                  - (-)  \n",
       "White_British                           - (-)   - (-)                  - (-)  \n",
       "White_Irish                             - (-)   - (-)                  - (-)  \n",
       "Other_White                             - (-)   - (-)                  - (-)  \n",
       "Chinese                                 - (-)   - (-)                  - (-)  \n",
       "Any_other_ethnic_group                  - (-)   - (-)                  - (-)  "
      ]
     },
     "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.rename(columns={f'{definition_dict[definition]}':f'Latest Ethnicity-\\n{definition_dict[definition]}'}, inplace=True)\n",
    "        df_out = df_out.set_index(f'Latest Ethnicity-\\n{definition_dict[definition]}')\n",
    "        df_out = df_out.replace(np.nan, \"-\")\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.replace(\"nan (nan)\", \"- (-)\")\n",
    "        df_sum = df_sum.rename(definition_dict, axis='columns')\n",
    "        df_sum.rename(columns={f'{definition_dict[definition]}':f'Latest Ethnicity-\\n{definition_dict[definition]}'}, inplace=True)\n",
    "        df_sum = df_sum.set_index(f'Latest Ethnicity-\\n{definition_dict[definition]}')\n",
    "        df_sum.columns = df_sum.columns.str.replace(\"_\", \" \")\n",
    "        \n",
    "        \n",
    "        display(df_sum)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Discussion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 525,
   "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 grouped as `mixed`. \n",
       "\n",
       "In OpenSAFELY ethnicity in primary care was originally grouped using the CTV3:2020 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 CTV3:2020 coded ethnicity with SUS data has been shown to provide ethnicity data for [90.6% of patients](https://wellcomeopenresearch.org/articles/7-191/v1), however could lead to inconsistent classification as SUS data follow the 2001 census groups. \n",
       "\n",
       "We believe that the SNOMED:2022 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 grouped as `mixed`. \n",
    "\n",
    "In OpenSAFELY ethnicity in primary care was originally grouped using the CTV3:2020 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 CTV3:2020 coded ethnicity with SUS data has been shown to provide ethnicity data for [90.6% of patients](https://wellcomeopenresearch.org/articles/7-191/v1), however could lead to inconsistent classification as SUS data follow the 2001 census groups. \n",
    "\n",
    "We believe that the SNOMED:2022 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": 526,
   "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": 527,
   "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 SNOMED:2022 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 SNOMED:2022 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": 528,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "## Technical details\n",
       "\n",
       "This notebook was run on 2022-11-03. 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": 529,
   "metadata": {},
   "outputs": [],
   "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": 530,
   "metadata": {},
   "outputs": [],
   "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"
   ]
  }
 ],
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