notebooks_jupyter/draft_report_ethnicity.ipynb

{
 "cells": [
  {
   "attachments": {},
   "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/). "
   ]
  },
  {
   "attachments": {},
   "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](#complete_cell)\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](#group_cell)\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](#changes_cell) \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](#frequent_cell)\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": 356,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 357,
   "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": 358,
   "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",
    "        ### uncomment to switch to proportion of recorded ethnicity instead of prop of TPP population\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",
    "        ### uncomment to switch to proportion of recorded ethnicity instead of prop of TPP population\n",
    "        # df_append.drop(\"population\", inplace=True, axis=1)\n",
    "        for definition in definitions:\n",
    "            ### uncomment to switch to proportion of recorded ethnicity instead of prop of TPP population\n",
    "            # df_append[f\"population_{definition}\"] = df_population[definition+\"_filled\"]\n",
    "        # ensure definitions[n] in code_dict[definitions[n]] below refers to one of the definitions of interest\n",
    "            full_definitions = [\n",
    "                f\"{category}_{definition}\"\n",
    "                for category, definition in product(\n",
    "                    code_dict[definitions[1]].values(), [definition]\n",
    "                )\n",
    "            ]\n",
    "            for full_definition in full_definitions:\n",
    "                if missing:\n",
    "                    \n",
    "                    df_append[full_definition + suffix] = (\n",
    "                        ### uncomment to switch to proportion of recorded ethnicity instead of prop of TPP population\n",
    "                        # df_append[f\"population_{definition}\"] - df_append[full_definition + \"_filled\"]\n",
    "                        df_append[f\"population\"] - df_append[full_definition + \"_filled\"]\n",
    "                    )  \n",
    "                ## uncomment to switch to proportion of recorded ethnicity instead of prop of TPP population    \n",
    "                df_append[full_definition + \"_pct\"] = round(\n",
    "                    (df_append[full_definition + suffix].div(df_append[f\"population\"])) * 100, 1\n",
    "                )\n",
    "                df_append[overlap + \"_pct\"] = round(\n",
    "                    (df_append[overlap].div(df_append[f\"population\"])) * 100, 1\n",
    "                )\n",
    "\n",
    "                # Combine count and percentage columns\n",
    "                df_append[full_definition] = (\n",
    "                    df_append[full_definition + suffix].apply(lambda x: \"{:,.0f}\".format(x))\n",
    "                    + \" (\"\n",
    "                    + df_append[full_definition + \"_pct\"].astype(str)\n",
    "                    + \")\"\n",
    "                )\n",
    "                df_append = df_append.drop(columns=[full_definition + suffix, full_definition + \"_pct\"])\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",
    "    if categories:\n",
    "        full_definitions = [\n",
    "                f\"{category}_{definition}\"\n",
    "                for category, definition in product(\n",
    "                    code_dict[definitions[1]].values(), definitions\n",
    "                )\n",
    "            ]\n",
    "        df_patient_counts = df_append[full_definitions]\n",
    "    else: \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",
    "        print(\" \\n\")\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": 359,
   "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": 360,
   "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"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='complete_cell'></a> \n",
    "\n",
    "### Completeness of ethnicity data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 361,
   "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": 362,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "Around 0.000255 million patients who have been registered in OpenSAFELY-TPP are identified in all three codelists. CTV3:2020 is the most well-populated with 0.00048 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": 363,
   "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>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>480 (73.8)</td>\n",
       "      <td>490 (75.4)</td>\n",
       "      <td>475 (73.1)</td>\n",
       "      <td>255 (39.2)</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>45 (75.0)</td>\n",
       "      <td>40 (66.7)</td>\n",
       "      <td>50 (83.3)</td>\n",
       "      <td>25 (41.7)</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20-29</th>\n",
       "      <td>75 (75.0)</td>\n",
       "      <td>70 (70.0)</td>\n",
       "      <td>75 (75.0)</td>\n",
       "      <td>40 (40.0)</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30-39</th>\n",
       "      <td>65 (68.4)</td>\n",
       "      <td>70 (73.7)</td>\n",
       "      <td>65 (68.4)</td>\n",
       "      <td>30 (31.6)</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40-49</th>\n",
       "      <td>60 (70.6)</td>\n",
       "      <td>65 (76.5)</td>\n",
       "      <td>55 (64.7)</td>\n",
       "      <td>25 (29.4)</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50-59</th>\n",
       "      <td>55 (73.3)</td>\n",
       "      <td>60 (80.0)</td>\n",
       "      <td>50 (66.7)</td>\n",
       "      <td>30 (40.0)</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60-69</th>\n",
       "      <td>70 (82.4)</td>\n",
       "      <td>65 (76.5)</td>\n",
       "      <td>70 (82.4)</td>\n",
       "      <td>45 (52.9)</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70-79</th>\n",
       "      <td>55 (73.3)</td>\n",
       "      <td>50 (66.7)</td>\n",
       "      <td>55 (73.3)</td>\n",
       "      <td>25 (33.3)</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80+</th>\n",
       "      <td>60 (80.0)</td>\n",
       "      <td>65 (86.7)</td>\n",
       "      <td>60 (80.0)</td>\n",
       "      <td>35 (46.7)</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
       "      <th>F</th>\n",
       "      <td>235 (75.8)</td>\n",
       "      <td>225 (72.6)</td>\n",
       "      <td>235 (75.8)</td>\n",
       "      <td>115 (37.1)</td>\n",
       "      <td>310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>250 (73.5)</td>\n",
       "      <td>265 (77.9)</td>\n",
       "      <td>245 (72.1)</td>\n",
       "      <td>140 (41.2)</td>\n",
       "      <td>340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">region</th>\n",
       "      <th>East Midlands</th>\n",
       "      <td>30 (66.7)</td>\n",
       "      <td>35 (77.8)</td>\n",
       "      <td>35 (77.8)</td>\n",
       "      <td>15 (33.3)</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East of England</th>\n",
       "      <td>25 (62.5)</td>\n",
       "      <td>30 (75.0)</td>\n",
       "      <td>25 (62.5)</td>\n",
       "      <td>15 (37.5)</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>London</th>\n",
       "      <td>65 (81.2)</td>\n",
       "      <td>60 (75.0)</td>\n",
       "      <td>60 (75.0)</td>\n",
       "      <td>35 (43.8)</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North East</th>\n",
       "      <td>30 (75.0)</td>\n",
       "      <td>30 (75.0)</td>\n",
       "      <td>30 (75.0)</td>\n",
       "      <td>15 (37.5)</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North West</th>\n",
       "      <td>20 (57.1)</td>\n",
       "      <td>30 (85.7)</td>\n",
       "      <td>30 (85.7)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South East</th>\n",
       "      <td>35 (77.8)</td>\n",
       "      <td>30 (66.7)</td>\n",
       "      <td>30 (66.7)</td>\n",
       "      <td>15 (33.3)</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South West</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>West Midlands</th>\n",
       "      <td>30 (75.0)</td>\n",
       "      <td>30 (75.0)</td>\n",
       "      <td>35 (87.5)</td>\n",
       "      <td>15 (37.5)</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yorkshire and the Humber</th>\n",
       "      <td>35 (77.8)</td>\n",
       "      <td>30 (66.7)</td>\n",
       "      <td>30 (66.7)</td>\n",
       "      <td>20 (44.4)</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>90 (72.0)</td>\n",
       "      <td>90 (72.0)</td>\n",
       "      <td>95 (76.0)</td>\n",
       "      <td>45 (36.0)</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>105 (77.8)</td>\n",
       "      <td>110 (81.5)</td>\n",
       "      <td>100 (74.1)</td>\n",
       "      <td>55 (40.7)</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>85 (73.9)</td>\n",
       "      <td>80 (69.6)</td>\n",
       "      <td>85 (73.9)</td>\n",
       "      <td>35 (30.4)</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>95 (76.0)</td>\n",
       "      <td>100 (80.0)</td>\n",
       "      <td>85 (68.0)</td>\n",
       "      <td>60 (48.0)</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 Least deprived</th>\n",
       "      <td>105 (72.4)</td>\n",
       "      <td>110 (75.9)</td>\n",
       "      <td>105 (72.4)</td>\n",
       "      <td>60 (41.4)</td>\n",
       "      <td>145</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>475 (73.6)</td>\n",
       "      <td>490 (76.0)</td>\n",
       "      <td>470 (72.9)</td>\n",
       "      <td>255 (39.5)</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\">diabetes</th>\n",
       "      <th>No</th>\n",
       "      <td>475 (74.2)</td>\n",
       "      <td>485 (75.8)</td>\n",
       "      <td>470 (73.4)</td>\n",
       "      <td>255 (39.8)</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\">hypertension</th>\n",
       "      <th>No</th>\n",
       "      <td>475 (73.6)</td>\n",
       "      <td>485 (75.2)</td>\n",
       "      <td>470 (72.9)</td>\n",
       "      <td>255 (39.5)</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>475 (73.6)</td>\n",
       "      <td>485 (75.2)</td>\n",
       "      <td>470 (72.9)</td>\n",
       "      <td>255 (39.5)</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                480 (73.8)  490 (75.4)   \n",
       "age_band            0-19                         45 (75.0)   40 (66.7)   \n",
       "                    20-29                        75 (75.0)   70 (70.0)   \n",
       "                    30-39                        65 (68.4)   70 (73.7)   \n",
       "                    40-49                        60 (70.6)   65 (76.5)   \n",
       "                    50-59                        55 (73.3)   60 (80.0)   \n",
       "                    60-69                        70 (82.4)   65 (76.5)   \n",
       "                    70-79                        55 (73.3)   50 (66.7)   \n",
       "                    80+                          60 (80.0)   65 (86.7)   \n",
       "sex                 F                           235 (75.8)  225 (72.6)   \n",
       "                    M                           250 (73.5)  265 (77.9)   \n",
       "region              East Midlands                30 (66.7)   35 (77.8)   \n",
       "                    East of England              25 (62.5)   30 (75.0)   \n",
       "                    London                       65 (81.2)   60 (75.0)   \n",
       "                    North East                   30 (75.0)   30 (75.0)   \n",
       "                    North West                   20 (57.1)   30 (85.7)   \n",
       "                    South East                   35 (77.8)   30 (66.7)   \n",
       "                    South West                   45 (81.8)   40 (72.7)   \n",
       "                    West Midlands                30 (75.0)   30 (75.0)   \n",
       "                    Yorkshire and the Humber     35 (77.8)   30 (66.7)   \n",
       "imd                 1 Most deprived              90 (72.0)   90 (72.0)   \n",
       "                    2                           105 (77.8)  110 (81.5)   \n",
       "                    3                            85 (73.9)   80 (69.6)   \n",
       "                    4                            95 (76.0)  100 (80.0)   \n",
       "                    5 Least deprived            105 (72.4)  110 (75.9)   \n",
       "                    Unknown                          - (-)       - (-)   \n",
       "dementia            No                          475 (73.6)  490 (76.0)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "diabetes            No                          475 (74.2)  485 (75.8)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "hypertension        No                          475 (73.6)  485 (75.2)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "learning_disability No                          475 (73.6)  485 (75.2)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "\n",
       "                                             5 PRIMIS:2021  all filled  \\\n",
       "group               subgroup                                             \n",
       "all                 with records                475 (73.1)  255 (39.2)   \n",
       "age_band            0-19                         50 (83.3)   25 (41.7)   \n",
       "                    20-29                        75 (75.0)   40 (40.0)   \n",
       "                    30-39                        65 (68.4)   30 (31.6)   \n",
       "                    40-49                        55 (64.7)   25 (29.4)   \n",
       "                    50-59                        50 (66.7)   30 (40.0)   \n",
       "                    60-69                        70 (82.4)   45 (52.9)   \n",
       "                    70-79                        55 (73.3)   25 (33.3)   \n",
       "                    80+                          60 (80.0)   35 (46.7)   \n",
       "sex                 F                           235 (75.8)  115 (37.1)   \n",
       "                    M                           245 (72.1)  140 (41.2)   \n",
       "region              East Midlands                35 (77.8)   15 (33.3)   \n",
       "                    East of England              25 (62.5)   15 (37.5)   \n",
       "                    London                       60 (75.0)   35 (43.8)   \n",
       "                    North East                   30 (75.0)   15 (37.5)   \n",
       "                    North West                   30 (85.7)   10 (28.6)   \n",
       "                    South East                   30 (66.7)   15 (33.3)   \n",
       "                    South West                   40 (72.7)   25 (45.5)   \n",
       "                    West Midlands                35 (87.5)   15 (37.5)   \n",
       "                    Yorkshire and the Humber     30 (66.7)   20 (44.4)   \n",
       "imd                 1 Most deprived              95 (76.0)   45 (36.0)   \n",
       "                    2                           100 (74.1)   55 (40.7)   \n",
       "                    3                            85 (73.9)   35 (30.4)   \n",
       "                    4                            85 (68.0)   60 (48.0)   \n",
       "                    5 Least deprived            105 (72.4)   60 (41.4)   \n",
       "                    Unknown                          - (-)       - (-)   \n",
       "dementia            No                          470 (72.9)  255 (39.5)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "diabetes            No                          470 (73.4)  255 (39.8)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "hypertension        No                          470 (72.9)  255 (39.5)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "learning_disability No                          470 (72.9)  255 (39.5)   \n",
       "                    Yes                              - (-)       - (-)   \n",
       "\n",
       "                                             population  \n",
       "group               subgroup                             \n",
       "all                 with records                    650  \n",
       "age_band            0-19                             60  \n",
       "                    20-29                           100  \n",
       "                    30-39                            95  \n",
       "                    40-49                            85  \n",
       "                    50-59                            75  \n",
       "                    60-69                            85  \n",
       "                    70-79                            75  \n",
       "                    80+                              75  \n",
       "sex                 F                               310  \n",
       "                    M                               340  \n",
       "region              East Midlands                    45  \n",
       "                    East of England                  40  \n",
       "                    London                           80  \n",
       "                    North East                       40  \n",
       "                    North West                       35  \n",
       "                    South East                       45  \n",
       "                    South West                       55  \n",
       "                    West Midlands                    40  \n",
       "                    Yorkshire and the Humber         45  \n",
       "imd                 1 Most deprived                 125  \n",
       "                    2                               135  \n",
       "                    3                               115  \n",
       "                    4                               125  \n",
       "                    5 Least deprived                145  \n",
       "                    Unknown                           -  \n",
       "dementia            No                              645  \n",
       "                    Yes                               -  \n",
       "diabetes            No                              640  \n",
       "                    Yes                              10  \n",
       "hypertension        No                              645  \n",
       "                    Yes                               -  \n",
       "learning_disability No                              645  \n",
       "                    Yes                               -  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    }
   ],
   "source": [
    "local_patient_counts(\n",
    "         definitions_5,  output_path_5\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='group_cell'></a> \n",
    "\n",
    "### Ethnicity by group"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5 Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 364,
   "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": 365,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "The SNOMED:2022 is the most well-populated codelist for `White` (285), `Mixed` (55), `Asian` (45) and `Black` (50) ethnicities. The CTV3:2020 codelist classifies more people as `Other` than the SNOMED:2022 codelist (115 and 50 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": 366,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "### Ethnicity by 5 group"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"### Ethnicity by 5 group\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 367,
   "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",
       "    </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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <th>with records</th>\n",
       "      <td>45 (6.9)</td>\n",
       "      <td>100 (15.4)</td>\n",
       "      <td>95 (14.6)</td>\n",
       "      <td>50 (7.7)</td>\n",
       "      <td>85 (13.1)</td>\n",
       "      <td>95 (14.6)</td>\n",
       "      <td>55 (8.5)</td>\n",
       "      <td>105 (16.2)</td>\n",
       "      <td>90 (13.8)</td>\n",
       "      <td>285 (43.8)</td>\n",
       "      <td>85 (13.1)</td>\n",
       "      <td>95 (14.6)</td>\n",
       "      <td>50 (7.7)</td>\n",
       "      <td>115 (17.7)</td>\n",
       "      <td>100 (15.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">age_band</th>\n",
       "      <th>0-19</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (25.0)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>25 (41.7)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (16.7)</td>\n",
       "      <td>15 (25.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20-29</th>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>45 (45.0)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "      <td>20 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (20.0)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30-39</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>35 (36.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>20 (21.1)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40-49</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>35 (41.2)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50-59</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>35 (46.7)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60-69</th>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>15 (17.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (17.6)</td>\n",
       "      <td>15 (17.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>45 (52.9)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>20 (23.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (17.6)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70-79</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>35 (46.7)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80+</th>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>20 (26.7)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>35 (46.7)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (20.0)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
       "      <th>F</th>\n",
       "      <td>25 (8.1)</td>\n",
       "      <td>45 (14.5)</td>\n",
       "      <td>45 (14.5)</td>\n",
       "      <td>20 (6.5)</td>\n",
       "      <td>40 (12.9)</td>\n",
       "      <td>50 (16.1)</td>\n",
       "      <td>25 (8.1)</td>\n",
       "      <td>50 (16.1)</td>\n",
       "      <td>45 (14.5)</td>\n",
       "      <td>135 (43.5)</td>\n",
       "      <td>35 (11.3)</td>\n",
       "      <td>45 (14.5)</td>\n",
       "      <td>25 (8.1)</td>\n",
       "      <td>55 (17.7)</td>\n",
       "      <td>50 (16.1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>25 (7.4)</td>\n",
       "      <td>50 (14.7)</td>\n",
       "      <td>50 (14.7)</td>\n",
       "      <td>25 (7.4)</td>\n",
       "      <td>45 (13.2)</td>\n",
       "      <td>45 (13.2)</td>\n",
       "      <td>25 (7.4)</td>\n",
       "      <td>55 (16.2)</td>\n",
       "      <td>45 (13.2)</td>\n",
       "      <td>150 (44.1)</td>\n",
       "      <td>50 (14.7)</td>\n",
       "      <td>55 (16.2)</td>\n",
       "      <td>20 (5.9)</td>\n",
       "      <td>60 (17.6)</td>\n",
       "      <td>50 (14.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">region</th>\n",
       "      <th>East Midlands</th>\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>10 (22.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (44.4)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (33.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>- (-)</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>10 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (37.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>London</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (12.5)</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>15 (18.8)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>40 (50.0)</td>\n",
       "      <td>15 (18.8)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (12.5)</td>\n",
       "      <td>15 (18.8)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North East</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (37.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North West</th>\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>10 (28.6)</td>\n",
       "      <td>15 (42.9)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South East</th>\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>10 (22.2)</td>\n",
       "      <td>20 (44.4)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South West</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (36.4)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>- (-)</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 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>20 (50.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yorkshire and the Humber</th>\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>20 (44.4)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">imd</th>\n",
       "      <th>1 Most deprived</th>\n",
       "      <td>10 (8.0)</td>\n",
       "      <td>15 (12.0)</td>\n",
       "      <td>20 (16.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (12.0)</td>\n",
       "      <td>15 (12.0)</td>\n",
       "      <td>10 (8.0)</td>\n",
       "      <td>20 (16.0)</td>\n",
       "      <td>15 (12.0)</td>\n",
       "      <td>60 (48.0)</td>\n",
       "      <td>10 (8.0)</td>\n",
       "      <td>20 (16.0)</td>\n",
       "      <td>10 (8.0)</td>\n",
       "      <td>25 (20.0)</td>\n",
       "      <td>25 (20.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15 (11.1)</td>\n",
       "      <td>20 (14.8)</td>\n",
       "      <td>20 (14.8)</td>\n",
       "      <td>10 (7.4)</td>\n",
       "      <td>20 (14.8)</td>\n",
       "      <td>25 (18.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (18.5)</td>\n",
       "      <td>15 (11.1)</td>\n",
       "      <td>65 (48.1)</td>\n",
       "      <td>20 (14.8)</td>\n",
       "      <td>20 (14.8)</td>\n",
       "      <td>10 (7.4)</td>\n",
       "      <td>30 (22.2)</td>\n",
       "      <td>20 (14.8)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>15 (13.0)</td>\n",
       "      <td>15 (13.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (13.0)</td>\n",
       "      <td>20 (17.4)</td>\n",
       "      <td>15 (13.0)</td>\n",
       "      <td>20 (17.4)</td>\n",
       "      <td>15 (13.0)</td>\n",
       "      <td>45 (39.1)</td>\n",
       "      <td>15 (13.0)</td>\n",
       "      <td>20 (17.4)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>15 (13.0)</td>\n",
       "      <td>20 (17.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (20.0)</td>\n",
       "      <td>15 (12.0)</td>\n",
       "      <td>10 (8.0)</td>\n",
       "      <td>20 (16.0)</td>\n",
       "      <td>15 (12.0)</td>\n",
       "      <td>15 (12.0)</td>\n",
       "      <td>20 (16.0)</td>\n",
       "      <td>15 (12.0)</td>\n",
       "      <td>50 (40.0)</td>\n",
       "      <td>15 (12.0)</td>\n",
       "      <td>20 (16.0)</td>\n",
       "      <td>10 (8.0)</td>\n",
       "      <td>25 (20.0)</td>\n",
       "      <td>20 (16.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 Least deprived</th>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>25 (17.2)</td>\n",
       "      <td>20 (13.8)</td>\n",
       "      <td>15 (10.3)</td>\n",
       "      <td>20 (13.8)</td>\n",
       "      <td>20 (13.8)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>25 (17.2)</td>\n",
       "      <td>30 (20.7)</td>\n",
       "      <td>65 (44.8)</td>\n",
       "      <td>25 (17.2)</td>\n",
       "      <td>20 (13.8)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>20 (13.8)</td>\n",
       "      <td>20 (13.8)</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">dementia</th>\n",
       "      <th>No</th>\n",
       "      <td>45 (7.0)</td>\n",
       "      <td>95 (14.7)</td>\n",
       "      <td>90 (14.0)</td>\n",
       "      <td>50 (7.8)</td>\n",
       "      <td>85 (13.2)</td>\n",
       "      <td>95 (14.7)</td>\n",
       "      <td>55 (8.5)</td>\n",
       "      <td>105 (16.3)</td>\n",
       "      <td>85 (13.2)</td>\n",
       "      <td>285 (44.2)</td>\n",
       "      <td>85 (13.2)</td>\n",
       "      <td>95 (14.7)</td>\n",
       "      <td>45 (7.0)</td>\n",
       "      <td>115 (17.8)</td>\n",
       "      <td>100 (15.5)</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">diabetes</th>\n",
       "      <th>No</th>\n",
       "      <td>45 (7.0)</td>\n",
       "      <td>95 (14.8)</td>\n",
       "      <td>90 (14.1)</td>\n",
       "      <td>50 (7.8)</td>\n",
       "      <td>85 (13.3)</td>\n",
       "      <td>95 (14.8)</td>\n",
       "      <td>50 (7.8)</td>\n",
       "      <td>105 (16.4)</td>\n",
       "      <td>85 (13.3)</td>\n",
       "      <td>280 (43.8)</td>\n",
       "      <td>85 (13.3)</td>\n",
       "      <td>95 (14.8)</td>\n",
       "      <td>45 (7.0)</td>\n",
       "      <td>115 (18.0)</td>\n",
       "      <td>100 (15.6)</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">hypertension</th>\n",
       "      <th>No</th>\n",
       "      <td>45 (7.0)</td>\n",
       "      <td>100 (15.5)</td>\n",
       "      <td>90 (14.0)</td>\n",
       "      <td>45 (7.0)</td>\n",
       "      <td>85 (13.2)</td>\n",
       "      <td>95 (14.7)</td>\n",
       "      <td>55 (8.5)</td>\n",
       "      <td>105 (16.3)</td>\n",
       "      <td>90 (14.0)</td>\n",
       "      <td>280 (43.4)</td>\n",
       "      <td>85 (13.2)</td>\n",
       "      <td>95 (14.7)</td>\n",
       "      <td>50 (7.8)</td>\n",
       "      <td>115 (17.8)</td>\n",
       "      <td>100 (15.5)</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">learning_disability</th>\n",
       "      <th>No</th>\n",
       "      <td>45 (7.0)</td>\n",
       "      <td>100 (15.5)</td>\n",
       "      <td>95 (14.7)</td>\n",
       "      <td>50 (7.8)</td>\n",
       "      <td>85 (13.2)</td>\n",
       "      <td>95 (14.7)</td>\n",
       "      <td>55 (8.5)</td>\n",
       "      <td>105 (16.3)</td>\n",
       "      <td>85 (13.2)</td>\n",
       "      <td>280 (43.4)</td>\n",
       "      <td>85 (13.2)</td>\n",
       "      <td>95 (14.7)</td>\n",
       "      <td>45 (7.0)</td>\n",
       "      <td>115 (17.8)</td>\n",
       "      <td>100 (15.5)</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Asian 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                        45 (6.9)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                              10 (10.0)   \n",
       "                    30-39                                  - (-)   \n",
       "                    40-49                                  - (-)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                              10 (11.8)   \n",
       "                    70-79                                  - (-)   \n",
       "                    80+                                10 (13.3)   \n",
       "sex                 F                                   25 (8.1)   \n",
       "                    M                                   25 (7.4)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                                 - (-)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    South West                             - (-)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                     10 (8.0)   \n",
       "                    2                                  15 (11.1)   \n",
       "                    3                                   10 (8.7)   \n",
       "                    4                                      - (-)   \n",
       "                    5 Least deprived                    10 (6.9)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                  45 (7.0)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                  45 (7.0)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                  45 (7.0)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                  45 (7.0)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Asian 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                    100 (15.4)   \n",
       "age_band            0-19                             15 (25.0)   \n",
       "                    20-29                            10 (10.0)   \n",
       "                    30-39                            20 (21.1)   \n",
       "                    40-49                            20 (23.5)   \n",
       "                    50-59                            10 (13.3)   \n",
       "                    60-69                            10 (11.8)   \n",
       "                    70-79                            10 (13.3)   \n",
       "                    80+                              10 (13.3)   \n",
       "sex                 F                                45 (14.5)   \n",
       "                    M                                50 (14.7)   \n",
       "region              East Midlands                        - (-)   \n",
       "                    East of England                      - (-)   \n",
       "                    London                           10 (12.5)   \n",
       "                    North East                       10 (25.0)   \n",
       "                    North West                           - (-)   \n",
       "                    South East                       10 (22.2)   \n",
       "                    South West                       10 (18.2)   \n",
       "                    West Midlands                        - (-)   \n",
       "                    Yorkshire and the Humber             - (-)   \n",
       "imd                 1 Most deprived                  15 (12.0)   \n",
       "                    2                                20 (14.8)   \n",
       "                    3                                15 (13.0)   \n",
       "                    4                                25 (20.0)   \n",
       "                    5 Least deprived                 25 (17.2)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            No                               95 (14.7)   \n",
       "                    Yes                                  - (-)   \n",
       "diabetes            No                               95 (14.8)   \n",
       "                    Yes                                  - (-)   \n",
       "hypertension        No                              100 (15.5)   \n",
       "                    Yes                                  - (-)   \n",
       "learning_disability No                              100 (15.5)   \n",
       "                    Yes                                  - (-)   \n",
       "\n",
       "                                             Asian 5 PRIMIS:2021  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                       95 (14.6)   \n",
       "age_band            0-19                               10 (16.7)   \n",
       "                    20-29                              15 (15.0)   \n",
       "                    30-39                              10 (10.5)   \n",
       "                    40-49                              10 (11.8)   \n",
       "                    50-59                              10 (13.3)   \n",
       "                    60-69                              15 (17.6)   \n",
       "                    70-79                              15 (20.0)   \n",
       "                    80+                                10 (13.3)   \n",
       "sex                 F                                  45 (14.5)   \n",
       "                    M                                  50 (14.7)   \n",
       "region              East Midlands                      10 (22.2)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                             10 (12.5)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    South West                         10 (18.2)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber           10 (22.2)   \n",
       "imd                 1 Most deprived                    20 (16.0)   \n",
       "                    2                                  20 (14.8)   \n",
       "                    3                                  15 (13.0)   \n",
       "                    4                                  15 (12.0)   \n",
       "                    5 Least deprived                   20 (13.8)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                 90 (14.0)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                 90 (14.1)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                 90 (14.0)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                 95 (14.7)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Black 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                        50 (7.7)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                                  - (-)   \n",
       "                    30-39                              10 (10.5)   \n",
       "                    40-49                                  - (-)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                                  - (-)   \n",
       "                    70-79                              10 (13.3)   \n",
       "                    80+                                    - (-)   \n",
       "sex                 F                                   20 (6.5)   \n",
       "                    M                                   25 (7.4)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                                 - (-)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    South West                             - (-)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                        - (-)   \n",
       "                    2                                   10 (7.4)   \n",
       "                    3                                      - (-)   \n",
       "                    4                                   10 (8.0)   \n",
       "                    5 Least deprived                   15 (10.3)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                  50 (7.8)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                  50 (7.8)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                  45 (7.0)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                  50 (7.8)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Black 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                     85 (13.1)   \n",
       "age_band            0-19                                 - (-)   \n",
       "                    20-29                            15 (15.0)   \n",
       "                    30-39                            15 (15.8)   \n",
       "                    40-49                            10 (11.8)   \n",
       "                    50-59                            10 (13.3)   \n",
       "                    60-69                            15 (17.6)   \n",
       "                    70-79                            10 (13.3)   \n",
       "                    80+                                  - (-)   \n",
       "sex                 F                                40 (12.9)   \n",
       "                    M                                45 (13.2)   \n",
       "region              East Midlands                        - (-)   \n",
       "                    East of England                      - (-)   \n",
       "                    London                           10 (12.5)   \n",
       "                    North East                           - (-)   \n",
       "                    North West                       10 (28.6)   \n",
       "                    South East                           - (-)   \n",
       "                    South West                       10 (18.2)   \n",
       "                    West Midlands                        - (-)   \n",
       "                    Yorkshire and the Humber             - (-)   \n",
       "imd                 1 Most deprived                  15 (12.0)   \n",
       "                    2                                20 (14.8)   \n",
       "                    3                                15 (13.0)   \n",
       "                    4                                20 (16.0)   \n",
       "                    5 Least deprived                 20 (13.8)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            No                               85 (13.2)   \n",
       "                    Yes                                  - (-)   \n",
       "diabetes            No                               85 (13.3)   \n",
       "                    Yes                                  - (-)   \n",
       "hypertension        No                               85 (13.2)   \n",
       "                    Yes                                  - (-)   \n",
       "learning_disability No                               85 (13.2)   \n",
       "                    Yes                                  - (-)   \n",
       "\n",
       "                                             Black 5 PRIMIS:2021  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                       95 (14.6)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                              15 (15.0)   \n",
       "                    30-39                              15 (15.8)   \n",
       "                    40-49                              10 (11.8)   \n",
       "                    50-59                              10 (13.3)   \n",
       "                    60-69                              15 (17.6)   \n",
       "                    70-79                              15 (20.0)   \n",
       "                    80+                                15 (20.0)   \n",
       "sex                 F                                  50 (16.1)   \n",
       "                    M                                  45 (13.2)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                             10 (12.5)   \n",
       "                    North East                         10 (25.0)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    South West                             - (-)   \n",
       "                    West Midlands                      10 (25.0)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                    15 (12.0)   \n",
       "                    2                                  25 (18.5)   \n",
       "                    3                                  20 (17.4)   \n",
       "                    4                                  15 (12.0)   \n",
       "                    5 Least deprived                   20 (13.8)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                 95 (14.7)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                 95 (14.8)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                 95 (14.7)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                 95 (14.7)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Mixed 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                        55 (8.5)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                              10 (10.0)   \n",
       "                    30-39                              10 (10.5)   \n",
       "                    40-49                                  - (-)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                                  - (-)   \n",
       "                    70-79                                  - (-)   \n",
       "                    80+                                10 (13.3)   \n",
       "sex                 F                                   25 (8.1)   \n",
       "                    M                                   25 (7.4)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                             10 (12.5)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    South West                             - (-)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                     10 (8.0)   \n",
       "                    2                                      - (-)   \n",
       "                    3                                  15 (13.0)   \n",
       "                    4                                  15 (12.0)   \n",
       "                    5 Least deprived                    10 (6.9)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                  55 (8.5)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                  50 (7.8)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                  55 (8.5)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                  55 (8.5)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Mixed 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                    105 (16.2)   \n",
       "age_band            0-19                                 - (-)   \n",
       "                    20-29                            15 (15.0)   \n",
       "                    30-39                            15 (15.8)   \n",
       "                    40-49                            10 (11.8)   \n",
       "                    50-59                            10 (13.3)   \n",
       "                    60-69                            20 (23.5)   \n",
       "                    70-79                            10 (13.3)   \n",
       "                    80+                              20 (26.7)   \n",
       "sex                 F                                50 (16.1)   \n",
       "                    M                                55 (16.2)   \n",
       "region              East Midlands                    10 (22.2)   \n",
       "                    East of England                  10 (25.0)   \n",
       "                    London                           15 (18.8)   \n",
       "                    North East                       10 (25.0)   \n",
       "                    North West                           - (-)   \n",
       "                    South East                           - (-)   \n",
       "                    South West                       10 (18.2)   \n",
       "                    West Midlands                    10 (25.0)   \n",
       "                    Yorkshire and the Humber             - (-)   \n",
       "imd                 1 Most deprived                  20 (16.0)   \n",
       "                    2                                25 (18.5)   \n",
       "                    3                                20 (17.4)   \n",
       "                    4                                20 (16.0)   \n",
       "                    5 Least deprived                 25 (17.2)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            No                              105 (16.3)   \n",
       "                    Yes                                  - (-)   \n",
       "diabetes            No                              105 (16.4)   \n",
       "                    Yes                                  - (-)   \n",
       "hypertension        No                              105 (16.3)   \n",
       "                    Yes                                  - (-)   \n",
       "learning_disability No                              105 (16.3)   \n",
       "                    Yes                                  - (-)   \n",
       "\n",
       "                                             Mixed 5 PRIMIS:2021  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                       90 (13.8)   \n",
       "age_band            0-19                               10 (16.7)   \n",
       "                    20-29                              10 (10.0)   \n",
       "                    30-39                              15 (15.8)   \n",
       "                    40-49                              10 (11.8)   \n",
       "                    50-59                              10 (13.3)   \n",
       "                    60-69                              10 (11.8)   \n",
       "                    70-79                                  - (-)   \n",
       "                    80+                                10 (13.3)   \n",
       "sex                 F                                  45 (14.5)   \n",
       "                    M                                  45 (13.2)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                             10 (12.5)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                         10 (28.6)   \n",
       "                    South East                         10 (22.2)   \n",
       "                    South West                             - (-)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                    15 (12.0)   \n",
       "                    2                                  15 (11.1)   \n",
       "                    3                                  15 (13.0)   \n",
       "                    4                                  15 (12.0)   \n",
       "                    5 Least deprived                   30 (20.7)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                 85 (13.2)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                 85 (13.3)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                 90 (14.0)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                 85 (13.2)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             White 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                      285 (43.8)   \n",
       "age_band            0-19                               25 (41.7)   \n",
       "                    20-29                              45 (45.0)   \n",
       "                    30-39                              35 (36.8)   \n",
       "                    40-49                              35 (41.2)   \n",
       "                    50-59                              35 (46.7)   \n",
       "                    60-69                              45 (52.9)   \n",
       "                    70-79                              35 (46.7)   \n",
       "                    80+                                35 (46.7)   \n",
       "sex                 F                                 135 (43.5)   \n",
       "                    M                                 150 (44.1)   \n",
       "region              East Midlands                      20 (44.4)   \n",
       "                    East of England                    15 (37.5)   \n",
       "                    London                             40 (50.0)   \n",
       "                    North East                         15 (37.5)   \n",
       "                    North West                         15 (42.9)   \n",
       "                    South East                         20 (44.4)   \n",
       "                    South West                         20 (36.4)   \n",
       "                    West Midlands                      20 (50.0)   \n",
       "                    Yorkshire and the Humber           20 (44.4)   \n",
       "imd                 1 Most deprived                    60 (48.0)   \n",
       "                    2                                  65 (48.1)   \n",
       "                    3                                  45 (39.1)   \n",
       "                    4                                  50 (40.0)   \n",
       "                    5 Least deprived                   65 (44.8)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                285 (44.2)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                280 (43.8)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                280 (43.4)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                280 (43.4)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             White 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                     85 (13.1)   \n",
       "age_band            0-19                             10 (16.7)   \n",
       "                    20-29                            15 (15.0)   \n",
       "                    30-39                                - (-)   \n",
       "                    40-49                            10 (11.8)   \n",
       "                    50-59                            15 (20.0)   \n",
       "                    60-69                            10 (11.8)   \n",
       "                    70-79                            15 (20.0)   \n",
       "                    80+                              10 (13.3)   \n",
       "sex                 F                                35 (11.3)   \n",
       "                    M                                50 (14.7)   \n",
       "region              East Midlands                        - (-)   \n",
       "                    East of England                      - (-)   \n",
       "                    London                           15 (18.8)   \n",
       "                    North East                           - (-)   \n",
       "                    North West                           - (-)   \n",
       "                    South East                           - (-)   \n",
       "                    South West                           - (-)   \n",
       "                    West Midlands                        - (-)   \n",
       "                    Yorkshire and the Humber             - (-)   \n",
       "imd                 1 Most deprived                   10 (8.0)   \n",
       "                    2                                20 (14.8)   \n",
       "                    3                                15 (13.0)   \n",
       "                    4                                15 (12.0)   \n",
       "                    5 Least deprived                 25 (17.2)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            No                               85 (13.2)   \n",
       "                    Yes                                  - (-)   \n",
       "diabetes            No                               85 (13.3)   \n",
       "                    Yes                                  - (-)   \n",
       "hypertension        No                               85 (13.2)   \n",
       "                    Yes                                  - (-)   \n",
       "learning_disability No                               85 (13.2)   \n",
       "                    Yes                                  - (-)   \n",
       "\n",
       "                                             White 5 PRIMIS:2021  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                       95 (14.6)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                              20 (20.0)   \n",
       "                    30-39                              15 (15.8)   \n",
       "                    40-49                              10 (11.8)   \n",
       "                    50-59                              10 (13.3)   \n",
       "                    60-69                              20 (23.5)   \n",
       "                    70-79                                  - (-)   \n",
       "                    80+                                10 (13.3)   \n",
       "sex                 F                                  45 (14.5)   \n",
       "                    M                                  55 (16.2)   \n",
       "region              East Midlands                      15 (33.3)   \n",
       "                    East of England                    10 (25.0)   \n",
       "                    London                             10 (12.5)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    South West                         10 (18.2)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                    20 (16.0)   \n",
       "                    2                                  20 (14.8)   \n",
       "                    3                                  20 (17.4)   \n",
       "                    4                                  20 (16.0)   \n",
       "                    5 Least deprived                   20 (13.8)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                 95 (14.7)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                 95 (14.8)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                 95 (14.7)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                 95 (14.7)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Other 5 SNOMED:2022  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                        50 (7.7)   \n",
       "age_band            0-19                                   - (-)   \n",
       "                    20-29                                  - (-)   \n",
       "                    30-39                              10 (10.5)   \n",
       "                    40-49                                  - (-)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                                  - (-)   \n",
       "                    70-79                                  - (-)   \n",
       "                    80+                                    - (-)   \n",
       "sex                 F                                   25 (8.1)   \n",
       "                    M                                   20 (5.9)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                                 - (-)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    South West                         10 (18.2)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                     10 (8.0)   \n",
       "                    2                                   10 (7.4)   \n",
       "                    3                                   10 (8.7)   \n",
       "                    4                                   10 (8.0)   \n",
       "                    5 Least deprived                    10 (6.9)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                  45 (7.0)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                  45 (7.0)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                  50 (7.8)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                  45 (7.0)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Other 5 CTV3:2020  \\\n",
       "group               subgroup                                     \n",
       "all                 with records                    115 (17.7)   \n",
       "age_band            0-19                             10 (16.7)   \n",
       "                    20-29                            20 (20.0)   \n",
       "                    30-39                            20 (21.1)   \n",
       "                    40-49                            20 (23.5)   \n",
       "                    50-59                            15 (20.0)   \n",
       "                    60-69                            15 (17.6)   \n",
       "                    70-79                            10 (13.3)   \n",
       "                    80+                              15 (20.0)   \n",
       "sex                 F                                55 (17.7)   \n",
       "                    M                                60 (17.6)   \n",
       "region              East Midlands                    10 (22.2)   \n",
       "                    East of England                      - (-)   \n",
       "                    London                           10 (12.5)   \n",
       "                    North East                           - (-)   \n",
       "                    North West                       10 (28.6)   \n",
       "                    South East                       10 (22.2)   \n",
       "                    South West                       10 (18.2)   \n",
       "                    West Midlands                    10 (25.0)   \n",
       "                    Yorkshire and the Humber         10 (22.2)   \n",
       "imd                 1 Most deprived                  25 (20.0)   \n",
       "                    2                                30 (22.2)   \n",
       "                    3                                15 (13.0)   \n",
       "                    4                                25 (20.0)   \n",
       "                    5 Least deprived                 20 (13.8)   \n",
       "                    Unknown                              - (-)   \n",
       "dementia            No                              115 (17.8)   \n",
       "                    Yes                                  - (-)   \n",
       "diabetes            No                              115 (18.0)   \n",
       "                    Yes                                  - (-)   \n",
       "hypertension        No                              115 (17.8)   \n",
       "                    Yes                                  - (-)   \n",
       "learning_disability No                              115 (17.8)   \n",
       "                    Yes                                  - (-)   \n",
       "\n",
       "                                             Other 5 PRIMIS:2021  \n",
       "group               subgroup                                      \n",
       "all                 with records                      100 (15.4)  \n",
       "age_band            0-19                               15 (25.0)  \n",
       "                    20-29                              15 (15.0)  \n",
       "                    30-39                              10 (10.5)  \n",
       "                    40-49                              10 (11.8)  \n",
       "                    50-59                              15 (20.0)  \n",
       "                    60-69                              10 (11.8)  \n",
       "                    70-79                              15 (20.0)  \n",
       "                    80+                                10 (13.3)  \n",
       "sex                 F                                  50 (16.1)  \n",
       "                    M                                  50 (14.7)  \n",
       "region              East Midlands                          - (-)  \n",
       "                    East of England                        - (-)  \n",
       "                    London                             15 (18.8)  \n",
       "                    North East                         10 (25.0)  \n",
       "                    North West                         10 (28.6)  \n",
       "                    South East                             - (-)  \n",
       "                    South West                             - (-)  \n",
       "                    West Midlands                      10 (25.0)  \n",
       "                    Yorkshire and the Humber               - (-)  \n",
       "imd                 1 Most deprived                    25 (20.0)  \n",
       "                    2                                  20 (14.8)  \n",
       "                    3                                  20 (17.4)  \n",
       "                    4                                  20 (16.0)  \n",
       "                    5 Least deprived                   20 (13.8)  \n",
       "                    Unknown                                - (-)  \n",
       "dementia            No                                100 (15.5)  \n",
       "                    Yes                                    - (-)  \n",
       "diabetes            No                                100 (15.6)  \n",
       "                    Yes                                    - (-)  \n",
       "hypertension        No                                100 (15.5)  \n",
       "                    Yes                                    - (-)  \n",
       "learning_disability No                                100 (15.5)  \n",
       "                    Yes                                    - (-)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    }
   ],
   "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": 368,
   "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": 369,
   "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  (30) and for `Any other ethnic group` the CTV3:2020 codelist is most well populated (30) . \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_16_filled\"][0])))}) . \n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "##### Ethnicity by 16 group"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"##### Ethnicity by 16 group\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "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",
       "    </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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <th>with records</th>\n",
       "      <td>25 (3.8)</td>\n",
       "      <td>45 (6.9)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>25 (3.8)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>20 (3.1)</td>\n",
       "      <td>25 (3.8)</td>\n",
       "      <td>25 (3.8)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>25 (3.8)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>25 (3.8)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>25 (3.8)</td>\n",
       "      <td>25 (3.8)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>20 (3.1)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>25 (3.8)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>25 (3.8)</td>\n",
       "      <td>25 (3.8)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>25 (3.8)</td>\n",
       "      <td>25 (3.8)</td>\n",
       "      <td>30 (4.6)</td>\n",
       "      <td>35 (5.4)</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 (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>- (-)</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>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20-29</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</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>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>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</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>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>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50-59</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>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>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <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>60-69</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</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>10 (13.3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80+</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <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\">sex</th>\n",
       "      <th>F</th>\n",
       "      <td>10 (2.8)</td>\n",
       "      <td>25 (7.0)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>10 (2.8)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>10 (2.8)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>10 (2.8)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>25 (7.0)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>10 (2.8)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>25 (7.0)</td>\n",
       "      <td>10 (2.8)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>10 (2.8)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>15 (4.2)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "      <td>20 (5.6)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>20 (6.8)</td>\n",
       "      <td>25 (8.5)</td>\n",
       "      <td>20 (6.8)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>20 (6.8)</td>\n",
       "      <td>20 (6.8)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>20 (6.8)</td>\n",
       "      <td>20 (6.8)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>20 (6.8)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>20 (6.8)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>20 (6.8)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>10 (3.4)</td>\n",
       "      <td>15 (5.1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" 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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>London</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (13.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</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",
       "    </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",
       "    </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>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <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>South 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",
       "    </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",
       "    </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",
       "    </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>10 (9.1)</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 (9.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (9.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <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>2</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.7)</td>\n",
       "      <td>10 (7.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.7)</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>10 (7.7)</td>\n",
       "      <td>10 (7.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.7)</td>\n",
       "      <td>10 (7.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (11.5)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (6.9)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>15 (10.7)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>10 (7.1)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 Least deprived</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (8.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">dementia</th>\n",
       "      <th>No</th>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>45 (7.0)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>20 (3.1)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>20 (3.1)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>35 (5.4)</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">diabetes</th>\n",
       "      <th>No</th>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>45 (7.0)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>20 (3.1)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>20 (3.1)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>20 (3.1)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>35 (5.4)</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">hypertension</th>\n",
       "      <th>No</th>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>45 (7.0)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>20 (3.1)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>20 (3.1)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>35 (5.4)</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">learning_disability</th>\n",
       "      <th>No</th>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>45 (7.0)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>20 (3.1)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>20 (3.1)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>40 (6.2)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>35 (5.4)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>25 (3.9)</td>\n",
       "      <td>30 (4.7)</td>\n",
       "      <td>35 (5.4)</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Indian 16 SNOMED:2022  \\\n",
       "group               subgroup                                         \n",
       "all                 with records                          25 (3.8)   \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 (2.8)   \n",
       "                    M                                     15 (5.1)   \n",
       "region              East Midlands                            - (-)   \n",
       "                    East of England                          - (-)   \n",
       "                    London                                   - (-)   \n",
       "                    North East                               - (-)   \n",
       "                    North West                               - (-)   \n",
       "                    South East                               - (-)   \n",
       "                    South West                               - (-)   \n",
       "                    West Midlands                            - (-)   \n",
       "                    Yorkshire and the Humber                 - (-)   \n",
       "imd                 1 Most deprived                          - (-)   \n",
       "                    2                                        - (-)   \n",
       "                    3                                        - (-)   \n",
       "                    4                                     10 (7.1)   \n",
       "                    5 Least deprived                         - (-)   \n",
       "                    Unknown                                  - (-)   \n",
       "dementia            No                                    25 (3.9)   \n",
       "                    Yes                                      - (-)   \n",
       "diabetes            No                                    25 (3.9)   \n",
       "                    Yes                                      - (-)   \n",
       "hypertension        No                                    25 (3.9)   \n",
       "                    Yes                                      - (-)   \n",
       "learning_disability No                                    25 (3.9)   \n",
       "                    Yes                                      - (-)   \n",
       "\n",
       "                                             Indian 16 CTV3:2020  \\\n",
       "group               subgroup                                       \n",
       "all                 with records                        45 (6.9)   \n",
       "age_band            0-19                               10 (15.4)   \n",
       "                    20-29                                  - (-)   \n",
       "                    30-39                                  - (-)   \n",
       "                    40-49                                  - (-)   \n",
       "                    50-59                                  - (-)   \n",
       "                    60-69                                  - (-)   \n",
       "                    70-79                                  - (-)   \n",
       "                    80+                                    - (-)   \n",
       "sex                 F                                   25 (7.0)   \n",
       "                    M                                   20 (6.8)   \n",
       "region              East Midlands                          - (-)   \n",
       "                    East of England                        - (-)   \n",
       "                    London                                 - (-)   \n",
       "                    North East                             - (-)   \n",
       "                    North West                             - (-)   \n",
       "                    South East                             - (-)   \n",
       "                    South West                             - (-)   \n",
       "                    West Midlands                          - (-)   \n",
       "                    Yorkshire and the Humber               - (-)   \n",
       "imd                 1 Most deprived                        - (-)   \n",
       "                    2                                   10 (7.7)   \n",
       "                    3                                      - (-)   \n",
       "                    4                                  15 (10.7)   \n",
       "                    5 Least deprived                       - (-)   \n",
       "                    Unknown                                - (-)   \n",
       "dementia            No                                  45 (7.0)   \n",
       "                    Yes                                    - (-)   \n",
       "diabetes            No                                  45 (7.0)   \n",
       "                    Yes                                    - (-)   \n",
       "hypertension        No                                  45 (7.0)   \n",
       "                    Yes                                    - (-)   \n",
       "learning_disability No                                  45 (7.0)   \n",
       "                    Yes                                    - (-)   \n",
       "\n",
       "                                             Indian 16 PRIMIS:2021  \\\n",
       "group               subgroup                                         \n",
       "all                 with records                          40 (6.2)   \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+                                      - (-)   \n",
       "sex                 F                                     15 (4.2)   \n",
       "                    M                                     25 (8.5)   \n",
       "region              East Midlands                            - (-)   \n",
       "                    East of England                          - (-)   \n",
       "                    London                                   - (-)   \n",
       "                    North East                               - (-)   \n",
       "                    North West                               - (-)   \n",
       "                    South East                               - (-)   \n",
       "                    South West                               - (-)   \n",
       "                    West Midlands                            - (-)   \n",
       "                    Yorkshire and the Humber                 - (-)   \n",
       "imd                 1 Most deprived                       10 (9.1)   \n",
       "                    2                                     10 (7.7)   \n",
       "                    3                                        - (-)   \n",
       "                    4                                     10 (7.1)   \n",
       "                    5 Least deprived                      10 (8.3)   \n",
       "                    Unknown                                  - (-)   \n",
       "dementia            No                                    40 (6.2)   \n",
       "                    Yes                                      - (-)   \n",
       "diabetes            No                                    40 (6.2)   \n",
       "                    Yes                                      - (-)   \n",
       "hypertension        No                                    40 (6.2)   \n",
       "                    Yes                                      - (-)   \n",
       "learning_disability No                                    40 (6.2)   \n",
       "                    Yes                                      - (-)   \n",
       "\n",
       "                                             Pakistani 16 SNOMED:2022  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             35 (5.4)   \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 (4.2)   \n",
       "                    M                                        20 (6.8)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    South West                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                           - (-)   \n",
       "                    3                                        10 (6.9)   \n",
       "                    4                                        10 (7.1)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Pakistani 16 CTV3:2020  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           25 (3.8)   \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 (2.8)   \n",
       "                    M                                      15 (5.1)   \n",
       "region              East Midlands                             - (-)   \n",
       "                    East of England                           - (-)   \n",
       "                    London                                    - (-)   \n",
       "                    North East                                - (-)   \n",
       "                    North West                                - (-)   \n",
       "                    South East                                - (-)   \n",
       "                    South West                                - (-)   \n",
       "                    West Midlands                             - (-)   \n",
       "                    Yorkshire and the Humber                  - (-)   \n",
       "imd                 1 Most deprived                           - (-)   \n",
       "                    2                                         - (-)   \n",
       "                    3                                         - (-)   \n",
       "                    4                                      10 (7.1)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "diabetes            No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "hypertension        No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "learning_disability No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "\n",
       "                                             Pakistani 16 PRIMIS:2021  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             30 (4.6)   \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 (4.2)   \n",
       "                    M                                        15 (5.1)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    South West                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                        10 (7.7)   \n",
       "                    3                                        10 (6.9)   \n",
       "                    4                                           - (-)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       30 (4.7)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       30 (4.7)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       30 (4.7)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       30 (4.7)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Bangladeshi 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (4.6)   \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 (5.6)   \n",
       "                    M                                          10 (3.4)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                    10 (13.3)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    South West                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                          10 (6.9)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         30 (4.7)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         30 (4.7)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         30 (4.7)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         30 (4.7)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Bangladeshi 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             20 (3.1)   \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 (2.8)   \n",
       "                    M                                        10 (3.4)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    South West                                  - (-)   \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 (3.1)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       20 (3.1)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       20 (3.1)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       20 (3.1)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Bangladeshi 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               25 (3.8)   \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 (4.2)   \n",
       "                    M                                          10 (3.4)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    South West                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                          10 (6.9)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Other Asian 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               25 (3.8)   \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 (4.2)   \n",
       "                    M                                          10 (3.4)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    South West                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                          10 (6.9)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Other Asian 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             35 (5.4)   \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 (4.2)   \n",
       "                    M                                        20 (6.8)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    South West                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                          10 (9.1)   \n",
       "                    2                                           - (-)   \n",
       "                    3                                        10 (6.9)   \n",
       "                    4                                           - (-)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Other Asian 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               35 (5.4)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                     10 (11.8)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          15 (4.2)   \n",
       "                    M                                          20 (6.8)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    South West                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                          10 (7.7)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Caribbean 16 SNOMED:2022  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             30 (4.6)   \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 (5.6)   \n",
       "                    M                                        10 (3.4)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    South West                                  - (-)   \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 (4.7)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       30 (4.7)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       25 (3.9)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       30 (4.7)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Caribbean 16 CTV3:2020  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           25 (3.8)   \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 (2.8)   \n",
       "                    M                                      15 (5.1)   \n",
       "region              East Midlands                             - (-)   \n",
       "                    East of England                           - (-)   \n",
       "                    London                                    - (-)   \n",
       "                    North East                                - (-)   \n",
       "                    North West                                - (-)   \n",
       "                    South East                                - (-)   \n",
       "                    South West                                - (-)   \n",
       "                    West Midlands                             - (-)   \n",
       "                    Yorkshire and the Humber                  - (-)   \n",
       "imd                 1 Most deprived                           - (-)   \n",
       "                    2                                         - (-)   \n",
       "                    3                                         - (-)   \n",
       "                    4                                         - (-)   \n",
       "                    5 Least deprived                       10 (8.3)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "diabetes            No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "hypertension        No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "learning_disability No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "\n",
       "                                             Caribbean 16 PRIMIS:2021  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             35 (5.4)   \n",
       "age_band            0-19                                        - (-)   \n",
       "                    20-29                                       - (-)   \n",
       "                    30-39                                   10 (11.8)   \n",
       "                    40-49                                       - (-)   \n",
       "                    50-59                                       - (-)   \n",
       "                    60-69                                       - (-)   \n",
       "                    70-79                                       - (-)   \n",
       "                    80+                                         - (-)   \n",
       "sex                 F                                        20 (5.6)   \n",
       "                    M                                        15 (5.1)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    South West                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                           - (-)   \n",
       "                    3                                        10 (6.9)   \n",
       "                    4                                        10 (7.1)   \n",
       "                    5 Least deprived                         10 (8.3)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       30 (4.7)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             African 16 SNOMED:2022  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           30 (4.6)   \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 (5.6)   \n",
       "                    M                                      10 (3.4)   \n",
       "region              East Midlands                             - (-)   \n",
       "                    East of England                           - (-)   \n",
       "                    London                                    - (-)   \n",
       "                    North East                                - (-)   \n",
       "                    North West                                - (-)   \n",
       "                    South East                                - (-)   \n",
       "                    South West                                - (-)   \n",
       "                    West Midlands                             - (-)   \n",
       "                    Yorkshire and the Humber                  - (-)   \n",
       "imd                 1 Most deprived                        10 (9.1)   \n",
       "                    2                                         - (-)   \n",
       "                    3                                         - (-)   \n",
       "                    4                                         - (-)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            No                                     30 (4.7)   \n",
       "                    Yes                                       - (-)   \n",
       "diabetes            No                                     30 (4.7)   \n",
       "                    Yes                                       - (-)   \n",
       "hypertension        No                                     30 (4.7)   \n",
       "                    Yes                                       - (-)   \n",
       "learning_disability No                                     30 (4.7)   \n",
       "                    Yes                                       - (-)   \n",
       "\n",
       "                                             African 16 CTV3:2020  \\\n",
       "group               subgroup                                        \n",
       "all                 with records                         30 (4.6)   \n",
       "age_band            0-19                                    - (-)   \n",
       "                    20-29                                   - (-)   \n",
       "                    30-39                               10 (11.8)   \n",
       "                    40-49                                   - (-)   \n",
       "                    50-59                                   - (-)   \n",
       "                    60-69                                   - (-)   \n",
       "                    70-79                                   - (-)   \n",
       "                    80+                                     - (-)   \n",
       "sex                 F                                    15 (4.2)   \n",
       "                    M                                    15 (5.1)   \n",
       "region              East Midlands                           - (-)   \n",
       "                    East of England                         - (-)   \n",
       "                    London                                  - (-)   \n",
       "                    North East                              - (-)   \n",
       "                    North West                              - (-)   \n",
       "                    South East                              - (-)   \n",
       "                    South West                              - (-)   \n",
       "                    West Midlands                           - (-)   \n",
       "                    Yorkshire and the Humber                - (-)   \n",
       "imd                 1 Most deprived                      10 (9.1)   \n",
       "                    2                                       - (-)   \n",
       "                    3                                       - (-)   \n",
       "                    4                                       - (-)   \n",
       "                    5 Least deprived                        - (-)   \n",
       "                    Unknown                                 - (-)   \n",
       "dementia            No                                   30 (4.7)   \n",
       "                    Yes                                     - (-)   \n",
       "diabetes            No                                   30 (4.7)   \n",
       "                    Yes                                     - (-)   \n",
       "hypertension        No                                   30 (4.7)   \n",
       "                    Yes                                     - (-)   \n",
       "learning_disability No                                   30 (4.7)   \n",
       "                    Yes                                     - (-)   \n",
       "\n",
       "                                             African 16 PRIMIS:2021  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           25 (3.8)   \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 (4.2)   \n",
       "                    M                                      10 (3.4)   \n",
       "region              East Midlands                             - (-)   \n",
       "                    East of England                           - (-)   \n",
       "                    London                                    - (-)   \n",
       "                    North East                                - (-)   \n",
       "                    North West                                - (-)   \n",
       "                    South East                                - (-)   \n",
       "                    South West                                - (-)   \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 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "diabetes            No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "hypertension        No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "learning_disability No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "\n",
       "                                             Other Black 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (4.6)   \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 (5.6)   \n",
       "                    M                                          10 (3.4)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    South West                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                            10 (9.1)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         30 (4.7)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         30 (4.7)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         30 (4.7)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         30 (4.7)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Other Black 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             30 (4.6)   \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 (5.6)   \n",
       "                    M                                        10 (3.4)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    South West                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                           - (-)   \n",
       "                    3                                           - (-)   \n",
       "                    4                                        10 (7.1)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       30 (4.7)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       30 (4.7)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       30 (4.7)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       30 (4.7)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Other Black 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               30 (4.6)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                     10 (11.8)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          15 (4.2)   \n",
       "                    M                                          20 (6.8)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    South West                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                          10 (6.9)   \n",
       "                    4                                          10 (7.1)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         30 (4.7)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         30 (4.7)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         30 (4.7)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         30 (4.7)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             White and Black Caribbean 16 SNOMED:2022  \\\n",
       "group               subgroup                                                            \n",
       "all                 with records                                             35 (5.4)   \n",
       "age_band            0-19                                                        - (-)   \n",
       "                    20-29                                                       - (-)   \n",
       "                    30-39                                                       - (-)   \n",
       "                    40-49                                                   10 (11.8)   \n",
       "                    50-59                                                       - (-)   \n",
       "                    60-69                                                       - (-)   \n",
       "                    70-79                                                       - (-)   \n",
       "                    80+                                                         - (-)   \n",
       "sex                 F                                                        20 (5.6)   \n",
       "                    M                                                        20 (6.8)   \n",
       "region              East Midlands                                               - (-)   \n",
       "                    East of England                                             - (-)   \n",
       "                    London                                                  10 (13.3)   \n",
       "                    North East                                                  - (-)   \n",
       "                    North West                                                  - (-)   \n",
       "                    South East                                                  - (-)   \n",
       "                    South West                                                  - (-)   \n",
       "                    West Midlands                                               - (-)   \n",
       "                    Yorkshire and the Humber                                    - (-)   \n",
       "imd                 1 Most deprived                                             - (-)   \n",
       "                    2                                                           - (-)   \n",
       "                    3                                                        10 (6.9)   \n",
       "                    4                                                        10 (7.1)   \n",
       "                    5 Least deprived                                            - (-)   \n",
       "                    Unknown                                                     - (-)   \n",
       "dementia            No                                                       35 (5.4)   \n",
       "                    Yes                                                         - (-)   \n",
       "diabetes            No                                                       35 (5.4)   \n",
       "                    Yes                                                         - (-)   \n",
       "hypertension        No                                                       35 (5.4)   \n",
       "                    Yes                                                         - (-)   \n",
       "learning_disability No                                                       35 (5.4)   \n",
       "                    Yes                                                         - (-)   \n",
       "\n",
       "                                             White and Black Caribbean 16 CTV3:2020  \\\n",
       "group               subgroup                                                          \n",
       "all                 with records                                           40 (6.2)   \n",
       "age_band            0-19                                                      - (-)   \n",
       "                    20-29                                                     - (-)   \n",
       "                    30-39                                                     - (-)   \n",
       "                    40-49                                                     - (-)   \n",
       "                    50-59                                                 10 (12.5)   \n",
       "                    60-69                                                     - (-)   \n",
       "                    70-79                                                     - (-)   \n",
       "                    80+                                                       - (-)   \n",
       "sex                 F                                                      25 (7.0)   \n",
       "                    M                                                      15 (5.1)   \n",
       "region              East Midlands                                             - (-)   \n",
       "                    East of England                                           - (-)   \n",
       "                    London                                                    - (-)   \n",
       "                    North East                                                - (-)   \n",
       "                    North West                                                - (-)   \n",
       "                    South East                                                - (-)   \n",
       "                    South West                                                - (-)   \n",
       "                    West Midlands                                             - (-)   \n",
       "                    Yorkshire and the Humber                                  - (-)   \n",
       "imd                 1 Most deprived                                           - (-)   \n",
       "                    2                                                      10 (7.7)   \n",
       "                    3                                                      10 (6.9)   \n",
       "                    4                                                         - (-)   \n",
       "                    5 Least deprived                                       10 (8.3)   \n",
       "                    Unknown                                                   - (-)   \n",
       "dementia            No                                                     40 (6.2)   \n",
       "                    Yes                                                       - (-)   \n",
       "diabetes            No                                                     40 (6.2)   \n",
       "                    Yes                                                       - (-)   \n",
       "hypertension        No                                                     40 (6.2)   \n",
       "                    Yes                                                       - (-)   \n",
       "learning_disability No                                                     40 (6.2)   \n",
       "                    Yes                                                       - (-)   \n",
       "\n",
       "                                             White and Black Caribbean 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                            \n",
       "all                 with records                                             30 (4.6)   \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 (4.2)   \n",
       "                    M                                                        15 (5.1)   \n",
       "region              East Midlands                                               - (-)   \n",
       "                    East of England                                             - (-)   \n",
       "                    London                                                      - (-)   \n",
       "                    North East                                                  - (-)   \n",
       "                    North West                                                  - (-)   \n",
       "                    South East                                                  - (-)   \n",
       "                    South West                                                  - (-)   \n",
       "                    West Midlands                                               - (-)   \n",
       "                    Yorkshire and the Humber                                    - (-)   \n",
       "imd                 1 Most deprived                                             - (-)   \n",
       "                    2                                                        10 (7.7)   \n",
       "                    3                                                        10 (6.9)   \n",
       "                    4                                                           - (-)   \n",
       "                    5 Least deprived                                            - (-)   \n",
       "                    Unknown                                                     - (-)   \n",
       "dementia            No                                                       30 (4.7)   \n",
       "                    Yes                                                         - (-)   \n",
       "diabetes            No                                                       30 (4.7)   \n",
       "                    Yes                                                         - (-)   \n",
       "hypertension        No                                                       30 (4.7)   \n",
       "                    Yes                                                         - (-)   \n",
       "learning_disability No                                                       30 (4.7)   \n",
       "                    Yes                                                         - (-)   \n",
       "\n",
       "                                             White and Black African 16 SNOMED:2022  \\\n",
       "group               subgroup                                                          \n",
       "all                 with records                                           30 (4.6)   \n",
       "age_band            0-19                                                  10 (15.4)   \n",
       "                    20-29                                                     - (-)   \n",
       "                    30-39                                                     - (-)   \n",
       "                    40-49                                                     - (-)   \n",
       "                    50-59                                                     - (-)   \n",
       "                    60-69                                                     - (-)   \n",
       "                    70-79                                                     - (-)   \n",
       "                    80+                                                       - (-)   \n",
       "sex                 F                                                      15 (4.2)   \n",
       "                    M                                                      10 (3.4)   \n",
       "region              East Midlands                                             - (-)   \n",
       "                    East of England                                           - (-)   \n",
       "                    London                                                    - (-)   \n",
       "                    North East                                                - (-)   \n",
       "                    North West                                                - (-)   \n",
       "                    South East                                                - (-)   \n",
       "                    South West                                                - (-)   \n",
       "                    West Midlands                                             - (-)   \n",
       "                    Yorkshire and the Humber                                  - (-)   \n",
       "imd                 1 Most deprived                                           - (-)   \n",
       "                    2                                                         - (-)   \n",
       "                    3                                                      10 (6.9)   \n",
       "                    4                                                      10 (7.1)   \n",
       "                    5 Least deprived                                          - (-)   \n",
       "                    Unknown                                                   - (-)   \n",
       "dementia            No                                                     30 (4.7)   \n",
       "                    Yes                                                       - (-)   \n",
       "diabetes            No                                                     30 (4.7)   \n",
       "                    Yes                                                       - (-)   \n",
       "hypertension        No                                                     30 (4.7)   \n",
       "                    Yes                                                       - (-)   \n",
       "learning_disability No                                                     30 (4.7)   \n",
       "                    Yes                                                       - (-)   \n",
       "\n",
       "                                             White and Black African 16 CTV3:2020  \\\n",
       "group               subgroup                                                        \n",
       "all                 with records                                         25 (3.8)   \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 (4.2)   \n",
       "                    M                                                    15 (5.1)   \n",
       "region              East Midlands                                           - (-)   \n",
       "                    East of England                                         - (-)   \n",
       "                    London                                                  - (-)   \n",
       "                    North East                                              - (-)   \n",
       "                    North West                                              - (-)   \n",
       "                    South East                                              - (-)   \n",
       "                    South West                                              - (-)   \n",
       "                    West Midlands                                           - (-)   \n",
       "                    Yorkshire and the Humber                                - (-)   \n",
       "imd                 1 Most deprived                                      10 (9.1)   \n",
       "                    2                                                       - (-)   \n",
       "                    3                                                       - (-)   \n",
       "                    4                                                       - (-)   \n",
       "                    5 Least deprived                                        - (-)   \n",
       "                    Unknown                                                 - (-)   \n",
       "dementia            No                                                   25 (3.9)   \n",
       "                    Yes                                                     - (-)   \n",
       "diabetes            No                                                   25 (3.9)   \n",
       "                    Yes                                                     - (-)   \n",
       "hypertension        No                                                   25 (3.9)   \n",
       "                    Yes                                                     - (-)   \n",
       "learning_disability No                                                   25 (3.9)   \n",
       "                    Yes                                                     - (-)   \n",
       "\n",
       "                                             White and Black African 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                          \n",
       "all                 with records                                           25 (3.8)   \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 (4.2)   \n",
       "                    M                                                      10 (3.4)   \n",
       "region              East Midlands                                             - (-)   \n",
       "                    East of England                                           - (-)   \n",
       "                    London                                                    - (-)   \n",
       "                    North East                                                - (-)   \n",
       "                    North West                                                - (-)   \n",
       "                    South East                                                - (-)   \n",
       "                    South West                                                - (-)   \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 (3.9)   \n",
       "                    Yes                                                       - (-)   \n",
       "diabetes            No                                                     25 (3.9)   \n",
       "                    Yes                                                       - (-)   \n",
       "hypertension        No                                                     25 (3.9)   \n",
       "                    Yes                                                       - (-)   \n",
       "learning_disability No                                                     25 (3.9)   \n",
       "                    Yes                                                       - (-)   \n",
       "\n",
       "                                             White and Asian 16 SNOMED:2022  \\\n",
       "group               subgroup                                                  \n",
       "all                 with records                                   30 (4.6)   \n",
       "age_band            0-19                                              - (-)   \n",
       "                    20-29                                         10 (10.5)   \n",
       "                    30-39                                             - (-)   \n",
       "                    40-49                                             - (-)   \n",
       "                    50-59                                             - (-)   \n",
       "                    60-69                                             - (-)   \n",
       "                    70-79                                             - (-)   \n",
       "                    80+                                               - (-)   \n",
       "sex                 F                                              15 (4.2)   \n",
       "                    M                                              15 (5.1)   \n",
       "region              East Midlands                                     - (-)   \n",
       "                    East of England                                   - (-)   \n",
       "                    London                                            - (-)   \n",
       "                    North East                                        - (-)   \n",
       "                    North West                                        - (-)   \n",
       "                    South East                                        - (-)   \n",
       "                    South West                                        - (-)   \n",
       "                    West Midlands                                     - (-)   \n",
       "                    Yorkshire and the Humber                          - (-)   \n",
       "imd                 1 Most deprived                                   - (-)   \n",
       "                    2                                                 - (-)   \n",
       "                    3                                                 - (-)   \n",
       "                    4                                                 - (-)   \n",
       "                    5 Least deprived                               10 (8.3)   \n",
       "                    Unknown                                           - (-)   \n",
       "dementia            No                                             30 (4.7)   \n",
       "                    Yes                                               - (-)   \n",
       "diabetes            No                                             30 (4.7)   \n",
       "                    Yes                                               - (-)   \n",
       "hypertension        No                                             30 (4.7)   \n",
       "                    Yes                                               - (-)   \n",
       "learning_disability No                                             30 (4.7)   \n",
       "                    Yes                                               - (-)   \n",
       "\n",
       "                                             White and Asian 16 CTV3:2020  \\\n",
       "group               subgroup                                                \n",
       "all                 with records                                 30 (4.6)   \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 (4.2)   \n",
       "                    M                                            10 (3.4)   \n",
       "region              East Midlands                                   - (-)   \n",
       "                    East of England                                 - (-)   \n",
       "                    London                                          - (-)   \n",
       "                    North East                                      - (-)   \n",
       "                    North West                                      - (-)   \n",
       "                    South East                                      - (-)   \n",
       "                    South West                                      - (-)   \n",
       "                    West Midlands                                   - (-)   \n",
       "                    Yorkshire and the Humber                        - (-)   \n",
       "imd                 1 Most deprived                                 - (-)   \n",
       "                    2                                               - (-)   \n",
       "                    3                                            10 (6.9)   \n",
       "                    4                                               - (-)   \n",
       "                    5 Least deprived                                - (-)   \n",
       "                    Unknown                                         - (-)   \n",
       "dementia            No                                           30 (4.7)   \n",
       "                    Yes                                             - (-)   \n",
       "diabetes            No                                           25 (3.9)   \n",
       "                    Yes                                             - (-)   \n",
       "hypertension        No                                           25 (3.9)   \n",
       "                    Yes                                             - (-)   \n",
       "learning_disability No                                           30 (4.7)   \n",
       "                    Yes                                             - (-)   \n",
       "\n",
       "                                             White and Asian 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                  \n",
       "all                 with records                                   35 (5.4)   \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 (5.6)   \n",
       "                    M                                              15 (5.1)   \n",
       "region              East Midlands                                     - (-)   \n",
       "                    East of England                                   - (-)   \n",
       "                    London                                            - (-)   \n",
       "                    North East                                        - (-)   \n",
       "                    North West                                        - (-)   \n",
       "                    South East                                        - (-)   \n",
       "                    South West                                        - (-)   \n",
       "                    West Midlands                                     - (-)   \n",
       "                    Yorkshire and the Humber                          - (-)   \n",
       "imd                 1 Most deprived                                   - (-)   \n",
       "                    2                                                 - (-)   \n",
       "                    3                                                 - (-)   \n",
       "                    4                                              10 (7.1)   \n",
       "                    5 Least deprived                                  - (-)   \n",
       "                    Unknown                                           - (-)   \n",
       "dementia            No                                             35 (5.4)   \n",
       "                    Yes                                               - (-)   \n",
       "diabetes            No                                             35 (5.4)   \n",
       "                    Yes                                               - (-)   \n",
       "hypertension        No                                             35 (5.4)   \n",
       "                    Yes                                               - (-)   \n",
       "learning_disability No                                             35 (5.4)   \n",
       "                    Yes                                               - (-)   \n",
       "\n",
       "                                             Other Mixed 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               35 (5.4)   \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 (5.6)   \n",
       "                    M                                          10 (3.4)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    South West                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                          10 (7.7)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                          10 (7.1)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Other Mixed 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             35 (5.4)   \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 (5.6)   \n",
       "                    M                                        15 (5.1)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    South West                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                        10 (7.7)   \n",
       "                    3                                        10 (6.9)   \n",
       "                    4                                           - (-)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Other Mixed 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               35 (5.4)   \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 (5.6)   \n",
       "                    M                                          15 (5.1)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    South West                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                          10 (6.9)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                           10 (8.3)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             White British 16 SNOMED:2022  \\\n",
       "group               subgroup                                                \n",
       "all                 with records                                 20 (3.1)   \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 (2.8)   \n",
       "                    M                                            10 (3.4)   \n",
       "region              East Midlands                                   - (-)   \n",
       "                    East of England                                 - (-)   \n",
       "                    London                                          - (-)   \n",
       "                    North East                                      - (-)   \n",
       "                    North West                                      - (-)   \n",
       "                    South East                                      - (-)   \n",
       "                    South West                                      - (-)   \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 (3.1)   \n",
       "                    Yes                                             - (-)   \n",
       "diabetes            No                                           20 (3.1)   \n",
       "                    Yes                                             - (-)   \n",
       "hypertension        No                                           20 (3.1)   \n",
       "                    Yes                                             - (-)   \n",
       "learning_disability No                                           20 (3.1)   \n",
       "                    Yes                                             - (-)   \n",
       "\n",
       "                                             White British 16 CTV3:2020  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               35 (5.4)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                     10 (11.8)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          15 (4.2)   \n",
       "                    M                                          20 (6.8)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    South West                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                          10 (6.9)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             White British 16 PRIMIS:2021  \\\n",
       "group               subgroup                                                \n",
       "all                 with records                                 30 (4.6)   \n",
       "age_band            0-19                                            - (-)   \n",
       "                    20-29                                           - (-)   \n",
       "                    30-39                                           - (-)   \n",
       "                    40-49                                       10 (11.8)   \n",
       "                    50-59                                           - (-)   \n",
       "                    60-69                                           - (-)   \n",
       "                    70-79                                           - (-)   \n",
       "                    80+                                             - (-)   \n",
       "sex                 F                                            20 (5.6)   \n",
       "                    M                                            10 (3.4)   \n",
       "region              East Midlands                                   - (-)   \n",
       "                    East of England                                 - (-)   \n",
       "                    London                                          - (-)   \n",
       "                    North East                                      - (-)   \n",
       "                    North West                                      - (-)   \n",
       "                    South East                                      - (-)   \n",
       "                    South West                                      - (-)   \n",
       "                    West Midlands                                   - (-)   \n",
       "                    Yorkshire and the Humber                        - (-)   \n",
       "imd                 1 Most deprived                                 - (-)   \n",
       "                    2                                               - (-)   \n",
       "                    3                                               - (-)   \n",
       "                    4                                            10 (7.1)   \n",
       "                    5 Least deprived                                - (-)   \n",
       "                    Unknown                                         - (-)   \n",
       "dementia            No                                           30 (4.7)   \n",
       "                    Yes                                             - (-)   \n",
       "diabetes            No                                           30 (4.7)   \n",
       "                    Yes                                             - (-)   \n",
       "hypertension        No                                           30 (4.7)   \n",
       "                    Yes                                             - (-)   \n",
       "learning_disability No                                           30 (4.7)   \n",
       "                    Yes                                             - (-)   \n",
       "\n",
       "                                             White Irish 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               40 (6.2)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                         - (-)   \n",
       "                    30-39                                     10 (11.8)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          20 (5.6)   \n",
       "                    M                                          20 (6.8)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    South West                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                          10 (6.9)   \n",
       "                    4                                          10 (7.1)   \n",
       "                    5 Least deprived                           10 (8.3)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         40 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         40 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         40 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         40 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             White Irish 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             35 (5.4)   \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                                        25 (7.0)   \n",
       "                    M                                        10 (3.4)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    South West                                  - (-)   \n",
       "                    West Midlands                               - (-)   \n",
       "                    Yorkshire and the Humber                    - (-)   \n",
       "imd                 1 Most deprived                             - (-)   \n",
       "                    2                                        10 (7.7)   \n",
       "                    3                                        10 (6.9)   \n",
       "                    4                                           - (-)   \n",
       "                    5 Least deprived                            - (-)   \n",
       "                    Unknown                                     - (-)   \n",
       "dementia            No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       35 (5.4)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             White Irish 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               25 (3.8)   \n",
       "age_band            0-19                                          - (-)   \n",
       "                    20-29                                     10 (10.5)   \n",
       "                    30-39                                         - (-)   \n",
       "                    40-49                                         - (-)   \n",
       "                    50-59                                         - (-)   \n",
       "                    60-69                                         - (-)   \n",
       "                    70-79                                         - (-)   \n",
       "                    80+                                           - (-)   \n",
       "sex                 F                                          10 (2.8)   \n",
       "                    M                                          15 (5.1)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    South West                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                             - (-)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                          10 (7.1)   \n",
       "                    5 Least deprived                              - (-)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Other White 16 SNOMED:2022  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               40 (6.2)   \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+                                           - (-)   \n",
       "sex                 F                                          15 (4.2)   \n",
       "                    M                                          20 (6.8)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    South West                                    - (-)   \n",
       "                    West Midlands                                 - (-)   \n",
       "                    Yorkshire and the Humber                      - (-)   \n",
       "imd                 1 Most deprived                               - (-)   \n",
       "                    2                                          10 (7.7)   \n",
       "                    3                                             - (-)   \n",
       "                    4                                             - (-)   \n",
       "                    5 Least deprived                           10 (8.3)   \n",
       "                    Unknown                                       - (-)   \n",
       "dementia            No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         40 (6.2)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         35 (5.4)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Other White 16 CTV3:2020  \\\n",
       "group               subgroup                                            \n",
       "all                 with records                             25 (3.8)   \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 (2.8)   \n",
       "                    M                                        10 (3.4)   \n",
       "region              East Midlands                               - (-)   \n",
       "                    East of England                             - (-)   \n",
       "                    London                                      - (-)   \n",
       "                    North East                                  - (-)   \n",
       "                    North West                                  - (-)   \n",
       "                    South East                                  - (-)   \n",
       "                    South West                                  - (-)   \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 (3.9)   \n",
       "                    Yes                                         - (-)   \n",
       "diabetes            No                                       20 (3.1)   \n",
       "                    Yes                                         - (-)   \n",
       "hypertension        No                                       25 (3.9)   \n",
       "                    Yes                                         - (-)   \n",
       "learning_disability No                                       25 (3.9)   \n",
       "                    Yes                                         - (-)   \n",
       "\n",
       "                                             Other White 16 PRIMIS:2021  \\\n",
       "group               subgroup                                              \n",
       "all                 with records                               25 (3.8)   \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 (4.2)   \n",
       "                    M                                          15 (5.1)   \n",
       "region              East Midlands                                 - (-)   \n",
       "                    East of England                               - (-)   \n",
       "                    London                                        - (-)   \n",
       "                    North East                                    - (-)   \n",
       "                    North West                                    - (-)   \n",
       "                    South East                                    - (-)   \n",
       "                    South West                                    - (-)   \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 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "diabetes            No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "hypertension        No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "learning_disability No                                         25 (3.9)   \n",
       "                    Yes                                           - (-)   \n",
       "\n",
       "                                             Chinese 16 SNOMED:2022  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           30 (4.6)   \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 (4.2)   \n",
       "                    M                                      15 (5.1)   \n",
       "region              East Midlands                             - (-)   \n",
       "                    East of England                           - (-)   \n",
       "                    London                                    - (-)   \n",
       "                    North East                                - (-)   \n",
       "                    North West                                - (-)   \n",
       "                    South East                                - (-)   \n",
       "                    South West                                - (-)   \n",
       "                    West Midlands                             - (-)   \n",
       "                    Yorkshire and the Humber                  - (-)   \n",
       "imd                 1 Most deprived                           - (-)   \n",
       "                    2                                      10 (7.7)   \n",
       "                    3                                         - (-)   \n",
       "                    4                                         - (-)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            No                                     30 (4.7)   \n",
       "                    Yes                                       - (-)   \n",
       "diabetes            No                                     30 (4.7)   \n",
       "                    Yes                                       - (-)   \n",
       "hypertension        No                                     30 (4.7)   \n",
       "                    Yes                                       - (-)   \n",
       "learning_disability No                                     30 (4.7)   \n",
       "                    Yes                                       - (-)   \n",
       "\n",
       "                                             Chinese 16 CTV3:2020  \\\n",
       "group               subgroup                                        \n",
       "all                 with records                         30 (4.6)   \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 (4.2)   \n",
       "                    M                                    15 (5.1)   \n",
       "region              East Midlands                           - (-)   \n",
       "                    East of England                         - (-)   \n",
       "                    London                                  - (-)   \n",
       "                    North East                              - (-)   \n",
       "                    North West                              - (-)   \n",
       "                    South East                              - (-)   \n",
       "                    South West                              - (-)   \n",
       "                    West Midlands                           - (-)   \n",
       "                    Yorkshire and the Humber                - (-)   \n",
       "imd                 1 Most deprived                         - (-)   \n",
       "                    2                                       - (-)   \n",
       "                    3                                       - (-)   \n",
       "                    4                                    10 (7.1)   \n",
       "                    5 Least deprived                        - (-)   \n",
       "                    Unknown                                 - (-)   \n",
       "dementia            No                                   30 (4.7)   \n",
       "                    Yes                                     - (-)   \n",
       "diabetes            No                                   30 (4.7)   \n",
       "                    Yes                                     - (-)   \n",
       "hypertension        No                                   30 (4.7)   \n",
       "                    Yes                                     - (-)   \n",
       "learning_disability No                                   30 (4.7)   \n",
       "                    Yes                                     - (-)   \n",
       "\n",
       "                                             Chinese 16 PRIMIS:2021  \\\n",
       "group               subgroup                                          \n",
       "all                 with records                           25 (3.8)   \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 (4.2)   \n",
       "                    M                                      10 (3.4)   \n",
       "region              East Midlands                             - (-)   \n",
       "                    East of England                           - (-)   \n",
       "                    London                                    - (-)   \n",
       "                    North East                                - (-)   \n",
       "                    North West                                - (-)   \n",
       "                    South East                                - (-)   \n",
       "                    South West                                - (-)   \n",
       "                    West Midlands                             - (-)   \n",
       "                    Yorkshire and the Humber                  - (-)   \n",
       "imd                 1 Most deprived                           - (-)   \n",
       "                    2                                         - (-)   \n",
       "                    3                                      10 (6.9)   \n",
       "                    4                                         - (-)   \n",
       "                    5 Least deprived                          - (-)   \n",
       "                    Unknown                                   - (-)   \n",
       "dementia            No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "diabetes            No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "hypertension        No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "learning_disability No                                     25 (3.9)   \n",
       "                    Yes                                       - (-)   \n",
       "\n",
       "                                             Any other ethnic group 16 SNOMED:2022  \\\n",
       "group               subgroup                                                         \n",
       "all                 with records                                          25 (3.8)   \n",
       "age_band            0-19                                                     - (-)   \n",
       "                    20-29                                                    - (-)   \n",
       "                    30-39                                                    - (-)   \n",
       "                    40-49                                                10 (11.8)   \n",
       "                    50-59                                                    - (-)   \n",
       "                    60-69                                                    - (-)   \n",
       "                    70-79                                                    - (-)   \n",
       "                    80+                                                      - (-)   \n",
       "sex                 F                                                     15 (4.2)   \n",
       "                    M                                                     10 (3.4)   \n",
       "region              East Midlands                                            - (-)   \n",
       "                    East of England                                          - (-)   \n",
       "                    London                                                   - (-)   \n",
       "                    North East                                               - (-)   \n",
       "                    North West                                               - (-)   \n",
       "                    South East                                               - (-)   \n",
       "                    South West                                               - (-)   \n",
       "                    West Midlands                                            - (-)   \n",
       "                    Yorkshire and the Humber                                 - (-)   \n",
       "imd                 1 Most deprived                                          - (-)   \n",
       "                    2                                                        - (-)   \n",
       "                    3                                                        - (-)   \n",
       "                    4                                                     10 (7.1)   \n",
       "                    5 Least deprived                                         - (-)   \n",
       "                    Unknown                                                  - (-)   \n",
       "dementia            No                                                    25 (3.9)   \n",
       "                    Yes                                                      - (-)   \n",
       "diabetes            No                                                    25 (3.9)   \n",
       "                    Yes                                                      - (-)   \n",
       "hypertension        No                                                    25 (3.9)   \n",
       "                    Yes                                                      - (-)   \n",
       "learning_disability No                                                    25 (3.9)   \n",
       "                    Yes                                                      - (-)   \n",
       "\n",
       "                                             Any other ethnic group 16 CTV3:2020  \\\n",
       "group               subgroup                                                       \n",
       "all                 with records                                        30 (4.6)   \n",
       "age_band            0-19                                                   - (-)   \n",
       "                    20-29                                                  - (-)   \n",
       "                    30-39                                                  - (-)   \n",
       "                    40-49                                                  - (-)   \n",
       "                    50-59                                                  - (-)   \n",
       "                    60-69                                              10 (11.8)   \n",
       "                    70-79                                                  - (-)   \n",
       "                    80+                                                    - (-)   \n",
       "sex                 F                                                   20 (5.6)   \n",
       "                    M                                                   10 (3.4)   \n",
       "region              East Midlands                                          - (-)   \n",
       "                    East of England                                        - (-)   \n",
       "                    London                                                 - (-)   \n",
       "                    North East                                             - (-)   \n",
       "                    North West                                             - (-)   \n",
       "                    South East                                             - (-)   \n",
       "                    South West                                             - (-)   \n",
       "                    West Midlands                                          - (-)   \n",
       "                    Yorkshire and the Humber                               - (-)   \n",
       "imd                 1 Most deprived                                        - (-)   \n",
       "                    2                                                      - (-)   \n",
       "                    3                                                      - (-)   \n",
       "                    4                                                   10 (7.1)   \n",
       "                    5 Least deprived                                       - (-)   \n",
       "                    Unknown                                                - (-)   \n",
       "dementia            No                                                  30 (4.7)   \n",
       "                    Yes                                                    - (-)   \n",
       "diabetes            No                                                  25 (3.9)   \n",
       "                    Yes                                                    - (-)   \n",
       "hypertension        No                                                  30 (4.7)   \n",
       "                    Yes                                                    - (-)   \n",
       "learning_disability No                                                  30 (4.7)   \n",
       "                    Yes                                                    - (-)   \n",
       "\n",
       "                                             Any other ethnic group 16 PRIMIS:2021  \n",
       "group               subgroup                                                        \n",
       "all                 with records                                          35 (5.4)  \n",
       "age_band            0-19                                                     - (-)  \n",
       "                    20-29                                                    - (-)  \n",
       "                    30-39                                                    - (-)  \n",
       "                    40-49                                                    - (-)  \n",
       "                    50-59                                                    - (-)  \n",
       "                    60-69                                                10 (11.8)  \n",
       "                    70-79                                                10 (13.3)  \n",
       "                    80+                                                      - (-)  \n",
       "sex                 F                                                     20 (5.6)  \n",
       "                    M                                                     15 (5.1)  \n",
       "region              East Midlands                                            - (-)  \n",
       "                    East of England                                          - (-)  \n",
       "                    London                                                   - (-)  \n",
       "                    North East                                               - (-)  \n",
       "                    North West                                               - (-)  \n",
       "                    South East                                               - (-)  \n",
       "                    South West                                               - (-)  \n",
       "                    West Midlands                                            - (-)  \n",
       "                    Yorkshire and the Humber                                 - (-)  \n",
       "imd                 1 Most deprived                                          - (-)  \n",
       "                    2                                                    15 (11.5)  \n",
       "                    3                                                     10 (6.9)  \n",
       "                    4                                                        - (-)  \n",
       "                    5 Least deprived                                         - (-)  \n",
       "                    Unknown                                                  - (-)  \n",
       "dementia            No                                                    35 (5.4)  \n",
       "                    Yes                                                      - (-)  \n",
       "diabetes            No                                                    35 (5.4)  \n",
       "                    Yes                                                      - (-)  \n",
       "hypertension        No                                                    35 (5.4)  \n",
       "                    Yes                                                      - (-)  \n",
       "learning_disability No                                                    35 (5.4)  \n",
       "                    Yes                                                      - (-)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    }
   ],
   "source": [
    "local_patient_counts(\n",
    "         definitions_16,  output_path_16,code_dict_16, categories=True,missing=False\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='changes_cell'></a> \n",
    "\n",
    "### Changes in coded ethnicity groups"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5 Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "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": 373,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "Patients whose latest recorded ethnicity were grouped as `Mixed` were most likely to have a discordant ethnicity recording (64% SNOMED:2022, 62% CTV3:2020, 72% PRIMIS:2021). All three codelists had patients with latest recorded ethnicity grouped as `Black` who also had a recorded ethnicity of `White` (nan% SNOMED:2022, nan% CTV3:2020, 10% 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\"][2])}% SNOMED:2022, {'{:,.0f}'.format(df_sc_pct_ethnicity_5[\"any_pct\"][2])}% CTV3:2020, {'{:,.0f}'.format(df_sc_pct_ethnicity_primis_5[\"any_pct\"][2])}% 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\"][1])}% SNOMED:2022, {'{:,.0f}'.format(df_sc_pct_ethnicity_5[\"white_pct\"][1])}% CTV3:2020, {'{:,.0f}'.format(df_sc_pct_ethnicity_primis_5[\"white_pct\"][1])}% PRIMIS:2021). \n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "##### Changes in 5 SNOMED:2022 ethnicity"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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",
       "\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: 45</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>30 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black: 50</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>30 (60.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed: 55</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>35 (63.6)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White: 285</th>\n",
       "      <td>25 (8.8)</td>\n",
       "      <td>30 (10.5)</td>\n",
       "      <td>25 (8.8)</td>\n",
       "      <td>25 (8.8)</td>\n",
       "      <td>25 (8.8)</td>\n",
       "      <td>205 (71.9)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other: 50</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>35 (70.0)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       asian      black     mixed     white  \\\n",
       "Latest Ethnicity-\\n\\n5 SNOMED:2022                                            \n",
       "Asian: 45                              - (-)      - (-)     - (-)     - (-)   \n",
       "Black: 50                              - (-)      - (-)     - (-)     - (-)   \n",
       "Mixed: 55                              - (-)      - (-)     - (-)     - (-)   \n",
       "White: 285                          25 (8.8)  30 (10.5)  25 (8.8)  25 (8.8)   \n",
       "Other: 50                              - (-)      - (-)     - (-)     - (-)   \n",
       "\n",
       "                                       other         any  \n",
       "Latest Ethnicity-\\n\\n5 SNOMED:2022                        \n",
       "Asian: 45                              - (-)   30 (66.7)  \n",
       "Black: 50                              - (-)   30 (60.0)  \n",
       "Mixed: 55                              - (-)   35 (63.6)  \n",
       "White: 285                          25 (8.8)  205 (71.9)  \n",
       "Other: 50                              - (-)   35 (70.0)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "##### Changes in 5 CTV3:2020 ethnicity"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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",
       "\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: 100</th>\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>15 (15.0)</td>\n",
       "      <td>65 (65.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black: 85</th>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>55 (64.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed: 105</th>\n",
       "      <td>15 (14.3)</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>65 (61.9)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White: 85</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>10 (11.8)</td>\n",
       "      <td>60 (70.6)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other: 115</th>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (13.0)</td>\n",
       "      <td>10 (8.7)</td>\n",
       "      <td>80 (69.6)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      asian      black      mixed      white  \\\n",
       "Latest Ethnicity-\\n\\n5 CTV3:2020                                               \n",
       "Asian: 100                        10 (10.0)  10 (10.0)  10 (10.0)  10 (10.0)   \n",
       "Black: 85                         10 (11.8)  10 (11.8)  10 (11.8)      - (-)   \n",
       "Mixed: 105                        15 (14.3)   10 (9.5)   10 (9.5)   10 (9.5)   \n",
       "White: 85                             - (-)  10 (11.8)  10 (11.8)  10 (11.8)   \n",
       "Other: 115                         10 (8.7)   10 (8.7)      - (-)  15 (13.0)   \n",
       "\n",
       "                                      other        any  \n",
       "Latest Ethnicity-\\n\\n5 CTV3:2020                        \n",
       "Asian: 100                        15 (15.0)  65 (65.0)  \n",
       "Black: 85                         10 (11.8)  55 (64.7)  \n",
       "Mixed: 105                         10 (9.5)  65 (61.9)  \n",
       "White: 85                         10 (11.8)  60 (70.6)  \n",
       "Other: 115                         10 (8.7)  80 (69.6)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "##### Changes in 5 PRIMIS:2021 ethnicity"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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",
       "\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: 95</th>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>70 (73.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black: 95</th>\n",
       "      <td>15 (15.8)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>65 (68.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed: 90</th>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (11.1)</td>\n",
       "      <td>65 (72.2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White: 95</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>10 (10.5)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>75 (78.9)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other: 100</th>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>10 (10.0)</td>\n",
       "      <td>60 (60.0)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        asian      black      mixed  \\\n",
       "Latest Ethnicity-\\n\\n5 PRIMIS:2021                                    \n",
       "Asian: 95                           10 (10.5)  10 (10.5)  10 (10.5)   \n",
       "Black: 95                           15 (15.8)      - (-)  10 (10.5)   \n",
       "Mixed: 90                           10 (11.1)      - (-)      - (-)   \n",
       "White: 95                               - (-)      - (-)  10 (10.5)   \n",
       "Other: 100                          10 (10.0)  10 (10.0)  10 (10.0)   \n",
       "\n",
       "                                        white      other        any  \n",
       "Latest Ethnicity-\\n\\n5 PRIMIS:2021                                   \n",
       "Asian: 95                               - (-)      - (-)  70 (73.7)  \n",
       "Black: 95                           10 (10.5)  10 (10.5)  65 (68.4)  \n",
       "Mixed: 90                               - (-)  10 (11.1)  65 (72.2)  \n",
       "White: 95                           10 (10.5)      - (-)  75 (78.9)  \n",
       "Other: 100                          10 (10.0)  10 (10.0)  60 (60.0)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    }
   ],
   "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\\n{definition_dict[definition]}'}, inplace=True)\n",
    "        df_state_change = df_state_change.set_index(f'Latest Ethnicity-\\n\\n{definition_dict[definition]}')\n",
    "        display(Markdown(f\"##### Changes in {definition_dict[definition]} ethnicity\"))\n",
    "        display(df_state_change)\n",
    "        print(\" \\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 16 Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 375,
   "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": 376,
   "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 (67% SNOMED:2022, 50% 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\"][6])}% SNOMED:2022, {'{:,.0f}'.format(df_sc_pct_ethnicity_16[\"any_pct\"][6])}% CTV3:2020, {'{:,.0f}'.format(df_sc_pct_ethnicity_primis_16[\"any_pct\"][6])}% PRIMIS:2021).\n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 377,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "##### Changes in 16 SNOMED:2022 ethnicity"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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>20 (80.0)</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>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladeshi: 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_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>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: 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>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: 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_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: 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>Other_Mixed: 35</th>\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>- (-)</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_British: 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_Irish: 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_White: 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>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>20 (66.7)</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 SNOMED:2022                                            \n",
       "Indian: 25                         - (-)     - (-)       - (-)       - (-)   \n",
       "Pakistani: 35                      - (-)     - (-)       - (-)       - (-)   \n",
       "Bangladeshi: 30                    - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Asian: 25                    - (-)     - (-)       - (-)       - (-)   \n",
       "Caribbean: 30                      - (-)     - (-)       - (-)       - (-)   \n",
       "African: 30                        - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Black: 30                    - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 35      - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_African: 30        - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Asian: 30                - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Mixed: 35                    - (-)     - (-)       - (-)       - (-)   \n",
       "White_British: 20                  - (-)     - (-)       - (-)       - (-)   \n",
       "White_Irish: 40                    - (-)     - (-)       - (-)       - (-)   \n",
       "Other_White: 40                    - (-)     - (-)       - (-)       - (-)   \n",
       "Chinese: 30                        - (-)     - (-)       - (-)       - (-)   \n",
       "Any_other_ethnic_group: 25         - (-)     - (-)       - (-)       - (-)   \n",
       "\n",
       "                                   caribbean african other black  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                  \n",
       "Indian: 25                             - (-)   - (-)       - (-)   \n",
       "Pakistani: 35                          - (-)   - (-)       - (-)   \n",
       "Bangladeshi: 30                        - (-)   - (-)       - (-)   \n",
       "Other_Asian: 25                        - (-)   - (-)       - (-)   \n",
       "Caribbean: 30                          - (-)   - (-)       - (-)   \n",
       "African: 30                            - (-)   - (-)       - (-)   \n",
       "Other_Black: 30                        - (-)   - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 35          - (-)   - (-)       - (-)   \n",
       "White_and_Black_African: 30            - (-)   - (-)       - (-)   \n",
       "White_and_Asian: 30                    - (-)   - (-)       - (-)   \n",
       "Other_Mixed: 35                    10 (28.6)   - (-)       - (-)   \n",
       "White_British: 20                      - (-)   - (-)       - (-)   \n",
       "White_Irish: 40                        - (-)   - (-)       - (-)   \n",
       "Other_White: 40                        - (-)   - (-)       - (-)   \n",
       "Chinese: 30                            - (-)   - (-)       - (-)   \n",
       "Any_other_ethnic_group: 25             - (-)   - (-)       - (-)   \n",
       "\n",
       "                                  white and black caribbean  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                             \n",
       "Indian: 25                                            - (-)   \n",
       "Pakistani: 35                                         - (-)   \n",
       "Bangladeshi: 30                                       - (-)   \n",
       "Other_Asian: 25                                       - (-)   \n",
       "Caribbean: 30                                         - (-)   \n",
       "African: 30                                           - (-)   \n",
       "Other_Black: 30                                       - (-)   \n",
       "White_and_Black_Caribbean: 35                         - (-)   \n",
       "White_and_Black_African: 30                           - (-)   \n",
       "White_and_Asian: 30                                   - (-)   \n",
       "Other_Mixed: 35                                       - (-)   \n",
       "White_British: 20                                     - (-)   \n",
       "White_Irish: 40                                       - (-)   \n",
       "Other_White: 40                                       - (-)   \n",
       "Chinese: 30                                           - (-)   \n",
       "Any_other_ethnic_group: 25                            - (-)   \n",
       "\n",
       "                                  white and black african white and asian  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                           \n",
       "Indian: 25                                          - (-)           - (-)   \n",
       "Pakistani: 35                                       - (-)           - (-)   \n",
       "Bangladeshi: 30                                     - (-)           - (-)   \n",
       "Other_Asian: 25                                     - (-)           - (-)   \n",
       "Caribbean: 30                                       - (-)           - (-)   \n",
       "African: 30                                         - (-)           - (-)   \n",
       "Other_Black: 30                                     - (-)           - (-)   \n",
       "White_and_Black_Caribbean: 35                       - (-)           - (-)   \n",
       "White_and_Black_African: 30                         - (-)           - (-)   \n",
       "White_and_Asian: 30                                 - (-)           - (-)   \n",
       "Other_Mixed: 35                                     - (-)           - (-)   \n",
       "White_British: 20                                   - (-)           - (-)   \n",
       "White_Irish: 40                                     - (-)           - (-)   \n",
       "Other_White: 40                                     - (-)           - (-)   \n",
       "Chinese: 30                                         - (-)           - (-)   \n",
       "Any_other_ethnic_group: 25                          - (-)           - (-)   \n",
       "\n",
       "                                  other mixed white british white irish  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                         \n",
       "Indian: 25                              - (-)         - (-)       - (-)   \n",
       "Pakistani: 35                           - (-)         - (-)       - (-)   \n",
       "Bangladeshi: 30                         - (-)         - (-)       - (-)   \n",
       "Other_Asian: 25                         - (-)         - (-)       - (-)   \n",
       "Caribbean: 30                           - (-)         - (-)       - (-)   \n",
       "African: 30                             - (-)         - (-)       - (-)   \n",
       "Other_Black: 30                         - (-)         - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 35           - (-)         - (-)       - (-)   \n",
       "White_and_Black_African: 30             - (-)         - (-)       - (-)   \n",
       "White_and_Asian: 30                     - (-)         - (-)       - (-)   \n",
       "Other_Mixed: 35                         - (-)         - (-)       - (-)   \n",
       "White_British: 20                       - (-)         - (-)       - (-)   \n",
       "White_Irish: 40                         - (-)         - (-)       - (-)   \n",
       "Other_White: 40                         - (-)         - (-)       - (-)   \n",
       "Chinese: 30                             - (-)         - (-)       - (-)   \n",
       "Any_other_ethnic_group: 25              - (-)         - (-)       - (-)   \n",
       "\n",
       "                                  other white chinese any other ethnic group  \\\n",
       "Latest Ethnicity-\\n16 SNOMED:2022                                              \n",
       "Indian: 25                              - (-)   - (-)                  - (-)   \n",
       "Pakistani: 35                           - (-)   - (-)                  - (-)   \n",
       "Bangladeshi: 30                         - (-)   - (-)                  - (-)   \n",
       "Other_Asian: 25                         - (-)   - (-)                  - (-)   \n",
       "Caribbean: 30                           - (-)   - (-)                  - (-)   \n",
       "African: 30                             - (-)   - (-)                  - (-)   \n",
       "Other_Black: 30                         - (-)   - (-)                  - (-)   \n",
       "White_and_Black_Caribbean: 35           - (-)   - (-)                  - (-)   \n",
       "White_and_Black_African: 30             - (-)   - (-)                  - (-)   \n",
       "White_and_Asian: 30                     - (-)   - (-)                  - (-)   \n",
       "Other_Mixed: 35                         - (-)   - (-)                  - (-)   \n",
       "White_British: 20                       - (-)   - (-)                  - (-)   \n",
       "White_Irish: 40                         - (-)   - (-)                  - (-)   \n",
       "Other_White: 40                         - (-)   - (-)                  - (-)   \n",
       "Chinese: 30                             - (-)   - (-)                  - (-)   \n",
       "Any_other_ethnic_group: 25              - (-)   - (-)                  - (-)   \n",
       "\n",
       "                                         any  \n",
       "Latest Ethnicity-\\n16 SNOMED:2022             \n",
       "Indian: 25                         20 (80.0)  \n",
       "Pakistani: 35                      25 (71.4)  \n",
       "Bangladeshi: 30                    15 (50.0)  \n",
       "Other_Asian: 25                    15 (60.0)  \n",
       "Caribbean: 30                      20 (66.7)  \n",
       "African: 30                        20 (66.7)  \n",
       "Other_Black: 30                    20 (66.7)  \n",
       "White_and_Black_Caribbean: 35      25 (71.4)  \n",
       "White_and_Black_African: 30        20 (66.7)  \n",
       "White_and_Asian: 30                20 (66.7)  \n",
       "Other_Mixed: 35                    20 (57.1)  \n",
       "White_British: 20                  15 (75.0)  \n",
       "White_Irish: 40                    25 (62.5)  \n",
       "Other_White: 40                    25 (62.5)  \n",
       "Chinese: 30                        20 (66.7)  \n",
       "Any_other_ethnic_group: 25         15 (60.0)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "##### Changes in 16 CTV3:2020 ethnicity"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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 CTV3:2020</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Indian: 45</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>10 (22.2)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>30 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistani: 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>Bangladeshi: 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>Other_Asian: 35</th>\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>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>25 (71.4)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>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>15 (50.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_Caribbean: 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>30 (75.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_and_Black_African: 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>25 (100.0)</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>20 (66.7)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Mixed: 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_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>20 (57.1)</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>20 (57.1)</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>20 (66.7)</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>15 (50.0)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                indian pakistani bangladeshi other asian  \\\n",
       "Latest Ethnicity-\\n16 CTV3:2020                                            \n",
       "Indian: 45                       - (-)     - (-)       - (-)       - (-)   \n",
       "Pakistani: 25                    - (-)     - (-)       - (-)       - (-)   \n",
       "Bangladeshi: 20                  - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Asian: 35                  - (-)     - (-)       - (-)       - (-)   \n",
       "Caribbean: 25                    - (-)     - (-)       - (-)       - (-)   \n",
       "African: 30                      - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Black: 30                  - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 40    - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_African: 25      - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Asian: 30              - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Mixed: 35                  - (-)     - (-)       - (-)       - (-)   \n",
       "White_British: 35                - (-)     - (-)       - (-)       - (-)   \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: 45                          - (-)   - (-)       - (-)   \n",
       "Pakistani: 25                       - (-)   - (-)       - (-)   \n",
       "Bangladeshi: 20                     - (-)   - (-)       - (-)   \n",
       "Other_Asian: 35                     - (-)   - (-)   10 (28.6)   \n",
       "Caribbean: 25                       - (-)   - (-)       - (-)   \n",
       "African: 30                         - (-)   - (-)       - (-)   \n",
       "Other_Black: 30                     - (-)   - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 40       - (-)   - (-)       - (-)   \n",
       "White_and_Black_African: 25         - (-)   - (-)       - (-)   \n",
       "White_and_Asian: 30                 - (-)   - (-)       - (-)   \n",
       "Other_Mixed: 35                     - (-)   - (-)       - (-)   \n",
       "White_British: 35                   - (-)   - (-)       - (-)   \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: 45                                          - (-)   \n",
       "Pakistani: 25                                       - (-)   \n",
       "Bangladeshi: 20                                     - (-)   \n",
       "Other_Asian: 35                                     - (-)   \n",
       "Caribbean: 25                                       - (-)   \n",
       "African: 30                                         - (-)   \n",
       "Other_Black: 30                                     - (-)   \n",
       "White_and_Black_Caribbean: 40                       - (-)   \n",
       "White_and_Black_African: 25                         - (-)   \n",
       "White_and_Asian: 30                                 - (-)   \n",
       "Other_Mixed: 35                                     - (-)   \n",
       "White_British: 35                                   - (-)   \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: 45                                        - (-)           - (-)   \n",
       "Pakistani: 25                                     - (-)           - (-)   \n",
       "Bangladeshi: 20                                   - (-)           - (-)   \n",
       "Other_Asian: 35                                   - (-)           - (-)   \n",
       "Caribbean: 25                                     - (-)           - (-)   \n",
       "African: 30                                       - (-)           - (-)   \n",
       "Other_Black: 30                                   - (-)           - (-)   \n",
       "White_and_Black_Caribbean: 40                     - (-)           - (-)   \n",
       "White_and_Black_African: 25                       - (-)           - (-)   \n",
       "White_and_Asian: 30                               - (-)           - (-)   \n",
       "Other_Mixed: 35                                   - (-)           - (-)   \n",
       "White_British: 35                                 - (-)           - (-)   \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: 45                            - (-)         - (-)       - (-)   \n",
       "Pakistani: 25                         - (-)         - (-)       - (-)   \n",
       "Bangladeshi: 20                       - (-)         - (-)       - (-)   \n",
       "Other_Asian: 35                       - (-)         - (-)       - (-)   \n",
       "Caribbean: 25                         - (-)         - (-)       - (-)   \n",
       "African: 30                           - (-)         - (-)       - (-)   \n",
       "Other_Black: 30                       - (-)         - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 40         - (-)         - (-)       - (-)   \n",
       "White_and_Black_African: 25           - (-)         - (-)       - (-)   \n",
       "White_and_Asian: 30                   - (-)         - (-)       - (-)   \n",
       "Other_Mixed: 35                       - (-)         - (-)       - (-)   \n",
       "White_British: 35                     - (-)         - (-)       - (-)   \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: 45                            - (-)  10 (22.2)                  - (-)   \n",
       "Pakistani: 25                         - (-)      - (-)                  - (-)   \n",
       "Bangladeshi: 20                       - (-)      - (-)                  - (-)   \n",
       "Other_Asian: 35                       - (-)      - (-)                  - (-)   \n",
       "Caribbean: 25                         - (-)      - (-)                  - (-)   \n",
       "African: 30                           - (-)      - (-)                  - (-)   \n",
       "Other_Black: 30                       - (-)      - (-)                  - (-)   \n",
       "White_and_Black_Caribbean: 40         - (-)      - (-)                  - (-)   \n",
       "White_and_Black_African: 25           - (-)      - (-)                  - (-)   \n",
       "White_and_Asian: 30                   - (-)      - (-)                  - (-)   \n",
       "Other_Mixed: 35                       - (-)      - (-)                  - (-)   \n",
       "White_British: 35                     - (-)      - (-)                  - (-)   \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: 45                        30 (66.7)  \n",
       "Pakistani: 25                     20 (80.0)  \n",
       "Bangladeshi: 20                   15 (75.0)  \n",
       "Other_Asian: 35                   25 (71.4)  \n",
       "Caribbean: 25                     15 (60.0)  \n",
       "African: 30                       20 (66.7)  \n",
       "Other_Black: 30                   15 (50.0)  \n",
       "White_and_Black_Caribbean: 40     30 (75.0)  \n",
       "White_and_Black_African: 25      25 (100.0)  \n",
       "White_and_Asian: 30               20 (66.7)  \n",
       "Other_Mixed: 35                   25 (71.4)  \n",
       "White_British: 35                 20 (57.1)  \n",
       "White_Irish: 35                   20 (57.1)  \n",
       "Other_White: 25                   15 (60.0)  \n",
       "Chinese: 30                       20 (66.7)  \n",
       "Any_other_ethnic_group: 30        15 (50.0)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "##### Changes in 16 PRIMIS:2021 ethnicity"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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 PRIMIS:2021</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Indian: 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>30 (75.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistani: 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>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: 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>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: 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>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: 25</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (40.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</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_Asian: 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_Mixed: 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_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>25 (83.3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White_Irish: 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>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: 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>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 PRIMIS:2021                                            \n",
       "Indian: 40                         - (-)     - (-)       - (-)       - (-)   \n",
       "Pakistani: 30                      - (-)     - (-)       - (-)       - (-)   \n",
       "Bangladeshi: 25                    - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Asian: 35                    - (-)     - (-)       - (-)       - (-)   \n",
       "Caribbean: 35                      - (-)     - (-)       - (-)       - (-)   \n",
       "African: 25                        - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Black: 30                    - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 30      - (-)     - (-)       - (-)       - (-)   \n",
       "White_and_Black_African: 25        - (-)     - (-)   10 (40.0)       - (-)   \n",
       "White_and_Asian: 35                - (-)     - (-)       - (-)       - (-)   \n",
       "Other_Mixed: 35                    - (-)     - (-)       - (-)       - (-)   \n",
       "White_British: 30                  - (-)     - (-)       - (-)       - (-)   \n",
       "White_Irish: 25                    - (-)     - (-)       - (-)       - (-)   \n",
       "Other_White: 25                    - (-)     - (-)       - (-)       - (-)   \n",
       "Chinese: 25                        - (-)     - (-)       - (-)       - (-)   \n",
       "Any_other_ethnic_group: 35         - (-)     - (-)       - (-)       - (-)   \n",
       "\n",
       "                                  caribbean african other black  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                 \n",
       "Indian: 40                            - (-)   - (-)       - (-)   \n",
       "Pakistani: 30                         - (-)   - (-)       - (-)   \n",
       "Bangladeshi: 25                       - (-)   - (-)       - (-)   \n",
       "Other_Asian: 35                       - (-)   - (-)       - (-)   \n",
       "Caribbean: 35                         - (-)   - (-)       - (-)   \n",
       "African: 25                           - (-)   - (-)       - (-)   \n",
       "Other_Black: 30                       - (-)   - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 30         - (-)   - (-)       - (-)   \n",
       "White_and_Black_African: 25           - (-)   - (-)       - (-)   \n",
       "White_and_Asian: 35                   - (-)   - (-)       - (-)   \n",
       "Other_Mixed: 35                       - (-)   - (-)       - (-)   \n",
       "White_British: 30                     - (-)   - (-)       - (-)   \n",
       "White_Irish: 25                       - (-)   - (-)       - (-)   \n",
       "Other_White: 25                       - (-)   - (-)       - (-)   \n",
       "Chinese: 25                           - (-)   - (-)       - (-)   \n",
       "Any_other_ethnic_group: 35            - (-)   - (-)       - (-)   \n",
       "\n",
       "                                  white and black caribbean  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                             \n",
       "Indian: 40                                            - (-)   \n",
       "Pakistani: 30                                         - (-)   \n",
       "Bangladeshi: 25                                       - (-)   \n",
       "Other_Asian: 35                                       - (-)   \n",
       "Caribbean: 35                                         - (-)   \n",
       "African: 25                                           - (-)   \n",
       "Other_Black: 30                                       - (-)   \n",
       "White_and_Black_Caribbean: 30                         - (-)   \n",
       "White_and_Black_African: 25                           - (-)   \n",
       "White_and_Asian: 35                                   - (-)   \n",
       "Other_Mixed: 35                                       - (-)   \n",
       "White_British: 30                                     - (-)   \n",
       "White_Irish: 25                                       - (-)   \n",
       "Other_White: 25                                       - (-)   \n",
       "Chinese: 25                                           - (-)   \n",
       "Any_other_ethnic_group: 35                            - (-)   \n",
       "\n",
       "                                  white and black african white and asian  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                           \n",
       "Indian: 40                                          - (-)           - (-)   \n",
       "Pakistani: 30                                       - (-)           - (-)   \n",
       "Bangladeshi: 25                                     - (-)           - (-)   \n",
       "Other_Asian: 35                                     - (-)           - (-)   \n",
       "Caribbean: 35                                       - (-)           - (-)   \n",
       "African: 25                                         - (-)           - (-)   \n",
       "Other_Black: 30                                     - (-)           - (-)   \n",
       "White_and_Black_Caribbean: 30                       - (-)           - (-)   \n",
       "White_and_Black_African: 25                         - (-)           - (-)   \n",
       "White_and_Asian: 35                                 - (-)           - (-)   \n",
       "Other_Mixed: 35                                     - (-)           - (-)   \n",
       "White_British: 30                                   - (-)           - (-)   \n",
       "White_Irish: 25                                     - (-)           - (-)   \n",
       "Other_White: 25                                     - (-)           - (-)   \n",
       "Chinese: 25                                         - (-)           - (-)   \n",
       "Any_other_ethnic_group: 35                          - (-)           - (-)   \n",
       "\n",
       "                                  other mixed white british white irish  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                         \n",
       "Indian: 40                              - (-)         - (-)       - (-)   \n",
       "Pakistani: 30                           - (-)         - (-)       - (-)   \n",
       "Bangladeshi: 25                         - (-)         - (-)       - (-)   \n",
       "Other_Asian: 35                         - (-)         - (-)       - (-)   \n",
       "Caribbean: 35                           - (-)         - (-)       - (-)   \n",
       "African: 25                             - (-)         - (-)       - (-)   \n",
       "Other_Black: 30                         - (-)         - (-)       - (-)   \n",
       "White_and_Black_Caribbean: 30           - (-)         - (-)       - (-)   \n",
       "White_and_Black_African: 25             - (-)         - (-)       - (-)   \n",
       "White_and_Asian: 35                     - (-)         - (-)       - (-)   \n",
       "Other_Mixed: 35                         - (-)         - (-)       - (-)   \n",
       "White_British: 30                       - (-)         - (-)       - (-)   \n",
       "White_Irish: 25                         - (-)         - (-)       - (-)   \n",
       "Other_White: 25                         - (-)         - (-)       - (-)   \n",
       "Chinese: 25                             - (-)         - (-)       - (-)   \n",
       "Any_other_ethnic_group: 35              - (-)         - (-)       - (-)   \n",
       "\n",
       "                                  other white chinese any other ethnic group  \\\n",
       "Latest Ethnicity-\\n16 PRIMIS:2021                                              \n",
       "Indian: 40                              - (-)   - (-)                  - (-)   \n",
       "Pakistani: 30                           - (-)   - (-)                  - (-)   \n",
       "Bangladeshi: 25                         - (-)   - (-)                  - (-)   \n",
       "Other_Asian: 35                         - (-)   - (-)                  - (-)   \n",
       "Caribbean: 35                           - (-)   - (-)                  - (-)   \n",
       "African: 25                             - (-)   - (-)                  - (-)   \n",
       "Other_Black: 30                         - (-)   - (-)                  - (-)   \n",
       "White_and_Black_Caribbean: 30           - (-)   - (-)                  - (-)   \n",
       "White_and_Black_African: 25             - (-)   - (-)                  - (-)   \n",
       "White_and_Asian: 35                     - (-)   - (-)                  - (-)   \n",
       "Other_Mixed: 35                         - (-)   - (-)                  - (-)   \n",
       "White_British: 30                       - (-)   - (-)                  - (-)   \n",
       "White_Irish: 25                         - (-)   - (-)                  - (-)   \n",
       "Other_White: 25                         - (-)   - (-)                  - (-)   \n",
       "Chinese: 25                             - (-)   - (-)                  - (-)   \n",
       "Any_other_ethnic_group: 35              - (-)   - (-)                  - (-)   \n",
       "\n",
       "                                         any  \n",
       "Latest Ethnicity-\\n16 PRIMIS:2021             \n",
       "Indian: 40                         30 (75.0)  \n",
       "Pakistani: 30                      15 (50.0)  \n",
       "Bangladeshi: 25                    15 (60.0)  \n",
       "Other_Asian: 35                    20 (57.1)  \n",
       "Caribbean: 35                      20 (57.1)  \n",
       "African: 25                        20 (80.0)  \n",
       "Other_Black: 30                    20 (66.7)  \n",
       "White_and_Black_Caribbean: 30      25 (83.3)  \n",
       "White_and_Black_African: 25        20 (80.0)  \n",
       "White_and_Asian: 35                25 (71.4)  \n",
       "Other_Mixed: 35                    25 (71.4)  \n",
       "White_British: 30                  25 (83.3)  \n",
       "White_Irish: 25                    20 (80.0)  \n",
       "Other_White: 25                    20 (80.0)  \n",
       "Chinese: 25                        15 (60.0)  \n",
       "Any_other_ethnic_group: 35         25 (71.4)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    }
   ],
   "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(Markdown(f\"##### Changes in {definition_dict[definition]} ethnicity\"))\n",
    "        display(df_state_change)\n",
    "        print(\" \\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='frequent_cell'></a> \n",
    "\n",
    "### Comparison of 'Latest' and 'Most Frequent' coded ethnicity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5 Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "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",
    "        df_sum = df_sum[lowerlist_5]\n",
    "        ### daisy\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": 379,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "Overall 21% of the latest `5 group` ethnicity matched the most frequent `5 group` ethnicity for all codelists. 20% of those with the most recent ethnicity classified as `White` also had the most frequent ethnicity `White` for all three codelists. `Mixed` was the least concordant for all three codelists with nan% (SNOMED:2022 and CTV:2020) and nan% (PRIMIS:2021) of those with the most recent ethnicity `Mixed` also had the most frequent ethnicity `Mixed`. Of those with latest ethnicity `Black` nan% also had the most frequent ethnicity `White`.\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"\"\"\n",
    "Overall {'{:,.0f}'.format(df_col_ethnicity_5[0])}% of the latest `5 group` ethnicity matched the most frequent `5 group` ethnicity for all codelists. {'{:,.0f}'.format(df_sum_pct_ethnicity_new_5[\"white_pct\"][3])}% 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\"][2])}% (SNOMED:2022 and CTV:2020) and {'{:,.0f}'.format(df_sum_pct_ethnicity_primis_5[\"mixed_pct\"][2])}% (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\"][1])}% also had the most frequent ethnicity `White`.\n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 380,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "##### 'Latest' and 'Most Frequent' 5 SNOMED:2022 ethnicity"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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 (20.0%)</th>\n",
       "      <th>not matching (80.0%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "5 SNOMED:2022</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asian</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White</th>\n",
       "      <td>20</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 matching (20.0%)  not matching (80.0%)\n",
       "Latest Ethnicity-\\n5 SNOMED:2022                                       \n",
       "Asian                                           -                     0\n",
       "Black                                           -                     0\n",
       "Mixed                                           -                     0\n",
       "White                                          20                    80\n",
       "Other                                           -                     0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "### 'Latest' and 'Most Frequent' 5 SNOMED:2022 ethnicity expanded"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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",
       "    </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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asian</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White</th>\n",
       "      <td>20 (20.0)</td>\n",
       "      <td>20 (20.0)</td>\n",
       "      <td>15 (15.0)</td>\n",
       "      <td>20 (20.0)</td>\n",
       "      <td>25 (25.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</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": [
       "                                      asian      black      mixed      white  \\\n",
       "Latest Ethnicity-\\n5 SNOMED:2022                                               \n",
       "Asian                                 - (-)      - (-)      - (-)      - (-)   \n",
       "Black                                 - (-)      - (-)      - (-)      - (-)   \n",
       "Mixed                                 - (-)      - (-)      - (-)      - (-)   \n",
       "White                             20 (20.0)  20 (20.0)  15 (15.0)  20 (20.0)   \n",
       "Other                                 - (-)      - (-)      - (-)      - (-)   \n",
       "\n",
       "                                      other  \n",
       "Latest Ethnicity-\\n5 SNOMED:2022             \n",
       "Asian                                 - (-)  \n",
       "Black                                 - (-)  \n",
       "Mixed                                 - (-)  \n",
       "White                             25 (25.0)  \n",
       "Other                                 - (-)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "##### 'Latest' and 'Most Frequent' 5 CTV3:2020 ethnicity"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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 (21.1%)</th>\n",
       "      <th>not matching (78.9%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "5 CTV3:2020</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asian</th>\n",
       "      <td>10</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black</th>\n",
       "      <td>10</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed</th>\n",
       "      <td>10</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White</th>\n",
       "      <td>10</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>-</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               matching (21.1%)  not matching (78.9%)\n",
       "Latest Ethnicity-\\n5 CTV3:2020                                       \n",
       "Asian                                        10                    30\n",
       "Black                                        10                    20\n",
       "Mixed                                        10                    45\n",
       "White                                        10                    20\n",
       "Other                                         -                    35"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "### 'Latest' and 'Most Frequent' 5 CTV3:2020 ethnicity expanded"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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",
       "    </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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asian</th>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "      <td>10 (25.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (33.3)</td>\n",
       "      <td>10 (33.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (33.3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed</th>\n",
       "      <td>15 (27.3)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "      <td>10 (18.2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (33.3)</td>\n",
       "      <td>10 (33.3)</td>\n",
       "      <td>10 (33.3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>10 (28.6)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>15 (42.9)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    asian      black      mixed      white  \\\n",
       "Latest Ethnicity-\\n5 CTV3:2020                                               \n",
       "Asian                           10 (25.0)  10 (25.0)      - (-)  10 (25.0)   \n",
       "Black                               - (-)  10 (33.3)  10 (33.3)      - (-)   \n",
       "Mixed                           15 (27.3)  10 (18.2)  10 (18.2)  10 (18.2)   \n",
       "White                               - (-)      - (-)  10 (33.3)  10 (33.3)   \n",
       "Other                           10 (28.6)  10 (28.6)      - (-)  15 (42.9)   \n",
       "\n",
       "                                    other  \n",
       "Latest Ethnicity-\\n5 CTV3:2020             \n",
       "Asian                           10 (25.0)  \n",
       "Black                           10 (33.3)  \n",
       "Mixed                           10 (18.2)  \n",
       "White                           10 (33.3)  \n",
       "Other                               - (-)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "##### 'Latest' and 'Most Frequent' 5 PRIMIS:2021 ethnicity"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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 (22.2%)</th>\n",
       "      <th>not matching (77.8%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "5 PRIMIS:2021</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asian</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black</th>\n",
       "      <td>-</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed</th>\n",
       "      <td>-</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White</th>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>10</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 matching (22.2%)  not matching (77.8%)\n",
       "Latest Ethnicity-\\n5 PRIMIS:2021                                       \n",
       "Asian                                          10                    10\n",
       "Black                                           -                    45\n",
       "Mixed                                           -                    10\n",
       "White                                          10                     0\n",
       "Other                                          10                    40"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "### 'Latest' and 'Most Frequent' 5 PRIMIS:2021 ethnicity expanded"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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",
       "    </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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asian</th>\n",
       "      <td>10 (50.0)</td>\n",
       "      <td>10 (50.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black</th>\n",
       "      <td>15 (33.3)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "      <td>10 (22.2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed</th>\n",
       "      <td>10 (100.0)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White</th>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>- (-)</td>\n",
       "      <td>10 (100.0)</td>\n",
       "      <td>- (-)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "      <td>10 (20.0)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       asian      black      mixed  \\\n",
       "Latest Ethnicity-\\n5 PRIMIS:2021                                     \n",
       "Asian                              10 (50.0)  10 (50.0)      - (-)   \n",
       "Black                              15 (33.3)      - (-)  10 (22.2)   \n",
       "Mixed                             10 (100.0)      - (-)      - (-)   \n",
       "White                                  - (-)      - (-)      - (-)   \n",
       "Other                              10 (20.0)  10 (20.0)  10 (20.0)   \n",
       "\n",
       "                                       white      other  \n",
       "Latest Ethnicity-\\n5 PRIMIS:2021                         \n",
       "Asian                                  - (-)      - (-)  \n",
       "Black                              10 (22.2)  10 (22.2)  \n",
       "Mixed                                  - (-)      - (-)  \n",
       "White                             10 (100.0)      - (-)  \n",
       "Other                              10 (20.0)  10 (20.0)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    }
   ],
   "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",
    "        df_sum = df_sum[lowerlist_5]\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",
    "        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(Markdown(f\"##### 'Latest' and 'Most Frequent' {definition_dict[definition]} ethnicity\"))\n",
    "        display(df_out)\n",
    "        print(\" \\n\")\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(Markdown(f\"### 'Latest' and 'Most Frequent' {definition_dict[definition]} ethnicity expanded\"))\n",
    "        display(df_sum)\n",
    "        print(\" \\n\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 16 group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "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",
    "        df_sum = df_sum[lowerlist_16]\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": 382,
   "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, nan% of those with the most recent ethnicity `Other Black` also had the most frequent ethnicity `Other Black`.\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown(f\"\"\"\n",
    "Expanding to the `16 group` the percentage of latest ethnicity that match the most frequent ethnicity falls to {'{:,.0f}'.format(df_col_ethnicity_new_16[0])}% for both SNOMED:2022 and CTV3:2020 and {'{:,.0f}'.format(df_col_ethnicity_primis_16[0])}% for PRIMIS:2021. `White British` was the most concordant for both SNOMED:2022 and CTV3:2020 with {'{:,.0f}'.format(df_sum_pct_ethnicity_new_16[\"white_british_pct\"][11])}% and {'{:,.0f}'.format(df_sum_pct_ethnicity_16[\"white_british_pct\"][11])}%, 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, {'{:,.0f}'.format(df_sum_pct_ethnicity_new_16[\"other_black_pct\"][6])}% of those with the most recent ethnicity `Other Black` also had the most frequent ethnicity `Other Black`.\n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 383,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "##### 'Latest' and 'Most Frequent' 16 SNOMED:2022 ethnicity"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "### 'Latest' and 'Most Frequent' 16 SNOMED:2022 ethnicity expanded"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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",
       "    </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",
       "    </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 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                  - (-)   - (-)                  - (-)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "##### 'Latest' and 'Most Frequent' 16 CTV3:2020 ethnicity"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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 (0.0%)</th>\n",
       "      <th>not matching (100.0%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "16 CTV3:2020</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Indian</th>\n",
       "      <td>-</td>\n",
       "      <td>10</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 (0.0%)  not matching (100.0%)\n",
       "Latest Ethnicity-\\n16 CTV3:2020                                       \n",
       "Indian                                        -                     10\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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "### 'Latest' and 'Most Frequent' 16 CTV3:2020 ethnicity expanded"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "16 CTV3:2020</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </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>10 (100.0)</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 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                                - (-)  10 (100.0)                  - (-)  \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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "##### 'Latest' and 'Most Frequent' 16 PRIMIS:2021 ethnicity"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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 PRIMIS:2021</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 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",
       "Any_other_ethnic_group                          -                    0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "### 'Latest' and 'Most Frequent' 16 PRIMIS:2021 ethnicity expanded"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latest Ethnicity-\n",
       "16 PRIMIS:2021</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "\n"
     ]
    }
   ],
   "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",
    "        df_sum = df_sum[lowerlist_16]\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",
    "\n",
    "        display(Markdown(f\"##### 'Latest' and 'Most Frequent' {definition_dict[definition]} ethnicity\"))\n",
    "        display(df_out)\n",
    "        print(\" \\n\")\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",
    "        display(Markdown(f\"### 'Latest' and 'Most Frequent' {definition_dict[definition]} ethnicity expanded\"))\n",
    "        display(df_sum)\n",
    "        print(\" \\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Discussion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "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": 385,
   "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": 386,
   "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": 387,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "## Technical details\n",
       "\n",
       "This notebook was run on 2023-02-16. The information below is based on data extracted from the OpenSAFELY-TPP database on 2023-02-15.\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",
    "\"\"\"))"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "bd7deed66f04c8f1cb07fbe5b34625baefe8e7d41af3b53c9662fc8ba397df1b"
  },
  "kernelspec": {
   "display_name": "Python 3.9.7 ('base')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}