{
 "meta": {
  "dossier": "gender",
  "product": "gender",
  "source": "Directorate of Health Services of each State and UT, as reprinted in MoSPI's Women and Men in India 2025 (table 2.19)",
  "agency": "Directorate of Health Services of each State and UT",
  "compendiumTable": "2.19",
  "indicatorCode": 31,
  "base": "as published",
  "frequency": "annual",
  "unit": "count",
  "vintage": "2026-10-09",
  "geo": "IND",
  "latestPeriod": "2022 (provisional)",
  "releaseDate": "2026-04-29",
  "revisionPolicy": "Each indicator is final as its underlying source publishes; the compendium is a curated cross-source portrait, never a single survey.",
  "coverage": "Cases and Deaths due to Acute Diarrhoeal Diseases",
  "periodLabels": {
   "2021-01-01": "2021",
   "2022-01-01": "2022 (provisional)"
  },
  "cut": "Measure, sex and state",
  "note": "MoSPI's compendium reprints this table from Directorate of Health Services of each State and UT; the figures are that agency's. The latest year is provisional at source. Values printed as \"-\" (no observation) or \"NR\" (not reported) are not baked; meta.omitted counts them.",
  "omitted": {}
 },
 "dates": [
  "2021-01-01",
  "2022-01-01"
 ],
 "series": {
  "cases__male__all_india": {
   "name": "gender_t31_cases__male__all_india",
   "label": "Cases, Male, All India",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    2870710,
    2949346
   ],
   "group": "Cases",
   "geo": "All India"
  },
  "cases__female__all_india": {
   "name": "gender_t31_cases__female__all_india",
   "label": "Cases, Female, All India",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    2499633,
    2649756
   ],
   "group": "Cases",
   "geo": "All India"
  },
  "cases__total__all_india": {
   "name": "gender_t31_cases__total__all_india",
   "label": "Cases, Total, All India",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    5370343,
    5599102
   ],
   "group": "Cases",
   "geo": "All India"
  },
  "deaths__male__all_india": {
   "name": "gender_t31_deaths__male__all_india",
   "label": "Deaths, Male, All India",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    945,
    650
   ],
   "group": "Deaths",
   "geo": "All India"
  },
  "deaths__female__all_india": {
   "name": "gender_t31_deaths__female__all_india",
   "label": "Deaths, Female, All India",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    445,
    356
   ],
   "group": "Deaths",
   "geo": "All India"
  },
  "deaths__total__all_india": {
   "name": "gender_t31_deaths__total__all_india",
   "label": "Deaths, Total, All India",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    1390,
    1006
   ],
   "group": "Deaths",
   "geo": "All India"
  },
  "cases__male__andaman_nicobar_islands": {
   "name": "gender_t31_cases__male__andaman_nicobar_islands",
   "label": "Cases, Male, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    6613,
    8258
   ],
   "group": "Cases",
   "geo": "Andaman & Nicobar  Islands"
  },
  "cases__female__andaman_nicobar_islands": {
   "name": "gender_t31_cases__female__andaman_nicobar_islands",
   "label": "Cases, Female, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    5370,
    6631
   ],
   "group": "Cases",
   "geo": "Andaman & Nicobar  Islands"
  },
  "cases__total__andaman_nicobar_islands": {
   "name": "gender_t31_cases__total__andaman_nicobar_islands",
   "label": "Cases, Total, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    11983,
    14889
   ],
   "group": "Cases",
   "geo": "Andaman & Nicobar  Islands"
  },
  "deaths__male__andaman_nicobar_islands": {
   "name": "gender_t31_deaths__male__andaman_nicobar_islands",
   "label": "Deaths, Male, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
   ],
   "group": "Deaths",
   "geo": "Andaman & Nicobar  Islands"
  },
  "deaths__female__andaman_nicobar_islands": {
   "name": "gender_t31_deaths__female__andaman_nicobar_islands",
   "label": "Deaths, Female, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
   ],
   "group": "Deaths",
   "geo": "Andaman & Nicobar  Islands"
  },
  "deaths__total__andaman_nicobar_islands": {
   "name": "gender_t31_deaths__total__andaman_nicobar_islands",
   "label": "Deaths, Total, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
   ],
   "group": "Deaths",
   "geo": "Andaman & Nicobar  Islands"
  },
  "cases__male__andhra_pradesh": {
   "name": "gender_t31_cases__male__andhra_pradesh",
   "label": "Cases, Male, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    338260,
    374022
   ],
   "group": "Cases",
   "geo": "Andhra Pradesh"
  },
  "cases__female__andhra_pradesh": {
   "name": "gender_t31_cases__female__andhra_pradesh",
   "label": "Cases, Female, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    314928,
    360316
   ],
   "group": "Cases",
   "geo": "Andhra Pradesh"
  },
  "cases__total__andhra_pradesh": {
   "name": "gender_t31_cases__total__andhra_pradesh",
   "label": "Cases, Total, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    653188,
    734338
   ],
   "group": "Cases",
   "geo": "Andhra Pradesh"
  },
  "deaths__male__andhra_pradesh": {
   "name": "gender_t31_deaths__male__andhra_pradesh",
   "label": "Deaths, Male, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    271,
    195
   ],
   "group": "Deaths",
   "geo": "Andhra Pradesh"
  },
  "deaths__female__andhra_pradesh": {
   "name": "gender_t31_deaths__female__andhra_pradesh",
   "label": "Deaths, Female, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    88,
    51
   ],
   "group": "Deaths",
   "geo": "Andhra Pradesh"
  },
  "deaths__total__andhra_pradesh": {
   "name": "gender_t31_deaths__total__andhra_pradesh",
   "label": "Deaths, Total, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    359,
    246
   ],
   "group": "Deaths",
   "geo": "Andhra Pradesh"
  },
  "cases__male__arunachal_pradesh": {
   "name": "gender_t31_cases__male__arunachal_pradesh",
   "label": "Cases, Male, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    7002,
    4232
   ],
   "group": "Cases",
   "geo": "Arunachal Pradesh"
  },
  "cases__female__arunachal_pradesh": {
   "name": "gender_t31_cases__female__arunachal_pradesh",
   "label": "Cases, Female, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    6454,
    4141
   ],
   "group": "Cases",
   "geo": "Arunachal Pradesh"
  },
  "cases__total__arunachal_pradesh": {
   "name": "gender_t31_cases__total__arunachal_pradesh",
   "label": "Cases, Total, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    13456,
    8373
   ],
   "group": "Cases",
   "geo": "Arunachal Pradesh"
  },
  "deaths__male__arunachal_pradesh": {
   "name": "gender_t31_deaths__male__arunachal_pradesh",
   "label": "Deaths, Male, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
   ],
   "group": "Deaths",
   "geo": "Arunachal Pradesh"
  },
  "deaths__female__arunachal_pradesh": {
   "name": "gender_t31_deaths__female__arunachal_pradesh",
   "label": "Deaths, Female, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
   ],
   "group": "Deaths",
   "geo": "Arunachal Pradesh"
  },
  "deaths__total__arunachal_pradesh": {
   "name": "gender_t31_deaths__total__arunachal_pradesh",
   "label": "Deaths, Total, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
   ],
   "group": "Deaths",
   "geo": "Arunachal Pradesh"
  },
  "cases__male__assam": {
   "name": "gender_t31_cases__male__assam",
   "label": "Cases, Male, Assam",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    42146,
    55753
   ],
   "group": "Cases",
   "geo": "Assam"
  },
  "cases__female__assam": {
   "name": "gender_t31_cases__female__assam",
   "label": "Cases, Female, Assam",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    38119,
    43265
   ],
   "group": "Cases",
   "geo": "Assam"
  },
  "cases__total__assam": {
   "name": "gender_t31_cases__total__assam",
   "label": "Cases, Total, Assam",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    80265,
    99018
   ],
   "group": "Cases",
   "geo": "Assam"
  },
  "deaths__male__assam": {
   "name": "gender_t31_deaths__male__assam",
   "label": "Deaths, Male, Assam",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    180,
    79
   ],
   "group": "Deaths",
   "geo": "Assam"
  },
  "deaths__female__assam": {
   "name": "gender_t31_deaths__female__assam",
   "label": "Deaths, Female, Assam",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    57,
    31
   ],
   "group": "Deaths",
   "geo": "Assam"
  },
  "deaths__total__assam": {
   "name": "gender_t31_deaths__total__assam",
   "label": "Deaths, Total, Assam",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    237,
    110
   ],
   "group": "Deaths",
   "geo": "Assam"
  },
  "cases__male__bihar": {
   "name": "gender_t31_cases__male__bihar",
   "label": "Cases, Male, Bihar",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    23229,
    35944
   ],
   "group": "Cases",
   "geo": "Bihar"
  },
  "cases__female__bihar": {
   "name": "gender_t31_cases__female__bihar",
   "label": "Cases, Female, Bihar",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    17990,
    32598
   ],
   "group": "Cases",
   "geo": "Bihar"
  },
  "cases__total__bihar": {
   "name": "gender_t31_cases__total__bihar",
   "label": "Cases, Total, Bihar",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    41219,
    68542
   ],
   "group": "Cases",
   "geo": "Bihar"
  },
  "deaths__male__bihar": {
   "name": "gender_t31_deaths__male__bihar",
   "label": "Deaths, Male, Bihar",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    8,
    0
   ],
   "group": "Deaths",
   "geo": "Bihar"
  },
  "deaths__female__bihar": {
   "name": "gender_t31_deaths__female__bihar",
   "label": "Deaths, Female, Bihar",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    15,
    1
   ],
   "group": "Deaths",
   "geo": "Bihar"
  },
  "deaths__total__bihar": {
   "name": "gender_t31_deaths__total__bihar",
   "label": "Deaths, Total, Bihar",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    23,
    1
   ],
   "group": "Deaths",
   "geo": "Bihar"
  },
  "cases__male__chandigarh": {
   "name": "gender_t31_cases__male__chandigarh",
   "label": "Cases, Male, Chandigarh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    17471,
    15799
   ],
   "group": "Cases",
   "geo": "Chandigarh"
  },
  "cases__female__chandigarh": {
   "name": "gender_t31_cases__female__chandigarh",
   "label": "Cases, Female, Chandigarh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    13417,
    13826
   ],
   "group": "Cases",
   "geo": "Chandigarh"
  },
  "cases__total__chandigarh": {
   "name": "gender_t31_cases__total__chandigarh",
   "label": "Cases, Total, Chandigarh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    30888,
    29625
   ],
   "group": "Cases",
   "geo": "Chandigarh"
  },
  "deaths__male__chandigarh": {
   "name": "gender_t31_deaths__male__chandigarh",
   "label": "Deaths, Male, Chandigarh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    31,
    20
   ],
   "group": "Deaths",
   "geo": "Chandigarh"
  },
  "deaths__female__chandigarh": {
   "name": "gender_t31_deaths__female__chandigarh",
   "label": "Deaths, Female, Chandigarh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    26,
    16
   ],
   "group": "Deaths",
   "geo": "Chandigarh"
  },
  "deaths__total__chandigarh": {
   "name": "gender_t31_deaths__total__chandigarh",
   "label": "Deaths, Total, Chandigarh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    57,
    36
   ],
   "group": "Deaths",
   "geo": "Chandigarh"
  },
  "cases__male__chhattisgarh": {
   "name": "gender_t31_cases__male__chhattisgarh",
   "label": "Cases, Male, Chhattisgarh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    80750,
    3096
   ],
   "group": "Cases",
   "geo": "Chhattisgarh"
  },
  "cases__female__chhattisgarh": {
   "name": "gender_t31_cases__female__chhattisgarh",
   "label": "Cases, Female, Chhattisgarh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    69926,
    2206
   ],
   "group": "Cases",
   "geo": "Chhattisgarh"
  },
  "cases__total__chhattisgarh": {
   "name": "gender_t31_cases__total__chhattisgarh",
   "label": "Cases, Total, Chhattisgarh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    150676,
    5302
   ],
   "group": "Cases",
   "geo": "Chhattisgarh"
  },
  "deaths__male__chhattisgarh": {
   "name": "gender_t31_deaths__male__chhattisgarh",
   "label": "Deaths, Male, Chhattisgarh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    73,
    2
   ],
   "group": "Deaths",
   "geo": "Chhattisgarh"
  },
  "deaths__female__chhattisgarh": {
   "name": "gender_t31_deaths__female__chhattisgarh",
   "label": "Deaths, Female, Chhattisgarh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    32,
    10
   ],
   "group": "Deaths",
   "geo": "Chhattisgarh"
  },
  "deaths__total__chhattisgarh": {
   "name": "gender_t31_deaths__total__chhattisgarh",
   "label": "Deaths, Total, Chhattisgarh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    105,
    12
   ],
   "group": "Deaths",
   "geo": "Chhattisgarh"
  },
  "cases__male__dadra_nagar_haveli": {
   "name": "gender_t31_cases__male__dadra_nagar_haveli",
   "label": "Cases, Male, Dadra & Nagar Haveli",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    6434,
    7220
   ],
   "group": "Cases",
   "geo": "Dadra & Nagar Haveli"
  },
  "cases__female__dadra_nagar_haveli": {
   "name": "gender_t31_cases__female__dadra_nagar_haveli",
   "label": "Cases, Female, Dadra & Nagar Haveli",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    6182,
    6784
   ],
   "group": "Cases",
   "geo": "Dadra & Nagar Haveli"
  },
  "cases__total__dadra_nagar_haveli": {
   "name": "gender_t31_cases__total__dadra_nagar_haveli",
   "label": "Cases, Total, Dadra & Nagar Haveli",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    12616,
    14004
   ],
   "group": "Cases",
   "geo": "Dadra & Nagar Haveli"
  },
  "deaths__male__dadra_nagar_haveli": {
   "name": "gender_t31_deaths__male__dadra_nagar_haveli",
   "label": "Deaths, Male, Dadra & Nagar Haveli",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
   ],
   "group": "Deaths",
   "geo": "Dadra & Nagar Haveli"
  },
  "deaths__female__dadra_nagar_haveli": {
   "name": "gender_t31_deaths__female__dadra_nagar_haveli",
   "label": "Deaths, Female, Dadra & Nagar Haveli",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
   ],
   "group": "Deaths",
   "geo": "Dadra & Nagar Haveli"
  },
  "deaths__total__dadra_nagar_haveli": {
   "name": "gender_t31_deaths__total__dadra_nagar_haveli",
   "label": "Deaths, Total, Dadra & Nagar Haveli",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
   ],
   "group": "Deaths",
   "geo": "Dadra & Nagar Haveli"
  },
  "cases__male__daman_diu": {
   "name": "gender_t31_cases__male__daman_diu",
   "label": "Cases, Male, Daman & Diu",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    1323,
    2462
   ],
   "group": "Cases",
   "geo": "Daman & Diu"
  },
  "cases__female__daman_diu": {
   "name": "gender_t31_cases__female__daman_diu",
   "label": "Cases, Female, Daman & Diu",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    1224,
    2061
   ],
   "group": "Cases",
   "geo": "Daman & Diu"
  },
  "cases__total__daman_diu": {
   "name": "gender_t31_cases__total__daman_diu",
   "label": "Cases, Total, Daman & Diu",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    2547,
    4523
   ],
   "group": "Cases",
   "geo": "Daman & Diu"
  },
  "deaths__male__daman_diu": {
   "name": "gender_t31_deaths__male__daman_diu",
   "label": "Deaths, Male, Daman & Diu",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
   ],
   "group": "Deaths",
   "geo": "Daman & Diu"
  },
  "deaths__female__daman_diu": {
   "name": "gender_t31_deaths__female__daman_diu",
   "label": "Deaths, Female, Daman & Diu",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    1
   ],
   "group": "Deaths",
   "geo": "Daman & Diu"
  },
  "deaths__total__daman_diu": {
   "name": "gender_t31_deaths__total__daman_diu",
   "label": "Deaths, Total, Daman & Diu",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    1
   ],
   "group": "Deaths",
   "geo": "Daman & Diu"
  },
  "cases__male__delhi": {
   "name": "gender_t31_cases__male__delhi",
   "label": "Cases, Male, Delhi",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    61601,
    83245
   ],
   "group": "Cases",
   "geo": "Delhi"
  },
  "cases__female__delhi": {
   "name": "gender_t31_cases__female__delhi",
   "label": "Cases, Female, Delhi",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    58606,
    80143
   ],
   "group": "Cases",
   "geo": "Delhi"
  },
  "cases__total__delhi": {
   "name": "gender_t31_cases__total__delhi",
   "label": "Cases, Total, Delhi",
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   "unit": "count",
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    0
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   "group": "Deaths",
   "geo": "Delhi"
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   "data": [
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    0
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   "group": "Deaths",
   "geo": "Delhi"
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   "group": "Deaths",
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   "color": "#5F6675",
   "unit": "count",
   "data": [
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    8871
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   "group": "Cases",
   "geo": "Goa"
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  "cases__female__goa": {
   "name": "gender_t31_cases__female__goa",
   "label": "Cases, Female, Goa",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    7182
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   "group": "Cases",
   "geo": "Goa"
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  "cases__total__goa": {
   "name": "gender_t31_cases__total__goa",
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   "color": "#5F6675",
   "unit": "count",
   "data": [
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    16053
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   "group": "Cases",
   "geo": "Goa"
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  "deaths__male__goa": {
   "name": "gender_t31_deaths__male__goa",
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   "unit": "count",
   "data": [
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    1
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   "group": "Deaths",
   "geo": "Goa"
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  "deaths__female__goa": {
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   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Goa"
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   "label": "Deaths, Total, Goa",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    1
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   "group": "Deaths",
   "geo": "Goa"
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   "name": "gender_t31_cases__male__gujarat",
   "label": "Cases, Male, Gujarat",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    115201
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   "group": "Cases",
   "geo": "Gujarat"
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  "cases__female__gujarat": {
   "name": "gender_t31_cases__female__gujarat",
   "label": "Cases, Female, Gujarat",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    105113
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   "group": "Cases",
   "geo": "Gujarat"
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  "cases__total__gujarat": {
   "name": "gender_t31_cases__total__gujarat",
   "label": "Cases, Total, Gujarat",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    220314
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   "group": "Cases",
   "geo": "Gujarat"
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  "deaths__male__gujarat": {
   "name": "gender_t31_deaths__male__gujarat",
   "label": "Deaths, Male, Gujarat",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    61
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   "group": "Deaths",
   "geo": "Gujarat"
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  "deaths__female__gujarat": {
   "name": "gender_t31_deaths__female__gujarat",
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   "unit": "count",
   "data": [
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    38
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   "group": "Deaths",
   "geo": "Gujarat"
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   "name": "gender_t31_deaths__total__gujarat",
   "label": "Deaths, Total, Gujarat",
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   "unit": "count",
   "data": [
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    99
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   "group": "Deaths",
   "geo": "Gujarat"
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   "name": "gender_t31_cases__male__haryana",
   "label": "Cases, Male, Haryana",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    52562
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   "group": "Cases",
   "geo": "Haryana"
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  "cases__female__haryana": {
   "name": "gender_t31_cases__female__haryana",
   "label": "Cases, Female, Haryana",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    43014
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   "group": "Cases",
   "geo": "Haryana"
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  "cases__total__haryana": {
   "name": "gender_t31_cases__total__haryana",
   "label": "Cases, Total, Haryana",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    95576
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   "group": "Cases",
   "geo": "Haryana"
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  "deaths__male__haryana": {
   "name": "gender_t31_deaths__male__haryana",
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   "color": "#5F6675",
   "unit": "count",
   "data": [
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    54
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   "group": "Deaths",
   "geo": "Haryana"
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  "deaths__female__haryana": {
   "name": "gender_t31_deaths__female__haryana",
   "label": "Deaths, Female, Haryana",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    26
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   "group": "Deaths",
   "geo": "Haryana"
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  "deaths__total__haryana": {
   "name": "gender_t31_deaths__total__haryana",
   "label": "Deaths, Total, Haryana",
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   "unit": "count",
   "data": [
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    80
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   "group": "Deaths",
   "geo": "Haryana"
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   "name": "gender_t31_cases__male__himachal_pradesh",
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   "color": "#5F6675",
   "unit": "count",
   "data": [
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    124816
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   "group": "Cases",
   "geo": "Himachal Pradesh"
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   "color": "#5F6675",
   "unit": "count",
   "data": [
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    129758
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   "group": "Cases",
   "geo": "Himachal Pradesh"
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  "cases__total__himachal_pradesh": {
   "name": "gender_t31_cases__total__himachal_pradesh",
   "label": "Cases, Total, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    254574
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   "group": "Cases",
   "geo": "Himachal Pradesh"
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   "name": "gender_t31_deaths__male__himachal_pradesh",
   "label": "Deaths, Male, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    9
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   "group": "Deaths",
   "geo": "Himachal Pradesh"
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  "deaths__female__himachal_pradesh": {
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   "unit": "count",
   "data": [
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    6
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   "group": "Deaths",
   "geo": "Himachal Pradesh"
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  "deaths__total__himachal_pradesh": {
   "name": "gender_t31_deaths__total__himachal_pradesh",
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   "unit": "count",
   "data": [
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    15
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   "group": "Deaths",
   "geo": "Himachal Pradesh"
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   "name": "gender_t31_cases__male__jammu",
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   "color": "#5F6675",
   "unit": "count",
   "data": [
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    74130
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   "group": "Cases",
   "geo": "Jammu"
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  "cases__female__jammu": {
   "name": "gender_t31_cases__female__jammu",
   "label": "Cases, Female, Jammu",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    64013
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   "group": "Cases",
   "geo": "Jammu"
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  "cases__total__jammu": {
   "name": "gender_t31_cases__total__jammu",
   "label": "Cases, Total, Jammu",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    138143
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   "group": "Cases",
   "geo": "Jammu"
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  "deaths__male__jammu": {
   "name": "gender_t31_deaths__male__jammu",
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   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Jammu"
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  "deaths__female__jammu": {
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   "data": [
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    0
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   "group": "Deaths",
   "geo": "Jammu"
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   "label": "Deaths, Total, Jammu",
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    0
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   "group": "Deaths",
   "geo": "Jammu"
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   "color": "#5F6675",
   "unit": "count",
   "data": [
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    34181
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   "group": "Cases",
   "geo": "Jharkhand"
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   "name": "gender_t31_cases__female__jharkhand",
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   "color": "#5F6675",
   "unit": "count",
   "data": [
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    29427
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   "group": "Cases",
   "geo": "Jharkhand"
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   "name": "gender_t31_cases__total__jharkhand",
   "label": "Cases, Total, Jharkhand",
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   "unit": "count",
   "data": [
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    63608
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   "group": "Cases",
   "geo": "Jharkhand"
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   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Jharkhand"
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    0
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   "group": "Deaths",
   "geo": "Jharkhand"
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   "group": "Deaths",
   "geo": "Jharkhand"
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   "unit": "count",
   "data": [
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    248151
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   "group": "Cases",
   "geo": "Karnataka"
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   "unit": "count",
   "data": [
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    272624
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   "group": "Cases",
   "geo": "Karnataka"
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   "unit": "count",
   "data": [
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   "group": "Cases",
   "geo": "Karnataka"
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    2
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   "group": "Deaths",
   "geo": "Karnataka"
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   "unit": "count",
   "data": [
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    1
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   "group": "Deaths",
   "geo": "Karnataka"
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   "name": "gender_t31_deaths__total__karnataka",
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   "unit": "count",
   "data": [
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    3
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   "group": "Deaths",
   "geo": "Karnataka"
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   "unit": "count",
   "data": [
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    61548
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   "group": "Cases",
   "geo": "Kashmir"
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   "name": "gender_t31_cases__female__kashmir",
   "label": "Cases, Female, Kashmir",
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   "unit": "count",
   "data": [
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    58906
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   "group": "Cases",
   "geo": "Kashmir"
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   "name": "gender_t31_cases__total__kashmir",
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   "unit": "count",
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    120454
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   "group": "Cases",
   "geo": "Kashmir"
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   "unit": "count",
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    0
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   "group": "Deaths",
   "geo": "Kashmir"
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   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Kashmir"
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   "unit": "count",
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    0
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   "group": "Deaths",
   "geo": "Kashmir"
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   "label": "Cases, Male, Kerala",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    234690
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   "group": "Cases",
   "geo": "Kerala"
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   "name": "gender_t31_cases__female__kerala",
   "label": "Cases, Female, Kerala",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    231521
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   "group": "Cases",
   "geo": "Kerala"
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  "cases__total__kerala": {
   "name": "gender_t31_cases__total__kerala",
   "label": "Cases, Total, Kerala",
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   "unit": "count",
   "data": [
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    466211
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   "group": "Cases",
   "geo": "Kerala"
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    1
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   "group": "Deaths",
   "geo": "Kerala"
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   "data": [
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    1
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   "group": "Deaths",
   "geo": "Kerala"
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    2
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   "group": "Deaths",
   "geo": "Kerala"
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   "unit": "count",
   "data": [
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    4550
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   "group": "Cases",
   "geo": "Ladakh"
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   "name": "gender_t31_cases__female__ladakh",
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   "unit": "count",
   "data": [
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    4471
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   "group": "Cases",
   "geo": "Ladakh"
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   "name": "gender_t31_cases__total__ladakh",
   "label": "Cases, Total, Ladakh",
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   "unit": "count",
   "data": [
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    9021
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   "group": "Cases",
   "geo": "Ladakh"
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    16
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   "group": "Deaths",
   "geo": "Ladakh"
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    17
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   "group": "Deaths",
   "geo": "Ladakh"
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   "label": "Deaths, Total, Ladakh",
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   "unit": "count",
   "data": [
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    33
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   "group": "Deaths",
   "geo": "Ladakh"
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    1644
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   "group": "Cases",
   "geo": "Lakshadweep"
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   "unit": "count",
   "data": [
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    1499
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   "group": "Cases",
   "geo": "Lakshadweep"
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   "unit": "count",
   "data": [
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    3143
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   "group": "Cases",
   "geo": "Lakshadweep"
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    0
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   "group": "Deaths",
   "geo": "Lakshadweep"
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    0
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   "group": "Deaths",
   "geo": "Lakshadweep"
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    0
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   "group": "Deaths",
   "geo": "Lakshadweep"
  },
  "cases__male__madhya_pradesh": {
   "name": "gender_t31_cases__male__madhya_pradesh",
   "label": "Cases, Male, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    29872,
    32612
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   "group": "Cases",
   "geo": "Madhya Pradesh"
  },
  "cases__female__madhya_pradesh": {
   "name": "gender_t31_cases__female__madhya_pradesh",
   "label": "Cases, Female, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    12336
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   "group": "Cases",
   "geo": "Madhya Pradesh"
  },
  "cases__total__madhya_pradesh": {
   "name": "gender_t31_cases__total__madhya_pradesh",
   "label": "Cases, Total, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    40929,
    44948
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   "group": "Cases",
   "geo": "Madhya Pradesh"
  },
  "deaths__male__madhya_pradesh": {
   "name": "gender_t31_deaths__male__madhya_pradesh",
   "label": "Deaths, Male, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
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   "group": "Deaths",
   "geo": "Madhya Pradesh"
  },
  "deaths__female__madhya_pradesh": {
   "name": "gender_t31_deaths__female__madhya_pradesh",
   "label": "Deaths, Female, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
   ],
   "group": "Deaths",
   "geo": "Madhya Pradesh"
  },
  "deaths__total__madhya_pradesh": {
   "name": "gender_t31_deaths__total__madhya_pradesh",
   "label": "Deaths, Total, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
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   "group": "Deaths",
   "geo": "Madhya Pradesh"
  },
  "cases__male__maharashtra": {
   "name": "gender_t31_cases__male__maharashtra",
   "label": "Cases, Male, Maharashtra",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    50990,
    53520
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   "group": "Cases",
   "geo": "Maharashtra"
  },
  "cases__female__maharashtra": {
   "name": "gender_t31_cases__female__maharashtra",
   "label": "Cases, Female, Maharashtra",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    32135,
    33453
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   "group": "Cases",
   "geo": "Maharashtra"
  },
  "cases__total__maharashtra": {
   "name": "gender_t31_cases__total__maharashtra",
   "label": "Cases, Total, Maharashtra",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    83125,
    86973
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   "group": "Cases",
   "geo": "Maharashtra"
  },
  "deaths__male__maharashtra": {
   "name": "gender_t31_deaths__male__maharashtra",
   "label": "Deaths, Male, Maharashtra",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
   ],
   "group": "Deaths",
   "geo": "Maharashtra"
  },
  "deaths__female__maharashtra": {
   "name": "gender_t31_deaths__female__maharashtra",
   "label": "Deaths, Female, Maharashtra",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
   ],
   "group": "Deaths",
   "geo": "Maharashtra"
  },
  "deaths__total__maharashtra": {
   "name": "gender_t31_deaths__total__maharashtra",
   "label": "Deaths, Total, Maharashtra",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
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   "group": "Deaths",
   "geo": "Maharashtra"
  },
  "cases__male__manipur": {
   "name": "gender_t31_cases__male__manipur",
   "label": "Cases, Male, Manipur",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    5553,
    6100
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   "group": "Cases",
   "geo": "Manipur"
  },
  "cases__female__manipur": {
   "name": "gender_t31_cases__female__manipur",
   "label": "Cases, Female, Manipur",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    5267,
    6386
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   "group": "Cases",
   "geo": "Manipur"
  },
  "cases__total__manipur": {
   "name": "gender_t31_cases__total__manipur",
   "label": "Cases, Total, Manipur",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    10820,
    12486
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   "group": "Cases",
   "geo": "Manipur"
  },
  "deaths__male__manipur": {
   "name": "gender_t31_deaths__male__manipur",
   "label": "Deaths, Male, Manipur",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    3,
    2
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   "group": "Deaths",
   "geo": "Manipur"
  },
  "deaths__female__manipur": {
   "name": "gender_t31_deaths__female__manipur",
   "label": "Deaths, Female, Manipur",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    5,
    0
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   "group": "Deaths",
   "geo": "Manipur"
  },
  "deaths__total__manipur": {
   "name": "gender_t31_deaths__total__manipur",
   "label": "Deaths, Total, Manipur",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    8,
    2
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   "group": "Deaths",
   "geo": "Manipur"
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  "cases__male__meghalaya": {
   "name": "gender_t31_cases__male__meghalaya",
   "label": "Cases, Male, Meghalaya",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    22154,
    19781
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   "group": "Cases",
   "geo": "Meghalaya"
  },
  "cases__female__meghalaya": {
   "name": "gender_t31_cases__female__meghalaya",
   "label": "Cases, Female, Meghalaya",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    28044,
    26109
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   "group": "Cases",
   "geo": "Meghalaya"
  },
  "cases__total__meghalaya": {
   "name": "gender_t31_cases__total__meghalaya",
   "label": "Cases, Total, Meghalaya",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    45890
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   "group": "Cases",
   "geo": "Meghalaya"
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  "deaths__male__meghalaya": {
   "name": "gender_t31_deaths__male__meghalaya",
   "label": "Deaths, Male, Meghalaya",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    4,
    2
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   "group": "Deaths",
   "geo": "Meghalaya"
  },
  "deaths__female__meghalaya": {
   "name": "gender_t31_deaths__female__meghalaya",
   "label": "Deaths, Female, Meghalaya",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    3,
    4
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   "group": "Deaths",
   "geo": "Meghalaya"
  },
  "deaths__total__meghalaya": {
   "name": "gender_t31_deaths__total__meghalaya",
   "label": "Deaths, Total, Meghalaya",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    6
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   "group": "Deaths",
   "geo": "Meghalaya"
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  "cases__male__mizoram": {
   "name": "gender_t31_cases__male__mizoram",
   "label": "Cases, Male, Mizoram",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    4034,
    4789
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   "group": "Cases",
   "geo": "Mizoram"
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  "cases__female__mizoram": {
   "name": "gender_t31_cases__female__mizoram",
   "label": "Cases, Female, Mizoram",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    4017,
    4771
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   "group": "Cases",
   "geo": "Mizoram"
  },
  "cases__total__mizoram": {
   "name": "gender_t31_cases__total__mizoram",
   "label": "Cases, Total, Mizoram",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    9560
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   "group": "Cases",
   "geo": "Mizoram"
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  "deaths__male__mizoram": {
   "name": "gender_t31_deaths__male__mizoram",
   "label": "Deaths, Male, Mizoram",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    4
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   "group": "Deaths",
   "geo": "Mizoram"
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  "deaths__female__mizoram": {
   "name": "gender_t31_deaths__female__mizoram",
   "label": "Deaths, Female, Mizoram",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    1
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   "group": "Deaths",
   "geo": "Mizoram"
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  "deaths__total__mizoram": {
   "name": "gender_t31_deaths__total__mizoram",
   "label": "Deaths, Total, Mizoram",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    5
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   "group": "Deaths",
   "geo": "Mizoram"
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  "cases__male__nagaland": {
   "name": "gender_t31_cases__male__nagaland",
   "label": "Cases, Male, Nagaland",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    1913
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   "group": "Cases",
   "geo": "Nagaland"
  },
  "cases__female__nagaland": {
   "name": "gender_t31_cases__female__nagaland",
   "label": "Cases, Female, Nagaland",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    1953
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   "group": "Cases",
   "geo": "Nagaland"
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  "cases__total__nagaland": {
   "name": "gender_t31_cases__total__nagaland",
   "label": "Cases, Total, Nagaland",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    3866
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   "group": "Cases",
   "geo": "Nagaland"
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  "deaths__male__nagaland": {
   "name": "gender_t31_deaths__male__nagaland",
   "label": "Deaths, Male, Nagaland",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    0,
    0
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   "group": "Deaths",
   "geo": "Nagaland"
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  "deaths__female__nagaland": {
   "name": "gender_t31_deaths__female__nagaland",
   "label": "Deaths, Female, Nagaland",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Nagaland"
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  "deaths__total__nagaland": {
   "name": "gender_t31_deaths__total__nagaland",
   "label": "Deaths, Total, Nagaland",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Nagaland"
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  "cases__male__odisha": {
   "name": "gender_t31_cases__male__odisha",
   "label": "Cases, Male, Odisha",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    167838
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   "group": "Cases",
   "geo": "Odisha"
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  "cases__female__odisha": {
   "name": "gender_t31_cases__female__odisha",
   "label": "Cases, Female, Odisha",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    135480
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   "group": "Cases",
   "geo": "Odisha"
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  "cases__total__odisha": {
   "name": "gender_t31_cases__total__odisha",
   "label": "Cases, Total, Odisha",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    303318
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   "group": "Cases",
   "geo": "Odisha"
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  "deaths__male__odisha": {
   "name": "gender_t31_deaths__male__odisha",
   "label": "Deaths, Male, Odisha",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    32,
    39
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   "group": "Deaths",
   "geo": "Odisha"
  },
  "deaths__female__odisha": {
   "name": "gender_t31_deaths__female__odisha",
   "label": "Deaths, Female, Odisha",
   "color": "#5F6675",
   "unit": "count",
   "data": [
    28,
    16
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   "group": "Deaths",
   "geo": "Odisha"
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  "deaths__total__odisha": {
   "name": "gender_t31_deaths__total__odisha",
   "label": "Deaths, Total, Odisha",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    55
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   "group": "Deaths",
   "geo": "Odisha"
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  "cases__male__puducherry": {
   "name": "gender_t31_cases__male__puducherry",
   "label": "Cases, Male, Puducherry",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    3404
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   "group": "Cases",
   "geo": "Puducherry"
  },
  "cases__female__puducherry": {
   "name": "gender_t31_cases__female__puducherry",
   "label": "Cases, Female, Puducherry",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    3268
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   "group": "Cases",
   "geo": "Puducherry"
  },
  "cases__total__puducherry": {
   "name": "gender_t31_cases__total__puducherry",
   "label": "Cases, Total, Puducherry",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    6672
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   "group": "Cases",
   "geo": "Puducherry"
  },
  "deaths__male__puducherry": {
   "name": "gender_t31_deaths__male__puducherry",
   "label": "Deaths, Male, Puducherry",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Puducherry"
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  "deaths__female__puducherry": {
   "name": "gender_t31_deaths__female__puducherry",
   "label": "Deaths, Female, Puducherry",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Puducherry"
  },
  "deaths__total__puducherry": {
   "name": "gender_t31_deaths__total__puducherry",
   "label": "Deaths, Total, Puducherry",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Puducherry"
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  "cases__male__punjab": {
   "name": "gender_t31_cases__male__punjab",
   "label": "Cases, Male, Punjab",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    58198
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   "group": "Cases",
   "geo": "Punjab"
  },
  "cases__female__punjab": {
   "name": "gender_t31_cases__female__punjab",
   "label": "Cases, Female, Punjab",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    56709
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   "group": "Cases",
   "geo": "Punjab"
  },
  "cases__total__punjab": {
   "name": "gender_t31_cases__total__punjab",
   "label": "Cases, Total, Punjab",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    114907
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   "group": "Cases",
   "geo": "Punjab"
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  "deaths__male__punjab": {
   "name": "gender_t31_deaths__male__punjab",
   "label": "Deaths, Male, Punjab",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    15
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   "group": "Deaths",
   "geo": "Punjab"
  },
  "deaths__female__punjab": {
   "name": "gender_t31_deaths__female__punjab",
   "label": "Deaths, Female, Punjab",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    18
   ],
   "group": "Deaths",
   "geo": "Punjab"
  },
  "deaths__total__punjab": {
   "name": "gender_t31_deaths__total__punjab",
   "label": "Deaths, Total, Punjab",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    33
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   "group": "Deaths",
   "geo": "Punjab"
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  "cases__male__rajasthan": {
   "name": "gender_t31_cases__male__rajasthan",
   "label": "Cases, Male, Rajasthan",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    361353
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   "group": "Cases",
   "geo": "Rajasthan"
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  "cases__female__rajasthan": {
   "name": "gender_t31_cases__female__rajasthan",
   "label": "Cases, Female, Rajasthan",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    275941
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   "group": "Cases",
   "geo": "Rajasthan"
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  "cases__total__rajasthan": {
   "name": "gender_t31_cases__total__rajasthan",
   "label": "Cases, Total, Rajasthan",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    637294
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   "group": "Cases",
   "geo": "Rajasthan"
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   "name": "gender_t31_deaths__male__rajasthan",
   "label": "Deaths, Male, Rajasthan",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    9
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   "group": "Deaths",
   "geo": "Rajasthan"
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  "deaths__female__rajasthan": {
   "name": "gender_t31_deaths__female__rajasthan",
   "label": "Deaths, Female, Rajasthan",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    8
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   "group": "Deaths",
   "geo": "Rajasthan"
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  "deaths__total__rajasthan": {
   "name": "gender_t31_deaths__total__rajasthan",
   "label": "Deaths, Total, Rajasthan",
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   "unit": "count",
   "data": [
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    17
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   "group": "Deaths",
   "geo": "Rajasthan"
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   "name": "gender_t31_cases__male__sikkim",
   "label": "Cases, Male, Sikkim",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    10488
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   "group": "Cases",
   "geo": "Sikkim"
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  "cases__female__sikkim": {
   "name": "gender_t31_cases__female__sikkim",
   "label": "Cases, Female, Sikkim",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    10626
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   "group": "Cases",
   "geo": "Sikkim"
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  "cases__total__sikkim": {
   "name": "gender_t31_cases__total__sikkim",
   "label": "Cases, Total, Sikkim",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    21114
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   "group": "Cases",
   "geo": "Sikkim"
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  "deaths__male__sikkim": {
   "name": "gender_t31_deaths__male__sikkim",
   "label": "Deaths, Male, Sikkim",
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   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Sikkim"
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  "deaths__female__sikkim": {
   "name": "gender_t31_deaths__female__sikkim",
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   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Sikkim"
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  "deaths__total__sikkim": {
   "name": "gender_t31_deaths__total__sikkim",
   "label": "Deaths, Total, Sikkim",
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   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Sikkim"
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   "name": "gender_t31_cases__male__tamil_nadu",
   "label": "Cases, Male, Tamil Nadu",
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   "unit": "count",
   "data": [
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    85026
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   "group": "Cases",
   "geo": "Tamil Nadu"
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  "cases__female__tamil_nadu": {
   "name": "gender_t31_cases__female__tamil_nadu",
   "label": "Cases, Female, Tamil Nadu",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    80935
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   "group": "Cases",
   "geo": "Tamil Nadu"
  },
  "cases__total__tamil_nadu": {
   "name": "gender_t31_cases__total__tamil_nadu",
   "label": "Cases, Total, Tamil Nadu",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    165961
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   "group": "Cases",
   "geo": "Tamil Nadu"
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   "name": "gender_t31_deaths__male__tamil_nadu",
   "label": "Deaths, Male, Tamil Nadu",
   "color": "#5F6675",
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   "data": [
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    48
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   "group": "Deaths",
   "geo": "Tamil Nadu"
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   "name": "gender_t31_deaths__female__tamil_nadu",
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   "data": [
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    42
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   "group": "Deaths",
   "geo": "Tamil Nadu"
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  "deaths__total__tamil_nadu": {
   "name": "gender_t31_deaths__total__tamil_nadu",
   "label": "Deaths, Total, Tamil Nadu",
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   "unit": "count",
   "data": [
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   "group": "Deaths",
   "geo": "Tamil Nadu"
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   "name": "gender_t31_cases__male__telangana",
   "label": "Cases, Male, Telangana",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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   "geo": "Telangana"
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   "name": "gender_t31_cases__female__telangana",
   "label": "Cases, Female, Telangana",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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   "group": "Cases",
   "geo": "Telangana"
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  "cases__total__telangana": {
   "name": "gender_t31_cases__total__telangana",
   "label": "Cases, Total, Telangana",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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   "group": "Cases",
   "geo": "Telangana"
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  "deaths__male__telangana": {
   "name": "gender_t31_deaths__male__telangana",
   "label": "Deaths, Male, Telangana",
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   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Telangana"
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  "deaths__female__telangana": {
   "name": "gender_t31_deaths__female__telangana",
   "label": "Deaths, Female, Telangana",
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   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Telangana"
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  "deaths__total__telangana": {
   "name": "gender_t31_deaths__total__telangana",
   "label": "Deaths, Total, Telangana",
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   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Telangana"
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   "name": "gender_t31_cases__male__tripura",
   "label": "Cases, Male, Tripura",
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   "unit": "count",
   "data": [
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    14248
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   "group": "Cases",
   "geo": "Tripura"
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  "cases__female__tripura": {
   "name": "gender_t31_cases__female__tripura",
   "label": "Cases, Female, Tripura",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    14054
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   "group": "Cases",
   "geo": "Tripura"
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  "cases__total__tripura": {
   "name": "gender_t31_cases__total__tripura",
   "label": "Cases, Total, Tripura",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    28302
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   "group": "Cases",
   "geo": "Tripura"
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  "deaths__male__tripura": {
   "name": "gender_t31_deaths__male__tripura",
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   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Tripura"
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   "name": "gender_t31_deaths__female__tripura",
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   "data": [
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   "group": "Deaths",
   "geo": "Tripura"
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   "name": "gender_t31_deaths__total__tripura",
   "label": "Deaths, Total, Tripura",
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   "group": "Deaths",
   "geo": "Tripura"
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   "name": "gender_t31_cases__male__uttarakhand",
   "label": "Cases, Male, Uttarakhand",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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    59270
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   "group": "Cases",
   "geo": "Uttarakhand"
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   "name": "gender_t31_cases__female__uttarakhand",
   "label": "Cases, Female, Uttarakhand",
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   "unit": "count",
   "data": [
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    46449
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   "group": "Cases",
   "geo": "Uttarakhand"
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  "cases__total__uttarakhand": {
   "name": "gender_t31_cases__total__uttarakhand",
   "label": "Cases, Total, Uttarakhand",
   "color": "#5F6675",
   "unit": "count",
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   "group": "Cases",
   "geo": "Uttarakhand"
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   "name": "gender_t31_deaths__male__uttarakhand",
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   "unit": "count",
   "data": [
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    0
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   "group": "Deaths",
   "geo": "Uttarakhand"
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   "unit": "count",
   "data": [
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   "group": "Deaths",
   "geo": "Uttarakhand"
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   "name": "gender_t31_deaths__total__uttarakhand",
   "label": "Deaths, Total, Uttarakhand",
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   "unit": "count",
   "data": [
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   "group": "Deaths",
   "geo": "Uttarakhand"
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   "label": "Cases, Male, Uttar Pradesh",
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   "unit": "count",
   "data": [
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   "group": "Cases",
   "geo": "Uttar Pradesh"
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   "unit": "count",
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   "group": "Cases",
   "geo": "Uttar Pradesh"
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   "name": "gender_t31_cases__total__uttar_pradesh",
   "label": "Cases, Total, Uttar Pradesh",
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   "unit": "count",
   "data": [
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   "group": "Cases",
   "geo": "Uttar Pradesh"
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   "label": "Deaths, Male, Uttar Pradesh",
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   "unit": "count",
   "data": [
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    91
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   "group": "Deaths",
   "geo": "Uttar Pradesh"
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   "name": "gender_t31_deaths__female__uttar_pradesh",
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   "unit": "count",
   "data": [
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    68
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   "group": "Deaths",
   "geo": "Uttar Pradesh"
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   "name": "gender_t31_deaths__total__uttar_pradesh",
   "label": "Deaths, Total, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "count",
   "data": [
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   ],
   "group": "Deaths",
   "geo": "Uttar Pradesh"
  }
 }
}