{
 "meta": {
  "dossier": "gender",
  "product": "gender",
  "source": "Census of India, Office of the Registrar General of India; 2017: NSS 75th round, as reprinted in MoSPI's Women and Men in India 2025 (table 3.4.1)",
  "agency": "Census of India, Office of the Registrar General of India; 2017: NSS 75th round",
  "compendiumTable": "3.4.1",
  "indicatorCode": 58,
  "base": "NSS 75th round",
  "frequency": "cross-sectional",
  "unit": "percent",
  "vintage": "2026-10-09",
  "geo": "IND",
  "latestPeriod": "2017-18 (NSS 75th round)",
  "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": "Literacy Rate of Youth in the Age Group of 15-24 Years (NSS 75th round)",
  "periodLabels": {
   "2017-07-01": "2017-18 (NSS 75th round)"
  },
  "cut": "Sex and state",
  "note": "MoSPI's compendium reprints this table from Census of India, Office of the Registrar General of India; 2017: NSS 75th round; the figures are that agency's. This bundle holds one instrument only (NSS 75th round); the indicator's other instrument is a separate bundle, never joined to this one. Values printed as \"-\" (no observation) or \"NR\" (not reported) are not baked; meta.omitted counts them.",
  "omitted": {}
 },
 "dates": [
  "2017-07-01"
 ],
 "series": {
  "male__all_india": {
   "name": "gender_t58_male__all_india",
   "label": "Male, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.07
   ],
   "group": "Male",
   "geo": "All India"
  },
  "female__all_india": {
   "name": "gender_t58_female__all_india",
   "label": "Female, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    92.29
   ],
   "group": "Female",
   "geo": "All India"
  },
  "total__all_india": {
   "name": "gender_t58_total__all_india",
   "label": "Total, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    94.31
   ],
   "group": "Total",
   "geo": "All India"
  },
  "male__andaman_nicobar_islands": {
   "name": "gender_t58_male__andaman_nicobar_islands",
   "label": "Male, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.96
   ],
   "group": "Male",
   "geo": "Andaman & Nicobar  Islands"
  },
  "female__andaman_nicobar_islands": {
   "name": "gender_t58_female__andaman_nicobar_islands",
   "label": "Female, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    100
   ],
   "group": "Female",
   "geo": "Andaman & Nicobar  Islands"
  },
  "total__andaman_nicobar_islands": {
   "name": "gender_t58_total__andaman_nicobar_islands",
   "label": "Total, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.98
   ],
   "group": "Total",
   "geo": "Andaman & Nicobar  Islands"
  },
  "male__andhra_pradesh": {
   "name": "gender_t58_male__andhra_pradesh",
   "label": "Male, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    94.11
   ],
   "group": "Male",
   "geo": "Andhra Pradesh"
  },
  "female__andhra_pradesh": {
   "name": "gender_t58_female__andhra_pradesh",
   "label": "Female, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    91.48
   ],
   "group": "Female",
   "geo": "Andhra Pradesh"
  },
  "total__andhra_pradesh": {
   "name": "gender_t58_total__andhra_pradesh",
   "label": "Total, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    92.81
   ],
   "group": "Total",
   "geo": "Andhra Pradesh"
  },
  "male__arunachal_pradesh": {
   "name": "gender_t58_male__arunachal_pradesh",
   "label": "Male, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    94.89
   ],
   "group": "Male",
   "geo": "Arunachal Pradesh"
  },
  "female__arunachal_pradesh": {
   "name": "gender_t58_female__arunachal_pradesh",
   "label": "Female, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    88.53
   ],
   "group": "Female",
   "geo": "Arunachal Pradesh"
  },
  "total__arunachal_pradesh": {
   "name": "gender_t58_total__arunachal_pradesh",
   "label": "Total, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    92.1
   ],
   "group": "Total",
   "geo": "Arunachal Pradesh"
  },
  "male__assam": {
   "name": "gender_t58_male__assam",
   "label": "Male, Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    97.97
   ],
   "group": "Male",
   "geo": "Assam"
  },
  "female__assam": {
   "name": "gender_t58_female__assam",
   "label": "Female, Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.57
   ],
   "group": "Female",
   "geo": "Assam"
  },
  "total__assam": {
   "name": "gender_t58_total__assam",
   "label": "Total, Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    97.31
   ],
   "group": "Total",
   "geo": "Assam"
  },
  "male__bihar": {
   "name": "gender_t58_male__bihar",
   "label": "Male, Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    93.2
   ],
   "group": "Male",
   "geo": "Bihar"
  },
  "female__bihar": {
   "name": "gender_t58_female__bihar",
   "label": "Female, Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    81.73
   ],
   "group": "Female",
   "geo": "Bihar"
  },
  "total__bihar": {
   "name": "gender_t58_total__bihar",
   "label": "Total, Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    87.96
   ],
   "group": "Total",
   "geo": "Bihar"
  },
  "male__chandigarh": {
   "name": "gender_t58_male__chandigarh",
   "label": "Male, Chandigarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.92
   ],
   "group": "Male",
   "geo": "Chandigarh"
  },
  "female__chandigarh": {
   "name": "gender_t58_female__chandigarh",
   "label": "Female, Chandigarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    98.54
   ],
   "group": "Female",
   "geo": "Chandigarh"
  },
  "total__chandigarh": {
   "name": "gender_t58_total__chandigarh",
   "label": "Total, Chandigarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.31
   ],
   "group": "Total",
   "geo": "Chandigarh"
  },
  "male__chhattisgarh": {
   "name": "gender_t58_male__chhattisgarh",
   "label": "Male, Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    98.23
   ],
   "group": "Male",
   "geo": "Chhattisgarh"
  },
  "female__chhattisgarh": {
   "name": "gender_t58_female__chhattisgarh",
   "label": "Female, Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    93.29
   ],
   "group": "Female",
   "geo": "Chhattisgarh"
  },
  "total__chhattisgarh": {
   "name": "gender_t58_total__chhattisgarh",
   "label": "Total, Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    95.84
   ],
   "group": "Total",
   "geo": "Chhattisgarh"
  },
  "male__dadra_nagar_haveli": {
   "name": "gender_t58_male__dadra_nagar_haveli",
   "label": "Male, Dadra & Nagar Haveli",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.48
   ],
   "group": "Male",
   "geo": "Dadra & Nagar Haveli"
  },
  "female__dadra_nagar_haveli": {
   "name": "gender_t58_female__dadra_nagar_haveli",
   "label": "Female, Dadra & Nagar Haveli",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    90.2
   ],
   "group": "Female",
   "geo": "Dadra & Nagar Haveli"
  },
  "total__dadra_nagar_haveli": {
   "name": "gender_t58_total__dadra_nagar_haveli",
   "label": "Total, Dadra & Nagar Haveli",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    95.76
   ],
   "group": "Total",
   "geo": "Dadra & Nagar Haveli"
  },
  "male__daman_diu": {
   "name": "gender_t58_male__daman_diu",
   "label": "Male, Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    100
   ],
   "group": "Male",
   "geo": "Daman & Diu"
  },
  "female__daman_diu": {
   "name": "gender_t58_female__daman_diu",
   "label": "Female, Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    100
   ],
   "group": "Female",
   "geo": "Daman & Diu"
  },
  "total__daman_diu": {
   "name": "gender_t58_total__daman_diu",
   "label": "Total, Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    100
   ],
   "group": "Total",
   "geo": "Daman & Diu"
  },
  "male__delhi": {
   "name": "gender_t58_male__delhi",
   "label": "Male, Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.04
   ],
   "group": "Male",
   "geo": "Delhi"
  },
  "female__delhi": {
   "name": "gender_t58_female__delhi",
   "label": "Female, Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    98.46
   ],
   "group": "Female",
   "geo": "Delhi"
  },
  "total__delhi": {
   "name": "gender_t58_total__delhi",
   "label": "Total, Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    97.06
   ],
   "group": "Total",
   "geo": "Delhi"
  },
  "male__goa": {
   "name": "gender_t58_male__goa",
   "label": "Male, Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    100
   ],
   "group": "Male",
   "geo": "Goa"
  },
  "female__goa": {
   "name": "gender_t58_female__goa",
   "label": "Female, Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    100
   ],
   "group": "Female",
   "geo": "Goa"
  },
  "total__goa": {
   "name": "gender_t58_total__goa",
   "label": "Total, Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    100
   ],
   "group": "Total",
   "geo": "Goa"
  },
  "male__gujarat": {
   "name": "gender_t58_male__gujarat",
   "label": "Male, Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    98.54
   ],
   "group": "Male",
   "geo": "Gujarat"
  },
  "female__gujarat": {
   "name": "gender_t58_female__gujarat",
   "label": "Female, Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    94.4
   ],
   "group": "Female",
   "geo": "Gujarat"
  },
  "total__gujarat": {
   "name": "gender_t58_total__gujarat",
   "label": "Total, Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.66
   ],
   "group": "Total",
   "geo": "Gujarat"
  },
  "male__haryana": {
   "name": "gender_t58_male__haryana",
   "label": "Male, Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.39
   ],
   "group": "Male",
   "geo": "Haryana"
  },
  "female__haryana": {
   "name": "gender_t58_female__haryana",
   "label": "Female, Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    95.18
   ],
   "group": "Female",
   "geo": "Haryana"
  },
  "total__haryana": {
   "name": "gender_t58_total__haryana",
   "label": "Total, Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    95.88
   ],
   "group": "Total",
   "geo": "Haryana"
  },
  "male__himachal_pradesh": {
   "name": "gender_t58_male__himachal_pradesh",
   "label": "Male, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.82
   ],
   "group": "Male",
   "geo": "Himachal Pradesh"
  },
  "female__himachal_pradesh": {
   "name": "gender_t58_female__himachal_pradesh",
   "label": "Female, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    98.72
   ],
   "group": "Female",
   "geo": "Himachal Pradesh"
  },
  "total__himachal_pradesh": {
   "name": "gender_t58_total__himachal_pradesh",
   "label": "Total, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.26
   ],
   "group": "Total",
   "geo": "Himachal Pradesh"
  },
  "male__jammu_kashmir": {
   "name": "gender_t58_male__jammu_kashmir",
   "label": "Male, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.34
   ],
   "group": "Male",
   "geo": "Jammu & Kashmir"
  },
  "female__jammu_kashmir": {
   "name": "gender_t58_female__jammu_kashmir",
   "label": "Female, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    92.84
   ],
   "group": "Female",
   "geo": "Jammu & Kashmir"
  },
  "total__jammu_kashmir": {
   "name": "gender_t58_total__jammu_kashmir",
   "label": "Total, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.31
   ],
   "group": "Total",
   "geo": "Jammu & Kashmir"
  },
  "male__jharkhand": {
   "name": "gender_t58_male__jharkhand",
   "label": "Male, Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.04
   ],
   "group": "Male",
   "geo": "Jharkhand"
  },
  "female__jharkhand": {
   "name": "gender_t58_female__jharkhand",
   "label": "Female, Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    90.86
   ],
   "group": "Female",
   "geo": "Jharkhand"
  },
  "total__jharkhand": {
   "name": "gender_t58_total__jharkhand",
   "label": "Total, Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    93.59
   ],
   "group": "Total",
   "geo": "Jharkhand"
  },
  "male__karnataka": {
   "name": "gender_t58_male__karnataka",
   "label": "Male, Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    97.77
   ],
   "group": "Male",
   "geo": "Karnataka"
  },
  "female__karnataka": {
   "name": "gender_t58_female__karnataka",
   "label": "Female, Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    97.27
   ],
   "group": "Female",
   "geo": "Karnataka"
  },
  "total__karnataka": {
   "name": "gender_t58_total__karnataka",
   "label": "Total, Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    97.55
   ],
   "group": "Total",
   "geo": "Karnataka"
  },
  "male__kerala": {
   "name": "gender_t58_male__kerala",
   "label": "Male, Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.58
   ],
   "group": "Male",
   "geo": "Kerala"
  },
  "female__kerala": {
   "name": "gender_t58_female__kerala",
   "label": "Female, Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.84
   ],
   "group": "Female",
   "geo": "Kerala"
  },
  "total__kerala": {
   "name": "gender_t58_total__kerala",
   "label": "Total, Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.71
   ],
   "group": "Total",
   "geo": "Kerala"
  },
  "male__lakshadweep": {
   "name": "gender_t58_male__lakshadweep",
   "label": "Male, Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    100
   ],
   "group": "Male",
   "geo": "Lakshadweep"
  },
  "female__lakshadweep": {
   "name": "gender_t58_female__lakshadweep",
   "label": "Female, Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    100
   ],
   "group": "Female",
   "geo": "Lakshadweep"
  },
  "total__lakshadweep": {
   "name": "gender_t58_total__lakshadweep",
   "label": "Total, Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    100
   ],
   "group": "Total",
   "geo": "Lakshadweep"
  },
  "male__madhya_pradesh": {
   "name": "gender_t58_male__madhya_pradesh",
   "label": "Male, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    95.17
   ],
   "group": "Male",
   "geo": "Madhya Pradesh"
  },
  "female__madhya_pradesh": {
   "name": "gender_t58_female__madhya_pradesh",
   "label": "Female, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    91.57
   ],
   "group": "Female",
   "geo": "Madhya Pradesh"
  },
  "total__madhya_pradesh": {
   "name": "gender_t58_total__madhya_pradesh",
   "label": "Total, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    93.52
   ],
   "group": "Total",
   "geo": "Madhya Pradesh"
  },
  "male__maharashtra": {
   "name": "gender_t58_male__maharashtra",
   "label": "Male, Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    98.76
   ],
   "group": "Male",
   "geo": "Maharashtra"
  },
  "female__maharashtra": {
   "name": "gender_t58_female__maharashtra",
   "label": "Female, Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.94
   ],
   "group": "Female",
   "geo": "Maharashtra"
  },
  "total__maharashtra": {
   "name": "gender_t58_total__maharashtra",
   "label": "Total, Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    97.95
   ],
   "group": "Total",
   "geo": "Maharashtra"
  },
  "male__manipur": {
   "name": "gender_t58_male__manipur",
   "label": "Male, Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    98.97
   ],
   "group": "Male",
   "geo": "Manipur"
  },
  "female__manipur": {
   "name": "gender_t58_female__manipur",
   "label": "Female, Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    95.62
   ],
   "group": "Female",
   "geo": "Manipur"
  },
  "total__manipur": {
   "name": "gender_t58_total__manipur",
   "label": "Total, Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    97.22
   ],
   "group": "Total",
   "geo": "Manipur"
  },
  "male__meghalaya": {
   "name": "gender_t58_male__meghalaya",
   "label": "Male, Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.92
   ],
   "group": "Male",
   "geo": "Meghalaya"
  },
  "female__meghalaya": {
   "name": "gender_t58_female__meghalaya",
   "label": "Female, Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.14
   ],
   "group": "Female",
   "geo": "Meghalaya"
  },
  "total__meghalaya": {
   "name": "gender_t58_total__meghalaya",
   "label": "Total, Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.54
   ],
   "group": "Total",
   "geo": "Meghalaya"
  },
  "male__mizoram": {
   "name": "gender_t58_male__mizoram",
   "label": "Male, Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.89
   ],
   "group": "Male",
   "geo": "Mizoram"
  },
  "female__mizoram": {
   "name": "gender_t58_female__mizoram",
   "label": "Female, Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    100
   ],
   "group": "Female",
   "geo": "Mizoram"
  },
  "total__mizoram": {
   "name": "gender_t58_total__mizoram",
   "label": "Total, Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.95
   ],
   "group": "Total",
   "geo": "Mizoram"
  },
  "male__nagaland": {
   "name": "gender_t58_male__nagaland",
   "label": "Male, Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    95.06
   ],
   "group": "Male",
   "geo": "Nagaland"
  },
  "female__nagaland": {
   "name": "gender_t58_female__nagaland",
   "label": "Female, Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    98.02
   ],
   "group": "Female",
   "geo": "Nagaland"
  },
  "total__nagaland": {
   "name": "gender_t58_total__nagaland",
   "label": "Total, Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.5
   ],
   "group": "Total",
   "geo": "Nagaland"
  },
  "male__odisha": {
   "name": "gender_t58_male__odisha",
   "label": "Male, Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    95.6
   ],
   "group": "Male",
   "geo": "Odisha"
  },
  "female__odisha": {
   "name": "gender_t58_female__odisha",
   "label": "Female, Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    93.17
   ],
   "group": "Female",
   "geo": "Odisha"
  },
  "total__odisha": {
   "name": "gender_t58_total__odisha",
   "label": "Total, Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    94.41
   ],
   "group": "Total",
   "geo": "Odisha"
  },
  "male__puducherry": {
   "name": "gender_t58_male__puducherry",
   "label": "Male, Puducherry",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    100
   ],
   "group": "Male",
   "geo": "Puducherry"
  },
  "female__puducherry": {
   "name": "gender_t58_female__puducherry",
   "label": "Female, Puducherry",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.96
   ],
   "group": "Female",
   "geo": "Puducherry"
  },
  "total__puducherry": {
   "name": "gender_t58_total__puducherry",
   "label": "Total, Puducherry",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.98
   ],
   "group": "Total",
   "geo": "Puducherry"
  },
  "male__punjab": {
   "name": "gender_t58_male__punjab",
   "label": "Male, Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    97.95
   ],
   "group": "Male",
   "geo": "Punjab"
  },
  "female__punjab": {
   "name": "gender_t58_female__punjab",
   "label": "Female, Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.9
   ],
   "group": "Female",
   "geo": "Punjab"
  },
  "total__punjab": {
   "name": "gender_t58_total__punjab",
   "label": "Total, Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    97.52
   ],
   "group": "Total",
   "geo": "Punjab"
  },
  "male__rajasthan": {
   "name": "gender_t58_male__rajasthan",
   "label": "Male, Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    93.59
   ],
   "group": "Male",
   "geo": "Rajasthan"
  },
  "female__rajasthan": {
   "name": "gender_t58_female__rajasthan",
   "label": "Female, Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    84.11
   ],
   "group": "Female",
   "geo": "Rajasthan"
  },
  "total__rajasthan": {
   "name": "gender_t58_total__rajasthan",
   "label": "Total, Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    89.14
   ],
   "group": "Total",
   "geo": "Rajasthan"
  },
  "male__sikkim": {
   "name": "gender_t58_male__sikkim",
   "label": "Male, Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.74
   ],
   "group": "Male",
   "geo": "Sikkim"
  },
  "female__sikkim": {
   "name": "gender_t58_female__sikkim",
   "label": "Female, Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    100
   ],
   "group": "Female",
   "geo": "Sikkim"
  },
  "total__sikkim": {
   "name": "gender_t58_total__sikkim",
   "label": "Total, Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.87
   ],
   "group": "Total",
   "geo": "Sikkim"
  },
  "male__tamil_nadu": {
   "name": "gender_t58_male__tamil_nadu",
   "label": "Male, Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.88
   ],
   "group": "Male",
   "geo": "Tamil Nadu"
  },
  "female__tamil_nadu": {
   "name": "gender_t58_female__tamil_nadu",
   "label": "Female, Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.3
   ],
   "group": "Female",
   "geo": "Tamil Nadu"
  },
  "total__tamil_nadu": {
   "name": "gender_t58_total__tamil_nadu",
   "label": "Total, Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.59
   ],
   "group": "Total",
   "geo": "Tamil Nadu"
  },
  "male__telangana": {
   "name": "gender_t58_male__telangana",
   "label": "Male, Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    98.16
   ],
   "group": "Male",
   "geo": "Telangana"
  },
  "female__telangana": {
   "name": "gender_t58_female__telangana",
   "label": "Female, Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    95.48
   ],
   "group": "Female",
   "geo": "Telangana"
  },
  "total__telangana": {
   "name": "gender_t58_total__telangana",
   "label": "Total, Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.88
   ],
   "group": "Total",
   "geo": "Telangana"
  },
  "male__tripura": {
   "name": "gender_t58_male__tripura",
   "label": "Male, Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.77
   ],
   "group": "Male",
   "geo": "Tripura"
  },
  "female__tripura": {
   "name": "gender_t58_female__tripura",
   "label": "Female, Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.13
   ],
   "group": "Female",
   "geo": "Tripura"
  },
  "total__tripura": {
   "name": "gender_t58_total__tripura",
   "label": "Total, Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.47
   ],
   "group": "Total",
   "geo": "Tripura"
  },
  "male__uttarakhand": {
   "name": "gender_t58_male__uttarakhand",
   "label": "Male, Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    99.31
   ],
   "group": "Male",
   "geo": "Uttarakhand"
  },
  "female__uttarakhand": {
   "name": "gender_t58_female__uttarakhand",
   "label": "Female, Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    98.35
   ],
   "group": "Female",
   "geo": "Uttarakhand"
  },
  "total__uttarakhand": {
   "name": "gender_t58_total__uttarakhand",
   "label": "Total, Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    98.86
   ],
   "group": "Total",
   "geo": "Uttarakhand"
  },
  "male__uttar_pradesh": {
   "name": "gender_t58_male__uttar_pradesh",
   "label": "Male, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    93.21
   ],
   "group": "Male",
   "geo": "Uttar Pradesh"
  },
  "female__uttar_pradesh": {
   "name": "gender_t58_female__uttar_pradesh",
   "label": "Female, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    87.74
   ],
   "group": "Female",
   "geo": "Uttar Pradesh"
  },
  "total__uttar_pradesh": {
   "name": "gender_t58_total__uttar_pradesh",
   "label": "Total, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    90.66
   ],
   "group": "Total",
   "geo": "Uttar Pradesh"
  },
  "male__west_bengal": {
   "name": "gender_t58_male__west_bengal",
   "label": "Male, West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.79
   ],
   "group": "Male",
   "geo": "West Bengal"
  },
  "female__west_bengal": {
   "name": "gender_t58_female__west_bengal",
   "label": "Female, West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.27
   ],
   "group": "Female",
   "geo": "West Bengal"
  },
  "total__west_bengal": {
   "name": "gender_t58_total__west_bengal",
   "label": "Total, West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.53
   ],
   "group": "Total",
   "geo": "West Bengal"
  }
 }
}