{
 "meta": {
  "dossier": "gender",
  "product": "gender",
  "source": "Sample Registration System, Office of the Registrar General of India, as reprinted in MoSPI's Women and Men in India 2025 (table 2.2)",
  "agency": "Sample Registration System, Office of the Registrar General of India",
  "compendiumTable": "2.2",
  "indicatorCode": 12,
  "base": "as published",
  "frequency": "annual",
  "unit": "per_1000_women",
  "vintage": "2026-10-09",
  "geo": "IND",
  "latestPeriod": "2023",
  "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": "Adolescent (15-19) Fertility Rates",
  "periodLabels": {
   "2019-01-01": "2019",
   "2020-01-01": "2020",
   "2021-01-01": "2021",
   "2022-01-01": "2022",
   "2023-01-01": "2023"
  },
  "cut": "Rural or urban and state",
  "note": "MoSPI's compendium reprints this table from Sample Registration System, Office of the Registrar General of India; the figures are that agency's. Values printed as \"-\" (no observation) or \"NR\" (not reported) are not baked; meta.omitted counts them.",
  "omitted": {}
 },
 "dates": [
  "2019-01-01",
  "2020-01-01",
  "2021-01-01",
  "2022-01-01",
  "2023-01-01"
 ],
 "series": {
  "rural__all_india": {
   "name": "gender_t12_rural__all_india",
   "label": "Rural, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    12.3,
    13.2,
    13.2,
    13.1,
    13
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "urban__all_india": {
   "name": "gender_t12_urban__all_india",
   "label": "Urban, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    6.5,
    6.6,
    6.7,
    6.5,
    6.4
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "total__all_india": {
   "name": "gender_t12_total__all_india",
   "label": "Total, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    10.6,
    11.3,
    11.3,
    11.1,
    11
   ],
   "group": "Total",
   "geo": "All India"
  },
  "rural__andhra_pradesh": {
   "name": "gender_t12_rural__andhra_pradesh",
   "label": "Rural, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    13.1,
    13.3,
    11.9,
    11.8,
    11.9
   ],
   "group": "Rural",
   "geo": "Andhra Pradesh"
  },
  "urban__andhra_pradesh": {
   "name": "gender_t12_urban__andhra_pradesh",
   "label": "Urban, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    5.6,
    5.7,
    5.6,
    5.5,
    5.6
   ],
   "group": "Urban",
   "geo": "Andhra Pradesh"
  },
  "total__andhra_pradesh": {
   "name": "gender_t12_total__andhra_pradesh",
   "label": "Total, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    10.7,
    10.9,
    9.8,
    9.7,
    9.7
   ],
   "group": "Total",
   "geo": "Andhra Pradesh"
  },
  "rural__assam": {
   "name": "gender_t12_rural__assam",
   "label": "Rural, Assam",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    18.6,
    21,
    20,
    19.9,
    19.7
   ],
   "group": "Rural",
   "geo": "Assam"
  },
  "urban__assam": {
   "name": "gender_t12_urban__assam",
   "label": "Urban, Assam",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    13.6,
    12.7,
    12,
    11.8,
    11.7
   ],
   "group": "Urban",
   "geo": "Assam"
  },
  "total__assam": {
   "name": "gender_t12_total__assam",
   "label": "Total, Assam",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    18,
    20,
    19,
    18.8,
    18.7
   ],
   "group": "Total",
   "geo": "Assam"
  },
  "rural__bihar": {
   "name": "gender_t12_rural__bihar",
   "label": "Rural, Bihar",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    12.4,
    12.5,
    12.3,
    12.6,
    12.5
   ],
   "group": "Rural",
   "geo": "Bihar"
  },
  "urban__bihar": {
   "name": "gender_t12_urban__bihar",
   "label": "Urban, Bihar",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    9.5,
    13.4,
    11.9,
    11.8,
    11.7
   ],
   "group": "Urban",
   "geo": "Bihar"
  },
  "total__bihar": {
   "name": "gender_t12_total__bihar",
   "label": "Total, Bihar",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    12.1,
    12.6,
    12.3,
    12.5,
    12.4
   ],
   "group": "Total",
   "geo": "Bihar"
  },
  "rural__chhattisgarh": {
   "name": "gender_t12_rural__chhattisgarh",
   "label": "Rural, Chhattisgarh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    14.2,
    14.4,
    13.8,
    13.4,
    13.1
   ],
   "group": "Rural",
   "geo": "Chhattisgarh"
  },
  "urban__chhattisgarh": {
   "name": "gender_t12_urban__chhattisgarh",
   "label": "Urban, Chhattisgarh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    9.6,
    9.1,
    8.8,
    8.2,
    7.8
   ],
   "group": "Urban",
   "geo": "Chhattisgarh"
  },
  "total__chhattisgarh": {
   "name": "gender_t12_total__chhattisgarh",
   "label": "Total, Chhattisgarh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    13.1,
    13.2,
    12.6,
    12.2,
    11.9
   ],
   "group": "Total",
   "geo": "Chhattisgarh"
  },
  "rural__delhi": {
   "name": "gender_t12_rural__delhi",
   "label": "Rural, Delhi",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    6.2,
    7.8,
    6.6,
    6.3,
    6
   ],
   "group": "Rural",
   "geo": "Delhi"
  },
  "urban__delhi": {
   "name": "gender_t12_urban__delhi",
   "label": "Urban, Delhi",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    3.8,
    2.5,
    2.6,
    2.5,
    3
   ],
   "group": "Urban",
   "geo": "Delhi"
  },
  "total__delhi": {
   "name": "gender_t12_total__delhi",
   "label": "Total, Delhi",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    3.9,
    2.6,
    2.7,
    2.6,
    3.1
   ],
   "group": "Total",
   "geo": "Delhi"
  },
  "rural__gujarat": {
   "name": "gender_t12_rural__gujarat",
   "label": "Rural, Gujarat",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    13.4,
    13,
    12.4,
    12.3,
    12.2
   ],
   "group": "Rural",
   "geo": "Gujarat"
  },
  "urban__gujarat": {
   "name": "gender_t12_urban__gujarat",
   "label": "Urban, Gujarat",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    6.7,
    6.4,
    6.3,
    6.1,
    6
   ],
   "group": "Urban",
   "geo": "Gujarat"
  },
  "total__gujarat": {
   "name": "gender_t12_total__gujarat",
   "label": "Total, Gujarat",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    10.7,
    10.3,
    9.9,
    9.7,
    9.4
   ],
   "group": "Total",
   "geo": "Gujarat"
  },
  "rural__haryana": {
   "name": "gender_t12_rural__haryana",
   "label": "Rural, Haryana",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    5.6,
    5.5,
    5.4,
    5.6,
    5.5
   ],
   "group": "Rural",
   "geo": "Haryana"
  },
  "urban__haryana": {
   "name": "gender_t12_urban__haryana",
   "label": "Urban, Haryana",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    8.4,
    3.8,
    4.2,
    4,
    4.1
   ],
   "group": "Urban",
   "geo": "Haryana"
  },
  "total__haryana": {
   "name": "gender_t12_total__haryana",
   "label": "Total, Haryana",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    6.6,
    4.9,
    5,
    5,
    5
   ],
   "group": "Total",
   "geo": "Haryana"
  },
  "rural__himachal_pradesh": {
   "name": "gender_t12_rural__himachal_pradesh",
   "label": "Rural, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    11.7,
    8.1,
    8.2,
    8.4,
    8.3
   ],
   "group": "Rural",
   "geo": "Himachal Pradesh"
  },
  "urban__himachal_pradesh": {
   "name": "gender_t12_urban__himachal_pradesh",
   "label": "Urban, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    0,
    7.5,
    5.9,
    5.5,
    5.2
   ],
   "group": "Urban",
   "geo": "Himachal Pradesh"
  },
  "total__himachal_pradesh": {
   "name": "gender_t12_total__himachal_pradesh",
   "label": "Total, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    10.7,
    8,
    8,
    8.1,
    8
   ],
   "group": "Total",
   "geo": "Himachal Pradesh"
  },
  "rural__jammu_kashmir": {
   "name": "gender_t12_rural__jammu_kashmir",
   "label": "Rural, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    3.6,
    4.2,
    4.2,
    4.3,
    4.2
   ],
   "group": "Rural",
   "geo": "Jammu & Kashmir"
  },
  "urban__jammu_kashmir": {
   "name": "gender_t12_urban__jammu_kashmir",
   "label": "Urban, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    0.7,
    0.2,
    4,
    4.4,
    0.5
   ],
   "group": "Urban",
   "geo": "Jammu & Kashmir"
  },
  "total__jammu_kashmir": {
   "name": "gender_t12_total__jammu_kashmir",
   "label": "Total, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    2.9,
    3.2,
    4.1,
    4.3,
    3.1
   ],
   "group": "Total",
   "geo": "Jammu & Kashmir"
  },
  "rural__jharkhand": {
   "name": "gender_t12_rural__jharkhand",
   "label": "Rural, Jharkhand",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    14,
    16.3,
    17.6,
    17.5,
    17.3
   ],
   "group": "Rural",
   "geo": "Jharkhand"
  },
  "urban__jharkhand": {
   "name": "gender_t12_urban__jharkhand",
   "label": "Urban, Jharkhand",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    5.5,
    9.3,
    8.8,
    8.8,
    8.7
   ],
   "group": "Urban",
   "geo": "Jharkhand"
  },
  "total__jharkhand": {
   "name": "gender_t12_total__jharkhand",
   "label": "Total, Jharkhand",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    12.1,
    14.8,
    15.7,
    15.5,
    15.4
   ],
   "group": "Total",
   "geo": "Jharkhand"
  },
  "rural__karnataka": {
   "name": "gender_t12_rural__karnataka",
   "label": "Rural, Karnataka",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    8.7,
    10.8,
    10,
    9.8,
    9.6
   ],
   "group": "Rural",
   "geo": "Karnataka"
  },
  "urban__karnataka": {
   "name": "gender_t12_urban__karnataka",
   "label": "Urban, Karnataka",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    6.4,
    7.9,
    7.7,
    7.5,
    7.6
   ],
   "group": "Urban",
   "geo": "Karnataka"
  },
  "total__karnataka": {
   "name": "gender_t12_total__karnataka",
   "label": "Total, Karnataka",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    7.8,
    9.7,
    9.1,
    8.9,
    8.8
   ],
   "group": "Total",
   "geo": "Karnataka"
  },
  "rural__kerala": {
   "name": "gender_t12_rural__kerala",
   "label": "Rural, Kerala",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    11.5,
    5.6,
    5.5,
    5.5,
    5.3
   ],
   "group": "Rural",
   "geo": "Kerala"
  },
  "urban__kerala": {
   "name": "gender_t12_urban__kerala",
   "label": "Urban, Kerala",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    7.1,
    4.6,
    4.4,
    4.2,
    4.4
   ],
   "group": "Urban",
   "geo": "Kerala"
  },
  "total__kerala": {
   "name": "gender_t12_total__kerala",
   "label": "Total, Kerala",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    9.3,
    5.1,
    4.9,
    4.8,
    4.8
   ],
   "group": "Total",
   "geo": "Kerala"
  },
  "rural__madhya_pradesh": {
   "name": "gender_t12_rural__madhya_pradesh",
   "label": "Rural, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    19.8,
    18.7,
    17.5,
    17.2,
    17
   ],
   "group": "Rural",
   "geo": "Madhya Pradesh"
  },
  "urban__madhya_pradesh": {
   "name": "gender_t12_urban__madhya_pradesh",
   "label": "Urban, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    5.9,
    6,
    5.6,
    5.6,
    5.5
   ],
   "group": "Urban",
   "geo": "Madhya Pradesh"
  },
  "total__madhya_pradesh": {
   "name": "gender_t12_total__madhya_pradesh",
   "label": "Total, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    16.4,
    15.6,
    14.6,
    14.3,
    14.2
   ],
   "group": "Total",
   "geo": "Madhya Pradesh"
  },
  "rural__maharashtra": {
   "name": "gender_t12_rural__maharashtra",
   "label": "Rural, Maharashtra",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    6.3,
    7.7,
    7.7,
    7.5,
    7.4
   ],
   "group": "Rural",
   "geo": "Maharashtra"
  },
  "urban__maharashtra": {
   "name": "gender_t12_urban__maharashtra",
   "label": "Urban, Maharashtra",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    2.8,
    5.6,
    5.5,
    5.2,
    5.1
   ],
   "group": "Urban",
   "geo": "Maharashtra"
  },
  "total__maharashtra": {
   "name": "gender_t12_total__maharashtra",
   "label": "Total, Maharashtra",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    4.8,
    6.8,
    6.8,
    6.4,
    6.3
   ],
   "group": "Total",
   "geo": "Maharashtra"
  },
  "rural__odisha": {
   "name": "gender_t12_rural__odisha",
   "label": "Rural, Odisha",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    9.8,
    8.7,
    8.1,
    9,
    9
   ],
   "group": "Rural",
   "geo": "Odisha"
  },
  "urban__odisha": {
   "name": "gender_t12_urban__odisha",
   "label": "Urban, Odisha",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    6.3,
    3.5,
    4.4,
    5.1,
    4.8
   ],
   "group": "Urban",
   "geo": "Odisha"
  },
  "total__odisha": {
   "name": "gender_t12_total__odisha",
   "label": "Total, Odisha",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    9.2,
    7.8,
    7.4,
    8.3,
    8.3
   ],
   "group": "Total",
   "geo": "Odisha"
  },
  "rural__punjab": {
   "name": "gender_t12_rural__punjab",
   "label": "Rural, Punjab",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    4.7,
    3.1,
    7.1,
    7.4,
    7.3
   ],
   "group": "Rural",
   "geo": "Punjab"
  },
  "urban__punjab": {
   "name": "gender_t12_urban__punjab",
   "label": "Urban, Punjab",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    4.2,
    5.5,
    4.9,
    3.4,
    3.2
   ],
   "group": "Urban",
   "geo": "Punjab"
  },
  "total__punjab": {
   "name": "gender_t12_total__punjab",
   "label": "Total, Punjab",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    4.5,
    4.1,
    6.2,
    5.7,
    5.5
   ],
   "group": "Total",
   "geo": "Punjab"
  },
  "rural__rajasthan": {
   "name": "gender_t12_rural__rajasthan",
   "label": "Rural, Rajasthan",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    9,
    11.2,
    11.7,
    11.6,
    11.5
   ],
   "group": "Rural",
   "geo": "Rajasthan"
  },
  "urban__rajasthan": {
   "name": "gender_t12_urban__rajasthan",
   "label": "Urban, Rajasthan",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    4.5,
    8.2,
    6.9,
    6.5,
    6.4
   ],
   "group": "Urban",
   "geo": "Rajasthan"
  },
  "total__rajasthan": {
   "name": "gender_t12_total__rajasthan",
   "label": "Total, Rajasthan",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    7.9,
    10.5,
    10.6,
    10.4,
    10.3
   ],
   "group": "Total",
   "geo": "Rajasthan"
  },
  "rural__tamil_nadu": {
   "name": "gender_t12_rural__tamil_nadu",
   "label": "Rural, Tamil Nadu",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    7.9,
    5.5,
    5.8,
    6,
    6.1
   ],
   "group": "Rural",
   "geo": "Tamil Nadu"
  },
  "urban__tamil_nadu": {
   "name": "gender_t12_urban__tamil_nadu",
   "label": "Urban, Tamil Nadu",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    5.7,
    5.7,
    5.5,
    5.6,
    5.5
   ],
   "group": "Urban",
   "geo": "Tamil Nadu"
  },
  "total__tamil_nadu": {
   "name": "gender_t12_total__tamil_nadu",
   "label": "Total, Tamil Nadu",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    6.8,
    5.6,
    5.7,
    5.8,
    5.8
   ],
   "group": "Total",
   "geo": "Tamil Nadu"
  },
  "rural__telangana": {
   "name": "gender_t12_rural__telangana",
   "label": "Rural, Telangana",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    8.7,
    8.5,
    8.2,
    8,
    7.8
   ],
   "group": "Rural",
   "geo": "Telangana"
  },
  "urban__telangana": {
   "name": "gender_t12_urban__telangana",
   "label": "Urban, Telangana",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    6.2,
    6,
    5.6,
    5.5,
    5.5
   ],
   "group": "Urban",
   "geo": "Telangana"
  },
  "total__telangana": {
   "name": "gender_t12_total__telangana",
   "label": "Total, Telangana",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    7.7,
    7.5,
    7.2,
    7,
    6.8
   ],
   "group": "Total",
   "geo": "Telangana"
  },
  "rural__uttarakhand": {
   "name": "gender_t12_rural__uttarakhand",
   "label": "Rural, Uttarakhand",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    5.1,
    5.2,
    5,
    4.7,
    4.8
   ],
   "group": "Rural",
   "geo": "Uttarakhand"
  },
  "urban__uttarakhand": {
   "name": "gender_t12_urban__uttarakhand",
   "label": "Urban, Uttarakhand",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    5.6,
    5.4,
    5.4,
    5,
    4.9
   ],
   "group": "Urban",
   "geo": "Uttarakhand"
  },
  "total__uttarakhand": {
   "name": "gender_t12_total__uttarakhand",
   "label": "Total, Uttarakhand",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    5.2,
    5.2,
    5.1,
    4.8,
    4.8
   ],
   "group": "Total",
   "geo": "Uttarakhand"
  },
  "rural__uttar_pradesh": {
   "name": "gender_t12_rural__uttar_pradesh",
   "label": "Rural, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    9.5,
    12.8,
    12.2,
    12,
    11.9
   ],
   "group": "Rural",
   "geo": "Uttar Pradesh"
  },
  "urban__uttar_pradesh": {
   "name": "gender_t12_urban__uttar_pradesh",
   "label": "Urban, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    6.2,
    5.8,
    5.9,
    5.8,
    5.7
   ],
   "group": "Urban",
   "geo": "Uttar Pradesh"
  },
  "total__uttar_pradesh": {
   "name": "gender_t12_total__uttar_pradesh",
   "label": "Total, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    8.7,
    11.2,
    10.8,
    10.6,
    10.5
   ],
   "group": "Total",
   "geo": "Uttar Pradesh"
  },
  "rural__west_bengal": {
   "name": "gender_t12_rural__west_bengal",
   "label": "Rural, West Bengal",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    25.4,
    25.8,
    27.2,
    26.9,
    26.7
   ],
   "group": "Rural",
   "geo": "West Bengal"
  },
  "urban__west_bengal": {
   "name": "gender_t12_urban__west_bengal",
   "label": "Urban, West Bengal",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    16.8,
    12.3,
    13.8,
    13.9,
    13.8
   ],
   "group": "Urban",
   "geo": "West Bengal"
  },
  "total__west_bengal": {
   "name": "gender_t12_total__west_bengal",
   "label": "Total, West Bengal",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    23.2,
    22.3,
    23.7,
    23.5,
    23.3
   ],
   "group": "Total",
   "geo": "West Bengal"
  }
 }
}