{
 "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 2.1)",
  "agency": "Sample Registration System, Office of the Registrar General of India",
  "compendiumTable": "2.1",
  "indicatorCode": 9,
  "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": "Age-specific Fertility rate",
  "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 age",
  "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__15_19__all_india": {
   "name": "gender_t9_rural__15_19__all_india",
   "label": "Rural, 15 - 19, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    12.3,
    13.2,
    13.2,
    13.1,
    13
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__20_24__all_india": {
   "name": "gender_t9_rural__20_24__all_india",
   "label": "Rural, 20 - 24, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    128.8,
    128.1,
    129.9,
    127.5,
    122
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__25_29__all_india": {
   "name": "gender_t9_rural__25_29__all_india",
   "label": "Rural, 25 - 29, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    156,
    152.5,
    156.9,
    155.4,
    150.4
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__30_34__all_india": {
   "name": "gender_t9_rural__30_34__all_india",
   "label": "Rural, 30 - 34, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    97.3,
    89.4,
    87.4,
    87.4,
    83.2
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__35_39__all_india": {
   "name": "gender_t9_rural__35_39__all_india",
   "label": "Rural, 35 - 39, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    43.3,
    38.9,
    38.6,
    36.4,
    35.2
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__40_44__all_india": {
   "name": "gender_t9_rural__40_44__all_india",
   "label": "Rural, 40 - 44, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    15.4,
    13.5,
    13.4,
    12.9,
    12.9
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__45_49__all_india": {
   "name": "gender_t9_rural__45_49__all_india",
   "label": "Rural, 45 - 49, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    5.5,
    5.2,
    5.5,
    4.9,
    4.5
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "urban__15_19__all_india": {
   "name": "gender_t9_urban__15_19__all_india",
   "label": "Urban, 15 - 19, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    6.5,
    6.6,
    6.7,
    6.5,
    6.4
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__20_24__all_india": {
   "name": "gender_t9_urban__20_24__all_india",
   "label": "Urban, 20 - 24, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    84.8,
    81.8,
    83.3,
    79.9,
    76.1
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__25_29__all_india": {
   "name": "gender_t9_urban__25_29__all_india",
   "label": "Urban, 25 - 29, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    115.3,
    115.2,
    120.5,
    117.1,
    111.6
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__30_34__all_india": {
   "name": "gender_t9_urban__30_34__all_india",
   "label": "Urban, 30 - 34, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    80.3,
    75.5,
    74.1,
    73.8,
    70.6
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__35_39__all_india": {
   "name": "gender_t9_urban__35_39__all_india",
   "label": "Urban, 35 - 39, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    33.4,
    29.5,
    29.5,
    29.1,
    28.1
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__40_44__all_india": {
   "name": "gender_t9_urban__40_44__all_india",
   "label": "Urban, 40 - 44, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    10,
    8.5,
    9.3,
    8.8,
    9.1
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__45_49__all_india": {
   "name": "gender_t9_urban__45_49__all_india",
   "label": "Urban, 45 - 49, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    2.8,
    3.9,
    3.9,
    3.3,
    2.7
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "total__15_19__all_india": {
   "name": "gender_t9_total__15_19__all_india",
   "label": "Total, 15 - 19, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    10.6,
    11.3,
    11.3,
    11.1,
    11
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__20_24__all_india": {
   "name": "gender_t9_total__20_24__all_india",
   "label": "Total, 20 - 24, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    114.9,
    113.6,
    115.3,
    112.4,
    107.5
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__25_29__all_india": {
   "name": "gender_t9_total__25_29__all_india",
   "label": "Total, 25 - 29, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    141.8,
    139.6,
    144.4,
    142.1,
    136.8
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__30_34__all_india": {
   "name": "gender_t9_total__30_34__all_india",
   "label": "Total, 30 - 34, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    91.2,
    84.4,
    82.6,
    82.4,
    78.4
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__35_39__all_india": {
   "name": "gender_t9_total__35_39__all_india",
   "label": "Total, 35 - 39, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    39.8,
    35.6,
    35.3,
    33.7,
    32.5
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__40_44__all_india": {
   "name": "gender_t9_total__40_44__all_india",
   "label": "Total, 40 - 44, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    13.5,
    11.7,
    11.9,
    11.4,
    11.5
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__45_49__all_india": {
   "name": "gender_t9_total__45_49__all_india",
   "label": "Total, 45 - 49, All India",
   "color": "#5F6675",
   "unit": "per_1000_women",
   "data": [
    4.6,
    4.7,
    4.9,
    4.3,
    3.9
   ],
   "group": "Total",
   "geo": "All India"
  }
 }
}