{
 "meta": {
  "dossier": "gender",
  "product": "gender",
  "source": "Census of India, Office of the Registrar General of India; 2017: NSS 75th round (July 2017 to June 2018), as reprinted in MoSPI's Women and Men in India 2025 (table 3.1)",
  "agency": "Census of India, Office of the Registrar General of India; 2017: NSS 75th round (July 2017 to June 2018)",
  "compendiumTable": "3.1",
  "indicatorCode": 55,
  "base": "Census",
  "frequency": "irregular",
  "unit": "percent",
  "vintage": "2026-10-09",
  "geo": "IND",
  "latestPeriod": "2011",
  "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 Rates for persons aged 7 years and above (Census)",
  "periodLabels": {
   "1981-01-01": "1981",
   "1991-01-01": "1991",
   "2001-01-01": "2001",
   "2011-01-01": "2011"
  },
  "cut": "Rural or urban and sex",
  "note": "MoSPI's compendium reprints this table from Census of India, Office of the Registrar General of India; 2017: NSS 75th round (July 2017 to June 2018); the figures are that agency's. This bundle holds one instrument only (Census); 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": [
  "1981-01-01",
  "1991-01-01",
  "2001-01-01",
  "2011-01-01"
 ],
 "series": {
  "rural__male__all_india": {
   "name": "gender_t55_rural__male__all_india",
   "label": "Rural, Male, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.4,
    57.9,
    70.7,
    77.1
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__female__all_india": {
   "name": "gender_t55_rural__female__all_india",
   "label": "Rural, Female, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    22.3,
    30.6,
    46.1,
    57.9
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__person__all_india": {
   "name": "gender_t55_rural__person__all_india",
   "label": "Rural, Person, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    36.7,
    44.7,
    58.7,
    67.8
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "urban__male__all_india": {
   "name": "gender_t55_urban__male__all_india",
   "label": "Urban, Male, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    78.6,
    81.1,
    86.3,
    88.8
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__female__all_india": {
   "name": "gender_t55_urban__female__all_india",
   "label": "Urban, Female, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.1,
    64.1,
    72.9,
    79.1
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__person__all_india": {
   "name": "gender_t55_urban__person__all_india",
   "label": "Urban, Person, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    69.1,
    73.1,
    79.9,
    84.1
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "total__male__all_india": {
   "name": "gender_t55_total__male__all_india",
   "label": "Total, Male, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.5,
    64.1,
    75.3,
    80.9
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__female__all_india": {
   "name": "gender_t55_total__female__all_india",
   "label": "Total, Female, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.6,
    39.3,
    53.7,
    64.6
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__person__all_india": {
   "name": "gender_t55_total__person__all_india",
   "label": "Total, Person, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.5,
    52.2,
    64.8,
    73
   ],
   "group": "Total",
   "geo": "All India"
  }
 }
}