{
 "meta": {
  "dossier": "gender",
  "product": "gender",
  "source": "Periodic Labour Force Survey, National Statistics Office, MoSPI, as reprinted in MoSPI's Women and Men in India 2025 (table 4.6.2)",
  "agency": "Periodic Labour Force Survey, National Statistics Office, MoSPI",
  "compendiumTable": "4.6.2",
  "indicatorCode": 86,
  "base": "PLFS, revamped design, calendar year",
  "frequency": "cross-sectional",
  "unit": "percent",
  "vintage": "2026-10-09",
  "geo": "IND",
  "latestPeriod": "2025",
  "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 group wise Worker Population Ratio (WPR) (PLFS, revamped design, calendar year)",
  "periodLabels": {
   "2025-01-01": "2025"
  },
  "cut": "Rural or urban, sex and age",
  "note": "MoSPI's compendium reprints this table from Periodic Labour Force Survey, National Statistics Office, MoSPI; the figures are that agency's. This bundle holds one instrument only (PLFS, revamped design, calendar year); 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": [
  "2025-01-01"
 ],
 "series": {
  "rural__male__15_29__all_india": {
   "name": "gender_t86_rural__male__15_29__all_india",
   "label": "Rural, Male, 15-29, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.2
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__male__15_59__all_india": {
   "name": "gender_t86_rural__male__15_59__all_india",
   "label": "Rural, Male, 15-59, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    81.8
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__male__15__all_india": {
   "name": "gender_t86_rural__male__15__all_india",
   "label": "Rural, Male, 15+, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    78.4
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__male__all_ages__all_india": {
   "name": "gender_t86_rural__male__all_ages__all_india",
   "label": "Rural, Male, All ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.2
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__female__15_29__all_india": {
   "name": "gender_t86_rural__female__15_29__all_india",
   "label": "Rural, Female, 15-29, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    26.8
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__female__15_59__all_india": {
   "name": "gender_t86_rural__female__15_59__all_india",
   "label": "Rural, Female, 15-59, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    48.3
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__female__15__all_india": {
   "name": "gender_t86_rural__female__15__all_india",
   "label": "Rural, Female, 15+, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.9
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__female__all_ages__all_india": {
   "name": "gender_t86_rural__female__all_ages__all_india",
   "label": "Rural, Female, All ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    33.8
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__person__15_29__all_india": {
   "name": "gender_t86_rural__person__15_29__all_india",
   "label": "Rural, Person, 15-29, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    43.4
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__person__15_59__all_india": {
   "name": "gender_t86_rural__person__15_59__all_india",
   "label": "Rural, Person, 15-59, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.7
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__person__15__all_india": {
   "name": "gender_t86_rural__person__15__all_india",
   "label": "Rural, Person, 15+, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.2
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__person__all_ages__all_india": {
   "name": "gender_t86_rural__person__all_ages__all_india",
   "label": "Rural, Person, All ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.4
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "urban__male__15_29__all_india": {
   "name": "gender_t86_urban__male__15_29__all_india",
   "label": "Urban, Male, 15-29, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.8
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__male__15_59__all_india": {
   "name": "gender_t86_urban__male__15_59__all_india",
   "label": "Urban, Male, 15-59, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    78.6
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__male__15__all_india": {
   "name": "gender_t86_urban__male__15__all_india",
   "label": "Urban, Male, 15+, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    73
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__male__all_ages__all_india": {
   "name": "gender_t86_urban__male__all_ages__all_india",
   "label": "Urban, Male, All ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.2
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__female__15_29__all_india": {
   "name": "gender_t86_urban__female__15_29__all_india",
   "label": "Urban, Female, 15-29, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    18.9
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__female__15_59__all_india": {
   "name": "gender_t86_urban__female__15_59__all_india",
   "label": "Urban, Female, 15-59, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    28.7
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__female__15__all_india": {
   "name": "gender_t86_urban__female__15__all_india",
   "label": "Urban, Female, 15+, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    25.9
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__female__all_ages__all_india": {
   "name": "gender_t86_urban__female__all_ages__all_india",
   "label": "Urban, Female, All ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    20.7
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__person__15_29__all_india": {
   "name": "gender_t86_urban__person__15_29__all_india",
   "label": "Urban, Person, 15-29, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    37.2
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__person__15_59__all_india": {
   "name": "gender_t86_urban__person__15_59__all_india",
   "label": "Urban, Person, 15-59, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.1
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__person__15__all_india": {
   "name": "gender_t86_urban__person__15__all_india",
   "label": "Urban, Person, 15+, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    49.7
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__person__all_ages__all_india": {
   "name": "gender_t86_urban__person__all_ages__all_india",
   "label": "Urban, Person, All ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    39.3
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "total__male__15_29__all_india": {
   "name": "gender_t86_total__male__15_29__all_india",
   "label": "Total, Male, 15-29, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__male__15_59__all_india": {
   "name": "gender_t86_total__male__15_59__all_india",
   "label": "Total, Male, 15-59, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    80.7
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__male__15__all_india": {
   "name": "gender_t86_total__male__15__all_india",
   "label": "Total, Male, 15+, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    76.6
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__male__all_ages__all_india": {
   "name": "gender_t86_total__male__all_ages__all_india",
   "label": "Total, Male, All ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.2
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__female__15_29__all_india": {
   "name": "gender_t86_total__female__15_29__all_india",
   "label": "Total, Female, 15-29, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    24.4
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__female__15_59__all_india": {
   "name": "gender_t86_total__female__15_59__all_india",
   "label": "Total, Female, 15-59, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__female__15__all_india": {
   "name": "gender_t86_total__female__15__all_india",
   "label": "Total, Female, 15+, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    38.8
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__female__all_ages__all_india": {
   "name": "gender_t86_total__female__all_ages__all_india",
   "label": "Total, Female, All ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    29.8
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__person__15_29__all_india": {
   "name": "gender_t86_total__person__15_29__all_india",
   "label": "Total, Person, 15-29, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    41.4
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__person__15_59__all_india": {
   "name": "gender_t86_total__person__15_59__all_india",
   "label": "Total, Person, 15-59, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.2
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__person__15__all_india": {
   "name": "gender_t86_total__person__15__all_india",
   "label": "Total, Person, 15+, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.4
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__person__all_ages__all_india": {
   "name": "gender_t86_total__person__all_ages__all_india",
   "label": "Total, Person, All ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    43.5
   ],
   "group": "Total",
   "geo": "All India"
  }
 }
}