{
 "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 4.14)",
  "agency": "Periodic Labour Force Survey, National Statistics Office, MoSPI",
  "compendiumTable": "4.14",
  "indicatorCode": 94,
  "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 Wise Unemployment rates in the labour force-usual status (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_year__all_india": {
   "name": "gender_t94_rural__male__15_29_year__all_india",
   "label": "Rural, Male, 15-29 year, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    8.2
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__male__15_59_years__all_india": {
   "name": "gender_t94_rural__male__15_59_years__all_india",
   "label": "Rural, Male, 15-59 years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__male__15_years__all_india": {
   "name": "gender_t94_rural__male__15_years__all_india",
   "label": "Rural, Male, 15+years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.6
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__male__all_ages__all_india": {
   "name": "gender_t94_rural__male__all_ages__all_india",
   "label": "Rural, Male, All Ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.6
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__female__15_29_year__all_india": {
   "name": "gender_t94_rural__female__15_29_year__all_india",
   "label": "Rural, Female, 15-29 year, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    8.6
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__female__15_59_years__all_india": {
   "name": "gender_t94_rural__female__15_59_years__all_india",
   "label": "Rural, Female, 15-59 years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.3
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__female__15_years__all_india": {
   "name": "gender_t94_rural__female__15_years__all_india",
   "label": "Rural, Female, 15+years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.1
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__female__all_ages__all_india": {
   "name": "gender_t94_rural__female__all_ages__all_india",
   "label": "Rural, Female, All Ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.1
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__person__15_29_year__all_india": {
   "name": "gender_t94_rural__person__15_29_year__all_india",
   "label": "Rural, Person, 15-29 year, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    8.3
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__person__15_59_years__all_india": {
   "name": "gender_t94_rural__person__15_59_years__all_india",
   "label": "Rural, Person, 15-59 years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.7
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__person__15_years__all_india": {
   "name": "gender_t94_rural__person__15_years__all_india",
   "label": "Rural, Person, 15+years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.4
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__person__all_ages__all_india": {
   "name": "gender_t94_rural__person__all_ages__all_india",
   "label": "Rural, Person, All Ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.4
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "urban__male__15_29_year__all_india": {
   "name": "gender_t94_urban__male__15_29_year__all_india",
   "label": "Urban, Male, 15-29 year, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    11.8
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__male__15_59_years__all_india": {
   "name": "gender_t94_urban__male__15_59_years__all_india",
   "label": "Urban, Male, 15-59 years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    4.5
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__male__15_years__all_india": {
   "name": "gender_t94_urban__male__15_years__all_india",
   "label": "Urban, Male, 15+years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    4.2
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__male__all_ages__all_india": {
   "name": "gender_t94_urban__male__all_ages__all_india",
   "label": "Urban, Male, All Ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    4.2
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__female__15_29_year__all_india": {
   "name": "gender_t94_urban__female__15_29_year__all_india",
   "label": "Urban, Female, 15-29 year, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    18.9
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__female__15_59_years__all_india": {
   "name": "gender_t94_urban__female__15_59_years__all_india",
   "label": "Urban, Female, 15-59 years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    6.8
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__female__15_years__all_india": {
   "name": "gender_t94_urban__female__15_years__all_india",
   "label": "Urban, Female, 15+years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    6.4
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__female__all_ages__all_india": {
   "name": "gender_t94_urban__female__all_ages__all_india",
   "label": "Urban, Female, All Ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    6.4
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__person__15_29_year__all_india": {
   "name": "gender_t94_urban__person__15_29_year__all_india",
   "label": "Urban, Person, 15-29 year, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    13.6
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__person__15_59_years__all_india": {
   "name": "gender_t94_urban__person__15_59_years__all_india",
   "label": "Urban, Person, 15-59 years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5.1
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__person__15_years__all_india": {
   "name": "gender_t94_urban__person__15_years__all_india",
   "label": "Urban, Person, 15+years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    4.8
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__person__all_ages__all_india": {
   "name": "gender_t94_urban__person__all_ages__all_india",
   "label": "Urban, Person, All Ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    4.8
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "total__male__15_29_year__all_india": {
   "name": "gender_t94_total__male__15_29_year__all_india",
   "label": "Total, Male, 15-29 year, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    9.3
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__male__15_59_years__all_india": {
   "name": "gender_t94_total__male__15_59_years__all_india",
   "label": "Total, Male, 15-59 years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.5
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__male__15_years__all_india": {
   "name": "gender_t94_total__male__15_years__all_india",
   "label": "Total, Male, 15+years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.1
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__male__all_ages__all_india": {
   "name": "gender_t94_total__male__all_ages__all_india",
   "label": "Total, Male, All Ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.1
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__female__15_29_year__all_india": {
   "name": "gender_t94_total__female__15_29_year__all_india",
   "label": "Total, Female, 15-29 year, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    11.3
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__female__15_59_years__all_india": {
   "name": "gender_t94_total__female__15_59_years__all_india",
   "label": "Total, Female, 15-59 years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.4
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__female__15_years__all_india": {
   "name": "gender_t94_total__female__15_years__all_india",
   "label": "Total, Female, 15+years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.1
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__female__all_ages__all_india": {
   "name": "gender_t94_total__female__all_ages__all_india",
   "label": "Total, Female, All Ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.1
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__person__15_29_year__all_india": {
   "name": "gender_t94_total__person__15_29_year__all_india",
   "label": "Total, Person, 15-29 year, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    9.9
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__person__15_59_years__all_india": {
   "name": "gender_t94_total__person__15_59_years__all_india",
   "label": "Total, Person, 15-59 years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.4
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__person__15_years__all_india": {
   "name": "gender_t94_total__person__15_years__all_india",
   "label": "Total, Person, 15+years, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.1
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__person__all_ages__all_india": {
   "name": "gender_t94_total__person__all_ages__all_india",
   "label": "Total, Person, All Ages, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.1
   ],
   "group": "Total",
   "geo": "All India"
  }
 }
}