{
 "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 4.13)",
  "agency": "Periodic Labour Force Survey, National Statistics Office, MoSPI",
  "compendiumTable": "4.13",
  "indicatorCode": 93,
  "base": "PLFS, agricultural years (July to June)",
  "frequency": "annual",
  "unit": "percent",
  "vintage": "2026-10-09",
  "geo": "IND",
  "latestPeriod": "2021-22 (July to June)",
  "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": "Year Wise Unemployment rates in the labour force-usual status (PLFS, agricultural years (July to June))",
  "periodLabels": {
   "2017-07-01": "2017-18",
   "2018-07-01": "2018-19",
   "2019-07-01": "2019-20",
   "2020-07-01": "2020-21",
   "2021-07-01": "2021-22"
  },
  "cut": "Rural or urban and sex",
  "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, agricultural years (July to June)); 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": [
  "2017-07-01",
  "2018-07-01",
  "2019-07-01",
  "2020-07-01",
  "2021-07-01"
 ],
 "series": {
  "rural__male__all_india": {
   "name": "gender_t93_rural__male__all_india",
   "label": "Rural, Male, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5.8,
    5.6,
    4.5,
    3.9,
    3.8
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "rural__female__all_india": {
   "name": "gender_t93_rural__female__all_india",
   "label": "Rural, Female, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.8,
    3.5,
    2.6,
    2.1,
    2.1
   ],
   "group": "Rural",
   "geo": "All India"
  },
  "urban__male__all_india": {
   "name": "gender_t93_urban__male__all_india",
   "label": "Urban, Male, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    7.1,
    7.1,
    6.4,
    6.1,
    5.8
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "urban__female__all_india": {
   "name": "gender_t93_urban__female__all_india",
   "label": "Urban, Female, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    10.8,
    9.9,
    8.9,
    8.6,
    7.9
   ],
   "group": "Urban",
   "geo": "All India"
  },
  "total__male__all_india": {
   "name": "gender_t93_total__male__all_india",
   "label": "Total, Male, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    6.2,
    6,
    5.1,
    4.5,
    4.4
   ],
   "group": "Total",
   "geo": "All India"
  },
  "total__female__all_india": {
   "name": "gender_t93_total__female__all_india",
   "label": "Total, Female, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5.7,
    5.2,
    4.2,
    3.5,
    3.3
   ],
   "group": "Total",
   "geo": "All India"
  }
 }
}