{
 "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 2.5)",
  "agency": "Sample Registration System, Office of the Registrar General of India",
  "compendiumTable": "2.5",
  "indicatorCode": 15,
  "base": "as published",
  "frequency": "annual",
  "unit": "per_1000",
  "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": "Year Wise Infant Mortality Rate",
  "periodLabels": {
   "2008-01-01": "2008",
   "2009-01-01": "2009",
   "2010-01-01": "2010",
   "2011-01-01": "2011",
   "2012-01-01": "2012",
   "2013-01-01": "2013",
   "2014-01-01": "2014",
   "2015-01-01": "2015",
   "2016-01-01": "2016",
   "2017-01-01": "2017",
   "2018-01-01": "2018",
   "2019-01-01": "2019",
   "2020-01-01": "2020",
   "2021-01-01": "2021",
   "2022-01-01": "2022",
   "2023-01-01": "2023"
  },
  "cut": "Sex",
  "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": [
  "2008-01-01",
  "2009-01-01",
  "2010-01-01",
  "2011-01-01",
  "2012-01-01",
  "2013-01-01",
  "2014-01-01",
  "2015-01-01",
  "2016-01-01",
  "2017-01-01",
  "2018-01-01",
  "2019-01-01",
  "2020-01-01",
  "2021-01-01",
  "2022-01-01",
  "2023-01-01"
 ],
 "series": {
  "male__all_india": {
   "name": "gender_t15_male__all_india",
   "label": "Male, All India",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    52,
    49,
    46,
    43,
    41,
    39,
    37,
    35,
    33,
    32,
    32,
    30,
    28,
    27,
    27,
    26
   ],
   "group": "Male",
   "geo": "All India"
  },
  "female__all_india": {
   "name": "gender_t15_female__all_india",
   "label": "Female, All India",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    55,
    52,
    49,
    46,
    44,
    42,
    40,
    39,
    36,
    34,
    33,
    31,
    28,
    27,
    26,
    25
   ],
   "group": "Female",
   "geo": "All India"
  },
  "person__all_india": {
   "name": "gender_t15_person__all_india",
   "label": "Person, All India",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    53,
    50,
    47,
    44,
    42,
    40,
    39,
    37,
    34,
    33,
    32,
    30,
    28,
    27,
    26,
    25
   ],
   "group": "Person",
   "geo": "All India"
  }
 }
}