{
 "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 2.7)",
  "agency": "Sample Registration System, Office of the Registrar General of India",
  "compendiumTable": "2.7",
  "indicatorCode": 17,
  "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": "Under-Five Mortality Rates (U5MR)",
  "periodLabels": {
   "2020-01-01": "2020",
   "2021-01-01": "2021",
   "2022-01-01": "2022",
   "2023-01-01": "2023"
  },
  "cut": "Sex and state",
  "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": [
  "2020-01-01",
  "2021-01-01",
  "2022-01-01",
  "2023-01-01"
 ],
 "series": {
  "male__all_india": {
   "name": "gender_t17_male__all_india",
   "label": "Male, All India",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    31,
    31,
    30,
    30
   ],
   "group": "Male",
   "geo": "All India"
  },
  "female__all_india": {
   "name": "gender_t17_female__all_india",
   "label": "Female, All India",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    33,
    31,
    30,
    29
   ],
   "group": "Female",
   "geo": "All India"
  },
  "person__all_india": {
   "name": "gender_t17_person__all_india",
   "label": "Person, All India",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    32,
    31,
    30,
    29
   ],
   "group": "Person",
   "geo": "All India"
  },
  "male__andhra_pradesh": {
   "name": "gender_t17_male__andhra_pradesh",
   "label": "Male, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    26,
    25,
    25,
    21
   ],
   "group": "Male",
   "geo": "Andhra Pradesh"
  },
  "female__andhra_pradesh": {
   "name": "gender_t17_female__andhra_pradesh",
   "label": "Female, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    27,
    24,
    22,
    20
   ],
   "group": "Female",
   "geo": "Andhra Pradesh"
  },
  "person__andhra_pradesh": {
   "name": "gender_t17_person__andhra_pradesh",
   "label": "Person, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    27,
    24,
    23,
    21
   ],
   "group": "Person",
   "geo": "Andhra Pradesh"
  },
  "male__assam": {
   "name": "gender_t17_male__assam",
   "label": "Male, Assam",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    38,
    36,
    35,
    34
   ],
   "group": "Male",
   "geo": "Assam"
  },
  "female__assam": {
   "name": "gender_t17_female__assam",
   "label": "Female, Assam",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    43,
    38,
    35,
    33
   ],
   "group": "Female",
   "geo": "Assam"
  },
  "person__assam": {
   "name": "gender_t17_person__assam",
   "label": "Person, Assam",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    40,
    37,
    35,
    33
   ],
   "group": "Person",
   "geo": "Assam"
  },
  "male__bihar": {
   "name": "gender_t17_male__bihar",
   "label": "Male, Bihar",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    28,
    29,
    28,
    26
   ],
   "group": "Male",
   "geo": "Bihar"
  },
  "female__bihar": {
   "name": "gender_t17_female__bihar",
   "label": "Female, Bihar",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    33,
    33,
    31,
    28
   ],
   "group": "Female",
   "geo": "Bihar"
  },
  "person__bihar": {
   "name": "gender_t17_person__bihar",
   "label": "Person, Bihar",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    30,
    31,
    29,
    27
   ],
   "group": "Person",
   "geo": "Bihar"
  },
  "male__chhattisgarh": {
   "name": "gender_t17_male__chhattisgarh",
   "label": "Male, Chhattisgarh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    37,
    37,
    42,
    40
   ],
   "group": "Male",
   "geo": "Chhattisgarh"
  },
  "female__chhattisgarh": {
   "name": "gender_t17_female__chhattisgarh",
   "label": "Female, Chhattisgarh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    45,
    46,
    40,
    43
   ],
   "group": "Female",
   "geo": "Chhattisgarh"
  },
  "person__chhattisgarh": {
   "name": "gender_t17_person__chhattisgarh",
   "label": "Person, Chhattisgarh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    41,
    41,
    41,
    41
   ],
   "group": "Person",
   "geo": "Chhattisgarh"
  },
  "male__delhi": {
   "name": "gender_t17_male__delhi",
   "label": "Male, Delhi",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    16,
    16,
    14,
    14
   ],
   "group": "Male",
   "geo": "Delhi"
  },
  "female__delhi": {
   "name": "gender_t17_female__delhi",
   "label": "Female, Delhi",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    13,
    13,
    15,
    18
   ],
   "group": "Female",
   "geo": "Delhi"
  },
  "person__delhi": {
   "name": "gender_t17_person__delhi",
   "label": "Person, Delhi",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    14,
    14,
    15,
    16
   ],
   "group": "Person",
   "geo": "Delhi"
  },
  "male__gujarat": {
   "name": "gender_t17_male__gujarat",
   "label": "Male, Gujarat",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    25,
    25,
    26,
    23
   ],
   "group": "Male",
   "geo": "Gujarat"
  },
  "female__gujarat": {
   "name": "gender_t17_female__gujarat",
   "label": "Female, Gujarat",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    23,
    24,
    23,
    23
   ],
   "group": "Female",
   "geo": "Gujarat"
  },
  "person__gujarat": {
   "name": "gender_t17_person__gujarat",
   "label": "Person, Gujarat",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    24,
    24,
    25,
    23
   ],
   "group": "Person",
   "geo": "Gujarat"
  },
  "male__haryana": {
   "name": "gender_t17_male__haryana",
   "label": "Male, Haryana",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    33,
    32,
    32,
    32
   ],
   "group": "Male",
   "geo": "Haryana"
  },
  "female__haryana": {
   "name": "gender_t17_female__haryana",
   "label": "Female, Haryana",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    33,
    33,
    30,
    27
   ],
   "group": "Female",
   "geo": "Haryana"
  },
  "person__haryana": {
   "name": "gender_t17_person__haryana",
   "label": "Person, Haryana",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    33,
    33,
    31,
    30
   ],
   "group": "Person",
   "geo": "Haryana"
  },
  "male__himachal_pradesh": {
   "name": "gender_t17_male__himachal_pradesh",
   "label": "Male, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    28,
    26,
    25,
    19
   ],
   "group": "Male",
   "geo": "Himachal Pradesh"
  },
  "female__himachal_pradesh": {
   "name": "gender_t17_female__himachal_pradesh",
   "label": "Female, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    19,
    19,
    18,
    16
   ],
   "group": "Female",
   "geo": "Himachal Pradesh"
  },
  "person__himachal_pradesh": {
   "name": "gender_t17_person__himachal_pradesh",
   "label": "Person, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    24,
    23,
    22,
    17
   ],
   "group": "Person",
   "geo": "Himachal Pradesh"
  },
  "male__jammu_kashmir": {
   "name": "gender_t17_male__jammu_kashmir",
   "label": "Male, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    16,
    16,
    18,
    16
   ],
   "group": "Male",
   "geo": "Jammu & Kashmir"
  },
  "female__jammu_kashmir": {
   "name": "gender_t17_female__jammu_kashmir",
   "label": "Female, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    19,
    17,
    16,
    15
   ],
   "group": "Female",
   "geo": "Jammu & Kashmir"
  },
  "person__jammu_kashmir": {
   "name": "gender_t17_person__jammu_kashmir",
   "label": "Person, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    17,
    16,
    17,
    15
   ],
   "group": "Person",
   "geo": "Jammu & Kashmir"
  },
  "male__jharkhand": {
   "name": "gender_t17_male__jharkhand",
   "label": "Male, Jharkhand",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    26,
    26,
    27,
    33
   ],
   "group": "Male",
   "geo": "Jharkhand"
  },
  "female__jharkhand": {
   "name": "gender_t17_female__jharkhand",
   "label": "Female, Jharkhand",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    28,
    31,
    31,
    31
   ],
   "group": "Female",
   "geo": "Jharkhand"
  },
  "person__jharkhand": {
   "name": "gender_t17_person__jharkhand",
   "label": "Person, Jharkhand",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    27,
    28,
    29,
    32
   ],
   "group": "Person",
   "geo": "Jharkhand"
  },
  "male__karnataka": {
   "name": "gender_t17_male__karnataka",
   "label": "Male, Karnataka",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    21,
    21,
    19,
    17
   ],
   "group": "Male",
   "geo": "Karnataka"
  },
  "female__karnataka": {
   "name": "gender_t17_female__karnataka",
   "label": "Female, Karnataka",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    22,
    21,
    16,
    16
   ],
   "group": "Female",
   "geo": "Karnataka"
  },
  "person__karnataka": {
   "name": "gender_t17_person__karnataka",
   "label": "Person, Karnataka",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    21,
    21,
    17,
    17
   ],
   "group": "Person",
   "geo": "Karnataka"
  },
  "male__kerala": {
   "name": "gender_t17_male__kerala",
   "label": "Male, Kerala",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    12,
    9,
    11,
    10
   ],
   "group": "Male",
   "geo": "Kerala"
  },
  "female__kerala": {
   "name": "gender_t17_female__kerala",
   "label": "Female, Kerala",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    4,
    6,
    7,
    5
   ],
   "group": "Female",
   "geo": "Kerala"
  },
  "person__kerala": {
   "name": "gender_t17_person__kerala",
   "label": "Person, Kerala",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    8,
    8,
    9,
    8
   ],
   "group": "Person",
   "geo": "Kerala"
  },
  "male__madhya_pradesh": {
   "name": "gender_t17_male__madhya_pradesh",
   "label": "Male, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    51,
    50,
    47,
    42
   ],
   "group": "Male",
   "geo": "Madhya Pradesh"
  },
  "female__madhya_pradesh": {
   "name": "gender_t17_female__madhya_pradesh",
   "label": "Female, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    50,
    47,
    48,
    47
   ],
   "group": "Female",
   "geo": "Madhya Pradesh"
  },
  "person__madhya_pradesh": {
   "name": "gender_t17_person__madhya_pradesh",
   "label": "Person, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    51,
    49,
    47,
    44
   ],
   "group": "Person",
   "geo": "Madhya Pradesh"
  },
  "male__maharashtra": {
   "name": "gender_t17_male__maharashtra",
   "label": "Male, Maharashtra",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    18,
    17,
    16,
    17
   ],
   "group": "Male",
   "geo": "Maharashtra"
  },
  "female__maharashtra": {
   "name": "gender_t17_female__maharashtra",
   "label": "Female, Maharashtra",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    19,
    16,
    16,
    15
   ],
   "group": "Female",
   "geo": "Maharashtra"
  },
  "person__maharashtra": {
   "name": "gender_t17_person__maharashtra",
   "label": "Person, Maharashtra",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    18,
    16,
    16,
    16
   ],
   "group": "Person",
   "geo": "Maharashtra"
  },
  "male__odisha": {
   "name": "gender_t17_male__odisha",
   "label": "Male, Odisha",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    38,
    37,
    38,
    36
   ],
   "group": "Male",
   "geo": "Odisha"
  },
  "female__odisha": {
   "name": "gender_t17_female__odisha",
   "label": "Female, Odisha",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    40,
    39,
    35,
    34
   ],
   "group": "Female",
   "geo": "Odisha"
  },
  "person__odisha": {
   "name": "gender_t17_person__odisha",
   "label": "Person, Odisha",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    39,
    38,
    37,
    35
   ],
   "group": "Person",
   "geo": "Odisha"
  },
  "male__punjab": {
   "name": "gender_t17_male__punjab",
   "label": "Male, Punjab",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    20,
    22,
    19,
    22
   ],
   "group": "Male",
   "geo": "Punjab"
  },
  "female__punjab": {
   "name": "gender_t17_female__punjab",
   "label": "Female, Punjab",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    24,
    23,
    19,
    21
   ],
   "group": "Female",
   "geo": "Punjab"
  },
  "person__punjab": {
   "name": "gender_t17_person__punjab",
   "label": "Person, Punjab",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    22,
    22,
    19,
    22
   ],
   "group": "Person",
   "geo": "Punjab"
  },
  "male__rajasthan": {
   "name": "gender_t17_male__rajasthan",
   "label": "Male, Rajasthan",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    37,
    36,
    33,
    32
   ],
   "group": "Male",
   "geo": "Rajasthan"
  },
  "female__rajasthan": {
   "name": "gender_t17_female__rajasthan",
   "label": "Female, Rajasthan",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    43,
    43,
    37,
    37
   ],
   "group": "Female",
   "geo": "Rajasthan"
  },
  "person__rajasthan": {
   "name": "gender_t17_person__rajasthan",
   "label": "Person, Rajasthan",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    40,
    39,
    35,
    34
   ],
   "group": "Person",
   "geo": "Rajasthan"
  },
  "male__tamil_nadu": {
   "name": "gender_t17_male__tamil_nadu",
   "label": "Male, Tamil Nadu",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    13,
    14,
    14,
    12
   ],
   "group": "Male",
   "geo": "Tamil Nadu"
  },
  "female__tamil_nadu": {
   "name": "gender_t17_female__tamil_nadu",
   "label": "Female, Tamil Nadu",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    13,
    14,
    12,
    15
   ],
   "group": "Female",
   "geo": "Tamil Nadu"
  },
  "person__tamil_nadu": {
   "name": "gender_t17_person__tamil_nadu",
   "label": "Person, Tamil Nadu",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    13,
    14,
    13,
    13
   ],
   "group": "Person",
   "geo": "Tamil Nadu"
  },
  "male__telangana": {
   "name": "gender_t17_male__telangana",
   "label": "Male, Telangana",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    23,
    24,
    23,
    23
   ],
   "group": "Male",
   "geo": "Telangana"
  },
  "female__telangana": {
   "name": "gender_t17_female__telangana",
   "label": "Female, Telangana",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    24,
    19,
    21,
    21
   ],
   "group": "Female",
   "geo": "Telangana"
  },
  "person__telangana": {
   "name": "gender_t17_person__telangana",
   "label": "Person, Telangana",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    23,
    22,
    22,
    22
   ],
   "group": "Person",
   "geo": "Telangana"
  },
  "male__uttarakhand": {
   "name": "gender_t17_male__uttarakhand",
   "label": "Male, Uttarakhand",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    25,
    27,
    25,
    22
   ],
   "group": "Male",
   "geo": "Uttarakhand"
  },
  "female__uttarakhand": {
   "name": "gender_t17_female__uttarakhand",
   "label": "Female, Uttarakhand",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    26,
    26,
    24,
    23
   ],
   "group": "Female",
   "geo": "Uttarakhand"
  },
  "person__uttarakhand": {
   "name": "gender_t17_person__uttarakhand",
   "label": "Person, Uttarakhand",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    26,
    27,
    25,
    23
   ],
   "group": "Person",
   "geo": "Uttarakhand"
  },
  "male__uttar_pradesh": {
   "name": "gender_t17_male__uttar_pradesh",
   "label": "Male, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    43,
    43,
    42,
    43
   ],
   "group": "Male",
   "geo": "Uttar Pradesh"
  },
  "female__uttar_pradesh": {
   "name": "gender_t17_female__uttar_pradesh",
   "label": "Female, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    44,
    42,
    42,
    40
   ],
   "group": "Female",
   "geo": "Uttar Pradesh"
  },
  "person__uttar_pradesh": {
   "name": "gender_t17_person__uttar_pradesh",
   "label": "Person, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    43,
    43,
    42,
    42
   ],
   "group": "Person",
   "geo": "Uttar Pradesh"
  },
  "male__west_bengal": {
   "name": "gender_t17_male__west_bengal",
   "label": "Male, West Bengal",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    22,
    21,
    21,
    20
   ],
   "group": "Male",
   "geo": "West Bengal"
  },
  "female__west_bengal": {
   "name": "gender_t17_female__west_bengal",
   "label": "Female, West Bengal",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    22,
    19,
    18,
    17
   ],
   "group": "Female",
   "geo": "West Bengal"
  },
  "person__west_bengal": {
   "name": "gender_t17_person__west_bengal",
   "label": "Person, West Bengal",
   "color": "#5F6675",
   "unit": "per_1000",
   "data": [
    22,
    20,
    20,
    18
   ],
   "group": "Person",
   "geo": "West Bengal"
  }
 }
}