{
 "meta": {
  "dossier": "gender",
  "product": "gender",
  "source": "National Family Health Survey, NFHS-4 (2015-16) and NFHS-5 (2019-21), Ministry of Health and Family Welfare (IIPS), as reprinted in MoSPI's Women and Men in India 2025 (table 2.16)",
  "agency": "National Family Health Survey, NFHS-4 (2015-16) and NFHS-5 (2019-21), Ministry of Health and Family Welfare (IIPS)",
  "compendiumTable": "2.16",
  "indicatorCode": 28,
  "base": "NFHS-5, 2019-21",
  "frequency": "cross-sectional",
  "unit": "percent",
  "vintage": "2026-10-09",
  "geo": "IND",
  "latestPeriod": "NFHS-5, 2019-21",
  "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": "Proportion of Adults who are Obese (BMI >= 30.0) (NFHS-5, 2019-21)",
  "periodLabels": {
   "2020-01-01": "NFHS-5, 2019-21"
  },
  "cut": "Sex and state",
  "note": "MoSPI's compendium reprints this table from National Family Health Survey, NFHS-4 (2015-16) and NFHS-5 (2019-21), Ministry of Health and Family Welfare (IIPS); the figures are that agency's. This bundle holds one instrument only (NFHS-5, 2019-21); 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": [
  "2020-01-01"
 ],
 "series": {
  "male__all_india": {
   "name": "gender_t28_male__all_india",
   "label": "Male, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    4
   ],
   "group": "Male",
   "geo": "All India"
  },
  "female__all_india": {
   "name": "gender_t28_female__all_india",
   "label": "Female, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    6.4
   ],
   "group": "Female",
   "geo": "All India"
  },
  "male__andaman_nicobar_islands": {
   "name": "gender_t28_male__andaman_nicobar_islands",
   "label": "Male, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    10.8
   ],
   "group": "Male",
   "geo": "Andaman & Nicobar  Islands"
  },
  "female__andaman_nicobar_islands": {
   "name": "gender_t28_female__andaman_nicobar_islands",
   "label": "Female, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    12.6
   ],
   "group": "Female",
   "geo": "Andaman & Nicobar  Islands"
  },
  "male__andhra_pradesh": {
   "name": "gender_t28_male__andhra_pradesh",
   "label": "Male, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    6.3
   ],
   "group": "Male",
   "geo": "Andhra Pradesh"
  },
  "female__andhra_pradesh": {
   "name": "gender_t28_female__andhra_pradesh",
   "label": "Female, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    12
   ],
   "group": "Female",
   "geo": "Andhra Pradesh"
  },
  "male__arunachal_pradesh": {
   "name": "gender_t28_male__arunachal_pradesh",
   "label": "Male, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.6
   ],
   "group": "Male",
   "geo": "Arunachal Pradesh"
  },
  "female__arunachal_pradesh": {
   "name": "gender_t28_female__arunachal_pradesh",
   "label": "Female, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.8
   ],
   "group": "Female",
   "geo": "Arunachal Pradesh"
  },
  "male__assam": {
   "name": "gender_t28_male__assam",
   "label": "Male, Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    1.9
   ],
   "group": "Male",
   "geo": "Assam"
  },
  "female__assam": {
   "name": "gender_t28_female__assam",
   "label": "Female, Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.5
   ],
   "group": "Female",
   "geo": "Assam"
  },
  "male__bihar": {
   "name": "gender_t28_male__bihar",
   "label": "Male, Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    1.7
   ],
   "group": "Male",
   "geo": "Bihar"
  },
  "female__bihar": {
   "name": "gender_t28_female__bihar",
   "label": "Female, Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.3
   ],
   "group": "Female",
   "geo": "Bihar"
  },
  "male__chandigarh": {
   "name": "gender_t28_male__chandigarh",
   "label": "Male, Chandigarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    8.6
   ],
   "group": "Male",
   "geo": "Chandigarh"
  },
  "female__chandigarh": {
   "name": "gender_t28_female__chandigarh",
   "label": "Female, Chandigarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    16.3
   ],
   "group": "Female",
   "geo": "Chandigarh"
  },
  "male__chhattisgarh": {
   "name": "gender_t28_male__chhattisgarh",
   "label": "Male, Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.3
   ],
   "group": "Male",
   "geo": "Chhattisgarh"
  },
  "female__chhattisgarh": {
   "name": "gender_t28_female__chhattisgarh",
   "label": "Female, Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.3
   ],
   "group": "Female",
   "geo": "Chhattisgarh"
  },
  "male__dadra_nagar_haveli_and_daman_d": {
   "name": "gender_t28_male__dadra_nagar_haveli_and_daman_d",
   "label": "Male, Dadra & Nagar Haveli and Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.1
   ],
   "group": "Male",
   "geo": "Dadra & Nagar Haveli and Daman & Diu"
  },
  "female__dadra_nagar_haveli_and_daman_d": {
   "name": "gender_t28_female__dadra_nagar_haveli_and_daman_d",
   "label": "Female, Dadra & Nagar Haveli and Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    7
   ],
   "group": "Female",
   "geo": "Dadra & Nagar Haveli and Daman & Diu"
  },
  "male__delhi": {
   "name": "gender_t28_male__delhi",
   "label": "Male, Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    6.9
   ],
   "group": "Male",
   "geo": "Delhi"
  },
  "female__delhi": {
   "name": "gender_t28_female__delhi",
   "label": "Female, Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    14.2
   ],
   "group": "Female",
   "geo": "Delhi"
  },
  "male__goa": {
   "name": "gender_t28_male__goa",
   "label": "Male, Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.8
   ],
   "group": "Male",
   "geo": "Goa"
  },
  "female__goa": {
   "name": "gender_t28_female__goa",
   "label": "Female, Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    9.5
   ],
   "group": "Female",
   "geo": "Goa"
  },
  "male__gujarat": {
   "name": "gender_t28_male__gujarat",
   "label": "Male, Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    4.4
   ],
   "group": "Male",
   "geo": "Gujarat"
  },
  "female__gujarat": {
   "name": "gender_t28_female__gujarat",
   "label": "Female, Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    6.9
   ],
   "group": "Female",
   "geo": "Gujarat"
  },
  "male__haryana": {
   "name": "gender_t28_male__haryana",
   "label": "Male, Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5.9
   ],
   "group": "Male",
   "geo": "Haryana"
  },
  "female__haryana": {
   "name": "gender_t28_female__haryana",
   "label": "Female, Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    9.9
   ],
   "group": "Female",
   "geo": "Haryana"
  },
  "male__himachal_pradesh": {
   "name": "gender_t28_male__himachal_pradesh",
   "label": "Male, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    4.5
   ],
   "group": "Male",
   "geo": "Himachal Pradesh"
  },
  "female__himachal_pradesh": {
   "name": "gender_t28_female__himachal_pradesh",
   "label": "Female, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    7.5
   ],
   "group": "Female",
   "geo": "Himachal Pradesh"
  },
  "male__jammu_kashmir": {
   "name": "gender_t28_male__jammu_kashmir",
   "label": "Male, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3
   ],
   "group": "Male",
   "geo": "Jammu & Kashmir"
  },
  "female__jammu_kashmir": {
   "name": "gender_t28_female__jammu_kashmir",
   "label": "Female, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    4.8
   ],
   "group": "Female",
   "geo": "Jammu & Kashmir"
  },
  "male__jharkhand": {
   "name": "gender_t28_male__jharkhand",
   "label": "Male, Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    1.4
   ],
   "group": "Male",
   "geo": "Jharkhand"
  },
  "female__jharkhand": {
   "name": "gender_t28_female__jharkhand",
   "label": "Female, Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.5
   ],
   "group": "Female",
   "geo": "Jharkhand"
  },
  "male__karnataka": {
   "name": "gender_t28_male__karnataka",
   "label": "Male, Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5.8
   ],
   "group": "Male",
   "geo": "Karnataka"
  },
  "female__karnataka": {
   "name": "gender_t28_female__karnataka",
   "label": "Female, Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    8.5
   ],
   "group": "Female",
   "geo": "Karnataka"
  },
  "male__kerala": {
   "name": "gender_t28_male__kerala",
   "label": "Male, Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    6.7
   ],
   "group": "Male",
   "geo": "Kerala"
  },
  "female__kerala": {
   "name": "gender_t28_female__kerala",
   "label": "Female, Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    9.8
   ],
   "group": "Female",
   "geo": "Kerala"
  },
  "male__ladakh": {
   "name": "gender_t28_male__ladakh",
   "label": "Male, Ladakh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.9
   ],
   "group": "Male",
   "geo": "Ladakh"
  },
  "female__ladakh": {
   "name": "gender_t28_female__ladakh",
   "label": "Female, Ladakh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.2
   ],
   "group": "Female",
   "geo": "Ladakh"
  },
  "male__lakshadweep": {
   "name": "gender_t28_male__lakshadweep",
   "label": "Male, Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5
   ],
   "group": "Male",
   "geo": "Lakshadweep"
  },
  "female__lakshadweep": {
   "name": "gender_t28_female__lakshadweep",
   "label": "Female, Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    6.9
   ],
   "group": "Female",
   "geo": "Lakshadweep"
  },
  "male__madhya_pradesh": {
   "name": "gender_t28_male__madhya_pradesh",
   "label": "Male, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.6
   ],
   "group": "Male",
   "geo": "Madhya Pradesh"
  },
  "female__madhya_pradesh": {
   "name": "gender_t28_female__madhya_pradesh",
   "label": "Female, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.7
   ],
   "group": "Female",
   "geo": "Madhya Pradesh"
  },
  "male__maharashtra": {
   "name": "gender_t28_male__maharashtra",
   "label": "Male, Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    4.7
   ],
   "group": "Male",
   "geo": "Maharashtra"
  },
  "female__maharashtra": {
   "name": "gender_t28_female__maharashtra",
   "label": "Female, Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    6.3
   ],
   "group": "Female",
   "geo": "Maharashtra"
  },
  "male__manipur": {
   "name": "gender_t28_male__manipur",
   "label": "Male, Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.9
   ],
   "group": "Male",
   "geo": "Manipur"
  },
  "female__manipur": {
   "name": "gender_t28_female__manipur",
   "label": "Female, Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    7.4
   ],
   "group": "Female",
   "geo": "Manipur"
  },
  "male__meghalaya": {
   "name": "gender_t28_male__meghalaya",
   "label": "Male, Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    1.6
   ],
   "group": "Male",
   "geo": "Meghalaya"
  },
  "female__meghalaya": {
   "name": "gender_t28_female__meghalaya",
   "label": "Female, Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    1.4
   ],
   "group": "Female",
   "geo": "Meghalaya"
  },
  "male__mizoram": {
   "name": "gender_t28_male__mizoram",
   "label": "Male, Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5.6
   ],
   "group": "Male",
   "geo": "Mizoram"
  },
  "female__mizoram": {
   "name": "gender_t28_female__mizoram",
   "label": "Female, Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    4.6
   ],
   "group": "Female",
   "geo": "Mizoram"
  },
  "male__nagaland": {
   "name": "gender_t28_male__nagaland",
   "label": "Male, Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.6
   ],
   "group": "Male",
   "geo": "Nagaland"
  },
  "female__nagaland": {
   "name": "gender_t28_female__nagaland",
   "label": "Female, Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    1.8
   ],
   "group": "Female",
   "geo": "Nagaland"
  },
  "male__odisha": {
   "name": "gender_t28_male__odisha",
   "label": "Male, Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    4.1
   ],
   "group": "Male",
   "geo": "Odisha"
  },
  "female__odisha": {
   "name": "gender_t28_female__odisha",
   "label": "Female, Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5.2
   ],
   "group": "Female",
   "geo": "Odisha"
  },
  "male__puducherry": {
   "name": "gender_t28_male__puducherry",
   "label": "Male, Puducherry",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    9.2
   ],
   "group": "Male",
   "geo": "Puducherry"
  },
  "female__puducherry": {
   "name": "gender_t28_female__puducherry",
   "label": "Female, Puducherry",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    18.2
   ],
   "group": "Female",
   "geo": "Puducherry"
  },
  "male__punjab": {
   "name": "gender_t28_male__punjab",
   "label": "Male, Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    8.3
   ],
   "group": "Male",
   "geo": "Punjab"
  },
  "female__punjab": {
   "name": "gender_t28_female__punjab",
   "label": "Female, Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    14.2
   ],
   "group": "Female",
   "geo": "Punjab"
  },
  "male__rajasthan": {
   "name": "gender_t28_male__rajasthan",
   "label": "Male, Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    1.2
   ],
   "group": "Male",
   "geo": "Rajasthan"
  },
  "female__rajasthan": {
   "name": "gender_t28_female__rajasthan",
   "label": "Female, Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.7
   ],
   "group": "Female",
   "geo": "Rajasthan"
  },
  "male__sikkim": {
   "name": "gender_t28_male__sikkim",
   "label": "Male, Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5.8
   ],
   "group": "Male",
   "geo": "Sikkim"
  },
  "female__sikkim": {
   "name": "gender_t28_female__sikkim",
   "label": "Female, Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    6.9
   ],
   "group": "Female",
   "geo": "Sikkim"
  },
  "male__tamil_nadu": {
   "name": "gender_t28_male__tamil_nadu",
   "label": "Male, Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    8.7
   ],
   "group": "Male",
   "geo": "Tamil Nadu"
  },
  "female__tamil_nadu": {
   "name": "gender_t28_female__tamil_nadu",
   "label": "Female, Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    14.1
   ],
   "group": "Female",
   "geo": "Tamil Nadu"
  },
  "male__telangana": {
   "name": "gender_t28_male__telangana",
   "label": "Male, Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    7.5
   ],
   "group": "Male",
   "geo": "Telangana"
  },
  "female__telangana": {
   "name": "gender_t28_female__telangana",
   "label": "Female, Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    8.9
   ],
   "group": "Female",
   "geo": "Telangana"
  },
  "male__tripura": {
   "name": "gender_t28_male__tripura",
   "label": "Male, Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3
   ],
   "group": "Male",
   "geo": "Tripura"
  },
  "female__tripura": {
   "name": "gender_t28_female__tripura",
   "label": "Female, Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.9
   ],
   "group": "Female",
   "geo": "Tripura"
  },
  "male__uttarakhand": {
   "name": "gender_t28_male__uttarakhand",
   "label": "Male, Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5
   ],
   "group": "Male",
   "geo": "Uttarakhand"
  },
  "female__uttarakhand": {
   "name": "gender_t28_female__uttarakhand",
   "label": "Female, Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    7.4
   ],
   "group": "Female",
   "geo": "Uttarakhand"
  },
  "male__uttar_pradesh": {
   "name": "gender_t28_male__uttar_pradesh",
   "label": "Male, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    2.9
   ],
   "group": "Male",
   "geo": "Uttar Pradesh"
  },
  "female__uttar_pradesh": {
   "name": "gender_t28_female__uttar_pradesh",
   "label": "Female, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5.2
   ],
   "group": "Female",
   "geo": "Uttar Pradesh"
  },
  "male__west_bengal": {
   "name": "gender_t28_male__west_bengal",
   "label": "Male, West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    1.9
   ],
   "group": "Male",
   "geo": "West Bengal"
  },
  "female__west_bengal": {
   "name": "gender_t28_female__west_bengal",
   "label": "Female, West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    4.6
   ],
   "group": "Female",
   "geo": "West Bengal"
  }
 }
}