Data Dictionary

ID
id
Type
int4
Label
index

ID
date
Type
date
Label
Date

ID
state_name
Type
text
Label
State Name

ID
state_code
Type
text
Label
State Code

ID
district_name
Type
text
Label
District Name

ID
district_code
Type
text
Label
District Code

ID
project
Type
numeric
Label
Name of ICDS project

ID
sector
Type
numeric
Label
Sectors within ICDS project

ID
anganwadi_centers
Type
numeric
Label
Number of Anganwadi Centers

ID
anganwadi_workers
Type
numeric
Label
Number of Anganwadi Workers

ID
anganwadi_helpers
Type
numeric
Label
Number of Anganwadi Helpers

ID
aadhar_verified_beneficiaries
Type
numeric
Label
Aadhaar verified Beneficiaries

ID
eligible_beneficiaries
Type
numeric
Label
Eligible Beneficiaries

ID
health_id_created
Type
numeric
Label
Beneficiaries with created digital health IDs

ID
awc_infra_drink_water_src
Type
numeric
Label
AWCs with drinking water facility

ID
awc_infra_func_toilets
Type
numeric
Label
AWCs with functional toilets

ID
awc_infra_own_building
Type
numeric
Label
AWCs operating in their own building

ID
awc_did_not_open
Type
numeric
Label
AWCs that did not open during period

ID
awc_open_atleast_1_day
Type
numeric
Label
AWCs open at least 1 day

ID
awc_opened_less_than_15_days
Type
numeric
Label
AWCs open less than 15 days

ID
awc_open_atleast_15_days
Type
numeric
Label
AWCs open at least 15 days

ID
awc_open_atleast_21_days
Type
numeric
Label
AWCs open at least 21 days

ID
awc_open_atleast_25_days
Type
numeric
Label
AWCs open at least 25 days

ID
adolescent_girls
Type
numeric
Label
Adolescent girl beneficiaries

ID
children_0_6_months
Type
numeric
Label
Children aged 0–6 months

ID
children_0_2_years
Type
numeric
Label
Children aged 0–2 years

ID
children_3_6_years
Type
numeric
Label
Children aged 3–6 years

ID
children_6_months_3_years
Type
numeric
Label
Children aged 6 months–3 years

ID
children_measured_0_5_years
Type
numeric
Label
Children aged 0–5 years measured for growth monitoring

ID
children_measured_0_6_years
Type
numeric
Label
Children aged 0–6 years measured for growth monitoring

ID
children_attend_awc_atleast_21_days
Type
numeric
Label
Children attending AWC at least 21 days

ID
children_attend_awc_atleast_25_days
Type
numeric
Label
Children attending AWC at least 25 days

ID
children_3_6_years_non_school_going
Type
numeric
Label
Children aged 3–6 years not attending school

ID
children_3_6_years_school_going
Type
numeric
Label
Children aged 3–6 years attending school

ID
hcm_given_1_6_days
Type
numeric
Label
Beneficiaries receiving hot cooked meals for 1–6 days

ID
hcm_given_7_14_days
Type
numeric
Label
Beneficiaries receiving hot cooked meals for 7–14 days

ID
hcm_given_15_20_days
Type
numeric
Label
Beneficiaries receiving hot cooked meals for 15–20 days

ID
hcm_given_atleast_1_day
Type
numeric
Label
Beneficiaries receiving hot cooked meals at least once

ID
hcm_given_atleast_15_days
Type
numeric
Label
Beneficiaries receiving hot cooked meals ≥15 days

ID
hcm_given_atleast_21_days
Type
numeric
Label
Beneficiaries receiving hot cooked meals ≥21 days

ID
hcm_given_atleast_25_days
Type
numeric
Label
Beneficiaries receiving hot cooked meals ≥25 days

ID
lactating_mothers
Type
numeric
Label
Registered lactating mothers

ID
pregnant_women
Type
numeric
Label
Registered pregnant women

ID
pregnant_women_and_lactating_mother
Type
numeric
Label
Pregnant and lactating women

ID
obese_or_overweight
Type
numeric
Label
Beneficiaries classified as obese or overweight

ID
severely_moderately_underweight
Type
numeric
Label
Children classified as severely or moderately underweight

ID
severely_or_moderately_stunted
Type
numeric
Label
Children classified as severely or moderately stunted

ID
wasting_sam_or_mam
Type
numeric
Label
Children with Severe or Moderate Acute Malnutrition

ID
thr_given_atleast_1_day
Type
numeric
Label
Beneficiaries receiving Take Home Ration at least once

ID
thr_given_atleast_21_days
Type
numeric
Label
Beneficiaries receiving Take Home Ration ≥21 days

ID
thr_given_atleast_25_days
Type
numeric
Label
Beneficiaries receiving Take Home Ration ≥25 days

ID
awc_mini
Type
numeric
Label
Number of Mini Anganwadi Centers

ID
awc_regular
Type
numeric
Label
Number of Regular Anganwadi Centers

ID
awc_rural
Type
numeric
Label
AWCs located in rural areas

ID
awc_urban
Type
numeric
Label
AWCs located in urban areas

ID
awc_total
Type
numeric
Label
Total number of Anganwadi Centers

ID
awc_tribal
Type
numeric
Label
AWCs located in tribal areas

ID
awc_tribal_rural
Type
numeric
Label
Tribal AWCs located in rural areas

ID
awc_tribal_urban
Type
numeric
Label
Tribal AWCs located in urban areas

ID
janman_rural
Type
numeric
Label
AWCs in rural areas covered under Janman initiative

ID
janman_urban
Type
numeric
Label
AWCs in urban areas covered under Janman initiative

ID
awc_rural_pvtg
Type
numeric
Label
Rural AWCs serving Particularly Vulnerable Tribal Groups (PVTG)

ID
awc_urban_pvtg
Type
numeric
Label
Urban AWCs serving Particularly Vulnerable Tribal Groups (PVTG)

Additional Information

Field Value
Data last updated March 10, 2026
Metadata last updated March 10, 2026
Created September 14, 2023
Format CSV
License Open Data Commons Attribution License
Data extraction pagehttps://www.poshantracker.in/statistics
Data insightsShows the scale and distribution of Anganwadi service infrastructure across districts and states. Helps assess beneficiary coverage of nutrition and early childhood services for children, pregnant women, and lactating mothers. Supports evaluation of nutrition service delivery, including hot cooked meals and take-home rations. Allows tracking of child nutrition outcomes such as underweight, stunting, and wasting across programme areas. Helps analyse operational performance of Anganwadi centres through indicators on opening days, staffing, and infrastructure availability.
Data last updatedUpdated Monthly
Data retreival date2023-07-31 00:00:00
Datastore activeTrue
District no780
FrequencyMonthly
Geo columns['state_code', 'district_code']
GranularityDistrict
Has viewsTrue
Id80edcc64-bd6c-42fa-9913-3d40d9582ffe
Idp readyTrue
Lgd mappingyes
MethodologyThe data in this dataset is collected by the Ministry of Women and Child Development, Government of India through various sources, including surveys, program reports, and administrative records. The data is compiled into a comprehensive dataset that is regularly updated.
Mimetypetext/csv
No indicators57
Package id19f04a02-c0ae-4d63-9b23-0fcc3c5efa63
Position0
Size9.8 MiB
Skumowcd-poshan_statistics-dt-mn-aaa
Stateactive
States uts no36
Tags['Poshan Tracker', 'ICDS Programme Monitoring', 'Anganwadi Centre Statistics', 'Child Nutrition Programme Data', 'Maternal and Child Health Beneficiaries', 'Public Nutrition Service Delivery', 'District-Level Administrative Data', 'India Nutrition Monitoring']
Url typeupload
Years covered2023-2026
Methodology The data in this dataset is collected by the Ministry of Women and Child Development, Government of India through various sources, including surveys, program reports, and administrative records. The data is compiled into a comprehensive dataset that is regularly updated.
Indicators
Similar Resources
Granularity Level District
Data Extraction Page https://www.poshantracker.in/statistics
Data Retreival Date 2023-07-31 00:00:00
Data Last Updated Updated Monthly
Sku mowcd-poshan_statistics-dt-mn-aaa
Dataset Frequency Monthly
Years Covered 2023-2026
No of States/UT(s) 36
No of Districts 780
No of Tehsils/blocks
No of Gram Panchayats
Additional Information
Number of Indicators 57
Insights from the dataset Shows the scale and distribution of Anganwadi service infrastructure across districts and states. Helps assess beneficiary coverage of nutrition and early childhood services for children, pregnant women, and lactating mothers. Supports evaluation of nutrition service delivery, including hot cooked meals and take-home rations. Allows tracking of child nutrition outcomes such as underweight, stunting, and wasting across programme areas. Helps analyse operational performance of Anganwadi centres through indicators on opening days, staffing, and infrastructure availability.
IDP Ready Yes
LGD Mapping Yes
Mapping Status %
Geo Columns ['state_code', 'district_code']