Data Dictionary

Column Type Label Description
id int4 index
date date Year
state_name text State Name
state_code text State Code
district_name text District Name
district_code text District Code
awc_infra_dws numeric AWC Infrastructure Drinking Water Source
awc_infra_fun_toilets numeric AWC Infrastructure Fuctional Toilets
awc_infra_own_buil numeric AWC Infrastructure Own Building
aadhar_verf_benf numeric Aadhaar verified Beneficiaries
adolescent_girls numeric Adolescent Girls
awc_open_1day numeric Anganwadi Centers Open For Atleast 1 Day
awc_open_21day numeric Anganwadi Centers Open For Atleast 21 Days
aww numeric Anganwadi Workers
awc numeric Angwanwadi Centers
children_0_6_months numeric Children (0-6 Months)
children_3_6_years numeric Children (3 - 6 Years)
children_6months_3years numeric Children (6 Months - 3 Years)
children_awc_21days numeric Children Attended AWC For Atleast 21 days
children_3_6_years_nonschool numeric Children(3 - 6 Years) Non-school Going
children_3_6_years_school numeric Children(3 - 6 Years) School Going
elgb_benef numeric Eligible Beneficiaries
health_id_created numeric Health ID Created
hcm_1_6days numeric Hot Cooked Meal (HCM) Given For 1-6 Days
hcm_15_20days numeric Hot Cooked Meal (HCM) Given For 15-20 Days
hcm_7_14days numeric Hot Cooked Meal (HCM) Given For 7-14 Days
hcm_atleast_1day numeric Hot Cooked Meal (HCM) Given For Atleast 1 Day
hcm_atleast_15days numeric Hot Cooked Meal (HCM) Given For Atleast 15 Days
hcm_atleast_21days numeric Hot Cooked Meal (HCM) Given For Atleast 21 Days
lact_mothers numeric Lactating Mothers
pregnant_women numeric Pregnant Women
project numeric Project
sector numeric Sector
thm_atleast_1day numeric Take Home Ration Given For Atleast 1 Day
thm_atleast_21days numeric Take Home Ration Given For Atleast 21 Days

Additional Information

Field Value
Data last updated June 24, 2024
Metadata last updated June 25, 2024
Created June 24, 2024
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://www.poshantracker.in/statistics
Data insightsBy analyzing this dataset, users can gain insights into the progress of the POSHAN Abhiyaan program in different districts of Himachal Pradesh. They can identify the districts with the highest coverage of different interventions and the gaps in coverage that need to be addressed. Users can also analyze the data to understand the impact of the program on the nutritional status of women and children in the state.
Data last updated(updated monthly)
Data retreival date2023-07-31 00:00:00
Datastore activeTrue
District no12
FrequencyMonthly
GranularityDistrict
Has viewsTrue
Idb8527459-92f6-4559-9c93-c0d34b800fd2
Idp readyTrue
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.
No indicators29
Package id3437951e-542e-40ec-9907-2c04cdd159d2
Position0
Size18 KiB
Skumowcd-poshan_statistics-dt-mn-him
Stateactive
States uts no1
Url typeupload
Years covered2,023
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.
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-him
Dataset Frequency Monthly
Years Covered 2023.0
No of States/UT(s) 1
No of Districts 12
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 29
Insights from the dataset By analyzing this dataset, users can gain insights into the progress of the POSHAN Abhiyaan program in different districts of Himachal Pradesh. They can identify the districts with the highest coverage of different interventions and the gaps in coverage that need to be addressed. Users can also analyze the data to understand the impact of the program on the nutritional status of women and children in the state.
IDP Ready Yes