Data Dictionary

Column Type Label Description
id int4 index
year text Year
state_name text Name of the state
district_name text Name of the district
block_name text Name of the block
gp_name text Name of the Gram Panchayat
applied_jobcards numeric Number of applied job cards
issued_jobcards numeric Number of issued job cards
registered_workers_scs numeric Number of registered workers from Scheduled Castes
registered_workers_sts numeric Number of registered workers from Scheduled Tribes
registered_workers_others numeric Number of registered workers from other categories
total_registered_workers numeric Total number of registered workers
registered_workers_women numeric Number of registered female workers
active_jobcards numeric Number of active job cards
active_workers_scs numeric Number of active workers from Scheduled Castes
active_workers_sts numeric Number of active workers from Scheduled Tribes
active_workers_others numeric Number of active workers from other categories
total_active_workers numeric Total number of active workers
active_workers_women numeric Number of active female workers

Additional Information

Field Value
Data last updated October 23, 2025
Metadata last updated October 23, 2025
Created October 23, 2025
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://nreganarep.nic.in/netnrega/app_issue.aspx?lflag=eng&fin_year=2022-2023&source=national&labels=labels&Digest=kODLAkQv8M9FT6WbXb7zhA
Data insightsA deep dive into the dataset reveals an intricate tapestry of employment patterns, worker registrations, and job card activations, each threaded with detailed sub-categories. One of the prominent threads in this tapestry is the explicit data on female workers - a categorical insight that allows an in-depth analysis of women's participation in the workforce. This feature, combined with the comprehensive data on Scheduled Castes, Scheduled Tribes, and other categories, transforms the dataset into a valuable resource for gender-specific and social group-specific analyses across various geographical demarcations.
Data last updated05-10-2023
Data retreival date2023-31-08
Datastore activeTrue
FrequencyYearly
GranularityGram Panchayat
Has viewsTrue
Idac445524-d93e-4744-ad85-ebf99bb688ba
Idp readyTrue
MethodologyThe dataset is sourced directly from the official MGNREGA portal, managed by the Government of India. Data submissions, made by individual states, districts, and Gram Panchayats, undergo a validation process to ensure accuracy. Once verified, the data is consolidated to reflect comprehensive rural employment statistics for the specified year.
No indicators13
Package ide7088acd-2980-4a74-92b3-66b4a798c99e
Position3
Size4.8 MiB
Skumord-mgnrega_category_wise_worker-gp-yr-him
Stateactive
States uts no1
Url typeupload
Years covered2014-2023
Methodology The dataset is sourced directly from the official MGNREGA portal, managed by the Government of India. Data submissions, made by individual states, districts, and Gram Panchayats, undergo a validation process to ensure accuracy. Once verified, the data is consolidated to reflect comprehensive rural employment statistics for the specified year.
Similar Resources
Granularity Level Gram Panchayat
Data Extraction Page https://nreganarep.nic.in/netnrega/app_issue.aspx?lflag=eng&fin_year=2022-2023&source=national&labels=labels&Digest=kODLAkQv8M9FT6WbXb7zhA
Data Retreival Date 2023-31-08
Data Last Updated 05-10-2023
Sku mord-mgnrega_category_wise_worker-gp-yr-him
Dataset Frequency Yearly
Years Covered 2014-2023
No of States/UT(s) 1
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 13
Insights from the dataset A deep dive into the dataset reveals an intricate tapestry of employment patterns, worker registrations, and job card activations, each threaded with detailed sub-categories. One of the prominent threads in this tapestry is the explicit data on female workers - a categorical insight that allows an in-depth analysis of women's participation in the workforce. This feature, combined with the comprehensive data on Scheduled Castes, Scheduled Tribes, and other categories, transforms the dataset into a valuable resource for gender-specific and social group-specific analyses across various geographical demarcations.
IDP Ready Yes