Data Dictionary

ID
id
Type
numeric
Label
index

ID
year
Type
text
Label
Year

ID
state_name
Type
text
Label
Name of the state

ID
district_name
Type
text
Label
Name of the district

ID
block_name
Type
text
Label
Name of the block

ID
gp_name
Type
text
Label
Name of the Gram Panchayat

ID
applied_jobcards
Type
numeric
Label
Number of applied job cards

ID
issued_jobcards
Type
numeric
Label
Number of issued job cards

ID
registered_workers_scs
Type
numeric
Label
Number of registered workers from Scheduled Castes

ID
registered_workers_sts
Type
numeric
Label
Number of registered workers from Scheduled Tribes

ID
registered_workers_others
Type
numeric
Label
Number of registered workers from other categories

ID
total_registered_workers
Type
numeric
Label
Total number of registered workers

ID
registered_workers_women
Type
numeric
Label
Number of registered female workers

ID
active_jobcards
Type
numeric
Label
Number of active job cards

ID
active_workers_scs
Type
numeric
Label
Number of active workers from Scheduled Castes

ID
active_workers_sts
Type
numeric
Label
Number of active workers from Scheduled Tribes

ID
active_workers_others
Type
numeric
Label
Number of active workers from other categories

ID
total_active_workers
Type
numeric
Label
Total number of active workers

ID
active_workers_women
Type
numeric
Label
Number of active female workers

Additional Information

Field Value
Data last updated October 8, 2023
Metadata last updated August 22, 2024
Created October 8, 2023
Format CSV
License Open Data Commons Attribution License
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 updated2023-10-05 00:00:00
Data retreival date2023-31-08
Datastore activeTrue
District no746
FrequencyYearly
Gp no212,047
GranularityGram Panchayat
Has viewsTrue
Id739aae45-0a9f-4ef0-a37b-f6c723d8685d
Idp readyTrue
Lgd mappingno
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 id12259aba-a89a-458d-bf04-1db040b05bfd
Position0
Size369 MiB
Skumord-mgnrega_category_wise_worker-gp-yr-aaa
Stateactive
States uts no34
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.
Indicators
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 2023-10-05 00:00:00
Sku mord-mgnrega_category_wise_worker-gp-yr-aaa
Dataset Frequency Yearly
Years Covered 2014-2023
No of States/UT(s) 34
No of Districts 746
No of Tehsils/blocks
No of Gram Panchayats 212047
Additional Information
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
LGD Mapping No