Category Wise Workers
The dataset encapsulates vital statistics on rural employment in India, offering granular insights into job card allocations and worker registrations. Segregated by states, districts, and Gram Panchayats, it illuminates the depth of outreach and inclusivity of the initiative. Notably, the dataset highlights female participation, serving as a benchmark resource for evaluating gender inclusivity in rural employment drives.
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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 page | https://nreganarep.nic.in/netnrega/app_issue.aspx?lflag=eng&fin_year=2022-2023&source=national&labels=labels&Digest=kODLAkQv8M9FT6WbXb7zhA |
Data insights | 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. |
Data last updated | 2023-10-05 00:00:00 |
Data retreival date | 2023-31-08 |
Datastore active | True |
District no | 746 |
Frequency | Yearly |
Gp no | 212,047 |
Granularity | Gram Panchayat |
Has views | True |
Id | 739aae45-0a9f-4ef0-a37b-f6c723d8685d |
Idp ready | True |
Lgd mapping | no |
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. |
No indicators | 13 |
Package id | 12259aba-a89a-458d-bf04-1db040b05bfd |
Position | 0 |
Size | 369 MiB |
Sku | mord-mgnrega_category_wise_worker-gp-yr-aaa |
State | active |
States uts no | 34 |
Url type | upload |
Years covered | 2014-2023 |
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 |