DBT District Wise
The dataset has been updated to include the year-wise Direct Benefit Transfer performance for various districts in Meghalaya for the financial years 2019 to 2023.
Data Dictionary
| Column | Type | Label | Description |
|---|---|---|---|
| id | int4 | index | |
| fy | text | Financial Year | |
| state_name | text | State Name | |
| state_code | text | State Code | |
| district_name | text | Name of the District | |
| district_code | text | District Code | |
| total_dbt_transfer | numeric | Total Amount of DBT Transfers | |
| no_of_dbt_transactions | numeric | Total Number of DBT Transactions |
Additional Information
| Field | Value |
|---|---|
| Data last updated | June 5, 2024 |
| Metadata last updated | June 5, 2024 |
| Created | unknown |
| Format | CSV |
| License | No License Provided |
| Created | 5 months ago |
| Frequency | Yearly |
| Size | 4,830 |
| Additional info | nan |
| Data extraction page | https://dbtbharat.gov.in/ajax/home/district-data-map |
| Data insights | 1. The data on Direct Benefit Transfer (DBT) scheme district-wise reveals the distribution of financial transactions and total funds transferred, enabling an assessment of the scheme's impact on each district in Meghalaya. This analysis can help in understanding the varying levels of benefit distribution and identifying areas for targeted policy interventions.2. By examining the DBT data over multiple financial years, starting from 2019, it is possible to discern trends in the implementation of the scheme across different districts in Meghalaya. This information can be instrumental in evaluating the effectiveness of policy measures and identifying regions that may require additional support or resources.3. The district-wise breakdown of DBT transactions and fund transfers provides quantitative evidence to measure the implications of the policy at the local level, facilitating the monitoring of benefits received by citizens in Meghalaya. This allows for a comprehensive assessment of the scheme's impact on a district and state-wise basis. |
| Data last updated | 2,023 |
| Data retreival date | 2023-08-08 00:00:00 |
| Datastore active | True |
| District no | 12 |
| Gp no | 0 |
| Granularity | District |
| Has views | True |
| Id | ccf8e0bc-0459-46aa-99ea-48829f777393 |
| Idp ready | True |
| Methodology | The number of DBT transactions and the amount transferred is recorded for all districts for each financial year starting from 2019 by Direct Benefit Transfer Mission, Government of India and consolidated on the Direct Benefit Transfer website. These districts and their performance is mapped to the LGD district ids and state ids. |
| No indicators | 4 |
| Package id | 5a9b90c8-63e3-4d21-8106-a6bcdc817315 |
| Position | 1 |
| Sku | cabinet-dbtbharat_dbt_performance-dt-ot-meg |
| State | active |
| States uts no | 1 |
| Tehsil no | 0 |
| Url type | upload |
| Years covered | 2019-2023 |
| Methodology | The number of DBT transactions and the amount transferred is recorded for all districts for each financial year starting from 2019 by Direct Benefit Transfer Mission, Government of India and consolidated on the Direct Benefit Transfer website. These districts and their performance is mapped to the LGD district ids and state ids. |
| Similar Resources | |
| Granularity Level | District |
| Data Extraction Page | https://dbtbharat.gov.in/ajax/home/district-data-map |
| Data Retreival Date | 2023-08-08 00:00:00 |
| Data Last Updated | 2023 |
| Sku | cabinet-dbtbharat_dbt_performance-dt-ot-meg |
| Dataset Frequency | |
| Years Covered | 2019-2023 |
| No of States/UT(s) | 1 |
| No of Districts | 12 |
| No of Tehsils/blocks | 0 |
| No of Gram Panchayats | 0 |
| Additional Information | nan |
| Number of Indicators | 4 |
| Insights from the dataset | 1. The data on Direct Benefit Transfer (DBT) scheme district-wise reveals the distribution of financial transactions and total funds transferred, enabling an assessment of the scheme's impact on each district in Meghalaya. This analysis can help in understanding the varying levels of benefit distribution and identifying areas for targeted policy interventions.2. By examining the DBT data over multiple financial years, starting from 2019, it is possible to discern trends in the implementation of the scheme across different districts in Meghalaya. This information can be instrumental in evaluating the effectiveness of policy measures and identifying regions that may require additional support or resources.3. The district-wise breakdown of DBT transactions and fund transfers provides quantitative evidence to measure the implications of the policy at the local level, facilitating the monitoring of benefits received by citizens in Meghalaya. This allows for a comprehensive assessment of the scheme's impact on a district and state-wise basis. |
| IDP Ready | Yes |