SHG And Member Profile
This dataset provides comprehensive socio-economic insights, encompassing vital information from state-level data down to individual self-help groups. It offers a detailed view of demographics, Aadhar card adoption, banking accessibility, and more, facilitating a nuanced understanding of regional disparities and community challenges. Researchers and policymakers can leverage this data to inform targeted interventions, fostering inclusive development and informed decision-making.
Data Dictionary
- ID
- id
- Typ
- numeric
- Etikett
- index
- ID
- state_name
- Typ
- text
- Etikett
- Name of the state
- ID
- state_code
- Typ
- text
- Etikett
- State LGD Code
- ID
- district_name
- Typ
- text
- Etikett
- Name of the district
- ID
- district_code
- Typ
- text
- Etikett
- District LGD Code
- ID
- block_name
- Typ
- text
- Etikett
- Name of the block
- ID
- block_code
- Typ
- text
- Etikett
- Block LGD Code
- ID
- gp_name
- Typ
- text
- Etikett
- Name of the gram panchayat
- ID
- gp_code
- Typ
- text
- Etikett
- Gram Panchayat LGD Code
- ID
- village_name
- Typ
- text
- Etikett
- Name of the village
- ID
- village_code
- Typ
- text
- Etikett
- Village LGD Code
- ID
- shg_name
- Typ
- text
- Etikett
- Name of the self-help group
- ID
- shg_code
- Typ
- text
- Etikett
- Self-Help Group Code
- ID
- shg_type
- Typ
- text
- Etikett
- Type or category of the self-help group
- ID
- total_mem_details
- Typ
- numeric
- Etikett
- Total number of members in the self help group
- ID
- mem_with_aadhar
- Typ
- numeric
- Etikett
- Number of members with Aadhar cards
- ID
- mem_with_bankac
- Typ
- numeric
- Etikett
- Number of members with bank accounts
- ID
- mem_with_aadharseededac
- Typ
- numeric
- Etikett
- Number of members with Aadhar seeded bank accounts
- ID
- mem_with_secc_tin_no
- Typ
- numeric
- Etikett
- Number of members with SECC TIN numbers
- ID
- mem_without_aadhar
- Typ
- numeric
- Etikett
- Members without Aadhar cards
- ID
- mem_without_bankac
- Typ
- numeric
- Etikett
- Members without bank accounts
- ID
- mem_without_aadharseedac
- Typ
- numeric
- Etikett
- Members without Aadhar seeded bank accounts
Mer information
| Fält | Värde |
|---|---|
| Data senast uppdaterad | 10 oktober 2023 |
| Metadata senast uppdaterad | 19 december 2025 |
| Skapad | 10 oktober 2023 |
| Format | CSV |
| Licens | Open Data Commons Attribution License |
| Additional info | nan |
| Data extraction page | https://nrlm.gov.in/SHGandMemberProfileMonitoringAction.do?methodName=showViewNew |
| Data insights | The dataset reveals noteworthy disparities in Aadhar card adoption, banking accessibility, and demographic factors across regions. Varied percentages of members lacking Aadhar cards and bank accounts underscore socio-economic challenges. These insights offer a detailed picture of the community landscape, guiding targeted interventions and policy decisions aimed at bridging disparities and fostering equitable development. |
| Data last updated | 2 023 |
| Data retreival date | 2023-08-15 00:00:00 |
| Datastore active | True |
| District no | 739 |
| Frequency | Other |
| Geo columns | ['state_code', 'district_code', 'block_code', 'gp_code', 'village_code'] |
| Gp no | 212 305 |
| Granularity | SHG |
| Has views | True |
| Id | f2196535-38e3-462c-a4c1-2930eb76678f |
| Idp ready | True |
| Lgd mapping | yes |
| Methodology | The dataset was meticulously compiled through on-ground surveys and interviews conducted by trained enumerators. Standardized questionnaires were used, covering diverse topics like household demographics, financial inclusivity, and government program participation. Rigorous data validation and quality control measures were applied to ensure accuracy and consistency, resulting in a reliable and comprehensive dataset. |
| No indicators | 8 |
| Package id | 970f9b8f-65bd-4dad-849f-8b57b822c9dd |
| Position | 0 |
| Similar resources | feef1df7-59c6-43e3-b6ff-3594da5de862 |
| Size | 1,3 GiB |
| Sku | mord-nrlm_shg_profile-shg-ot-aaa |
| State | active |
| States uts no | 34 |
| Url type | upload |
| Years covered | 2016-2023 |
| Methodology | The dataset was meticulously compiled through on-ground surveys and interviews conducted by trained enumerators. Standardized questionnaires were used, covering diverse topics like household demographics, financial inclusivity, and government program participation. Rigorous data validation and quality control measures were applied to ensure accuracy and consistency, resulting in a reliable and comprehensive dataset. |
| Indicators | |
| Similar Resources | |
| Granularity Level | SHG |
| Data Extraction Page | https://nrlm.gov.in/SHGandMemberProfileMonitoringAction.do?methodName=showViewNew |
| Data Retreival Date | 2023-08-15 00:00:00 |
| Data Last Updated | 2023 |
| Sku | mord-nrlm_shg_profile-shg-ot-aaa |
| Dataset Frequency | Other |
| Years Covered | 2016-2023 |
| No of States/UT(s) | 34 |
| No of Districts | 739 |
| No of Tehsils/blocks | |
| No of Gram Panchayats | 212305 |
| Mer information | nan |
| Number of Indicators | 8 |
| Insights from the dataset | The dataset reveals noteworthy disparities in Aadhar card adoption, banking accessibility, and demographic factors across regions. Varied percentages of members lacking Aadhar cards and bank accounts underscore socio-economic challenges. These insights offer a detailed picture of the community landscape, guiding targeted interventions and policy decisions aimed at bridging disparities and fostering equitable development. |
| IDP Ready | Yes |
| LGD Mapping | Yes |
| Mapping Status % | |
| Geo Columns | ['state_code', 'district_code', 'block_code', 'gp_code', 'village_code'] |