Rural Housing Report
It focuses on assessing housing conditions in villages under the Mission Antyodaya initiative, aimed at uplifting the most underprivileged rural communities in India. It provides detailed insights into housing availability, quality, and infrastructure in rural areas, highlighting progress and challenges in achieving better living standards. The report plays a crucial role in guiding government policies for rural development and poverty alleviation, ensuring that essential housing needs are met for all.
Data Dictionary
- ID
- id
- Type
- int4
- Label
- index
- ID
- year
- Type
- text
- Label
- Year
- ID
- state_code
- Type
- text
- Label
- State Code
- ID
- state_name
- Type
- text
- Label
- State Name
- ID
- district_code
- Type
- text
- Label
- District Code
- ID
- district_name
- Type
- text
- Label
- District Name
- ID
- block_code
- Type
- text
- Label
- Block Code
- ID
- block_name
- Type
- text
- Label
- Block Name
- ID
- gp_code
- Type
- text
- Label
- GP Code
- ID
- gp_name
- Type
- text
- Label
- GP Name
- ID
- village_code
- Type
- text
- Label
- Village Code
- ID
- village_name
- Type
- text
- Label
- Village Name
- ID
- hh_kutcha_wall_roof
- Type
- numeric
- Label
- House Hold Kutcha Wall Roof
- ID
- perct_hh_kutcha_wall_roof
- Type
- numeric
- Label
- Percentage Household Kutcha Wall Roof
- ID
- pmay_house
- Type
- numeric
- Label
- PMAY House
- ID
- pmay_permanent_wait_list
- Type
- numeric
- Label
- PMAY Peramanent Wait List
- ID
- any_state_housing_scheme
- Type
- numeric
- Label
- Any State Housing Scheme
- ID
- any_state_housing_permanent_wait_list
- Type
- numeric
- Label
- Any State Housing Permanenet Wait List
Additional Information
| Field | Value |
|---|---|
| Data last updated | September 16, 2024 |
| Metadata last updated | September 16, 2024 |
| Created | September 16, 2024 |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Additional info | nan |
| Data extraction page | nan |
| Data insights | The dataset provides valuable insights into housing conditions and government support in rural villages over time. By analyzing columns like hh_kutcha_wall_roof and perct_hh_kutcha_wall_roof, one can assess the prevalence of households with substandard housing (kutcha walls and roofs) in different states, districts, and villages. It also offers data on the reach and effectiveness of housing schemes, such as PMAY (Pradhan Mantri Awas Yojana) and state housing programs, by tracking the number of households covered under these schemes, those on waiting lists, and beneficiaries of any state-specific housing assistance. This enables an understanding of housing gaps and the distribution of government intervention efforts in rural India. |
| Data last updated | 13-09-2024 |
| Data retreival date | 13-09-2024 |
| Datastore active | True |
| District no | 711 |
| Frequency | Yearly |
| Gp no | 253,688 |
| Granularity | Village |
| Has views | True |
| Id | 893579c3-1ad4-4878-8b85-d5c5e6e972da |
| Idp ready | True |
| Lgd mapping | yes |
| Methodology | The data collection methodology for the Mission Antyodaya Village Basic Facilities dataset involves field surveys where enumerators gather information directly from villages using standardized questionnaires. This is supplemented by data from local government records and administrative reports. Collected data undergoes verification and validation processes to ensure accuracy and reliability. Information is then aggregated at higher administrative levels, creating a comprehensive dataset. Periodic updates are made to keep the data current and reflective of ongoing changes and improvements in village infrastructure and services. |
| No indicators | 6 |
| Package id | 827d5a47-647f-4c00-8b21-a17ea43ce450 |
| Position | 8 |
| Size | 83.5 MiB |
| Sku | mord-mission_antyodaya_rural_housing-vl-gp-rrr |
| State | active |
| States uts no | 32 |
| Tehsil no | 7,106 |
| Url type | upload |
| Years covered | 2,020 |
| Methodology | The data collection methodology for the Mission Antyodaya Village Basic Facilities dataset involves field surveys where enumerators gather information directly from villages using standardized questionnaires. This is supplemented by data from local government records and administrative reports. Collected data undergoes verification and validation processes to ensure accuracy and reliability. Information is then aggregated at higher administrative levels, creating a comprehensive dataset. Periodic updates are made to keep the data current and reflective of ongoing changes and improvements in village infrastructure and services. |
| Indicators | [] |
| Similar Resources | |
| Granularity Level | Village |
| Data Extraction Page | nan |
| Data Retreival Date | 13-09-2024 |
| Data Last Updated | 13-09-2024 |
| Sku | mord-mission_antyodaya_rural_housing-vl-gp-rrr |
| Dataset Frequency | Yearly |
| Years Covered | 2020.0 |
| No of States/UT(s) | 32 |
| No of Districts | 711 |
| No of Tehsils/blocks | 7106 |
| No of Gram Panchayats | 253688 |
| Additional Information | nan |
| Number of Indicators | 6 |
| Insights from the dataset | The dataset provides valuable insights into housing conditions and government support in rural villages over time. By analyzing columns like hh_kutcha_wall_roof and perct_hh_kutcha_wall_roof, one can assess the prevalence of households with substandard housing (kutcha walls and roofs) in different states, districts, and villages. It also offers data on the reach and effectiveness of housing schemes, such as PMAY (Pradhan Mantri Awas Yojana) and state housing programs, by tracking the number of households covered under these schemes, those on waiting lists, and beneficiaries of any state-specific housing assistance. This enables an understanding of housing gaps and the distribution of government intervention efforts in rural India. |
| IDP Ready | Yes |
| LGD Mapping | Yes |