Data Dictionary

ID
id
Typ
int4
Etikett
index

ID
year
Typ
text
Etikett
Year

ID
state_code
Typ
text
Etikett
State Code

ID
state_name
Typ
text
Etikett
State Name

ID
district_code
Typ
text
Etikett
District Code

ID
district_name
Typ
text
Etikett
District Name

ID
block_code
Typ
text
Etikett
Block Code

ID
block_name
Typ
text
Etikett
Block Name

ID
gp_code
Typ
text
Etikett
Gram Panchayat Name

ID
gp_name
Typ
text
Etikett
Gram Panchayat Code

ID
village_code
Typ
text
Etikett
Village Code

ID
village_name
Typ
text
Etikett
Village Name

ID
total_households
Typ
numeric
Etikett
Total Households

ID
avail_piped_tap_water
Typ
text
Etikett
Availability of Piped Tap Water

ID
hhs_piped_water_conn
Typ
numeric
Etikett
Households with Piped Water Connection

Mer information

Fält Värde
Data senast uppdaterad 16 september 2024
Metadata senast uppdaterad 19 december 2025
Skapad 16 september 2024
Format CSV
Licens Open Data Commons Attribution License
Additional infonan
Data extraction pagenan
Data insightsFrom the Mission Antyodaya Village Basic Facilities dataset, insights can be gained into the distribution and accessibility of water resources across villages. This includes understanding the percentage of households with piped tap water connections and identifying areas with inadequate access. The data helps evaluate regional disparities in water infrastructure, assess the effectiveness of water supply programs, and guide targeted improvements. By analyzing this information, policymakers can prioritize regions needing infrastructure upgrades and ensure more equitable distribution of water resources.
Data last updated09-09-2024
Data retreival date09-09-2024
Datastore activeTrue
District no711
FrequencyYearly
Geo columns['state_code', 'district_code', 'block_code', 'gp_code', 'village_code']
Gp no7 106
GranularityVillage
Has viewsTrue
Id575df5a4-e1f6-449c-bdaa-1122b975ba32
Idp readyTrue
Lgd mappingyes
MethodologyThe 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 indicators2
Package id827d5a47-647f-4c00-8b21-a17ea43ce450
Position7
Size87,2 MiB
Skumord-mission_antyodaya_drinking_water-vl-yr-rrr
Stateactive
States uts no32
Tehsil no7 106
Url typeupload
Years covered2 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 09-09-2024
Data Last Updated 09-09-2024
Sku mord-mission_antyodaya_drinking_water-vl-yr-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 7106
Mer information nan
Number of Indicators 2
Insights from the dataset From the Mission Antyodaya Village Basic Facilities dataset, insights can be gained into the distribution and accessibility of water resources across villages. This includes understanding the percentage of households with piped tap water connections and identifying areas with inadequate access. The data helps evaluate regional disparities in water infrastructure, assess the effectiveness of water supply programs, and guide targeted improvements. By analyzing this information, policymakers can prioritize regions needing infrastructure upgrades and ensure more equitable distribution of water resources.
IDP Ready Yes
LGD Mapping Yes
Mapping Status %
Geo Columns ['state_code', 'district_code', 'block_code', 'gp_code', 'village_code']