Data Dictionary

Column Type Label Description
id int4 index
year text Year
state_code text State Code
state_name text State Name
district_code text District Code
district_name text District Name
block_code text Block Code
block_name text Block Name
gp_code text Gram Panchayat Name
gp_name text Gram Panchayat Code
village_code text Village Code
village_name text Village Name
total_households numeric Total Households
avail_piped_tap_water text Availability of Piped Tap Water
hhs_piped_water_conn numeric Households with Piped Water Connection

Additional Information

Field Value
Data last updated December 2, 2024
Metadata last updated December 3, 2024
Created December 2, 2024
Format CSV
License No License Provided
Additional infonan
Data extraction pagehttps://missionantyodaya.nic.in/ma2020/preloginStateDrinkingWaterReports2020.html
Data insightsFrom the Mission Antyodaya Village Level Drinking water 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 no12
FrequencyYearly
Gp no3,010
GranularityVillage
Has viewsTrue
Id2ae5123e-2d73-43af-9887-ac9c102fb37d
Idp readyTrue
MethodologyThe data collection methodology for the Mission Antyodaya Village level drinking water 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 id6147fa80-5655-4800-aa38-b842cc79d69c
Position6
Size2.6 MiB
Skumord-mission_antyodaya_drinking_water-vl-yr-him
Stateactive
States uts no1
Tehsil no80
Url typeupload
Years covered2,020
Methodology The data collection methodology for the Mission Antyodaya Village level drinking water 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.
Similar Resources
Granularity Level Village
Data Extraction Page https://missionantyodaya.nic.in/ma2020/preloginStateDrinkingWaterReports2020.html
Data Retreival Date 09-09-2024
Data Last Updated 09-09-2024
Sku mord-mission_antyodaya_drinking_water-vl-yr-him
Dataset Frequency Yearly
Years Covered 2020.0
No of States/UT(s) 1
No of Districts 12
No of Tehsils/blocks 80
No of Gram Panchayats 3010
Additional Information nan
Number of Indicators 2
Insights from the dataset From the Mission Antyodaya Village Level Drinking water 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