Data Dictionary

ID
id
Type
int4
Label
index

ID
year
Type
text
Label
Year

ID
state_name
Type
text
Label
State

ID
state_code
Type
text
Label
State Code

ID
district_name
Type
text
Label
District

ID
district_code
Type
text
Label
District Code

ID
villages_surveyed
Type
numeric
Label
No. of Villages Where Survey completed

ID
tot_pop
Type
numeric
Label
Total Population

ID
pop_male
Type
numeric
Label
Male

ID
pop_female
Type
numeric
Label
Female

ID
tot_hh
Type
numeric
Label
Total Household

ID
bank
Type
numeric
Label
Availability of banks

ID
bank_dist_l1km
Type
numeric
Label
Bank < 1 km

ID
bank_dist_2km
Type
numeric
Label
Bank 1-2km

ID
bank_dist_5km
Type
numeric
Label
Bank 2-5km

ID
bank_dist_10km
Type
numeric
Label
Bank 5-10Km

ID
bank_dist_g10_km
Type
numeric
Label
Bank >10Km

ID
bc_w_internet
Type
numeric
Label
Availability of Business Correspondent with internet connectivity

ID
atm
Type
numeric
Label
Availability of ATM

ID
internet_bb
Type
numeric
Label
Availability of Internet/Broadband Facility

ID
all_weather_road
Type
numeric
Label
Whether the village is connected to All weather road

ID
cc_road_full
Type
numeric
Label
Fully covered Internal Pucca Roads

ID
cc_road_partial
Type
numeric
Label
Partially covered Internal Pucca Roads

ID
cc_road_not
Type
numeric
Label
Not covered Internal Pucca Roads

ID
pub_trans_bus
Type
numeric
Label
Availiability of Public Transport - Bus

ID
pub_trans_van
Type
numeric
Label
Availiability of Public Transport - Van

ID
pub_trans_auto
Type
numeric
Label
Availiability of Public Transport - Auto

ID
pub_trans_no
Type
numeric
Label
Public Transport not available

ID
railway
Type
numeric
Label
Availability of Railway Station

ID
csc_panchayat
Type
numeric
Label
Common Service Centre Co-located with Panchayat Bhawan

ID
csc_seperate
Type
numeric
Label
Common Service Centre Separately located

ID
csc_not
Type
numeric
Label
Common Service Centre Not available

ID
elec_domes_1hrs
Type
numeric
Label
Availability of electricity for domestic use, >1hrs

ID
elec_domes_4hrs
Type
numeric
Label
Availability of electricity for domestic use, 1-4 hrs

ID
elec_domes_8hrs
Type
numeric
Label
Availability of electricity for domestic use, 4-8 hrs

ID
elec_domes_12hrs
Type
numeric
Label
Availability of electricity for domestic use, 8-12 hrs

ID
elec_domes_no
Type
numeric
Label
No electricity for domestic use

ID
elec_msme
Type
numeric
Label
Availability of electricity Supply to MSME Units

ID
pds
Type
numeric
Label
Availability of Public Distribution System (PDS)

ID
mandi
Type
numeric
Label
Markets - Mandis

ID
reg_mkt
Type
numeric
Label
Markets - Regular market

ID
weekly_haat
Type
numeric
Label
Markets - Weekly Haat

ID
mkt_na
Type
numeric
Label
Markets - Not Available

ID
tap_100
Type
numeric
Label
Piped tap water, 100% habitations covered

ID
tap_50
Type
numeric
Label
Piped tap water, 50-100%habitations covered

ID
tap_l50
Type
numeric
Label
Piped tap water, < 50% habitation covered

ID
tap_one_hab
Type
numeric
Label
Piped tap water, only one habitation is covered

ID
tap_na
Type
numeric
Label
Piped tap water, not covered

ID
tel_ll
Type
numeric
Label
Availability of telephone services, Landline

ID
tel_mob
Type
numeric
Label
Availability of telephone services, Mobile

ID
tel_both
Type
numeric
Label
Availability of telephone services, Both Landline and Mobile

ID
tel_na
Type
numeric
Label
Telephone Services not available

ID
clean_energy_hhs
Type
numeric
Label
Total no of household using clean energy (LPG/Bio gas)

ID
solar_wind_elect
Type
numeric
Label
Use of Solar Energy/Wind Energy for electrification of the house

ID
kuccha_hhs
Type
numeric
Label
No of household with kuccha wall and kuccha roof

ID
po_sub_po
Type
numeric
Label
Availability of Post office/Sub-Post office

ID
panch_bhawan
Type
numeric
Label
Availability of Panchayat Bhawan

ID
pib_na
Type
numeric
Label
Public Information Board Not Available

ID
pib_av_upd
Type
numeric
Label
Public Information Board Available and updated

ID
pib_av_not_upd
Type
numeric
Label
Public Information Board Available but not updated

ID
prim_school
Type
numeric
Label
Primary School Availability

ID
middle_school
Type
numeric
Label
Middle School Availability

ID
high_school
Type
numeric
Label
High School Availability

ID
high_second_school
Type
numeric
Label
Higher/SeniorSecondarySchool Availability

ID
degree_clg
Type
numeric
Label
Degree College Availability

ID
school_college_na
Type
numeric
Label
School and Degree College not available

ID
public_library
Type
numeric
Label
Availability of Public Library

ID
indoor_sports
Type
numeric
Label
Indoor Recreational Centre / Sports Playground

ID
outdoor_sports
Type
numeric
Label
Outdoor Recreational Centre / Sports Playground

ID
both_sports
Type
numeric
Label
Both indoor and outdoor recreational centre / Sports Playground

ID
no_sports
Type
numeric
Label
No Sports Facility

ID
vocational
Type
numeric
Label
Availability of Vocational Educational centre/ITI/RSETI/DDU-GKY

ID
chc
Type
numeric
Label
CHC Availability

ID
phc
Type
numeric
Label
PHC Availability

ID
subcentre
Type
numeric
Label
Sub Centre Availability

ID
no_health
Type
numeric
Label
No health centre available

ID
subcentre_l1km
Type
numeric
Label
Availability of a subcentre with a distance < 1 km

ID
subcentre_2km
Type
numeric
Label
Availability of a subcentre with a distance 1-2km

ID
subcentre_5km
Type
numeric
Label
Availability of a subcentre with a distance 2-5km

ID
subcentre_10km
Type
numeric
Label
Availability of a subcentre with a distance 5-10Km

ID
subcentre_g10km
Type
numeric
Label
Availability of a subcentre with a distance >10Km

ID
veterinary
Type
numeric
Label
Availability of Veterinary Clinic Hospital

ID
veterinary_l1km
Type
numeric
Label
Availability of a subcentre with a distance < 1 km

ID
veterinary_2km
Type
numeric
Label
Availability of a subcentre with a distance 1-2km

ID
veterinary_5km
Type
numeric
Label
Availability of a subcentre with a distance 2-5km

ID
veterinary_10km
Type
numeric
Label
Availability of a subcentre with a distance 5-10Km

ID
veterinary_g10km
Type
numeric
Label
Availability of a subcentre with a distance >10Km

ID
closed_drain
Type
numeric
Label
Availability of Closed drainage

ID
pucca_slab_drain
Type
numeric
Label
Availability of open pucca drainage covered with tiles slab

ID
pucca_uncovered_drain
Type
numeric
Label
Availability of open pucca drainage uncovered

ID
kuchha_drain
Type
numeric
Label
Availability of open kuccha drainage

ID
no_drain
Type
numeric
Label
No drainage facility

ID
pcomm_pasture
Type
numeric
Label
Common pastures

Additional Information

Field Value
Data last updated September 30, 2024
Metadata last updated September 30, 2024
Created September 18, 2023
Format CSV
License Open Data Commons Attribution License
Additional infohttps://missiotyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html
Data extraction pagehttps://missionantyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html&#10;
Data insightsGovernment employees can use this dataset to identify the gaps in infrastructure in various states and plan for targeted interventions to improve the infrastructure status. Social scientists can use this dataset to analyze the relationship between infrastructure status and socio-economic indicators in different states. Policy think tanks can use this dataset to identify best practices in infrastructure development and inform policy decisions. Media houses and newsrooms can use this dataset to report on the infrastructure status of different states and highlight areas that need attention.
Data last updated2019-2020
Data retreival date2019-2020
Datastore activeTrue
District no706
FrequencyYearly
GranularityDistrict
Has viewsTrue
Ida413187a-63b1-4ad4-95e4-75fba209e4a7
Idp readyTrue
Lgd mappingyes
MethodologyThe State Infrastructure Index dataset is compiled by the Ministry of Rural Development, Government of India, based on data collected through the Mission Antyodaya Survey. The survey is conducted in rural areas of the country and collects data on a range of socio-economic indicators, including infrastructure status. The data is collected through a combination of household surveys and direct observations of infrastructure in the area. The data is then aggregated at the state level to create the State Infrastructure Index. The dataset is updated periodically to reflect changes in the infrastructure status of different states
Mimetypetext/csv
No indicators90
Package id827d5a47-647f-4c00-8b21-a17ea43ce450
Position1
Size375 KiB
Skumord-mission_antyodaya-dt-ot-yqu
Stateactive
States uts no32
Tags['State', 'District', 'Village', 'Bank', 'Railway Station', 'School', 'Hospital\n Road']
Url typeupload
Years covered2,019
Methodology The State Infrastructure Index dataset is compiled by the Ministry of Rural Development, Government of India, based on data collected through the Mission Antyodaya Survey. The survey is conducted in rural areas of the country and collects data on a range of socio-economic indicators, including infrastructure status. The data is collected through a combination of household surveys and direct observations of infrastructure in the area. The data is then aggregated at the state level to create the State Infrastructure Index. The dataset is updated periodically to reflect changes in the infrastructure status of different states
Indicators
Similar Resources
Granularity Level District
Data Extraction Page https://missionantyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html&#10;
Data Retreival Date 2019-2020
Data Last Updated 2019-2020
Sku mord-mission_antyodaya-dt-ot-yqu
Dataset Frequency Yearly
Years Covered 2019
No of States/UT(s) 32
No of Districts 706
No of Tehsils/blocks
No of Gram Panchayats
Additional Information https://missiotyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html
Number of Indicators 90
Insights from the dataset Government employees can use this dataset to identify the gaps in infrastructure in various states and plan for targeted interventions to improve the infrastructure status. Social scientists can use this dataset to analyze the relationship between infrastructure status and socio-economic indicators in different states. Policy think tanks can use this dataset to identify best practices in infrastructure development and inform policy decisions. Media houses and newsrooms can use this dataset to report on the infrastructure status of different states and highlight areas that need attention.
IDP Ready Yes
LGD Mapping Yes