Dicionário de Dados

ID
id
Tipo
int4
Rótulo
index

ID
year
Tipo
text
Rótulo
Year

ID
season
Tipo
text
Rótulo
Season

ID
scheme
Tipo
text
Rótulo
Scheme name

ID
state_name
Tipo
text
Rótulo
State

ID
state_code
Tipo
text
Rótulo
State Code

ID
district_name
Tipo
text
Rótulo
District Name

ID
district_code
Tipo
text
Rótulo
District Code

ID
farmer_count
Tipo
numeric
Rótulo
Percentage of the number of farmers

ID
loanee
Tipo
numeric
Rótulo
Number of applications by lonees

ID
non_loanee
Tipo
numeric
Rótulo
Number of applications by non-lonees

ID
area_insured
Tipo
numeric
Rótulo
Area covered by them

ID
sum_insured
Tipo
numeric
Rótulo
Sum insured by them

ID
farmer_share
Tipo
numeric
Rótulo
Number of shares hold by farmer

ID
goi_share
Tipo
numeric
Rótulo
Number of goi shares

ID
state_share
Tipo
numeric
Rótulo
Number of state shares

ID
male
Tipo
numeric
Rótulo
Percentage of males

ID
female
Tipo
numeric
Rótulo
Percentage of females

ID
transgender
Tipo
numeric
Rótulo
Percentage of transgender

ID
sc
Tipo
numeric
Rótulo
Percentage of SC farmers

ID
st
Tipo
numeric
Rótulo
Percentage of ST farmers

ID
obc
Tipo
numeric
Rótulo
Percentage of OBC farmers

ID
gen
Tipo
numeric
Rótulo
Percentage of farmers that belong to general caste

ID
marginal
Tipo
numeric
Rótulo
Percentage of marginal farmers

ID
small
Tipo
numeric
Rótulo
Percentage of small farmers

ID
other
Tipo
numeric
Rótulo
Percentage of farmers that are neither small nor marginal

ID
iu_count
Tipo
numeric
Rótulo
Number of Insurance Units

ID
gross_premium
Tipo
numeric
Rótulo
Gross Premium

Informações Adicionais

Campo Valor
Dados atualizados pela última vez 30 de setembro de 2024
Metadados atualizados pela última vez 19 de dezembro de 2025
Criado 26 de setembro de 2024
Formato CSV
Licença Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://pmfby.gov.in/adminStatistics/dashboard
Data insightsWhat highlights could be made from the loan insured and sum insured? What percentage of gender availed more loans? Account for that as graph. What differences could be made for Kharif and Ravi in terms of share taken in various districts?
Data last updated05-04-2023 ( updated daily)
Data retreival date2023-03-29 00:00:00
Datastore activeTrue
FrequencySeasonally
Geo columns['state_code', 'district_code']
GranularityDistrict
Has viewsTrue
Idb867088e-2ceb-4274-a9ac-bcf3175e7e56
Idp readyFalse
MethodologyThe data is collected by the state governments and submitted to the Ministry of Agriculture and Farmers' Welfare for analysis and reporting.
Mimetypetext/csv
No indicators20
Package id7a1bc2c2-6702-43f6-94ac-5e3af6e63c79
Position1
Size1 MiB
Skumoafw-pmfby-dt-sn-syx
Stateactive
States uts no26
Tags['Rural', 'Crops', 'Insurance', 'Scheme', 'Farmers', 'District']
Url typeupload
Years covered2018-2022
Methodology The data is collected by the state governments and submitted to the Ministry of Agriculture and Farmers' Welfare for analysis and reporting.
Indicators
Similar Resources
Granularity Level District
Data Extraction Page https://pmfby.gov.in/adminStatistics/dashboard
Data Retreival Date 2023-03-29 00:00:00
Data Last Updated 05-04-2023 ( updated daily)
Sku moafw-pmfby-dt-sn-syx
Dataset Frequency Seasonally
Years Covered 2018-2022
No of States/UT(s) 26
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Informações Adicionais nan
Number of Indicators 20
Insights from the dataset What highlights could be made from the loan insured and sum insured? What percentage of gender availed more loans? Account for that as graph. What differences could be made for Kharif and Ravi in terms of share taken in various districts?
IDP Ready No
LGD Mapping
Mapping Status %
Geo Columns ['state_code', 'district_code']