Data Dictionary

Column Type Label Description
id int4 index
year text Year
season text Season
scheme text Scheme name
state_name text State
state_code text State Code
district_name text District Name
district_code text District Code
farmer_count numeric Percentage of the number of farmers
loanee numeric Number of applications by lonees
non_loanee numeric Number of applications by non-lonees
area_insured numeric Area covered by them
sum_insured numeric Sum insured by them
farmer_share numeric Number of shares hold by farmer
goi_share numeric Number of goi shares
state_share numeric Number of state shares
male numeric Percentage of males
female numeric Percentage of females
transgender numeric Percentage of transgender
sc numeric Percentage of SC farmers
st numeric Percentage of ST farmers
obc numeric Percentage of OBC farmers
gen numeric Percentage of farmers that belong to general caste
marginal numeric Percentage of marginal farmers
small numeric Percentage of small farmers
other numeric Percentage of farmers that are neither small nor marginal
iu_count numeric Number of Insurance Units
gross_premium numeric Gross Premium

Additional Information

Field Value
Data last updated June 24, 2024
Metadata last updated June 25, 2024
Created June 24, 2024
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://pmfby.gov.in/adminStatistics/dashboard
Data insightsPradhan Mantri Fasal Bima Yojana (PMFBY) across Himachal Pradesh districts provides crucial insights into crop insurance dynamics. It reveals the extent of coverage and compensation disbursed to farmers for losses caused by natural calamities, pests, and diseases. This data aids in evaluating the scheme's effectiveness in mitigating agricultural risks and supporting farmers' livelihoods. By analyzing claim settlements and coverage penetration across different districts, PMFBY data enables policymakers to fine-tune insurance strategies, enhance resilience in farming communities, and ensure sustainable agricultural development in Himachal Pradesh.
Data last updated05-04-2023 ( updated daily)
Data retreival date2023-03-29 00:00:00
Datastore activeTrue
District no12
FrequencySeasonally
GranularityDistrict
Has viewsTrue
Id67d98230-8998-4471-8699-62876581a3c2
Idp readyTrue
MethodologyThe data is collected by the state governments and submitted to the Ministry of Agriculture and Farmers' Welfare for analysis and reporting.
No indicators20
Package idae223241-1749-4c64-8aec-22771e2493fb
Position0
Size34.7 KiB
Skumoafw-pmfby-dt-sn-him
Stateactive
States uts no1
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.
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-him
Dataset Frequency Seasonally
Years Covered 2018-2022
No of States/UT(s) 1
No of Districts 12
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 20
Insights from the dataset Pradhan Mantri Fasal Bima Yojana (PMFBY) across Himachal Pradesh districts provides crucial insights into crop insurance dynamics. It reveals the extent of coverage and compensation disbursed to farmers for losses caused by natural calamities, pests, and diseases. This data aids in evaluating the scheme's effectiveness in mitigating agricultural risks and supporting farmers' livelihoods. By analyzing claim settlements and coverage penetration across different districts, PMFBY data enables policymakers to fine-tune insurance strategies, enhance resilience in farming communities, and ensure sustainable agricultural development in Himachal Pradesh.
IDP Ready Yes