Data Dictionary

Column Type Label Description
id int4 index
year text Year
region text Region
state_name text State Name
state_code text State Code
district_name text District Name
district_code text District Code
population_group text Population Group
bank_group text Bank Group
occupation_group text Occupation Group
occupation_sub_group text Occupation Sub Group
no_of_accounts numeric Number of Accounts
credit_limit numeric Credit Limit
amount_outstanding numeric Amount Outstanding

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 infoTo get to the exact table from the source link, Under the Time Series Tab -> "Time Series Detailed Data" -> "Bank Credit of SCBs - Bank Group, Population Group, Occupation (Sector), District Wise - Annual"
Data extraction pagehttps://dbie.rbi.org.in/DBIE/dbie.rbi?site=publications#!19
Data insightsThe dataset provides information on the credit extended by different bank groups in Himachal Pradesh, with nationalized banks having the highest share of credit, followed by SBI and its associates, private sector banks, and foreign banks.The majority of the credit is extended to the industry sector, followed by the services sector and agriculture sector. Personal loans and other priority sectors account for a smaller share of credit.The dataset shows that credit growth is higher in urban and metropolitan areas compared to rural and semi-urban areas in Himachal Pradesh.The district-wise data shows that the credit patterns vary across different regions, with some districts experiencing higher credit growth compared to others.
Data last updated2024-02-01 00:00:00
Data retreival date2023-09-15 00:00:00
Datastore activeTrue
District no12
FrequencyYearly
GranularityDistrict
Has viewsTrue
Id2bc8b625-3584-4410-a40d-1535817a5005
Idp readyTrue
MethodologyReserve Bank of India releases information about the number of accounts, credit limit and amount outstanding categorised as per population group, bank group and occupation under each district yearly.
No indicators3
Package idd237a02c-275d-49bd-aa8c-f998464b0936
Position1
Size3.1 MiB
Skurbi-groupwise_credit_by_scbs-dt-yr-him
Stateactive
States uts no1
Url typeupload
Years covered2010-2023
Methodology Reserve Bank of India releases information about the number of accounts, credit limit and amount outstanding categorised as per population group, bank group and occupation under each district yearly.
Similar Resources
Granularity Level District
Data Extraction Page https://dbie.rbi.org.in/DBIE/dbie.rbi?site=publications#!19
Data Retreival Date 2023-09-15 00:00:00
Data Last Updated 2024-02-01 00:00:00
Sku rbi-groupwise_credit_by_scbs-dt-yr-him
Dataset Frequency Yearly
Years Covered 2010-2023
No of States/UT(s) 1
No of Districts 12
No of Tehsils/blocks
No of Gram Panchayats
Additional Information To get to the exact table from the source link, Under the Time Series Tab -> "Time Series Detailed Data" -> "Bank Credit of SCBs - Bank Group, Population Group, Occupation (Sector), District Wise - Annual"
Number of Indicators 3
Insights from the dataset The dataset provides information on the credit extended by different bank groups in Himachal Pradesh, with nationalized banks having the highest share of credit, followed by SBI and its associates, private sector banks, and foreign banks.The majority of the credit is extended to the industry sector, followed by the services sector and agriculture sector. Personal loans and other priority sectors account for a smaller share of credit.The dataset shows that credit growth is higher in urban and metropolitan areas compared to rural and semi-urban areas in Himachal Pradesh.The district-wise data shows that the credit patterns vary across different regions, with some districts experiencing higher credit growth compared to others.
IDP Ready Yes