Data Dictionary

Column Type Label Description
id int4 index
year text Year
state_name text State(s)
state_code text State Code
district_name text District(s)
district_code text District Code
region text Region
population_group text Population Group
no_of_offices numeric Number of SCB Offices
no_of_accounts numeric Number of Accounts with SCBs
deposit_amount numeric Amount deposited

Additional Information

Field Value
Data last updated June 5, 2024
Metadata last updated June 5, 2024
Created unknown
Format CSV
License No License Provided
Created5 months ago
FrequencyYearly
Size14,340
Additional infonan
Data extraction pagehttps://dbie.rbi.org.in/BOE/OpenDocument/1608101729/OpenDocument/opendoc/openDocument.faces?logonSuccessful=true&shareId=1
Data insightsInsights from the Reserve Bank of India dataset for Meghalaya highlight several key aspects. Firstly, understanding the distribution of deposits among different population groups helps identify areas that may require additional investment to enhance banking services accessibility. Secondly, analyzing the impact of government policies and economic trends on the banking sector provides valuable insights for decision-making. Lastly, identifying opportunities for banks to expand operations in underserved areas can contribute to more inclusive financial services and overall economic growth.
Data last updated2,022
Data retreival date2022-09-04 00:00:00
Datastore activeTrue
District no11
GranularityDistrict
Has viewsTrue
Id8556e4fd-467c-45e6-b674-d06e7e8204e7
Idp readyTrue
MethodologyThe District and Population Group-wise Deposits of Scheduled Commercial Banks dataset is sourced from the Reserve Bank of India (RBI) and is updated annually. The data is collected through the submission of monthly and quarterly returns by scheduled commercial banks to the RBI. The data is then aggregated at the district and population group level to produce the final dataset.
No indicators3
Package id91edc2db-6e83-4cb1-9d67-8b86d64e5ef4
Position1
Skurbi-groupwise_deposits_with_scbs-dt-yr-meg
Stateactive
States uts no1
Url typeupload
Years covered2019-2022
Methodology The District and Population Group-wise Deposits of Scheduled Commercial Banks dataset is sourced from the Reserve Bank of India (RBI) and is updated annually. The data is collected through the submission of monthly and quarterly returns by scheduled commercial banks to the RBI. The data is then aggregated at the district and population group level to produce the final dataset.
Similar Resources
Granularity Level District
Data Extraction Page https://dbie.rbi.org.in/BOE/OpenDocument/1608101729/OpenDocument/opendoc/openDocument.faces?logonSuccessful=true&shareId=1
Data Retreival Date 2022-09-04 00:00:00
Data Last Updated 2022
Sku rbi-groupwise_deposits_with_scbs-dt-yr-meg
Dataset Frequency
Years Covered 2019-2022
No of States/UT(s) 1
No of Districts 11
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 3
Insights from the dataset Insights from the Reserve Bank of India dataset for Meghalaya highlight several key aspects. Firstly, understanding the distribution of deposits among different population groups helps identify areas that may require additional investment to enhance banking services accessibility. Secondly, analyzing the impact of government policies and economic trends on the banking sector provides valuable insights for decision-making. Lastly, identifying opportunities for banks to expand operations in underserved areas can contribute to more inclusive financial services and overall economic growth.
IDP Ready Yes