Data Dictionary

Column Type Label Description
id int4 index
year text Year
state_name text State Name
state_code text State Code
district_name text District Name
district_code text District Code
bank_group text Bank Group
population_group text Population Group
number_of_deposits numeric Number of Deposits
deposits 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
Created4 months ago
FrequencyYearly
Size44,217
Additional infonan
Data extraction pagenan
Data insightsInsights from the Reserve Bank of India dataset for Meghalaya can shed light on the financial behaviors of diverse demographic groups and the performance of different banks across districts. Analysts can explore patterns of savings across demographic segments and identify banks that are garnering the highest deposits in various districts, providing valuable clues for understanding banking trends and customer preferences within the state.
Data last updated2,022
Data retreival date2022-09-04 00:00:00
Datastore activeTrue
GranularityDistrict
Has viewsTrue
Id20a20670-a62d-4c5a-b2a2-245c73b2ff1b
Idp readyTrue
MethodologyReserve Bank of India collected the data from SCBs and compiled it into a dataset.
No indicators2
Package id91edc2db-6e83-4cb1-9d67-8b86d64e5ef4
Position0
Skurbi-bankgroup_wise_deposit_statistics-dt-yr-meg
Stateactive
States uts no1
Url typeupload
Years covered2009-10 to 2017-18
Methodology Reserve Bank of India collected the data from SCBs and compiled it into a dataset.
Similar Resources
Granularity Level District
Data Extraction Page nan
Data Retreival Date 2022-09-04 00:00:00
Data Last Updated 2022
Sku rbi-bankgroup_wise_deposit_statistics-dt-yr-meg
Dataset Frequency
Years Covered 2009-10 to 2017-18
No of States/UT(s) 1
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 2
Insights from the dataset Insights from the Reserve Bank of India dataset for Meghalaya can shed light on the financial behaviors of diverse demographic groups and the performance of different banks across districts. Analysts can explore patterns of savings across demographic segments and identify banks that are garnering the highest deposits in various districts, providing valuable clues for understanding banking trends and customer preferences within the state.
IDP Ready Yes