100+ datasets found
  1. SNL Global Banking Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Aug 7, 2021
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    S&P Global (2021). SNL Global Banking Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/snl-global-banking-(227)
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    Dataset updated
    Aug 7, 2021
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

    The SNL Global Banking data delivers harmonized line items and key ratios for banks across the globe.

  2. Big Data Analytics in Banking Market - Size, Share & Forecast

    • mordorintelligence.com
    pdf,excel,csv,ppt
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    Mordor Intelligence, Big Data Analytics in Banking Market - Size, Share & Forecast [Dataset]. https://www.mordorintelligence.com/industry-reports/big-data-in-banking-industry
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    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    The Big Data Analytics in Banking Market is Segmented by Type of Solutions (Data Discovery and Visualization (DDV) and Advanced Analytics (AA)), and Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD Million) for all the Above Segments.

  3. S

    Replication Data for Exploring Modern Bank Penetration: Evidence from the...

    • sodha.be
    • datacatalogue.cessda.eu
    • +1more
    bin, csv, txt +1
    Updated Dec 13, 2023
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    Oscar Gelderblom; Oscar Gelderblom; Joost Jonker; Ruben Peeters; Ruben Peeters; Amaury de Vicq; Amaury de Vicq; Joost Jonker (2023). Replication Data for Exploring Modern Bank Penetration: Evidence from the Early 20th-Century Netherlands [Dataset]. http://doi.org/10.34934/DVN/LXQRRX
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    type/x-r-syntax(5631), txt(9144), type/x-r-syntax(12746), type/x-r-syntax(2023), type/x-r-syntax(13752), type/x-r-syntax(9313), type/x-r-syntax(9921), type/x-r-syntax(21353), type/x-r-syntax(10972), csv(29566211), bin(0), type/x-r-syntax(1559), csv(40159776), type/x-r-syntax(5689), type/x-r-syntax(5025), type/x-r-syntax(9600), type/x-r-syntax(8266), type/x-r-syntax(29417)Available download formats
    Dataset updated
    Dec 13, 2023
    Dataset provided by
    Social Sciences and Digital Humanities Archive – SODHA
    Authors
    Oscar Gelderblom; Oscar Gelderblom; Joost Jonker; Ruben Peeters; Ruben Peeters; Amaury de Vicq; Amaury de Vicq; Joost Jonker
    License

    https://www.sodha.be/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.34934/DVN/LXQRRXhttps://www.sodha.be/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.34934/DVN/LXQRRX

    Area covered
    Netherlands
    Description

    The files (R and CSV) contain the replication data for our analysis of a set of 2,355 death duty forms from the Netherlands in 1921, presented in our article “Exploring Modern Bank Penetration in the Netherlands in the 20th Century,” published in Economic History Review. A detailed description of this dataset is available in Ruben Peeters and Amaury de Vicq. “Inheritance Taxation Records in the Netherlands in 1921: The Memories Database” (forthcoming in 2023). The database itself is currently stored on the servers of University of Antwerp as part of the datafiles of the Social History of Finance Reserach Group. The paper also uses two other datasets, Tafel Vbis and the Dutch Banking Database (1880-1940). The Tafel Vbis dataset is described in a published paper by Ruben Peeters and Amaury de Vicq: de Vicq, A., & Peeters, R. (2020). “Introduction to the ‘Tafel v-bis’ Dataset: Death Duty Summary Information for The Netherlands, 1921,” Research Data Journal for the Humanities and Social Sciences, 5(1), 1-19. doi: https://doi.org/10.1163/24523666-bja10007. The Tafel Vbis datafiles are currently stored on the servers of University of Antwerp as part of the datafiles of the Social History of Finance Reserach Group, Odysseus Group. The Dutch Banking Database is described and published by DANS, and should be cited as follows: Vicq, A. de; Gelderblom, Prof. dr. O.; Jonker, Prof. dr. J. (2021): Dutch Banking Database, 1880-1940. DANS. https://doi.org/10.17026/dans-xre-kfdf

  4. Banking Compliance Data

    • caliper.com
    Updated Sep 19, 2023
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    Caliper Corporation (2023). Banking Compliance Data [Dataset]. https://www.caliper.com/mapping-software-data/banking-data.html
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    Dataset updated
    Sep 19, 2023
    Dataset authored and provided by
    Caliper Corporationhttp://www.caliper.com/
    License

    https://www.caliper.com/license/maptitude-license-agreement.htmhttps://www.caliper.com/license/maptitude-license-agreement.htm

    Area covered
    United States
    Description

    FREE layers of banking compliance data for the United States are now available for users of the current version of Maptitude. Three separate geographic files and one table are included in this download..

  5. d

    Bank Locations

    • catalog.data.gov
    • opendata.dc.gov
    • +5more
    Updated Feb 4, 2025
    + more versions
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    City of Washington, DC (2025). Bank Locations [Dataset]. https://catalog.data.gov/dataset/bank-locations
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    City of Washington, DC
    Description

    The Banking Bureau of the Department of Insurance Securities and Banking (DISB) regulates District of Columbia Chartered Banks, mortgage companies, and consumer finance companies. The Bureau strives to ensure a sound and thriving financial services community that provides the products, credit, and capital vital to the needs of District of Columbia residents and businesses. DISB charters and regulates District of Columbia banks and other DC depository financial institutions. DISB also regulates non-depository financial institutions such as mortgage lenders and brokers, money transmitters, consumer finance companies, and check cashers. The data is updated as needed.

  6. M

    Mexico BoP: FA: Other: NL: Other: Development Banking (DB)

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Mexico BoP: FA: Other: NL: Other: Development Banking (DB) [Dataset]. https://www.ceicdata.com/en/mexico/balance-of-payments-bpm6/bop-fa-other-nl-other-development-banking-db
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2016 - Dec 1, 2018
    Area covered
    Mexico
    Description

    Mexico BoP: FA: Other: NL: Other: Development Banking (DB) data was reported at 1.083 USD bn in Dec 2018. This records an increase from the previous number of -56.700 USD mn for Sep 2018. Mexico BoP: FA: Other: NL: Other: Development Banking (DB) data is updated quarterly, averaging -104.900 USD mn from Mar 2006 (Median) to Dec 2018, with 52 observations. The data reached an all-time high of 1.184 USD bn in Dec 2010 and a record low of -4.644 USD bn in Dec 2006. Mexico BoP: FA: Other: NL: Other: Development Banking (DB) data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.JB001: Balance of Payments: BPM6.

  7. I

    Iran Banking System: Assets

    • ceicdata.com
    Updated Mar 15, 2024
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    Iran Banking System: Assets [Dataset]. https://www.ceicdata.com/en/iran/balance-sheet-banking-system/banking-system-assets
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    Dataset updated
    Mar 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2012 - Mar 1, 2023
    Area covered
    Iran
    Variables measured
    Balance Sheets
    Description

    Iran Banking System: Assets data was reported at 26,028,900.000 IRR bn in 2023. This records a decrease from the previous number of 110,372,400.000 IRR bn for 2022. Iran Banking System: Assets data is updated yearly, averaging 6,092,926.400 IRR bn from Mar 1997 (Median) to 2023, with 27 observations. The data reached an all-time high of 110,372,400.000 IRR bn in 2022 and a record low of 302,533.600 IRR bn in 1997. Iran Banking System: Assets data remains active status in CEIC and is reported by Central Bank of the Islamic Republic of Iran. The data is categorized under Global Database’s Iran – Table IR.KB010: Balance Sheet: Banking System. Banking system assets exclude commercial banks' branches abroad and includes private banks.

  8. Penetration rate of online banking in Japan 2014-2029

    • statista.com
    Updated Aug 20, 2024
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    Penetration rate of online banking in Japan 2014-2029 [Dataset]. https://www.statista.com/topics/7841/online-banking-in-japan/
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    Dataset updated
    Aug 20, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Japan
    Description

    The online banking penetration rate in Japan was forecast to continuously increase between 2024 and 2029 by in total 10.7 percentage points. After the fifteenth consecutive increasing year, the online banking penetration is estimated to reach 58.96 percent and therefore a new peak in 2029. Notably, the online banking penetration rate of was continuously increasing over the past years.Shown is the estimated percentage of the total population in a given region or country, which makes use of online banking.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the online banking penetration rate in countries like South Korea and China.

  9. H

    Replication data for: The Ghosts of Banking Past: Empirical Analysis of...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated May 20, 2014
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    Tyler Moore; Richard Clayton (2014). Replication data for: The Ghosts of Banking Past: Empirical Analysis of Closed Bank Websites [Dataset]. http://doi.org/10.7910/DVN/26011
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 20, 2014
    Dataset provided by
    Harvard Dataverse
    Authors
    Tyler Moore; Richard Clayton
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    We study what happens to the domains used by US banks for their customer-facing websites when the bank is shut down or merges with another institution. The Federal Deposit Insurance Corporation (FDIC) publishes detailed statistical data about the many thousands of US banks, including their website URLs. We extracted details of the 3,181 banks that have closed their doors since 2003 and determined the fate of 2,302 domain names they are known to have used. We found that 47% are still owned by a banking institution but that 33% have passed into the hands of people who are exploiting the residual good reputation attached to the domain by hosting adverts, distributing malware or carrying out search engine optimization (SEO) activities. We map out the lifecycle of domain usage after the original institution no longer requires it as their main customer contact point -- and explain our findings from an economic perspective. We present logistic regressions that help explain some of reasons why closed bank domains are let go, as well as why others choose to repurpose them. For instance, we find that smaller and troubled banks are more likely to lose control of their domains, and that the domains from bigger banks are more likely to be repurposed by others. We draw attention to other classes of domain that are best kept off the open market lest old botnets be revivified or other forms of criminality be resurrected. We end by exploring what the public policy options might be that would protect us all from ghost domains that are no longer being looked after by their original registrants.

  10. B

    Brazil Banking: Consolidated III: Credit Unions: Liabilities: Equity

    • ceicdata.com
    + more versions
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    CEICdata.com, Brazil Banking: Consolidated III: Credit Unions: Liabilities: Equity [Dataset]. https://www.ceicdata.com/en/brazil/financial-institutions-assets-and-liabilities-banking-consolidated-iii/banking-consolidated-iii-credit-unions-liabilities-equity
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2016 - Mar 1, 2019
    Area covered
    Brazil
    Description

    Brazil Banking: Consolidated III: Credit Unions: Liabilities: Equity data was reported at 45,974,323.000 BRL th in Mar 2019. This records an increase from the previous number of 44,365,454.000 BRL th for Dec 2018. Brazil Banking: Consolidated III: Credit Unions: Liabilities: Equity data is updated quarterly, averaging 9,981,258.000 BRL th from Mar 2000 (Median) to Mar 2019, with 77 observations. The data reached an all-time high of 45,974,323.000 BRL th in Mar 2019 and a record low of 1,309,108.000 BRL th in Mar 2000. Brazil Banking: Consolidated III: Credit Unions: Liabilities: Equity data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Banking Sector – Table BR.KBB004: Financial Institutions: Assets and Liabilities: Banking: Consolidated III.

  11. F

    Reserves of Depository Institutions: Total

    • fred.stlouisfed.org
    json
    Updated Mar 25, 2025
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    (2025). Reserves of Depository Institutions: Total [Dataset]. https://fred.stlouisfed.org/series/TOTRESNS
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    jsonAvailable download formats
    Dataset updated
    Mar 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Reserves of Depository Institutions: Total (TOTRESNS) from Jan 1959 to Feb 2025 about adjusted, reserves, and USA.

  12. B

    Brazil Banking: Consolidated III: Credit Unions: NII: Interest Expenses

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). Brazil Banking: Consolidated III: Credit Unions: NII: Interest Expenses [Dataset]. https://www.ceicdata.com/en/brazil/financial-institutions-income-statement-banking-consolidated-iii/banking-consolidated-iii-credit-unions-nii-interest-expenses
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2016 - Mar 1, 2019
    Area covered
    Brazil
    Description

    Brazil Banking: Consolidated III: Credit Unions: NII: Interest Expenses data was reported at -3,005,895.000 BRL th in Mar 2019. This records an increase from the previous number of -5,897,059.000 BRL th for Dec 2018. Brazil Banking: Consolidated III: Credit Unions: NII: Interest Expenses data is updated quarterly, averaging -956,155.000 BRL th from Mar 2000 (Median) to Mar 2019, with 77 observations. The data reached an all-time high of -109,463.000 BRL th in Mar 2001 and a record low of -7,427,395.000 BRL th in Dec 2016. Brazil Banking: Consolidated III: Credit Unions: NII: Interest Expenses data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Banking Sector – Table BR.KBB011: Financial Institutions: Income Statement: Banking: Consolidated III.

  13. J

    Jordan Banking System: Foreign Assets: Net

    • ceicdata.com
    Updated May 29, 2018
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    CEICdata.com (2018). Jordan Banking System: Foreign Assets: Net [Dataset]. https://www.ceicdata.com/en/jordan/monetary-survey-banking-system/banking-system-foreign-assets-net
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    Dataset updated
    May 29, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    Jordan
    Variables measured
    Monetary Survey
    Description

    Jordan Banking System: Foreign Assets: Net data was reported at 6,901.800 JOD mn in Oct 2018. This records a decrease from the previous number of 7,333.700 JOD mn for Sep 2018. Jordan Banking System: Foreign Assets: Net data is updated monthly, averaging 7,331.450 JOD mn from Jan 2000 (Median) to Oct 2018, with 226 observations. The data reached an all-time high of 10,450.500 JOD mn in Aug 2011 and a record low of 3,344.300 JOD mn in Jan 2000. Jordan Banking System: Foreign Assets: Net data remains active status in CEIC and is reported by Central Bank of Jordan. The data is categorized under Global Database’s Jordan – Table JO.KA007: Monetary Survey: Banking System.

  14. B

    Brazil Banking: Consolidated I: NII: Interest Expenses

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Banking: Consolidated I: NII: Interest Expenses [Dataset]. https://www.ceicdata.com/en/brazil/financial-institutions-income-statement-banking-consolidated-i/banking-consolidated-i-nii-interest-expenses
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2016 - Mar 1, 2019
    Area covered
    Brazil
    Description

    Brazil Banking: Consolidated I: NII: Interest Expenses data was reported at -114,387,464.000 BRL th in Mar 2019. This records an increase from the previous number of -223,488,038.000 BRL th for Dec 2018. Brazil Banking: Consolidated I: NII: Interest Expenses data is updated quarterly, averaging -89,824,898.000 BRL th from Mar 2000 (Median) to Mar 2019, with 77 observations. The data reached an all-time high of -18,585,975.000 BRL th in Mar 2000 and a record low of -440,398,981.000 BRL th in Dec 2015. Brazil Banking: Consolidated I: NII: Interest Expenses data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Banking Sector – Table BR.KBB009: Financial Institutions: Income Statement: Banking: Consolidated I.

  15. R

    Russia Banking System Survey: Broad Money Liabilities: OD: Other Financial...

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Russia Banking System Survey: Broad Money Liabilities: OD: Other Financial Institutions [Dataset]. https://www.ceicdata.com/en/russia/banking-system-survey/banking-system-survey-broad-money-liabilities-od-other-financial-institutions
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2018 - Dec 1, 2018
    Area covered
    Russia
    Variables measured
    Monetary Survey
    Description

    Russia Banking System Survey: Broad Money Liabilities: OD: Other Financial Institutions data was reported at 1,308,235.000 RUB mn in Dec 2018. This records a decrease from the previous number of 1,408,422.000 RUB mn for Nov 2018. Russia Banking System Survey: Broad Money Liabilities: OD: Other Financial Institutions data is updated monthly, averaging 1,349,670.000 RUB mn from Dec 2014 (Median) to Dec 2018, with 49 observations. The data reached an all-time high of 1,586,700.000 RUB mn in May 2015 and a record low of 1,188,686.000 RUB mn in Nov 2017. Russia Banking System Survey: Broad Money Liabilities: OD: Other Financial Institutions data remains active status in CEIC and is reported by The Central Bank of the Russian Federation. The data is categorized under Global Database’s Russian Federation – Table RU.KAA009: Banking System Survey.

  16. B

    Brazil Banking: Consolidated IV: Assets: Leases

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). Brazil Banking: Consolidated IV: Assets: Leases [Dataset]. https://www.ceicdata.com/en/brazil/financial-institutions-assets-and-liabilities-banking-consolidated-iv/banking-consolidated-iv-assets-leases
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2016 - Mar 1, 2019
    Area covered
    Brazil
    Description

    Brazil Banking: Consolidated IV: Assets: Leases data was reported at 0.000 BRL th in Mar 2019. This stayed constant from the previous number of 0.000 BRL th for Dec 2018. Brazil Banking: Consolidated IV: Assets: Leases data is updated quarterly, averaging 0.000 BRL th from Mar 2000 (Median) to Mar 2019, with 77 observations. The data reached an all-time high of 2,215.000 BRL th in Mar 2009 and a record low of 0.000 BRL th in Mar 2019. Brazil Banking: Consolidated IV: Assets: Leases data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Banking Sector – Table BR.KBB005: Financial Institutions: Assets and Liabilities: Banking: Consolidated IV.

  17. U

    Ukraine Banking Deposits: Residents: Demand

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Ukraine Banking Deposits: Residents: Demand [Dataset]. https://www.ceicdata.com/en/ukraine/banking-deposits-by-residents/banking-deposits-residents-demand
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Ukraine
    Variables measured
    Deposits
    Description

    Ukraine Banking Deposits: Residents: Demand data was reported at 451,846.699 UAH mn in Sep 2018. This records an increase from the previous number of 441,005.621 UAH mn for Aug 2018. Ukraine Banking Deposits: Residents: Demand data is updated monthly, averaging 176,138.068 UAH mn from Dec 2005 (Median) to Sep 2018, with 154 observations. The data reached an all-time high of 451,846.699 UAH mn in Sep 2018 and a record low of 48,769.655 UAH mn in Jan 2006. Ukraine Banking Deposits: Residents: Demand data remains active status in CEIC and is reported by National Bank of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.KB001: Banking Deposits: by Residents.

  18. U

    United States BCS: Loans: Credit Standards & Terms: No Change: %

    • ceicdata.com
    Updated May 22, 2024
    + more versions
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    CEICdata.com (2024). United States BCS: Loans: Credit Standards & Terms: No Change: % [Dataset]. https://www.ceicdata.com/en/united-states/banking-conditions-survey/bcs-loans-credit-standards--terms-no-change-
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    Dataset updated
    May 22, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 1, 2023 - Feb 1, 2025
    Area covered
    United States
    Description

    United States BCS: Loans: Credit Standards & Terms: Number Change: % data was reported at 89.600 % in Feb 2025. This records an increase from the previous number of 87.500 % for Dec 2024. United States BCS: Loans: Credit Standards & Terms: Number Change: % data is updated monthly, averaging 84.400 % from Mar 2017 (Median) to Feb 2025, with 65 observations. The data reached an all-time high of 96.700 % in Nov 2021 and a record low of 52.500 % in May 2023. United States BCS: Loans: Credit Standards & Terms: Number Change: % data remains active status in CEIC and is reported by Federal Reserve Bank of Dallas. The data is categorized under Global Database’s United States – Table US.S058: Banking Conditions Survey.

  19. R

    Russia Banking System Survey: Domestic Claims: NC: CF: Others

    • ceicdata.com
    Updated Dec 15, 2017
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    CEICdata.com (2017). Russia Banking System Survey: Domestic Claims: NC: CF: Others [Dataset]. https://www.ceicdata.com/en/russia/banking-system-survey/banking-system-survey-domestic-claims-nc-cf-others
    Explore at:
    Dataset updated
    Dec 15, 2017
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Russia
    Variables measured
    Monetary Survey
    Description

    Russia Banking System Survey: Domestic Claims: NC: CF: Others data was reported at 0.000 RUB mn in Jan 2025. This stayed constant from the previous number of 0.000 RUB mn for Dec 2024. Russia Banking System Survey: Domestic Claims: NC: CF: Others data is updated monthly, averaging 0.000 RUB mn from Dec 2014 (Median) to Jan 2025, with 122 observations. The data reached an all-time high of 0.000 RUB mn in Jan 2025 and a record low of 0.000 RUB mn in Jan 2025. Russia Banking System Survey: Domestic Claims: NC: CF: Others data remains active status in CEIC and is reported by Bank of Russia. The data is categorized under Russia Premium Database’s Monetary and Banking Statistics – Table RU.KAA010: Banking System Survey.

  20. B

    Brazil Banking: Consolidated II: Prudential: Assets: Leases: Leased Fixed...

    • ceicdata.com
    Updated Dec 8, 2019
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    CEICdata.com (2019). Brazil Banking: Consolidated II: Prudential: Assets: Leases: Leased Fixed Assets [Dataset]. https://www.ceicdata.com/en/brazil/financial-institutions-assets-and-liabilities-banking-consolidated-ii
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    Dataset updated
    Dec 8, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2016 - Mar 1, 2019
    Area covered
    Brazil
    Description

    Banking: Consolidated II: Prudential: Assets: Leases: Leased Fixed Assets data was reported at 2,903,709.000 BRL th in Mar 2019. This records an increase from the previous number of 2,250,460.000 BRL th for Dec 2018. Banking: Consolidated II: Prudential: Assets: Leases: Leased Fixed Assets data is updated quarterly, averaging 2,664,295.000 BRL th from Mar 2014 (Median) to Mar 2019, with 21 observations. The data reached an all-time high of 4,932,550.000 BRL th in Mar 2014 and a record low of 1,896,891.000 BRL th in Sep 2016. Banking: Consolidated II: Prudential: Assets: Leases: Leased Fixed Assets data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Banking Sector – Table BR.KBC003: Financial Institutions: Assets and Liabilities: Banking: Consolidated II.

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S&P Global (2021). SNL Global Banking Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/snl-global-banking-(227)
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SNL Global Banking Dataset | S&P Global Marketplace

SPGlobal

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Dataset updated
Aug 7, 2021
Dataset authored and provided by
S&P Globalhttps://www.spglobal.com/
Description

The SNL Global Banking data delivers harmonized line items and key ratios for banks across the globe.

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