100+ datasets found
  1. Primary bank by company / brand in the U.S. 2025

    • statista.com
    Updated Jul 25, 2025
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    Statista (2025). Primary bank by company / brand in the U.S. 2025 [Dataset]. https://www.statista.com/forecasts/997150/primary-bank-by-company-brand-in-the-us
    Explore at:
    Dataset updated
    Jul 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2024 - Jun 2025
    Area covered
    United States
    Description

    We asked U.S. consumers about "Primary bank by company / brand" and found that ***************** takes the top spot, while ****** is at the other end of the ranking.These results are based on a representative online survey conducted in 2025 among 13,690 consumers in the United States. Looking to gain valuable insights about banking customers across the globe? Check out our reports about consumers of banking brands worldwide. These reports offer the readers a comprehensive overview of banking customers: who they are; what they like; what they think; and how to reach them.

  2. Most important factors for bank customers worldwide 2025

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Most important factors for bank customers worldwide 2025 [Dataset]. https://www.statista.com/statistics/1096862/most-important-factors-for-a-bank-according-to-consumers-worldwide/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2024 - Dec 2024
    Area covered
    Worldwide
    Description

    According to a survey conducted by Statista among more than 50,000 bank customers across 34 markets worldwide, the most important factor when thinking about their bank was *****. Digital services ranked second, followed by customer service. More in-depth information can be found in the 2025 global bank customer satisfaction survey

  3. World Bank: Education Data

    • kaggle.com
    zip
    Updated Mar 20, 2019
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    World Bank (2019). World Bank: Education Data [Dataset]. https://www.kaggle.com/datasets/theworldbank/world-bank-intl-education
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Mar 20, 2019
    Dataset authored and provided by
    World Bankhttps://www.worldbank.org/
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The World Bank is an international financial institution that provides loans to countries of the world for capital projects. The World Bank's stated goal is the reduction of poverty. Source: https://en.wikipedia.org/wiki/World_Bank

    Content

    This dataset combines key education statistics from a variety of sources to provide a look at global literacy, spending, and access.

    For more information, see the World Bank website.

    Fork this kernel to get started with this dataset.

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:world_bank_health_population

    http://data.worldbank.org/data-catalog/ed-stats

    https://cloud.google.com/bigquery/public-data/world-bank-education

    Citation: The World Bank: Education Statistics

    Dataset Source: World Bank. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    Banner Photo by @till_indeman from Unplash.

    Inspiration

    Of total government spending, what percentage is spent on education?

  4. F

    Bank Credit, All Commercial Banks

    • fred.stlouisfed.org
    json
    Updated Jul 11, 2025
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    (2025). Bank Credit, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/BC0ACBQ158SBOG
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 11, 2025
    License

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

    Description

    Graph and download economic data for Bank Credit, All Commercial Banks (BC0ACBQ158SBOG) from Q2 1947 to Q2 2025 about credits, banks, depository institutions, rate, and USA.

  5. Largest bank failures in the U.S. 2001-2025

    • statista.com
    Updated May 15, 2025
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    Statista (2025). Largest bank failures in the U.S. 2001-2025 [Dataset]. https://www.statista.com/statistics/1318567/largest-bank-failures-us-by-assets/
    Explore at:
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The failures of Silicon Valley Bank (SVB) and Signature Bank in March 2023 were the ***** and ****** largest bank failures in the United States since 2001 in terms of total assets lost. The only larger bank failures were those of Washington Mutual Bank in 2008 and First Republic Bank in May 2023. The loss of assets upon the failure of Silicon Valley Bank and Signature Bank was close to the total amount of assets lost in 2008, when ** banks collapsed.

  6. D

    Bank Dedicated Check Machine Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Bank Dedicated Check Machine Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/bank-dedicated-check-machine-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 16, 2024
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Bank Dedicated Check Machine Market Outlook



    In 2023, the global market size for Bank Dedicated Check Machines was estimated at approximately $2.5 billion. The market is projected to expand at a compound annual growth rate (CAGR) of 5.6%, reaching a forecasted value of $4.1 billion by 2032. Key growth factors include advancements in banking technology, rising digital transaction volumes, and a consistent need for check processing in various financial institutions.



    One of the primary growth drivers of the Bank Dedicated Check Machine market is the continuous rise in digital and remote banking. As more customers shift towards online banking and mobile transactions, financial institutions are compelled to adopt advanced check processing technologies. These machines facilitate faster and more efficient check clearing, reducing manual errors and offering a seamless banking experience to customers. Additionally, the growing emphasis on enhancing customer service and operational efficiency further accelerates the adoption of these machines.



    Technological advancements in imaging and scanning technology also contribute significantly to market growth. Modern check scanners come equipped with high-resolution imaging capabilities, faster processing speeds, and enhanced security features. These advancements not only improve the accuracy and speed of check processing but also enable better fraud detection mechanisms. Financial institutions are increasingly investing in such technologies to stay competitive and meet regulatory requirements, thereby driving market expansion.



    Another factor fueling market growth is the increased regulatory pressure on financial institutions to adopt secure and efficient check processing systems. Regulatory bodies are implementing stringent guidelines to minimize fraudulent activities and ensure the integrity of financial transactions. Bank dedicated check machines with advanced security features and compliance capabilities are becoming essential tools for banks and financial institutions to adhere to these regulations, thus bolstering market demand.



    From a regional perspective, North America holds a significant share of the Bank Dedicated Check Machine market, driven by a well-established banking infrastructure and high adoption of advanced banking technologies. The Asia Pacific region is expected to witness the highest growth rate, supported by rapid digitalization, expanding banking sector, and increasing adoption of modern financial technologies in emerging economies like China and India.



    Product Type Analysis



    The Bank Dedicated Check Machine market is segmented into Single-Feed Check Scanners and Multi-Feed Check Scanners based on product type. Single-Feed Check Scanners are designed for low-volume check processing environments, typically used by small businesses and individual users. These scanners offer simplicity, ease of use, and cost-effectiveness, making them ideal for smaller-scale operations. The demand for single-feed scanners is driven by their affordability and suitability for low-volume check processing needs.



    Multi-Feed Check Scanners, on the other hand, are designed for high-volume check processing environments such as large banks, financial institutions, and corporations. These scanners can process multiple checks simultaneously, significantly enhancing operational efficiency and reducing processing time. The advanced features and higher processing capabilities of multi-feed scanners make them essential for institutions handling large volumes of checks. Consequently, the demand for multi-feed scanners is higher in large-scale banking operations.



    The choice between single-feed and multi-feed check scanners depends on the specific needs and scale of operations of the user. While single-feed scanners are preferred by smaller entities due to their cost-effectiveness and ease of use, multi-feed scanners are indispensable for larger institutions that require high-speed and high-volume check processing capabilities. Technological advancements in both types of scanners are further enhancing their functionalities, driving overall market growth.



    Moreover, the integration of advanced features such as automatic check alignment, high-resolution imaging, and fraud detection mechanisms in both single-feed and multi-feed check scanners is enhancing their utility and efficiency. These features not only improve the accuracy and speed of check processing but also ensure compliance with regulatory standards, making them highly valuable for financial institutions.<

  7. h

    entailment-bank-v3

    • huggingface.co
    Updated Dec 9, 2022
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    Arie Pratama Sutiono (2022). entailment-bank-v3 [Dataset]. https://huggingface.co/datasets/ariesutiono/entailment-bank-v3
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 9, 2022
    Authors
    Arie Pratama Sutiono
    License

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

    Description

    Entailment bank dataset

    This dataset raw source can be found at allenai's Github. If you use this dataset, it is best to cite the original paper @article{entalmentbank2021, title={Explaining Answers with Entailment Trees}, author={Dalvi, Bhavana and Jansen, Peter and Tafjord, Oyvind and Xie, Zhengnan and Smith, Hannah and Pipatanangkura, Leighanna and Clark, Peter}, journal={EMNLP}, year={2021} }

  8. I

    Indonesia Commercial Banks: KBMI 2: Capital Adequacy Ratio: Including...

    • ceicdata.com
    Updated May 25, 2018
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    CEICdata.com (2018). Indonesia Commercial Banks: KBMI 2: Capital Adequacy Ratio: Including Operational Risk [Dataset]. https://www.ceicdata.com/en/indonesia/bank-performance-commercial-bank
    Explore at:
    Dataset updated
    May 25, 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
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    Indonesia
    Variables measured
    Performance Indicators
    Description

    Commercial Banks: KBMI 2: Capital Adequacy Ratio: Including Operational Risk data was reported at 39.155 % in Feb 2025. This records a decrease from the previous number of 39.559 % for Jan 2025. Commercial Banks: KBMI 2: Capital Adequacy Ratio: Including Operational Risk data is updated monthly, averaging 37.120 % from Oct 2021 (Median) to Feb 2025, with 41 observations. The data reached an all-time high of 39.559 % in Jan 2025 and a record low of 25.635 % in Oct 2021. Commercial Banks: KBMI 2: Capital Adequacy Ratio: Including Operational Risk data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Indonesia Premium Database’s Banking Sector – Table ID.KBE013: Bank Performance: Commercial Bank.

  9. Leading online banks identified as main bank by companies in Japan 2021

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Leading online banks identified as main bank by companies in Japan 2021 [Dataset]. https://www.statista.com/statistics/1230678/japan-main-online-banks-of-companies/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Japan
    Description

    In October 2021, more than *** companies in Japan identified Rakuten Bank as their main online bank. The Japan Net Bank, which was renamed PayPay Bank in April 2021, ranked second, with close to *** businesses that perceived the bank as their main bank.

    Leading direct banks in Japan

    Direct banks offer online-only banking services without operating any physical branches. Rakuten Bank, which is part of the e-commerce group Rakuten Group, was one of the leading direct banks in Japan with more than ** million bank accounts in 2021, followed by PayPay Bank and SBI Sumishin Net Bank with five and four million bank accounts respectively. Partly due to a shift towards digital banking services following the outbreak of the coronavirus (COVID-19), direct banks like PayPay Bank recorded a steep increase in the number of bank accounts and transactions conducted by customers in fiscal year 2020.

    Customer demographics of direct banks

    According to a survey, the share of men who conduct financial transactions online was, on average, higher than that of women. This trend is also reflected in the customer demographics of direct banks. Looking at the customers of the three direct banks mentioned above, men accounted for ** to ** percent of customers in all cases. Broken down by age group, customers aged between 40 to 49 years made up the largest proportion of customers.

  10. F

    Overnight Bank Funding Volume

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
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    (2025). Overnight Bank Funding Volume [Dataset]. https://fred.stlouisfed.org/series/OBFRVOL
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 1, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Overnight Bank Funding Volume (OBFRVOL) from 2016-03-01 to 2025-07-31 about ibf, overnight, banks, depository institutions, and USA.

  11. I

    Indonesia Commercial Banks: KBMI 1: Core Capital Ratio to Risk Weighted...

    • ceicdata.com
    Updated May 25, 2018
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    CEICdata.com (2018). Indonesia Commercial Banks: KBMI 1: Core Capital Ratio to Risk Weighted Asset [Dataset]. https://www.ceicdata.com/en/indonesia/bank-performance-commercial-bank
    Explore at:
    Dataset updated
    May 25, 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
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    Indonesia
    Variables measured
    Performance Indicators
    Description

    Commercial Banks: KBMI 1: Core Capital Ratio to Risk Weighted Asset data was reported at 29.208 % in Feb 2025. This records a decrease from the previous number of 29.696 % for Jan 2025. Commercial Banks: KBMI 1: Core Capital Ratio to Risk Weighted Asset data is updated monthly, averaging 29.878 % from Oct 2021 (Median) to Feb 2025, with 41 observations. The data reached an all-time high of 33.733 % in Oct 2021 and a record low of 25.987 % in Jul 2022. Commercial Banks: KBMI 1: Core Capital Ratio to Risk Weighted Asset data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Indonesia Premium Database’s Banking Sector – Table ID.KBE013: Bank Performance: Commercial Bank.

  12. Bank Dataset

    • kaggle.com
    Updated Jan 31, 2018
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    loveleshchawla (2018). Bank Dataset [Dataset]. https://www.kaggle.com/datasets/lovelesh/bank-dataset/discussion?sort=undefined
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 31, 2018
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    loveleshchawla
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by loveleshchawla

    Released under CC0: Public Domain

    Contents

  13. Bank Dataset

    • kaggle.com
    Updated Mar 16, 2025
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    Vinethma Kodithuwakku (2025). Bank Dataset [Dataset]. https://www.kaggle.com/datasets/vinethmakodithuwakku/bank-dataset/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 16, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Vinethma Kodithuwakku
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset

    This dataset was created by Vinethma Kodithuwakku

    Released under Apache 2.0

    Contents

  14. Number of FDIC-insured commercial banks in the U.S. 2000-2024

    • statista.com
    • ai-chatbox.pro
    Updated Apr 3, 2025
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    Statista (2025). Number of FDIC-insured commercial banks in the U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/184536/number-of-fdic-insured-us-commercial-bank-institutions/
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of FDIC-insured commercial banks in the United States decreased steadily from 2000 to 2024. At the end of 2024, there were 3,928 FDIC-insured commercial banks in the country, down from 4,036 a year earlier. The FDIC, Federal Deposit Insurance Corporation, is an agency that insures the banking system in the U.S. Despite the dropping number of banks, the number of employees in the banking industry increased in the last two decades. Why do banks need insurance? The number of banks is shrinking, but the value of deposits in these banks is growing, amounting to trillions of U.S. dollars. The primary function of the FDIC is to insure these deposits up to 250,000 U.S. dollars. Under stable economic conditions, this task can be performed without particular difficulties. However, during economic uncertainties and recessions, it can be challenging. During the Global Financial Crisis, hundreds of FDIC-insured banks declared insolvency. Account holders were then eligible for compensation for the portion of their accounts that the FDIC insured. Financial figures of the FDIC-insured banks Except in times of deep recession, U.S. banks have a positive net operating income. It amounted to over 324 billion U.S. dollars in 2024. The value of funds borrowed by the U.S. FDIC-insured banks reached 1.4 trillion U.S. dollars that year.

  15. Z

    Aggregated US Bank Dataset

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jan 20, 2022
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    Aparna Gupta (2022). Aggregated US Bank Dataset [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_5879184
    Explore at:
    Dataset updated
    Jan 20, 2022
    Dataset provided by
    Mohammed J. Zaki
    Vipula D. Rawte
    Aparna Gupta
    Bolun "Namir" Xia
    License

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

    Description

    These two .csv files contain the US bank dataset for FETILDA, containing sections of 10-K reports submitted by US banks from 2006 to 2016. They are directly used by the Python scripts for training, validation, and testing. There are two files, one for Item 1A of the 10-K reports, and the other for Item 7/7A.

  16. bank-77

    • huggingface.co
    Updated May 28, 2025
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    Appier AI Research Team (2025). bank-77 [Dataset]. https://huggingface.co/datasets/appier-ai-research/bank-77
    Explore at:
    Dataset updated
    May 28, 2025
    Dataset provided by
    Appier Inc.https://www.appier.com/
    Authors
    Appier AI Research Team
    Description

    Know-No : Bank-77 Dataset

    Src: https://github.com/xhz0809/Know-No

  17. Largest banks in Latin America 2024, by market capitalization

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Largest banks in Latin America 2024, by market capitalization [Dataset]. https://www.statista.com/statistics/1373591/latin-america-leading-banks-by-market-cap/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 31, 2024
    Area covered
    Latin America, LAC
    Description

    Brazilian banks dominated the Latin American banking industry in terms of market capitalization in 2024. The five largest banks in the region were all Brazilian. Nu Holdings had the highest market capitalization with ***** billion U.S. dollars. The largest non-Brazilian bank in Latin America was Banco de Chile, with a market capitalization of ***** billion U.S. dollars.

  18. Bank account penetration in Romania 2017-2029

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Bank account penetration in Romania 2017-2029 [Dataset]. https://www.statista.com/statistics/1465036/romania-bank-account-penetration/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Romania
    Description

    The bank account penetration in Romania peaked in 2024 at **** percent, representing a ** percent increase since 2017. It is expected that the penetration rate will grow to **** percent by 2029.

  19. T

    Jordan - Bank Z-score

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 11, 2017
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    TRADING ECONOMICS (2017). Jordan - Bank Z-score [Dataset]. https://tradingeconomics.com/jordan/bank-z-score-wb-data.html
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 11, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    Jordan
    Description

    Bank Z-score in Jordan was reported at 50.11 Score in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Jordan - Bank Z-score - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

  20. T

    Japan - Bank Credit To Bank Deposits

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 1, 2017
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    TRADING ECONOMICS (2017). Japan - Bank Credit To Bank Deposits [Dataset]. https://tradingeconomics.com/japan/bank-credit-to-bank-deposits-percent-wb-data.html
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jul 1, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    Japan
    Description

    Bank credit to bank deposits (%) in Japan was reported at 45.93 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - Bank credit to bank deposits - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

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Close
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Statista (2025). Primary bank by company / brand in the U.S. 2025 [Dataset]. https://www.statista.com/forecasts/997150/primary-bank-by-company-brand-in-the-us
Organization logo

Primary bank by company / brand in the U.S. 2025

Explore at:
Dataset updated
Jul 25, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jul 2024 - Jun 2025
Area covered
United States
Description

We asked U.S. consumers about "Primary bank by company / brand" and found that ***************** takes the top spot, while ****** is at the other end of the ranking.These results are based on a representative online survey conducted in 2025 among 13,690 consumers in the United States. Looking to gain valuable insights about banking customers across the globe? Check out our reports about consumers of banking brands worldwide. These reports offer the readers a comprehensive overview of banking customers: who they are; what they like; what they think; and how to reach them.

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