Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

National coverage

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for United Kingdom is 1000.

Mode of data collection

Landline and mobile telephone

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

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Insurance and financial services (% of commercial service imports) in Denmark was reported at 1.8787 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Denmark - Insurance and financial services (% of commercial service imports) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

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Graph and download economic data for U.S. Imports of Services: Financial Services (ITMFISM133S) from Jan 1999 to May 2025 about imports, financial, services, and USA.

The Banking and Financial Services collection of data includes locations and attributive information. Interest such as Commercial banks, Credit and Leasing companies.

Attributes:

Name, Address, Latitude, Longitude, Category, Type of BSFI

The Banking and Financial Services collection of data includes locations and attributive information. Interest such as Commercial banks, Credit and Leasing companies.

Attributes:

Name, Address, Latitude, Longitude, Category, Type of BSFI

Insurance and financial services (% of commercial service imports) in World was reported at 8.9221 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Insurance and financial services (% of commercial service imports) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Success.ai’s B2B Email Data for US Financial Services offers businesses comprehensive access to verified email addresses and contact details of key decision-makers across the financial services industry in the United States.

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   ...

Increase Information and Financial Services sales from $26.286 billion in 2013 to $29.585 billion by 2017.

Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

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Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

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Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

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Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

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Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

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Tailored Solutions for Industry Professionals:

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Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

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Brazil GOI: Financial Services data was reported at 35.000 NA in 2023. This records a decrease from the previous number of 39.000 NA for 2022. Brazil GOI: Financial Services data is updated yearly, averaging 37.000 NA from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 45.000 NA in 2021 and a record low of 9.000 NA in 2016. Brazil GOI: Financial Services data remains active status in CEIC and is reported by Milken Institute. The data is categorized under Global Database’s Brazil – Table BR.Milken: Global Opportunity Index.

Logo for the City of Austin's Financial Services Department.

Mexico Market Capitalization: Financial Services data was reported at 965,649.873 MXN mn in Feb 2019. This records a decrease from the previous number of 974,299.973 MXN mn for Jan 2019. Mexico Market Capitalization: Financial Services data is updated monthly, averaging 787,177.439 MXN mn from Mar 2009 (Median) to Feb 2019, with 120 observations. The data reached an all-time high of 1,106,822.942 MXN mn in Jul 2018 and a record low of 245,582.181 MXN mn in Mar 2009. Mexico Market Capitalization: Financial Services data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.Z002: Market Capitalization.

Insurance and financial services (% of commercial service exports) in United States was reported at 20.17 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Insurance and financial services (% of commercial service exports) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

In 2024, security and data privacy concerns emerged as the leading challenges for banks adopting artificial intelligence. Almost ** percent of respondents identified security and data privacy as the primary AI obstacle in their businesses. Closely following this concern, ** percent of survey participants highlighted the lack of AI skills or expertise among the workforce as another critical impediment to AI implementation, and ** percent cited the difficulty in measuring return on investment.

Japan GOI: Financial Services data was reported at 8.000 NA in 2019. This records an increase from the previous number of 4.000 NA for 2018. Japan GOI: Financial Services data is updated yearly, averaging 4.000 NA from Dec 2017 (Median) to 2019, with 3 observations. The data reached an all-time high of 8.000 NA in 2019 and a record low of 1.000 NA in 2017. Japan GOI: Financial Services data remains active status in CEIC and is reported by Milken Institute. The data is categorized under Global Database’s Japan – Table JP.Milken: Global Oportunity Index.

Insurance and financial services (% of commercial service imports) in Japan was reported at 12.36 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - Insurance and financial services (% of commercial service imports) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.