The number of people employed in the private finance and insurance sector in the United Kingdom (UK) increased between 2015 and 2023, while employees of the public finance and insurance sector decreased over the same period. As of 2023, roughly 50,400 people were employed (including working proprietors) in the UK's public finance sector, and over one million were employed in the UK's private finance sector.

Nearly ***percent of Gen Z bank account holders indicated that they worried about their financial future in the United Kingdom (UK) in the second quarter of 2025, according to Statista Consumer Insights. A slightly higher share of respondents born between 1995 and 2012 indicated that they were well-informed about their financial situation. The share of respondents who expressed interest in new financial topics, such as crypto or NFTs, was relatively low at ** percent.

In June 2025, most consumer loans in the United Kingdom (UK) were granted by monetary financial institutions (MFI). Nevertheless, other lenders gave over 12.7 billion British pounds worth of consumer credit. During the past years, non-bank lenders have been increasing their market share. Credit cards made up most of the new monthly consumer lending in the UK.

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.

Presents the balance sheet, statement of operations and statement of other economic flows for the public sector, compliant with the Government Finance Statistics Manual 2014: GFSM 2014 presentation.

Dataset

This dataset was created by peter mushemi

Released under MIT

Contents

All financial transactions made by Companies House as part of the Government’s commitment to transparency in expenditure

Annual balance sheet data published alongside the experimental UK financial accounts flow of funds matrices. These new data are experimental statistics and should not be used in place of the regularly published official statistics.

M4 private sector holdings of public sector debt Sterling Treasury bills and British government securities and Tax Instruments Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: Finstats

This sample dataset includes information for different SMEs across various locations. The data includes the SME's capital, turnover, pre-tax profit, tax, and the number of employees for both 2018 and 2023.

Please note that the data provided is completely random and is for illustrative purposes only. In practice, the data for a particular SME would need to be based on actual financial and business metrics

The use of smart contracts is transforming how financial services operate, from automating settlements to enabling tokenized assets. In the banking sector, firms are deploying smart contract workflows to reduce manual hand-offs and lower error rates. In the insurance industry, claims automation via smart contracts is speeding payouts and cutting...

Presents the impact of the regular annual data updates and data improvements incorporated into the public sector finances release in September 2025 on our headline public sector measures.

[The spreadsheet is organised into two parts. The first contains a broad set of annual data covering the UK national accounts and other financial and macroeconomic data stretching back in some cases to the late 17th century. The second and third sections cover the available monthly and quarterly data for the UK to facilitate higher frequency analysis on the macroeconomy and the financial system. The spreadsheet attempts to provide continuous historical time series for most variables up to the present day by making various assumptions about how to link the historical components together. But we also have provided the various chains of raw historical data and retained all our calculations in the spreadsheet so that the method of calculating the continuous times series is clear and users can construct their own composite estimates by using different linking procedures., This dataset contains a broad set of historical data covering the UK national accounts and other financial and macroeconomic data stretching back in some cases to the late 17th century.]

Distribution and use of income account and capital account, financial account and balance sheet quarterly data for non-financial corporations and sub-sectors.

Balance sheet statistics for other financial institutions (OFIs). OFIs is the second-largest UK financial grouping by assets, after banking. These are official statistics in development.

Entry-level mortgage broker/intermediary review dataset providing core review text, ratings, and brand/sector identifiers across UK finance and mortgage providers and multiple industry sectors. Ideal for benchmarking, trend analysis, and academic research.

United Kingdom BoP: Financial Account data was reported at 11,075.000 GBP mn in Dec 2024. This records a decrease from the previous number of 34,034.000 GBP mn for Sep 2024. United Kingdom BoP: Financial Account data is updated quarterly, averaging 348.500 GBP mn from Mar 1955 (Median) to Dec 2024, with 280 observations. The data reached an all-time high of 53,841.000 GBP mn in Sep 2016 and a record low of -16,088.000 GBP mn in Dec 2022. United Kingdom BoP: Financial Account data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.JB008: BPM6: Balance of Payments: Financial Account.