In 2024, agriculture contributed around 0.56 percent to the United Kingdom’s GDP, 16.74 percent came from the manufacturing industry, and 72.79 percent from the services sector. The UK is not a farmer’s marketThe vast majority of the UK’s GDP is generated by the services sector, and tourism in particular keeps the economy going. In 2017, almost 214 billion British Pounds were contributed to the GDP through travel and tourism – about 277 billion U.S. dollars – and the forecasts see an upwards trend. For comparison, only an estimated 10.3 billion GBP were generated by the agriculture sector in the same year. But is it a tourist’s destination still? Though forecasts are not in yet, it is unclear whether travel and tourism can keep the UK’s economy afloat in the future, especially after Brexit and all its consequences. Higher travel costs, having to wait for visas, and overall more complicated travel arrangements are just some of the concerns tourists have when considering vacationing in the UK after Brexit. Consequences of the referendum are already observable in the domestic travel industry: In 2017, about 37 percent of British travelers said Brexit caused them to cut their holidays short by a few days, and about 14 percent said they did not leave the UK for their holidays because of it.

Graph and download economic data for Financial System Deposits to GDP for United Kingdom (DISCONTINUED) (DDDI08GBA156NWDB) from 1960 to 2009 about United Kingdom, deposits, financial, and GDP.

In 2023, agriculture contributed around 0.58 percent to the United Kingdom’s GDP, 17.5 percent came from the manufacturing industry, and 72.53 percent from the services sector. The UK is not a farmer’s marketThe vast majority of the UK’s GDP is generated by the services sector, and tourism in particular keeps the economy going. In 2017, almost 214 billion British Pounds were contributed to the GDP through travel and tourism – about 277 billion U.S. dollars – and the forecasts see an upwards trend. For comparison, only an estimated 10.3 billion GBP were generated by the agriculture sector in the same year. But is it a tourist’s destination still? Though forecasts are not in yet, it is unclear whether travel and tourism can keep the UK’s economy afloat in the future, especially after Brexit and all its consequences. Higher travel costs, having to wait for visas, and overall more complicated travel arrangements are just some of the concerns tourists have when considering vacationing in the UK after Brexit. Consequences of the referendum are already observable in the domestic travel industry: In 2017, about 37 percent of British travelers said Brexit caused them to cut their holidays short by a few days, and about 14 percent said they did not leave the UK for their holidays because of it.

United Kingdom UK: Average Transaction Cost of Sending Remittances from a Specific Country data was reported at 7.009 % in 2017. This records a decrease from the previous number of 7.349 % for 2016. United Kingdom UK: Average Transaction Cost of Sending Remittances from a Specific Country data is updated yearly, averaging 7.562 % from Dec 2011 (Median) to 2017, with 7 observations. The data reached an all-time high of 8.400 % in 2013 and a record low of 7.009 % in 2017. United Kingdom UK: Average Transaction Cost of Sending Remittances from a Specific Country data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Payment System. Average transaction cost of sending remittance from a specific country is the average of the total transaction cost in percentage of the amount sent for sending USD 200 charged by each single remittance service provider (RSP) included in the Remittance Prices Worldwide (RPW) database from a specific country.; ; World Bank, Remittance Prices Worldwide, available at http://remittanceprices.worldbank.org; Unweighted average;

Daily data showing SAP of gas, and rolling seven-day average, traded in Great Britain over the On-the-Day Commodity Market (OCM). These are official statistics in development. Source: National Gas Transmission.

United Kingdom UK: Banking Institutions: Foreign Assets data was reported at 3,692,394.000 GBP mn in Sep 2018. This records a decrease from the previous number of 3,715,082.000 GBP mn for Jun 2018. United Kingdom UK: Banking Institutions: Foreign Assets data is updated quarterly, averaging 547,933.000 GBP mn from Mar 1963 (Median) to Sep 2018, with 223 observations. The data reached an all-time high of 3,905,217.000 GBP mn in Dec 2008 and a record low of 1,693.000 GBP mn in Mar 1963. United Kingdom UK: Banking Institutions: Foreign Assets data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United Kingdom – Table UK.IMF.IFS: Financial System: Deposit Money Banks: Quarterly.

This dataset is about books. It has 1 row and is filtered where the book is The economic impacts of UK labour productivity : enhancing industrial policies and their spillover effects on the energy system. It features 7 columns including author, publication date, language, and book publisher.

This study is comprised by the data collected for a wider project exploring the historical relationship between higher education and the UK economy. The project sought to provide a long-term explanation of the relationships between funding, widening access and socio-economic aspects of higher education. Three main areas were considered:
-The provision of an in-depth historical account and analysis of the numbers and extent of students and staff for the purposes of evaluating the main characteristics of UK higher education development back the 1920s.
-The provision of an in-depth historical account and evaluation of levels and structures of income and expenditure in higher education
-The interpretation of these data with reference to major socio-economic indicators.

QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community. This dataset contains socio-economic scenarios from the IPCC SRES report.

India Exports: UK: Furniture data was reported at 98.600 USD mn in 2018. This records an increase from the previous number of 97.300 USD mn for 2017. India Exports: UK: Furniture data is updated yearly, averaging 46.445 USD mn from Mar 1997 (Median) to 2018, with 22 observations. The data reached an all-time high of 100.190 USD mn in 2016 and a record low of 1.270 USD mn in 1997. India Exports: UK: Furniture data remains active status in CEIC and is reported by Ministry of Commerce and Industry. The data is categorized under Global Database’s India – Table IN.JAC024: Foreign Trade: Harmonized System 2 Digits: United Kingdom.

United Kingdom UK: Monetary Authorities: Reserve Money data was reported at 537,810.000 GBP mn in 2017. This records an increase from the previous number of 446,877.000 GBP mn for 2016. United Kingdom UK: Monetary Authorities: Reserve Money data is updated yearly, averaging 12,884.500 GBP mn from Dec 1950 (Median) to 2017, with 68 observations. The data reached an all-time high of 537,810.000 GBP mn in 2017 and a record low of 1,822.000 GBP mn in 1950. United Kingdom UK: Monetary Authorities: Reserve Money data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United Kingdom – Table UK.IMF.IFS: Financial System: Monetary Authorities: Annual.

United Kingdom UK: Banking Survey: Claims on Government: Net data was reported at 588,924.000 GBP mn in Sep 2018. This records a decrease from the previous number of 602,775.000 GBP mn for Aug 2018. United Kingdom UK: Banking Survey: Claims on Government: Net data is updated monthly, averaging 23,733.000 GBP mn from Jan 1987 (Median) to Sep 2018, with 381 observations. The data reached an all-time high of 622,630.000 GBP mn in Apr 2017 and a record low of -29,210.000 GBP mn in Feb 2007. United Kingdom UK: Banking Survey: Claims on Government: Net data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United Kingdom – Table UK.IMF.IFS: Financial System: Monetary.

India Exports: UK: Lac, Gums, Resins & Other Vegetable Saps data was reported at 18.700 USD mn in 2018. This records a decrease from the previous number of 20.590 USD mn for 2017. India Exports: UK: Lac, Gums, Resins & Other Vegetable Saps data is updated yearly, averaging 11.285 USD mn from Mar 1997 (Median) to 2018, with 22 observations. The data reached an all-time high of 27.450 USD mn in 2012 and a record low of 6.160 USD mn in 2010. India Exports: UK: Lac, Gums, Resins & Other Vegetable Saps data remains active status in CEIC and is reported by Ministry of Commerce and Industry. The data is categorized under Global Database’s India – Table IN.JAC024: Foreign Trade: Harmonized System 2 Digits: United Kingdom.

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

National Coverage

Analysis unit

Individual

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Sample survey data [ssd]

Frequency of data collection

Triennial

Sampling procedure

As in the first edition, the indicators in the 2014 Global Findex are drawn from survey data covering almost 150,000 people in more than 140 economies-representing more than 97 percent of the world's population. The survey was carried out over the 2014 calendar year by Gallup, Inc. as part of its Gallup World Poll, which since 2005 has continually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 140 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. The set of indicators will be collected again in 2017.

Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or is the customary methodology. In most economies the fieldwork is completed in two to four weeks. 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 by means of the Kish grid. In economies where cultural restrictions dictate gender matching, respondents are randomly selected through the Kish grid from among all eligible adults of the interviewer's gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

The sample size in United Kingdom was 1,000 individuals.

Mode of data collection

Other [oth]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in 142 languages upon request.

Questions on cash withdrawals, saving using an informal savings club or person outside the family, domestic remittances, school fees, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

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 Asli Demirguc-Kunt, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden, “The Global Findex Database 2014: Measuring Financial Inclusion around the World.” Policy Research Working Paper 7255, World Bank, Washington, D.C.

These data were collected as part of a research project run by Dr Leigh Shaw-Taylor and Professor E.A. Wrigley and funded by the Economic and Social Research Council: Male occupational structure and economic growth in England 1750-1851 (RES-000-23-0131).

The aim of this project was to reconstruct the evolution of England's male occupational structure from c.1750 to 1851. The underlying aim was to improve our understanding of the industrial revolution. The results of the project have not, at the time of writing, been published.