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.
The gross domestic product of the United Kingdom was around 2.56 trillion British pounds, an increase when compared to the previous year, when UK GDP amounted to about 2.54 trillion pounds. The significant drop in GDP visible in 2020 was due to the COVID-19 pandemic, with the smaller declines in 2008 and 2009 because of the global financial crisis of the late 2000s. Low growth problem in the UK Despite growing by 0.9 percent in 2024, and 0.4 percent in 2023 the UK economy is not that much larger than it was before the COVID-19 pandemic. Since recovering from a huge fall in GDP in the second quarter of 2020, the UK economy has alternated between periods of contraction and low growth, with the UK even in a recession at the end of 2023. While economic growth picked up somewhat in 2024, GDP per capita is lower than it was in 2022, following two years of negative growth. UK's global share of GDP falling As of 2024, the UK had the sixth-largest economy in the world, behind the United States, China, Japan, Germany, and India. Among European nations, this meant that the UK currently has the second-largest economy in Europe, although the economy of France, Europe's third-largest economy, is of a similar size. The UK's global economic ranking will likely fall in the coming years, however, with the UK's share of global GDP expected to fall from 2.16 percent in 2025 to 2.02 percent by 2029.
These latest estimates of the flows of goods and services in the Northern Ireland (NI) economy have been produced in line with guidance from the European System of Accounts (2010) – an international standard approach. The statistics provide the most complete picture of the detailed structure and characteristics of the local economy currently available. A detailed set of Supply-Use tables are included for 2017 and 2018.
The statistic shows the distribution of the workforce across economic sectors in the United Kingdom from 2013 to 2023. In 2023, 0.99 percent of the workforce were employed in agriculture, 17.77 percent in manufacturing and 81.25 percent in services. The same year, the total UK population amounted to about 81 million people.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Financial System Deposits to GDP for United Kingdom (DISCONTINUED) (DDDI08GBA156NWDB) from 1960 to 2009 about deposits, United Kingdom, financial, and GDP.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about book subjects. It has 1 row and is filtered where the books is British economic growth,1688-1959 : trends and structure. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United Kingdom EX: sa: BoP: Goods: EU: Mfg: FM: Structural Metal data was reported at 90.000 GBP mn in Mar 2018. This records an increase from the previous number of 75.000 GBP mn for Dec 2017. United Kingdom EX: sa: BoP: Goods: EU: Mfg: FM: Structural Metal data is updated quarterly, averaging 62.000 GBP mn from Mar 1998 (Median) to Mar 2018, with 81 observations. The data reached an all-time high of 112.000 GBP mn in Jun 2008 and a record low of 46.000 GBP mn in Sep 2009. United Kingdom EX: sa: BoP: Goods: EU: Mfg: FM: Structural Metal data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.JA021: Exports: By Industry: EU Countries: Seasonally Adjusted.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United Kingdom EX: sa: BoP: Goods: EU: Mfg: TE: Ships, Boats & Floating Structures data was reported at 162.000 GBP mn in Mar 2018. This records an increase from the previous number of 89.000 GBP mn for Dec 2017. United Kingdom EX: sa: BoP: Goods: EU: Mfg: TE: Ships, Boats & Floating Structures data is updated quarterly, averaging 95.000 GBP mn from Mar 1998 (Median) to Mar 2018, with 81 observations. The data reached an all-time high of 436.000 GBP mn in Dec 2010 and a record low of 31.000 GBP mn in Jun 2003. United Kingdom EX: sa: BoP: Goods: EU: Mfg: TE: Ships, Boats & Floating Structures data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.JA021: Exports: By Industry: EU Countries: Seasonally Adjusted.
The Business Structure Database is managed by the Secure Data Service (SDS) and can only be accessed through secure conditions. The ‘domestic use’ input-output matrix, contains domestic trade flows describing intermediate demand between Standard-Industrial-Classification (SIC) coded sectors. This was obtained from the ONS.GRIT (‘Geospatial Restructuring of Industrial Trade’) is an ESRC-funded project in the School of Geography at the University of Leeds. An energy revolution must take place if the worst effects of climate change are to be avoided. Even without the impact this may have (eg through carbon pricing), fuel costs have a very uncertain future. GRIT has two aims: create a fine-grained picture of the current spatial structure of the UK economy consider how changing fuel prices could alter that structure over the long term. GRIT examines the web of connections between businesses in the UK to identify sectors and locations facing the greatest changes. GRIT will work with a unique dataset: the Business Structure Database contains information for nearly every UK business, including location and sector classification. This will be linked to sectoral trade flow data. These two sources offer an opportunity to map the current spatial distribution of economic activity in the UK and to think about how that distribution may change in the future. GRIT combines this data-driven approach with a plan to engage with organisations directly affected. GRIT will work closely with a small number of organisations and engage others through the project website. The data was supplied through the SDS.
This paper was presented at the International Symposium on Environmental Disruption in the Modern World, Japan 1970. It discusses the use of input-output analysis in understanding the environmental impacts of economic growth.
Website:
http://www.jstor.org/stable/1926294?seq=1#page_scan_tab_contents
Abstract copyright UK Data Service and data collection copyright owner. 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. Main Topics: This study is a collation and analysis of statistics on UK higher education which refers to pre-1992 universities and includes all institutions delivering degrees afterwards. The dataset, which gathers historical series on funding and development of universities from the early 1920s, is the result of research into primary and secondary governmental and institutional sources. Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research. No sampling (total universe) Compilation or synthesis of existing material
For DCMS sector data, please see: Economic Estimates: Earnings 2023 and Employment October 2022 to September 2023 for the DCMS Sectors and Digital Sector
For Digital sector data, please see: Economic Estimates: Earnings 2023 and Employment October 2022 to September 2023 for the DCMS Sectors and Digital Sector
Last update: 10 February 2022 Next update: July 2022 Geographic coverage: UK
There were, on average, 4.2 million filled jobs (12.7% of the UK total) in DCMS sectors (excluding Tourism) in the 12 month period between October 2020 and September 2021, a 1.7% increase compared to the preceding 12 months. Over the same period total UK filled jobs fell by 1.2%.
The Creative Industries had the most jobs with 2.3 million, followed by the Digital Sector (1.8 million) and Civil Society (0.9 million). The sector with the fewest jobs was Gambling at 76 thousand.
On Friday 4th November, we removed the DCMS statistics on socio-economic background and current occupation, using data from the Labour Force Survey (LFS) for the period July to September 2021.
This is because ONS have identified an https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/theimpactofmiscodingofoccupationaldatainofficefornationalstatisticssocialsurveysuk/2022-09-26" class="govuk-link">issue with the way their underlying survey data has been assigned to the refreshed SOC2020 codes that were used to calculate these estimates in this publication. ONS expects to resolve the issue by Spring 2023.
No other data in this release is affected. Data covering https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1043520/DCMS_sectors_Economic_Estimates_Employment_Labour_Force_Survey_July_to_September_2016_2019_and_2020.ods" class="govuk-link">July to September 2020 for socio-economic background and current occupation is unaffected by the issue.
These Economic Estimates are National Statistics used to provide an estimate of employment (number of filled jobs) in the DCMS Sectors, for the period October 2020 to September 2021. The findings are calculated based on the ONS Annual Population Survey (APS).
These statistics cover the contributions of the following DCMS sectors to the UK economy;
A definition for each sector is available in the accompanying technical document along with details of methods and data limitations.
This release is published in accordance with the Code of Practice for Statistics (2018) produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The accompanying pre-release access document lists ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
Responsible analyst: George Ashford
For any queries or feedback, please contact evidence@dcms.gov.uk.
The UK regions with the biggest increase in DCMS Sector (excluding Tourism and Civil Society) GVA were London and the East Midlands which grew by 53.3% and 31.4%, respectively, in real terms between 2010 and 2018.
East Midlands, Scotland, West Midlands and Yorkshire and the Humber saw the highest growth in DCMS sectors GVA since 2017 (7.0%, 6.8%, 6.0%, and 6.0% respectively).
Activity in DCMS sectors was more concentrated in London than the general economy; 39.6% of DCMS sector GVA was accounted for in London compared to 23.6% for the total UK economy.
GVA from the Creative Industries, Cultural, Digital and Telecoms sectors was largely concentrated in London and the South East. By contrast, GVA from the Sport and Gambling sectors was distributed more evenly across the UK, although these sectors are much smaller in value.
These Economic Estimates are Official Statistics used to provide an estimate of Gross Value Added (GVA) in the DCMS Sectors.
These statistics cover the contributions of the following DCMS sectors to the UK economy;
A definition for each sector is available in the associated https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/829114/DCMS_Sectors_Economic_Estimates_-_Methodology.pdf" class="govuk-link">methodology note along with details of methods and data limitations.
20 May 2020
DCMS aims to continuously improve the quality of estimates and better meet user needs. DCMS welcomes feedback on this release. Feedback should be sent to DCMS via email at evidence@culture.gov.uk.
This release is published in accordance with the Code of Practice for Statistics, as produced by the UK Statistics Authority. The Authority has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The responsible statisticians for this release is Ziga Dernac. For further details about the estimates, or to be added to a distribution list for future updates, please email us at evidence@culture.gov.uk.
The document above contains a list of ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United Kingdom Import: sa: BoP: Goods: Mfg: TE: Ships, Boats & Floating Structures data was reported at 299.000 GBP mn in Mar 2018. This records a decrease from the previous number of 1,203.000 GBP mn for Dec 2017. United Kingdom Import: sa: BoP: Goods: Mfg: TE: Ships, Boats & Floating Structures data is updated quarterly, averaging 258.000 GBP mn from Mar 1998 (Median) to Mar 2018, with 81 observations. The data reached an all-time high of 1,203.000 GBP mn in Dec 2017 and a record low of 88.000 GBP mn in Sep 1999. United Kingdom Import: sa: BoP: Goods: Mfg: TE: Ships, Boats & Floating Structures data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.JA008: Imports: By Industry: Seasonally Adjusted.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United Kingdom EX: sa: BoP: Goods: Mfg: TE: Ships, Boats & Floating Structures data was reported at 381.000 GBP mn in Mar 2018. This records a decrease from the previous number of 419.000 GBP mn for Dec 2017. United Kingdom EX: sa: BoP: Goods: Mfg: TE: Ships, Boats & Floating Structures data is updated quarterly, averaging 269.000 GBP mn from Mar 1998 (Median) to Mar 2018, with 81 observations. The data reached an all-time high of 1,072.000 GBP mn in Jun 2007 and a record low of 90.000 GBP mn in Jun 2003. United Kingdom EX: sa: BoP: Goods: Mfg: TE: Ships, Boats & Floating Structures data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.JA020: Exports: By Industry: Seasonally Adjusted.
The English structural transformation from farming to manufacturing was accompanied by rapid technological change, expansion of trade, and massive population growth. While the roles of technology and trade in this process have been investigated, the literature has largely ignored the role of population growth. We examine population size effects on various aspects of structural development, characterizing their explicit dependence on preference-side and production-side characteristics of the economy, and trade. Our quantitative analysis of the English transformation assigns a major role to population growth, with especially notable contributions to post-1750 rise in the manufacturing employment share and the relative price dynamics.
https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Railways, Maintenance of Ways and Structures for Great Britain (A025ABGBA403NNBR) from 1919 to 1933 about infrastructure, maintenance, railroad, and United Kingdom.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The United Kingdom: Financial system deposits, percent of GDP: The latest value from is percent, unavailable from percent in . In comparison, the world average is 0.00 percent, based on data from countries. Historically, the average for the United Kingdom from to is percent. The minimum value, percent, was reached in while the maximum of percent was recorded in .
The Business Structure Database (BSD) contains a small number of variables for almost all business organisations in the UK. The BSD is derived primarily from the Inter-Departmental Business Register (IDBR), which is a live register of data collected by HM Revenue and Customs via VAT and Pay As You Earn (PAYE) records. The IDBR data are complimented with data from ONS business surveys. If a business is liable for VAT (turnover exceeds the VAT threshold) and/or has at least one member of staff registered for the PAYE tax collection system, then the business will appear on the IDBR (and hence in the BSD). In 2004 it was estimated that the businesses listed on the IDBR accounted for almost 99 per cent of economic activity in the UK. Only very small businesses, such as the self-employed were not found on the IDBR.
The IDBR is frequently updated, and contains confidential information that cannot be accessed by non-civil servants without special permission. However, the ONS Virtual Micro-data Laboratory (VML) created and developed the BSD, which is a 'snapshot' in time of the IDBR, in order to provide a version of the IDBR for research use, taking full account of changes in ownership and restructuring of businesses. The 'snapshot' is taken around April, and the captured point-in-time data are supplied to the VML by the following September. The reporting period is generally the financial year. For example, the 2000 BSD file is produced in September 2000, using data captured from the IDBR in April 2000. The data will reflect the financial year of April 1999 to March 2000. However, the ONS may, during this time, update the IDBR with data on companies from its own business surveys, such as the Annual Business Survey (SN 7451).
The Business Structure Database Longitudinal, 1997-2013 was compiled by Michael Anyadike-Danes, Aston Business School, with support from Economic and Social Research Council funding.
Researchers are advised to read the documentation accompanying the main BSD collection held by the UK Data Archive under SN 6697 before applying for or using the longitudinal data.
Linking to other business studies
These data contain IDBR reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.
For the second edition (April 2019), the full postcodes have been replaced with only the first part of the postcode (e.g., SW1V rather than SW1V 2QQ) in the two geography data files. A look up file that includes postcode districts has been added so that users can still aggregate to higher geographies.
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.