66 datasets found
  1. Data from: International comparisons of productivity

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jan 11, 2023
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    Office for National Statistics (2023). International comparisons of productivity [Dataset]. https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/datasets/internationalcomparisonsofproductivityfirstestimates
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    xlsxAvailable download formats
    Dataset updated
    Jan 11, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Data underlying comparisons of UK productivity against that of the remaining G7 countries.

  2. o

    Three centuries of UK data

    • openicpsr.org
    Updated Nov 24, 2016
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    Ryland Thomas (2016). Three centuries of UK data [Dataset]. http://doi.org/10.3886/E100350V1
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    Dataset updated
    Nov 24, 2016
    Dataset provided by
    Bank of England
    Authors
    Ryland Thomas
    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, 1600 - Jan 1, 2016
    Area covered
    United Kingdom
    Description

    [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.]

  3. d

    505 Economics: Monthly National GDP Dataset for the UK (quick, frequent and...

    • datarade.ai
    Updated May 1, 2021
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    505 Economics (2021). 505 Economics: Monthly National GDP Dataset for the UK (quick, frequent and precise) [Dataset]. https://datarade.ai/data-products/505-economics-monthly-national-gdp-dataset-for-the-uk-quick-frequent-and-precise-505-economics
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    May 1, 2021
    Dataset authored and provided by
    505 Economics
    Area covered
    United Kingdom
    Description

    505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards.

    Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have.

    We produce the data using high-resolution night time satellite imagery and Artificial Intelligence.

    This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK.

    We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP.

    Key features: - Frequent: Data is provided every month from January 2015. This is more frequent than quarterly official datasets. - Timely: Data is provided with a three week lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 3-6 month lag of official datasets. - Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

    The dataset can be used by:

    • Financial services - to get an indication of national-level GDP before official GDP statistics are released
    • Governments and policy makers - to monitor the performance of economies, to measure the impact of policies, and to get a real-time indication of economic activity.
    • Engineering companies - to monitor and evaluate the national impact of infrastructure projects
    • Consultancies - to forecast the national impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects
    • Economics firms - to create macro forecasts at the national, to assess the impact of policy interventions.
    • Academia / Think Tanks - to conduct novel research with more-frequent GDP data than is available from official sources. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns.

    We have created this dataset for the UK, Switzerland and 28 EU Countries.

  4. w

    Economic Estimates: Digital Sector Annual Gross Value Added (2019 to 2023)

    • gov.uk
    Updated Mar 6, 2025
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    Department for Science, Innovation and Technology (2025). Economic Estimates: Digital Sector Annual Gross Value Added (2019 to 2023) [Dataset]. https://www.gov.uk/government/statistics/economic-estimates-digital-sector-annual-gross-value-added-2019-to-2023
    Explore at:
    Dataset updated
    Mar 6, 2025
    Dataset provided by
    GOV.UK
    Authors
    Department for Science, Innovation and Technology
    Description

    Headline findings

    • Provisionally, the Digital Sector GVA decreased by an estimated 1.6% between 2022 and 2023, while accounting for inflation. Total UK GVA is estimated to have increased by 0.4% over the same period.
    • Provisionally, inflation-adjusted estimated growth for the Digital Sector GVA between 2019 and 2023 was 13.7%.
    • Revised, inflation-adjusted, estimated growth for the Digital Sector GVA between 2019 and 2022 was 15.6%. This is 6.5 percentage points higher than the 9.1% growth reported previously in provisional estimates. This update brings Digital Sector GVA figures more in line with National Accounts data.
    • The Digital Sector is provisionally estimated to have accounted for 6.5% of total UK GVA in 2023 at £153.5 billion in current prices, decreasing from an estimated 6.8% of total UK GVA in 2022.
    • From 2022 to 2023, notable changes to Digital subsector GVA include a 6.7% decrease in the largest Digital subsector ‘Computer programming, consultancy and related activities’ and an 8.6% increase in the second largest Digital subsector ‘Telecommunications’.

    About this release

    This Annual GVA series is our most accurate estimate of Digital Sector GVA. These Economic Estimates are Accredited Official Statistics used to provide an estimate of the contribution of the Digital Sector and its associated subsectors to the UK, measured by GVA (gross value added).

    This is the first release of provisional annual estimates for 2023, and Blue Book 2024 inclusive revisions to 2019 to 2022 annual estimates. The provisional Annual GVA estimates for 2023 for the Digital Sector will be revised in our next release, upon updates to underlying ABS data, and further revised in the following statistical release to include Blue Book 2025 revisions. Our next release is planned to include a full analytical report providing additional analysis on our produced GVA estimates.

    This release includes a methodology update to the deflators used to remove the effects of inflation in our chained volume measure estimates. A summary of the revisions to 2019 to 2022 estimates as part of this release can be found in the accompanying revisions report.

    This is a continuation of the Digital Sector Economic Estimates: Annual GVA release series, previously produced by the Department for Culture, Media and Sport (DCMS). Responsibility for Digital and Telecommunications policy now sits with the Department for Science, Innovation and Technology (DSIT).

    Data sources and technical information

    Findings in this release are calculated based on the published Office for National Statistics (ONS) https://www.ons.gov.uk/economy/nationalaccounts/supplyandusetables/datasets/supplyanduseofproductsandindustrygvaukexperimental">Supply and Use Tables, ONS https://www.ons.gov.uk/economy/grossdomesticproductgdp/datasets/ukgdpolowlevelaggregates">Gross Domestic Product (GDP) low-level aggregates and the ONS https://www.ons.gov.uk/businessindustryandtrade/business/businessservices/methodologies/annualbusinesssurveyabs">Annual Business Survey (ABS).

    The Supply and Use Tables (SUT) report balanced GVA at the 2-digit Standard Industrial Classification (SIC) code level up to 2022. SUT GVA is consistent with UK</a

  5. DCMS Sectors Economic Estimates: Monthly GVA (to September 2022)

    • gov.uk
    • s3.amazonaws.com
    Updated Nov 16, 2022
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    Department for Digital, Culture, Media & Sport (2022). DCMS Sectors Economic Estimates: Monthly GVA (to September 2022) [Dataset]. https://www.gov.uk/government/statistics/dcms-sectors-economic-estimates-monthly-gva-to-september-2022
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    Dataset updated
    Nov 16, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    Headline findings

    Reported DCMS Sector GVA is estimated to have fallen by 0.4% from Quarter 2 (April to June) to Quarter 3 2022 (July to September) in real terms. By comparison, the whole UK economy fell by 0.2% from Quarter 2 to Quarter 3 2022.

    GVA of reported DCMS Sectors in September 2022 was 6% above February 2020 levels, which was the most recent month not significantly affected by the pandemic. By comparison, GVA for the whole UK economy was 0.2% lower than in February 2020.

    Released

    16 November 2022

    About this release

    Monthly estimates

    These Economic Estimates are Official Statistics used to provide an estimate of the economic contribution of DCMS Sectors in terms of gross value added (GVA), for the period January 2019 to September 2022. Provisional monthly GVA in 2019 and 2020 was first published in March 2021 as an ad hoc statistical release. This current release contains new figures for July to September 2022 and revised estimates for previous months, in line with the scheduled revisions that were made to the underlying ONS datasets in October 2022.

    Estimates are in chained volume measures (i.e. have been adjusted for inflation), at 2019 prices, and are seasonally adjusted. These latest monthly estimates should only be used to illustrate general trends, not used as definitive figures.

    You can use these estimates to:

    • Look at relative indicative changes in GVA over time for DCMS sectors and subsectors

    You should not use these estimates to:

    • Quantify GVA for a specific month
    • Measure absolute change in GVA over time
    • Determine findings for DCMS sectors that are defined using more detailed industrial classes (due to the data sources only being available at broader industry levels)

    “Summed monthly” Annual GVA

    Estimates of annual GVA by DCMS Sectors, based on the monthly series, are included in this release for 2019 to 2021. These are calculated by summing the monthly estimates for the calendar year and were first published for 2019 and 2020 in DCMS Sector National Economic Estimates: 2011 - 2020.

    Since August 2022, we have been publishing these estimates as part of the regular published series of GVA data, with data being revised in line with revisions to the underlying ONS datasets, as with the monthly GVA estimates. These estimates have been published, updating what was first published last year, in order to meet growing demand for annual figures for GVA beyond the 2019 estimates in our National Statistics GVA publication. The National Statistics GVA publication estimates remain the most robust for our sectors, however estimates for years after 2019 have been delayed owing to the coronavirus (COVID-19) pandemic.

    Consequently, these “summed monthly” annual estimate figures for GVA can be used but should not be seen as definitive.

    Data sources

    The findings are calculated based on published ONS data sources including the Index of Services and Index of Production.

    These data sources provide an estimate of the monthly change in GVA for all UK industries. However, the data is only available for broader industry groups, whereas DCMS sectors are defined at a more detailed industrial level. For example, GVA for ‘Cultural education’ is estimated based on the trend for all education. Sectors such as ‘Cultural education’ may have been affected differently by COVID-19 compared to education in general. These estimates are also based on the composition of the economy in 2019. Overall, this means the accuracy of monthly GVA for DCMS sectors is likely to be lower for months in 2020 and 2021.

    The technical guidance contains further information about data sources, methodology, and the validation and accuracy of these estimates.

    Revisions

    Figures are provisional and subject to revision on a monthly basis when the ONS Index of Services and Index of Production are updated. Figures for the latest month will be highly uncertain.

    An example of the impact of these revisions is highlighted in the following example; for the revisions applied in February 2022 the average change to DCMS sector monthly GVA was 0.6%, but there were larger differences for some sectors, in some months e.g. the value of the Sport sector in May 2021 was revised from £1.27 billion to £1.45 billion, a 13.8% difference.

    <h2

  6. Data from: S1 Dataset -

    • plos.figshare.com
    zip
    Updated Jun 15, 2023
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    Raghav Gupta; Md. Mahadi Hasan; Syed Zahurul Islam; Tahmina Yasmin; Jasim Uddin (2023). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0287342.s002
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    zipAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Raghav Gupta; Md. Mahadi Hasan; Syed Zahurul Islam; Tahmina Yasmin; Jasim Uddin
    License

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

    Description

    The economic landscape of the United Kingdom has been significantly shaped by the intertwined issues of Brexit, COVID-19, and their interconnected impacts. Despite the country’s robust and diverse economy, the disruptions caused by Brexit and the COVID-19 pandemic have created uncertainty and upheaval for both businesses and individuals. Recognizing the magnitude of these challenges, academic literature has directed its attention toward conducting immediate research in this crucial area. This study sets out to investigate key economic factors that have influenced various sectors of the UK economy and have broader economic implications within the context of Brexit and COVID-19. The factors under scrutiny include the unemployment rate, GDP index, earnings, and trade. To accomplish this, a range of data analysis tools and techniques were employed, including the Box-Jenkins method, neural network modeling, Google Trend analysis, and Twitter-sentiment analysis. The analysis encompassed different periods: pre-Brexit (2011-2016), Brexit (2016-2020), the COVID-19 period, and post-Brexit (2020-2021). The findings of the analysis offer intriguing insights spanning the past decade. For instance, the unemployment rate displayed a downward trend until 2020 but experienced a spike in 2021, persisting for a six-month period. Meanwhile, total earnings per week exhibited a gradual increase over time, and the GDP index demonstrated an upward trajectory until 2020 but declined during the COVID-19 period. Notably, trade experienced the most significant decline following both Brexit and the COVID-19 pandemic. Furthermore, the impact of these events exhibited variations across the UK’s four regions and twelve industries. Wales and Northern Ireland emerged as the regions most affected by Brexit and COVID-19, with industries such as accommodation, construction, and wholesale trade particularly impacted in terms of earnings and employment levels. Conversely, industries such as finance, science, and health demonstrated an increased contribution to the UK’s total GDP in the post-Brexit period, indicating some positive outcomes. It is worth highlighting that the impact of these economic factors was more pronounced on men than on women. Among all the variables analyzed, trade suffered the most severe consequences in the UK. By early 2021, the macroeconomic situation in the country was characterized by a simple dynamic: economic demand rebounded at a faster pace than supply, leading to shortages, bottlenecks, and inflation. The findings of this research carry significant value for the UK government and businesses, empowering them to adapt and innovate based on forecasts to navigate the challenges posed by Brexit and COVID-19. By doing so, they can promote long-term economic growth and effectively address the disruptions caused by these interrelated issues.

  7. T

    United Kingdom GDP per capita

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United Kingdom GDP per capita [Dataset]. https://tradingeconomics.com/united-kingdom/gdp-per-capita
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    csv, json, xml, excelAvailable download formats
    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
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    United Kingdom
    Description

    The Gross Domestic Product per capita in the United Kingdom was last recorded at 47265 US dollars in 2024. The GDP per Capita in the United Kingdom is equivalent to 374 percent of the world's average. This dataset provides the latest reported value for - United Kingdom GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. T

    United Kingdom GDP Growth Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 13, 2025
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    TRADING ECONOMICS (2025). United Kingdom GDP Growth Rate [Dataset]. https://tradingeconomics.com/united-kingdom/gdp-growth
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Nov 13, 2025
    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
    Jun 30, 1955 - Sep 30, 2025
    Area covered
    United Kingdom
    Description

    The Gross Domestic Product (GDP) in the United Kingdom expanded 0.10 percent in the third quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United Kingdom GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  9. U

    United Kingdom UK: GDP: PPP

    • ceicdata.com
    Updated Nov 15, 2025
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    CEICdata.com (2025). United Kingdom UK: GDP: PPP [Dataset]. https://www.ceicdata.com/en/united-kingdom/gross-domestic-product-purchasing-power-parity/uk-gdp-ppp
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    Dataset updated
    Nov 15, 2025
    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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    United Kingdom
    Variables measured
    Gross Domestic Product
    Description

    United Kingdom UK: GDP: PPP data was reported at 2,856,703.440 Intl $ mn in 2017. This records an increase from the previous number of 2,798,058.629 Intl $ mn for 2016. United Kingdom UK: GDP: PPP data is updated yearly, averaging 1,847,822.483 Intl $ mn from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 2,856,703.440 Intl $ mn in 2017 and a record low of 969,455.384 Intl $ mn in 1990. United Kingdom UK: GDP: PPP 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: Gross Domestic Product: Purchasing Power Parity. PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current international dollars. For most economies PPP figures are extrapolated from the 2011 International Comparison Program (ICP) benchmark estimates or imputed using a statistical model based on the 2011 ICP. For 47 high- and upper middle-income economies conversion factors are provided by Eurostat and the Organisation for Economic Co-operation and Development (OECD).; ; World Bank, International Comparison Program database.; Gap-filled total;

  10. T

    United Kingdom Balance of Trade

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 16, 2025
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    TRADING ECONOMICS (2025). United Kingdom Balance of Trade [Dataset]. https://tradingeconomics.com/united-kingdom/balance-of-trade
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Oct 16, 2025
    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
    Mar 31, 1955 - Sep 30, 2025
    Area covered
    United Kingdom
    Description

    The United Kingdom recorded a trade deficit of 1094 GBP Million in September of 2025. This dataset provides - United Kingdom Balance of Trade - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. d

    505 Economics: Monthly Sub-National GDP Dataset for Italy (granular, timely...

    • datarade.ai
    Updated May 1, 2021
    + more versions
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    505 Economics (2021). 505 Economics: Monthly Sub-National GDP Dataset for Italy (granular, timely and precise) [Dataset]. https://datarade.ai/data-products/505-economics-monthly-sub-national-gdp-dataset-for-italy-granular-timely-and-precise-505-economics
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    May 1, 2021
    Dataset authored and provided by
    505 Economics
    Area covered
    Italy
    Description

    505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards.

    Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have.

    We produce the data using high-resolution night time satellite imagery and Artificial Intelligence.

    This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK.

    We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP.

    Key features:

    • Granular: Data is provided at the following geographical units:
      • NUTS3 (e.g. Provinces),
      • NUTS2 (e.g. Regions),
      • NUTS1 (e.g. Macroregions), and
      • NUTS0 (e.g. Italy) levels.
    • Frequent: Data is provided every month from January 2015. This is more frequent than the annualised official datasets.
    • Timely: Data is provided with a one month lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 18 month lag of official datasets.
    • Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

    The dataset can be used by:

    • Governments and policy makers - to monitor the performance of local economies, to measure the localised impact of policies, and to get a real-time indication of economic activity.
    • Financial services - to get an indication of national-level GDP before official GDP statistics are released
    • Engineering companies - to monitor and evaluate the localised impact of infrastructure projects
    • Consultancies - to forecast the localised impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects
    • Economics firms - to create macro forecasts at the national and sub-national level, to assess the impact of policy interventions.
    • Academia / Think Tanks - to conduct novel research at the local level. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns.

    We have created this dataset for all UK sub-national regions, 28 EU Countries and Switzerland.

  12. d

    COVID-19 and London's Economy - impacts and economic outlook

    • datasets.ai
    • ckan.publishing.service.gov.uk
    33
    Updated Feb 12, 2021
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    data.gov.uk (2021). COVID-19 and London's Economy - impacts and economic outlook [Dataset]. https://datasets.ai/datasets/covid-19-and-londons-economy-impacts-and-economic-outlook
    Explore at:
    33Available download formats
    Dataset updated
    Feb 12, 2021
    Dataset provided by
    data.gov.uk
    Area covered
    London
    Description

    This paper summarises the latest evidence and analysis on the impacts of COVID-19 on London’s economy so far and on the economic outlook so that key actors and stakeholders engaged in responding to the pandemic can have a readily available evidence base to inform policy responses.

  13. l

    Census 21 - Leicester Economic Activity

    • data.leicester.gov.uk
    csv, excel, json
    Updated Jun 29, 2023
    + more versions
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    (2023). Census 21 - Leicester Economic Activity [Dataset]. https://data.leicester.gov.uk/explore/dataset/census-21-leicester-economic-activity/
    Explore at:
    json, csv, excelAvailable download formats
    Dataset updated
    Jun 29, 2023
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Leicester
    Description

    The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021.The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads.Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents. There is also a dashboard published showcasing various datasets from the census allowing users to view data for Leicester and compare this with national statistics.Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproductsEconomic activityThis dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by economic activity status. The estimates are as at Census Day, 21 March 2021.Definition: People aged 16 years and over are economically active if, between 15 March and 21 March 2021, they were:in employment (an employee or self-employed)unemployed, but looking for work and could start within two weeksunemployed, but waiting to start a job that had been offered and acceptedIt is a measure of whether or not a person was an active participant in the labour market during this period. Economically inactive are those aged 16 years and over who did not have a job between 15 March to 21 March 2021 and had not looked for work between 22 February to 21 March 2021 or could not start work within two weeks.The census definition differs from International Labour Organization definition used on the Labour Force Survey, so estimates are not directly comparable.This dataset contains details for Leicester city and England overall.

  14. T

    United Kingdom Imports

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). United Kingdom Imports [Dataset]. https://tradingeconomics.com/united-kingdom/imports
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Sep 15, 2025
    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
    Mar 31, 1955 - Sep 30, 2025
    Area covered
    United Kingdom
    Description

    Imports in the United Kingdom decreased to 80805 GBP Million in August from 81391 GBP Million in July of 2025. This dataset provides - United Kingdom Imports - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. U.S. / U.K. Foreign Exchange Rate

    • kaggle.com
    zip
    Updated Dec 24, 2019
    + more versions
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    Federal Reserve (2019). U.S. / U.K. Foreign Exchange Rate [Dataset]. https://www.kaggle.com/datasets/federalreserve/u.s.--u.k.-foreign-exchange-rate
    Explore at:
    zip(67623 bytes)Available download formats
    Dataset updated
    Dec 24, 2019
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Federal Reserve
    Area covered
    United States, United Kingdom
    Description

    Content

    More details about each file are in the individual file descriptions.

    Context

    This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

    Cover photo by Nick Fewings on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  16. U

    United Kingdom UK: Exports: High-Income Economies: % of Total Goods Exports

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). United Kingdom UK: Exports: High-Income Economies: % of Total Goods Exports [Dataset]. https://www.ceicdata.com/en/united-kingdom/exports/uk-exports-highincome-economies--of-total-goods-exports
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    Dataset updated
    Mar 15, 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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United Kingdom
    Variables measured
    Merchandise Trade
    Description

    United Kingdom UK: Exports: High-Income Economies: % of Total Goods Exports data was reported at 82.868 % in 2016. This records an increase from the previous number of 81.603 % for 2015. United Kingdom UK: Exports: High-Income Economies: % of Total Goods Exports data is updated yearly, averaging 80.111 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 90.402 % in 1999 and a record low of 65.296 % in 1960. United Kingdom UK: Exports: High-Income Economies: % of Total Goods Exports 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: Exports. Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

  17. T

    United Kingdom Consumer Confidence

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 21, 2025
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    TRADING ECONOMICS (2025). United Kingdom Consumer Confidence [Dataset]. https://tradingeconomics.com/united-kingdom/consumer-confidence
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Nov 21, 2025
    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
    Nov 30, 1981 - Nov 30, 2025
    Area covered
    United Kingdom
    Description

    Consumer Confidence in the United Kingdom decreased to -19 points in November from -17 points in October of 2025. This dataset provides the latest reported value for - United Kingdom Consumer Confidence - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  18. DCMS Sectors Economic Estimates 2022: Business Demographics

    • gov.uk
    Updated Nov 16, 2023
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    Department for Digital, Culture, Media & Sport (2023). DCMS Sectors Economic Estimates 2022: Business Demographics [Dataset]. https://www.gov.uk/government/statistics/dcms-sectors-economic-estimates-2022-business-demographics
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    Dataset updated
    Nov 16, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    About

    These Economic Estimates are National Statistics providing an estimate of the contribution of DCMS Sectors to the UK economy, measured by the number of businesses.

    We have experimented with using a different, more timely data source to calculate this year’s Business Demographics statistics. As a result, they are not comparable with earlier DCMS Sector Business Demographics publications. More information is provided in these published documents and in the “Call for Feedback” section below.

    Content

    These statistics cover the contributions of the following DCMS sectors to the UK economy;

    • Creative Industries
    • Cultural Sector
    • Digital Sector
    • Gambling
    • Sport
    • Telecoms
    • Tourism (defined in this release as the Tourism Industries)

    Users should note that there is overlap between DCMS Sector definitions and that the Telecoms sector sits wholly within the Digital sector. Estimates are not available for the Civil Society sector, because they are not identifiable in the data source used for this release.

    The release also includes estimates for the Audio Visual sector, which is not a DCMS Sector but is “adjacent” to it and includes some industries also common to DCMS Sectors.

    A definition for each sector is available in the published data tables.

    Released

    These statistics were first published on 8 December 2022

    Call for Feedback

    In this publication we have experimented with using a snapshot of the Inter-Departmental Business Register (IDBR) to generate estimates of DCMS Business Demographics, rather than the Annual Business Survey (ABS) as in previous releases. This has the advantage of being more timely, and commits to most tables included in previous Business Demographics publications. We have used the March 2019, March 2020, March 2021 and March 2022 snapshots from the ONS https://www.ons.gov.uk/businessindustryandtrade/business/activitysizeandlocation/datasets/ukbusinessactivitysizeandlocation">UK business: activity, size and location release rather than raw data from the IDBR.

    We are looking for feedback on this approach. We particularly welcome views on:

    • Continuing with this approach using the more timely IDBR data source.
    • Returning to the previous approach using the ABS as a data source.
    • Experimenting with a ‘mixed approach’ where estimates would be produced using the IDBR snapshot, supplemented with further data from the ABS to produce additional tables.

    Please contact evidence@dcms.gov.uk before Thursday 9th February 2023 with any feedback.

    Hard copy feedback can be sent to:

    DCMS Economic Estimates Team
    Department for Digital, Culture, Media & Sport
    4th Floor - area 4/34
    100 Parliament Street
    London
    SW1A 2BQ

    The UK Statistics Authority

    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.

    Pre-release access

    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.

    Contact

    Responsible analyst: Eri Hutchinson

    For any queries or feedback, please contact evidence@dcms.gov.uk.

  19. 2

    BHPS

    • datacatalogue.ukdataservice.ac.uk
    Updated Apr 11, 2012
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    Levy, H., University of Essex, Institute for Social and Economic Research; Bardasi, E., University of Essex, Institute for Social and Economic Research; Jenkins, S. P., University of Essex, Institute for Social and Economic Research; Zantomio, F., University of Essex, Institute for Social and Economic Research; Sutherland, H., University of Cambridge, Department of Applied Economics, Microsimulation Unit (2012). BHPS [Dataset]. http://doi.org/10.5255/UKDA-SN-3909-2
    Explore at:
    Dataset updated
    Apr 11, 2012
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Levy, H., University of Essex, Institute for Social and Economic Research; Bardasi, E., University of Essex, Institute for Social and Economic Research; Jenkins, S. P., University of Essex, Institute for Social and Economic Research; Zantomio, F., University of Essex, Institute for Social and Economic Research; Sutherland, H., University of Cambridge, Department of Applied Economics, Microsimulation Unit
    Time period covered
    Jan 1, 1991 - Jan 1, 2009
    Area covered
    United Kingdom
    Description

    The Derived Current and Annual Net Household Income dataset provides derived net income variables for the British Household Panel Survey (BHPS). It is an unofficial supplement to the set of derived income variables in the official BHPS release (which focus on gross income rather than net income). The purpose of these additional files is to provide an analysis of income and poverty dynamics in Britain, and related topics.

    The aim of the research was to produce a longitudinal complement to the cross-section income distribution information provided by the Department of Social Security's (DSS) Households Below Average Income (HBAI) reports, and to this end the HBAI definition of net income (DSS, 1993) has been closely adhered to. Also included in the data are BHPS versions of HBAI family type and economic status variables.

    It is recommended that these data are used in conjunction with the main BHPS dataset, held at the UKDA under SN 5151.

    The original deposit of this dataset was made in 1999, and contained data from BHPS waves 1-7. Subsequent editions were updated in conjunction with successive waves of BHPS. For the eighth edition (November 2008), new data for Waves 15 and 16 have been added to the study and data for Waves 1–14 and the documentation have been updated. For the ninth edition (April 2012), new data for Waves 17 and 18 have been added and the documentation has been updated accordingly.

  20. T

    United Kingdom Money Supply M3

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 23, 2025
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    TRADING ECONOMICS (2025). United Kingdom Money Supply M3 [Dataset]. https://tradingeconomics.com/united-kingdom/money-supply-m3
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Oct 23, 2025
    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 31, 1987 - Oct 31, 2025
    Area covered
    United Kingdom
    Description

    Money Supply M3 in the United Kingdom increased to 3716531 GBP Million in October from 3708235 GBP Million in September of 2025. This dataset provides - United Kingdom Money Supply M3 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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Office for National Statistics (2023). International comparisons of productivity [Dataset]. https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/datasets/internationalcomparisonsofproductivityfirstestimates
Organization logo

Data from: International comparisons of productivity

Related Article
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2 scholarly articles cite this dataset (View in Google Scholar)
xlsxAvailable download formats
Dataset updated
Jan 11, 2023
Dataset provided by
Office for National Statisticshttp://www.ons.gov.uk/
License

Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically

Description

Data underlying comparisons of UK productivity against that of the remaining G7 countries.

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