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Data underlying comparisons of UK productivity against that of the remaining G7 countries.
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:
We have created this dataset for the UK, Switzerland and 28 EU Countries.
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[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.]
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Datasets for each of the chapters in The Blue Book 2024 including the national accounts at a glance, financial and non-financial corporations, households and non-profit institutions serving households and summary supply and use tables.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Quarterly summary of balance of payments accounts including the current account, capital transfers, transactions, and levels of UK external assets and liabilities.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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.
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The United Kingdom recorded a trade deficit of 5260 GBP Million in July of 2025. This dataset provides - United Kingdom Balance of Trade - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset is about books. It has 1 row and is filtered where the book is A United Kingdom? : economic, social and political geographies. It features 7 columns including author, publication date, language, and book publisher.
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.
16 November 2022
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:
You should not use these estimates to:
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.
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.
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.
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).
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" class="govuk-link">Supply and Use Tables, ONS https://www.ons.gov.uk/economy/grossdomesticproductgdp/datasets/ukgdpolowlevelaggregates" class="govuk-link">Gross Domestic Product (GDP) low-level aggregates and the ONS https://www.ons.gov.uk/businessindustryandtrade/business/businessservices/methodologies/annualbusinesssurveyabs" class="govuk-link">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 <abbr title="Gross V
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This dataset is about books. It has 56 rows and is filtered where the book subjects is Great Britain-Economic conditions-1918-1945. It features 9 columns including author, publication date, language, and book publisher.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This release replaces the previous annual and quarterly publications Control of Immigration Statistics and the annual British Citizenship, following a public consultation. Each topic now has its own entry, links to these related reports can be found under the "additional links" section. The European Economic Area (EEA) consists of countries within the EU, together with Norway, Iceland and Liechtenstein. Nationals of the EEA and Switzerland have rights of free movement within the United Kingdom. This means that there is less information on numbers coming to the United Kingdom than for nationals of other countries. This topic brief brings together the information that is known about these nationals.
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:
The dataset can be used by:
We have created this dataset for all UK sub-national regions, 28 EU Countries and Switzerland.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
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.
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
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Abstract copyright UK Data Service and data collection copyright owner.The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online. Main Topics: Hours worked in coal-mining for United Kingdom and Ireland coalfields 1900-13. Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research. Purposive selection/case studies Transcription of existing materials Compilation or synthesis of existing material
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Imports in the United Kingdom decreased to 79693 GBP Million in March from 80426 GBP Million in February of 2025. This dataset provides - United Kingdom Imports - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This release includes annual estimates of low carbon and renewable energy economy activity in the UK and constituent countries: turnover, employment, exports, imports, acquisitions, disposals and number of businesses.
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This dataset is about books. It has 6 rows and is filtered where the book subjects is National health services-Great Britain-Economic aspects. It features 9 columns including author, publication date, language, and book publisher.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The United Kingdom is the 9 most competitive nation in the world out of 140 countries ranked in the 2019 edition of the Global Competitiveness Report published by the World Economic Forum. This dataset provides the latest reported value for - United Kingdom Competitiveness Rank - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Leicester City Council has developed an Economic Action Plan for 2012 to 2020. The plan sets out an ambitious strategy for investment in the city?s economy until 2020. It outlines key actions where the city council will play a central role in driving economic growth for Leicester and builds on the substantial investment already made in the city over the past 15 years.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Data underlying comparisons of UK productivity against that of the remaining G7 countries.