The economic impact to the United Kingdom caused by climate change is expected to be around *** percent of the GDP by 2100 following the current policies (SSP3-7.0). In case of a more strict mitigation (SSP1-2.6), the economic impact could be reduced by around five percentage points.

Weighted estimates from the voluntary fortnightly Business Insights and Conditions Survey (BICS) about financial performance, workforce, prices, trade, and business resilience. These are official statistics in development.

As of January 31, 2020, the United Kingdom (UK) is no longer a member of the European Union (EU). The UK left the EU without a trade deal, and has until the end of 2020 to determine the new framework of its trade relations with the EU. This means either a free trade agreement (FTA) will need to be struck between the two parties, or the UK will fall back on trading under the World Trade Organisation (WTO) rules. According to a study on the possible impact of these scenarios on GDP growth in the UK, after the transition period ends by the beginning of 2021, trading under WTO terms will lead to a decline of *** percent in UK GDP. Relative to this rate, if the UK trade with the EU under a FTA, the GDP is forecast to improve by * percent.

This statistic shows the economic contribution of the travel and tourism industry in the United Kingdom (UK) across various areas in 2017. Direct contribution to GDP amounted to **** billion U.S. dollars.

This page is no longer updated. It has been superseded by the Business insights and impacts on the UK economy dataset page (see link in Notices). It contains comprehensive weighted datasets for Wave 7 onwards. All future BICS datasets will be available there. The datasets on this page include mainly unweighted responses from the voluntary fortnightly business survey, which captures businesses’ responses on how their turnover, workforce prices, trade and business resilience have been affected in the two-week reference period, up to Wave 17.

According to a 2024 survey, ** percent of UK business decision makers believe the economy will benefit overall from a fossil fuel exit. The same survey also found that ** percent believed more jobs would be created.

The indicators and analysis presented in this bulletin are based on responses from the new voluntary fortnightly business survey, which captures businesses responses on how their turnover, workforce prices, trade and business resilience have been affected in the two week reference period. These data relate to the period 6 April 2020 to 19 April 2020.

Two papers that aim to complement Impact Evaluation Framework+ (and other guidance) by examining the sources, existing methods and concepts which surround the measurement of the impact of Interventions or Investments consistent with methods used to produce official Gross Value Added (GVA) estimates.

Source agency: Office for National Statistics

Designation: National Statistics

Language: English

Alternative title: Measuring the Economic Impact of an Intervention or Investment

Estimates from the voluntary fortnightly business survey (BICS) on topics such as trading status and workforce, by country and regional level. Official statistics in development.

As of November 2021 the overall cost of the United Kingdom's job retention scheme was 70 billion British pounds. The number of jobs furloughed on the scheme has been steadily declining since May 2020, with around 2.4 million jobs still in furlough by the end of October 2020.

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.

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.

United Kingdom Leading Economic Index data was reported at 75.100 2016=100 in Mar 2025. This records a decrease from the previous number of 75.400 2016=100 for Feb 2025. United Kingdom Leading Economic Index data is updated monthly, averaging 71.300 2016=100 from Mar 1970 (Median) to Mar 2025, with 661 observations. The data reached an all-time high of 101.300 2016=100 in Feb 2017 and a record low of 36.300 2016=100 in Dec 1974. United Kingdom Leading Economic Index data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United Kingdom – Table UK.The Conference Board: Leading Economic Index. [COVID-19-IMPACT]

Confidence intervals for weighted estimates from the voluntary fortnightly Business Insights and Conditions Survey (BICS) about financial performance, workforce, prices, trade, and business resilience. These are official statistics in development.

Underlying data from BIS Economics Paper no.11 'The economic consequences for the UK and the EU of completing the Single Market' [URN 11/517].

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.

A collection of data on the impact of Blue Book changes and decomposition of GDP revisions into current price and deflator effects.