Graph and download economic data for Economic Policy Uncertainty Index for United Kingdom (UKEPUINDXM) from Jan 1997 to Nov 2025 about academic data, uncertainty, United Kingdom, and indexes.

This dataset is about book series. It has 2 rows and is filtered where the books is Austerity politics and UK economic policy. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Dataset

This dataset was created by Adam Muhtar

Contents

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. London Boroughs),
  • NUTS2 (e.g. London),
  • NUTS1 (e.g. England), and
  • NUTS0 (e.g. United Kingdom) 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.

Key information about United Kingdom Policy Rate

• United Kingdom cash rate (Policy Rate: Month End: Base Rate) was set at 4.00 % pa in Nov 2025, compared with 4.00 % pa in the previous Oct 2025.
• UK Policy Rate averaged 5.50 % pa and is updated monthly, available from Jun 1972 to Nov 2025.
• The data reached an all-time high of 17.00 % pa in Jun 1980 and a record low of 0.10 % pa in Nov 2021.

• In the latest reports, UK Short Term Interest Rate: Month End: ICE LIBOR: 3 Months was reported at 0.09 % pa in Apr 2021.
• Its Long Term Interest Rate (Long Term Interest Rate: Month End: United Kingdom: Government Bond Yield: 10 Years) was reported at 4.48 % pa in Oct 2025.
• UK Exchange Rate against USD averaged 0.75 (USD/GBP) in Oct 2025.
• Its Real Effective Exchange Rate was 89.08 in Oct 2025.

Supplementary information files for the article Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises

Abstract: This paper studies the US and global economic fundamentals that exacerbate emerging stock markets volatility and can be considered as systemic risk factors increasing financial stability vulnerabilities. We apply the bivariate HEAVY system of daily and intra-daily volatility equations enriched with powers, leverage, and macro-effects that improve its forecasting accuracy significantly. Our macro-augmented asymmetric power HEAVY model estimates the inflammatory effect of US uncertainty and infectious disease news impact on equities alongside global credit and commodity factors on emerging stock index realized volatility. Our study further demonstrates the power of the economic uncertainty channel, showing that higher US policy uncertainty levels increase the leverage effects and the impact from the common macro-financial proxies on emerging markets’ financial volatility. Lastly, we provide evidence on the crucial role of both financial and health crisis events (the 2008 global financial turmoil and the recent Covid-19 pandemic) in raising markets’ turbulence and amplifying the volatility macro-drivers impact, as well.

The UK economy shrank by 0.1 percent in September 2025 after reporting zero growth in the previous month. Since a huge decline in GDP in April 2020, the UK economy has gradually recovered and is now slightly larger than it was before the COVID-19 pandemic. After the initial recovery from the pandemic, however, the UK economy has effectively flatlined, fluctuating between low growth and small contractions since 2022. Labour banking on growth to turn around fortunes in 2025 In February 2025, just over half a year after winning the last general election, the approval rating for the new Labour government fell to a low of -48 percent. Furthermore, the Prime Minister, Keir Starmer was not only less popular than the new Conservative leader, Kemi Badenoch, but also the leader of the Reform Party, Nigel Farage, whose party have surged in opinion polls recently. This remarkable decline in popularity for the new government is, in some part, due to a deliberate policy of making tough decisions early. Arguably, the most damaging of these policies was the withdrawal of the winter fuel allowance for some pensioners, although other factors such as a controversy about gifts and donations also hurt the government. While Labour aims to restore the UK's economic and political credibility in the long term, they will certainly hope for some good economic news sooner rather than later. Economy bounces back in 2024 after ending 2023 in recession Due to two consecutive quarters of negative economic growth, in late 2023 the UK economy ended the year in recession. After not growing at all in the second quarter of 2023, UK GDP fell by 0.1 percent in the third quarter, and then by 0.3 percent in the last quarter. For the whole of 2023, the economy grew by 0.4 percent compared to 2022, and for 2024 is forecast to have grown by 1.1 percent. During the first two quarters of 2024, UK GDP grew by 0.7 percent, and 0.4 percent, with this relatively strong growth followed by zero percent growth in the third quarter of the year. Although the economy had started to grow again by the time of the 2024 general election, this was not enough to save the Conservative government at the time. Despite usually seen as the best party for handling the economy, the Conservative's economic competency was behind that of Labour on the eve of the 2024 election.

This dataset is about book subjects. It has 4 rows and is filtered where the books is British economic policy, 1970-74 : two views. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

The provided dataset contains financial and operational metrics spanning from January to September 2020 for a company operating in the UK. It reflects key aspects like revenue, expenses, profit, customer count, transactions, stock price, market sentiment, loan approval rate, employee count, and marketing spend.

London, as a part of the UK, likely shares these trends but could have its specific nuances due to being a distinct economic hub within the country. In this period:

1. Financial Performance: The company's revenue fluctuates throughout the months, peaking at £65,090 in June and dipping to £35,184 in July. Despite varying expenses, profits generally stay positive, showcasing resilience in managing costs against revenue. London, being a financial center, might witness higher revenue or fluctuations due to specific industries concentrated there.

2. Customer Engagement: Customer metrics show variation. Customer count ranges from 131 to 426, with transactions varying from 57 to 188. This indicates fluctuations in customer activity, potentially influenced by market trends, seasonal patterns, or even regional events.

3. Stock Performance: Stock prices show fluctuation, hitting a high of 138.53 and a low of 78.79. Market sentiment, indicating public confidence, also fluctuates, potentially influencing stock prices. London's stock market might reflect similar volatility but could be influenced by the performance of prominent companies headquartered there.

4. Business Operations: Loan approval rates stay relatively stable between 70% to 97%, indicating a consistent approach to risk management. Employee count remains somewhat constant, which could signify stable operations without significant expansion or downsizing.

5. Marketing and Growth: The company's marketing spend varies, suggesting a willingness to adapt strategies based on performance or seasonal demands. London might have higher marketing expenditures due to the competitive market and the need to stand out amidst numerous businesses.

6. Economic Impact: Economic factors affecting the UK market—Brexit discussions, global economic shifts, or even local policies—might influence these metrics. London, as a financial center, could be more sensitive to global economic changes, impacting revenue, market sentiment, and stock prices more profoundly.

7. Covid-19 Influence: Given the timeframe (2020), the dataset might reflect the initial impact of the COVID-19 pandemic. The varying metrics could illustrate the company's adaptation strategies in response to changing consumer behaviors and economic uncertainties.

In London specifically, these trends might amplify due to its prominence in finance, trade, and services. The city's diverse industries and international connections might lead to more pronounced fluctuations in financial indicators like stock prices and market sentiment. Moreover, its position as a global economic hub might expose businesses to unique challenges and opportunities, potentially reflected in the provided dataset.

Understanding London's specific dynamics within the UK would require deeper analysis, considering sector-specific influences, competitive landscape, and regional economic factors. Nevertheless, this dataset offers insights into the company's adaptability and performance within the broader context of the UK's economic landscape.

Graph and download economic data for Bank of England Policy Rate in the United Kingdom (BOERUKA) from 1694 to 2016 about academic data, United Kingdom, and rate.

United Kingdom TE: RC: API: PI: OI: Insurance Policy Holders data was reported at 6,244.000 GBP mn in Mar 2018. This records an increase from the previous number of 5,584.000 GBP mn for Dec 2017. United Kingdom TE: RC: API: PI: OI: Insurance Policy Holders data is updated quarterly, averaging 7,574.000 GBP mn from Mar 1987 (Median) to Mar 2018, with 125 observations. The data reached an all-time high of 13,365.000 GBP mn in Jun 2008 and a record low of 2,485.000 GBP mn in Mar 1987. United Kingdom TE: RC: API: PI: OI: Insurance Policy Holders 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.AB023: ESA10: Resources and Uses: Total Economy: Primary Income.

This dataset is about book subjects. It has 4 rows and is filtered where the books is The politics of free markets : the rise of neoliberal economic policies in Britain, France, Germany, and the United States. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

• This briefing presents evidence on the socio-economic impact of COVID-19 on London and Londoners​
• Topics included in the briefing focus on recent data releases published in the preceding months that tell us how social policy issues are evolving in London since the start of the COVID-19 pandemic

For more on the health and demographic impacts see the Demographic Impact Briefing and for labour market impacts see Labour Market Analysis. A page linking to all Covid-19 related data and analyses can be found here.

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.

Yearly citation counts for the publication titled "Fiscal Policy Responses to the Economic Crisis in the UK and the US".

Policy rate, percent in the United Kingdom, October, 2025 The most recent value is 4 percent as of October 2025, no change compared to the previous value of 4 percent. Historically, the average for the United Kingdom from January 2000 to October 2025 is 2.46 percent. The minimum of 0.1 percent was recorded in March 2020, while the maximum of 6 percent was reached in February 2000. | TheGlobalEconomy.com

Graph and download economic data for Economic Policy Uncertainty Index for Europe (EUEPUINDXM) from Jan 1987 to Nov 2025 about Spain, academic data, Italy, uncertainty, France, Germany, United Kingdom, Europe, and indexes.

As part of a project exploring the impact of Thatcherite social and economic policies on the lives of British people, we have merged together key variables from the British Cohort Study so that longitudinal data analyses over several years and decades are more easily available. The variables included relate to housing, schooling, employment, offending and victimisation, welfare, social and political attitudes and similar variables. This exercise was repeated for the National Child Development Study so as to provide a point of comparison. The data are not being made available here, but we have provided a narrative count of how we merged these two longitudinal data sets so that each data set had a longitudinal version of some of the data from birth to the year 2012.

This grant follows on from two earlier ESRC-funded grants held by Stephen Farrall, and a British Academy seminar he co-organised with Colin Hay (a leading theorist of Thatcherism). The first grant was a scoping project, which assessed the extent to which it was possible to undertake more prolonged and in-depth investigations into the social, economic and cultural impacts of Thatcherite public policy on contemporary UK society, especially as these features relate to criminal justice policy. This earlier grant concluded that it was possible to undertake two further projects. The first of these (looking at regional level changes using repeated cross-sectional surveys) we have, with ESRC-funding, completed. The second project (and the one we are seeking funding for herein) would extend this enquiry to the individual level using longitudinal data (thereby ensuring that we do not fall foul of committing the ecological fallacy - that is assuming that because something operates at the national level, it also works in the same way for individuals). To do this we will use data from the British Cohort Study which is a longitudinal study of a group of men and women born in one week in 1970. The cohort (which numbers over 17,000 people) have been interviewed themselves on a number of times (at ages 10, 16, 21, 26, 29, 34, 38 and 42) and there have been interviews with their mothers and teachers when they were younger. They were asked a range of questions about their home lives, schooling, employment careers, social attitudes and, crucially for us, since we are interested in how these processes lead people to or away from crime, their victimisation, drug taking, arrest history and offending. We have spent a long time theorising how the social and economic policies of the 1980s and 1990s might have operated to alter the social environments in which these young people grew up. Moreover, our analyses of changes in social attitudes in the country at the time and the extent to which these may have differed between generations allows us to 'locate' this cohort's experiences and values in wider contexts. By relying, where and when appropriate to do so, on a similar cohort study which went before this one (the National Child Development Study, participants born in 1958), we can disentangle the complex changes which occur as people age. This means that we are much less likely to misinterpret what looks like significant changes, but which are just a facet of aging and 'growing up'.