[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.]

The UK economy grew by 0.7 percent in the first quarter of 2025, compared with 0.1 percent growth in the previous quarter. After ending 2023 in recession, the UK economy grew strongly in the first half of 2024, growing by 0.8 percent in Q1, and 0.4 percent in Q2, with growth slowing in the second half of the year. In the third quarter of 2020 the UK experienced record setting growth of 16.8 percent, which itself followed the record 20.3 percent contraction in Q2 2020. Growing economy key to Labour's plans Since winning the 2024 general election, the UK's Labour Party have seen their popularity fall substantially. In February 2025, the government's approval rating fell to a low of -54 percent, making them almost as disliked as the Conservatives just before the last election. A string of unpopular policies since taking office have taken a heavy toll on support for the government. Labour hope they can reverse their declining popularity by growing the economy, which has underperformed for several years, and when measured in GDP per capita, fell in 2023, and 2024. Steady labor market trends set to continue? After a robust 2022, the UK labor market remained resilient throughout 2023 and 2024. The unemployment rate at the end of 2024 was 4.4 percent, up from four percent at the start of the year, but still one of the lowest rates on record. While the average number of job vacancies has been falling since a May 2022 peak, there was a slight increase in January 2025 when compared with the previous month. The more concerning aspect of the labor market, from the government's perspective, are the high levels of economic inactivity due to long-term sickness, which reached a peak of 2.84 million in late 2023, and remained at high levels throughout 2024.

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;

Dataset Description

The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their topic.

The dataset holds 21,107 documents annotated with 20 labels:

topics = { "LABEL_0": "Analyst Update", "LABEL_1": "Fed | Central Banks", "LABEL_2": "Company | Product News", "LABEL_3": "Treasuries | Corporate Debt", "LABEL_4": "Dividend"… See the full description on the dataset page: https://huggingface.co/datasets/zeroshot/twitter-financial-news-topic.

United Kingdom UK: GDP: % of GDP: Gross Value Added: Industry data was reported at 18.574 % in 2017. This records an increase from the previous number of 17.985 % for 2016. United Kingdom UK: GDP: % of GDP: Gross Value Added: Industry data is updated yearly, averaging 20.001 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 27.892 % in 1990 and a record low of 17.830 % in 2014. United Kingdom UK: GDP: % of GDP: Gross Value Added: Industry 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: Share of GDP. Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

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

Quarterly estimates of national product, income and expenditure, sector accounts and balance of payments.

Measures, analysis, and research into the digital economy key.

United Kingdom UK: GDP: Growth: Gross Value Added: Industry data was reported at 3.053 % in 2017. This records an increase from the previous number of 1.452 % for 2016. United Kingdom UK: GDP: Growth: Gross Value Added: Industry data is updated yearly, averaging 1.098 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 4.640 % in 2010 and a record low of -10.086 % in 2009. United Kingdom UK: GDP: Growth: Gross Value Added: Industry 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: Annual Growth Rate. Annual growth rate for industrial value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

United Kingdom UK: Stocks Traded: Turnover Ratio of Domestic Shares data was reported at 146.431 % in 2008. This records an increase from the previous number of 102.632 % for 2007. United Kingdom UK: Stocks Traded: Turnover Ratio of Domestic Shares data is updated yearly, averaging 40.860 % from Dec 1975 (Median) to 2008, with 34 observations. The data reached an all-time high of 146.431 % in 2008 and a record low of 15.170 % in 1978. United Kingdom UK: Stocks Traded: Turnover Ratio of Domestic Shares 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: Financial Sector. Turnover ratio is the value of domestic shares traded divided by their market capitalization. The value is annualized by multiplying the monthly average by 12.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

The dataset was created as part of an ESRC-sponsored study, ‘British economic, social, and cultural interactions with Asia, 1760-1833’. It contains statistics relating to the trade and domestic finances of the monopolistic English East India Company primarily between 1755 and 1834, the year in which the Company ceased to function as a commercial organization. Until now quantitative data derived from original sources has only been available in time series for the Company’s trade and some aspects of its domestic finances for the years before 1760. But many of the details, patterns, and trends of trade and finance in the decades after 1760, a most important period when the Company fully embarked on the interlinked processes of military, political, and commercial expansion in Asia, have remained unclear. In creating this dataset, the aim was thus two-fold: i) to establish for the first time a set of statistics detailing the changing value, volume, and geographical structure of the East India Company’s overseas trade for the period when the Company began to exert imperial control over large parts of the Indian subcontinent; and ii) to generate select statistics relating to the Company’s domestic finances, thereby enabling analysis to be undertaken of a range of Company interactions with Britain’s economy and society.

United Kingdom UK: Research and Development Expenditure: % of GDP data was reported at 1.703 % in 2015. This records an increase from the previous number of 1.681 % for 2014. United Kingdom UK: Research and Development Expenditure: % of GDP data is updated yearly, averaging 1.637 % from Dec 1996 (Median) to 2015, with 20 observations. The data reached an all-time high of 1.703 % in 2015 and a record low of 1.558 % in 2004. United Kingdom UK: Research and Development Expenditure: % of GDP 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: Technology. Gloss domestic expenditures on research and development (R&D), expressed as a percent of GDP. They include both capital and current expenditures in the four main sectors: Business enterprise, Government, Higher education and Private non-profit. R&D covers basic research, applied research, and experimental development.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

This dataset contains news headlines relevant to key forex pairs: AUDUSD, EURCHF, EURUSD, GBPUSD, and USDJPY. The data was extracted from reputable platforms Forex Live and FXstreet over a period of 86 days, from January to May 2023. The dataset comprises 2,291 unique news headlines. Each headline includes an associated forex pair, timestamp, source, author, URL, and the corresponding article text. Data was collected using web scraping techniques executed via a custom service on a virtual machine. This service periodically retrieves the latest news for a specified forex pair (ticker) from each platform, parsing all available information. The collected data is then processed to extract details such as the article's timestamp, author, and URL. The URL is further used to retrieve the full text of each article. This data acquisition process repeats approximately every 15 minutes.

To ensure the reliability of the dataset, we manually annotated each headline for sentiment. Instead of solely focusing on the textual content, we ascertained sentiment based on the potential short-term impact of the headline on its corresponding forex pair. This method recognizes the currency market's acute sensitivity to economic news, which significantly influences many trading strategies. As such, this dataset could serve as an invaluable resource for fine-tuning sentiment analysis models in the financial realm.

We used three categories for annotation: 'positive', 'negative', and 'neutral', which correspond to bullish, bearish, and hold sentiments, respectively, for the forex pair linked to each headline. The following Table provides examples of annotated headlines along with brief explanations of the assigned sentiment.

Examples of Annotated Headlines


    Forex Pair
    Headline
    Sentiment
    Explanation




    GBPUSD 
    Diminishing bets for a move to 12400 
    Neutral
    Lack of strong sentiment in either direction


    GBPUSD 
    No reasons to dislike Cable in the very near term as long as the Dollar momentum remains soft 
    Positive
    Positive sentiment towards GBPUSD (Cable) in the near term


    GBPUSD 
    When are the UK jobs and how could they affect GBPUSD 
    Neutral
    Poses a question and does not express a clear sentiment


    JPYUSD
    Appropriate to continue monetary easing to achieve 2% inflation target with wage growth 
    Positive
    Monetary easing from Bank of Japan (BoJ) could lead to a weaker JPY in the short term due to increased money supply


    USDJPY
    Dollar rebounds despite US data. Yen gains amid lower yields 
    Neutral
    Since both the USD and JPY are gaining, the effects on the USDJPY forex pair might offset each other


    USDJPY
    USDJPY to reach 124 by Q4 as the likelihood of a BoJ policy shift should accelerate Yen gains 
    Negative
    USDJPY is expected to reach a lower value, with the USD losing value against the JPY


    AUDUSD

    <p>RBA Governor Lowe’s Testimony High inflation is damaging and corrosive </p>

    Positive
    Reserve Bank of Australia (RBA) expresses concerns about inflation. Typically, central banks combat high inflation with higher interest rates, which could strengthen AUD.

Moreover, the dataset includes two columns with the predicted sentiment class and score as predicted by the FinBERT model. Specifically, the FinBERT model outputs a set of probabilities for each sentiment class (positive, negative, and neutral), representing the model's confidence in associating the input headline with each sentiment category. These probabilities are used to determine the predicted class and a sentiment score for each headline. The sentiment score is computed by subtracting the negative class probability from the positive one.

United Kingdom UK: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: French Polynesia data was reported at 0.067 USD mn in Jun 2018. This records a decrease from the previous number of 0.139 USD mn for Mar 2018. United Kingdom UK: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: French Polynesia data is updated quarterly, averaging 0.070 USD mn from Dec 1961 (Median) to Jun 2018, with 119 observations. The data reached an all-time high of 0.937 USD mn in Sep 2006 and a record low of 0.002 USD mn in Dec 1990. United Kingdom UK: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: French Polynesia data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United Kingdom – Table UK.IMF.DOT: Imports: cif: by Country: Quarterly.

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 data are divided into 'enterprises' and 'local units'. An enterprise is the overall business organisation. A local unit is a 'plant', such as a factory, shop, branch, etc. In some cases, an enterprise will only have one local unit, and in other cases (such as a bank or supermarket), an enterprise will own many local units.

For each company, data are available on employment, turnover, foreign ownership, and industrial activity based on Standard Industrial Classification (SIC)92, SIC 2003 or SIC 2007. Year of 'birth' (company start-up date) and 'death' (termination date) are also included, as well as postcodes for both enterprises and their local units. Previously only pseudo-anonymised postcodes were available but now all postcodes are real.

The ONS is continually developing the BSD, and so researchers are strongly recommended to read all documentation pertaining to this dataset before using the 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.

Latest Edition Information
For the sixteenth edition (March 2024), data files and a variable catalogue document for 2023 have been added.

This statistic displays the economic benefits of Big Data analytics in the United Kingdom (UK) from 2015 to 2020, by industry. The report estimated that manufacturing would realize the largest benefits amounting to roughly 57.69 billion British pounds. Professional services were expected to gain benefits amounting to roughly 34.2 billion British pounds.

Key information about United Kingdom Real GDP Growth

• The Gross Domestic Product (GDP) in United Kingdom expanded 0.4 % YoY in Dec 2022, following a growth of 1.9 % in the previous quarter.
• Real GDP Growth YoY data in UK is updated quarterly, available from Mar 1956 to Dec 2022, with an average rate of 2.2 %.
• The data reached an all-time high of 24.4 % in Jun 2021 and a record low of -22.6 % in Jun 2020.

• In the latest reports, Nominal GDP of UK reached 744.4 USD bn in Dec 2022.
• Its GDP deflator (implicit price deflator) increased 6.6 % in Dec 2022.
• GDP Per Capita in UK reached 46,373.9 USD in Dec 2021.
• Its Gross Savings Rate was measured at 16.3 % in Sep 2022.
• For Nominal GDP contributions, Investment accounted for 16.7 % in Sep 2022.
• Public Consumption accounted for 20.8 % in Sep 2022.
• Private Consumption accounted for 62.9 % in Sep 2022.

Consumer Confidence in the United Kingdom increased to -18 points in June from -20 points in May 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.