Money Supply M0 in the United Kingdom increased to 101435 GBP Million in September from 100939 GBP Million in August of 2025. This dataset provides - United Kingdom Money Supply M0 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Money Supply M2 in the United Kingdom decreased to 3133659 GBP Million in August from 3137956 GBP Million in July of 2025. This dataset provides - United Kingdom Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset is about book series. It has 1 row and is filtered where the books is Money and banking in the UK : a history. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Key information about United Kingdom Foreign Exchange Reserves

• United Kingdom Foreign Exchange Reserves was measured at 113.8 USD bn in Feb 2025, compared with 112.5 USD bn in the previous month
• UK Foreign Exchange Reserves: USD mn data is updated monthly, available from Jul 1999 to Feb 2025
• The data reached an all-time high of 147.5 USD bn in Jan 2019 and a record low of 23.0 USD bn in Sep 1999

CEIC calculates Foreign Exchange Reserves as the sum of Foreign Currency Reserves and Other Reserve Assets, which include other financial instruments denominated in foreign currency and converts it into USD. The Bank of England provides Foreign Exchange Reserves in USD. Foreign Exchange Reserves excludes Bank of England Foreign Exchange Reserves, as they are not considered part of UK Official Reserve Assets. However, Bank of England foreign currency assets may be used in case of foreign exchange intervention for monetary policy objectives.


Further information about United Kingdom Foreign Exchange Reserves

• In the latest reports, UK Foreign Exchange Reserves equaled 1.7 Months of Import in Dec 2024.
• Its Money Supply M2 increased 3,878.3 USD bn YoY in Jan 2025.
• UK Domestic Credit reached 4,866.2 USD bn in Dec 2024, representing an drop of 1.3 % YoY.
• The country's Non Performing Loans Ratio stood at 1.0 % in Dec 2022, compared with the ratio of 1.0 % in the previous year.
• Household Debt of UK reached 81.6 % in Sep 2024, accounting for 81.6 % of the country's Nominal GDP.

United Kingdom UK: Broad Money: Average Annual Growth Rate data was reported at 8.273 % in 2017. This records a decrease from the previous number of 8.717 % for 2016. United Kingdom UK: Broad Money: Average Annual Growth Rate data is updated yearly, averaging 9.822 % from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 89.331 % in 1987 and a record low of -28.630 % in 1992. United Kingdom UK: Broad Money: Average Annual Growth Rate 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: Money Supply. Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper.; ; International Monetary Fund, International Financial Statistics and data files.; ;

Income Support (IS) Claimants - people aged over 16 working less than 16 a week and having less money coming in than the law says they need to live on. https://www.gov.uk/government/collections/dwp-statistical-summaries Source: Department for Work and Pensions (DWP) Publisher: Department for Work and Pensions (DWP) Geographies: Lower Layer Super Output Area (LSOA), Middle Layer Super Output Area (MSOA), Ward, Local Authority District (LAD), County/Unitary Authority, Government Office Region (GOR), National Geographic coverage: Great Britain Time coverage: 1999 to current Type of data: Administrative data Notes: Income Support can be paid to a person who: is in Great Britain; is aged 16 or over; is not working 16 hours or more a week; has less money coming in than the law says they need to live on.

These National Statistics provide monthly estimates of the number of residential and non-residential property transactions in the UK and its constituent countries. National Statistics are accredited official statistics.

England and Northern Ireland statistics are based on information submitted to the HM Revenue and Customs (HMRC) Stamp Duty Land Tax (SDLT) database by taxpayers on SDLT returns.

Land and Buildings Transaction Tax (LBTT) replaced SDLT in Scotland from 1 April 2015 and this data is provided to HMRC by https://www.revenue.scot/">Revenue Scotland to continue the time series.

Land Transaction Tax (LTT) replaced SDLT in Wales from 1 April 2018. To continue the time series, the https://gov.wales/welsh-revenue-authority">Welsh Revenue Authority (WRA) have provided HMRC with a monthly data feed of LTT transactions since July 2021.

LTT figures for the latest month are estimated using a grossing factor based on data for the most recent and complete financial year. Until June 2021, LTT transactions for the latest month were estimated by HMRC based upon year on year growth in line with other UK nations.

LTT transactions up to the penultimate month are aligned with LTT statistics.

Go to Stamp Duty Land Tax guidance for the latest rates and information.

Go to Stamp Duty Land Tax rates from 1 December 2003 to 22 September 2022 and Stamp Duty: rates on land transfers before December 2003 for historic rates.

The latest release was published 09:30 30 September 2025 and was updated with provisional data from completed transactions during August 2025.

The next release will be published 09:30 31 October 2025 and will be updated with provisional data from completed transactions during September 2025.

https://webarchive.nationalarchives.gov.uk/ukgwa/20240320184933/https://www.gov.uk/government/statistics/monthly-property-transactions-completed-in-the-uk-with-value-40000-or-above">Archive versions of the Monthly property transactions completed in the UK with value of £40,000 or above are available via the UK Government Web Archive, from the National Archives.

The money owed to HMRC that has been written off. Updated: monthly.

School level revenue balances for all local authority maintained schools by local authority. These tatistics describing the total revenue balances (showing both committed and uncommitted revenue balances) and also the total revenue balances as a proportion of the total revenue income for LA maintained schools. Tables from 1990/00 onwards available on Department for Education website. A schools total revenue income for the year includes all revenue funding available to the year as well as any additional income generated by the school. This does not include any revenue balances carried forward from previous years. Please note that although figures are shown here for committed and uncommitted balances there is considerable variation in how these are defined at local level meaning that at national level this comparison is not consistent or meaningful. Great caution should therefore be used in interpreting these figures. The tables form part of annual series of school balances statistics which have been published on the Department's Every Child Matters website.

This sample dataset includes information for five different SMEs across various locations. The data includes the SME's capital, turnover, pre-tax profit, tax, and number of employees for both 2018 and 2019.

Please note that the data provided is completely random and is for illustrative purposes only. In practice, the data for a particular SME would need to be based on actual financial and business metrics.

United Kingdom UK: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Poorest 40%: % of Population Aged 15+ data was reported at 94.474 % in 2017. This records a decrease from the previous number of 98.084 % for 2014. United Kingdom UK: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Poorest 40%: % of Population Aged 15+ data is updated yearly, averaging 96.649 % from Dec 2011 (Median) to 2017, with 3 observations. The data reached an all-time high of 98.084 % in 2014 and a record low of 94.474 % in 2017. United Kingdom UK: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Poorest 40%: % of Population Aged 15+ 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: Bank Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (poorest 40%, share of population ages 15+).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

The UK government's revenue from environmental taxes (including energy, transport and pollution or resource taxes), 1997 to 2024 (where available).

United Kingdom Money Supply M0: Notes & Coins data was reported at 98,101.000 GBP mn in Mar 2025. This records an increase from the previous number of 97,617.000 GBP mn for Feb 2025. United Kingdom Money Supply M0: Notes & Coins data is updated monthly, averaging 25,208.500 GBP mn from Jun 1969 (Median) to Mar 2025, with 670 observations. The data reached an all-time high of 98,756.000 GBP mn in Dec 2024 and a record low of 3,536.000 GBP mn in Jun 1969. United Kingdom Money Supply M0: Notes & Coins data remains active status in CEIC and is reported by Bank of England. The data is categorized under Global Database’s United Kingdom – Table UK.KA001: Money Stock.

According to Cognitive Market Research, the global AI Training Dataset Market size will be USD 2962.4 million in 2025. It will expand at a compound annual growth rate (CAGR) of 28.60% from 2025 to 2033.

North America held the major market share for more than 37% of the global revenue with a market size of USD 1096.09 million in 2025 and will grow at a compound annual growth rate (CAGR) of 26.4% from 2025 to 2033.
Europe accounted for a market share of over 29% of the global revenue, with a market size of USD 859.10 million.
APAC held a market share of around 24% of the global revenue with a market size of USD 710.98 million in 2025 and will grow at a compound annual growth rate (CAGR) of 30.6% from 2025 to 2033.
South America has a market share of more than 3.8% of the global revenue, with a market size of USD 112.57 million in 2025 and will grow at a compound annual growth rate (CAGR) of 27.6% from 2025 to 2033.
Middle East had a market share of around 4% of the global revenue and was estimated at a market size of USD 118.50 million in 2025 and will grow at a compound annual growth rate (CAGR) of 27.9% from 2025 to 2033.
Africa had a market share of around 2.20% of the global revenue and was estimated at a market size of USD 65.17 million in 2025 and will grow at a compound annual growth rate (CAGR) of 28.3% from 2025 to 2033.
Data Annotation category is the fastest growing segment of the AI Training Dataset Market

Market Dynamics of AI Training Dataset Market

Key Drivers for AI Training Dataset Market

Government-Led Open Data Initiatives Fueling AI Training Dataset Market Growth

In recent years, Government-initiated open data efforts have strongly driven the development of the AI Training Dataset Market through offering affordable, high-quality datasets that are vital in training sound AI models. For instance, the U.S. government's drive for openness and innovation can be seen through portals such as Data.gov, which provides an enormous collection of datasets from many industries, ranging from healthcare, finance, and transportation. Such datasets are basic building blocks in constructing AI applications and training models using real-world data. In the same way, the platform data.gov.uk, run by the U.K. government, offers ample datasets to aid AI research and development, creating an environment that is supportive of technological growth. By releasing such information into the public domain, governments not only enhance transparency but also encourage innovation in the AI industry, resulting in greater demand for training datasets and helping to drive the market's growth.

India's IndiaAI Datasets Platform Accelerates AI Training Dataset Market Growth

India's upcoming launch of the IndiaAI Datasets Platform in January 2025 is likely to greatly increase the AI Training Dataset Market. The project, which is part of the government's ?10,000 crore IndiaAI Mission, will establish an open-source repository similar to platforms such as HuggingFace to enable developers to create, train, and deploy AI models. The platform will collect datasets from central and state governments and private sector organizations to provide a wide and rich data pool. Through improved access to high-quality, non-personal data, the platform is filling an important requirement for high-quality datasets for training AI models, thus driving innovation and development in the AI industry. This public initiative reflects India's determination to become a global AI hub, offering the infrastructure required to facilitate startups, researchers, and businesses in creating cutting-edge AI solutions. The initiative not only simplifies data access but also creates a model for public-private partnerships in AI development.

Restraint Factor for the AI Training Dataset Market

Data Privacy Regulations Impeding AI Training Dataset Market Growth

Strict data privacy laws are coming up as a major constraint in the AI Training Dataset Market since governments across the globe are establishing legislation to safeguard personal data. In the European Union, explicit consent for using personal data is required under the General Data Protection Regulation (GDPR), reducing the availability of datasets for training AI. Likewise, the data protection regulator in Brazil ordered Meta and others to stop the use of Brazilian personal data in training AI models due to dangers to individuals' funda...

This dataset is about companies. It has 1 row and is filtered where the company is Virgin Money UK. It features 2 columns including CEO gender.

Local authorities have an obligation under the Open Government Licence, for public sector information to be freely accessible and in a reusable format. In addition to this we want to show how the council works and how tax payers' money is spent.

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.