The values of any financial assets held including both formal investments, such as bank or building society current or saving accounts, investment vehicles such as Individual Savings Accounts, endowments, stocks and shares, and informal savings.

The Gross Domestic Product (GDP) in the United Kingdom was worth 3380.85 billion US dollars in 2023, according to official data from the World Bank. The GDP value of the United Kingdom represents 3.21 percent of the world economy. This dataset provides the latest reported value for - United Kingdom GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Total wealth is the sum of the four components of wealth and is therefore net of all liabilities.

Median price paid for residential property in England and Wales, by property type and administrative geographies. Annual data.

This folder contains MATLAB and R software and data to accompany the paper "Sectoral slowdowns in the UK: Evidence from transmission probabilities and economic linkages" by E.F. Janssens and R.L. Lumsdaine published in the Journal of Applied Econometrics.

This version: Feb 2022. The following items are provided:

1. LICENSE AGREEMENT (CC BY-NC-SA 4.0): The software is distributed under a Creative Commons Attribution NonCommericial-ShareAlike (CC BY-NC-SA) 4.0 International Public License, available at https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode .
   The license agreement explains the terms and conditions under which you can use, share and adapt this Software.

2. DATA:

We have directly copied the original data into the Matlab workspace file 'workspace_2020_07_01.mat'. You don't have to do anything with this, the relevant scripts you run will load this data into Matlab for you. The original data sources are:

For the whom-to-whom matrices: https://www.ons.gov.uk/economy/nationalaccounts/uksectoraccounts/datasets/enhancedfinancialaccountsflowoffundstotalfinancialaccountsexperimentalstatistics Here we use what they label as 'the 2018 edition'.

For the total financial assets, liabilities and net worth https://www.ons.gov.uk/economy/nationalaccounts/uksectoraccounts/datasets/unitedkingdomeconomicaccountsflowoffunds/current Here we use the data released on the 31th of March 2020.

These data are made available under the Open Government License v3.0, so we are allowed to redistribute them.

We provide you these data in csv files, under the names 'enhanced_financialaccounts.csv' and 'financial_assets.csv', 'financial_liabilities.csv' and 'financial_networth.csv'. These are the same data as in 'workspace_2020_07_01.mat', which we elaborate on below:

'workspace_2020_07_01.mat' contains the following variables:

financialaccounts_matrix (as in 'enhanced_financialaccounts.csv'): this matrix is 144x90, which is because the initial data comes with 11 sectors (+unknown) and 90 time observations, and this matrix essentially stacks the financial flow matrices between all sectors. Later in our files we merge certain sectors and will end up with a total of 8 sectors (note it also lists NMMF which is a subsection of OFI so we get rid of that too, so there are actually only 10 sectors in this set already). These data are obtained from the enhanced financial accounts linked above. Goes from Jan 1997 to April 2019.

Flowoffundsbasedassets (as in 'financial_assets.csv'), Flowoffundsbasedliab (as in 'financial_liabilities.csv'), Flowoffundsbasednetworth (as in 'financial_networth.csv'): these matrices contain the total assets, total liabilities and total net worth obtained from the flow of funds data linked above. These have 10 different sectors and a longer time period (133 periods, note that the last values in the matrices are nan's which is why their length does not correspond to 133): goes from Jan 1987 to Jan 2020.

N: number of sectors in the financial accounts matrix = 12, but after merging and cleaning this will go to 8.

Sectors: string 1x12 containing all the sector names of the enhanced financial accounts data

T: number of time observations of the enhanced financial accounts matrix, equals 90

Time: months and year for each data observation in the enhanced financial accounts data (1x90 datetime datatype)

1. CODE:

This folder has three scripts you need to run to replicate the results in the paper. The code does not work if you deviate from this order. That is, you need to first run (i) before (ii) and (iii).

(i) NetworkAnalysis_new_fof.m:

This script generates the maximum likelihood estimates. Run this script.

Useful output: - p_i_mode_mode_alt_stdev: this matrix contains the mode and standard deviation of the MLE of p_i, corresponding to those in Table 1 of the paper. Use the second and third row of the matrix. Also in Table 3 and Table E1. - q_i_mode_mode_alt_stdev: this matrix contains the mode and standard deviation of the MLE of p_i, corresponding to those in Table 1 of the paper. Use the second and third row of the matrix. Also in Table 3 and Table E1. - R0c_mean_modealt_stdev: these statistics are reported in Table 1 - R0d_mean_modealt_stdev: these statistics are reported in Table 1 - pijs_mode_mle_alt: these are the values of the pijs reported in Table 1 - pijs_stdev_mle: these are the standard errors of the pijs reported in Table 1

Apart from these statistics, this script generates several figures given in the paper:

Figure C4 in the Online Appendix is figure 11 in the script. Figure C1 in the Online Appendix is made by figure 6 and 7 in the script. Figure C3 in the Online Appendix is made by figure 101 in the script.

Figure D1 in the Online Appendix is made by figure 23 in the script. Figure F3 in the Online Appendix is made by figure 12 and 13 in the script.

(ii) NetworkAnalysis_new_withpriors_fof.m:

This script generates the Bayesian estimates with scaling factor. Run this script.

Useful output: - pijs_mode_alt: reported in Table 3 - pijs_se: reported in Table 3 - prior_pijs_mean: reported in Table 2 - prior_pijs_se: reported in Table 2 - R0c_mean_mode_var: reported in Table 3 - R0d_mean_mode_var: reported in Table 3 - z_mean_mode_var: reported in Table 3 - n_mean_mode_var: reported in text

In addition, the script produces several figures.

Figure 3 of the main paper is figure 18 in the script. Figure F1 is figure 23 in the script.

(iii) NetworkAnalysis_new_withpriors_noscale_fof.m: This script generates the Bayesian estimates without the scaling factor (z=1). Run this script.

Useful output - pijs_mode_alt: reported in Table E1 - pijs_se: reported in Table E1 - R0c_mean_mode_var: reported in Table E1 - R0d_mean_mode_var: reported in Table E1

In addition, the script generates among others the following figure: Figure E1 is figure 23 in the script

United Kingdom's main stock market index, the GB100, fell to 8761 points on June 30, 2025, losing 0.43% from the previous session. Over the past month, the index has declined 0.15%, though it remains 7.28% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on July of 2025.

United Kingdom UK Banks: Income and Expenditure (IE): Net Income: Total data was reported at -1,643.000 GBP mn in Dec 2024. This records an increase from the previous number of -3,940.000 GBP mn for Sep 2024. United Kingdom UK Banks: Income and Expenditure (IE): Net Income: Total data is updated quarterly, averaging 3,473.000 GBP mn from Mar 1998 (Median) to Dec 2024, with 108 observations. The data reached an all-time high of 12,865.000 GBP mn in Dec 2009 and a record low of -8,602.000 GBP mn in Mar 2024. United Kingdom UK Banks: Income and Expenditure (IE): Net Income: Total 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.KB062: UK Banks Income and Capital Expenditure.

Central Bank Balance Sheet in the United Kingdom increased to 828692 GBP Million in June 25 from 826490 GBP Million in the previous week. This dataset provides - United Kingdom Central Bank Balance Sheet - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Annual and quarterly low-level aggregates of UK output gross value added (GVA) on a constant- and current-price basis.

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.

A dataset of vehicle MPG ratings and fuel cost calculations based on manufacturer, model, and fuel type.

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/" class="govuk-link">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" class="govuk-link">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 27 June 2025 and was updated with provisional data from completed transactions during May 2025.

The next release will be published 09:30 31 July 2025 and will be updated with provisional data from completed transactions during June 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" class="govuk-link">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.

A dataset of average pence per litre and per gallon petrol and diesel fuel prices in the UK regions including England, Scotland, Wales, and Northern Ireland.

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For further detailed information about methodology, users should consult the Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages.

Occupation data for 2021 and 2022
The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. The affected datasets have now been updated. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022

APS Well-Being Datasets
From 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the Integrated Household Survey. In 2015 these were discontinued. A separate set of well-being variables and a corresponding weighting variable have been added to the April-March APS person datasets from A11M12 onwards. Further information on the transition can be found in the Personal well-being in the UK: 2015 to 2016 article on the ONS website.

APS disability variables
Over time, there have been some updates to disability variables in the APS. An article explaining the quality assurance investigations on these variables that have been conducted so far is available on the ONS Methodology webpage.

• age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child
• family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family
• nationality and country of origin
• geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district
• health: including main health problem, and current and past health problems
• education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships
• industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from
• occupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant from
• system variables: including week number when interview took place and number of households at address

The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.