This dataset provides values for GOVERNMENT DEBT TO GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The Family Resources Survey (FRS) has been running continuously since 1992 to meet the information needs of the Department for Work and Pensions (DWP). It is almost wholly funded by DWP.

The FRS collects information from a large, and representative sample of private households in the United Kingdom (prior to 2002, it covered Great Britain only). The interview year runs from April to March.

The focus of the survey is on income, and how much comes from the many possible sources (such as employee earnings, self-employed earnings or profits from businesses, and dividends; individual pensions; state benefits, including Universal Credit and the State Pension; and other sources such as savings and investments). Specific items of expenditure, such as rent or mortgage, Council Tax and water bills, are also covered.

Many other topics are covered and the dataset has a very wide range of personal characteristics, at the adult or child, family and then household levels. These include education, caring, childcare and disability. The dataset also captures material deprivation, household food security and (new for 2021/22) household food bank usage.

The FRS is a national statistic whose results are published on the gov.uk website. It is also possible to create your own tables from FRS data, using DWP’s Stat Xplore tool. Further information can be found on the gov.uk Family Resources Survey webpage.

Secure Access FRS data
In addition to the standard End User Licence (EUL) version, Secure Access datasets, containing unrounded data and additional variables, are also available for FRS from 2005/06 onwards - see SN 9256. Prospective users of the Secure Access version of the FRS will need to fulfil additional requirements beyond those associated with the EUL datasets. Full details of the application requirements are available from http://ukdataservice.ac.uk/media/178323/secure_frs_application_guidance.pdf" style="background-color: rgb(255, 255, 255);">Guidance on applying for the Family Resources Survey: Secure Access.

FRS, HBAI and PI
The FRS underpins the related Households Below Average Income (HBAI) dataset, which focuses on poverty in the UK, and the related Pensioners' Incomes (PI) dataset. The EUL versions of HBAI and PI are held under SNs 5828 and 8503, respectively. The Secure Access versions are held under SN 7196 and 9257 (see above).

FRS 2023-24

Alongside the usual topics covered, the 2023-2024 FRS includes new variables on veterans (ex-armed forces, former regulars and reserves); care leavers (where young adults were previously living in care, during their teenage years); and, for the self-employed, length of time in that occupation. For doctors, we add clarifying variables for NHS vs private earnings streams. There are new variables on food support from friends/relatives, which complement the existing food bank and household food security set. 2023-2024 also includes Cost of Living Payment variables, including those on certain state benefits and the Warm Homes Discount scheme.

The achieved sample was over 16,500 households (28,500+ adults). A large majority of interviews were face-to-face with a minority being by telephone.

The BENUNIT table contains a raft of variables on the new material deprivation question set; see GOV.UK for background.

This version of the dataset (End User Licence) adds the DEBT table for the first time this year. The table contains responses on credit card debt, loan debt, hire purchase debt and store card debt.

Please send any feedback directly to the FRS Team Inbox: team.frs@dwp.gov.uk

Documentation

Many variables in the data files are fully labelled, but additional details can be found in the frs2324_variable_listing_eul.xlsx document.

Daily, weekly and monthly data showing seasonally adjusted and non-seasonally adjusted UK spending using debit and credit cards. These are official statistics in development. Source: CHAPS, Bank of England.

DOI Abstract copyright UK Data Service and data collection copyright owner. The project sought to further understanding of London's dynamic role within the economy of its region, and of England as a whole, between c.1300 and c.1600. It sought to clarify the parallels between the medieval and early modern periods and to explore the dynamics of change by assembling data relating to the development of trade networks over a 300 year period. Data derived from debt litigation has been used to measure the degree to which different parts of the country were united in a single economy and participated in regular trade with London at different dates. Analysis of 'detailed' debt cases has provided valuable insights into the content of trade and the mechanisms of exchange. Grain price series from London, provincial towns and rural manors have been used to explore the emergence of integrated regional and super-regional markets, and to chart the city's complex interaction with its agrarian hinterland and with other urban markets. The changing relations between London and England's provincial centres and the city's interaction with the dynamic urban and metropolitan economies of the north-west European mainland, have been investigated. Main Topics: Three principle types of information are contained in the data collection: i) data on debt and credit linkages; ii) details of commercial organisation; and iii) wheat price series. The data on debt and credit linkages and the details of commercial organisation are the product of sampling debt litigation contained in the records of England's Court of Common Pleas, for the Michaelmas law terms of 1329, 1424 and 1570, and also include debt cases for the Michaelmas law terms of 1500 and 1602 which detail the commodity or nature of obligation. The data as collected relate principally to London, the ten surrounding counties of Bedfordshire, Berkshire, Buckinghamshire, Essex, Hertfordshire, Kent, Middlesex, Northamptonshire, Oxfordshire and Surrey; and three more distant counties, Yorkshire, Staffordshire and Devon. Data can be analysed at the level of individual locality (village, town etc), county and region, and can be broken down by the occupation or status of debtors or creditors. The strength of this data is its abundance, its suitability for quantitative analysis, and the light it can shed upon patterns of commercial and related interaction between individuals, groups, towns and regions. It is most useful for illustrating the structure of relationships and their changes over time. The datasets do not provide national coverage, although individuals from every county in England are encountered. The wheat price series have been compiled from various manuscript and other unpublished sources and cover London between 1277 and 1640, Exeter between 1317 and 1640, Chester between 1378 and 1503, Canterbury between 1393 and 1502, and for twelve Bishopric of Winchester manors in the Thames valley and adjacent areas of southern England between 1208 and 1454. All these series have gaps of greater or lesser extent within the indicated spans, and there are significant variations in data quality between and within the series, necessitating great caution in their analysis and interpretation.

Net-Income-Applicable-To-Common-Shares Time Series for Greencoat UK Wind PLC. Greencoat UK Wind PLC specializes in renewables infrastructure investments in energy, wind generation assets and onshore and offshore wind farm projects with a capacity of over 10 megawatt. For offshore wind farms, the fund seeks to invest 40% of the Gross Asset Value at acquisition and where a utility company retains an equity interest for a lock-up period. The fund ensures that the total of short-term acquisition financing and long-term debt is between zero and 40% of Gross Asset Value at any time, with average total debt being between 20% and 30% in the longer term. It prefers to invest in projects and assets based in the United Kingdom. The fund seeks to acquire 100%, majority, or minority interests in individual wind farms.

Net-Buyback-Yield Time Series for Greencoat UK Wind PLC. Greencoat UK Wind PLC specializes in renewables infrastructure investments in energy, wind generation assets and onshore and offshore wind farm projects with a capacity of over 10 megawatt. For offshore wind farms, the fund seeks to invest 40% of the Gross Asset Value at acquisition and where a utility company retains an equity interest for a lock-up period. The fund ensures that the total of short-term acquisition financing and long-term debt is between zero and 40% of Gross Asset Value at any time, with average total debt being between 20% and 30% in the longer term. It prefers to invest in projects and assets based in the United Kingdom. The fund seeks to acquire 100%, majority, or minority interests in individual wind farms.