Annual data on death registrations by single year of age for the UK (1974 onwards) and England and Wales (1963 onwards).

The National Child Development Study (NCDS) is a continuing longitudinal study that seeks to follow the lives of all those living in Great Britain who were born in one particular week in 1958. The aim of the study is to improve understanding of the factors affecting human development over the whole lifespan.

The NCDS has its origins in the Perinatal Mortality Survey (PMS) (the original PMS study is held at the UK Data Archive under SN 2137). This study was sponsored by the National Birthday Trust Fund and designed to examine the social and obstetric factors associated with stillbirth and death in early infancy among the 17,000 children born in England, Scotland and Wales in that one week. Selected data from the PMS form NCDS sweep 0, held alongside NCDS sweeps 1-3, under SN 5565.

Survey and Biomeasures Data (GN 33004):
To date there have been nine attempts to trace all members of the birth cohort in order to monitor their physical, educational and social development. The first three sweeps were carried out by the National Children's Bureau, in 1965, when respondents were aged 7, in 1969, aged 11, and in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, also carried out by the National Children's Bureau, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS moved to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS). The fifth sweep was carried out in 1991, when respondents were aged 33 (held under SN 5567). For the sixth sweep, conducted in 1999-2000, when respondents were aged 42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which was also conducted by CLS (and held under GN 33229). The seventh sweep was conducted in 2004-2005 when the respondents were aged 46 (held under SN 5579), the eighth sweep was conducted in 2008-2009 when respondents were aged 50 (held under SN 6137) and the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669).

Four separate datasets covering responses to NCDS over all sweeps are available. National Child Development Deaths Dataset: Special Licence Access (SN 7717) covers deaths; National Child Development Study Response and Outcomes Dataset (SN 5560) covers all other responses and outcomes; National Child Development Study: Partnership Histories (SN 6940) includes data on live-in relationships; and National Child Development Study: Activity Histories (SN 6942) covers work and non-work activities. Users are advised to order these studies alongside the other waves of NCDS.

From 2002-2004, a Biomedical Survey was completed and is available under End User Licence (EUL) (SN 8731) and Special Licence (SL) (SN 5594). Proteomics analyses of blood samples are available under SL SN 9254.

Linked Geographical Data (GN 33497):
A number of geographical variables are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies.

Linked Administrative Data (GN 33396):
A number of linked administrative datasets are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. These include a Deaths dataset (SN 7717) available under SL and the Linked Health Administrative Datasets (SN 8697) available under Secure Access.

Additional Sub-Studies (GN 33562):
In addition to the main NCDS sweeps, further studies have also been conducted on a range of subjects such as parent migration, unemployment, behavioural studies and respondent essays. The full list of NCDS studies available from the UK Data Service can be found on the NCDS series access data webpage.

How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
For information on how to access biomedical data from NCDS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

Further information about the full NCDS series can be found on the Centre for Longitudinal Studies website.
The National Child Development Deaths Dataset, 1958-2014: Special Licence Access contains data on known deaths among members of the NCDS birth cohort from 1958 to 2013. Information on deaths has been taken from the records maintained by the organisations responsible for the study over the life time of the study: the National Birthday Trust Fund, the National Children’s Bureau (NCB), the Social Statistics Research Unit (SSRU) and the CLS. The information has been gleaned from a variety of sources, including death certificates and other information from the National Health Service Central Register (NHSCR), and from relatives and friends during survey activities and cohort maintenance work by telephone, letter and e-mail. It includes all deaths up to 31st December 2013. In only 6 cases are the date of death unknown. By the end of December 8.7 per cent of the cohort were known to have died.

The National Child Development Study Response and Outcomes Dataset, 1958-2013 (SN 5560) covers other responses and outcomes of the cohort members and should be used alongside this dataset.

For the 3rd edition (July 2018) an updated version of the data was deposited. The new edition includes data on known deaths among members of the National Child Development Study (NCDS) birth cohort up to 2016. The user guide has also been updated.

Annual data on deaths registered by age, sex and selected underlying cause of death. Tables also provide both mortality rates and numbers of deaths over time.

Provisional counts of the number of deaths registered in England and Wales, by age, sex, region and Index of Multiple Deprivation (IMD), in the latest weeks for which data are available.

For the week ending March 7, 2025, weekly deaths in England and Wales were 124 below the number expected, compared with 460 fewer than expected in the previous week. In late 2022, and through early 2023, excess deaths were elevated for a number of weeks, with the excess deaths figure for the week ending January 13, 2023, the highest since February 2021. In the middle of April 2020, at the height of the Coronavirus (COVID-19) pandemic, there were almost 12,000 excess deaths a week recorded in England and Wales. It was not until two months later, in the week ending June 19, 2020, that the number of deaths began to be lower than the five-year average for the corresponding week. Most deaths since 1918 in 2020 In 2020, there were 689,629 deaths in the United Kingdom, making that year the deadliest since 1918, at the height of the Spanish influenza pandemic. As seen in the excess death figures, April 2020 was by far the worst month in terms of deaths during the pandemic. The weekly number of deaths for weeks 16 and 17 of that year were 22,351, and 21,997 respectively. Although the number of deaths fell to more usual levels for the rest of that year, a winter wave of the disease led to a high number of deaths in January 2021, with 18,676 deaths recorded in the fourth week of that year. For the whole of 2021, there were 667,479 deaths in the UK, 22,150 fewer than in 2020. Life expectancy in the UK goes into reverse In 2022, life expectancy at birth for women in the UK was 82.6 years, while for men it was 78.6 years. This was the lowest life expectancy in the country for ten years, and came after life expectancy improvements stalled throughout the 2010s, and then declined from 2020 onwards. There is also quite a significant regional difference in life expectancy in the UK. In the London borough of Kensington and Chelsea, for example, the life expectancy for men was 81.5 years, and 86.5 years for women. By contrast, in Blackpool, in North West England, male life expectancy was just 73.1 years, while for women life expectancy was lowest in Glasgow, at 78 years.

Annual UK and constituent country figures for births, deaths, marriages, divorces, civil partnerships and civil partnership dissolutions.

Annual data on the number of deaths registered in England and Wales by age group, sex, year and underlying cause of death, as defined using the International Classification of Diseases, Tenth Revision.

Mean, median and modal ages at death in the UK and its constituent countries, 2001 to 2003 and 2016 to 2018.

This database that can be used for macro-level analysis of road accidents on interurban roads in Europe. Through the variables it contains, road accidents can be explained using variables related to economic resources invested in roads, traffic, road network, socioeconomic characteristics, legislative measures and meteorology. This repository contains the data used for the analysis carried out in the papers:

1. Calvo-Poyo F., Navarro-Moreno J., de Oña J. (2020) Road Investment and Traffic Safety: An International Study. Sustainability 12:6332. https://doi.org/10.3390/su12166332

2. Navarro-Moreno J., Calvo-Poyo F., de Oña J. (2022) Influence of road investment and maintenance expenses on injured traffic crashes in European roads. Int J Sustain Transp 1–11. https://doi.org/10.1080/15568318.2022.2082344

3. Navarro-Moreno, J., Calvo-Poyo, F., de Oña, J. (2022) Investment in roads and traffic safety: linked to economic development? A European comparison. Environ. Sci. Pollut. Res. https://doi.org/10.1007/s11356-022-22567

The file with the database is available in excel.

DATA SOURCES

The database presents data from 1998 up to 2016 from 20 european countries: Austria, Belgium, Croatia, Czechia, Denmark, Estonia, Finland, France, Germany, Ireland, Italy, Latvia, Netherlands, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden and United Kingdom. Crash data were obtained from the United Nations Economic Commission for Europe (UNECE) [2], which offers enough level of disaggregation between crashes occurring inside versus outside built-up areas.

With reference to the data on economic resources invested in roadways, deserving mention –given its extensive coverage—is the database of the Organisation for Economic Cooperation and Development (OECD), managed by the International Transport Forum (ITF) [1], which collects data on investment in the construction of roads and expenditure on their maintenance, following the definitions of the United Nations System of National Accounts (2008 SNA). Despite some data gaps, the time series present consistency from one country to the next. Moreover, to confirm the consistency and complete missing data, diverse additional sources, mainly the national Transport Ministries of the respective countries were consulted. All the monetary values were converted to constant prices in 2015 using the OECD price index.

To obtain the rest of the variables in the database, as well as to ensure consistency in the time series and complete missing data, the following national and international sources were consulted:

• Eurostat [3]
• Directorate-General for Mobility and Transport (DG MOVE). European Union [4]
• The World Bank [5]
• World Health Organization (WHO) [6]
• European Transport Safety Council (ETSC) [7]
• European Road Safety Observatory (ERSO) [8]
• European Climatic Energy Mixes (ECEM) of the Copernicus Climate Change [9]
• EU BestPoint-Project [10]
• Ministerstvo dopravy, República Checa [11]
• Bundesministerium für Verkehr und digitale Infrastruktur, Alemania [12]
• Ministerie van Infrastructuur en Waterstaat, Países Bajos [13]
• National Statistics Office, Malta [14]
• Ministério da Economia e Transição Digital, Portugal [15]
• Ministerio de Fomento, España [16]
• Trafikverket, Suecia [17]
• Ministère de l’environnement de l’énergie et de la mer, Francia [18]
• Ministero delle Infrastrutture e dei Trasporti, Italia [19–25]
• Statistisk sentralbyrå, Noruega [26-29]
• Instituto Nacional de Estatística, Portugal [30]
• Infraestruturas de Portugal S.A., Portugal [31–35]
• Road Safety Authority (RSA), Ireland [36]

DATA BASE DESCRIPTION

The database was made trying to combine the longest possible time period with the maximum number of countries with complete dataset (some countries like Lithuania, Luxemburg, Malta and Norway were eliminated from the definitive dataset owing to a lack of data or breaks in the time series of records). Taking into account the above, the definitive database is made up of 19 variables, and contains data from 20 countries during the period between 1998 and 2016. Table 1 shows the coding of the variables, as well as their definition and unit of measure.

Table. Database metadata

| Code | Variable and unit | | fatal_pc_km | Fatalities per billion passenger-km | | fatal_mIn | Fatalities per million inhabitants | | accid_adj_pc_km | Accidents per billion passenger-km | | p_km | Billions of passenger-km | | croad_inv_km | Investment in roads construction per kilometer, €/km (2015 constant prices) | | croad_maint_km | Expenditure on roads maintenance per kilometer €/km (2015 constant prices) | | prop_motorwa | Proportion of motorways over the total road network (%) | | populat | Population, in millions of inhabitants | | unemploy | Unemployment rate (%) | | petro_car | Consumption of gasolina and petrol derivatives (tons), per tourism | | alcohol | Alcohol consumption, in liters per capita (age > 15) | | mot_index | Motorization index, in cars per 1,000 inhabitants | | den_populat | Population density, inhabitants/km2 | | cgdp | Gross Domestic Product (GDP), in € (2015 constant prices) | | cgdp_cap | GDP per capita, in € (2015 constant prices) | | precipit | Average depth of rain water during a year (mm) | | prop_elder | Proportion of people over 65 years (%) | | dps | Demerit Point System, dummy variable (0: no; 1: yes) | | freight | Freight transport, in billions of ton-km |

ACKNOWLEDGEMENTS

This database was carried out in the framework of the project “Inversión en carreteras y seguridad vial: un análisis internacional (INCASE)”, financed by: FEDER/Ministerio de Ciencia, Innovación y Universidades–Agencia Estatal de Investigación/Proyecto RTI2018-101770-B-I00, within Spain´s National Program of R+D+i Oriented to Societal Challenges.

Moreover, the authors would like to express their gratitude to the Ministry of Transport, Mobility and Urban Agenda of Spain (MITMA), and the Federal Ministry of Transport and Digital Infrastructure of Germany (BMVI) for providing data for this study.

REFERENCES

1. International Transport Forum OECD iLibrary | Transport infrastructure investment and maintenance.

2. United Nations Economic Commission for Europe UNECE Statistical Database Available online: https://w3.unece.org/PXWeb2015/pxweb/en/STAT/STAT_40-TRTRANS/?rxid=18ad5d0d-bd5e-476f-ab7c-40545e802eeb (accessed on Apr 28, 2020).

3. European Commission Database - Eurostat Available online: https://ec.europa.eu/eurostat/data/database (accessed on Apr 28, 2021).

4. Directorate-General for Mobility and Transport. European Commission EU Transport in figures - Statistical Pocketbooks Available online: https://ec.europa.eu/transport/facts-fundings/statistics_en (accessed on Apr 28, 2021).

5. World Bank Group World Bank Open Data | Data Available online: https://data.worldbank.org/ (accessed on Apr 30, 2021).

6. World Health Organization (WHO) WHO Global Information System on Alcohol and Health Available online: https://apps.who.int/gho/data/node.main.GISAH?lang=en (accessed on Apr 29, 2021).

7. European Transport Safety Council (ETSC) Traffic Law Enforcement across the EU - Tackling the Three Main Killers on Europe’s Roads; Brussels, Belgium, 2011;

8. Copernicus Climate Change Service Climate data for the European energy sector from 1979 to 2016 derived from ERA-Interim Available online: https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-european-energy-sector?tab=overview (accessed on Apr 29, 2021).

9. Klipp, S.; Eichel, K.; Billard, A.; Chalika, E.; Loranc, M.D.; Farrugia, B.; Jost, G.; Møller, M.; Munnelly, M.; Kallberg, V.P.; et al. European Demerit Point Systems : Overview of their main features and expert opinions. EU BestPoint-Project 2011, 1–237.

10. Ministerstvo dopravy Serie: Ročenka dopravy; Ročenka dopravy; Centrum dopravního výzkumu: Prague, Czech Republic;

11. Bundesministerium für Verkehr und digitale Infrastruktur Verkehr in Zahlen 2003/2004; Hamburg, Germany, 2004; ISBN 3871542946.

12. Bundesministerium für Verkehr und digitale Infrastruktur Verkehr in Zahlen 2018/2019. In Verkehrsdynamik; Flensburg, Germany, 2018 ISBN 9783000612947.

13. Ministerie van Infrastructuur en Waterstaat Rijksjaarverslag 2018 a Infrastructuurfonds; The Hague, Netherlands, 2019; ISBN 0921-7371.

14. Ministerie van Infrastructuur en Milieu Rijksjaarverslag 2014 a Infrastructuurfonds; The Hague, Netherlands, 2015; ISBN 0921- 7371.

15. Ministério da Economia e Transição Digital Base de Dados de Infraestruturas - GEE Available online: https://www.gee.gov.pt/pt/publicacoes/indicadores-e-estatisticas/base-de-dados-de-infraestruturas (accessed on Apr 29, 2021).

16. Ministerio de Fomento. Dirección General de Programación Económica y Presupuestos. Subdirección General de Estudios Económicos y Estadísticas Serie: Anuario estadístico; NIPO 161-13-171-0; Centro de Publicaciones. Secretaría General Técnica. Ministerio de Fomento: Madrid, Spain;

17. Trafikverket The Swedish Transport Administration Annual report: 2017; 2018; ISBN 978-91-7725-272-6.

18. Ministère de l’Équipement, du T. et de la M. Mémento de statistiques des transports 2003; Ministère de l’environnement de l’énergie et de la mer, 2005;

19. Ministero delle Infrastrutture e dei Trasporti Conto Nazionale delle Infrastrutture e dei Trasporti Anno 2000; Istituto Poligrafico e Zecca dello Stato: Roma, Italy, 2001;

20. Ministero delle Infrastrutture e dei Trasporti Conto nazionale dei trasporti 1999. 2000.

21. Generale, D.; Informativi, S. delle Infrastrutture e dei Trasporti Anno 2004.

22. Ministero delle Infrastrutture e dei Trasporti *Conto Nazionale delle Infrastrutture e dei

Registered leading causes of death by age, sex and country, UK, 2001 to 2018

Population figures over a 25-year period, including births, deaths and migration by sex for regions and local authorities in England. 2018-based estimates are the latest principal projection.

This is qualitative data collection of semi-structured interviews conducted between December 2019-October 2020 within a study that examined how the Prisons and Probation Ombudsman (seek to) effect change in prisons following prisoner suicides and how death investigations could have more impact on prison policy and practice. The study ran from 2019-2021. Internationally, prisoner mortality rates are up to 50% above those in the community. Although prisoner deaths are frequent and have significant implications across a broad range of stakeholder groups, these harms are rarely acknowledged. We address this by examining how the PPO (seek to) effect change in prisons following prisoner suicides and how death investigations could have more impact on prison policy and practice from semi-structured interviews with multisectoral stakeholders. Within this project, 46 semi-structured interviews were undertaken with multisectoral stakeholders: 17 PPO staff (who work across England and Wales from a base in London), 8 prison Governing Governors (representing 8 prisons), 11 regional SCGLs (representing all but two regions nationally) and 9 Coroners (who represent 9 of the 92 separate coroners’ jurisdictions in England and Wales) and bereaved family members (n=1). These professional groups have received limited consideration in previous research despite International laws, e.g. Article 2 of the European Convention on Human Rights, requiring that all deaths in state detention are independently investigated. In England and Wales, prisoner deaths are externally investigated by at least the police, PPO and Coroner. These police, ombudsman and coroner investigations can be very disruptive and cause uncertainty and anxiety for all involved. The research demonstrates how the harms of prisoner deaths and investigations are broadly unacknowledged and radiate widely. We sought to stimulate both i) more substantive support for all those caught up in prison suicides and death investigations and ii) reconsideration of how prisoner deaths are investigated. For data storage and analysis purposes, the participants were divided into four categories: 1) Prison and Probation Ombudsman staff (PPO); 2) Governing Governors (Governors); 3) Safer Custody Group Leads (SCGLs); 4) Coroners (coroners); 5) bereaved family members (prisoner family). Because of the sensitivity of this research 3 SCGL transcripts have been omitted due to the participants still being identifiable following transcript anonymisation. Further information about the project and links to publications are available on the University of Nottingham SafeSoc project webpage https://www.safesoc.co.ukIn May 2019, Dutch courts refused to deport an English suspected drug smuggler, citing the potential for inhuman and degrading treatment at HMP Liverpool. This well publicised judgment illustrates the necessity of my FLF: reconceptualising prison regulation, for safer societies. It seeks to save lives and money, and reduce criminal reoffending. Over 10.74 million people are imprisoned globally. The growing transnational significance of detention regulation was signalled by the Optional Protocol to the United Nations Convention against Torture/OPCAT. Its 89 signatories, including the UK, must regularly examine treatment and conditions. The quality of prison life affects criminal reoffending rates, so the consequences of unsafe prisons are absorbed by our societies. Prison regulation is more urgent than ever. England and Wales' prisons are now less safe than at any point in recorded history, containing almost 83,000 prisoners: virtually all of whom will be released at some point. In 2016, record prison suicides harmed prisoners, staff and bereaved families, draining ~£385 million from public funds. Record prisoner self-harm was seen in 2017, then again in 2018. Criminal reoffending costs £15 billion annually. Deteriorating prison safety poses a major moral, social, economic and public health threat, attracting growing recognition. Reconceptualising prison regulation is a difficult multidisciplinary challenge. Regulation includes any activity seeking to steer events in prisons. Effective prison regulation demands academic innovation and sustained collaboration and implementation with practitioners from different sectors (e.g. public, voluntary), regulators, policymakers, and prisoners: from local to (trans)national levels. Citizen participation has become central to realising more democratic, sustainable public services but is not well integrated across theory-policy-practice. I will coproduce prison regulation with partners, including the Prisons and Probation Ombudsman, voluntary organisations Safe Ground and the Prison Reform Trust, and (former) prisoners. This FLF examines three diverse case study countries: England and Wales, Brazil and Canada, developing multinational implications. This approach is ambitious and risky, but critical for challenging commonsensical beliefs. Interviews, focus groups, observation and creative methodologies will be used. There are three aims, to: i) theorise the (potential) participatory roles of prisoners and the voluntary sector in prison regulation ii) appraise the (normative) relationships between multisectoral regulators (e.g. public, voluntary) from local to (trans)national scales iii) co-produce (with multisectoral regulators), pilot, document and disseminate models of participatory, effective and efficient prison regulation in England and Wales (and beyond) - integrating multisectoral, multiscalar penal overseers and prisoners into regulatory theory and practice. This is an innovative study. Punishment scholars have paid limited attention to regulation. Participatory networks of (former) prisoners are a relatively new formation but rapidly growing in influence. Nobody has yet considered agencies like the Prisons Inspectorate and Ombudsman alongside voluntary sector organisations and participatory networks, nor their collective influences from local to transnational scales. Nobody has tried to work with all of these agencies to reconceptualise prison regulation and test it in practice. Findings will be developed, disseminated and implemented internationally. The research team will present findings and engage with diverse stakeholders and decision makers through interactive workshops (Parliament, London, Manchester, Liverpool and Birmingham), and multimedia outputs (e.g. infographics). This FLF has implications for prisons and detention globally, and broader relevance as a case study of participatory regulation of public services and policy translation. Within this project, 46 semi-structured interviews were undertaken with: 17 PPO staff (who work across England and Wales from a base in London), 8 prison Governing Governors (representing 8 prisons), 11 regional SCGLs (representing all but two regions nationally) and 9 Coroners (who represent 9 of the 92 separate coroners’ jurisdictions in England and Wales) and bereaved family members (n=1). The sample was purposive for all groups, as appropriate for our exploratory analysis and the resources available, however the sample is not representative of all staff in the groups we interviewed. Face to face interviews were conducted with PPO participants in December 2019. Due to the COVID pandemic, SCGL, Governing Governor, Coroner and bereaved family member interviews were undertaken by telephone and Microsoft TEAMS audio calls (at the participant’s preference) between July and October 2020.

Number of deaths registered each month by area of usual residence for England and Wales, by region, county, health authorities, local and unitary authority, and London borough.

Annual statistics on births and infant deaths based on babies born in a calendar year that died before their first birthday linked to their corresponding birth notification and their corresponding death registration.