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

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.

NHS UK - COVID-19 Daily Deaths

This section contains information on deaths of patients who have died in hospitals in England and had tested positive for COVID-19 at time of death. All deaths are recorded against the date of death rather than the date the deaths were announced. Interpretation of the figures should take into account the fact that totals by date of death, particularly for most recent days, are likely to be updated in future releases. For example as deaths are confirmed as testing positive for COVID-19, as more post-mortem tests are processed and data from them are validated. Any changes are made clear in the daily files.

These figures do not include deaths outside hospital, such as those in care homes. This approach makes it possible to compile deaths data on a daily basis using up to date figures.

Dataset Content

These figures will be updated at 2pm each day and include confirmed cases reported at 5pm the previous day. Confirmation of COVID-19 diagnosis, death notification and reporting in central figures can take up to several days and the hospitals providing the data are under significant operational pressure. This means that the totals reported at 5pm on each day may not include all deaths that occurred on that day or on recent prior days.

The original dataset is sourced directly from the NHS source site, this original dataset is then cleaned and converted to a csv format available for inclusion into a Kaggle notebook.

There are 3 files considered within the data :- 1. Fatalities_by_age_uk 2.Fatalities_by_region_uk 3.Fatalities_by_trust_uk

Data runs from March 1st up to the current day. Any discrepancies will be outlined. The first is cumulative for any previous days leading up to of relevance. The following days are not cumulative and represent the updated value for the date under consideration.

A start kernel is provided to demonstrate using the dataset.

Citations

This dataset is sourced from the NHS statistical work areas:- https://www.england.nhs.uk/statistics/statistical-work-areas/

This dataset has been sourced and provided to aid in the following competition:- https://www.kaggle.com/c/covid19-global-forecasting-week-4

The Public Health Research Database (PHRD) is a linked asset which currently includes Census 2011 data; Mortality Data; Hospital Episode Statistics (HES); GP Extraction Service (GPES) Data for Pandemic Planning and Research data. Researchers may apply for these datasets individually or any combination of the current 4 datasets.

The purpose of this dataset is to enable analysis of deaths involving COVID-19 by multiple factors such as ethnicity, religion, disability and known comorbidities as well as age, sex, socioeconomic and marital status at subnational levels. 2011 Census data for usual residents of England and Wales, who were not known to have died by 1 January 2020, linked to death registrations for deaths registered between 1 January 2020 and 8 March 2021 on NHS number. The data exclude individuals who entered the UK in the year before the Census took place (due to their high propensity to have left the UK prior to the study period), and those over 100 years of age at the time of the Census, even if their death was not linked. The dataset contains all individuals who died (any cause) during the study period, and a 5% simple random sample of those still alive at the end of the study period. For usual residents of England, the dataset also contains comorbidity flags derived from linked Hospital Episode Statistics data from April 2017 to December 2019 and GP Extraction Service Data from 2015-2019.

Provisional deaths registration data for single year of age and average age of death (median and mean) of persons whose death involved coronavirus (COVID-19), England and Wales. Includes deaths due to COVID-19 and breakdowns by sex.

Pre-existing conditions of people who died due to COVID-19, broken down by country, broad age group, and place of death occurrence, usual residents of England and Wales.

Public health funerals, including date of birth, date of death, gender, next of kin, burial or cremation and funeral cost. From 2019, the data also contains the name and last known address of deceased, along with detail of funeral costs and date. Public health funerals are funerals arranged by Local Authorities for those people who have died and have no known relatives to arrange or pay for their funeral or have relatives who do not want to; or are unable to arrange their funeral.

A List of UK Health Workers Who Have Died from COVID-19

Made machine-readable by hand from data from the UK newspaper "The Guardian", in this article: "Doctors, nurses, porters, volunteers: the UK health workers who have died from Covid-19" https://www.theguardian.com/world/2020/apr/16/doctors-nurses-porters-volunteers-the-uk-health-workers-who-have-died-from-covid-19

The Guardian is continuing to update the list day-by-day, as the COVID-19 pandemic continues. I do not plan to update this dataset, assuming, since the data collection biases are unknown, that nobody else will find it very interesting. I am not a copyright lawyer and do not know if this data is protected copyright, and if so, in which parts of the world.

Caveat: Creating this dataset from a newspaper article required a lot of hand work. I've done my best, but there may be mistakes.

Columns: Name age institution city: I have filled this in myself; I am ignorant of UK geography and there may well be mistakes date_of_death possible_ppe_issue: mostly blank, but I have filled in "yes" where the article mentions a person who had doubts about the adequacy of PPE (personal protective equipment) MED_SPEC: I have attempted to fill in a medical specialty from the values used on the Eurostat web site for Physicians by Medical Specialty" and "Nursing and caring professionals" tables. The idea is to be able to calculate a fraction of affected individuals by specialty.

Context

Information on funerals organised by Leeds City Council due to circumstances such as no traceable next of kin, next of kin unable or prepared to organise or no-one able/available to fund the funeral. For more information on public health funerals visit: http://www.leeds.gov.uk/residents/Pages/Public-health-funerals.aspx https://data.gov.uk/dataset/8ef70b5b-e61c-47b9-b9b1-2315e0ec17b5/public-health-funeral-data

Content

Dataset guidance Column 1: Postcode of area of the last known address of the deceased. Column 2: Date of death. Column 3: Total cost of the funeral (not just the amount the council recovers, or the charge by the council). Column 4: Date the estate was referred to the Treasury Solicitor (the Treasury Solicitor is the Government department that deals with the estates of those who have no next of kin i.e. they try and trace a next of kin who may be entitled to inherit the estate). Column 5: Gender of deceased.

Acknowledgements

https://data.gov.uk/dataset/8ef70b5b-e61c-47b9-b9b1-2315e0ec17b5/public-health-funeral-data Freedom of Information (FOI) requests http://www.whatdotheyknow.com/body/leeds_city_council

Photo by chris liu on Unsplash

Inspiration

“Death leaves a heartache no one can heal, love leaves a memory no one can steal. From an Irish headstone”

this graph was created in OurDataWorld:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Fbc6641521f3e8eda72461c62e7ca76c5%2Fgraph1.png?generation=1719871547650293&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Fe3abc090220c196af6c3b76f7c613b0f%2Fgraph2.png?generation=1719871554097018&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F94ba21a131b669776cc64006c6b2d113%2Fgraph3.png?generation=1719871559599035&alt=media" alt="">

Think about someone dying from extreme temperatures. You probably pictured someone passing out from heat stroke or dying from hypothermia.

But this is not how most people die from “heat”. They die from conditions such as cardiovascular or kidney disease, respiratory infections, or diabetes.1

Almost no one has “heat” or “cold” written on their death certificate, but sub-optimal temperatures lead to a large number of premature deaths. As we’ll see later, researchers estimate that it kills several million every year.

Older populations are usually most vulnerable to extreme temperatures. Most deaths occur in people older than 65. It’s important to consider what "death" means here and how deaths from extreme temperatures might compare to other causes. Being too hot or cold can increase our risk of developing certain health conditions or worsen existing ones. It can thereby lead to an earlier death than would have occurred if the temperatures were “optimal”.

How much time do hot or cold conditions take off someone’s life? It’s difficult to give precise estimates. One method that researchers often use is to look at excess death rates — which measure how many more people die in a given year compared to an “average” year — in a particularly warm or cold year. Looking at patterns of excess deaths gives some indication of whether temperature-related deaths were “brought forward” significantly or not.

A study by Nirandeep Rehill and colleagues examined death patterns in the United Kingdom over 50 years.2 It found that most cold-related deaths were among people who would not have died in the next 6 months. A later study looked at the impacts of high and low temperatures across a much larger sample of countries.3 It found that most temperature-related deaths reduced lifespans for at least one year. Most people died at least one year earlier, although there would be some that did lose less than this.

In this article, I will examine how many people die from heat and cold each year and how researchers estimate these numbers. In a follow-up article, I’ll look at how these risks could change in the future due to climate change.

A quick note on terminology: I will use the term “temperature-related deaths” from this point forward to refer to the combination of deaths from heat and cold conditions. When I use the term “heat”, I mean warm or hot.

The 1970 British Cohort Study (BCS70) is a longitudinal birth cohort study, following a nationally representative sample of over 17,000 people born in England, Scotland and Wales in a single week of 1970. Cohort members have been surveyed throughout their childhood and adult lives, mapping their individual trajectories and creating a unique resource for researchers. It is one of very few longitudinal studies following people of this generation anywhere in the world.Since 1970, cohort members have been surveyed at ages 5, 10, 16, 26, 30, 34, 38, 42, 46, and 51. Featuring a range of objective measures and rich self-reported data, BCS70 covers an incredible amount of ground and can be used in research on many topics. Evidence from BCS70 has illuminated important issues for our society across five decades. Key findings include how reading for pleasure matters for children's cognitive development, why grammar schools have not reduced social inequalities, and how childhood experiences can impact on mental health in mid-life. Every day researchers from across the scientific community are using this important study to make new connections and discoveries.BCS70 is run by the Centre for Longitudinal Studies (CLS), a research centre in the UCL Institute of Education, which is part of University College London. The content of BCS70 studies, including questions, topics and variables can be explored via the CLOSER Discovery website.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 BCS70 that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.Secure Access datasetsSecure Access versions of BCS70 have more restrictive access conditions than versions available under the standard End User Licence (EUL). The 1970 British Cohort Study Deaths Dataset, 1970-2014: Special Licence Access contains data on known deaths among members of the BCS70 birth cohort from 1970 to 2014. Information on deaths has been taken from the records maintained by the organisations responsible for the study over the lifetime of the study - the National Birthday Trust Fund, the National Children’s Bureau (NCB), the 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 2014. In only 40 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 1970 British Cohort Study Response Dataset, 1970-2012 (SN 5641) covers other responses and outcomes of the cohort members and should be used alongside this dataset. In April 2025, the user guide for SN 5641 was added to this study to replace the previous one, at the depositor's request.

The study includes the following four variables:BCS70 serial numbermonth of deathyear of deathsource of death information

This report draws on data from the National Child Mortality Database (NCMD) to investigate infection related deaths in children and young people, and to draw out learning and recommendations for service providers and policymakers. This NCMD thematic report aims to identify common characteristics of children and young people who died with and because of an infection, investigate factors associated with these deaths and identify common themes, to help inform policymakers, commissioners, those providing services to children and young people, and those involved in reviewing deaths of children and young people.

Provisional counts of the number of deaths registered in England and Wales, including deaths involving coronavirus (COVID-19), by local authority, health board and place of death in the latest weeks for which data are available. The occurrence tabs in the 2021 edition of this dataset were updated for the last time on 25 October 2022.

Context

COVID-19 is a Pandemic which was spread worldwide in the early months of 2020, Which has had a major impact on the United Kingdom. As the UK has recently carried out wide spread vaccination and ended Lockdown I am providing the recent COVID-19 figures.

Content

Several Datasets are provided, focusing on Deaths, Cases, Hospitalisation and Vaccination. Files often protray the same information but from a different reference point. For example for Deaths there is one displaying figures from people who died using there positive date as a reference point, whereas the other is using the date of death.

Acknowledgements

These datasets was scrapped off the UK Gov website in regards to COVID-19. For those looking to build a more complex project using a constant data flow, they do provide an API which may assist.

Inspiration

Possible area to explore are: What was the Impact of Vaccines on the COVID-19 Pandemic? What was the Impact of a Lockdown on the COVID-19 Pandemic? Which Nation managed the spread of COVID-19 the best?

Licence

Open Government Licence V3.0

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

This dataset as reported to the Rural Payments Agency contains cattle that died at slaughterhouses, cattle born before 1 July 1996 which were not registered until 2000, death registrations that have passed initial Cattle Tracing System validation checks, applications received for cattle born in Great Britain.

The number of deaths registered in Leicester including deaths involving coronavirus (Covid-19).The data will be updated weekly.

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.