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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.
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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
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This information covers fires, false alarms and other incidents attended by fire crews, and the statistics include the numbers of incidents, fires, fatalities and casualties as well as information on response times to fires. The Ministry of Housing, Communities and Local Government (MHCLG) also collect information on the workforce, fire prevention work, health and safety and firefighter pensions. All data tables on fire statistics are below.
MHCLG has responsibility for fire services in England. The vast majority of data tables produced by the Ministry of Housing, Communities and Local Government are for England but some (0101, 0103, 0201, 0501, 1401) tables are for Great Britain split by nation. In the past the Department for Communities and Local Government (who previously had responsibility for fire services in England) produced data tables for Great Britain and at times the UK. Similar information for devolved administrations are available at https://www.firescotland.gov.uk/about/statistics/">Scotland: Fire and Rescue Statistics, https://statswales.gov.wales/Catalogue/Community-Safety-and-Social-Inclusion/Community-Safety">Wales: Community safety and https://www.nifrs.org/home/about-us/publications/">Northern Ireland: Fire and Rescue Statistics.
If you use assistive technology (for example, a screen reader) and need a version of any of these documents in a more accessible format, please email alternativeformats@communities.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.
Fire statistics guidance
Fire statistics incident level datasets
https://assets.publishing.service.gov.uk/media/68f0f810e8e4040c38a3cf96/FIRE0101.xlsx">FIRE0101: Incidents attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 143 KB) Previous FIRE0101 tables
https://assets.publishing.service.gov.uk/media/68f0ffd528f6872f1663ef77/FIRE0102.xlsx">FIRE0102: Incidents attended by fire and rescue services in England, by incident type and fire and rescue authority (MS Excel Spreadsheet, 2.12 MB) Previous FIRE0102 tables
https://assets.publishing.service.gov.uk/media/68f20a3e06e6515f7914c71c/FIRE0103.xlsx">FIRE0103: Fires attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 197 KB) Previous FIRE0103 tables
https://assets.publishing.service.gov.uk/media/68f20a552f0fc56403a3cfef/FIRE0104.xlsx">FIRE0104: Fire false alarms by reason for false alarm, England (MS Excel Spreadsheet, 443 KB) Previous FIRE0104 tables
https://assets.publishing.service.gov.uk/media/68f100492f0fc56403a3cf94/FIRE0201.xlsx">FIRE0201: Dwelling fires attended by fire and rescue services by motive, population and nation (MS Excel Spreadsheet, 192 KB) Previous FIRE0201 tables
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Annual data on death registrations by single year of age for the UK (1974 onwards) and England and Wales (1963 onwards).
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Daily official UK Covid data. The data is available per country (England, Scotland, Wales and Northern Ireland) and for different regions in England. The different regions are split into two different files as part of the data is directly gathered by the NHS (National Health Service). The files that contain the word 'nhsregion' in their name, include data related to hospitals only, such as number of admissions or number of people in respirators. The files containing the word 'region' in their name, include the rest of the data, such as number of cases, number of vaccinated people or number of tests performed per day. The next paragraphs describe the columns for the different file types.
Files related to regions (word 'region' included in the file name) have the following columns: - "date": date in YYYY-MM-DD format - "area type": type of area covered in the file (region or nation) - "area name": name of area covered in the file (region or nation name) - "daily cases": new cases on a given date - "cum cases": cumulative cases - "new deaths 28days": new deaths within 28 days of a positive test - "cum deaths 28days": cumulative deaths within 28 days of a positive test - "new deaths_60days": new deaths within 60 days of a positive test - "cum deaths 60days": cumulative deaths within 60 days of a positive test - "new_first_episode": new first episodes by date - "cum_first_episode": cumulative first episodes by date - "new_reinfections": new reinfections by specimen data - "cum_reinfections": cumualtive reinfections by specimen data - "new_virus_test": new virus tests by date - "cum_virus_test": cumulative virus tests by date - "new_pcr_test": new PCR tests by date - "cum_pcr_test": cumulative PCR tests by date - "new_lfd_test": new LFD tests by date - "cum_lfd_test": cumulative LFD tests by date - "test_roll_pos_pct": percentage of unique case positivity by date rolling sum - "test_roll_people": unique people tested by date rolling sum - "new first dose": new people vaccinated with a first dose - "cum first dose": cumulative people vaccinated with a first dose - "new second dose": new people vaccinated with a first dose - "cum second dose": cumulative people vaccinated with a first dose - "new third dose": new people vaccinated with a booster or third dose - "cum third dose": cumulative people vaccinated with a booster or third dose
Files related to countries (England, Northern Ireland, Scotland and Wales) have the above columns and also: - "new admissions": new admissions, - "cum admissions": cumulative admissions, - "hospital cases": patients in hospitals, - "ventilator beds": COVID occupied mechanical ventilator beds - "trans_rate_min": minimum transmission rate (R) - "trans_rate_max": maximum transmission rate (R) - "trans_growth_min": transmission rate growth min - "trans_growth_max": transmission rate growth max
Files related to nhsregion (word 'nhsregion' included in the file name) have the following columns: - "new admissions": new admissions, - "cum admissions": cumulative admissions, - "hospital cases": patients in hospitals, - "ventilator beds": COVID occupied mechanical ventilator beds - "trans_rate_min": minimum transmission rate (R) - "trans_rate_max": maximum transmission rate (R) - "trans_growth_min": transmission rate growth min - "trans_growth_max": transmission rate growth max
It's worth noting that the dataset hasn't been cleaned and it needs cleaning. Also, different files have different null columns. This isn't an error in the dataset but the way different countries and regions report the data.
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Annual UK and constituent country figures for births, deaths, marriages, divorces, civil partnerships and civil partnership dissolutions.
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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.
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TwitterThese tables present high-level breakdowns and time series. A list of all tables, including those discontinued, is available in the table index. More detailed data is available in our data tools, or by downloading the open dataset.
We are proposing to make some changes to these tables in future, further details can be found alongside the latest provisional statistics.
The tables below are the latest final annual statistics for 2024, which are currently the latest available data. Provisional statistics for the first half of 2025 are also available, with provisional data for the whole of 2025 scheduled for publication in May 2026.
A list of all reported road collisions and casualties data tables and variables in our data download tool is available in the https://assets.publishing.service.gov.uk/media/6925869422424e25e6bc3105/reported-road-casualties-gb-index-of-tables.ods">Tables index (ODS, 28.9 KB).
https://assets.publishing.service.gov.uk/media/68d42292b6c608ff9421b2d2/ras-all-tables-excel.zip">Reported road collisions and casualties data tables (zip file) (ZIP, 11.2 MB)
RAS0101: https://assets.publishing.service.gov.uk/media/68d3cdeeca266424b221b253/ras0101.ods">Collisions, casualties and vehicles involved by road user type since 1926 (ODS, 34.7 KB)
RAS0102: https://assets.publishing.service.gov.uk/media/68d3cdfee65dc716bfb1dcf3/ras0102.ods">Casualties and casualty rates, by road user type and age group, since 1979 (ODS, 129 KB)
RAS0201: https://assets.publishing.service.gov.uk/media/68d3ce0bc908572e81248c1f/ras0201.ods">Numbers and rates (ODS, 37.5 KB)
RAS0202: https://assets.publishing.service.gov.uk/media/68d3ce17b6c608ff9421b25e/ras0202.ods">Sex and age group (ODS, 178 KB)
RAS0203: https://assets.publishing.service.gov.uk/media/67600227b745d5f7a053ef74/ras0203.ods">Rates by mode, including air, water and rail modes (ODS, 24.2 KB) - this table will be updated for 2024 once data is available for other modes.
RAS0301: https://assets.publishing.service.gov.uk/media/68d3ce2b8c739d679fb1dcf6/ras0301.ods">Speed limit, built-up and non-built-up roads (<span class="gem-c-attachmen
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TwitterThe 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.
Polygenic Indices
Polygenic indices are available under Special Licence SN 9439. Derived summary scores have been created that combine the estimated effects of many different genes on a specific trait or characteristic, such as a person's risk of Alzheimer's disease, asthma, substance abuse, or mental health disorders, for example. These polygenic scores can be combined with existing survey data to offer a more nuanced understanding of how cohort members' outcomes may be shaped.
Secure Access datasets
Secure Access versions of BCS70 have more restrictive access conditions than versions available under the standard Safeguarded Licence.
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.
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In 2013:
| Year | Road accident fatalities | % change from previous year |
|---|---|---|
| 2000 | 3,409 | -0.4 |
| 2001 | 3,450 | 1.2 |
| 2002 | 3,431 | -0.6 |
| 2003 | 3,508 | 2.2 |
| 2004 | 3,221 | -8.2 |
| 2005 | 3,201 | -0.6 |
| 2006 | 3,175 | -0.9 |
| 2007 | 2,946 | -7.1 |
| 2008 | 2,538 | -13.8 |
| 2009 | 2,222 | -12.5 |
| 2010 | 1,850 | -16.7 |
| 2011 | 1,901 | 2.8 |
| 2012 | 1,754 | -7.7 |
| 2013 | 1,713 | -2.3 |
The complete set of data is available for download.
The indicator can be broken down by any geographical area (eg country, region, local authority) since a grid reference is collected for each accident. Information is also available by age, gender, type of road user and road type. Numbers will be relatively small for more detailed breakdowns of the total and may therefore fluctuate from year to year. This needs to be taken into account when assessing trends.
More detailed analysis and time series can be found in Reported road casualties Great Britain: annual report.
Record level data on accidents and casualties can be found in http://data.gov.uk/dataset/road-accidents-safety-data/">Record level data
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TwitterThese are the videos from the ARC West "How Do You Move?" project. This dataset is licensed under the CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/) This dataset is cited in the NIHR Open Research article "How Do You Move? Everyday stories of physical activity": https://doi.org/10.3310/nihropenres.13399.1 Complete download (zip, 478 MiB)
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Public Health England (PHE) coronavirus cases reported daily. This data shows case numbers as reported to PHE. Cases includes people who have recovered.
DateVal : dd/mm/yyyy CMODateCount : The number of cases reported for the day CumCases: The cumulative number of cases IncreasePercent: The percentage increase in cases from the previous day DeathPercent: The percentage increase/decrease in daily deaths from the previous day CumCases7DayAvg: 7 day moving average of the cumulative number of cases CumDeaths7DayAvg: 7 day moving average of the cumulative number of deaths DailyDeath7DayAvg: 7 day moving average of the daily number of deaths
IncreasePercent and moving 7 day averages are calculated fields added to the original source.
https://www.gov.uk/government/publications/covid-19-track-coronavirus-cases https://coronavirus.data.gov.uk/
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The number of deaths registered in Leicester including deaths involving coronavirus (Covid-19).The data will be updated weekly.
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Population Mid-year Estimates from the Office for National Statistics (ONS). These are the official estimates of the resident population in Lincolnshire. ONS uses information from the census and other data to produce these official mid-year population estimates every year between each census. These figures show how many people live in each local area and the population age-sex structure. This data is updated annually. Although the ONS data shows exact numbers, they are estimates so some rounding should be applied. For current Armed forces populations, two Ministry of Defence links are also shown below. The ONS 2021 Census link has Veterans data. Population Projections data sourced from ONS is also available on this platform. The Source link shown below is to the ONS Nomis website. It has user-friendly data query tools for a broad range of ONS and other datasets from official sources.
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Percentage of people who use services who have control over their daily life - Older People (ASC User Survey)
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Percentage of people who use services who have control over their daily life - Disabled People (ASC User Survey)
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TwitterList of the data tables as part of the Immigration system statistics Home Office release. Summary and detailed data tables covering the immigration system, including out-of-country and in-country visas, asylum, detention, and returns.
If you have any feedback, please email MigrationStatsEnquiries@homeoffice.gov.uk.
The Microsoft Excel .xlsx files may not be suitable for users of assistive technology.
If you use assistive technology (such as a screen reader) and need a version of these documents in a more accessible format, please email MigrationStatsEnquiries@homeoffice.gov.uk
Please tell us what format you need. It will help us if you say what assistive technology you use.
Immigration system statistics, year ending September 2025
Immigration system statistics quarterly release
Immigration system statistics user guide
Publishing detailed data tables in migration statistics
Policy and legislative changes affecting migration to the UK: timeline
Immigration statistics data archives
https://assets.publishing.service.gov.uk/media/691afc82e39a085bda43edd8/passenger-arrivals-summary-sep-2025-tables.ods">Passenger arrivals summary tables, year ending September 2025 (ODS, 31.5 KB)
‘Passengers refused entry at the border summary tables’ and ‘Passengers refused entry at the border detailed datasets’ have been discontinued. The latest published versions of these tables are from February 2025 and are available in the ‘Passenger refusals – release discontinued’ section. A similar data series, ‘Refused entry at port and subsequently departed’, is available within the Returns detailed and summary tables.
https://assets.publishing.service.gov.uk/media/691b03595a253e2c40d705b9/electronic-travel-authorisation-datasets-sep-2025.xlsx">Electronic travel authorisation detailed datasets, year ending September 2025 (MS Excel Spreadsheet, 58.6 KB)
ETA_D01: Applications for electronic travel authorisations, by nationality
ETA_D02: Outcomes of applications for electronic travel authorisations, by nationality
https://assets.publishing.service.gov.uk/media/6924812a367485ea116a56bd/visas-summary-sep-2025-tables.ods">Entry clearance visas summary tables, year ending September 2025 (ODS, 53.3 KB)
https://assets.publishing.service.gov.uk/media/691aebbf5a253e2c40d70598/entry-clearance-visa-outcomes-datasets-sep-2025.xlsx">Entry clearance visa applications and outcomes detailed datasets, year ending September 2025 (MS Excel Spreadsheet, 30.2 MB)
Vis_D01: Entry clearance visa applications, by nationality and visa type
Vis_D02: Outcomes of entry clearance visa applications, by nationality, visa type, and outcome
Additional data relating to in country and overse
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Annual data on death registrations by area of usual residence in the UK. Summary tables including age-standardised mortality rates.
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TwitterThe Opinions and Lifestyle Survey is a Face-to-face interview of individuals in households. Data is available for Government Office Regions. The data for these tables is from the Well-Being Module, April, July and October, 2014. They cover a range of subjective well-being indicators that measure the respondents opinions using a score out of 10. The questions analysed here are: Overall, how satisfied are you with your life nowadays? Overall, to what extent do you feel that the things you do in your life are worthwhile? Overall, how happy did you feel yesterday? Overall, how anxious did you feel yesterday? Overall, how satisfied are you with your relationships with family, including spouse/partner? Overall, how satisfied are you with your relationships with friends? Overall, how satisfied are you with your physical health? Overall, how satisfied are you with your mental well-being? Overall, how satisfied are you with the well-being of your child/children? Overall, how satisfied are you with your financial situation? Overall, how satisfied are you with your work situation? Overall, how satisfied are you with your commute to work? How satisfied are you with the the time you spend on your paid work and on other aspects of your life? To what extent do you feel most people can be trusted? To what extent do you feel you have any relatives, friends or neighbours that you can ask for help? On a scale of 0 to 10 how lonely do you feel in your daily life? Overall, how satisfied are you with the local area where you live? How satisfied are you with the public gardens/parks etc. in the local area where you live? To what extent do you feel that you are involved in the local area where you live? To what extent do you feel you belong in the local area where you live? How safe would you feel walking alone in this local area after dark? Overall, how optimistic do you feel about the next 12 months? How satisfied are you with living in this country? How optimistic are you about the future of this country?
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Some tables have been withdrawn and replaced. The table index for this statistical series has been updated to provide a full map between the old and new numbering systems used in this page.
The Department for Transport is committed to continuously improving the quality and transparency of our outputs, in line with the Code of Practice for Statistics. In line with this, we have recently concluded a planned review of the processes and methodologies used in the production of Vehicle licensing statistics data. The review sought to seek out and introduce further improvements and efficiencies in the coding technologies we use to produce our data and as part of that, we have identified several historical errors across the published data tables affecting different historical periods. These errors are the result of mistakes in past production processes that we have now identified, corrected and taken steps to eliminate going forward.
Most of the revisions to our published figures are small, typically changing values by less than 1% to 3%. The key revisions are:
Licensed Vehicles (2014 Q3 to 2016 Q3)
We found that some unlicensed vehicles during this period were mistakenly counted as licensed. This caused a slight overstatement, about 0.54% on average, in the number of licensed vehicles during this period.
3.5 - 4.25 tonnes Zero Emission Vehicles (ZEVs) Classification
Since 2023, ZEVs weighing between 3.5 and 4.25 tonnes have been classified as light goods vehicles (LGVs) instead of heavy goods vehicles (HGVs). We have now applied this change to earlier data and corrected an error in table VEH0150. As a result, the number of newly registered HGVs has been reduced by:
3.1% in 2024
2.3% in 2023
1.4% in 2022
Table VEH0156 (2018 to 2023)
Table VEH0156, which reports average CO₂ emissions for newly registered vehicles, has been updated for the years 2018 to 2023. Most changes are minor (under 3%), but the e-NEDC measure saw a larger correction, up to 15.8%, due to a calculation error. Other measures (WLTP and Reported) were less notable, except for April 2020 when COVID-19 led to very few new registrations which led to greater volatility in the resultant percentages.
Neither these specific revisions, nor any of the others introduced, have had a material impact on the statistics overall, the direction of trends nor the key messages that they previously conveyed.
Specific details of each revision made has been included in the relevant data table notes to ensure transparency and clarity. Users are advised to review these notes as part of their regular use of the data to ensure their analysis accounts for these changes accordingly.
If you have questions regarding any of these changes, please contact the Vehicle statistics team.
Overview
VEH0101: https://assets.publishing.service.gov.uk/media/68ecf5acf159f887526bbd7c/veh0101.ods">Vehicles at the end of the quarter by licence status and body type: Great Britain and United Kingdom (ODS, 99.7 KB)
Detailed breakdowns
VEH0103: https://assets.publishing.service.gov.uk/media/68ecf5abf159f887526bbd7b/veh0103.ods">Licensed vehicles at the end of the year by tax class: Great Britain and United Kingdom (ODS, 23.8 KB)
VEH0105: https://assets.publishing.service.gov.uk/media/68ecf5ac2adc28a81b4acfc8/veh0105.ods">Licensed vehicles at
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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.