The highest number of unintentional-injury-related deaths at home in the United States occurred in 2022 with 128,800 such deaths. This statistic shows a timeline of the number of unintentional-injury-related deaths at home in the United States from 1930 to 2023.
The highest rate of unintentional-injury-related deaths at home in the United States was **** per 100,000 population in 2021 and 2022. This statistic shows the rate of unintentional-injury-related deaths at home in the United States from 1930 to 2023, per every 100,000 population.
As of February 2023, around *** thousand individuals in Italy, aged 15 years and older, suffered a domestic accident during the past three months before the surgery. This statistic breaks down this figure by occupation of the injured individuals. According to the data, there were *** thousand domestic accidents among white-collar workers and *** thousand among retired people.
These 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.
The tables below are the latest final annual statistics for 2023. The latest data currently available are provisional figures for 2024. These are available from the latest provisional statistics.
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/683709928ade4d13a63236df/reported-road-casualties-gb-index-of-tables.ods">Tables index (ODS, 30.1 KB).
https://assets.publishing.service.gov.uk/media/66f44e29c71e42688b65ec43/ras-all-tables-excel.zip">Reported road collisions and casualties data tables (zip file) (ZIP, 16.6 MB)
RAS0101: https://assets.publishing.service.gov.uk/media/66f44bd130536cb927482733/ras0101.ods">Collisions, casualties and vehicles involved by road user type since 1926 (ODS, 52.1 KB)
RAS0102: https://assets.publishing.service.gov.uk/media/66f44bd1080bdf716392e8ec/ras0102.ods">Casualties and casualty rates, by road user type and age group, since 1979 (ODS, 142 KB)
RAS0201: https://assets.publishing.service.gov.uk/media/66f44bd1a31f45a9c765ec1f/ras0201.ods">Numbers and rates (ODS, 60.7 KB)
RAS0202: https://assets.publishing.service.gov.uk/media/66f44bd1e84ae1fd8592e8f0/ras0202.ods">Sex and age group (ODS, 167 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)
RAS0301: https://assets.publishing.service.gov.uk/media/66f44bd1c71e42688b65ec3e/ras0301.ods">Speed limit, built-up and non-built-up roads (ODS, 49.3 KB)
RAS0302: https://assets.publishing.service.gov.uk/media/66f44bd1080bdf716392e8ee/ras0302.ods">Urban and rural roa
On 1 April 2025 responsibility for fire and rescue transferred from the Home Office to the Ministry of Housing, Communities and Local Government.
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/" class="govuk-link">Scotland: Fire and Rescue Statistics, https://statswales.gov.wales/Catalogue/Community-Safety-and-Social-Inclusion/Community-Safety" class="govuk-link">Wales: Community safety and https://www.nifrs.org/home/about-us/publications/" class="govuk-link">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/686d2aa22557debd867cbe14/FIRE0101.xlsx">FIRE0101: Incidents attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 153 KB) Previous FIRE0101 tables
https://assets.publishing.service.gov.uk/media/686d2ab52557debd867cbe15/FIRE0102.xlsx">FIRE0102: Incidents attended by fire and rescue services in England, by incident type and fire and rescue authority (MS Excel Spreadsheet, 2.19 MB) Previous FIRE0102 tables
https://assets.publishing.service.gov.uk/media/686d2aca10d550c668de3c69/FIRE0103.xlsx">FIRE0103: Fires attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 201 KB) Previous FIRE0103 tables
https://assets.publishing.service.gov.uk/media/686d2ad92557debd867cbe16/FIRE0104.xlsx">FIRE0104: Fire false alarms by reason for false alarm, England (MS Excel Spreadsheet, 492 KB) Previous FIRE0104 tables
https://assets.publishing.service.gov.uk/media/686d2af42cfe301b5fb6789f/FIRE0201.xlsx">FIRE0201: Dwelling fires attended by fire and rescue services by motive, population and nation (MS Excel Spreadsheet, <span class="gem-c-attac
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ABSTRACT Objective: to analyze the factors associated with childhood accidents at home according to the levels of the social determinants of health. Method: integrative review of the literature, with research in databases CINAHL, LILACS and PubMed, with the following main descriptors: child; social determinants of health; accidentes, home. We included 31 studies that related the social determinants of health and childhood accidents, in English, Portuguese and Spanish. Results: the proximal determinants identified were: age and sex of children, and ethnicity. Among the intermediate determinants of health, parental behavior, related to the supervision of an adult, prevailed. Parental employment and socioeconomic status were identified as distal determinants. Conclusion: the age and sex of the child, besides direct supervision, were the determinants most associated with accidents. The distal determinants should be better studied because their relation with the occurrence of domestic accidents has not been sufficiently clarified.
As of February 2023, around *** thousand individuals in Italy, aged six years and older, suffered a domestic accident during the three months before the survey. This statistic breaks down this figure by level of education of the injured individuals. According to the data, there were *** thousand domestic accidents among people having only a primary school certificate or no education.
Workplace safety and injury data for EVV-Deaconess VNA Plus, LLC
Workplace safety and injury data for Country Meadows at Home
As of February 2023, around *** thousand domestic accidents were reported in Italy during the three months before the survey. This statistic breaks down this figure by age of the injured individuals. According to the data, there were 139 thousand domestic accidents among people aged 80 years old and over.
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License information was derived automatically
Human behavior is a dominant factor in road accidents, contributing to more than 70% of such incidents. However, gathering detailed data on individual drivers’ behavior is a significant challenge in the field of road safety. As a result, researchers often narrow the scope of their studies thus limiting the generalizability of their findings. Our study aims to address this issue by identifying demographic-related variables and their indirect effects on road accident frequency. The theoretical basis is set through existing literature linking demographics to risky driving behavior and through the concept of “close to home” effect, finding that the upwards of 62% of accidents happen within 11km of a driver’s home. Using regression-based machine learning models, our study, looking at England, UK, explores the theoretical linkages between demographics of an area and road accident frequency, finding that census data is able to explain over 28% of the variance in road accident rates per capita. While not replacing more in-depth research on driver behavior, this research validates trends found in the literature through the use of widely available data with the use of novel methods. The results of this study support the use of demographic data from the national census that is obtainable at a large spatial and temporal scale to estimate road accident risks; additionally, it demonstrates a methodology to further explore potential indirect relationships and proxies between behaviors and road accident risk.
https://data.aussda.at/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.11587/TZACHEhttps://data.aussda.at/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.11587/TZACHE
The social- and health care system is still very interested in accident statistical data since surveys on accidents during sportive activities, recreational time or in the household are neither conducted regularly nor comprehensively (in contrast to traffic- and occupational accidents). However, the number of these accidents surpasses all others. Already in 1970 and 1980 Mikrozensus special surveys had been conducted on the topic of accidents during sportive activities, recreational time or in the household. This special program is now repeated. Appropriated modifications of the question catalogue were needed.
Workplace safety and injury data for HOUOHC-015-HOUSTON HOME CARE
Domestic violence injuries by type as reported by the City of Clarkston Police Department to NIBRS (National Incident-Based Reporting System), Group A.
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This dataset contains crash information from the last five years to the current date. The data is based on the National Incident Based Reporting System (NIBRS). The data is dynamic, allowing for additions, deletions and modifications at any time, resulting in more accurate information in the database. Due to ongoing and continuous data entry, the numbers of records in subsequent extractions are subject to change.About Crash DataThe Cary Police Department strives to make crash data as accurate as possible, but there is no avoiding the introduction of errors into this process, which relies on data furnished by many people and that cannot always be verified. As the data is updated on this site there will be instances of adding new incidents and updating existing data with information gathered through the investigative process.Not surprisingly, crash data becomes more accurate over time, as new crashes are reported and more information comes to light during investigations.This dynamic nature of crash data means that content provided here today will probably differ from content provided a week from now. Likewise, content provided on this site will probably differ somewhat from crime statistics published elsewhere by the Town of Cary, even though they draw from the same database.About Crash LocationsCrash locations reflect the approximate locations of the crash. Certain crashes may not appear on maps if there is insufficient detail to establish a specific, mappable location.
This statistic displays the share of adults who have experienced common accidents that take place in the home in the United Kingdom (UK) as of 2015. Over one third of respondents have experienced burns from electrical items.
Workplace safety and injury data for Craig HomeCare-Omaha
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The Home to School Travel bulletin provides information on school pupils injured in road traffic collisions whilst travelling to or from school.
Source agency: Environment (Northern Ireland)
Designation: Official Statistics not designated as National Statistics
Language: English
Alternative title: Home to School
https://data.gov.tw/licensehttps://data.gov.tw/license
Household type (individual-owned, profit-making enterprise or institution-owned), household vehicles (1, 2...9, 10 or more), number of households
The Reported Road Casualties in Great Britain (RRCGB) Annual Report: 2012 presents detailed statistics about the circumstances of personal injury accidents, including the types of vehicles involved, the resulting casualties and factors which may contribute to accidents. In addition to detailed tables there are four articles containing further analysis on specific road safety topics.
Most of the statistics in the report are based on information about accidents reported to the police. However, other sources such as mortality, national travel survey, coroners’ reports and data from the Home Office and Ministry of Justice, are also used as well as population and traffic data to provide a wider context.
The article ‘Self-reported drink and drug driving: Findings from the Crime Survey for England and Wales: year ending March 2013’ was added as an update on 6 February 2014, to RRCGB: Annual Report 2012, which was published initially on 26 September 2013.
In 2012, there were:
http://www.youtube.com/watch?v=zuRFcDVNs4I&feature=c4-overview&list=UU8mgf88hO4bbrfta9bcgZuA" class="govuk-link">Video on reported road casualties 2012
Road safety statistics
Email mailto:roadacc.stats@dft.gov.uk">roadacc.stats@dft.gov.uk
The highest number of unintentional-injury-related deaths at home in the United States occurred in 2022 with 128,800 such deaths. This statistic shows a timeline of the number of unintentional-injury-related deaths at home in the United States from 1930 to 2023.