100+ datasets found
  1. w

    Fire statistics data tables

    • gov.uk
    • s3.amazonaws.com
    Updated Oct 23, 2025
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    Ministry of Housing, Communities and Local Government (2025). Fire statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/fire-statistics-data-tables
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    Dataset updated
    Oct 23, 2025
    Dataset provided by
    GOV.UK
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    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/">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.

    Related content

    Fire statistics guidance
    Fire statistics incident level datasets

    Incidents attended

    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

    Dwelling fires attended

    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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  2. Number of unintentional-injury-related deaths at home in the U.S. 1930-2023

    • statista.com
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    Statista, Number of unintentional-injury-related deaths at home in the U.S. 1930-2023 [Dataset]. https://www.statista.com/statistics/526260/deaths-due-to-injuries-at-home-in-the-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The highest number of unintentional-injury-related deaths at home in the United States occurred in 2022 with ******* 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.

  3. d

    Individual and Home Safety

    • catalog.data.gov
    • opendata.dc.gov
    Updated Nov 5, 2025
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    DC Health, Cancer and Chronic Disease Prevention Bureau, Public Health Analyst (2025). Individual and Home Safety [Dataset]. https://catalog.data.gov/dataset/individual-and-home-safety
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    Dataset updated
    Nov 5, 2025
    Dataset provided by
    DC Health, Cancer and Chronic Disease Prevention Bureau, Public Health Analyst
    Description

    These resources help support personal safety or help to improve home safety for persons living with dementia or memory loss. The services listed are specific to older adults and are generally inclusive of persons with dementia while not being explicitly dementia specific service.

  4. Rate of unintentional-injury related deaths at home in U.S. 1930-2023

    • statista.com
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    Statista, Rate of unintentional-injury related deaths at home in U.S. 1930-2023 [Dataset]. https://www.statista.com/statistics/526283/timeline-death-rate-injury-related-at-home-in-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  5. i

    Grant Giving Statistics for Home Safety Foundation Inc.

    • instrumentl.com
    Updated Jul 6, 2021
    + more versions
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    (2021). Grant Giving Statistics for Home Safety Foundation Inc. [Dataset]. https://www.instrumentl.com/990-report/home-safety-foundation-inc
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    Dataset updated
    Jul 6, 2021
    Description

    Financial overview and grant giving statistics of Home Safety Foundation Inc.

  6. Smart home security market size worldwide 2024-2029

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Smart home security market size worldwide 2024-2029 [Dataset]. https://www.statista.com/statistics/1056057/worldwide-smart-home-security-market-value/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2024, the global smart home security market was valued at around **** billion U.S. dollars. The smart home security market size is forecast to increase over the next few years to nearly ** billion U.S. dollars by 2029. Smart home security refers to a set of internet-connected devices that monitor, detect, and alert users about potential intrusions in their homes. These devices can include surveillance cameras, alarm systems, motion detectors, and smart locks, among others. Despite the privacy issues associated with smart home security devices, the importance of owning a home security system outweighs these concerns in most countries worldwide.

  7. Nursing Home Compare Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Nursing Home Compare Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/nursing-home-compare-data-package/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    This data package contains information about Measures of Rehospitalization, Emergency Visit and Community Discharge for Medicare Beneficiaries. It also includes Nursing Home Compare information on Deficiencies, Fire Safety Deficiencies, MDS Quality Measures, Ownership information, Fines and Payment denial, Provider Information, State Averages and Survey Summary information about nursing homes.

  8. g

    Home Safety Project, 1987-1992: [Shelby County, Tennessee, King County,...

    • search.gesis.org
    Updated May 7, 2021
    + more versions
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    GESIS search (2021). Home Safety Project, 1987-1992: [Shelby County, Tennessee, King County, Washington, and Cuyahoga County, Ohio] - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR06898
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    Dataset updated
    May 7, 2021
    Dataset provided by
    GESIS search
    ICPSR - Interuniversity Consortium for Political and Social Research
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de440887https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de440887

    Area covered
    Tennessee, King County, Washington, Shelby County, Cuyahoga County
    Description

    Abstract (en): The Home Safety Project was a population-based case control study of homicide in the home with control households matched to cases by victim age range, race, gender, and neighborhood (a proxy for socioeconomic status). The study was conducted in the following locations: Shelby County, Tennessee (August 23, 1987-August 23, 1992), King County, Washington (August 23, 1987-August 23, 1992), and Cuyahoga County, Ohio (January 1, 1990-August 23, 1992). The purpose of the data collection was to study risk and protective factors for homicide in the home and to identify individual and household factors associated with homicide (both behavioral and environmental). Respondents were asked a series of questions related to alcohol consumption, such as whether drinking ever created problems between household members, whether any household members had had trouble at work because of drinking, whether any physical fights or other violence had occurred in the home or outside the home due to drinking, and whether any injuries or hospital stays had resulted from drinking/fighting episodes. Additional queries covered whether any adult in the household had ever been arrested for any reason, whether anyone in the household used illicit drugs, and, if so, which ones. Questions on home safety features included whether the home had a burglar alarm, bars on the windows, exterior door deadbolt, security door, dogs, and any restricted access to the residence. Items on gun ownership covered whether there were any guns in the home and, if so, what type. Information also was elicited on the homicide that had taken place in the home, including whether the suspect was intimate with the victim, whether there was evidence of forced entry or entry without consent, whether the victim attempted to resist, and the respondent's assumption of the method of death as well as the medical examiner's determination. Demographic information includes victims' age, sex, and race, and respondents' age and sex. The unit of analysis is individual cases of homicide. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. All homicides in homes that involved residents of the three study counties (Shelby County, Tennessee, King County, Washington, and Cuyahoga County, Ohio) during the study interval. Any death that was ruled a homicide was included, regardless of method. Assaults were included if the victim died within three months due to injury. 2006-03-30 File CB6898.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.1997-11-18 One variable was recoded in Part 1, Homicide Data, and corresponding changes were made to the codebook and data definition statements. Also, in the codebook and data definition statements, several value labels were changed and the order of two variables was switched. Funding insitution(s): United States Department of Health and Human Services. Centers for Disease Control and Prevention (CCR 402424 and CCR 403519). All individual identifiers were removed by the principal investigators to protect confidentiality.

  9. Global estimated economic value of home safety and security IoT 2025-2030

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Global estimated economic value of home safety and security IoT 2025-2030 [Dataset]. https://www.statista.com/statistics/1319047/economic-value-from-iot-home-security/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2021
    Area covered
    Worldwide
    Description

    It is estimated that home safety and security IoT will have an economic value of approximately ** billion U.S. dollars by 2025, and is expected to grow to around ** billion dollars by 2030.

  10. Home safe Home

    • data.virginia.gov
    pdf
    Updated Oct 30, 2025
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    U.S. Environmental Protection Agency (2025). Home safe Home [Dataset]. https://data.virginia.gov/dataset/home-safe-home
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    pdf(317071)Available download formats
    Dataset updated
    Oct 30, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Authors
    U.S. Environmental Protection Agency
    Description

    This dataset provides information about how to use pesticides safely and outsmart pests

  11. Individuals who suffered a domestic accident in Italy 2005-2023

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Individuals who suffered a domestic accident in Italy 2005-2023 [Dataset]. https://www.statista.com/statistics/625327/domestic-accidents-italy/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2005 - Feb 2023
    Area covered
    Italy
    Description

    The number of individuals who suffered a domestic accident in the previous three months in Italy fluctuated considerably between 2005 and 2023. The worst figure was recorded in 2017, when as many as *** thousand individuals were hurt in their homes. Conversely, in 2023 just *** thousand Italians suffered from domestic accidents, the lowest figure recorded in the period under consideration. This figure shows the number of individuals in Italy who have suffered a domestic accident in the last three months from 2005 to 2023 (in 1,000s).

  12. i

    Grant Giving Statistics for Insurance Institute for Business & Home Safety

    • instrumentl.com
    Updated Oct 15, 2021
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    (2021). Grant Giving Statistics for Insurance Institute for Business & Home Safety [Dataset]. https://www.instrumentl.com/990-report/insurance-institute-for-business-home-safety
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    Dataset updated
    Oct 15, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Insurance Institute for Business & Home Safety

  13. Smart Home Safety Market by Product, Service, and Geography - Forecast and...

    • technavio.com
    pdf
    Updated Apr 7, 2022
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    Technavio (2022). Smart Home Safety Market by Product, Service, and Geography - Forecast and Analysis 2022-2026 [Dataset]. https://www.technavio.com/report/smart-home-safety-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Apr 7, 2022
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2021 - 2025
    Description

    Snapshot img

    The smart home safety market share is expected to increase by USD 14.10 billion from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 16.48%. This smart home safety market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. The smart home safety market report also offers information on several market vendors, including ABB Ltd., Alphabet Inc., Carrier Global Corp., Cisco Systems Inc., Control4 Corp., Emerson Electric Co., General Electric Co., Haier Smart Home Co. Ltd., International Business Machines Corp., Legrand SA, LG Electronics Inc., Lutron Electronics Co. Inc., Microsoft Corp., Resideo Technologies Inc., Samsung Electronics Co. Ltd., Schneider Electric SE, Shenzhen Zhuohao Intelligent Electronic Development Co. Ltd., Siemens AG, Smartlabs Inc., and Panasonic Corp. among others. Furthermore, this report extensively covers smart home safety market segmentation by product (cameras and monitoring systems, alarms, locks and sensors, and detectors), service (professional installation and self-installation), and geography (North America, Europe, APAC, South America, and Middle East and Africa).

    What will the Smart Home Safety Market Size be During the Forecast Period?

    Download the Free Report Sample to Unlock the Smart Home Safety Market Size for the Forecast Period and Other Important Statistics

    Smart Home Safety Market: Key Drivers, Trends, and Challenges

    The adoption of cloud-based technologies is notably driving the smart home safety market growth, although factors such as safety and privacy concerns may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the smart home safety industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

    Key Smart Home Safety Market Driver

    The adoption of cloud-based technologies is one of the key drivers supporting the smart home safety market growth. Cloud-based services are used to store images captured by surveillance systems so that they can be used on-demand. They ensure a low cost of ownership and on-demand scalability without any additional cost to homeowners. The smart home cloud center platform can be categorized into three divisions, namely cloud service market, carrier market, and smart IoT gateway. These platforms provide features such as high-speed gaming, mobile app downloads, content transfer across regions, and multiple wireless user interfaces. Hence, smart homes have the potential of having a huge presence with the growth of cloud technology. Such factors of cloud-based technology will propel the smart home safety market growth during the forecast period.

    Key Smart Home Safety Market Trend

    Remote arming of the smart home alarm system is one of the key smart home safety market trends that is contributing to the market growth. Home security systems do not function effectively unless they are armed. Piper, the first all-in-one home security and home automation device manufactured by ICONTROL NETWORKS, features smart arming. This is a feature that allows users to set their system remotely from a mobile device. Piper and Life 360 partnered to develop the smart arming feature. The Piper app allows users to check if anyone is at home, and the alarm is set off when it detects that no one is at home but there is a movement within the premises. This app also gives notifications to inform homeowners about security developments via text, phone calls, and e-mail. The device uses a Z-wave compatible with Wi-Fi-enabled cameras to monitor the house with features like panoramic video and sound detection. These factors are driving the smart home safety market growth.

    Key Smart Home Safety Market Challenge

    Safety and privacy concerns is one of the factors hindering the smart home safety market growth. M2M technology facilitates communication among supply chain players for promoting easier inventory management. An IoT system connects remote machines with systems, machines, and people. However, if the number of interfaces linking the components is increased, the entire system becomes vulnerable to breaches. With the advent of M2M technology, the number of connected devices worldwide has increased expeditiously over the past few years. All Wi-Fi-enabled devices are now operated using cloud technology. While this makes operations simpler, privacy becomes a major concern. With regard to smart homes, individuals focus on the security aspect while adopting any new technology. Public or unauthorized access to cloud information could lead to cyber threats and compromise the integrity of the entire system. Such threats will impede the smart home safety market growth during the forecast period.

    This smart home safety mark

  14. FIRE1204: previous data tables

    • gov.uk
    Updated Oct 18, 2018
    + more versions
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    Home Office (2018). FIRE1204: previous data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/fire1204-previous-data-tables
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    Dataset updated
    Oct 18, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    FIRE1204: Fire safety audit outcomes, by fire and rescue authority (22 August 2024)

    https://assets.publishing.service.gov.uk/media/66c6041f81850effa1b18e5c/fire-statistics-data-tables-fire1204-240823.xlsx">FIRE1204: Fire safety audit outcomes, by fire and rescue authority (24 August 2023) (MS Excel Spreadsheet, 16 MB)

    https://assets.publishing.service.gov.uk/media/64e33b844002ee000d560c7a/fire-statistics-data-tables-fire1204-010922.xlsx">FIRE1204: Fire safety returns, by fire and rescue authority (1 September 2022) (MS Excel Spreadsheet, 15.3 MB)

    https://assets.publishing.service.gov.uk/media/630e11448fa8f55361ddd83d/fire-statistics-data-tables-fire1204-160921.xlsx">FIRE1204: Fire safety returns, by fire and rescue authority (16 September 2021) (MS Excel Spreadsheet, 13 MB)

    https://assets.publishing.service.gov.uk/media/6141bcd1d3bf7f05b2ac204e/fire-statistics-data-tables-fire1204-100920.xlsx">FIRE1204: Fire safety returns, by fire and rescue authority (10 September 2020) (MS Excel Spreadsheet, 1.49 MB)

    https://assets.publishing.service.gov.uk/media/5f4f76dc8fa8f523f3a33c69/fire-statistics-data-tables-fire1204-311019.xlsx">FIRE1204: Fire safety returns, by fire and rescue authority (31 October 2019) (MS Excel Spreadsheet, 1.06 MB)

    https://assets.publishing.service.gov.uk/media/5db8219240f0b63799f219bc/fire-statistics-data-tables-fire1204-031019.xlsx">FIRE1204: Fire safety returns, by fire and rescue authority (3 October 2019) (MS Excel Spreadsheet, 4.98 MB)

    https://assets.publishing.service.gov.uk/media/5d8e0f14e5274a2faa39b9bb/fire-statistics-data-tables-fire1204-181018.xlsx">FIRE1204: Fire safety returns, by fire and rescue authority (18 October 2018) (MS Excel Spreadsheet, 985 KB)

    https://assets.publishing.service.gov.uk/media/5bbb738940f0b664eb32718d/fire-statistics-data-tables-fire1204.xlsx">FIRE1204: Fire safety returns, by fire and rescue authority (26 October 2017) (MS Excel Spreadsheet, 4.51 MB)

    Related content

    Fire statistics data tables
    Fire statistics guidance
    Fire statistics

  15. f

    Evaluating implementation of a fire-prevention injury prevention briefing in...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 3, 2023
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    Toity Deave; Adrian Hawkins; Arun Kumar; Mike Hayes; Nicola Cooper; Michael Watson; Joanne Ablewhite; Carol Coupland; Alex Sutton; Gosia Majsak-Newman; Lisa McDaid; Trudy Goodenough; Kate Beckett; Elaine McColl; Richard Reading; Denise Kendrick (2023). Evaluating implementation of a fire-prevention injury prevention briefing in children's centres: Cluster randomised controlled trial [Dataset]. http://doi.org/10.1371/journal.pone.0172584
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Toity Deave; Adrian Hawkins; Arun Kumar; Mike Hayes; Nicola Cooper; Michael Watson; Joanne Ablewhite; Carol Coupland; Alex Sutton; Gosia Majsak-Newman; Lisa McDaid; Trudy Goodenough; Kate Beckett; Elaine McColl; Richard Reading; Denise Kendrick
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundMany developed countries have high mortality rates for fire-related deaths in children aged 0–14 years with steep social gradients. Evidence-based interventions to promote fire safety practices exist, but the impact of implementing a range of these interventions in children’s services has not been assessed. We developed an Injury Prevention Briefing (IPB), which brought together evidence about effective fire safety interventions and good practice in delivering interventions; plus training and facilitation to support its use and evaluated its implementation.MethodsWe conducted a cluster randomised controlled trial, with integrated qualitative and cost-effectiveness nested studies, across four study sites in England involving children’s centres in disadvantaged areas; participants were staff and families attending those centres. Centres were stratified by study site and randomised within strata to one of three arms: IPB plus facilitation (IPB+), IPB only, usual care. IPB+ centres received initial training and facilitation at months 1, 3, and 8. Baseline data from children’s centres were collected between August 2011 and January 2012 and follow-up data were collected between June 2012 and June 2013. Parent baseline data were collected between January 2012 and May 2012 and follow-up data between May 2013 and September 2013. Data comprised baseline and 12 month parent- and staff-completed questionnaires, facilitation contact data, activity logs and staff interviews. The primary outcome was whether families had a plan for escaping from a house fire. Treatment arms were compared using multilevel models to account for clustering by children’s centre.Results1112 parents at 36 children’s centres participated. There was no significant effect of the intervention on families’ possession of plans for escaping from a house fire (adjusted odds ratio (AOR) IPB only vs. usual care: 0.93, 95%CI 0.58, 1.49; AOR IPB+ vs. usual care 1.41, 95%CI 0.91, 2.20). However, significantly more families in the intervention arms reported more behaviours for escaping from house fires (AOR IPB only vs. usual care: 2.56, 95%CI 01.38, 4.76; AOR IPB+ vs. usual care 1.78, 95%CI 1.01, 3.15).ConclusionOur study demonstrated that children’s centres can deliver an injury prevention intervention to families in disadvantaged communities and achieve changes in home safety behaviours.

  16. Ways to monitor home security in the United States and Canada 2019

    • statista.com
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    Statista, Ways to monitor home security in the United States and Canada 2019 [Dataset]. https://www.statista.com/statistics/1113466/ways-to-monitor-home-security-in-the-united-states-and-canada/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada, United States
    Description

    Having home security systems was more common among property owners than renters in the United States in Canada in 2019. Nearly 29 percent of the interviewed individuals who owned a property stated to receive alerts on their phone or laptop, whereas the corresponding figure for renters was approximately 18 percent.

  17. i

    Grant Giving Statistics for Safe Place Home

    • instrumentl.com
    Updated Aug 30, 2021
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    (2021). Grant Giving Statistics for Safe Place Home [Dataset]. https://www.instrumentl.com/990-report/safe-place-home
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    Dataset updated
    Aug 30, 2021
    Description

    Financial overview and grant giving statistics of Safe Place Home

  18. D

    Digital Home Safes Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 25, 2025
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    Data Insights Market (2025). Digital Home Safes Report [Dataset]. https://www.datainsightsmarket.com/reports/digital-home-safes-1894942
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Discover the booming digital home safe market! This comprehensive analysis reveals a projected $2.8B market by 2033, driven by smart home technology, rising security concerns, and increasing digital asset ownership. Learn about key players, regional trends, and growth opportunities.

  19. Individuals who suffered a domestic accident in Italy 2023, by occupation

    • statista.com
    Updated Oct 15, 2024
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    Statista (2024). Individuals who suffered a domestic accident in Italy 2023, by occupation [Dataset]. https://www.statista.com/statistics/1359720/domestic-accidents-by-occupation-italy/
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    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2023
    Area covered
    Italy
    Description

    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.

  20. d

    CMS COVID-19 Nursing Home Dataset

    • catalog.data.gov
    • data.ct.gov
    • +2more
    Updated Sep 27, 2025
    + more versions
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    data.ct.gov (2025). CMS COVID-19 Nursing Home Dataset [Dataset]. https://catalog.data.gov/dataset/cms-covid-19-nursing-home-dataset
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    Dataset updated
    Sep 27, 2025
    Dataset provided by
    data.ct.gov
    Description

    The Nursing Home COVID-19 Public File from the Centers for Medicare & Medicaid Services, filtered for Connecticut. View the full dataset and detailed metadata here. The Nursing Home COVID-19 Public File includes data reported by nursing homes to the CDC’s National Healthcare Safety Network (NHSN) system COVID-19 Long Term Care Facility Module, including Resident Impact, Facility Capacity, Staff & Personnel, and Supplies & Personal Protective Equipment, and Ventilator Capacity and Supplies Data Elements.

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Ministry of Housing, Communities and Local Government (2025). Fire statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/fire-statistics-data-tables

Fire statistics data tables

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92 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 23, 2025
Dataset provided by
GOV.UK
Authors
Ministry of Housing, Communities and Local Government
Description

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/">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.

Related content

Fire statistics guidance
Fire statistics incident level datasets

Incidents attended

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

Dwelling fires attended

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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