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The U. S. Fire Administration tracks and collects information on the causes of on-duty firefighter fatalities that occur in the United States. We conduct an annual analysis to identify specific problems so that we may direct efforts toward finding solutions that will reduce firefighter fatalities in the future.

Acknowledgements

This study of firefighter fatalities would not have been possible without members of individual fire departments, chief fire officers, fire service organizations, the National Fire Protection Association, and the National Fallen Firefighters Foundation.

Incident-based fire statistics, by type of casualty, age group of casualty, status of casualty and type of structure, Canada, Nova Scotia, New Brunswick, Ontario, Manitoba, Saskatchewan, Alberta, British Columbia, Yukon, Canadian Armed Forces, 2005 to 2021.

The U.S. Fire Administration collects data from a variety of sources to provide information and analyses on the status and scope of the fire problem in the United States. We use these data to highlight current and emerging trends in fires including what causes fires where they occur and who is impacted the most by fire. We also analyze the circumstances surrounding on-duty firefighter casualties to help identify approaches that can reduce the number of deaths and injuries in future years.

This dataset includes a table of the VOC concentrations detected in firefighter breath samples. QQ-plots for benzene, toluene, and ethylbenzene levels in breath samples as well as box-and-whisker plots of pre-, post-, and 1 h post-exposure breath levels of VOCs for firefighters participating in attack, search, and outside ventilation positions are provided. Graphs detailing the responses of individuals to pre-, post-, and 1 h post-exposure concentrations of benzene, toluene, and ethylbenzene are shown. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The original dataset contains identification information for the firefighters who participated in the controlled structure burns. The analyzed tables and graphs can be made publicly available. Format: The original dataset contains identification information for the firefighters who participated in the controlled structure burns. The analyzed tables and graphs can be made publicly available. This dataset is associated with the following publication: Wallace, A., J. Pleil, K. Oliver, D. Whitaker, S. Mentese, K. Fent, and G. Horn. Targeted GC-MS analysis of firefighters’ exhaled breath: Exploring biomarker response at the individual level. JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 16(5): 355-366, (2019).

Fire Stations in the United States Any location where fire fighters are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Fire Departments not having a permanent location are included, in which case their location has been depicted at the city/town hall or at the center of their service area if a city/town hall does not exist. This dataset includes those locations primarily engaged in forest or grasslands fire fighting, including fire lookout towers if the towers are in current use for fire protection purposes. This dataset includes both private and governmental entities. Fire fighting training academies are also included. TGS has made a concerted effort to include all fire stations in the United States and its territories. This dataset is comprised completely of license free data. The HSIP Freedom Fire Station dataset and the HSIP Freedom EMS dataset were merged into one working file. TGS processed as one file and then separated for delivery purposes. Please see the process description for the breakdown of how the records were merged. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based upon this field, the oldest record dates from 01/03/2005 and the newest record dates from 01/11/2010.Homeland Security Use Cases: Use cases describe how the data may be used and help to define and clarify requirements. 1. An assessment of whether or not the total fire fighting capability in a given area is adequate. 2. A list of resources to draw upon by surrounding areas when local resources have temporarily been overwhelmed by a disaster - route analysis can determine those entities that are able to respond the quickest. 3. A resource for Emergency Management planning purposes. 4. A resource for catastrophe response to aid in the retrieval of equipment by outside responders in order to deal with the disaster. 5. A resource for situational awareness planning and response for Federal Government events.

Link to Data Dictionary : https://rochesterny.maps.arcgis.com/sharing/rest/content/items/dbc4cc3c88ca49d2b46c8e059e77bb1f/dataDataset Description:This dataset contains historical fire incident reports from the Rochester Fire Department, covering the period from January 1, 1980, to December 31, 2005. The data includes fields such as the date and time of incidents, the location of the incident (with cleaned address data), and whether there were any casualties or property damage.

Data Source:This data was sourced from a paper process and legacy mainframe system used by the Rochester Fire Department prior to 2006. More recent data (from 2006 onward) is stored in a newer system and is not yet available for public release.

Purpose of Release:This dataset is being released in response to multiple Freedom of Information Law (FOIL) requests. By making the data publicly available, the City of Rochester aims to improve transparency and reduce the administrative burden associated with individual FOIL requests.

Data Cleaning:To prepare the dataset for public release:

• Personally Identifiable Information (PII) has been removed.

• A cleaned address column has been added to support geocoding and location-based analysis, while maintaining privacy.

Key Fields:This dataset contains 165 columns of data which is outlined. The full data dictionary with attachments are included. Link to Data Dictionary : https://rochesterny.maps.arcgis.com/sharing/rest/content/items/dbc4cc3c88ca49d2b46c8e059e77bb1f/data

• RFDKEY: Unique identifier for each incident.

• RFITIME: The date the incident occurred.

• INJRYCIV: Civilian or firefighter injuries or a total for both if both occurred.

• STR_NAME_&_SUFFIX_NEW: Cleaned address (geocodable) of where the incident occurred.

Known Limitations:• No Data After 2005: This dataset covers incidents up to the end of 2005 only. Fire incidents that occurred after 2005 are stored in a different system, and the data is not yet ready for public release.

• Casualty: Casualty figures are based on reports filed at the time of the incident and may not reflect later revisions or corrections.

• Personally Identifiable Information: Personally identifiable information has been removed from this data set.

How to Use This Data:This dataset is suitable for analyzing trends in fire incidents over time, understanding the frequency and distribution of different types of fire incidents, and evaluating the response to incidents in different areas of Rochester.

• Example Questions You Can Answer:

• How many fatal fires occurred between 1980 and 2005?

• Which neighborhoods experienced the most fire incidents in the 1990s?

• What was the average property damage caused by fires in 2000?

Suggested Use Cases:

• Journalists: Reporters can use this data to identify trends and patterns in fire incidents over time and in different parts of the city.

• Researchers: Academics can analyze the data to study the long-term impacts of fire safety initiatives or the correlation between fire incidents and other urban factors.

• Public: Citizens can use the data to understand the history of fire safety in their neighborhoods and the response patterns of the Rochester Fire Department.

Important Context for Users:This dataset is historical and represents data collected from 1980 to 2005. It was extracted from a paper record and manual entry into a legacy system and reflects the standards and reporting practices of that time. While every effort has been made to clean and prepare the data, there may be some inconsistencies due to the transition from the old system.

Some records may contain unusually high or low values for casualty counts, property damage estimates, or incident types. These outliers have been retained to maintain the dataset’s integrity but should be interpreted cautiously. Users are encouraged to cross-reference outliers with additional contextual data where possible.

Users should be mindful that this dataset does not include data beyond 2005, and any analysis involving more recent trends will require data from newer systems, which is not yet available. For any conclusions drawn, users should account for these limitations and the possibility of updates in the future.Additional instructions on data usage and interpretation: RFD Historical Data - Attachments

This dataset lists the Name, Rank, Fire Department, Date of Death, Current Location on Memorial Wall of each Firefighter whose name has been engraved on the wall.

The Grant Programs Directorate strategically and effectively administers and manages FEMA grants to ensure critical and measurable results for customers and stakeholders. The grants represented in this dataset are Preparedness (Non-Disaster or ND) Grants and Assistance to Firefighters Grants (AFG).rnrnND Grants and AFG are awarded and managed differently within the Grants Program Directorate (GPD) and should be treated with discretion.rnrnThe only measure in this dataset is Award Amount. It is an additive measure that can be applied across multiple dimensions to create various views of the data.rnrnAFG awards are assigned to individual Fire Departments. ND Grants are typically assigned to state agencies; however, exceptions do exist such as Port Security Grant Program which is assigned to port areas and not States. It is important to know that when looking at Award Amount by State it does not mean the State actually received that money. In addition, some grant programs may have pass-through requirements where the recipient State is required to sub-grant a minimum amount of the award and only retain a portion of the award.rnrnGrants guidance is described in the Funding Opportunity Announcement (FOA). Each grant program has its own grant guidance containing eligibility requirements, program objectives, and funding restrictions which are published annually. FOAs are public documents and may be found online at www.fema.gov/grants.rnrnFor more information on grants, visit https://www.fema.gov/grants/preparedness and https://www.fema.gov/grants/preparedness/firefighters rnrnIf you have media inquiries about this dataset, please email the FEMA News Desk at FEMA-News-Desk@dhs.gov or call (202) 646-3272. For inquiries about FEMA's data and Open Government program, please email the OpenFEMA team at OpenFEMA@fema.dhs.gov.

This dataset is a subset of the National Fire Department Census which provides an address listing of U.S. fire departments registered with U.S. Fire Administration (USFA) as well as some basic information about each fire department. The purpose of the census is to create a national database for use by the fire protection and prevention communities, allied professions, the general public and the U.S. Fire Administration (USFA). USFA uses the database to conduct special studies, guide program decisionmaking, and to improve direct communication with individual fire departments.

This dataset includes a list of chemicals used to create the ChromGenius retention time prediction model used for validation of non-targeted compounds. The list of identified non-targeted compounds in the samples is also provided. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: By viewing the analyzed spreadsheets attached to the Journal Article. Format: The original dataset contains identification information for the firefighters who participated in the controlled structure burns. The analyzed data can be made publicly available.

This dataset is associated with the following publication: Wallace, A., J. Pleil, K. Oliver, D. Whitaker, S. Mentese, K. Fent, and G. Horn. Non-targeted GC/MS analysis of exhaled breath samples: Exploring human biomarkers of exogenous exposure and endogenous response from professional firefighting activity. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A: CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 82(4): 244-260, (2019).

This dataset contains points for fire stations that were initially identified from DC Fire and EMS Department records and heads-up digitized from 2002 orthophotographs, and have been updated based on current conditions.

Wildfire Suppression Difficulty Index (SDI) 90th Percentile is a rating of relative difficulty in performing fire control work under regionally appropriate fuel moisture and 15 mph uphill winds (@ 20 ft).SDI (Rodriguez y Silva et al. 2020) factors in topography, fuels, expected fire behavior under prevailing conditions, fireline production rates in various fuel types with and without heavy equipment, and access via roads, trails, or cross-country travel. SDI is currently classified into six categories representing low through extreme difficulty. Extreme SDI zones represented in red are “watch out” situations where engagement is likely to be very challenging given the combination of potential high intensity fire behavior and difficult suppression environment (high resistance fuel types, steep terrain, and low accessibility). Low difficulty zones represented in blue indicate areas where some combination of reduced potential for dangerous fire behavior and ideal suppression environment (low resistance fuel types, mellow terrain, and high accessibility) make suppression activities easier. SDI does not account for standing snags or other overhead hazards to firefighters, so it is not a firefighter hazard map. It is only showing in relative terms where it is harder or easier to perform suppression work. SDI incorporates flame length and heat per unit area from basic FlamMap runs (Finney et al. 2019). SDI is based on fire behavior modeled using regionally appropriate percentile fuel moisture conditions and uphill winds. This product uses the wind blowing uphill option to represent a consistent worst-case scenario. Input fuels data are updated to the most recent fire year using a crosswalk for surface and canopy fuel modifications for fires and fuel treatments that occurred after the most recent LANDFIRE version. For example, LANDFIRE 2016 model inputs are modified to incorporate fires (Monitoring Trends in Burn Severity (MTBS), Geospatial Multi- Agency Coordination (GeoMac), and Wildland Fire Interagency Geospatial Services (WFIGS) and fuel treatments (USFS Forest Activity Tracking System (FACTS) and DOI National Fire Plan Operations and Reporting System (NFPORS) hazardous fuels reduction treatments) from 2017-present. Road and trail inputs are developed from a combination of HERE 2020 Roads, USFS, and DOI road and trails databases. Hand crew and dozer fireline production rates are from FPA 2012 (Dillon et al. 2015). Classification of topography and accessibility thresholds are detailed in Rodriguez et al. (2020). Dillon, G.K.; Menakis, J.; Fay, F. (2015) Wildland Fire Potential: a tool for assessing wildfire risk and fuels management needs. In: Keane, R.E.; Jolly, M.; Parsons, R.; Riley, K., eds. Proceedings of the large wildland fires conference; May 19-23, 2014; Missoula, MT. Proc. RMRS-P-73. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 345 p. Finney, M.A.; Brittain, S.; Seli, R.C.; McHugh, C.W.; Gangi, L. (2019) FlamMap:Fire Mapping and Analysis System (Version 6.0) [Software]. Available from https://www.firelab.org/document/flammap-software Rodriguez y Silva, F.; O'Connor, C.D.; Thompson, M.P.; Molina, J.R.; Calkin, D.E. (2020). Modeling Suppression Difficulty: Current and Future Applications. International Journal of Wildland Fire.

Any location where fire fighters are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Fire Departments not having a permanent location are included, in which case their location has been depicted at the city/town hall or at the center of their service area if a city/town hall does not exist. This dataset includes those locations primarily engaged in forest or grasslands fire fighting, including fire lookout towers if the towers are in current use for fire protection purposes. This dataset includes both private and governmental entities. Fire fighting training academies are also included. This dataset is comprised completely of license free data. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based upon this field, the oldest record dates from 08/31/2005 and the newest record dates from 05/30/2008. Purpose Homeland Security Use Cases: Use cases describe how the data may be used and help to define and clarify requirements. 1. An assessment of whether or not the total fire fighting capability in a given area is adequate. 2. A list of resources to draw upon by surrounding areas when local resources have temporarily been overwhelmed by a disaster - route analysis can determine those entities that are able to respond the quickest. 3. A resource for Emergency Management planning purposes. 4. A resource for catastrophe response to aid in the retrieval of equipment by outside responders in order to deal with the disaster. 5. A resource for situational awareness planning and response for Federal Government events.

Fire station locations

Updated February 2024. Snags continue to pose an ever-present hazard to responders, and recent increases in fire activity have resulted in an accumulation of these hazards across forested landscapes of the American West. National Snag Hazard is intended to provide a landscape-level view of existing snag hazard to firefighters and other field going employees. National Snag hazard is based on estimated density and median height of snags greater than or equal to 7.9 inches in diameter at breast height. Snag density and median snag height are classified into hazard levels using the breakpoints from Dunn et al. 2019, which are based on the logic that hazard increases with snag density and height. Dunn CJ, O’Connor CD, Reilly MJ, Calkin DE, Thompson MP (2019) Spatial and temporal assessment of responder exposure to snag hazards in post-fire environments. Forest Ecology and Management 441, 202-2014. DOI:10.1016/j.foreco.2019.03.035 This is a strategic landscape level decision support tool intended to help firefighters consider the magnitude and spatial distribution of snag hazard in their incident response strategy planning. Valid uses include identifying areas of higher snag hazard locations on landscape that may require extra mitigation for safe operation or could be avoided to reduce risk to responders. The snag hazard map is not meant to identify individual dead trees or for tactical planning. A rating of low snag hazard does not mean that no overhead hazards are present and should not be interpreted as judgement that an area is safe to occupy. Conditions should always be verified in the field. High levels of awareness for overhead hazards are always recommended regardless of the snag hazard rating.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.

Incident-based fire statistics, by type of fire incident, Canada, Nova Scotia, New Brunswick, Ontario, Manitoba, Saskatchewan, Alberta, British Columbia, Yukon, Canadian Armed Forces, 2005 to 2021.

IntroductionTo perform their work efficiently and safely, firefighters should maintain all aspects of physical fitness. Cardiac-related incidents are the leading cause of duty-related deaths in firefighters, and many firefighters have poor musculoskeletal health (MSH) that hinder their occupational performance (OP). Establishing the relationship between physical fitness, cardiovascular health (CVH), MSH and OP may add new insight on the most significant factors influencing OP in firefighters, specifically in the City of Cape Town Fire and Rescue Service (CoCTFS), which had not been studied before. Therefore, the purpose of this study was to investigate whether physical fitness, CVH and MSH were associated with OP in firefighters, in the COCTFRS.MethodsThis cross-sectional study included 283 full-time firefighters aged 20–65 years from Cape Town, South Africa. A researcher-generated questionnaire was used to collect data on sociodemographic characteristics, lifestyle factors and MSH. Physical measures were used to collect information on physical fitness, CVH, and OP [using a physical ability test (PAT)]. Linear and binary logistic regressions, adjusted for age, sex, height and weekly metabolic equivalent minutes (WMETM), multivariate analysis of covariance (MANCOVA), adjusted for age, sex, height and body mass index (BMI) and backward stepwise regressions were used to investigate the associations between the various constructs.ResultsFrom multivariable analyses, age, lean body mass, body fat percentage (BF%), estimated absolute oxygen consumption (abV̇O2max), grip strength, leg strength, push-ups, sit-ups, WMETM and heart rate variability were associated with PAT completion times (all p 

Data set listing the interventions carried out by the Montreal Fire Safety Service (SIM), including the location of interventions and the units deployed since 2005. This data is taken from the Workstation Assisted Dispatch System (RAO), a central subsystem of the intervention management system that allows real-time management, vehicle dispatch and operational monitoring of interventions. This data is collected to produce reports required by the Ministry of Public Security and required for the SIM. It also makes it possible to compile statistics in order to disseminate information to citizens, the media and insurers.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This dataset contains point features representing building locations of fire stations in the United States, District of Columbia, Puerto Rico and the U.S. Virgin Islands. The purpose of this collection is to represent the fire station locations on general purpose cartographic products. The data includes manned fire stations and buildings from which a fire response occurs, such as a volunteer fire department building to which fire fighters report for duty, but which is not continuously manned. The data includes both private and governmental entities. In some cases, where fire stations are known to exist but could not be located on a specific building, such as on a military base, airport or manufacturing location, a point was placed at the entrance or the general center of the facility or complex. Some fire locations are approximate, most prevalently in rural areas. Fire training facilities are not included unless these locations also have an active fire station. Locations solely for storing or maintaining fire equipment, or fire stations without a permanent location, were generally excluded.