In 2022, fires in the United States caused property loss of over 18 billion U.S. dollars. This is an increase from the previous year, when fires caused about 15.96 billion U.S. dollars in property loss.

In 2021, property loss caused by fires in structures in the United States amounted to about 12.75 billion U.S. dollars. On the other hand, 1.54 billion U.S. dollars worth of property damage occurred in fires in highway vehicles.

Additional fields such as Category and Structure Type are based off fields needed in the Incident Status Summary (ICS 209).

Please review the DINS database dictionary for additional information.

This statistic displays the value of property damage caused by fires in structures in the United States between 2010 and 2014, broken down by structure status. Between this period, fires in structures that were under construction caused direct property damage totaling 172 million U.S. dollars.

This is the schema developed and used by the CAL FIRE Office of State Fire Marshal to assess and record structure damage on wildland fire incidents. The schema is designed to be configured in the ESRI Collector/Field Maps app for data collection during or after an incident. The user must download the database and upload to their organization for data collection. The geodatabase is configured to only show attributes that need to be collected in the field, while other attributes are to be populated post processing.

Additional fields such as Category and Structure Type are based off of fields needed in the Incident Status Summary (ICS 209).

Damage Percentage
Description

1-9% Affected Damage

10-25% Minor Damage

26-50% Major Damage

51-100% Destroyed

No Damage
No Damage

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.

In 2021, there were about 1,353,500 fires reported in the United States which caused about 15.96 billion U.S. dollars worth of property damage. This was a decrease from the previous year, where 21.9 billion U.S. dollars worth of property damage occurred.

Provide statistics on the damage and financial losses caused by the fire in this city in terms of houses and various vehicles.

In 2021, property loss in apartment structures due to fire amounted to about 1.73 billion U.S. dollars. A further 6.97 billion U.S. dollars of property damage from structure fires occurred in one- and two-family homes.

This dataset contains Connecticut Fire Department Incidents as reported to the National Fire Department Incident Reporting System (NFIRS).

Note that some years have far more entries than other years. In particular, they detail "False Alarm and False Calls" and "Rescue and Emergency Medical Service (EMS) Incidents"

NFIRS collects details on Fire, HazMat and EMS incidences nationwide, detailing the type of incident, where it occurred, the resources used to mitigate it and more, with a goal of understanding the nature and causes of the incidents. Information is also collected on the number of civilian or firefighter casualties and an estimate of property loss.

Participation in NFIRS is voluntary.

Data is released yearly, with a considerable delay.

Each Incidence is assigned a 3 digit Incidence Type Code. The code describes the situation emergency personnel found when they arrived. Incidence Types are grouped into larger categories, called Series.

For example, Series 400, 'Hazardous Condition' category includes incidence types: 411, 'Gasoline or other flammable liquid spill; 412, 'Gas leak and 413, 'Oil or other combustible liquid spill '.

Not every Incidence Type is included in the data. In 2012, 2013, 2014 and 2015, the NFIRS data releases contained these Series/Incidence Types:

Series 100: Fire Incidences, Series 400: Hazardous Condition (No Fire), Incidence Type 561: Unauthorized burning, under the 'Service Call' Series, Incidence Type 631: Authorized Controlled Burning, under the 'Good Intent Call' series and Incidence Type 632: Prescribed fires also under the 'Good Intent Call' series.

The 2014 and 2016 releases included these additional series:

200: Overpressure Rupture, Explosion, Overheat (No Fire), 300: Rescue and Emergency Medical Service (EMS) Incidents, 500: Service Calls, 600: Good Intent Call Series, 700: False Alarm and False Call, 800 Severe Weather and Natural Disaster 900: Special Incident Type.

The official NFIRS documentation has been attached to this dataset.

This dataset does not contain all the detail available in the NFIRS database. If after reviewing the documentation, you find additional information you would like added to the dataset, please let us know.

In 2022, the losses due to fire outbreaks in Japan amounted to approximately 101.74 billion Japanese yen. The previous nine years saw a general downward trend, with damage costs dropping as low as approximately 75.2 billion yen in 2016, but the most recent figures indicate a return to the status prior to 2012.

This table lists the incident number, incident date, incident type and dollar loss where property loss/damage due to fire occurred.Dashboard

The dataset contains over 18,000 images of homes damaged by wildfire between 2020 and 2022 in California, USA, captured by the California Department of Forestry and Fire Protection (Cal Fire) during the damage assessment process. The dataset spans across more than 18 wildfire events, including the 2020 August Complex Fire, the first recorded "gigafire" event in California where the area burned exceeded 1 million acres. Each image, corresponding to a built structure, is classified by government damage assessors into 6 different categories: No Damage, Affected (1-9%), Minor (10-25%), Major (26-50%), Destroyed (>50%), and Inaccessible (image taken but not assessment made). While over 57,000 structures were evaluated during the damage assessment process, only about 18,000 contains images; additional data about the structures, such as the street address or structure materials, for both those with and without corresponding images can be accessed in the "Additional Attribute Data" file.

The 18 wildfire events captured in the dataset are:

[AUG] August Complex (2020)

[BEA] Bear Fire (2020)

[BEU] BEU Lightning Complex Fire (2020)

[CAL] Caldor Fire (2021)

[CAS] Castle Fire (2020)

[CRE] Creek Fire (2020)

[DIN] DINS Statewide (Collection of Smaller Fires, 2021)

[DIX[ Dixie Fire (2021)

[FAI] Fairview Fire (2022)

[FOR] Fork Fire (2022)

[GLA] Glass Fire (2020)

[MIL] Mill Mountain Fire (2022)

[MON] Monument Fire (2021)

[MOS] Mosquito Fire (2022)

[POST] Post Fire (2020)

[SCU] SCU Complex Fire (2020)

[VAL] Valley Fire (2020)

[ZOG] Zogg Fire (2020)

The author retrieved the data, originally published as GIS features layers, from from the publicly accessible CAL FIRE Hub, then subsequently processed it into image and tabular formats. The author collaborated with Cal Fire in working with the data, and has received explicit permission for republication.

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.

This statistic shows the amount of direct property damage caused by house fires due to burning Christmas trees in the United States from 2000 to 2015. In 2008, the direct property damage amounted to 25.2 million U.S. dollars.

This layer contains the fire perimeters from the previous calendar year, and those dating back to 1878, for California. Perimeters are sourced from the Fire and Resource Assessment Program (FRAP) and are updated shortly after the end of each calendar year. Information below is from the FRAP web site. There is also a tile cache version of this layer.About the Perimeters in this LayerInitially CAL FIRE and the USDA Forest Service jointly developed a fire perimeter GIS layer for public and private lands throughout California. The data covered the period 1950 to 2001 and included USFS wildland fires 10 acres and greater, and CAL FIRE fires 300 acres and greater. BLM and NPS joined the effort in 2002, collecting fires 10 acres and greater. Also in 2002, CAL FIRE’s criteria expanded to include timber fires 10 acres and greater in size, brush fires 50 acres and greater in size, grass fires 300 acres and greater in size, wildland fires destroying three or more structures, and wildland fires causing $300,000 or more in damage. As of 2014, the monetary requirement was dropped and the damage requirement is 3 or more habitable structures or commercial structures.In 1989, CAL FIRE units were requested to fill in gaps in their fire perimeter data as part of the California Fire Plan. FRAP provided each unit with a preliminary map of 1950-89 fire perimeters. Unit personnel also verified the pre-1989 perimeter maps to determine if any fires were missing or should be re-mapped. Each CAL FIRE Unit then generated a list of 300+ acre fires that started since 1989 using the CAL FIRE Emergency Activity Reporting System (EARS). The CAL FIRE personnel used this list to gather post-1989 perimeter maps for digitizing. The final product is a statewide GIS layer spanning the period 1950-1999.CAL FIRE has completed inventory for the majority of its historical perimeters back to 1950. BLM fire perimeters are complete from 2002 to the present. The USFS has submitted records as far back as 1878. The NPS records date to 1921.About the ProgramFRAP compiles fire perimeters and has established an on-going fire perimeter data capture process. CAL FIRE, the United States Forest Service Region 5, the Bureau of Land Management, and the National Park Service jointly develop the fire perimeter GIS layer for public and private lands throughout California at the end of the calendar year. Upon release, the data is current as of the last calendar year.The fire perimeter database represents the most complete digital record of fire perimeters in California. However it is still incomplete in many respects. Fire perimeter database users must exercise caution to avoid inaccurate or erroneous conclusions. For more information on potential errors and their source please review the methodology section of these pages.The fire perimeters database is an Esri ArcGIS file geodatabase with three data layers (feature classes):A layer depicting wildfire perimeters from contributing agencies current as of the previous fire year;A layer depicting prescribed fires supplied from contributing agencies current as of the previous fire year;A layer representing non-prescribed fire fuel reduction projects that were initially included in the database. Fuels reduction projects that are non prescribed fire are no longer included.All three are available in this layer. Additionally, you can find related web maps, view layers set up for individual years or decades, and tile layers here.Recommended Uses There are many uses for fire perimeter data. For example, it is used on incidents to locate recently burned areas that may affect fire behavior (see map left).Other uses include:Improving fire prevention, suppression, and initial attack success.Reduce and track hazards and risks in urban interface areas.Provide information for fire ecology studies for example studying fire effects on vegetation over time. Download the Fire Perimeter GIS data hereDownload a statewide map of Fire Perimeters hereSource: Fire and Resource Assessment Program (FRAP)

Get data on forest fires, compiled annually for the National Forestry Database

The National Forestry Database includes national forest data and forest management statistics to seve as a credible, accurate and reliable source of information on forest management and its impact on the forest resource.

Forest fire data is grouped into eight categories, which are further broken down by geographic location. These include:

• number of fires by cause class and response category
• area burned by cause class and response category
• number of fires by month and response category
• area burned by month and response category
• number of fires by fire size class and response category
• area burned by fire size class and response category
• area burned by productivity class, stocking class, maturity class and response category
• other fire statistics, such as property losses

Use this app to examine the known status of structures damaged by the wildfire. If a structure point does not appear on the map it may still have been impacted by the fire. Specific addresses can be searched for in the search bar. Use the imagery and topographic basemaps and photos to positively identify a structure. Photos may only be available for damaged and destroyed structures.

For more information about the wildfire response efforts, visit the CAL FIRE incident page.