How to Assess Risk and Protect Your Property
Wildfire risk is increasing across the US. Federal data on fire departments, historical fire incidents, and community preparedness reveals patterns that homeowners can use to reduce their exposure.
A few large wildfires burn most of the acres
Share of total US wildfire acreage by fire size class
Background and Context
Wildfire risk is increasing across the US. Federal data on fire departments, historical fire incidents, and community preparedness reveals patterns that homeowners can use to reduce their exposure. PlainFireData draws from HIFLD, USFA, and FEMA datasets to provide fire department profiles, state fire safety rankings, and grant award histories. This guide explains what the data reveals and how to interpret it responsibly.
Fire service in the United States is highly decentralized. There is no single national fire department. Instead, over 25,000 individual departments serve communities ranging from dense urban cores to remote rural areas. Federal data captures the scale of this distributed system, but each department operates independently under state and local authority.
Understanding this landscape requires knowing what each federal dataset measures, what it misses, and how to cross-reference sources for a more complete picture. The following sections break down the key concepts and data dimensions relevant to this topic.
What Federal Fire Data Shows
What it tells you: HIFLD station-level data includes location, personnel counts, truck inventory, and EMS designation for over 53,000 fire stations. USFA provides state-level aggregates: total fires, fire deaths, injuries, and property losses. FEMA grant data shows which departments receive federal funding and for what purposes. Together, these sources create a multi-dimensional picture of fire service capacity across the country.
What it doesn't tell you: Federal data does not capture response times, training levels, equipment condition, or the quality of mutual aid agreements between departments. Staffing numbers in HIFLD reflect reported figures that may not match current rosters. Volunteer departments may show zero paid staff while having dozens of active volunteers.
How to use it: Browse fire department profiles for your area to see station counts, equipment, and personnel. Check state fire statistics for context on fire safety outcomes in your state. Review county coverage maps to understand the geographic distribution of fire stations near you.
Key Metrics and How to Interpret Them
When evaluating fire department data, several metrics provide the most insight. Station count per square mile indicates geographic coverage density. Personnel count (career vs. volunteer) indicates response capacity. Truck inventory (engines, ladders, tankers) indicates equipment capability. FEMA grant history indicates investment in modernization and training.
However, these metrics must be interpreted in context. A rural volunteer department with 2 stations covering 200 square miles serves a fundamentally different mission than an urban career department with 15 stations covering 30 square miles. Comparing them by the same metrics without adjustment is misleading.
The most meaningful comparisons are between departments serving similar community types: urban-to-urban, suburban-to-suburban, and rural-to-rural. PlainFireData groups departments by state and county to facilitate these comparisons.
Practical Applications of Fire Department Data
Fire department data serves several practical purposes for residents, researchers, and policymakers. Homeowners can assess fire protection coverage when choosing where to live or evaluating home insurance risk. Researchers can analyze geographic patterns in fire service capacity and outcomes. Policymakers can identify underserved areas that may benefit from additional funding or mutual aid agreements.
Insurance companies use fire protection data to set premiums through the Insurance Services Office (ISO) Public Protection Classification system, which rates communities from 1 (best) to 10 (no fire protection). While PlainFireData does not include ISO ratings, the underlying HIFLD data on station locations, equipment, and staffing is one of the inputs ISO uses in its classifications.
What This Means for You
Step 1 — Look up your area. Search for your county or department on PlainFireData to see what fire stations serve your community, their equipment, and their staffing model (career, volunteer, or combination).
Step 2 — Check state context. Visit the state page to see how your state compares on fire deaths, property losses, and department density. States with higher fire death rates may indicate systemic coverage gaps.
Step 3 — Review grant history. Departments that receive FEMA grants are investing in modernization. Check if departments in your area have received recent funding for equipment, training, or recruitment programs.
Step 4 — Understand limitations. Federal data is a starting point, not the complete picture. Contact your local fire department for current staffing, response times, and community programs. In an emergency, always call 911.
Underlying Data Sources for Wildfire Preparedness
Wildfire risk and preparedness guidance on this page synthesizes federal interagency wildfire data from the National Interagency Fire Center (NIFC), the U.S. Forest Service Wildfire Risk to Communities (WRC) project, the FEMA National Risk Index (NRI), and CAL FIRE's Hazard Severity Zone mapping for California-specific guidance.
NIFC publishes the canonical national fire-incident dataset (InciWeb) with active and historical records covering all federal, state, tribal, and major local incidents on federal jurisdictions. NIFC's annual situation reports document fire-season severity nationally. The U.S. Forest Service Wildfire Risk to Communities project provides community-level risk scores combining likelihood, intensity, and structural exposure.
FEMA's National Risk Index complements wildfire-specific data with multi-hazard county-level risk ratings. CAL FIRE's Hazard Severity Zones remain the gold standard for state-level wildland- urban-interface (WUI) risk mapping; their three-zone classification (Moderate, High, Very High) is the basis for California's residential building-code requirements in fire-prone areas.
We refresh NIFC and WRC data on each agency publication cycle, typically quarterly during fire season and annually off-season. FEMA NRI updates annually. CAL FIRE HSZ updates on a multi-year revision cycle. See the methodology page for current vintage.
Frequently Asked Questions
Where does PlainFireData get its fire department data?
Three federal sources: HIFLD (DHS/CISA) for 53,000+ stations, USFA for state-level fire statistics, and FEMA OpenFEMA for grant awards.
How current is fire department data?
HIFLD is updated periodically by DHS/CISA. USFA statistics reflect the most recent reporting year. Some stations may have changed since the last update.
Why might my local department not appear?
HIFLD coverage is not 100%. Smaller volunteer departments may not report. Absence from PlainFireData does not mean a lack of fire protection. Contact your local department directly.
Regional Variations in Wildfire Risk
Wildfire risk is heavily concentrated in the Western United States. California, Oregon, Washington, Idaho, Montana, Colorado, Arizona, New Mexico, Utah, and Nevada together account for the overwhelming majority of large wildfire incidents tracked by the National Interagency Fire Center (NIFC). The pattern reflects the Western fuel load (predominantly conifer forest and chaparral), the Mediterranean precipitation pattern that produces dry summer fire seasons, and the wildland-urban interface (WUI) growth that has placed millions of homes in fire-prone landscapes.
Fire-season length has expanded measurably since the 1980s. NIFC and the USFS Wildfire Risk to Communities project both document longer active-fire windows in the West, with shoulder-season fires (April-May, October-November) becoming routine. The pattern shifts the mutual-aid dynamic: peak-season requests from one Western state can no longer rely on an adjacent state being below capacity. Federal interagency coordination through NIFC has become the default response model for Type 1 incidents.
Outside the West, wildfire risk is significant in the Southeast pine belt (Florida, Georgia, the Carolinas), parts of Texas, and Plains states during drought years. Southeastern wildfires are typically smaller individual incidents but produce more interface-fire losses per acre because of the dispersed-housing pattern in pine forest. Northeastern wildfires are historically rare but increasing in shoulder seasons; the 2024 Jennings Creek Fire in New Jersey was a notable Northeastern incident.
Methodology note: wildfire risk scoring on this site references the USFS Wildfire Risk to Communities (WRC) model, the FEMA National Risk Index (NRI), and CAL FIRE Hazard Severity Zones. WRC is the most comprehensive national model; NRI provides county-level multi-hazard context; CAL FIRE is the gold standard for California-specific risk mapping but does not extend nationally. See the methodology page for our scoring framework.
Sources: HIFLD, Fire Stations; USFA, National Fire Statistics; FEMA, Assistance to Firefighters Grants.
Last updated: April 2026
