Guide

Fire Safety by State

What the Data Shows

Key Takeaway

Comparing State-Level Fire Statistics from USFA Data:USFA publishes state-level fire statistics including total fires, fire deaths, injuries, and property losses. These figures reveal significant variation in fire safety outcomes across the United States.

Leading causes of US home fires

Share of residential fires by cause

% of fires

What this shows Cooking is the leading cause, accounting for 49% of US home fires. Smoking materials cause a far larger share of deaths than fires — a reminder that the most common causes are not always the deadliest.

Source U.S. Fire Administration / NFPA residential fire cause estimates As of 2024

Background and Context

Comparing State-Level Fire Statistics from USFA Data:USFA publishes state-level fire statistics including total fires, fire deaths, injuries, and property losses. These figures reveal significant variation in fire safety outcomes across the United States. 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 State Fire-Safety Comparison

State-level fire-safety comparison on this page draws from the U.S. Fire Administration's National Fire Statistics rollup. USFA publishes annual structure-fire counts, fire-death counts, civilian injury counts, firefighter casualty counts, and estimated property loss by state. The data underlying these rollups is the National Fire Incident Reporting System (NFIRS), to which fire departments voluntarily report incident records.

NFIRS participation completeness varies by state. The U.S. Fire Administration publishes per-state participation rates as part of its annual statistical methodology disclosure. High-participation states (Pennsylvania, Texas, California, Florida) produce more reliable rates; lower-participation states (Mississippi, Wyoming, rural Plains states) require careful interpretation. Per-capita normalization should be paired with the participation-rate adjustment.

State fire-marshal offices publish complementary state-specific statistics that often differ from USFA federal rollups. The differences typically reflect what the state captures that NFIRS does not (e.g., commercial fire investigations) and vice versa. When state-level numbers diverge between sources, we cite both.

We refresh USFA statistics when USFA publishes its annual update (typically late fall for the prior calendar year). State fire-marshal statistics are referenced where they materially differ. 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 Fire-Safety Outcomes

Per-capita fire-death rates show stark regional differences. The U.S. Fire Administration's state-level statistics consistently identify the Southeast — Mississippi, Alabama, Arkansas, West Virginia, Louisiana — as the highest per-100,000 fire-death rate cluster, while California, New Jersey, Massachusetts, and New York report the lowest. The 5x spread between highest-rate and lowest-rate states reflects structural factors: housing stock age, supplemental heating prevalence in cold-weather rural areas, smoke-alarm adoption rates, and state fire-code adoption.

State fire-code adoption explains a meaningful share of the variation. California and Maryland are the only two states with statewide residential- sprinkler mandates for new single-family construction; both consistently rank among the lowest per-capita fire-death states. States that have adopted the 2018 or later International Residential Code (IRC) — which also mandates residential sprinklers in newer cohorts — show measurably lower fire-death rates in newer housing stock. Older states without such mandates show fire-death concentration in pre-1990 single-family stock.

Cause distribution shifts by climate zone. Cooking fires dominate everywhere (typically 49% of residential structure fires per NFPA), but heating-equipment fires climb to 14-18% of incidents in cold-weather states (North Dakota, Minnesota, Wisconsin, Maine) where supplemental heating runs longer. The seasonal pattern shows December-January as the annual peak in heating fires nationally, with the holiday season producing the cooking-fire peak.

Methodology note: USFA fire-statistics rollups use NFIRS data submitted by participating fire departments. Reporting completeness varies by state. Comparisons between states should account for the underlying NFIRS participation rate; states with higher participation produce more reliable per-capita rates. See the methodology page for normalization adjustments.

State-by-State Fire Death Rate Reference

Why state rates vary so widely

Fire death rates per million people range from roughly 5.0 in the safest states to over 22.0 in the highest-risk states. The spread reflects housing stock age, smoke-alarm penetration, EMS distance, and the urban-rural mix.

How NFIRS classifies fatal incidents

NFIRS Module 5 records cause, ignition factor, and human-factor data for every fatal fire reported through the National Fire Incident Reporting System. Coverage varies — about 75% of departments submit complete records.

Where USFA publishes the comparable totals

USFA's annual "Fire in the United States" rolls NFIRS into state-level totals adjusted for non-reporting departments. Treat it as the headline reference, then drill to the local NFIRS file for incident detail.

What policymakers actually use

State fire marshals lean on the per-capita death rate plus loss-per-fire to prioritize prevention investment. The two together separate states with many small fires from states with few but catastrophic ones.

Reference Table — Fire Death Indicators by State Type

Typical fire death and loss indicators by state archetype.
State archetype Death rate / million Property loss / fire Driving factor
Dense urban (CA, NJ) 5 – 9 $18,000 – $32,000 Code enforcement + EMS density
Suburban-mixed (TX, FL) 10 – 14 $25,000 – $45,000 Larger homes; longer response times
Rural (MS, AL, AR) 15 – 22 $30,000 – $80,000 Volunteer staffing; older housing stock
Wildland-urban interface (CO, MT, ID) 8 – 16 $60,000+ Wildfire severity; defensible-space gaps

Worked Example: Comparing Two Mid-Size States

Step 1 — Pull the headline figures

State A (rural-leaning): about 18 deaths per million people, with a typical year recording 240 fire deaths against a 3,400-incident NFIRS submission base.

Step 2 — Translate per-million into local terms

For a 50,000-population county within State A, the implied annual deaths are about 0.9 per year — small absolute counts that nonetheless flag the underlying risk pattern.

Step 3 — Add property loss to the picture

State A property loss runs roughly $42,000 per fire, while State B (urban) runs about $24,000 per fire — driven by older housing stock and longer rural response times rather than larger physical damage per dollar.

Step 4 — Compare on outcomes per dollar

Comparison: 18 deaths/million vs 8 deaths/million is a 125% gap, while $42,000 vs $24,000 in property loss is only a 75% gap — the human toll widens faster than the dollar toll, which is why per-million death rates carry more weight in prevention planning.

Step 5 — Decide on intervention

Targeted FP&S smoke-alarm and code-enforcement programs in State A's most-affected counties consistently halve excess fatalities within five years where AFG-funded staffing also rises in parallel.

Sources: HIFLD, Fire Stations; USFA, National Fire Statistics; FEMA, Assistance to Firefighters Grants.

Last updated: April 2026