Data Guide 7 min read

Understanding Campus Fire Safety Data

PlainCampus Editorial Published June 5, 2026

What the fire safety statistics on campus profiles mean, how fire categories work, and what to look for when evaluating residential fire safety at colleges.

Why Campus Fire Safety Matters

Between 2000 and 2023, more than 130 campus-related fire fatalities have been documented in the United States. Most occurred in off-campus housing, but on-campus residential fires also pose real risks — especially in older dormitories without modern sprinkler systems.

The Clery Act requires institutions to publish fire statistics for on-campus student housing facilities. PlainCampus tracks this data on every school's profile, including total fires, injuries, deaths, and fire damage categories.

How Fire Categories Work

Campus fires are classified into three categories based on property damage:

**Category I**: Fires causing $0–$99 in damage. These are typically cooking mishaps, small trash fires, or electrical shorts caught early. High Category I counts often indicate good detection systems catching fires before they spread.

**Category II**: Fires causing $100–$999 in damage. These represent more significant incidents that caused meaningful property damage but were contained.

**Category III**: Fires causing $1,000 or more in damage. These are serious fires that caused substantial destruction and may have threatened lives.

When evaluating a school, pay attention to the category distribution. A school with many Category I fires but zero Category II/III fires likely has effective detection and response systems.

What to Check on Campus

When visiting a potential school, evaluate fire safety infrastructure:

# In Residence Halls

**Sprinkler systems** — Are all residence halls fully sprinklered? Older buildings may have partial coverage or none

**Smoke detectors** — Are they hardwired with battery backup, or battery-only? Are they in every room or just common areas?

**Fire extinguishers** — Are they visible and within expiration date?

**Exit signage** — Are exits clearly marked with illuminated signs?

**Stairwell access** — Are stairwells clear and unlocked from inside?

# On Campus

**Fire hydrant placement** — Are hydrants near all residential buildings?

**Fire lane access** — Can fire trucks access all buildings?

**Alarm testing** — How frequently are fire alarms tested?

**Evacuation plans** — Are evacuation routes posted in each building?

Reading PlainCampus Fire Data

Each institution's profile includes a Fire Safety section with annual data. Key metrics:

**Total Fires** — All reported fires in on-campus student housing

**Injuries** — Fire-related injuries requiring medical treatment

**Deaths** — Fire-related fatalities

**Category breakdown** — Distribution across damage categories

A school with zero fires reported may have excellent fire prevention — or may have residential facilities not captured in the Clery reporting geography. Schools with many fires but zero injuries typically have strong evacuation procedures.

Cross-Reference with PlainFireData

For community-level fire data including local fire department response capabilities, visit PlainFireData. Knowing the nearest fire department's staffing, equipment, and response territory can add important context to campus fire safety data.

Fire Prevention Best Practices for Students

1. Never tamper with smoke detectors or fire alarms

2. Don't overload electrical outlets or use extension cords as permanent wiring

3. Never leave cooking unattended — the #1 cause of campus fires

4. Keep exits clear and know your evacuation route

5. If you smell gas or see sparks, report immediately — don't wait

Explore Campus Safety Data

Browse All Schools Safety Rankings Compare Schools

Read our methodology — how this data is sourced, computed, and verified.

Browse all → | Rankings →

Data sourced from official U.S. government datasets. See our methodology for details. Retrieved and formatted by PlainCampus Editorial

Understanding the Data

The information presented throughout this guide is informed by publicly available public records published by federal and state government agencies. Our database aggregates and standardizes these records to make them more accessible and easier to interpret for general audiences. When we reference specific statistics or trends, they are drawn directly from these authoritative sources unless explicitly noted otherwise.

It is important to understand the limitations of any large-scale data dataset. Records may contain errors from the original data collection process, some fields may be incomplete for older entries, and classification systems may have changed over time. Our analysis accounts for these factors by clearly labeling data vintage, flagging records with missing critical fields, and noting when temporal comparisons span methodology changes in the source data.

For readers who want to conduct their own research, we recommend going directly to the source whenever possible. federal and state government agencies provides detailed documentation on collection methodology, sampling frames, and known data quality issues. Our goal is not to replace primary sources but to make them more approachable and to highlight patterns that may not be immediately obvious when browsing raw records.

How We Analyze Data Records

Our analytical approach involves several steps designed to surface meaningful insights from large datasets. First, we clean and standardize the raw data, handling variations in naming conventions, date formats, and categorical labels. Then we compute summary statistics, distributions, and comparative benchmarks across relevant dimensions such as geography, time period, and category type.

Key metrics we examine include statistical records, geographic distributions, temporal trends. These indicators provide a multi-dimensional view of each entity in our database, allowing users to understand not just individual records but how they compare to peers, regional averages, and national benchmarks. We believe this contextual approach is far more valuable than presenting raw numbers in isolation.

Reviewed byPlaincampus Editorial, Campus Safety Editorial Team · June 5, 2026

Sources: FBI UCR program · U.S. Department of Education Clery Act database · HUD affordable housing

A worked example

Consider a household earning $75,000 per year facing an annual cost of $18,000 for the service this guide covers. Their cost-to-income ratio is 24% — below the 30% red-line that federal affordability frameworks use to flag burden. By comparison, a household at $45,000 facing the same $18,000 cost lands at 40% — well into severely-burdened territory under the same definitions.

Where to dig deeper

The methodology page documents exactly which federal series we draw from, how we weight regional differences, and the reference period for each metric. The research section publishes original analyses derived from the same underlying database — useful when you want to see year-over-year shifts or peer-jurisdiction comparisons that the per-page detail views don't surface.

Threshold	Federal definition	Practical meaning
Below 7%	Affordable	Comfortable margin for unexpected expenses
7-30%	Moderate burden	Manageable but constrains discretionary spending
Above 30%	Burdened	HUD definition — qualifies for federal subsidy programs
Above 50%	Severely burdened	Trade-offs with food, healthcare, savings

Frequently asked questions

Where does this data come from?

All figures on this page derive from official federal data — primarily the U.S. Bureau of Labor Statistics, U.S. Census Bureau, U.S. Department of Health and Human Services, and U.S. Department of Labor. We cite the underlying agency and series in the methodology section. No proprietary aggregators are used.

How often are figures updated?

Each series follows its own publication cadence. We refresh our database within 30 days of each upstream release. Specific update timestamps appear in the page footer where available; the methodology page documents the cadence per data series.

Can I use this data for my own analysis?

Yes. The underlying federal data is public domain. Our presentation, calculations, and editorial commentary are licensed for individual reference. For commercial republication or large-scale data extraction, contact us at the email listed on the contact page.

What if the figures here disagree with another source?

Different sources use different methodologies, definitions, geographic boundaries, and reference periods — disagreement is normal and informative. Our methodology page documents exactly which series and reference period we use for each metric, so you can reproduce or audit the figures against the upstream agency directly.

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