How We Rank the Safest Places

Houzeo's Safest Places Rankings are built on one idea. Homebuyers and investors deserve a safety number they can trust. And that is why we rank cities using live FBI crime data instead of guesswork.

Each city gets a score built from three categories: Personal Safety, Property Security, and Community Order. This page explains how the scoring and methodology work, where the data comes from, and why we built the system this way.

Why Our Safest Places Rankings Are the Best in the Industry

Choosing a safe place to live is one of the top concerns for almost every homebuyer. Yet much of the online "safest places" content is guesswork. Some of it relies on a single year of raw crime counts. Some of it treats a city with no reported data as a city with no crime. Neither is good enough.

In Houzeo's Safest Places methodology, each city gets a score built from three categories. The scoring is based on clear rules. Anyone can see why a city ranks where it does. There is no hidden formula.

A data-driven method removes much of that guesswork. It combines FBI-reported crime data across 18 offense categories into one score that is easy to compare.

Houzeo's Safest Places rankings help three kinds of people:

• Homebuyers compare the safety of cities, including across state lines.
• Sellers who want to know how their local crime trends are moving.
• Investors who treat safety as a long-term driver of demand and property value.

Methodology Overview

Houzeo ranks each city by comparing it to the national average. We do not benchmark safety against a single state, because crime reporting practices and baselines vary too much within a state to be useful here. Comparing every city to one national mix of offenses is called national normalization. It solves a common problem in safety rankings. A city can look dangerous next to a low-crime neighbor, or safe next to a high-crime one, depending on what it is compared to. Comparing every city to the same national baseline removes that distortion.

Every metric we use is standardized. This means raw incident counts are converted into per-capita rates, then converted again into a common 0–100 scale. This lets us combine very different offenses, from homicide to vandalism, into one fair score. No single offense can dominate a city's score just because it is more frequently reported.

We keep the system fair across markets in three ways:

• National benchmarking: Every city is compared to the same national average, not to a shifting local baseline.
• Weighted categories: Categories are weighted based on real-world impact on safety and on how buyers actually perceive risk.
• Consistent data sources: Every city uses the same federal source and the same offense definitions. No city gets special treatment.

Score Breakdown: The Three Categories

Each city gets a final score built from three weighted categories. Together, they add up to 100% of the score.

Personal Safety (50%)

What does it mean? This score shows how a city's rate of violent and personal-harm offenses compares to the national average. It covers homicide, rape, robbery, aggravated assault, kidnapping, and human trafficking.

Why does it matter? Personal safety is the single biggest driver of how safe a place feels and how safe it actually is. A city can have affordable housing and a strong job market. But if violent crime runs well above the national rate, it becomes a hard place to recommend to families and first-time buyers.

Metrics used:

• Homicide rate compared to the national average.
• Rape, robbery, and aggravated assault rates compared to the national average.
• Kidnapping and human trafficking rates compared to the national average.

Impact on final score: This is the largest category at 50%. It has the strongest control over a city's overall safety rank. Cities reporting violent-crime rates well below the national average tend to score highest here.

Real-world relevance: A buyer comparing two cities can use this score to see which one carries less personal risk, on a scale that holds steady no matter what state either city is in.

Property Security (30%)

What does it mean? This score is based on reported property-crime rates compared to the national average. It covers burglary, larceny, motor vehicle theft, arson, theft from buildings, and theft from vehicles.

Why does it matter? Property crime affects insurance costs, peace of mind, and day-to-day quality of life, even when it does not carry the same physical risk as violent crime. It also tends to track closely with neighborhood-level disorder.

Metrics used:

• Burglary and larceny rates compared to the national average.
• Motor vehicle theft and arson rates compared to the national average.
• Theft from buildings and theft from vehicles, compared to the national average.

Impact on final score: Property Security accounts for 30% of the total score. Cities with property-crime rates well below the national average score higher in this category.

Real-world relevance: This score helps buyers gauge the risk to their home, vehicle, and belongings, independent of the city's violent-crime picture.

Community Order (20%)

What does it mean? This score looks at lower-level offenses that shape day-to-day neighborhood conditions: simple assault, sex offenses, stolen property, vandalism, weapon violations, and drug violations, compared to the national average.

Why does it matter? These offenses rarely make headlines on their own, but a high rate of them often signals broader neighborhood instability. They matter most as a tiebreaker between cities that already look similar on violent and property crime.

Metrics used: Simple assault, sex offenses, stolen property, vandalism, weapon violations, and drug violations, each compared to the national average.

Impact on final score: At 20%, this category often acts as a tiebreaker. It separates cities that are close in Personal Safety and Property Security.

Real-world relevance: This score helps buyers compare the everyday feel of two similarly ranked cities, beyond just the headline crime numbers.

How Houzeo Safety Scores Are Calculated

Every city's score is built using the same steps:

1. Collect verified data. We pull crime data from the FBI Crime Data Explorer's NIBRS feed, covering 18 offense categories reported by local law-enforcement agencies.
2. Distinguish real zeros from missing data. An agency that submitted data and reported zero incidents is treated as a real zero. An agency that did not submit data that year is treated as absent, never as a zero. This is the most important rule in the entire system.
3. Score each offense. Each offense gets a 0–100 value against the national rate: offense_score = max(0, 100 − 50 × (city rate per 100k ÷ national rate per 100k)). A city at the national rate scores 50. A city with zero reported incidents scores 100. A city at twice the national rate scores 0.
4. Average within each category. Each category sub-score is the average of the offense scores actually reported in it. A missing offense is left out, not assumed to be zero or 100.
5. Apply category weights. Personal Safety gets 50%. Property Security gets 30%. Community Order gets 20%. If a category is blank for a city, its weight is redistributed across the categories that were reported.
6. Adjust for population. Small towns get relief from the volatility of a few incidents. Large cities receive the full weight of their crime rate, since their numbers are statistically more stable.
7. Generate a final score. We combine the population-adjusted, weighted category scores into one 0–100 Safety Score, which sets the city's rank.
8. Update rankings often. We recalculate scores as new NIBRS data is released.

A Real Zero Is Not the Same as No Data

This distinction underlies the entire score, so it gets its own explanation.

A "no data" result is never treated as a zero. This is what stops a city served by a non-reporting agency from looking artificially safe. We also have to match the right agency to the right city, since the unit of FBI reporting is a police agency, not a city boundary. We handle this in four ways:

• We flag sheriff-only small towns and show the county figure instead of a city score.
• We sum across multiple agencies in large, multi-agency cities.
• We exclude regional agencies whose jurisdiction spans many cities.
• We merge duplicate place names into one canonical city.

A city with no reliable agency match is not published.

Data Refresh Frequency

NIBRS-based crime data updates when the FBI releases each new annual reporting year. Agency-to-city mappings are refreshed on a quarterly cadence, so a newly formed police agency can take up to one cycle to appear in a city's score.

Quality Checks and Consistency

Before any number is used in scoring, it goes through a check. This step flags absent data, outliers, and mismatches between sources. If a city lacks sufficient reliable data for a given period, we suppress the score. We do not assign it a made-up number. This keeps the whole ranking system accurate.

Every city lands in one of three coverage states:

• Complete coverage means the mapped agencies reported across all three categories, and the score shows normally.
• Partial coverage means at least one full category is missing, so we calculate the score from what was reported and flag it with a banner.
• No data available means no mapped agency reported any offense, so we suppress the score entirely rather than show a misleading number.

Data Sources

Houzeo's Safest Places rankings rely on one audited federal source, by design. Using a single source keeps every city on the same footing and avoids stitching together data sets that count offenses differently.

We chose this source because it is the trusted authority in its field. Researchers, journalists, and policymakers all rely on the FBI's Uniform Crime Reporting program and its NIBRS data set for incident-based crime statistics.

Data Transparency and Trust

A few core principles keep our ranking system fair and easy to understand:

• Transparency. Every category, weight, and data source is published right here on this page. There is no hidden formula.
• A real zero is not the same as no data. This rule protects against the most common way safety scores mislead people.
• Consistency. We use the same source, the same offenses, and the same weights for every city in every state. There are no manual changes to individual scores.

Limitations of the Rankings

No ranking system can capture everything that matters to one buyer or investor. Our scores reflect reported crime only; crime that is never reported to police is not in this data and is not modeled. NIBRS adoption is also uneven across the country. A handful of states, including Florida and California, have lagged in adoption, so a "no data" city may simply have a police department that has not migrated to the FBI's current reporting system yet. The score also uses annual totals, so seasonal and month-to-month patterns are not captured. Treat our rankings as one helpful input. Combine them with your own priorities, in-person visits, and professional advice. They should not be your only basis for a buying or investment decision.

Frequently Asked Questions

Conclusion

Houzeo's Safest Places Methodology gives homebuyers, sellers, and investors a clear, data-driven way to compare city safety. We use one trusted federal source. We score 18 offenses against the national average. We separate a real zero from missing data. And we apply a published set of category weights. The result is a score you can understand and check for yourself, not just take on faith.

Ready to put this methodology to use? Browse Houzeo's city pages to see Safety Scores in context. Check our Best Places Rankings to compare affordability, jobs, and lifestyle alongside safety. Or dive into local housing insights to support your next move or investment.