Theft rate
Thefts in the year, per 100,000 residents, from the FBI. This covers shoplifting, pickpocketing and stealing from cars or bikes, but not the theft of a vehicle itself. It counts only crimes reported to police or found by them, so crimes nobody reports are missing. For a state, the figure is the FBI's estimate, which fills in for police agencies that did not report. For a county, it is only what the agencies reported, and it is shown only where agencies that reported for all 12 months serve at least 90% of the people who live there.
Reported for2,290areas, in 51 states — none in PR
Link to density0.53not mostly about how urban a place is
Nearby places alike0.21Moran’s I: only weakly, little map pattern
Typerateper 100,000
How it has moved
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Every state, every year
One row per state and one column per year, sorted by the latest value. It shows states, not counties: nobody can scan 3,222 rows, and the pattern only shows when it all fits on one screen.
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Where it comes from
FBI Uniform Crime Reporting program (Crime Data Explorer) · FBI Crime Data Explorer: states, estimated_crimes larceny; counties, Return A master file, actual offenses
Thefts other than of vehicles (larceny-theft) reported to police, per 100,000 residents, in the year. Counties are shown only where agencies that reported all year serve at least 90% of residents; states use the FBI's estimates.
Combining areas: an average weighted by UCR.POPULATION.
What it goes with
The strongest links that have a page of their own. Unadjusted is the link before adjusting for anything, from −1 (opposite) to +1 (in step). Adjusted compares places with the same population density, income and education levels, so those differences can’t explain the link. This list leaves out the 7 pairs built from the same numbers or the same model as this measure, since they are bound to match.
| Measure | Unadjusted | Adjusted |
|---|---|---|
| Theft rate and Homeownership rateWhere Theft rate is higher, Homeownership rate tends to be lower: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Homeownership rate by US county | -0.58 | -0.42 |
| Theft rate and Homicide rate, annualWhere Theft rate is higher, Homicide rate, annual tends to be higher: a weak link that holds when only places with similar density, income and education are compared. Homicide rate, annual by US county | +0.39 | +0.34 |
| Theft rate and Homicide rateWhere Theft rate is higher, Homicide rate tends to be higher: a weak link that holds when only places with similar density, income and education are compared. Homicide rate by US county | +0.36 | +0.31 |
| Theft rate and Share White, not HispanicWhere Theft rate is higher, Share White, not Hispanic tends to be lower: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share White, not Hispanic by US county | -0.36 | -0.31 |
| Theft rate and Average test scoreWhere Theft rate is higher, Average test score tends to be lower: a weak link that holds when only places with similar density, income and education are compared. Average test score by US county | -0.15 | -0.30 |
Population makeup
How this measure varies with the racial and ethnic makeup of counties. Every group is shown, whatever its rank. These are links across counties: they describe places, not people. They say nothing about any person’s risk or behaviour based on their race. Counties with a larger share of one group also differ in much else, such as income, segregation, region and history. The adjusted figure only accounts for density, income and education.
| Share of residents | Unadjusted | Adjusted |
|---|---|---|
| Theft rate and Share White, not HispanicWhere Theft rate is higher, Share White, not Hispanic tends to be lower: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share White, not Hispanic by US county | -0.36 | -0.31 |
| Theft rate and Share Black, not HispanicWhere Theft rate is higher, Share Black, not Hispanic tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share Black, not Hispanic by US county | +0.31 | +0.20 |
| Theft rate and Share Hispanic or Latino, any raceWhere Theft rate is higher, Share Hispanic or Latino, any race tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share Hispanic or Latino, any race by US county | +0.08 | +0.15 |
| Theft rate and Share Asian, not HispanicWhere Theft rate is higher, Share Asian, not Hispanic tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share Asian, not Hispanic by US county | +0.28 | +0.18 |
| Theft rate and Share American Indian or Alaska Native, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share American Indian or Alaska Native, not Hispanic by US county | -0.10 | +0.04 |
Highest and lowest
Of 2,290 counties reporting it. These are the two ends of a national ranking. For most measures, that ranking mostly sorts places by income and how urban they are. That is why the place pages compare each place with similar places instead.
Highest
- Norton city, VA — 9,617
- San Francisco County, CA — 4,195
- Martin County, TX — 3,965
- Shelby County, TN — 3,811
- Gilpin County, CO — 3,709
Lowest
The middle area reports 734. The middle half of counties falls between 429 and 1,188 (the 25th to 75th percentile).
US Counties With the Highest Theft Rates · US Counties With the Lowest Theft Rates
All measures · Explore its pairs · How the US county data works