CrimeMetric

Data downloads

U.S. city crime data, ready to query

Updated ·Vorp Labs

A free sample with one row for each of 7,895 cities, towns and other Census places. Compare modeled crime per resident, join by geographic ID, and keep the release and confidence information with your results.

Places
7,895
Coverage
50 states + DC
Model updated
Nov 1, 2026

Fixed snapshot · Release 2026-2026-11-01 · Sample license

What is in the sample?

Four modeled indexes: major crime, persons crimes, property crimes and social disorder. An index of 100 is the U.S. rate per resident; 200 is twice it. These estimates are not a count of police reports or a safety rating.

Selected rows, with indexes shown as stored
PlaceGEOIDResidentsMajor-crime index
Davis, CA061810068,665109.6
Los Angeles, CA06440003,879,764160.7
New York, NY36510008,700,238154

The files also carry each place's high, medium and low confidence shares. A share of 0.395 means 39.5% of residents live in block groups with that confidence level; it is not a probability that the city estimate is correct.

Columns and types

Use place_geoid as the join key, stored as text. A city name can occur more than once. Parquet preserves types automatically; when importing CSV, keep the leading zeros in IDs such as Davis's 0618100.

place_geoidstring
Seven-character Census place GEOID; retain leading zeros.
place_namestring
Place name; names are not unique geographic keys.
statestring
Two-letter state abbreviation, including DC.
place_typestring
Census place type; blank where the source omits it.
residentsinteger
Resident population used by the model; not people present.
major_crime_indexnumber
Modeled persons plus property crimes per resident, U.S. = 100.
persons_crime_indexnumber
Modeled murder, rape, robbery and aggravated assault per resident, U.S. = 100.
property_crime_indexnumber
Modeled property crimes per resident, U.S. = 100.
disorder_indexnumber
Modeled social disorder per resident, U.S. = 100; separate from major crime.
confidence_high_sharenumber
Share of residents in high-confidence block groups, 0 to 1.
confidence_medium_sharenumber
Share of residents in medium-confidence block groups, 0 to 1.
confidence_low_sharenumber
Share of residents in low-confidence block groups, 0 to 1.
model_releasestring
Source model release identifier; not a police-record coverage date.
source_urlstring
Canonical CrimeMetric place page.

Download the machine-readable schema. Empty numeric fields indicate an unavailable estimate.

Coverage, method and limitations

This sample contains the places that pass CrimeMetric's publication quality gate in this release. It includes cities, towns, villages and census-designated places, but does not cover every U.S. place. It contains no ZIP-code crosswalk, street addresses, individual incidents or neighborhood boundaries.

The model combines FBI agency totals and local incident records at census block-group level, then aggregates the estimates to places. Per-resident indexes can be high in places with many visitors and few residents. Compare places of similar size and read the confidence shares alongside the index.

The model release date is distinct from the police-record dates shown on individual city pages. This download stays fixed when the website receives newer incident records.

Method and validation·Data sources·Reading the index

Use and attribution

The sample license permits your own research and commercial analysis, with attributed charts, findings and selected figures. Standalone resale or redistribution of the dataset requires a separate agreement. Keep the release and confidence information available, and do not use the data for decisions about individual people.

CrimeMetric modeled estimates, release 2026-2026-11-01. Vorp Labs. https://crimemetric.com/data

For address-level queries, block-group detail and current API responses, see the CrimeMetric API. Its terms are separate from this sample license.

Verify your download

SHA-256 checksums for this immutable release:

cities.csvefd88a41d3d346aa163fbaf6136574a30a340f32c14c479e27677ea4a124b0d8

cities.parquetb2cf9cd9f626407ca5e094a5fef11945d8d96c6e8bb8e5157a1a50fad03750d6

schema.json249f51e27d195c15fabbe541eb491728ac21d1234991e03915e736b9f20f496c

LICENSE.txt2168d19505084f9f5781f2b8a800806f6252470d3cf949528f4808e579059388