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.
| Place | GEOID | Residents | Major-crime index |
|---|---|---|---|
| Davis, CA | 0618100 | 68,665 | 109.6 |
| Los Angeles, CA | 0644000 | 3,879,764 | 160.7 |
| New York, NY | 3651000 | 8,700,238 | 154 |
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.
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