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CrimeAtlas Official city crime data explorer

Crime type year

Chicago Motor Vehicle Theft statistics for 2026

Chicago reported 4,911 motor vehicle theft incidents in 2026. That was 7.9% of the citywide total for the same year.

Year
2026

Calendar-year view of the selected crime type.

Total incidents
4,911

Reported incidents for this crime type in the selected year.

Share of city
7.9%

Share of Chicago’s citywide total in the same year.

Last updated
April 26, 2026

Latest completed import or aggregate refresh.

Context

Year-specific category context

Additional reading notes to help interpret the statistics on this page.

For 2026, the community areas with the largest published counts for motor vehicle theft included West Town, Near West Side, and Austin.

Recent matching rows provide case-level context, but the primary reading surface for this page remains the yearly aggregate total.

Recent rows

Recent matching incidents

Recent incident rows are capped for page speed and included for context only.

Date Type Block Neighborhood Arrest
April 17, 2026 Motor vehicle theft 071XX S LANGLEY AVE Greater Grand Crossing No
April 17, 2026 Motor vehicle theft 026XX S DR MARTIN LUTHER KING JR DR Douglas No
April 16, 2026 Motor vehicle theft 029XX W 36TH ST Brighton Park No
April 16, 2026 Motor vehicle theft 048XX W HUTCHINSON ST Portage Park No
April 16, 2026 Motor vehicle theft 017XX N LOREL AVE Austin No
April 16, 2026 Motor vehicle theft 038XX W MADISON ST West Garfield Park No
April 16, 2026 Motor vehicle theft 041XX N MENARD AVE Portage Park No
April 16, 2026 Motor vehicle theft 061XX S ST LAWRENCE AVE Woodlawn No
April 16, 2026 Motor vehicle theft 041XX N MARMORA AVE Portage Park No
April 16, 2026 Motor vehicle theft 061XX S WOODLAWN AVE Woodlawn No
April 16, 2026 Motor vehicle theft 037XX W IRVING PARK RD Irving Park No
April 16, 2026 Motor vehicle theft 056XX S LAWNDALE AVE West Elsdon No
April 16, 2026 Motor vehicle theft 046XX S CALIFORNIA AVE Brighton Park No
April 16, 2026 Motor vehicle theft 043XX S ELLIS AVE Kenwood No
April 16, 2026 Motor vehicle theft 022XX S SACRAMENTO AVE South Lawndale No
April 16, 2026 Motor vehicle theft 052XX W CRYSTAL ST Austin No
April 16, 2026 Motor vehicle theft 049XX S KILDARE AVE Archer Heights No
April 16, 2026 Motor vehicle theft 034XX N ELAINE PL Lake View No
April 16, 2026 Motor vehicle theft 047XX N ARTESIAN AVE Lincoln Square No
April 16, 2026 Motor vehicle theft 009XX W RANDOLPH ST Near West Side No

Important context

Methodology and caveats

These pages summarize reported public records. Use source notes and methodology before drawing comparisons.

Reported crime data can lag the real world and may exclude the most recent days.

Case classifications can change after additional investigation or administrative review.

Map coordinates are approximate because the source data is redacted to the block level.

Counts on this site summarize reported incidents and should not be treated as a complete measure of safety.

Read the methodology page for pipeline details and the about page for source notes.

Sources

Official data sources

CrimeAtlas is built from public datasets published by city agencies. Each page links back to the underlying source and the latest import timestamp.

About the data
socrata dataset

Chicago community areas

Publisher: City of Chicago

Dataset ID: igwz-8jzy

Refresh cadence: Updated as needed

Last imported: April 13, 2026

socrata dataset

Chicago crime incidents

Publisher: Chicago Police Department

Dataset ID: ijzp-q8t2

Refresh cadence: Daily

Last imported: April 26, 2026

socrata file

Chicago neighborhood boundaries reference

Publisher: City of Chicago

Dataset ID: 9wp7-iasj

Refresh cadence: Legacy file dataset

Last imported: Not available

FAQ

Frequently asked questions

Short answers about data coverage, definitions, and how to read these pages.

Does the 2026 page include all incidents?

The annual total reflects all imported incidents for that year, while supporting tables and lists may show only the largest categories or a recent sample.

Why use yearly pages?

Year pages capture long-tail search intent and make it easier to compare one calendar year against the next.