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CrimeAtlas Official city crime data explorer

Community area

Oakland Chicago crime rate and trends

In Oakland, Chicago reported 461 incidents in 2026 in the city's community area geography. Compared with 2025, the total was down 42.5%.

Latest year
2026

Most recent year available for this community area.

Total incidents
461

Latest yearly total for this community area page.

Community area
36

Official Chicago community area number.

Last updated
July 26, 2026

Latest completed import or aggregate refresh.

Context

Community area context

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

In Oakland, the most commonly reported categories in 2026 were motor vehicle theft, battery, and theft.

The page also keeps the same-year citywide total nearby so neighborhood totals can be read in proportion to the broader Chicago figure.

This route uses Chicago community areas, which are stable statistical boundaries and not always identical to colloquial neighborhood definitions.

Yearly trend

Latest complete annual totals for this community area.

2001 Range 9 to 982 2025
Start
2001
9
Peak
2023
982
Low
2001
9
Latest
2025
802

Recent monthly trend

Latest complete monthly totals for this community area.

Jan 2025 Range 46 to 97 Jun 2026
Start
Jan 2025
46
Peak
Jul 2025
97
Low
Jan 2025
46
Latest
Jun 2026
67

Crime types by volume

The latest yearly crime-type mix for this community area, sorted by reported incident count.

Yearly totals for this community area

Annual incident totals for this community area with the corresponding Chicago-wide total for context.

Year Area incidents Share of city Chicago total Route
2026 461 0.4% 122,681 View Chicago 2026 crime statistics
2025 802 0.3% 237,703 View Chicago 2025 crime statistics
2024 882 0.3% 259,232 View Chicago 2024 crime statistics
2023 982 0.4% 263,421 View Chicago 2023 crime statistics
2022 761 0.3% 240,135 View Chicago 2022 crime statistics
2021 592 0.3% 209,729 View Chicago 2021 crime statistics
2020 624 0.3% 212,778 View Chicago 2020 crime statistics
2019 641 0.2% 261,730 View Chicago 2019 crime statistics
2018 680 0.3% 269,177 View Chicago 2018 crime statistics
2017 695 0.3% 269,318 View Chicago 2017 crime statistics
2016 703 0.3% 269,992 View Chicago 2016 crime statistics
2015 635 0.2% 264,904 View Chicago 2015 crime statistics
2014 647 0.2% 275,883 View Chicago 2014 crime statistics
2013 711 0.2% 307,628 View Chicago 2013 crime statistics
2012 772 0.2% 336,387 View Chicago 2012 crime statistics
2011 796 0.2% 352,066 View Chicago 2011 crime statistics
2010 861 0.2% 370,573 View Chicago 2010 crime statistics
2009 857 0.2% 392,868 View Chicago 2009 crime statistics
2008 961 0.2% 427,224 View Chicago 2008 crime statistics
2007 944 0.2% 437,111 View Chicago 2007 crime statistics
2006 802 0.2% 448,204 View Chicago 2006 crime statistics
2005 880 0.2% 453,794 View Chicago 2005 crime statistics
2004 904 0.2% 469,445 View Chicago 2004 crime statistics
2003 894 0.2% 476,006 View Chicago 2003 crime statistics
2002 868 0.2% 486,838 View Chicago 2002 crime statistics
2001 9 0.0% 485,969 View Chicago 2001 crime statistics

Recent rows

Recent incidents in Oakland

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

Date Type Block Neighborhood Arrest
July 15, 2026 Motor vehicle theft 006XX E 38TH PL Oakland No
July 14, 2026 Theft 037XX S COTTAGE GROVE AVE Oakland No
July 13, 2026 Theft 006XX E 37TH ST Oakland No
July 13, 2026 Motor vehicle theft 037XX S COTTAGE GROVE AVE Oakland No
July 13, 2026 Other offense 006XX E 38TH PL Oakland No
July 13, 2026 Motor vehicle theft 039XX S LAKE PARK AVE Oakland No
July 12, 2026 Theft 040XX S LAKE PARK AVE Oakland No
July 12, 2026 Offense involving children 006XX E 38TH PL Oakland No
July 12, 2026 Other offense 037XX S VINCENNES AVE Oakland No
July 12, 2026 Battery 037XX S VINCENNES AVE Oakland No
July 12, 2026 Other offense 037XX S VINCENNES AVE Oakland No
July 12, 2026 Battery 039XX S LAKE PARK AVE Oakland No
July 12, 2026 Motor vehicle theft 040XX S DREXEL BLVD Oakland No
July 11, 2026 Criminal damage 011XX E 42ND PL Oakland No
July 11, 2026 Criminal damage 040XX S OAKENWALD AVE Oakland No
July 11, 2026 Battery 036XX S LAKE PARK AVE Oakland No
July 11, 2026 Motor vehicle theft 035XX S COTTAGE GROVE AVE Oakland No
July 9, 2026 Assault 036XX S LAKE PARK AVE Oakland No
July 9, 2026 Assault 036XX S LAKE PARK AVE Oakland No
July 9, 2026 Theft 041XX S DREXEL BLVD Oakland 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: June 2, 2026

socrata dataset

Chicago crime incidents

Publisher: Chicago Police Department

Dataset ID: ijzp-q8t2

Refresh cadence: Daily

Last imported: July 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.

What boundary does this page use?

This page uses Chicago community area boundaries because those are directly referenced in the city crime incidents dataset.

Is Oakland the same as every local neighborhood definition?

Not always. Community areas are stable statistical geographies and may differ from colloquial neighborhood labels.