Statistical area profile

Oakley

Explore aggregate and discrete offense types, annual population denominators, neighborhood ACS estimates, and modeled presidential and midterm voting with visible uncertainty.

Period

Window: 2026-01-012026-08-22 · Source: preliminary CPD neighborhood aggregate

Violent YTD

5

5 prior

Per 1,000

0.4

11,761 population (2020)

YTD change

0.0%

+0 offenses

Latest 28 days

1

1 previous

Current aggregate offense composition
CategorySelected periodPrevious periodAbsolute change
Homicide20+2
Rape10+1
Robbery12-1
Aggravated assault01-1
Strangulation12-1
Burglary / breaking and entering2121+0
Theft from auto3939+0
Motor vehicle theft1931-12
Personal / other theft355258+97

Oakley population

11,761

Decennial Census anchor · source vintage 2020 · no sampling MOE

Teal: Census anchorGray: interpolatedOrange: post-2020 carry-forward

Annual denominator method: This line is not an annual ACS series. Values for 2011–2019 are linearly interpolated between official Decennial Census anchors; 2021 onward transparently carries the 2020 anchor until a defensible newer SNA estimate is available.

2016–2020 ACS 5-year profile

Estimates with 90% margins of error

ACS population estimate

11,515

±836 MOE

Households

6,561

±547 MOE

Bachelor's degree or higher

70.5%

±5.4 pts · 6,520 count

Families below poverty

1.5%

±1.4 pts · 32 count

Households with no vehicle

6.3%

±1.8 pts · 414 count

Owner occupied

42.3%

±0.9 pts · 2,775 count

Renter occupied

57.7%

±6.6 pts · 3,786 count

Internet subscription

91.9%

±3.8 pts · 6,027 count

Counts retain the published 90% MOE. Percentage MOEs use the Census proportion approximation; combined-map-region and composite-education MOEs use root-sum-of-squares. Large MOEs mean comparisons should be treated cautiously.

Estimated election results

Election voting

Turnout

72.2%

6,994 modeled ballots

Democratic

68.7%

Harris and Walz

Republican

30.1%

Trump and Vance

Other / independent

1.1%

Minor-party, nonparty, write-in

D 68.7%Other 1.1%R 30.1%

Modeled from official precinct canvass totals using the current CAGIS precinct reference: 99% directly assigned; 1 split precincts area-weighted. Open the full elections explorer.