Statistical area profile
California
Explore aggregate and discrete offense types, annual population denominators, neighborhood ACS estimates, and modeled presidential and midterm voting with visible uncertainty.
Window: 2026-01-01 → 2026-08-22 · Source: preliminary CPD neighborhood aggregate
Violent YTD
0
0 prior
Per 1,000
0.0
944 population (2020)
YTD change
0.0%
+0 offenses
Latest 28 days
0
0 previous
| Category | Selected period | Previous period | Absolute change |
|---|---|---|---|
| Burglary / breaking and entering | 1 | 2 | -1 |
| Theft from auto | 1 | 2 | -1 |
| Motor vehicle theft | 0 | 3 | -3 |
California population
944
Decennial Census anchor · source vintage 2020 · no sampling MOE
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
799
±144 MOE
Households
323
±56 MOE
Bachelor's degree or higher
48.6%
±8.0 pts · 288 count
Families below poverty
0.0%
±5.8 pts · 0 count
Households with no vehicle
6.2%
±8.3 pts · 20 count
Owner occupied
88.5%
±4.8 pts · 286 count
Renter occupied
11.5%
±9.1 pts · 37 count
Internet subscription
97.5%
±3.8 pts · 315 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
77.3%
275 modeled ballots
Democratic
37.4%
Harris and Walz
Republican
62.5%
Trump and Vance
Other / independent
0.1%
Minor-party, nonparty, write-in
Modeled from official precinct canvass totals using the current CAGIS precinct reference: 95% directly assigned; 1 split precincts area-weighted. Open the full elections explorer.