SPIKE · HOMICIDEMAY 2026 BRIEFINGOAKLAND · 6.1K residents

Uptown Crime Rate Trends — Oakland

Uptown is a downtown-adjacent neighborhood centered on the 19th Street BART station and the Telegraph Avenue commercial corridor between 17th and 27th Streets. Anchored by the historic Fox and Paramount theaters and a concentration of art deco and mid-century commercial buildings.

HOMICIDE · 24-MO COUNT05 2026 · 1
03712-mo avg: 2.6
UPTOWNCITYWIDE TREND (RESCALED)-11% 12MO YOY
-75%MoM
+41%12mo YoY
31last 12mo
1this month
01 · TL;DR

Six categories moved in Uptown this May — three drops, one spike, and two sustained shifts. The dominant shape is broadly downward across property crime, with one sharp exception: homicide registered as the month's most prominent signal, the category running furthest above its multi-year baseline.

Robbery and burglary both ran below trend, continuing what the 12-month totals confirm: robbery is down 47.4% against the prior year (20 incidents vs. 38), and burglary is down 36.4% (35 vs. 55). Against that backdrop, homicide stands out — 31 incidents over the current 12 months against a baseline mean of 24.45, and up 40.9% year-over-year from 22. The two sustained shifts round out a month where structural improvement in property crime coexists with a violent-crime category moving in the opposite direction.

1 spike3 drops2 sustained shifts
02 · Notable signals

Notable signals 4

SPIKE · HOMICIDE

Homicide

The past 12 months saw 31 incidents — about 27% above the 24 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 20 incidents — about 61% below the 51 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 35 incidents — about 54% below the 76 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 97 incidents — about 72% below the 348 average from prior years.

03 · By category

All categories, last 24 months

Each panel: recent monthly count vs. trailing 12-month context. MoM is the most recent month vs. the one before; 12mo YoY compares the trailing year to the year before that.

Homicide+41%
2024-062026-05
Robbery-47%
2024-062026-05
Aggravated Assault+41%
2024-062026-05
Sexual Assault-29%
2024-062026-05
Burglary-36%
2024-062026-05
Theft from Vehicle-20%
2024-062026-05
Other Larceny-27%
2024-062026-05
Motor Vehicle Theft-18%
2024-062026-05
Vandalism-32%
2024-062026-05
Arsonbelow threshold
2024-062026-05
05 · Forecast

What next month likely looks like

Forecasts trained through May 2026, with a likely range we're 95% confident the actual count will fall inside. Categories with too little recent volume — or violent categories at the neighborhood level — show no forecast and are surfaced through signals above instead. See the methodology page for the gating rules.

Aggravated Assault

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Arson

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

Burglary

JUNE 2026
Most likely 2 next month — likely between 0 and 7.
15% vs 12-month average (≈2.9)

Homicide

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Motor Vehicle Theft

JUNE 2026
Most likely 15 next month — likely between 4 and 24.
+37% vs 12-month average (≈10.8)

Other Larceny

JUNE 2026
Most likely 15 next month — likely between 2 and 30.
+17% vs 12-month average (≈13.0)

Robbery

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Sexual Assault

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Theft from Vehicle

JUNE 2026
Most likely 17 next month — likely between 0 and 49.
11% vs 12-month average (≈19.5)

Vandalism

JUNE 2026
Most likely 9 next month — likely between 0 and 30.
+17% vs 12-month average (≈8.1)
06 · Context & comps

How Uptown compares

Peer neighborhoods picked by closest 12-month homicide volume — a pragmatic v1 of peer matching. Demographic / housing-stock peer matching isn't built yet (we deliberately don't ingest income or race data alongside crime). Volume similarity has the right intuition: “neighborhoods experiencing comparable homicide levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Uptowndoesn't have enough spike history in any single category for a stable spillover rate yet (we want at least 5 events). The table below lists what we have.

Uptown historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Homicide2— too few

Each row shows Uptown's historical spike events for that category, and how often any of its 6 adjacent neighborhoods spiked the same category within the next 3 months. A high same-category rate suggests a shock that travels (e.g. theft crews moving across Oakland); a low rate means spikes here tend to be local to the neighborhood. Categories with fewer than 5 historical spike events are listed but their rates are suppressed.

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Uptown, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

spousegrandforceterrorizefirearmdeathunexplainedweaponinflictpeaceinjurydangerousdisturbcohabitantcorporalcourtdateintentthreatedthreatsorderthreatcreditmailpersonal
When does it happen?

Hour-of-day, day-of-week, and seasonality

Distribution of bucketed incidents in this neighborhood across the full analysis window. Useful for routine context — shopping-strip thefts vs. late-night assaults read very differently when you can see when each typically happens.

HOUR OF DAY · ALL CATEGORIES
032364612am6am12pm6pm11pm

Hour 0 is mildly inflated by reports without a known time defaulting to midnight — see methodology.

DAY OF WEEK · ALL CATEGORIES
06501,300MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0391782JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from OPD's CrimeWatch feed on Oakland Open Data, mapped to 10 NIBRS-aligned categories, and aggregated to neighborhood × category × month.Anomalies are surfaced using strict thresholds (~p < 0.01). Forecasts are Prophet with low-count gating; violent categories at the neighborhood level skip the forecast and show rare-event / streak signals instead.

Spike rule: 12-mo total > baseline mean + 2.5σ AND ≥ 20 incidents AND 6-mo confirms. Drop rule: 12-mo total < baseline mean − 2.5σ AND baseline mean ≥ 20. Rare event: any incident in the last 90 days, no prior comparable in ≥ 5 years.