DROP · ROBBERYMAY 2026 BRIEFINGOAKLAND · 14.4K residents

Temescal Crime Rate Trends — Oakland

Temescal is a North Oakland commercial-and-residential neighborhood organized around the Telegraph Avenue and 51st Street commercial corridor, just south of Berkeley. Anchored by Temescal Alley, weekend street markets, and a cluster of food destinations.

ROBBERY · 24-MO COUNT05 2026 · 2
05912-mo avg: 1.8
TEMESCALCITYWIDE TREND (RESCALED)-38% 12MO YOY
+100%MoM
-48%12mo YoY
21last 12mo
2this month
01 · TL;DR

Eight categories moved in Temescal this May — four ran below trend in the current month, four registered as sustained structural shifts over the trailing 12 months. The pattern is broadly and consistently downward across violent and property crime, with no spikes and no rare-event signals in the mix.

Robbery leads the top signals: 21 incidents over the current 12 months against a baseline of 52.24, and down 47.5% from the prior year's 40. Burglary shows the same direction — 58 incidents versus 112 the year before, a 48.2% drop — and other larceny is down 31.8% (214 current vs. 314 prior). Theft from vehicle is the one category running the other way, up 31.5% to 980 incidents against 745 in the prior 12 months; everything else tracked at or below prior-year levels.

4 drops4 sustained shifts
02 · Notable signals

Notable signals 4

DROP · ROBBERY

Robbery

The past 12 months saw 21 incidents — about 60% below the 52 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 58 incidents — about 54% below the 125 average from prior years.

DROP · OTHER LARCENY

Other Larceny

The past 12 months saw 214 incidents — about 39% below the 350 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 119 incidents — about 53% below the 255 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-46%
2024-062026-05
Robbery-48%
2024-062026-05
Aggravated Assault-4%
2024-062026-05
Sexual Assaultbelow threshold
2024-062026-05
Burglary-48%
2024-062026-05
Theft from Vehicle+32%
2024-062026-05
Other Larceny-32%
2024-062026-05
Motor Vehicle Theft-38%
2024-062026-05
Vandalism-8%
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 10 next month — likely between 2 and 17.
+100% vs 12-month average (≈4.8)

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 14 next month — likely between 0 and 27.
+38% vs 12-month average (≈9.9)

Other Larceny

JUNE 2026
Most likely 29 next month — likely between 14 and 46.
+64% vs 12-month average (≈17.8)

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 85 next month — likely between 31 and 138.
+4% vs 12-month average (≈81.7)

Vandalism

JUNE 2026
Most likely 12 next month — likely between 0 and 37.
18% vs 12-month average (≈14.9)
06 · Context & comps

How Temescal compares

Peer neighborhoods picked by closest 12-month robbery 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 robbery levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

grandforcespousemailfirearmforcibleannoyingdisturbpeaceweaponcallsinflictcreditdeathunexplainedcourtdateobtainpersonalaccessanothercardidentificationinjuryterrorize
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
06131,22712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
09211,843MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05291,057JanFebMarAprMayJunJulAugSepOctNovDec
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.