SPIKE · OTHER LARCENYAUGUST 2026 BRIEFINGSAN FRANCISCO · 12.0K residents

Lakeshore Crime Rate Trends — San Francisco

Lakeshore is a quiet southwestern neighborhood organized around freshwater Lake Merced, the Stonestown Galleria shopping center, and the SF State campus on its eastern edge. It has a more suburban character than most of the city, with single-family homes, golf courses, and easy access to the Pacific coastline.

OTHER LARCENY · 24-MO COUNT08 2026 · 61
0357012-mo avg: 44.7
LAKESHORECITYWIDE TREND (RESCALED)-5% 12MO YOY
+74%MoM
+35%12mo YoY
536last 12mo
61this month
01 · TL;DR

Three signals defined Lakeshore's August 2026 briefing: one single-month spike and two sustained structural shifts. The overall shape is mixed rather than uniformly moving in one direction, with other larceny rising sharply on both a short- and long-term basis while theft from vehicle has shifted structurally downward over the past year.

Other larceny is the clearest mover. The trailing 12-month total reached 536 incidents against 398 in the prior year, a 34.7% rise, and the category is also showing a sustained multi-year shift upward. Theft from vehicle runs in the opposite direction: 80 incidents in the current 12 months vs. 130 in the prior period, down 38.5%, a sustained structural decline rather than a single quiet stretch. Robbery's 12-month total climbed from 15 to 27, up 80.0%, though no anomaly signal attached to it this period. Everything else, aggravated assault, burglary, motor vehicle theft, and vandalism, moved within a narrower range.

1 spike2 sustained shifts
02 · Notable signals

Notable signals 1

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 536 incidents — about 68% above the 318 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.

Homicidebelow threshold
2024-092026-08
Robbery+80%
2024-092026-08
Aggravated Assault-7%
2024-092026-08
Sexual Assaultbelow threshold
2024-092026-08
Burglary-9%
2024-092026-08
Theft from Vehicle-39%
2024-092026-08
Other Larceny+35%
2024-092026-08
Motor Vehicle Theft-28%
2024-092026-08
Vandalism+11%
2024-092026-08
Arsonbelow threshold
2024-092026-08
05 · Forecast

What next month likely looks like

Forecasts trained through August 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

SEPTEMBER 2026
Most likely 4 next month — likely between 0 and 8.
12% vs 12-month average (≈4.3)

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

SEPTEMBER 2026
Most likely 10 next month — likely between 2 and 18.
+89% vs 12-month average (≈5.5)

Other Larceny

SEPTEMBER 2026
Most likely 36 next month — likely between 15 and 58.
18% vs 12-month average (≈44.7)

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

SEPTEMBER 2026
Most likely 12 next month — likely between 0 and 39.
+79% vs 12-month average (≈6.7)

Vandalism

SEPTEMBER 2026
Most likely 8 next month — likely between 2 and 15.
+9% vs 12-month average (≈7.8)
06 · Context & comps

How Lakeshore compares

Peer neighborhoods picked by closest 12-month other larceny 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 other larceny levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Lakeshoredoesn'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.

Lakeshore historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny1— too few

Each row shows Lakeshore's historical spike events for that category, and how often any of its 3 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 San Francisco); 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 Lakeshore, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

shopliftingwarrantlostbuildingpettyrecoveredfraudulentfoundphonesuspiciousinvestigationlicenselockedunlawfulplateaggravatedcardpossessionconvictionfalseoccurrencepriorcreditorderaccess
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
037675212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
07071,415MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0439878JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from SFPD's open dataset on DataSF, 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.