SPIKE · OTHER LARCENYAUGUST 2026 BRIEFINGLOS ANGELES · 21.1K residents

Chinatown Crime Rate Trends — Los Angeles

Chinatown is a Central LA neighborhood north of Downtown, organized around the Broadway and Hill Street commercial corridors. Anchored by the Central Plaza, the historic Mandarin Plaza, the Metro L Line's Chinatown station, and the Los Angeles State Historic Park to the east.

OTHER LARCENY · 24-MO COUNT08 2026 · 36
0244712-mo avg: 26.3
CHINATOWNCITYWIDE TREND (RESCALED)+24% 12MO YOY
+57%MoM
+34%12mo YoY
316last 12mo
36this month
01 · TL;DR

Four categories moved in Chinatown this August briefing, and three of them were spikes. Other larceny, vandalism, and motor vehicle theft all registered above-trend signals in the current 12-month window, with a sustained structural shift rounding out the picture. The month's shape is an upward one across property crime, concentrated in theft and damage categories.

Other larceny is the strongest signal: 316 incidents over the trailing 12 months against 236 in the prior year, a 33.9% increase. Motor vehicle theft shows a similar structural move, 140 current versus 108 prior, up 29.6%. Vandalism is up 11.4%, at 224 incidents against 201. By contrast, the violent categories held mostly in check: robbery down 9.7%, aggravated assault down 4.9%, and sexual assault down 15.8%, with arson down 40.0% over the same window. The property side of the ledger carried the month.

3 spikes1 sustained shift
02 · Notable signals

Notable signals 3

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 316 incidents — about 148% above the 127 average from prior years.

SPIKE · VANDALISM

Vandalism

The past 12 months saw 224 incidents — about 113% above the 105 average from prior years.

SPIKE · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 140 incidents — about 88% above the 75 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-10%
2024-092026-08
Aggravated Assault-5%
2024-092026-08
Sexual Assault-16%
2024-092026-08
Burglary-11%
2024-092026-08
Theft from Vehicle0%
2024-092026-08
Other Larceny+34%
2024-092026-08
Motor Vehicle Theft+30%
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 9 next month — likely between 4 and 13.
+44% vs 12-month average (≈6.0)

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 9 next month — likely between 1 and 16.
−26% vs 12-month average (≈11.7)

Other Larceny

SEPTEMBER 2026
Most likely 22 next month — likely between 10 and 32.
−17% vs 12-month average (≈26.3)

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 15 next month — likely between 3 and 28.
−13% vs 12-month average (≈16.8)

Vandalism

SEPTEMBER 2026
Most likely 22 next month — likely between 14 and 30.
+18% vs 12-month average (≈18.7)
06 · Context & comps

How Chinatown 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?

Chinatowndoesn'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.

Chinatown historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Motor vehicle theft2— too few
Other larceny2— too few
Vandalism2— too few

Each row shows Chinatown's historical spike events for that category, and how often any of its 5 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 Los Angeles); 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 Chinatown, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

trespasstransitrailgrandsimplewarrantappearbenchchargefailurepossessmorepettybfmvunlawfulparaphernaliafirearmsubstancecontrolledweapondeadlyresidentialinjuryleaveaggravated
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
018837512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
05201,041MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0276552JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

DATA NOTE · LA FEED CHANGE

Counts from March 2024 onwardrun roughly 10 to 20 percent below LAPD's command-staff totals citywide. LAPD's legacy crime feed froze after a late-2024 cyber incident, and the replacement NIBRS feed has been shipping fewer rows than LAPD's own statistics show. The shortfall is most visible in homicide and in dense south-LA neighborhoods, because the new feed lacks coordinates and resolves location through reporting districts. Trend direction is still meaningful; absolute levels are not directly comparable to LAPD's headline figures.

Read the full LA caveat in methodology →

Data → Anomalies → Forecast → Page

Incident data is pulled from LAPD's open feed on the LA City Open Data portal — the NIBRS-coded feed from 2024-03 onward with UCR backfill to 2020. 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.