LOS ANGELES · 40.3K residents

Green Meadows Crime Rate Trends — Los Angeles

Green Meadows is a South LA residential neighborhood around 92nd Street and Avalon Boulevard, between Florence and Watts. Predominantly single-family bungalows on a tight grid, anchored by Green Meadows Recreation Center and the 92nd Street Elementary corridor.

OTHER LARCENY · 24-MO COUNT08 2026 · 21
0163212-mo avg: 19.8
GREEN MEADOWSCITYWIDE TREND (RESCALED)+24% 12MO YOY
-13%MoM
+24%12mo YoY
237last 12mo
21this month
01 · TL;DR

August 2026 was a quiet month for Green Meadows. No tracked category crossed the anomaly threshold, and the overall signal count was zero, meaning no single-month spikes, drops, rare events, or streak breaks registered against the multi-year baseline.

The 12-month picture is mixed but not alarming. Robbery is up 20.4% against the prior year, 218 incidents vs 181, and other larceny and theft from vehicle follow a similar direction, up 24.1% and 23.9% respectively. On the other side, homicide fell from 16 to 5 over the same window, a 68.8% reduction, and burglary is down 19.2%. Everything else, aggravated assault, sexual assault, vandalism, arson, moved within a few percentage points of flat. The month itself added no fresh signal to those longer trends.

No signals this month
02 · Notable signals

Notable signals 0

Nothing notable surfaced this month — every category sits within normal range against its baseline.

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+20%
2024-092026-08
Aggravated Assault-1%
2024-092026-08
Sexual Assault-3%
2024-092026-08
Burglary-19%
2024-092026-08
Theft from Vehicle+24%
2024-092026-08
Other Larceny+24%
2024-092026-08
Motor Vehicle Theft+11%
2024-092026-08
Vandalism-8%
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 6 next month — likely between 0 and 12.
+12% vs 12-month average (≈5.3)

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 12 next month — likely between 0 and 32.
−40% vs 12-month average (≈19.8)

Other Larceny

SEPTEMBER 2026
Most likely 16 next month — likely between 6 and 29.
−18% vs 12-month average (≈19.8)

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

SEPTEMBER 2026
Most likely 7 next month — likely between 0 and 18.
−46% vs 12-month average (≈12.1)

Vandalism

SEPTEMBER 2026
Most likely 18 next month — likely between 7 and 28.
−10% vs 12-month average (≈20.3)
06 · Context & comps

How Green Meadows 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.”

07 · Patterns

Recurring local terms (last 12 months)

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

simplegrandfirearmpettymoreinjuryweaponintimatepartnerdeadlycourtaggravatedshopliftingthreatspossesslesstfmvorderresidentialofficeridentityaccessoriespartscontemptwarrant
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
035971712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
08721,745MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05471,093JanFebMarAprMayJunJulAugSepOctNovDec
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.