SUSTAINED DROP · BURGLARYJULY 2026 BRIEFINGLOS 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.

BURGLARY · 24-MO COUNT07 2026 · 8
061312-mo avg: 3.7
GREEN MEADOWSCITYWIDE TREND (RESCALED)-24% 12MO YOY
+300%MoM
-48%12mo YoY
44last 12mo
8this month
01 · TL;DR

Green Meadows produced one signal in July 2026: a sustained structural shift in burglary, down 47.6% against the prior 12-month period. The remaining nine tracked categories were within their normal ranges, making this a narrow but meaningful month.

Burglary dropped from 84 incidents in the prior 12 months to 44 in the current window, a change too consistent across months to read as noise. Robbery and motor vehicle theft both rose on a 12-month basis, 9.9% and 23.2% respectively, but neither crossed an anomaly threshold this month. Homicide also fell sharply over the same 12-month window, 6 incidents against 14 in the prior year, though no single-month signal triggered on that category either.

1 sustained shift
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
2024-082026-07
Robbery+10%
2024-082026-07
Aggravated Assault-5%
2024-082026-07
Sexual Assault-10%
2024-082026-07
Burglary-48%
2024-082026-07
Theft from Vehicle+32%
2024-082026-07
Other Larceny+23%
2024-082026-07
Motor Vehicle Theft+23%
2024-082026-07
Vandalism-13%
2024-082026-07
Arsonbelow threshold
2024-082026-07
05 · Forecast

What next month likely looks like

Forecasts trained through July 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

AUGUST 2026
Most likely 6 next month — likely between 0 and 12.
+62% vs 12-month average (≈3.7)

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

AUGUST 2026
Most likely 15 next month — likely between 0 and 36.
21% vs 12-month average (≈19.5)

Other Larceny

AUGUST 2026
Most likely 16 next month — likely between 4 and 28.
18% vs 12-month average (≈19.0)

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

AUGUST 2026
Most likely 6 next month — likely between 0 and 18.
47% vs 12-month average (≈12.0)

Vandalism

AUGUST 2026
Most likely 20 next month — likely between 9 and 31.
+5% vs 12-month average (≈19.3)
06 · Context & comps

How Green Meadows compares

Peer neighborhoods picked by closest 12-month burglary 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 burglary 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.

simplegrandfirearmpettyinjurymoreweaponintimatepartnerdeadlyaggravatedcourtshopliftingpossessthreatslesstfmvorderidentityresidentialofficeraccessoriespartswarrantcontempt
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
035571012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
08601,719MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05321,065JanFebMarAprMayJunJulAugSepOctNovDec
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.