DROP · THEFT FROM VEHICLEMARCH 2026 BRIEFINGLOS ANGELES · 49.3K residents

Mid-City Crime Rate Trends — Los Angeles

Mid-City is a Central LA neighborhood between Pico and Venice Boulevards, organized around the La Brea, Fairfax, and Crenshaw commercial corridors. Predominantly Spanish Colonial Revival single-family homes and four-plexes; anchored by the Mid-City Heritage square and the Metro E Line's Expo/La Brea station.

THEFT FROM VEHICLE · 24-MO COUNT03 2026 · 13
0234612-mo avg: 14.2
MID-CITYCITYWIDE TREND (RESCALED)-30% 12MO YOY
-44%MoM
-48%12mo YoY
170last 12mo
13this month
01 · TL;DR

Nine categories moved in Mid-City this March — five ran below trend in the current month, and four show sustained structural shifts between the trailing 12 months and the prior year. The overall shape is a broad, multi-category decline across both property crime and violent crime, not a single outlier pulling the average down.

Theft from vehicle is the strongest single signal: 170 incidents in the trailing 12 months against a baseline of 376.42, a 12-month total that is also down 47.9% from the prior year's 326. Motor vehicle theft and vandalism also ran below trend this month, and both reflect the same structural pattern in the 12-month totals — motor vehicle theft is down 61.9% year-over-year (104 vs. 273), vandalism down 47.5% (149 vs. 284). Aggravated assault and robbery follow the same direction, off 22.3% and 19.7% respectively against the prior 12 months. Categories not in the top signals — burglary, other larceny, sexual assault — moved in the same direction and are all within the same downward range.

5 drops4 sustained shifts
02 · Notable signals

Notable signals 5

DROP · THEFT FROM VEHICLEZ = 7.01

Theft from Vehicle

The past 12 months saw 170 incidents — about 55% below the 376 average from prior years.

DROP · MOTOR VEHICLE THEFTZ = 5.19

Motor Vehicle Theft

The past 12 months saw 104 incidents — about 68% below the 320 average from prior years.

DROP · VANDALISMZ = 4.05

Vandalism

The past 12 months saw 149 incidents — about 43% below the 259 average from prior years.

DROP · ROBBERYZ = 3.22

Robbery

The past 12 months saw 49 incidents — about 43% below the 86 average from prior years.

DROP · BURGLARYZ = 2.77

Burglary

The past 12 months saw 65 incidents — about 57% below the 152 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
2024-042026-03
Robbery-20%
2024-042026-03
Aggravated Assault-22%
2024-042026-03
Sexual Assault-18%
2024-042026-03
Burglary-12%
2024-042026-03
Theft from Vehicle-48%
2024-042026-03
Other Larceny-34%
2024-042026-03
Motor Vehicle Theft-62%
2024-042026-03
Vandalism-48%
2024-042026-03
Arsonbelow threshold
2024-042026-03
05 · Forecast

What next month likely looks like

Forecasts trained through March 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

APRIL 2026
Most likely 4 next month — likely between 0 and 11.
31% vs 12-month average (≈5.4)

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

APRIL 2026
Most likely 17 next month — likely between 0 and 34.
+93% vs 12-month average (≈8.7)

Other Larceny

APRIL 2026
Most likely 19 next month — likely between 2 and 37.
+33% vs 12-month average (≈14.3)

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

APRIL 2026
Most likely 19 next month — likely between 4 and 34.
+34% vs 12-month average (≈14.2)

Vandalism

APRIL 2026
Most likely 19 next month — likely between 9 and 31.
+55% vs 12-month average (≈12.4)
06 · Context & comps

How Mid-City compares

Peer neighborhoods picked by closest 12-month theft from vehicle 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 theft from vehicle levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

simplegrandpettytfmvmorefirearmweaponinjurydeadlyresidentialaccessoriespartsthreatsintimatepartneraggravatedbfmvidentitylesspossesswarrantalcoholappearbenchcharge
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
035871612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
08271,653MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0485969JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

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