DROP · BURGLARYMARCH 2026 BRIEFINGLOS ANGELES · 25.3K residents

Jefferson Park Crime Rate Trends — Los Angeles

Jefferson Park is a South LA neighborhood organized around Jefferson Boulevard and Crenshaw Boulevard. Predominantly Craftsman bungalows on a tight grid; bordered by West Adams to the north and Leimert Park to the south.

BURGLARY · 24-MO COUNT03 2026 · 1
071412-mo avg: 0.5
JEFFERSON PARKCITYWIDE TREND (RESCALED)-29% 12MO YOY
MoM
-85%12mo YoY
6last 12mo
1this month
01 · TL;DR

Ten tracked signals across Jefferson Park in March 2026 — six below-trend drops and four sustained structural shifts. The overall shape is a broad, multi-category decline in property crime, not a single outlier pulling the numbers down.

Burglary is the sharpest move: 6 incidents in the current 12 months against a baseline mean of 42.4, down 85.4% from 41 in the prior year. Other larceny and vandalism also ran below trend, off 46.4% and 32.5% year-over-year respectively. The four sustained-shift signals reinforce that these aren't single noisy months — aggravated assault is down 38.0% over the trailing 12 months (67 vs 108), and motor vehicle theft is down 33.6% (101 vs 152), pointing to a structural move rather than a calendar blip.

6 drops4 sustained shifts
02 · Notable signals

Notable signals 6

DROP · BURGLARYZ = 6.26

Burglary

The past 12 months saw 6 incidents — about 86% below the 42 average from prior years.

DROP · OTHER LARCENYZ = 3.98

Other Larceny

The past 12 months saw 45 incidents — about 49% below the 89 average from prior years.

DROP · VANDALISMZ = 3.60

Vandalism

The past 12 months saw 85 incidents — about 27% below the 116 average from prior years.

DROP · MOTOR VEHICLE THEFTZ = 3.27

Motor Vehicle Theft

The past 12 months saw 101 incidents — about 45% below the 185 average from prior years.

DROP · AGGRAVATED ASSAULTZ = 2.73

Aggravated Assault

The past 12 months saw 67 incidents — about 38% below the 108 average from prior years.

DROP · ROBBERYZ = 2.55

Robbery

The past 12 months saw 23 incidents — about 38% below the 37 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-18%
2024-042026-03
Aggravated Assault-38%
2024-042026-03
Sexual Assaultbelow threshold
2024-042026-03
Burglarybelow threshold
2024-042026-03
Theft from Vehicle-22%
2024-042026-03
Other Larceny-46%
2024-042026-03
Motor Vehicle Theft-34%
2024-042026-03
Vandalism-33%
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

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

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 12 next month — likely between 5 and 20.
+48% vs 12-month average (≈8.4)

Other Larceny

APRIL 2026
Most likely 4 next month — likely between 0 and 9.
+18% vs 12-month average (≈3.8)

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

APRIL 2026
Most likely 14 next month — likely between 7 and 21.
+32% vs 12-month average (≈10.6)

Vandalism

APRIL 2026
Most likely 11 next month — likely between 5 and 17.
+60% vs 12-month average (≈7.1)
06 · Context & comps

How Jefferson Park 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 Jefferson Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

grandsimplemoretfmvfirearminjurypettyweaponaccessoriespartsdeadlybfmvthreatspossessintimatepartneraggravatedlessidentityconsentcontrolledsubstanceownerwithouttake
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
015531012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0366732MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0226451JanFebMarAprMayJunJulAugSepOctNovDec
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.