DROP · MOTOR VEHICLE THEFTMARCH 2026 BRIEFINGLOS ANGELES · 5.3K residents

Harvard Park Crime Rate Trends — Los Angeles

Harvard Park is a South LA residential neighborhood around Western Avenue and 71st Street, between Hyde Park and Vermont-Slauson. Predominantly single-family bungalows on a tight grid, anchored by Harvard Park itself and the Western Avenue commercial strip.

MOTOR VEHICLE THEFT · 24-MO COUNT03 2026 · 0
061312-mo avg: 0.0
HARVARD PARKCITYWIDE TREND (RESCALED)-34% 12MO YOY
MoM
-100%12mo YoY
0last 12mo
0this month
01 · TL;DR

Seven categories ran below trend in Harvard Park this March — every tracked property and violent crime bucket moved in the same direction. The shape is a broad, uniform below-trend month, not a single-category story: robbery, aggravated assault, burglary, theft from vehicle, other larceny, motor vehicle theft, and vandalism all registered below-trend signals with no offsetting spikes anywhere in the mix.

Motor vehicle theft anchors the top of the rankings: the current 12-month total stands at 0 against a prior-year count of 61, a -100.0% shift year-over-year. Other larceny and theft from vehicle follow the same pattern — 0 incidents in the current 12 months against prior-year counts of 29 and 39, respectively. Every other tracked category held at 0 for the current period as well, leaving the entire crime profile for Harvard Park at zero reported incidents across all seven buckets this month.

7 drops
02 · Notable signals

Notable signals 6

DROP · MOTOR VEHICLE THEFTZ = 6.90

Motor Vehicle Theft

The past 12 months saw 0 incidents — about 100% below the 113 average from prior years.

DROP · OTHER LARCENYZ = 5.95

Other Larceny

The past 12 months saw 0 incidents — about 100% below the 58 average from prior years.

DROP · THEFT FROM VEHICLEZ = 5.01

Theft from Vehicle

The past 12 months saw 0 incidents — about 100% below the 68 average from prior years.

DROP · AGGRAVATED ASSAULTZ = 4.49

Aggravated Assault

The past 12 months saw 0 incidents — about 100% below the 70 average from prior years.

DROP · VANDALISMZ = 3.85

Vandalism

The past 12 months saw 0 incidents — about 100% below the 56 average from prior years.

DROP · ROBBERYZ = 3.25

Robbery

The past 12 months saw 0 incidents — about 100% below the 51 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
Robberybelow threshold
2024-042026-03
Aggravated Assaultbelow threshold
2024-042026-03
Sexual Assaultbelow threshold
2024-042026-03
Burglarybelow threshold
2024-042026-03
Theft from Vehiclebelow threshold
2024-042026-03
Other Larcenybelow threshold
2024-042026-03
Motor Vehicle Theftbelow threshold
2024-042026-03
Vandalismbelow threshold
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 4 next month — likely between 0 and 12.

Other Larceny

NO FORECAST

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

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

NO FORECAST

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

Vandalism

NO FORECAST

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

06 · Context & comps

How Harvard Park compares

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

07 · Patterns

Recurring local terms (last 12 months)

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

Not enough data this window.
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
08016112am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0195391MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0123246JanFebMarAprMayJunJulAugSepOctNovDec
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.