DROP · MOTOR VEHICLE THEFTAPRIL 2026 BRIEFINGLOS ANGELES · 6.1K 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 COUNT04 2026 · 0
061312-mo avg: 0.0
HARVARD PARKCITYWIDE TREND (RESCALED)-33% 12MO YOY
MoM
-100%12mo YoY
0last 12mo
0this month
01 · TL;DR

Seven categories ran below trend in Harvard Park this April — every tracked signal this month was a drop, with no spikes, sustained shifts, or rare events in the mix. The pattern is uniform: property crime across the board is running well under its multi-year baseline.

Motor Vehicle Theft leads the signal list, with the current 12-month total at 0 against a prior-year total of 52 — a -100.0% move. Other Larceny and Theft from Vehicle tell the same story: 0 incidents each over the trailing 12 months, against 23 and 36 respectively in the year before. Everything else tracked this month fell within a similarly quiet range.

7 drops
02 · Notable signals

Notable signals 6

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 0 incidents — about 100% below the 112 average from prior years.

DROP · OTHER LARCENY

Other Larceny

The past 12 months saw 0 incidents — about 100% below the 57 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

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

DROP · AGGRAVATED ASSAULT

Aggravated Assault

The past 12 months saw 0 incidents — about 100% below the 69 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 0 incidents — about 100% below the 55 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 0 incidents — about 100% below the 50 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
2024-052026-04
Robberybelow threshold
2024-052026-04
Aggravated Assaultbelow threshold
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglarybelow threshold
2024-052026-04
Theft from Vehiclebelow threshold
2024-052026-04
Other Larcenybelow threshold
2024-052026-04
Motor Vehicle Theftbelow threshold
2024-052026-04
Vandalismbelow threshold
2024-052026-04
Arsonbelow threshold
2024-052026-04
05 · Forecast

What next month likely looks like

Forecasts trained through April 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

MAY 2026
Most likely 6 next month — likely between 0 and 13.

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.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Harvard Park has spiked motor vehicle theft historically (15 events on record), an adjacent neighborhood spiked the same category within 3 months 100% of the time. The strongest-travelling categories sit at the top of the table.

Harvard Park historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Motor vehicle theft15100%
Burglary119.1%
Theft from vehicle3— too few

Each row shows Harvard Park's historical spike events for that category, and how often any of its 5 adjacent neighborhoods spiked the same category within the next 3 months. A high same-category rate suggests a shock that travels (e.g. theft crews moving across Los Angeles); a low rate means spikes here tend to be local to the neighborhood. Categories with fewer than 5 historical spike events are listed but their rates are suppressed.

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 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.