DROP · MOTOR VEHICLE THEFTAPRIL 2026 BRIEFINGLOS ANGELES · 26.3K residents

Lake Balboa Crime Rate Trends — Los Angeles

Lake Balboa is a central San Fernando Valley neighborhood organized around the 80-acre Lake Balboa and the surrounding Anthony C. Beilenson Park, west of Van Nuys. Predominantly single-family ranch homes on a tight grid, with the Sepulveda Dam recreation area on its eastern edge.

MOTOR VEHICLE THEFT · 24-MO COUNT04 2026 · 2
0102112-mo avg: 5.5
LAKE BALBOACITYWIDE TREND (RESCALED)-33% 12MO YOY
-60%MoM
-36%12mo YoY
66last 12mo
2this month
01 · TL;DR

Five signals across Lake Balboa in April 2026 — two one-month below-trend moves and three sustained multi-month structural shifts. The structural story is the stronger one: three categories are running below their prior-year baselines in a way that reflects a longer-term pattern, not just a quiet April.

Motor Vehicle Theft is the sharpest single signal: 66 incidents over the current 12 months against a baseline mean of 112.62, down 35.9% year over year. Theft from Vehicle appears twice in the top signals — once as a one-month drop and once as a sustained shift — with the 12-month total at 76 against 125 the prior year, a 39.2% reduction. Aggravated Assault rounds out the structural picture, down 28.8% over the same window (42 vs. 59). The remaining tracked categories — Burglary, Other Larceny, Vandalism, and Robbery — were within range, with Robbery flat at 14 incidents year over year.

2 drops3 sustained shifts
02 · Notable signals

Notable signals 2

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 66 incidents — about 41% below the 113 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 76 incidents — about 56% below the 173 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
Robbery0%
2024-052026-04
Aggravated Assault-29%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-15%
2024-052026-04
Theft from Vehicle-39%
2024-052026-04
Other Larceny-38%
2024-052026-04
Motor Vehicle Theft-36%
2024-052026-04
Vandalism-13%
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

MAY 2026
Most likely 8 next month — likely between 4 and 13.
+60% vs 12-month average (≈5.3)

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 7 next month — likely between 0 and 14.
+36% vs 12-month average (≈5.5)

Other Larceny

MAY 2026
Most likely 5 next month — likely between 0 and 9.
13% vs 12-month average (≈5.3)

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

MAY 2026
Most likely 12 next month — likely between 2 and 23.
+96% vs 12-month average (≈6.3)

Vandalism

MAY 2026
Most likely 12 next month — likely between 7 and 18.
+24% vs 12-month average (≈9.6)
06 · Context & comps

How Lake Balboa 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 Lake Balboa has spiked vandalism 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.

Lake Balboa historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Vandalism15100%
Aggravated assault1172.7%
Burglary955.6%
Robbery6100%
Other larceny6100%
Theft from vehicle3— too few

Each row shows Lake Balboa'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 Lake Balboa, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

grandsimplemoreresidentialtfmvpettyinjuryidentityfirearmthreatsbfmvweaponaggravateddeadlyalcohollessconsentintimatepartnerpossessaccessoriescourtpartswarrantwithout
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
012925712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0343685MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0183366JanFebMarAprMayJunJulAugSepOctNovDec
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.