SUSTAINED RISE · THEFT FROM VEHICLEJULY 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.

THEFT FROM VEHICLE · 24-MO COUNT07 2026 · 17
0122312-mo avg: 12.6
LAKE BALBOACITYWIDE TREND (RESCALED)+32% 12MO YOY
-15%MoM
+99%12mo YoY
151last 12mo
17this month
01 · TL;DR

Lake Balboa produced a single structural signal in July 2026: a sustained shift in theft from vehicle. That one category accounts for the entire anomaly picture this month. Everything else, robbery, aggravated assault, burglary, other larceny, vandalism, all ran below their prior-year levels.

Theft from vehicle is up 98.7% against the prior 12 months, 151 incidents versus 76 in the year before. That kind of two-year structural gap is not a single noisy month; it reflects a change in the baseline pattern for this category in Lake Balboa. The broader property and violent crime picture is moving in the opposite direction: burglary is down 26.7%, other larceny down 28.6%, and robbery down 36.8% over the same 12-month window.

1 sustained shift
02 · Notable signals

Notable signals 0

Nothing notable surfaced this month — every category sits within normal range against its baseline.

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
2024-082026-07
Robbery-37%
2024-082026-07
Aggravated Assault-16%
2024-082026-07
Sexual Assaultbelow threshold
2024-082026-07
Burglary-27%
2024-082026-07
Theft from Vehicle+99%
2024-082026-07
Other Larceny-29%
2024-082026-07
Motor Vehicle Theft+22%
2024-082026-07
Vandalism-10%
2024-082026-07
Arsonbelow threshold
2024-082026-07
05 · Forecast

What next month likely looks like

Forecasts trained through July 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

AUGUST 2026
Most likely 8 next month — likely between 3 and 12.
+65% vs 12-month average (≈4.6)

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

AUGUST 2026
Most likely 6 next month — likely between 0 and 14.
+4% vs 12-month average (≈6.1)

Other Larceny

AUGUST 2026
Most likely 6 next month — likely between 2 and 12.
+40% vs 12-month average (≈4.6)

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

AUGUST 2026
Most likely 10 next month — likely between 0 and 21.
22% vs 12-month average (≈12.6)

Vandalism

AUGUST 2026
Most likely 9 next month — likely between 4 and 15.
2% vs 12-month average (≈9.4)
06 · Context & comps

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

grandsimplemoretfmvpettyresidentialinjurycourtidentityaccessoriespartsbfmvorderalcoholthreatsfirearmintimatelessweaponaggravateddeadlypartnerpropdomesticviolence
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
013226412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0329659MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0190381JanFebMarAprMayJunJulAugSepOctNovDec
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.