Griffith Park Crime Rate Trends — Los Angeles
Griffith Park is the 4,200-acre municipal park in the eastern Santa Monica Mountains — the largest urban park in the country with a wilderness component. Anchors include the Griffith Observatory, the LA Zoo, the Greek Theatre, the Autry Museum, and the Hollywood Sign on the south ridge; almost no residential population.
March 2026 produced no tracked signals in Griffith Park — zero categories crossed the anomaly threshold this month. That said, the 12-month picture across the neighborhood is far from uniform. Motor vehicle theft and vandalism are both running above the prior year, while burglary, theft from vehicle, sexual assault, and other larceny are all down against the same period.
The most notable 12-month moves sit at opposite ends: burglary recorded 0 incidents against 11 in the prior year, a 100.0% drop, and sexual assault fell from 7 to 2, down 71.4%. Vandalism moved the other way — 56 incidents in the current 12 months against 44 prior, up 27.3% — and motor vehicle theft rose from 5 to 8, up 60.0%. Everything else — aggravated assault, other larceny, theft from vehicle — is down but within a more modest range.
Notable signals 0
Nothing notable surfaced this month — every category sits within normal range against its baseline.
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.
What's been quietly true for a year
Spikes get attention. Sustained shifts shape policy. These are multi-quarter patterns where the past 12-month total differs meaningfully from the year before — they often precede the baseline resetting.
No sustained shifts surfaced this month.
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
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Arson
Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.
Burglary
Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.
Homicide
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Motor Vehicle Theft
Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.
Other Larceny
Robbery
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Sexual Assault
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Theft from Vehicle
Vandalism
How Griffith Park compares
Peer neighborhoods picked by closest 12-month other larceny 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 other larceny levels.”
Gramercy Park
29 incidents over the past 12 months — 0 below Griffith Park's 29.
Open page →Beverly Crest
28 incidents over the past 12 months — 1 below Griffith Park's 29.
Open page →Toluca Lake
27 incidents over the past 12 months — 2 below Griffith Park's 29.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for Griffith Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.
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.
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.