DROP · ROBBERYAPRIL 2026 BRIEFINGSEATTLE · 33.8K residents

Rainier Valley Crime Rate Trends — Seattle

Rainier Valley runs along Rainier Avenue South and the Link light rail line through southeast Seattle, including Columbia City, Hillman City, Brighton, and Rainier Beach. One of the most diverse parts of the city, anchored by the Columbia City landmark district, Othello and Rainier Beach light rail stations, and Lake Washington's Seward Park to the east.

ROBBERY · 24-MO COUNT04 2026 · 6
0142812-mo avg: 8.0
RAINIER VALLEYCITYWIDE TREND (RESCALED)-8% 12MO YOY
-40%MoM
-23%12mo YoY
96last 12mo
6this month
01 · TL;DR

Two categories moved in Rainier Valley in April 2026 — one a single-month below-trend signal, one a structural multi-month shift. The shape of the month is narrow but pointed: robbery ran below trend, and other larceny has moved into sustained-shift territory, meaning the decline there reflects more than a quiet month.

Robbery's current 12-month total is 96 incidents against a prior-year total of 125, down 23.2% year-over-year. Other larceny is down 26.7% — 621 incidents in the trailing 12 months versus 847 the year before — and the sustained-shift signal indicates that gap has been building across multiple months, not just April. Every other tracked category in Rainier Valley came in within normal range this month.

1 drop1 sustained shift
02 · Notable signals

Notable signals 1

DROP · ROBBERY

Robbery

The past 12 months saw 96 incidents — about 32% below the 141 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
Robbery-23%
2024-052026-04
Aggravated Assault-9%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-22%
2024-052026-04
Theft from Vehicle-25%
2024-052026-04
Other Larceny-27%
2024-052026-04
Motor Vehicle Theft-15%
2024-052026-04
Vandalism+3%
2024-052026-04
Arson+25%
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 43 next month — likely between 28 and 57.
+41% vs 12-month average (≈30.5)

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 43 next month — likely between 11 and 74.
+34% vs 12-month average (≈32.2)

Other Larceny

MAY 2026
Most likely 70 next month — likely between 49 and 90.
+35% vs 12-month average (≈51.8)

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 54 next month — likely between 27 and 83.
+42% vs 12-month average (≈38.0)

Vandalism

MAY 2026
Most likely 35 next month — likely between 16 and 54.
+19% vs 12-month average (≈29.5)
06 · Context & comps

How Rainier Valley compares

Peer neighborhoods picked by closest 12-month robbery 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 robbery levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Rainier Valley has spiked other larceny historically (6 events on record), an adjacent neighborhood spiked the same category within 3 months 83.3% of the time. The strongest-travelling categories sit at the top of the table.

Rainier Valley historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny683.3%
Motor vehicle theft4— too few

Each row shows Rainier Valley's historical spike events for that category, and how often any of its 3 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 Seattle); 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 Rainier Valley, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

breakingenteringdestructionnibrsreportableaggravatedsimpleshopliftingaccessoriespartsbuildingweapondrivinginfluencefraudautomatedcardcreditintimidationmachinetelleridentityconfidencefalsegame
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
01,3982,79512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,9673,934MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,1832,366JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from SPD's Crime Data feed on Seattle Open Data, 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.