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Snohomish County, WA — Car washes Saturation

How many car washes exist per person present — residents plus daytime workers — by ZIP code, compared with the U.S. average. Establishment data: Census ZBP 2023. Population: ACS 2024 5-year. 35 ZIP codes analyzed.

Includes: Car wash tunnels & bays · Self-serve & automatic washes · Detailing (wash-attached). Counted together because official statistics use one 811192 code.

Measured density: Range spans bands — 0.79× the U.S. rate (between 0.79× and 1.54× once withheld ZIP cells are counted)

Why a range: Census does not publish a ZIP-by-industry count when that ZIP has 0–2 businesses. 26 ZIP cells in this county are withheld, 18 of them with residents. Each could hold 0, 1, or 2 businesses: counting them all as 0 gives the low end, counting them all as 2 gives the high end — the data cannot say where the truth sits. The density range uses only the populated cells, since ZIPs without residents are excluded from per-person rates. How ranges work

Range spans the U.S. rate   Snohomish County car washes — 79–154% of the U.S. rate

38 car washes are counted in Snohomish County — 0.4 per 10,000 people present (residents + daytime workers), 79% of the U.S. rate of 0.5.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 50% between 2015 and 2023 (14 → 21). That set is smaller than today's county total. 2020–2021 were pandemic-distorted, and Census rounds counts, so small moves are within noise.

Measured supply density is highest in 98275 (Mukilteo), 98037 (Lynnwood), 98036 (Lynnwood) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 98204 (Everett), 98203 (Everett), 98272 (Monroe).

Census County Business Patterns (2023) puts the county-wide count at 48 establishments, including locations in ZIP codes that do not map to a ZCTA — so it can run slightly above the sum of the ZIP rows on this page. It is annual, so it lags more than QCEW.

Measured density: Snohomish County sits at 79% of the U.S. rate for car washes. 18 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 79% and 154% of the U.S. rate. Why. The highest measured density is in 98275 and 98037; the lowest measured density is in 98204 and 98203.

This is a supply-side read: it counts existing car washes and the people present, not foot traffic, income, rent, or whether locals want more. Treat low density as a question to check, not an answer.

Car washes
38–90
published count; upper bound counts each withheld ZIP cell as 2 (26 cells) (2023)
Per 10,000 present
0.4
residents + daytime workers
U.S. average
0.5
per 10,000 present
County index
0.79×
vs. U.S.
Latest year (CBP)
48
2023 — $9M annual payroll
Residents
841,433
27 ZIPs with data
Workers
277,304
jobs located in county

Is the area growing?

Population
864,113
Census PEP, July 1 2024
Change since 2020
+4.1%
+34,138 people
Net migration 2024
+10,220
international +10,153, domestic +67
Jobs located here
286,479
LODES 2022, −1.0% since 2019

Snohomish County had an estimated 864,113 residents on July 1, 2024 — 4.1% more than in 2020 (+34,138). In the latest year it gained 13,816 people: births minus deaths +3,557, international migration +10,153, domestic migration +67. Components are published separately and may not sum exactly.

286,479 jobs were located in the county in 2022 (−1.0% since 2019), and 398,719 employed residents lived there (+2.0% since 2019). LODES counts wage and salary jobs covered by unemployment insurance plus federal jobs; it excludes the self-employed and military, and counts jobs rather than unique people. 2019→2022 spans the pandemic, so read it as one change, not a trend.

Population and migration say whether the customer base is growing. They do not say whether people want another business of this type. Definitions and limits →  ·  Full county detail →

ZIP gaining residents
2015–19 → 2020–24
Change
98258 Lake Stevens
+58.9%
98292 Stanwood
+23.1%
98012 Bothell
+14.3%
ZIP losing residents
2015–19 → 2020–24
Change

No ZIP had a statistically significant decrease.

ACS 5-year estimates for 2015–2019 and 2020–2024. Only ZIPs with at least 2,000 residents in both windows and a change larger than the survey margin of error (90%) are listed — small ZIPs move a lot on paper without a real signal.

Nonemployer businesses

Not shown. Census publishes only a broader group that also includes oil-change and other auto service shops, so a car-wash-only nonemployer count is not published.

Census Nonemployer Statistics 2024 (NAICS 2022). We do not approximate this figure.

Saturation map

Each ZIP area is shaded by its density of this business type per person present (residents + workers) vs. the U.S. average. Click any ZIP to zoom to its boundary, see its numbers, and switch to aerial imagery.

Basemap:
Under 50% 50–100% 100–150% 150–250% 250%+ 0–2 (not published) / no data ZIP total (dot size)

Map data © OpenStreetMap contributors, tiles by OpenFreeMap.

White dots are ZIP totals from the official Census count — the bigger the dot, the more car washes in that ZIP.

Market trend — up 50% since 2015

Number of car washes in Snohomish County across 2015–2023, on a consistent set of ZIP codes present in every year — so changes are real, not ZIP-boundary artifacts. 2015/2018 are pre-pandemic baselines; 2020/2021 are COVID-distorted.

14
2015
18
2018
20
2020
21
2021
20
2022
21
2023

Highest measured density

ZIP
vs. U.S. average
Index
98275 Mukilteo
319%
98037 Lynnwood
286%
98036 Lynnwood
278%
98292 Stanwood
277%
98271 Marysville
219%
98270 Marysville
173%
98272 Monroe
170%
98203 Everett
138%
98204 Everett
88%

Lowest measured density

ZIP
vs. U.S. average
Index
98204 Everett
88%
98203 Everett
138%
98272 Monroe
170%
98270 Marysville
173%
98271 Marysville
219%
98292 Stanwood
277%
98036 Lynnwood
278%
98037 Lynnwood
286%
98275 Mukilteo
319%
Low measured density is not evidence of opportunity. A ZIP with few car washes may simply lack foot traffic, retail space, or demand. We rank only residential and mixed ZIPs here; employment hubs and visitor destinations are listed separately below. ZIPs where Census did not publish a count (0–2 businesses) are not ranked: they may be the least served of all, but the data cannot tell 0 from 1 or 2. Verify those locally.

All ZIP codes

Click a column header to sort. Index = car washes per 10,000 people present (residents + 0.5×workers) ÷ the U.S. average. 100% = exactly average.

ZIPNeighborhood ResidentsWorkersCar washes Per 10kIndexStatus
98275Mukilteo 21,3238,676 4 1.6 319% Very high density
98037Lynnwood 29,72312,043 5 1.4 286% Very high density
98036Lynnwood 42,37018,188 7 1.4 278% Very high density
98292Stanwood 27,3894,229 4 1.4 277% Very high density
98271Marysville 30,83812,835 4 1.1 219% High density
98270Marysville 55,0497,908 5 0.8 173% High density
98272Monroe 31,4369,137 3 0.8 170% High density
98203Everett 35,51717,778 3 0.7 138% Above average
98204Everett 45,13048,469 3 0.4 88% Below average
98012Bothell 77,04110,771 0–2 — — Not published
98020Edmonds 19,5516,420 0–2 — — Not published
98021Bothell 35,63115,316 0–2 — — Not published
98026Edmonds 38,9767,767 0–2 — — Not published
98043Mountlake Terrace 23,1019,070 0–2 — — Not published
98046Lynnwood —35 0–2 — — Not published
98082Mill Creek —207 0–2 — — Not published
98087Lynnwood 41,7967,000 0–2 — — Not published
98201Everett 31,89522,720 0–2 — — Not published
98206Everett —331 0–2 — — Not published
98207Everett 84369 0–2 — — Not published
98208Everett 60,91521,802 0–2 — — Not published
98213Everett —255 0–2 — — Not published
98223Arlington 46,49714,383 0–2 — — Not published
98241Darrington 2,339334 0–2 — — Not published
98251Gold Bar 4,907298 0–2 — — Not published
98252Granite Falls 10,3611,301 0–2 — — Not published
98256Index 36814 0–2 — — Not published
98258Lake Stevens 52,7526,861 0–2 — — Not published
98259North Lakewood —18 0–2 — — Not published
98287Silvana —49 0–2 — — Not published
98290Snohomish 39,8268,182 0–2 — — Not published
98291Snohomish —206 0–2 — — Not published
98293Startup —6 0–2 — — Not published
98294Sultan 7,963841 0–2 — — Not published
98296Snohomish 27,8964,892 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Everett

The numbers above tell you how the market looks. To find a specific storefront, these marketplaces list available retail space for lease.

LoopNet
Largest commercial marketplace
Browse Everett retail space →
Crexi
Free listings + market data
Browse Everett retail space →
CityFeet
Retail space for lease
Browse Everett retail space →

Open vacancy data (actual empty units) is only published by some cities; where it exists we show it directly. Listings above are third-party.

Census withholds some ZIP-by-industry cells to protect small businesses. 0–2 means the cell was not published (Census publishes industry counts only at 3+ per ZIP), so the ZIP is left unranked rather than counted as zero. ~ means the count is estimated from the broader industry group and can be off by a business or two.

Follow Snohomish County and car washes

When a data vintage changes or a section of this report is revised, we post it to a public update feed. No email address, no account, no tracking — and nothing is sent unless something actually changed.

Subscribe to updates (RSS) How these numbers are built →

Methodology & sources

Establishments. U.S. Census ZIP Code Business Patterns (ZBP 2023), NAICS 811192 — car washes. Counts establishments with paid employees. ZBP is published annually with a ~2-year lag.

Fresh county signal. This industry has no clean QCEW series, so the freshest county signal is Census County Business Patterns 2023: 48 establishments and $9M in annual payroll county-wide. This count includes locations in ZIP codes that do not map to a ZCTA, so it can be slightly higher than the sum of the ZIP rows. CBP is annual and slower than QCEW. It cannot be broken down by ZIP.

Population. U.S. Census American Community Survey 2024 5-year ZCTA population (table B01003). Workers are the ZIP's total employment from the same 2023 ZBP file.

Demand ("people present"). Demand comes from residents and daytime workers: residents + 0.5 × workers. This is the single documented assumption in the model and can be tuned.

Index. index = (ZIP establishments ÷ ZIP demand × 10,000) ÷ the U.S. average for this industry (0.49 per 10,000 present). It is a supply-side density measure; it does not capture income, rent, tourism, or whether locals actually want more.

Read the full methodology →  ·  Data sources & vintages →

BizGapMap — free, no-login small-business saturation reports for major U.S. counties. Built entirely from public U.S. Census, BLS, and IRS data (ZBP 2023, ACS 2024 5-year, PEP 2024, LODES, QCEW, IRS SOI). No forecasts, no revenue guesses — withheld cells are marked, and the few derived counts are labelled as estimates.