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King County, WA — Gas stations Saturation

How many gas stations 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. 113 ZIP codes analyzed.

Includes: Gas stations with a convenience store · Fuel + mart locations. Counted together because official statistics use one 447110 code.

Measured density: Well below average — 0.45× the U.S. rate (between 0.45× and 0.54× 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. 63 ZIP cells in this county are withheld, 32 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

Well below the U.S. rate   King County gas stations — 45–54% of the U.S. rate

315 gas stations are counted in King County — 1.1 per 10,000 people present (residents + daytime workers), 45% of the U.S. rate of 2.4.

On the comparable ZIP set (ZIPs with a published count in every year), the total has fallen 11% between 2015 and 2023 (337 → 301). 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 98148 (Seattle), 98047 (Pacific), 98045 (North Bend) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 98052 (Redmond), 98004 (Bellevue), 98144 (Seattle).

Census County Business Patterns (2023) puts the county-wide count at 346 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: King County sits at 45% of the U.S. rate for gas stations. 32 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 45% and 54% of the U.S. rate. Why. The highest measured density is in 98148 and 98047; the lowest measured density is in 98052 and 98004.

This is a supply-side read: it counts existing gas stations 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.

Gas stations
315–441
published count; upper bound counts each withheld ZIP cell as 2 (63 cells) (2023)
Per 10,000 present
1.1
residents + daytime workers
U.S. average
2.4
per 10,000 present
County index
0.45×
vs. U.S.
Latest year (CBP)
346
2023 — $89M annual payroll
Residents
2,298,524
82 ZIPs with data
Workers
1,295,866
jobs located in county

Is the area growing?

Population
2,340,211
Census PEP, July 1 2024
Change since 2020
+2.9%
+65,862 people
Net migration 2024
+35,932
international +48,433, domestic −12,501
Jobs located here
1,462,772
LODES 2022, +6.0% since 2019

King County had an estimated 2,340,211 residents on July 1, 2024 — 2.9% more than in 2020 (+65,862). In the latest year it gained 43,398 people: births minus deaths +7,415, international migration +48,433, domestic migration −12,501. Components are published separately and may not sum exactly.

1,462,772 jobs were located in the county in 2022 (+6.0% since 2019), and 1,114,772 employed residents lived there (+4.5% 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
98101 Seattle
+27.1%
98010 Black Diamond
+22.4%
98034 Kirkland
+20.8%
ZIP losing residents
2015–19 → 2020–24
Change
98024 Fall City
−43.3%
98148 Seattle
−20.0%
98011 Bothell
−14.4%

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 gasoline stations only as a broader 2022 grouping (NAICS 4571) that also includes other fuel retailers, so a convenience-store-gas-station-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. Individual mapped shops appear as dots at street level — Show locations zooms you in to them (scroll or double-click to zoom).

Basemap:
Under 50% 50–100% 100–150% 150–250% 250%+ 0–2 (not published) / no data ZIP total (dot size) Mapped shop (OpenStreetMap, street level)

Map data © OpenStreetMap contributors, tiles by OpenFreeMap.

White dots are ZIP totals from the official Census count — the bigger the dot, the more gas stations in that ZIP. They are aggregated, not individual shops. Turquoise dots are individual locations mapped in OpenStreetMap, shown only at street level; they are crowd-sourced and indicative, may be incomplete, and do not equal the official counts. Only the official ZIP totals feed the saturation index.

Market trend — down 11% since 2015

Number of gas stations in King 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.

337
2015
333
2018
329
2020
320
2021
323
2022
301
2023

Highest measured density

ZIP
vs. U.S. average
Index
98148 Seattle
218%
98047 Pacific
186%
98045 North Bend
149%
98002 Auburn
140%
98168 Seattle
125%
98188 Seattle
111%
98126 Seattle
101%
98056 Renton
100%
98177 Seattle
96%
98007 Bellevue
95%
98155 Seattle
87%
98032 Kent
84%
98038 Maple Valley
84%
98108 Seattle
84%
98005 Bellevue
83%

Lowest measured density

ZIP
vs. U.S. average
Index
98052 Redmond
16%
98004 Bellevue
16%
98144 Seattle
32%
98055 Renton
35%
98105 Seattle
35%
98006 Bellevue
35%
98058 Renton
38%
98059 Renton
38%
98031 Kent
38%
98103 Seattle
39%
98034 Kirkland
40%
98115 Seattle
42%
98122 Seattle
44%
98107 Seattle
47%
98072 Woodinville
47%
Low measured density is not evidence of opportunity. A ZIP with few gas stations 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.

Employment hubs & destinations

These ZIPs have far more workers (or visitors) than residents, so their counts are driven by daytime and visitor demand — not a place to read "shortage" from resident numbers alone.

ZIPNeighborhoodType ResidentsWorkersGas stationsIndex
98134Seattle Destination 64539,386 4 83%
98057Renton Employment hub 12,70541,810 5 63%
98050Preston Employment hub 1081,014 0–2 —
98101Seattle Employment hub 17,15396,469 0–2 —
98104Seattle Employment hub 16,54263,710 0–2 —
98164Seattle Employment hub 2922,891 0–2 —
98195Seattle Employment hub 2,7578,614 0–2 —
98288Skykomish Employment hub 169477 0–2 —

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIPNeighborhood ResidentsWorkersGas stations Per 10kIndexStatus
98148Seattle 9,7153,818 6 5.2 218% High density
98047Pacific 6,8174,522 4 4.4 186% High density
98045North Bend 15,2893,325 6 3.5 149% Above average
98002Auburn 37,50915,645 15 3.3 140% Above average
98168Seattle 35,52816,934 13 3.0 125% Above average
98188Seattle 27,31143,850 13 2.6 111% Above average
98126Seattle 22,9754,021 6 2.4 101% Above average
98056Renton 35,8494,257 9 2.4 100% Below average
98177Seattle 21,0901,698 5 2.3 96% Below average
98007Bellevue 27,69215,738 8 2.2 95% Below average
98155Seattle 36,5114,619 8 2.1 87% Below average
98032Kent 40,86259,428 14 2.0 84% Below average
98038Maple Valley 37,3246,029 8 2.0 84% Below average
98108Seattle 25,52929,689 8 2.0 84% Below average
98005Bellevue 21,84627,375 7 2.0 83% Below average
98134Seattle 64539,386 4 2.0 83% Below average
98133Seattle 53,24915,774 12 2.0 83% Below average
98117Seattle 35,7114,293 7 1.8 78% Below average
98011Bothell 28,96313,644 6 1.7 71% Below average
98125Seattle 44,5209,397 8 1.6 69% Below average
98199Seattle 22,4684,960 4 1.6 68% Below average
98106Seattle 28,6906,209 5 1.6 66% Below average
98057Renton 12,70541,810 5 1.5 63% Below average
98030Kent 38,5234,672 6 1.5 62% Below average
98178Seattle 26,7481,850 4 1.4 61% Below average
98003Federal Way 51,61921,771 9 1.4 61% Below average
98023Federal Way 50,4483,990 7 1.3 56% Below average
98033Kirkland 40,98226,821 7 1.3 54% Below average
98118Seattle 50,5008,751 7 1.3 54% Below average
98116Seattle 28,7116,402 4 1.3 53% Below average
98053Redmond 22,7655,764 3 1.2 49% Far below average
98022Enumclaw 22,4186,856 3 1.2 49% Far below average
98001Auburn 37,46029,403 6 1.2 49% Far below average
98198Seattle 40,4636,976 5 1.1 48% Far below average
98042Kent 50,2167,063 6 1.1 47% Far below average
98072Woodinville 24,44623,071 4 1.1 47% Far below average
98107Seattle 28,77614,757 4 1.1 47% Far below average
98122Seattle 43,23427,645 6 1.1 44% Far below average
98115Seattle 54,34911,038 6 1.0 42% Far below average
98034Kirkland 52,53122,274 6 0.9 40% Far below average
98103Seattle 52,67125,838 6 0.9 39% Far below average
98031Kent 40,0948,748 4 0.9 38% Far below average
98059Renton 42,4064,262 4 0.9 38% Far below average
98058Renton 42,9803,663 4 0.9 38% Far below average
98006Bellevue 40,00915,660 4 0.8 35% Far below average
98105Seattle 49,76721,275 5 0.8 35% Far below average
98055Renton 24,66023,311 3 0.8 35% Far below average
98144Seattle 33,78711,888 3 0.8 32% Far below average
98004Bellevue 39,89774,258 3 0.4 16% Far below average
98052Redmond 80,717106,441 5 0.4 16% Far below average
98008Bellevue 27,2426,622 0–2 — — Not published
98009Bellevue —289 0–2 — — Not published
98010Black Diamond 6,8571,045 0–2 — — Not published
98013Burton —2 0–2 — — Not published
98014Carnation 8,2641,148 0–2 — — Not published
98015Bellevue —29 0–2 — — Not published
98019Duvall 12,2421,647 0–2 — — Not published
98024Fall City 3,908546 0–2 — — Not published
98025Hobart 523 0–2 — — Not published
98027Issaquah 28,95522,093 0–2 — — Not published
98028Kenmore 23,7413,227 0–2 — — Not published
98029Issaquah 30,5868,592 0–2 — — Not published
98035Kent —236 0–2 — — Not published
98039Medina 2,928408 0–2 — — Not published
98040Mercer Island 25,3077,524 0–2 — — Not published
98041Bothell —867 0–2 — — Not published
98050Preston 1081,014 0–2 — — Not published
98051Ravensdale 3,442461 0–2 — — Not published
98062Seahurst —13 0–2 — — Not published
98063Federal Way —229 0–2 — — Not published
98064Kent —77 0–2 — — Not published
98065Snoqualmie 15,9445,392 0–2 — — Not published
98070Vashon 9,9342,416 0–2 — — Not published
98071Auburn —635 0–2 — — Not published
98073Redmond —1,109 0–2 — — Not published
98074Sammamish 30,7612,868 0–2 — — Not published
98075Sammamish 25,4982,019 0–2 — — Not published
98077Woodinville 14,1091,191 0–2 — — Not published
98083Kirkland —235 0–2 — — Not published
98092Auburn 50,2243,898 0–2 — — Not published
98093Federal Way —20 0–2 — — Not published
98101Seattle 17,15396,469 0–2 — — Not published
98102Seattle 27,33310,504 0–2 — — Not published
98104Seattle 16,54263,710 0–2 — — Not published
98109Seattle 34,32868,378 0–2 — — Not published
98111Seattle —376 0–2 — — Not published
98112Seattle 23,9216,614 0–2 — — Not published
98113Seattle —49 0–2 — — Not published
98114Seattle —92 0–2 — — Not published
98119Seattle 26,87920,382 0–2 — — Not published
98121Seattle 21,16634,570 0–2 — — Not published
98124Seattle —367 0–2 — — Not published
98127Seattle —22 0–2 — — Not published
98136Seattle 17,2522,026 0–2 — — Not published
98138Seattle —77 0–2 — — Not published
98139Seattle —30 0–2 — — Not published
98145Seattle —36 0–2 — — Not published
98146Seattle 28,5732,223 0–2 — — Not published
98154Seattle 02,163 0–2 — — Not published
98158Seattle 011,629 0–2 — — Not published
98160Seattle —34 0–2 — — Not published
98161Seattle —546 0–2 — — Not published
98164Seattle 2922,891 0–2 — — Not published
98165Seattle —26 0–2 — — Not published
98166Seattle 22,0826,025 0–2 — — Not published
98170Seattle —19 0–2 — — Not published
98174Seattle 022 0–2 — — Not published
98175Seattle —8 0–2 — — Not published
98181Seattle —23 0–2 — — Not published
98191Seattle —693 0–2 — — Not published
98194Seattle —4 0–2 — — Not published
98195Seattle 2,7578,614 0–2 — — Not published
98288Skykomish 169477 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Redmond

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 Redmond retail space →
Crexi
Free listings + market data
Browse Redmond retail space →
CityFeet
Retail space for lease
Browse Redmond 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 King County and gas stations

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 447110 — gasoline stations with convenience stores. 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: 346 establishments and $89M 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 (2.37 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.