Home / Limited-service restaurants (fast food) / Washington / King County, WA

King County, WA — Fast food Saturation

Name: Fast food density by ZIP code in King County, WA
Creator: BizGapMap

How many fast food 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: Fast food · Quick-service restaurants · Takeout & delivery counters · Pizza delivery · Sandwich & burger chains. Counted together because official statistics use one 722513 code.

Measured density: Below average — 0.89× the U.S. rate (between 0.89× and 0.90× 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. 40 ZIP cells in this county are withheld, 10 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 King County fast food — 89–90% of the U.S. rate

1,769 fast food are counted in King County — 6.0 per 10,000 people present (residents + daytime workers), 89% of the U.S. rate of 6.7.

On the comparable ZIP set (ZIPs with a published count in every year), the total has stayed roughly flat between 2015 and 2023 (1,726 → 1,761).

Measured supply density is highest in 98148 (Seattle), 98166 (Seattle), 98105 (Seattle) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 98075 (Sammamish), 98178 (Seattle), 98058 (Renton).

BLS QCEW puts the latest county-wide count (2026 Q1) at 1,647 establishments, the freshest available signal.

Measured density: King County sits at 89% of the U.S. rate for fast food. 10 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 89% and 90% of the U.S. rate. Why. The highest measured density is in 98148 and 98166; the lowest measured density is in 98075 and 98178.

This is a supply-side read: it counts existing fast food 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.

Fast food

1,769–1,849

published count; upper bound counts each withheld ZIP cell as 2 (40 cells) (2023)

Per 10,000 present

6.0

residents + daytime workers

U.S. average

6.7

per 10,000 present

County index

0.89×

vs. U.S.

Latest quarter (QCEW)

1,647

2026 Q1 — county total

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 (no paid employees)

Nonemployer businesses

293

no paid employees (2024)

Receipts

$22.4M

published gross receipts

Receipts per business

$76K

gross, not profit

Census Nonemployer Statistics counts businesses with no paid employees — a separate universe from the employer establishments counted above; a business is in one or the other, never both. They are not storefronts by definition: many are home-based, mobile, or part-time.

We show them beside the density index, not inside it. In categories such as nail and beauty salons, child care, and pet care, one-person businesses can outnumber employer establishments, so the employer-only count understates how many businesses exist. That is not evidence of higher demand.

Receipts are gross revenue reported for these businesses — not profit, and not the size of the local market. Census publishes this only at county level, so it is not shown on the ZIP map. See methodology.

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 fast food 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 — up 2% since 2015

Number of fast food 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.

1,726

2015

1,837

2018

1,722

2020

1,722

2021

1,772

2022

1,761

2023

Highest measured density

ZIP

vs. U.S. average

Index

98148 Seattle

206%

98166 Seattle

149%

98105 Seattle

146%

98188 Seattle

143%

98107 Seattle

141%

98003 Federal Way

139%

98121 Seattle

129%

98007 Bellevue

126%

98122 Seattle

126%

98032 Kent

123%

98002 Auburn

122%

98133 Seattle

118%

98072 Woodinville

117%

98045 North Bend

115%

98004 Bellevue

111%

Lowest measured density

ZIP

vs. U.S. average

Index

98075 Sammamish

23%

98178 Seattle

27%

98058 Renton

30%

98077 Woodinville

31%

98053 Redmond

35%

98092 Auburn

40%

98168 Seattle

41%

98126 Seattle

42%

98106 Seattle

42%

98059 Renton

44%

98177 Seattle

48%

98065 Snoqualmie

48%

98119 Seattle

49%

98117 Seattle

51%

98070 Vashon

54%

Low measured density is not evidence of opportunity. A ZIP with few fast food 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.

ZIP	Neighborhood	Type	Residents	Workers	Fast food	Index
98104	Seattle	Employment hub	16,542	63,710	69	214%
98057	Renton	Employment hub	12,705	41,810	46	205%
98101	Seattle	Employment hub	17,153	96,469	84	193%
98134	Seattle	Destination	645	39,386	17	125%
98050	Preston	Employment hub	108	1,014	0–2	—
98164	Seattle	Employment hub	292	2,891	0–2	—
98195	Seattle	Employment hub	2,757	8,614	0–2	—
98288	Skykomish	Employment hub	169	477	0–2	—

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIP	Neighborhood	Residents	Workers	Fast food	Per 10k	Index	Status
98104	Seattle	16,542	63,710	69	14.3	214%	High density
98148	Seattle	9,715	3,818	16	13.8	206%	High density
98057	Renton	12,705	41,810	46	13.7	205%	High density
98101	Seattle	17,153	96,469	84	12.8	193%	High density
98166	Seattle	22,082	6,025	25	10.0	149%	Above average
98105	Seattle	49,767	21,275	59	9.8	146%	Above average
98188	Seattle	27,311	43,850	47	9.5	143%	Above average
98107	Seattle	28,776	14,757	34	9.4	141%	Above average
98003	Federal Way	51,619	21,771	58	9.3	139%	Above average
98121	Seattle	21,166	34,570	33	8.6	129%	Above average
98007	Bellevue	27,692	15,738	30	8.4	126%	Above average
98122	Seattle	43,234	27,645	48	8.4	126%	Above average
98134	Seattle	645	39,386	17	8.4	125%	Above average
98032	Kent	40,862	59,428	58	8.2	123%	Above average
98002	Auburn	37,509	15,645	37	8.2	122%	Above average
98133	Seattle	53,249	15,774	48	7.9	118%	Above average
98072	Woodinville	24,446	23,071	28	7.8	117%	Above average
98045	North Bend	15,289	3,325	13	7.7	115%	Above average
98004	Bellevue	39,897	74,258	57	7.4	111%	Above average
98027	Issaquah	28,955	22,093	28	7.0	105%	Above average
98006	Bellevue	40,009	15,660	32	6.7	100%	Above average
98103	Seattle	52,671	25,838	43	6.6	98%	Below average
98038	Maple Valley	37,324	6,029	26	6.4	97%	Below average
98034	Kirkland	52,531	22,274	40	6.3	94%	Below average
98109	Seattle	34,328	68,378	43	6.3	94%	Below average
98019	Duvall	12,242	1,647	8	6.1	92%	Below average
98055	Renton	24,660	23,311	22	6.1	91%	Below average
98056	Renton	35,849	4,257	23	6.1	91%	Below average
98116	Seattle	28,711	6,402	19	6.0	89%	Below average
98030	Kent	38,523	4,672	24	5.9	88%	Below average
98029	Issaquah	30,586	8,592	20	5.7	86%	Below average
98033	Kirkland	40,982	26,821	31	5.7	85%	Below average
98005	Bellevue	21,846	27,375	20	5.6	84%	Below average
98031	Kent	40,094	8,748	25	5.6	84%	Below average
98144	Seattle	33,787	11,888	22	5.5	83%	Below average
98108	Seattle	25,529	29,689	22	5.4	82%	Below average
98125	Seattle	44,520	9,397	26	5.3	79%	Below average
98011	Bothell	28,963	13,644	18	5.0	75%	Below average
98022	Enumclaw	22,418	6,856	13	5.0	75%	Below average
98118	Seattle	50,500	8,751	27	4.9	74%	Below average
98008	Bellevue	27,242	6,622	15	4.9	74%	Below average
98198	Seattle	40,463	6,976	21	4.8	72%	Below average
98115	Seattle	54,349	11,038	28	4.7	70%	Below average
98023	Federal Way	50,448	3,990	24	4.6	69%	Below average
98052	Redmond	80,717	106,441	60	4.5	67%	Below average
98047	Pacific	6,817	4,522	4	4.4	66%	Below average
98136	Seattle	17,252	2,026	8	4.4	66%	Below average
98155	Seattle	36,511	4,619	16	4.1	62%	Below average
98074	Sammamish	30,761	2,868	13	4.0	61%	Below average
98001	Auburn	37,460	29,403	21	4.0	60%	Below average
98199	Seattle	22,468	4,960	10	4.0	60%	Below average
98028	Kenmore	23,741	3,227	10	3.9	59%	Below average
98042	Kent	50,216	7,063	21	3.9	59%	Below average
98040	Mercer Island	25,307	7,524	11	3.8	57%	Below average
98146	Seattle	28,573	2,223	11	3.7	56%	Below average
98102	Seattle	27,333	10,504	12	3.7	55%	Below average
98112	Seattle	23,921	6,614	10	3.7	55%	Below average
98070	Vashon	9,934	2,416	4	3.6	54%	Below average
98117	Seattle	35,711	4,293	13	3.4	51%	Below average
98119	Seattle	26,879	20,382	12	3.2	49%	Far below average
98065	Snoqualmie	15,944	5,392	6	3.2	48%	Far below average
98177	Seattle	21,090	1,698	7	3.2	48%	Far below average
98059	Renton	42,406	4,262	13	2.9	44%	Far below average
98106	Seattle	28,690	6,209	9	2.8	42%	Far below average
98126	Seattle	22,975	4,021	7	2.8	42%	Far below average
98168	Seattle	35,528	16,934	12	2.7	41%	Far below average
98092	Auburn	50,224	3,898	14	2.7	40%	Far below average
98053	Redmond	22,765	5,764	6	2.3	35%	Far below average
98077	Woodinville	14,109	1,191	3	2.0	31%	Far below average
98058	Renton	42,980	3,663	9	2.0	30%	Far below average
98178	Seattle	26,748	1,850	5	1.8	27%	Far below average
98075	Sammamish	25,498	2,019	4	1.5	23%	Far below average
98009	Bellevue	—	289	0–2	—	—	Not published
98010	Black Diamond	6,857	1,045	0–2	—	—	Not published
98013	Burton	—	2	0–2	—	—	Not published
98014	Carnation	8,264	1,148	0–2	—	—	Not published
98015	Bellevue	—	29	0–2	—	—	Not published
98024	Fall City	3,908	546	0–2	—	—	Not published
98025	Hobart	52	3	0–2	—	—	Not published
98035	Kent	—	236	0–2	—	—	Not published
98039	Medina	2,928	408	0–2	—	—	Not published
98041	Bothell	—	867	0–2	—	—	Not published
98050	Preston	108	1,014	0–2	—	—	Not published
98051	Ravensdale	3,442	461	0–2	—	—	Not published
98062	Seahurst	—	13	0–2	—	—	Not published
98063	Federal Way	—	229	0–2	—	—	Not published
98064	Kent	—	77	0–2	—	—	Not published
98071	Auburn	—	635	0–2	—	—	Not published
98073	Redmond	—	1,109	0–2	—	—	Not published
98083	Kirkland	—	235	0–2	—	—	Not published
98093	Federal Way	—	20	0–2	—	—	Not published
98111	Seattle	—	376	0–2	—	—	Not published
98113	Seattle	—	49	0–2	—	—	Not published
98114	Seattle	—	92	0–2	—	—	Not published
98124	Seattle	—	367	0–2	—	—	Not published
98127	Seattle	—	22	0–2	—	—	Not published
98138	Seattle	—	77	0–2	—	—	Not published
98139	Seattle	—	30	0–2	—	—	Not published
98145	Seattle	—	36	0–2	—	—	Not published
98154	Seattle	0	2,163	0–2	—	—	Not published
98158	Seattle	0	11,629	11	—	—	Not published
98160	Seattle	—	34	0–2	—	—	Not published
98161	Seattle	—	546	0–2	—	—	Not published
98164	Seattle	292	2,891	0–2	—	—	Not published
98165	Seattle	—	26	0–2	—	—	Not published
98170	Seattle	—	19	0–2	—	—	Not published
98174	Seattle	0	22	0–2	—	—	Not published
98175	Seattle	—	8	0–2	—	—	Not published
98181	Seattle	—	23	0–2	—	—	Not published
98191	Seattle	—	693	0–2	—	—	Not published
98194	Seattle	—	4	0–2	—	—	Not published
98195	Seattle	2,757	8,614	0–2	—	—	Not published
98288	Skykomish	169	477	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.

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Retail space for lease

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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 fast food

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.

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Methodology & sources

Establishments. U.S. Census ZIP Code Business Patterns (ZBP 2023), NAICS 722513 — limited-service restaurants. Counts establishments with paid employees. ZBP is published annually with a ~2-year lag.

Fresh county signal. BLS QCEW (quarterly) is newer than ZBP — 2026 Q1 shows 1,647 establishments county-wide for this industry. 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 (6.67 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 →

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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.