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King County, WA — Bars Saturation

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

How many bars 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: Bars & taverns · Pubs & brewpubs (drinking-focused) · Cocktail & wine bars · Taprooms. Counted together because official statistics use one 722410 code.

Measured density: Above average — 1.02× the U.S. rate (between 1.02× and 1.33× 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. 77 ZIP cells in this county are withheld, 46 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 bars — 102–133% of the U.S. rate

303 bars are counted in King County — 1.0 per 10,000 people present (residents + daytime workers), 102% of the U.S. rate of 1.0.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 12% between 2015 and 2023 (240 → 268). 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 98107 (Seattle), 98122 (Seattle), 98103 (Seattle) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 98034 (Kirkland), 98133 (Seattle), 98004 (Bellevue).

Census County Business Patterns (2023) puts the county-wide count at 342 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 102% of the U.S. rate for bars. 46 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 102% and 133% of the U.S. rate. Why. The highest measured density is in 98107 and 98122; the lowest measured density is in 98034 and 98133.

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

Bars

303–457

published count; upper bound counts each withheld ZIP cell as 2 (77 cells) (2023)

Per 10,000 present

1.0

residents + daytime workers

U.S. average

1.0

per 10,000 present

County index

1.02×

vs. U.S.

Latest year (CBP)

342

2023 — $145M 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 (no paid employees)

Nonemployer businesses

no paid employees (2024)

Receipts

$5.3M

published gross receipts

Receipts per business

$59K

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 bars 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 12% since 2015

Number of bars 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.

240

2015

279

2018

259

2020

257

2021

269

2022

268

2023

Highest measured density

ZIP

vs. U.S. average

Index

98107 Seattle

603%

98122 Seattle

539%

98103 Seattle

408%

98116 Seattle

373%

98121 Seattle

309%

98072 Woodinville

303%

98102 Seattle

274%

98022 Enumclaw

269%

98108 Seattle

246%

98112 Seattle

218%

98106 Seattle

218%

98117 Seattle

210%

98105 Seattle

197%

98125 Seattle

181%

98109 Seattle

174%

Lowest measured density

ZIP

vs. U.S. average

Index

98034 Kirkland

47%

98133 Seattle

49%

98004 Bellevue

51%

98118 Seattle

54%

98188 Seattle

60%

98003 Federal Way

63%

98052 Redmond

67%

98033 Kirkland

73%

98027 Issaquah

74%

98119 Seattle

80%

98011 Bothell

83%

98030 Kent

97%

98032 Kent

98%

98155 Seattle

102%

98038 Maple Valley

123%

Low measured density is not evidence of opportunity. A ZIP with few bars 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	Bars	Index
98101	Seattle	Employment hub	17,153	96,469	16	243%
98104	Seattle	Employment hub	16,542	63,710	9	184%
98057	Renton	Employment hub	12,705	41,810	5	147%
98134	Seattle	Destination	645	39,386	3	146%
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 = bars per 10,000 people present (residents + 0.5×workers) ÷ the U.S. average. 100% = exactly average.

ZIP	Neighborhood	Residents	Workers	Bars	Per 10k	Index	Status
98107	Seattle	28,776	14,757	22	6.1	603%	Very high density
98122	Seattle	43,234	27,645	31	5.4	539%	Very high density
98103	Seattle	52,671	25,838	27	4.1	408%	Very high density
98116	Seattle	28,711	6,402	12	3.8	373%	Very high density
98121	Seattle	21,166	34,570	12	3.1	309%	Very high density
98072	Woodinville	24,446	23,071	11	3.1	303%	Very high density
98102	Seattle	27,333	10,504	9	2.8	274%	Very high density
98022	Enumclaw	22,418	6,856	7	2.7	269%	Very high density
98108	Seattle	25,529	29,689	10	2.5	246%	High density
98101	Seattle	17,153	96,469	16	2.4	243%	High density
98112	Seattle	23,921	6,614	6	2.2	218%	High density
98106	Seattle	28,690	6,209	7	2.2	218%	High density
98117	Seattle	35,711	4,293	8	2.1	210%	High density
98105	Seattle	49,767	21,275	12	2.0	197%	High density
98104	Seattle	16,542	63,710	9	1.9	184%	High density
98125	Seattle	44,520	9,397	9	1.8	181%	High density
98109	Seattle	34,328	68,378	12	1.8	174%	High density
98166	Seattle	22,082	6,025	4	1.6	158%	High density
98115	Seattle	54,349	11,038	9	1.5	149%	Above average
98057	Renton	12,705	41,810	5	1.5	147%	Above average
98134	Seattle	645	39,386	3	1.5	146%	Above average
98038	Maple Valley	37,324	6,029	5	1.2	123%	Above average
98155	Seattle	36,511	4,619	4	1.0	102%	Above average
98032	Kent	40,862	59,428	7	1.0	98%	Below average
98030	Kent	38,523	4,672	4	1.0	97%	Below average
98011	Bothell	28,963	13,644	3	0.8	83%	Below average
98119	Seattle	26,879	20,382	3	0.8	80%	Below average
98027	Issaquah	28,955	22,093	3	0.7	74%	Below average
98033	Kirkland	40,982	26,821	4	0.7	73%	Below average
98052	Redmond	80,717	106,441	9	0.7	67%	Below average
98003	Federal Way	51,619	21,771	4	0.6	63%	Below average
98188	Seattle	27,311	43,850	3	0.6	60%	Below average
98118	Seattle	50,500	8,751	3	0.5	54%	Below average
98004	Bellevue	39,897	74,258	4	0.5	51%	Below average
98133	Seattle	53,249	15,774	3	0.5	49%	Far below average
98034	Kirkland	52,531	22,274	3	0.5	47%	Far below average
98001	Auburn	37,460	29,403	0–2	—	—	Not published
98002	Auburn	37,509	15,645	0–2	—	—	Not published
98005	Bellevue	21,846	27,375	0–2	—	—	Not published
98006	Bellevue	40,009	15,660	0–2	—	—	Not published
98007	Bellevue	27,692	15,738	0–2	—	—	Not published
98008	Bellevue	27,242	6,622	0–2	—	—	Not published
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
98019	Duvall	12,242	1,647	0–2	—	—	Not published
98023	Federal Way	50,448	3,990	0–2	—	—	Not published
98024	Fall City	3,908	546	0–2	—	—	Not published
98025	Hobart	52	3	0–2	—	—	Not published
98028	Kenmore	23,741	3,227	0–2	—	—	Not published
98029	Issaquah	30,586	8,592	0–2	—	—	Not published
98031	Kent	40,094	8,748	0–2	—	—	Not published
98035	Kent	—	236	0–2	—	—	Not published
98039	Medina	2,928	408	0–2	—	—	Not published
98040	Mercer Island	25,307	7,524	0–2	—	—	Not published
98041	Bothell	—	867	0–2	—	—	Not published
98042	Kent	50,216	7,063	0–2	—	—	Not published
98045	North Bend	15,289	3,325	0–2	—	—	Not published
98047	Pacific	6,817	4,522	0–2	—	—	Not published
98050	Preston	108	1,014	0–2	—	—	Not published
98051	Ravensdale	3,442	461	0–2	—	—	Not published
98053	Redmond	22,765	5,764	0–2	—	—	Not published
98055	Renton	24,660	23,311	0–2	—	—	Not published
98056	Renton	35,849	4,257	0–2	—	—	Not published
98058	Renton	42,980	3,663	0–2	—	—	Not published
98059	Renton	42,406	4,262	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
98065	Snoqualmie	15,944	5,392	0–2	—	—	Not published
98070	Vashon	9,934	2,416	0–2	—	—	Not published
98071	Auburn	—	635	0–2	—	—	Not published
98073	Redmond	—	1,109	0–2	—	—	Not published
98074	Sammamish	30,761	2,868	0–2	—	—	Not published
98075	Sammamish	25,498	2,019	0–2	—	—	Not published
98077	Woodinville	14,109	1,191	0–2	—	—	Not published
98083	Kirkland	—	235	0–2	—	—	Not published
98092	Auburn	50,224	3,898	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
98126	Seattle	22,975	4,021	0–2	—	—	Not published
98127	Seattle	—	22	0–2	—	—	Not published
98136	Seattle	17,252	2,026	0–2	—	—	Not published
98138	Seattle	—	77	0–2	—	—	Not published
98139	Seattle	—	30	0–2	—	—	Not published
98144	Seattle	33,787	11,888	0–2	—	—	Not published
98145	Seattle	—	36	0–2	—	—	Not published
98146	Seattle	28,573	2,223	0–2	—	—	Not published
98148	Seattle	9,715	3,818	0–2	—	—	Not published
98154	Seattle	0	2,163	0–2	—	—	Not published
98158	Seattle	0	11,629	0–2	—	—	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
98168	Seattle	35,528	16,934	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
98177	Seattle	21,090	1,698	0–2	—	—	Not published
98178	Seattle	26,748	1,850	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
98198	Seattle	40,463	6,976	0–2	—	—	Not published
98199	Seattle	22,468	4,960	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.

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 bars

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 722410 — drinking places (alcoholic beverages). 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: 342 establishments and $145M 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 (1.01 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.