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Santa Clara County, CA — Restaurants Saturation

Name: Restaurants density by ZIP code in Santa Clara County, CA
Creator: BizGapMap

How many restaurants 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. 92 ZIP codes analyzed.

Includes: Sit-down restaurants with table service. Counted together because official statistics use one 722511 code.

Measured density: Above average — 1.06× the U.S. rate (between 1.06× and 1.07× 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, 7 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

In line with the U.S. rate Santa Clara County restaurants — 106–107% of the U.S. rate

1,699 restaurants are counted in Santa Clara County — 6.7 per 10,000 people present (residents + daytime workers), 106% of the U.S. rate of 6.4.

On the comparable ZIP set (ZIPs with a published count in every year), the total has stayed roughly flat between 2015 and 2023 (1,677 → 1,689).

Measured supply density is highest in 95030 (Los Gatos), 94041 (Mountain View), 94301 (Palo Alto) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 95135 (San Jose), 95136 (San Jose), 94303 (Palo Alto).

BLS QCEW puts the latest county-wide count (2026 Q1) at 1,695 establishments, the freshest available signal.

Measured density: Santa Clara County sits at 106% of the U.S. rate for restaurants. 7 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 106% and 107% of the U.S. rate. Why. The highest measured density is in 95030 and 94041; the lowest measured density is in 95135 and 95136.

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

Restaurants

1,699–1,779

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

Per 10,000 present

6.7

residents + daytime workers

U.S. average

6.4

per 10,000 present

County index

1.06×

vs. U.S.

Latest quarter (QCEW)

1,695

2026 Q1 — county total

Residents

1,935,981

59 ZIPs with data

Workers

1,162,159

jobs located in county

Is the area growing?

Population

1,926,325

Census PEP, July 1 2024

Change since 2020

+0.1%

+1,523 people

Net migration 2024

+22,610

international +44,644, domestic −22,034

Jobs located here

1,123,607

LODES 2022, +0.7% since 2019

Santa Clara County had an estimated 1,926,325 residents on July 1, 2024 — 0.1% more than in 2020 (+1,523). In the latest year it gained 29,188 people: births minus deaths +6,526, international migration +44,644, domestic migration −22,034. Components are published separately and may not sum exactly.

1,123,607 jobs were located in the county in 2022 (+0.7% since 2019), and 953,149 employed residents lived there (−0.7% 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

94305 Stanford

+12.9%

ZIP losing residents

2015–19 → 2020–24

Change

95116 San Jose

−13.9%

95127 San Jose

−11.2%

95128 San Jose

−10.3%

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

226

no paid employees (2024)

Receipts

$21.0M

published gross receipts

Receipts per business

$93K

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 restaurants 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 1% since 2015

Number of restaurants in Santa Clara 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.

1,677

2015

1,769

2018

1,705

2020

1,654

2021

1,713

2022

1,689

2023

Highest measured density

ZIP

vs. U.S. average

Index

95030 Los Gatos

355%

94041 Mountain View

287%

94301 Palo Alto

285%

95129 San Jose

233%

94022 Los Altos

219%

94306 Palo Alto

206%

95035 Milpitas

191%

95122 San Jose

187%

95008 Campbell

172%

95051 Santa Clara

161%

95050 Santa Clara

153%

95014 Cupertino

145%

95128 San Jose

139%

94087 Sunnyvale

132%

95139 San Jose

129%

Lowest measured density

ZIP

vs. U.S. average

Index

95135 San Jose

22%

95136 San Jose

25%

94303 Palo Alto

25%

94024 Los Altos

25%

95117 San Jose

27%

95119 San Jose

34%

95134 San Jose

37%

95138 San Jose

38%

95148 San Jose

40%

94089 Sunnyvale

49%

95132 San Jose

56%

95130 San Jose

56%

95127 San Jose

59%

95120 San Jose

60%

95111 San Jose

63%

Low measured density is not evidence of opportunity. A ZIP with few restaurants 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	Restaurants	Index
95113	San Jose	Employment hub	2,640	22,385	52	588%
95110	San Jose	Employment hub	19,963	44,547	31	115%
95054	Santa Clara	Employment hub	25,704	99,768	27	56%
94043	Mountain View	Employment hub	33,176	69,408	15	35%
94304	Palo Alto	Destination	5,000	56,576	6	28%
94305	Stanford	Employment hub	18,509	54,779	0–2	—
95002	Alviso	Employment hub	1,542	7,483	0–2	—

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIP	Neighborhood	Residents	Workers	Restaurants	Per 10k	Index	Status
95113	San Jose	2,640	22,385	52	37.6	588%	Very high density
95030	Los Gatos	13,151	6,283	37	22.7	355%	Very high density
94041	Mountain View	16,050	15,922	44	18.3	287%	Very high density
94301	Palo Alto	17,508	25,414	55	18.2	285%	Very high density
95129	San Jose	41,321	11,357	70	14.9	233%	High density
94022	Los Altos	20,027	8,622	34	14.0	219%	High density
94306	Palo Alto	27,183	16,926	47	13.2	206%	High density
95035	Milpitas	78,810	48,580	126	12.2	191%	High density
95122	San Jose	50,775	10,496	67	12.0	187%	High density
95008	Campbell	48,333	29,159	69	11.0	172%	High density
95051	Santa Clara	62,054	27,577	78	10.3	161%	High density
95050	Santa Clara	39,834	28,753	53	9.8	153%	High density
95014	Cupertino	60,932	59,243	84	9.3	145%	Above average
95128	San Jose	33,165	30,472	43	8.9	139%	Above average
94087	Sunnyvale	57,767	10,258	53	8.4	132%	Above average
95139	San Jose	7,035	507	6	8.2	129%	Above average
95070	Saratoga	31,417	5,888	27	7.9	123%	Above average
95020	Gilroy	67,181	19,193	58	7.6	118%	Above average
95121	San Jose	36,463	4,199	29	7.5	118%	Above average
95112	San Jose	57,373	40,408	57	7.3	115%	Above average
95110	San Jose	19,963	44,547	31	7.3	115%	Above average
95125	San Jose	54,419	17,202	45	7.1	112%	Above average
95037	Morgan Hill	51,943	18,080	41	6.7	105%	Above average
95118	San Jose	32,015	8,040	24	6.7	104%	Above average
94085	Sunnyvale	24,024	21,768	23	6.6	103%	Above average
95123	San Jose	69,677	11,348	47	6.2	98%	Below average
94040	Mountain View	35,632	17,272	26	5.9	92%	Below average
94086	Sunnyvale	49,746	29,429	37	5.7	90%	Below average
95124	San Jose	52,096	10,965	28	4.9	76%	Below average
95032	Los Gatos	27,313	12,922	16	4.7	74%	Below average
95131	San Jose	31,179	53,034	27	4.7	73%	Below average
95116	San Jose	48,042	7,103	24	4.7	73%	Below average
95133	San Jose	29,710	8,301	15	4.4	69%	Below average
95126	San Jose	38,327	12,398	18	4.0	63%	Below average
95111	San Jose	57,202	5,240	24	4.0	63%	Below average
95120	San Jose	36,967	3,838	15	3.9	60%	Below average
95127	San Jose	58,825	5,115	23	3.7	59%	Below average
95054	Santa Clara	25,704	99,768	27	3.6	56%	Below average
95130	San Jose	13,511	1,039	5	3.6	56%	Below average
95132	San Jose	40,334	3,591	15	3.6	56%	Below average
94089	Sunnyvale	22,699	44,041	14	3.1	49%	Far below average
95148	San Jose	44,995	3,371	12	2.6	40%	Far below average
95138	San Jose	18,960	11,519	6	2.4	38%	Far below average
95134	San Jose	30,471	50,098	13	2.3	37%	Far below average
94043	Mountain View	33,176	69,408	15	2.2	35%	Far below average
95119	San Jose	10,841	15,073	4	2.2	34%	Far below average
94304	Palo Alto	5,000	56,576	6	1.8	28%	Far below average
95117	San Jose	26,953	3,322	5	1.7	27%	Far below average
94024	Los Altos	23,051	3,126	4	1.6	25%	Far below average
94303	Palo Alto	46,879	17,648	9	1.6	25%	Far below average
95136	San Jose	48,056	5,827	8	1.6	25%	Far below average
95135	San Jose	20,129	1,665	3	1.4	22%	Far below average
94023	Los Altos	—	42	0–2	—	—	Not published
94035	Mountain View	—	2,042	0–2	—	—	Not published
94039	Mountain View	—	320	0–2	—	—	Not published
94042	Mountain View	—	61	0–2	—	—	Not published
94088	Sunnyvale	—	576	0–2	—	—	Not published
94302	Palo Alto	—	50	0–2	—	—	Not published
94305	Stanford	18,509	54,779	0–2	—	—	Not published
94309	Palo Alto	—	93	0–2	—	—	Not published
95002	Alviso	1,542	7,483	0–2	—	—	Not published
95009	Campbell	—	39	0–2	—	—	Not published
95011	Campbell	—	5	0–2	—	—	Not published
95013	Coyote	57	64	0–2	—	—	Not published
95015	Cupertino	—	262	0–2	—	—	Not published
95021	Gilroy	—	118	0–2	—	—	Not published
95031	Los Gatos	—	358	0–2	—	—	Not published
95033	Los Gatos	9,600	623	0–2	—	—	Not published
95036	Milpitas	—	28	0–2	—	—	Not published
95038	Morgan Hill	—	207	0–2	—	—	Not published
95044	Redwood Estates	—	14	0–2	—	—	Not published
95046	San Martin	6,324	1,344	0–2	—	—	Not published
95052	Santa Clara	—	5,316	0–2	—	—	Not published
95053	Santa Clara	3,049	3,482	0–2	—	—	Not published
95055	Santa Clara	—	24	0–2	—	—	Not published
95056	Santa Clara	—	23	0–2	—	—	Not published
95101	San Jose	—	185	0–2	—	—	Not published
95108	San Jose	—	12	0–2	—	—	Not published
95140	Mount Hamilton	42	68	0–2	—	—	Not published
95141	San Jose	—	1,824	0–2	—	—	Not published
95150	San Jose	—	32	0–2	—	—	Not published
95151	San Jose	—	20	0–2	—	—	Not published
95153	San Jose	—	334	0–2	—	—	Not published
95154	San Jose	—	23	0–2	—	—	Not published
95155	San Jose	—	21	0–2	—	—	Not published
95158	San Jose	—	86	0–2	—	—	Not published
95159	San Jose	—	36	0–2	—	—	Not published
95160	San Jose	—	89	0–2	—	—	Not published
95161	San Jose	—	5	0–2	—	—	Not published
95164	San Jose	—	16	0–2	—	—	Not published
95170	San Jose	—	25	0–2	—	—	Not published
95192	San Jose	—	1,067	0–2	—	—	Not published

Scroll the table sideways to see all columns.

Find an actual space in Santa Clara

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 Santa Clara retail space →

Crexi

Free listings + market data

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CityFeet

Retail space for lease

Browse Santa Clara 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 Santa Clara County and restaurants

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 722511 — full-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 1,695 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 (6.39 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.