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Orange County, CA — Hotels Saturation

Name: Hotels density by ZIP code in Orange County, CA
Creator: BizGapMap

How many hotels 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. 135 ZIP codes analyzed.

Includes: Hotels · Motels · Motor inns. Counted together because official statistics use one 721110 code.

Measured density: Range spans bands — 0.89× the U.S. rate (between 0.89× and 1.01× 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. 82 ZIP cells in this county are withheld, 35 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 Orange County hotels — 89–101% of the U.S. rate

485 hotels are counted in Orange County — 1.2 per 10,000 people present (residents + daytime workers), 89% of the U.S. rate of 1.4.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 15% between 2015 and 2023 (384 → 440). 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 92802 (Anaheim), 92651 (Laguna Beach), 92672 (San Clemente) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 90631 (La Habra), 92707 (Santa Ana), 92708 (Fountain Valley).

Census County Business Patterns (2023) puts the county-wide count at 512 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: Orange County sits at 89% of the U.S. rate for hotels. 35 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 89% and 101% of the U.S. rate. Why. The highest measured density is in 92802 and 92651; the lowest measured density is in 90631 and 92707.

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

Hotels

485–649

published count; upper bound counts each withheld ZIP cell as 2 (82 cells) (2023)

Per 10,000 present

1.2

residents + daytime workers

U.S. average

1.4

per 10,000 present

County index

0.89×

vs. U.S.

Latest year (CBP)

512

2023 — $1.5B annual payroll

Residents

3,175,270

88 ZIPs with data

Workers

1,572,620

jobs located in county

Is the area growing?

Population

3,170,435

Census PEP, July 1 2024

Change since 2020

−0.5%

−15,826 people

Net migration 2024

+7,389

international +29,759, domestic −22,370

Jobs located here

1,697,322

LODES 2022, +0.7% since 2019

Orange County had an estimated 3,170,435 residents on July 1, 2024 — 0.5% fewer than in 2020 (−15,826). In the latest year it gained 15,872 people: births minus deaths +8,437, international migration +29,759, domestic migration −22,370. Components are published separately and may not sum exactly.

1,697,322 jobs were located in the county in 2022 (+0.7% since 2019), and 1,480,984 employed residents lived there (−1.0% 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

92617 Irvine

+39.7%

92618 Irvine

+35.0%

92782 Tustin

+30.3%

ZIP losing residents

2015–19 → 2020–24

Change

92610 Foothill Ranch

−21.4%

92701 Santa Ana

−13.1%

92691 Mission Viejo

−9.8%

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 hotels only combined with other traveler accommodation (NAICS 7211), so a hotels-and-motels-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 hotels 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 15% since 2015

Number of hotels in Orange 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.

384

2015

415

2018

410

2020

421

2021

434

2022

440

2023

Highest measured density

ZIP

vs. U.S. average

Index

92802 Anaheim

766%

92651 Laguna Beach

354%

92672 San Clemente

337%

92624 Capistrano Beach

281%

92868 Orange

239%

92660 Newport Beach

211%

92844 Garden Grove

197%

92618 Irvine

154%

92629 Dana Point

144%

92627 Costa Mesa

135%

92626 Costa Mesa

133%

90630 Cypress

132%

90620 Buena Park

125%

92804 Anaheim

124%

92840 Garden Grove

122%

Lowest measured density

ZIP

vs. U.S. average

Index

90631 La Habra

29%

92707 Santa Ana

31%

92708 Fountain Valley

31%

92703 Santa Ana

33%

92870 Placentia

37%

92833 Fullerton

39%

92807 Anaheim

43%

92649 Huntington Beach

49%

92886 Yorba Linda

54%

92701 Santa Ana

67%

92806 Anaheim

67%

92843 Garden Grove

69%

92647 Huntington Beach

70%

92692 Mission Viejo

72%

92683 Westminster

73%

Low measured density is not evidence of opportunity. A ZIP with few hotels 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	Hotels	Index
92614	Irvine	Employment hub	29,239	71,739	12	133%

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIP	Neighborhood	Residents	Workers	Hotels	Per 10k	Index	Status
92802	Anaheim	43,132	53,713	74	10.6	766%	Very high density
92651	Laguna Beach	23,557	10,107	14	4.9	354%	Very high density
92672	San Clemente	36,939	12,008	20	4.7	337%	Very high density
92624	Capistrano Beach	7,211	1,069	3	3.9	281%	Very high density
92868	Orange	26,380	50,123	17	3.3	239%	High density
92660	Newport Beach	34,890	60,414	19	2.9	211%	High density
92844	Garden Grove	23,188	5,028	7	2.7	197%	High density
92618	Irvine	66,126	130,760	28	2.1	154%	High density
92629	Dana Point	25,579	9,121	6	2.0	144%	Above average
92627	Costa Mesa	60,393	18,633	13	1.9	135%	Above average
92614	Irvine	29,239	71,739	12	1.8	133%	Above average
92626	Costa Mesa	50,708	61,637	15	1.8	133%	Above average
90630	Cypress	49,318	21,856	11	1.8	132%	Above average
90620	Buena Park	46,608	23,068	10	1.7	125%	Above average
92804	Anaheim	83,537	8,751	15	1.7	124%	Above average
92840	Garden Grove	54,534	9,589	10	1.7	122%	Above average
92648	Huntington Beach	45,827	17,805	9	1.6	119%	Above average
92630	Lake Forest	67,152	24,355	13	1.6	119%	Above average
92610	Foothill Ranch	12,867	11,543	3	1.6	117%	Above average
92832	Fullerton	27,298	11,170	5	1.5	110%	Above average
92780	Tustin	54,374	36,196	11	1.5	110%	Above average
92801	Anaheim	60,547	26,223	11	1.5	108%	Above average
92821	Brea	41,623	53,249	10	1.5	106%	Above average
92663	Newport Beach	21,368	14,263	4	1.4	102%	Above average
92612	Irvine	33,714	47,161	8	1.4	101%	Above average
92805	Anaheim	74,661	26,571	12	1.4	99%	Below average
90740	Seal Beach	24,254	11,439	4	1.3	97%	Below average
90720	Los Alamitos	23,805	15,195	4	1.3	92%	Below average
92602	Irvine	28,261	9,006	4	1.2	88%	Below average
90621	Buena Park	35,984	11,275	5	1.2	87%	Below average
92675	San Juan Capistrano	35,095	15,336	5	1.2	85%	Below average
92782	Tustin	30,073	9,254	4	1.2	83%	Below average
90680	Stanton	31,991	7,219	4	1.1	81%	Below average
92867	Orange	44,726	19,456	6	1.1	80%	Below average
92831	Fullerton	35,618	19,845	5	1.1	80%	Below average
92656	Aliso Viejo	52,229	24,852	7	1.1	78%	Below average
92705	Santa Ana	48,781	52,604	8	1.1	77%	Below average
92865	Orange	20,589	17,444	3	1.0	74%	Below average
92683	Westminster	89,833	18,171	10	1.0	73%	Below average
92692	Mission Viejo	47,022	6,539	5	1.0	72%	Below average
92647	Huntington Beach	59,047	26,672	7	1.0	70%	Below average
92843	Garden Grove	46,414	12,390	5	1.0	69%	Below average
92806	Anaheim	41,003	47,143	6	0.9	67%	Below average
92701	Santa Ana	47,818	13,166	5	0.9	67%	Below average
92886	Yorba Linda	49,704	8,621	4	0.7	54%	Below average
92649	Huntington Beach	35,346	17,452	3	0.7	49%	Far below average
92807	Anaheim	37,296	25,692	3	0.6	43%	Far below average
92833	Fullerton	51,842	9,105	3	0.5	39%	Far below average
92870	Placentia	52,826	12,959	3	0.5	37%	Far below average
92703	Santa Ana	62,447	5,941	3	0.5	33%	Far below average
92708	Fountain Valley	56,258	28,817	3	0.4	31%	Far below average
92707	Santa Ana	58,695	24,470	3	0.4	31%	Far below average
90631	La Habra	68,309	15,356	3	0.4	29%	Far below average
90622	Buena Park	—	893	0–2	—	—	Not published
90623	La Palma	15,545	6,336	0–2	—	—	Not published
90632	La Habra	—	63	0–2	—	—	Not published
90633	La Habra	—	88	0–2	—	—	Not published
90721	Los Alamitos	—	42	0–2	—	—	Not published
90742	Sunset Beach	405	403	0–2	—	—	Not published
90743	Surfside	468	48	0–2	—	—	Not published
92603	Irvine	18,387	2,938	0–2	—	—	Not published
92604	Irvine	26,491	7,418	0–2	—	—	Not published
92605	Huntington Beach	—	47	0–2	—	—	Not published
92606	Irvine	23,990	22,200	0–2	—	—	Not published
92607	Laguna Niguel	—	55	0–2	—	—	Not published
92609	El Toro	—	56	0–2	—	—	Not published
92615	Huntington Beach	—	182	0–2	—	—	Not published
92616	Irvine	—	64	0–2	—	—	Not published
92617	Irvine	24,017	9,220	0–2	—	—	Not published
92619	Irvine	—	464	0–2	—	—	Not published
92620	Irvine	61,631	7,841	0–2	—	—	Not published
92623	Irvine	—	92	0–2	—	—	Not published
92625	Corona Del Mar	12,294	4,050	0–2	—	—	Not published
92628	Costa Mesa	—	133	0–2	—	—	Not published
92637	Laguna Woods	17,289	2,030	0–2	—	—	Not published
92646	Huntington Beach	54,615	7,213	0–2	—	—	Not published
92652	Laguna Beach	—	154	0–2	—	—	Not published
92653	Laguna Hills	29,624	20,458	0–2	—	—	Not published
92654	Laguna Hills	—	62	0–2	—	—	Not published
92655	Midway City	8,026	426	0–2	—	—	Not published
92657	Newport Coast	9,920	3,420	0–2	—	—	Not published
92658	Newport Beach	—	97	0–2	—	—	Not published
92659	Newport Beach	—	13	0–2	—	—	Not published
92661	Newport Beach	3,079	968	0–2	—	—	Not published
92662	Newport Beach	2,294	676	0–2	—	—	Not published
92673	San Clemente	29,406	11,028	0–2	—	—	Not published
92674	San Clemente	—	79	0–2	—	—	Not published
92676	Silverado	2,085	168	0–2	—	—	Not published
92677	Laguna Niguel	64,139	15,621	0–2	—	—	Not published
92678	Trabuco Canyon	664	73	0–2	—	—	Not published
92679	Trabuco Canyon	30,818	2,512	0–2	—	—	Not published
92684	Westminster	—	4	0–2	—	—	Not published
92685	Westminster	—	19	0–2	—	—	Not published
92688	Rancho Santa Margarita	43,320	17,871	0–2	—	—	Not published
92690	Mission Viejo	—	41	0–2	—	—	Not published
92691	Mission Viejo	45,841	22,393	0–2	—	—	Not published
92693	San Juan Capistrano	—	168	0–2	—	—	Not published
92694	Ladera Ranch	35,764	4,795	0–2	—	—	Not published
92697	Irvine	0	236	0–2	—	—	Not published
92698	Aliso Viejo	—	15	0–2	—	—	Not published
92702	Santa Ana	—	133	0–2	—	—	Not published
92704	Santa Ana	82,120	29,907	0–2	—	—	Not published
92706	Santa Ana	37,175	6,316	0–2	—	—	Not published
92711	Santa Ana	—	71	0–2	—	—	Not published
92728	Fountain Valley	—	119	0–2	—	—	Not published
92781	Tustin	—	107	0–2	—	—	Not published
92799	Santa Ana	—	15	0–2	—	—	Not published
92803	Anaheim	—	654	0–2	—	—	Not published
92808	Anaheim	21,539	5,987	0–2	—	—	Not published
92809	Anaheim	—	13	0–2	—	—	Not published
92811	Atwood	—	12	0–2	—	—	Not published
92812	Anaheim	—	35	0–2	—	—	Not published
92816	Anaheim	—	5	0–2	—	—	Not published
92817	Anaheim	—	23	0–2	—	—	Not published
92822	Brea	—	52	0–2	—	—	Not published
92823	Brea	5,846	5,290	0–2	—	—	Not published
92825	Anaheim	—	13	0–2	—	—	Not published
92834	Fullerton	—	745	0–2	—	—	Not published
92835	Fullerton	26,005	12,791	0–2	—	—	Not published
92836	Fullerton	—	61	0–2	—	—	Not published
92837	Fullerton	—	134	0–2	—	—	Not published
92838	Fullerton	—	43	0–2	—	—	Not published
92841	Garden Grove	33,219	13,789	0–2	—	—	Not published
92842	Garden Grove	—	13	0–2	—	—	Not published
92845	Garden Grove	16,143	2,981	0–2	—	—	Not published
92846	Garden Grove	—	25	0–2	—	—	Not published
92856	Orange	—	22	0–2	—	—	Not published
92859	Orange	—	53	0–2	—	—	Not published
92861	Villa Park	5,748	1,190	0–2	—	—	Not published
92863	Orange	—	64	0–2	—	—	Not published
92866	Orange	15,331	9,454	0–2	—	—	Not published
92869	Orange	36,271	5,428	0–2	—	—	Not published
92871	Placentia	—	46	0–2	—	—	Not published
92885	Yorba Linda	—	116	0–2	—	—	Not published
92887	Yorba Linda	19,725	7,810	0–2	—	—	Not published

Scroll the table sideways to see all columns.

Find an actual space in Irvine

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

LoopNet

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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.

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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 721110 — hotels (except casino hotels) and motels. 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: 512 establishments and $1.5B 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 (1.38 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.