Home / Car washes / California / Riverside County, CA

Riverside County, CA — Car washes Saturation

Name: Car washes density by ZIP code in Riverside County, CA
Creator: BizGapMap

How many car washes 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. 96 ZIP codes analyzed.

Includes: Car wash tunnels & bays · Self-serve & automatic washes · Detailing (wash-attached). Counted together because official statistics use one 811192 code.

Measured density: Range spans bands — 0.84× the U.S. rate (between 0.84× and 1.48× 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. 70 ZIP cells in this county are withheld, 44 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 Riverside County car washes — 84–148% of the U.S. rate

116 car washes are counted in Riverside County — 0.4 per 10,000 people present (residents + daytime workers), 84% of the U.S. rate of 0.5.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 29% between 2015 and 2023 (38 → 49). 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 92211 (Palm Desert), 92264 (Palm Springs), 92508 (Riverside) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 92592 (Temecula), 92562 (Murrieta), 92223 (Beaumont).

Census County Business Patterns (2023) puts the county-wide count at 147 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: Riverside County sits at 84% of the U.S. rate for car washes. 44 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 84% and 148% of the U.S. rate. Why. The highest measured density is in 92211 and 92264; the lowest measured density is in 92592 and 92562.

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

Car washes

116–256

published count; upper bound counts each withheld ZIP cell as 2 (70 cells) (2023)

Per 10,000 present

0.4

residents + daytime workers

U.S. average

0.5

per 10,000 present

County index

0.84×

vs. U.S.

Latest year (CBP)

147

2023 — $45M annual payroll

Residents

2,482,806

70 ZIPs with data

Workers

674,999

jobs located in county

Is the area growing?

Population

2,529,933

Census PEP, July 1 2024

Change since 2020

+4.3%

+105,270 people

Net migration 2024

+18,546

international +11,037, domestic +7,509

Jobs located here

799,021

LODES 2022, +7.1% since 2019

Riverside County had an estimated 2,529,933 residents on July 1, 2024 — 4.3% more than in 2020 (+105,270). In the latest year it gained 26,384 people: births minus deaths +7,801, international migration +11,037, domestic migration +7,509. Components are published separately and may not sum exactly.

799,021 jobs were located in the county in 2022 (+7.1% since 2019), and 1,035,761 employed residents lived there (+7.6% 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

92549 Idyllwild

+59.6%

92582 San Jacinto

+35.6%

92585 Menifee

+34.8%

ZIP losing residents

2015–19 → 2020–24

Change

92260 Palm Desert

−11.9%

92225 Blythe

−9.5%

92503 Riverside

−7.5%

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 only a broader group that also includes oil-change and other auto service shops, so a car-wash-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.

Basemap:

Under 50% 50–100% 100–150% 150–250% 250%+ 0–2 (not published) / no data ZIP total (dot size)

Map data © OpenStreetMap contributors, tiles by OpenFreeMap.

White dots are ZIP totals from the official Census count — the bigger the dot, the more car washes in that ZIP.

Market trend — up 29% since 2015

Number of car washes in Riverside 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.

2015

2018

2020

2021

2022

2023

Highest measured density

ZIP

vs. U.S. average

Index

92211 Palm Desert

463%

92264 Palm Springs

263%

92508 Riverside

249%

92504 Riverside

216%

92532 Lake Elsinore

206%

92591 Temecula

200%

92860 Norco

199%

92553 Moreno Valley

199%

92883 Corona

186%

92234 Cathedral City

181%

92571 Perris

173%

92503 Riverside

166%

92882 Corona

163%

92260 Palm Desert

151%

92543 Hemet

142%

Lowest measured density

ZIP

vs. U.S. average

Index

92592 Temecula

70%

92562 Murrieta

81%

92223 Beaumont

89%

92879 Corona

95%

92570 Perris

99%

92505 Riverside

101%

92563 Murrieta

117%

92236 Coachella

132%

92253 La Quinta

134%

92509 Jurupa Valley

139%

92543 Hemet

142%

92260 Palm Desert

151%

92882 Corona

163%

92503 Riverside

166%

92571 Perris

173%

Low measured density is not evidence of opportunity. A ZIP with few car washes 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	Car washes	Index
92590	Temecula	Employment hub	5,089	22,770	4	496%
92230	Cabazon	Employment hub	1,887	4,721	0–2	—
92518	March Air Reserve Base	Employment hub	1,260	7,735	0–2	—

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIP	Neighborhood	Residents	Workers	Car washes	Per 10k	Index	Status
92590	Temecula	5,089	22,770	4	2.4	496%	Very high density
92211	Palm Desert	28,092	14,395	8	2.3	463%	Very high density
92264	Palm Springs	19,899	6,792	3	1.3	263%	Very high density
92508	Riverside	36,909	8,172	5	1.2	249%	High density
92504	Riverside	57,132	18,144	7	1.1	216%	High density
92532	Lake Elsinore	28,055	3,451	3	1.0	206%	High density
92591	Temecula	41,955	18,073	5	1.0	200%	High density
92860	Norco	25,109	11,256	3	1.0	199%	High density
92553	Moreno Valley	74,640	15,017	8	1.0	199%	High density
92883	Corona	39,990	7,929	4	0.9	186%	High density
92234	Cathedral City	52,267	8,685	5	0.9	181%	High density
92571	Perris	60,096	21,347	6	0.8	173%	High density
92503	Riverside	88,395	20,783	8	0.8	166%	High density
92882	Corona	68,715	13,420	6	0.8	163%	High density
92260	Palm Desert	30,523	20,177	3	0.7	151%	High density
92543	Hemet	39,937	6,464	3	0.7	142%	Above average
92509	Jurupa Valley	81,182	14,455	6	0.7	139%	Above average
92253	La Quinta	38,666	13,956	3	0.7	134%	Above average
92236	Coachella	43,642	5,781	3	0.6	132%	Above average
92563	Murrieta	80,379	14,262	5	0.6	117%	Above average
92505	Riverside	53,419	14,275	3	0.5	101%	Above average
92570	Perris	58,082	8,005	3	0.5	99%	Below average
92879	Corona	49,317	30,373	3	0.5	95%	Below average
92223	Beaumont	63,833	9,596	3	0.4	89%	Below average
92562	Murrieta	64,781	21,022	3	0.4	81%	Below average
92592	Temecula	80,035	16,196	3	0.3	70%	Below average
91752	Mira Loma	37,983	30,704	0–2	—	—	Not published
92201	Indio	65,825	13,275	0–2	—	—	Not published
92202	Indio	—	147	0–2	—	—	Not published
92203	Indio	34,735	7,490	0–2	—	—	Not published
92210	Indian Wells	4,871	4,872	0–2	—	—	Not published
92220	Banning	33,755	4,989	0–2	—	—	Not published
92225	Blythe	20,319	2,240	0–2	—	—	Not published
92226	Blythe	—	72	0–2	—	—	Not published
92230	Cabazon	1,887	4,721	0–2	—	—	Not published
92235	Cathedral City	—	173	0–2	—	—	Not published
92239	Desert Center	144	60	0–2	—	—	Not published
92240	Desert Hot Springs	41,615	3,179	0–2	—	—	Not published
92241	Desert Hot Springs	8,884	513	0–2	—	—	Not published
92248	La Quinta	—	160	0–2	—	—	Not published
92254	Mecca	11,333	824	0–2	—	—	Not published
92255	Palm Desert	—	27	0–2	—	—	Not published
92258	North Palm Springs	474	514	0–2	—	—	Not published
92261	Palm Desert	—	195	0–2	—	—	Not published
92262	Palm Springs	26,887	20,468	0–2	—	—	Not published
92263	Palm Springs	—	282	0–2	—	—	Not published
92270	Rancho Mirage	17,563	16,505	0–2	—	—	Not published
92274	Thermal	18,167	1,627	0–2	—	—	Not published
92276	Thousand Palms	7,720	3,400	0–2	—	—	Not published
92282	Whitewater	1,419	115	0–2	—	—	Not published
92320	Calimesa	10,902	2,887	0–2	—	—	Not published
92501	Riverside	22,934	14,016	0–2	—	—	Not published
92502	Riverside	—	201	0–2	—	—	Not published
92506	Riverside	45,086	14,413	0–2	—	—	Not published
92507	Riverside	64,015	36,439	0–2	—	—	Not published
92513	Riverside	—	11	0–2	—	—	Not published
92514	Riverside	—	9	0–2	—	—	Not published
92516	Riverside	—	29	0–2	—	—	Not published
92517	Riverside	—	62	0–2	—	—	Not published
92518	March Air Reserve Base	1,260	7,735	0–2	—	—	Not published
92519	Riverside	—	64	0–2	—	—	Not published
92521	Riverside	0	106	0–2	—	—	Not published
92530	Lake Elsinore	61,768	10,372	0–2	—	—	Not published
92531	Lake Elsinore	—	17	0–2	—	—	Not published
92536	Aguanga	2,970	144	0–2	—	—	Not published
92539	Anza	3,774	384	0–2	—	—	Not published
92544	Hemet	51,751	3,384	0–2	—	—	Not published
92545	Hemet	45,982	8,142	0–2	—	—	Not published
92546	Hemet	—	148	0–2	—	—	Not published
92548	Homeland	8,312	187	0–2	—	—	Not published
92549	Idyllwild	4,016	1,146	0–2	—	—	Not published
92551	Moreno Valley	37,425	22,245	0–2	—	—	Not published
92552	Moreno Valley	—	70	0–2	—	—	Not published
92554	Moreno Valley	—	13	0–2	—	—	Not published
92555	Moreno Valley	45,978	10,663	0–2	—	—	Not published
92556	Moreno Valley	—	70	0–2	—	—	Not published
92557	Moreno Valley	54,061	3,639	0–2	—	—	Not published
92561	Mountain Center	2,157	180	0–2	—	—	Not published
92564	Murrieta	—	200	0–2	—	—	Not published
92567	Nuevo	10,867	483	0–2	—	—	Not published
92572	Perris	—	99	0–2	—	—	Not published
92581	San Jacinto	—	1,526	0–2	—	—	Not published
92582	San Jacinto	23,356	1,459	0–2	—	—	Not published
92583	San Jacinto	33,778	3,892	0–2	—	—	Not published
92584	Menifee	61,366	7,863	0–2	—	—	Not published
92585	Menifee	29,534	2,452	0–2	—	—	Not published
92586	Menifee	20,767	3,300	0–2	—	—	Not published
92587	Menifee	18,218	1,473	0–2	—	—	Not published
92589	Temecula	—	338	0–2	—	—	Not published
92593	Temecula	—	64	0–2	—	—	Not published
92595	Wildomar	34,438	6,332	0–2	—	—	Not published
92596	Winchester	38,981	2,167	0–2	—	—	Not published
92877	Corona	—	295	0–2	—	—	Not published
92878	Corona	—	6,127	0–2	—	—	Not published
92880	Corona	75,043	15,562	0–2	—	—	Not published
92881	Corona	30,347	13,748	0–2	—	—	Not published

Scroll the table sideways to see all columns.

Find an actual space in Riverside

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 Riverside retail space →

Crexi

Free listings + market data

Browse Riverside retail space →

CityFeet

Retail space for lease

Browse Riverside 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 Riverside County and car washes

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 811192 — car washes. 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: 147 establishments and $45M 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 (0.49 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.