Home / Limited-service restaurants (fast food) / California / Riverside County, CA

Riverside County, CA — Fast food Saturation

Name: Fast food density by ZIP code in Riverside County, CA
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. 96 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: 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. 36 ZIP cells in this county are withheld, 12 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 Riverside County fast food — 106–107% of the U.S. rate

2,011 fast food are counted in Riverside County — 7.1 per 10,000 people present (residents + daytime workers), 106% of the U.S. rate of 6.7.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 36% between 2015 and 2023 (1,459 → 1,988). 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 92860 (Norco), 92591 (Temecula), 92881 (Corona) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 92587 (Menifee), 92585 (Menifee), 92586 (Menifee).

BLS QCEW puts the latest county-wide count (2026 Q1) at 2,030 establishments, the freshest available signal.

Measured density: Riverside County sits at 106% of the U.S. rate for fast food. 12 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 92860 and 92591; the lowest measured density is in 92587 and 92585.

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

2,011–2,083

published count; upper bound counts each withheld ZIP cell as 2 (36 cells) (2023)

Per 10,000 present

7.1

residents + daytime workers

U.S. average

6.7

per 10,000 present

County index

1.06×

vs. U.S.

Latest quarter (QCEW)

2,030

2026 Q1 — county total

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 (no paid employees)

Nonemployer businesses

360

no paid employees (2024)

Receipts

$20.4M

published gross receipts

Receipts per business

$57K

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 36% since 2015

Number of fast food 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.

1,459

2015

1,706

2018

1,701

2020

1,787

2021

1,915

2022

1,988

2023

Highest measured density

ZIP

vs. U.S. average

Index

92860 Norco

273%

92591 Temecula

209%

92881 Corona

197%

92320 Calimesa

194%

92501 Riverside

185%

92260 Palm Desert

173%

92553 Moreno Valley

170%

92264 Palm Springs

154%

92508 Riverside

146%

92562 Murrieta

145%

92507 Riverside

142%

92262 Palm Springs

133%

92879 Corona

132%

92545 Hemet

129%

92583 San Jacinto

126%

Lowest measured density

ZIP

vs. U.S. average

Index

92587 Menifee

32%

92585 Menifee

39%

92586 Menifee

47%

92551 Moreno Valley

49%

92582 San Jacinto

50%

92883 Corona

51%

92240 Desert Hot Springs

52%

92270 Rancho Mirage

52%

92596 Winchester

52%

92557 Moreno Valley

59%

92880 Corona

69%

92223 Beaumont

72%

92543 Hemet

73%

92544 Hemet

73%

92570 Perris

75%

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
92230	Cabazon	Employment hub	1,887	4,721	15	529%
92590	Temecula	Employment hub	5,089	22,770	24	218%
92518	March Air Reserve Base	Employment hub	1,260	7,735	6	175%

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
92230	Cabazon	1,887	4,721	15	35.3	529%	Very high density
92860	Norco	25,109	11,256	56	18.2	273%	Very high density
92590	Temecula	5,089	22,770	24	14.6	218%	High density
92591	Temecula	41,955	18,073	71	13.9	209%	High density
92881	Corona	30,347	13,748	49	13.2	197%	High density
92320	Calimesa	10,902	2,887	16	13.0	194%	High density
92539	Anza	3,774	384	5	12.6	189%	High density
92501	Riverside	22,934	14,016	37	12.4	185%	High density
92518	March Air Reserve Base	1,260	7,735	6	11.7	175%	High density
92260	Palm Desert	30,523	20,177	47	11.6	173%	High density
92553	Moreno Valley	74,640	15,017	93	11.3	170%	High density
92264	Palm Springs	19,899	6,792	24	10.3	154%	High density
92508	Riverside	36,909	8,172	40	9.8	146%	Above average
92562	Murrieta	64,781	21,022	73	9.7	145%	Above average
92507	Riverside	64,015	36,439	78	9.5	142%	Above average
92262	Palm Springs	26,887	20,468	33	8.9	133%	Above average
92879	Corona	49,317	30,373	57	8.8	132%	Above average
92545	Hemet	45,982	8,142	43	8.6	129%	Above average
92583	San Jacinto	33,778	3,892	30	8.4	126%	Above average
91752	Mira Loma	37,983	30,704	44	8.2	124%	Above average
92506	Riverside	45,086	14,413	43	8.2	123%	Above average
92211	Palm Desert	28,092	14,395	29	8.2	123%	Above average
92234	Cathedral City	52,267	8,685	44	7.8	117%	Above average
92220	Banning	33,755	4,989	28	7.7	116%	Above average
92532	Lake Elsinore	28,055	3,451	23	7.7	116%	Above average
92595	Wildomar	34,438	6,332	29	7.7	116%	Above average
92505	Riverside	53,419	14,275	46	7.6	114%	Above average
92276	Thousand Palms	7,720	3,400	7	7.4	111%	Above average
92503	Riverside	88,395	20,783	73	7.4	111%	Above average
92584	Menifee	61,366	7,863	47	7.2	108%	Above average
92592	Temecula	80,035	16,196	62	7.0	105%	Above average
92530	Lake Elsinore	61,768	10,372	46	6.9	103%	Above average
92253	La Quinta	38,666	13,956	31	6.8	102%	Above average
92882	Corona	68,715	13,420	50	6.6	99%	Below average
92201	Indio	65,825	13,275	48	6.6	99%	Below average
92236	Coachella	43,642	5,781	30	6.4	97%	Below average
92563	Murrieta	80,379	14,262	55	6.3	94%	Below average
92203	Indio	34,735	7,490	24	6.2	93%	Below average
92504	Riverside	57,132	18,144	41	6.2	93%	Below average
92225	Blythe	20,319	2,240	13	6.1	91%	Below average
92571	Perris	60,096	21,347	41	5.8	87%	Below average
92509	Jurupa Valley	81,182	14,455	51	5.8	86%	Below average
92555	Moreno Valley	45,978	10,663	27	5.3	79%	Below average
92570	Perris	58,082	8,005	31	5.0	75%	Below average
92544	Hemet	51,751	3,384	26	4.9	73%	Below average
92543	Hemet	39,937	6,464	21	4.9	73%	Below average
92223	Beaumont	63,833	9,596	33	4.8	72%	Below average
92880	Corona	75,043	15,562	38	4.6	69%	Below average
92557	Moreno Valley	54,061	3,639	22	3.9	59%	Below average
92596	Winchester	38,981	2,167	14	3.5	52%	Below average
92270	Rancho Mirage	17,563	16,505	9	3.5	52%	Below average
92240	Desert Hot Springs	41,615	3,179	15	3.5	52%	Below average
92883	Corona	39,990	7,929	15	3.4	51%	Below average
92582	San Jacinto	23,356	1,459	8	3.3	50%	Far below average
92551	Moreno Valley	37,425	22,245	16	3.3	49%	Far below average
92586	Menifee	20,767	3,300	7	3.1	47%	Far below average
92585	Menifee	29,534	2,452	8	2.6	39%	Far below average
92587	Menifee	18,218	1,473	4	2.1	32%	Far below average
92202	Indio	—	147	0–2	—	—	Not published
92210	Indian Wells	4,871	4,872	0–2	—	—	Not published
92226	Blythe	—	72	0–2	—	—	Not published
92235	Cathedral City	—	173	0–2	—	—	Not published
92239	Desert Center	144	60	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
92263	Palm Springs	—	282	0–2	—	—	Not published
92274	Thermal	18,167	1,627	0–2	—	—	Not published
92282	Whitewater	1,419	115	0–2	—	—	Not published
92502	Riverside	—	201	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
92519	Riverside	—	64	0–2	—	—	Not published
92521	Riverside	0	106	4	—	—	Not published
92531	Lake Elsinore	—	17	0–2	—	—	Not published
92536	Aguanga	2,970	144	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
92552	Moreno Valley	—	70	0–2	—	—	Not published
92554	Moreno Valley	—	13	0–2	—	—	Not published
92556	Moreno Valley	—	70	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
92589	Temecula	—	338	0–2	—	—	Not published
92593	Temecula	—	64	0–2	—	—	Not published
92877	Corona	—	295	0–2	—	—	Not published
92878	Corona	—	6,127	11	—	—	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 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 2,030 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.