BizGapMap

Home / Limited-service restaurants (fast food) / New Jersey / Monmouth County, NJ

Monmouth County, NJ — Fast food Saturation

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. 55 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 — 1.19× the U.S. rate (between 1.19× and 1.25× 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. 20 ZIP cells in this county are withheld, 14 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

Above the U.S. rate   Monmouth County fast food — 119–125% of the U.S. rate

630 fast food are counted in Monmouth County — 8.0 per 10,000 people present (residents + daytime workers), 119% 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 28% between 2015 and 2023 (476 → 611). 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 08736 (Manasquan), 07755 (Oakhurst), 07719 (Belmar) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 07751 (Morganville), 07727 (Farmingdale), 07735 (Keyport).

BLS QCEW puts the latest county-wide count (2026 Q1) at 605 establishments, the freshest available signal.

Measured density: Monmouth County sits at 119% of the U.S. rate for fast food. 14 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 119% and 125% of the U.S. rate. Why. The highest measured density is in 08736 and 07755; the lowest measured density is in 07751 and 07727.

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
630–670
published count; upper bound counts each withheld ZIP cell as 2 (20 cells) (2023)
Per 10,000 present
8.0
residents + daytime workers
U.S. average
6.7
per 10,000 present
County index
1.19×
vs. U.S.
Latest quarter (QCEW)
605
2026 Q1 — county total
Residents
661,305
49 ZIPs with data
Workers
260,563
jobs located in county

Is the area growing?

Population
647,520
Census PEP, July 1 2024
Change since 2020
+0.7%
+4,742 people
Net migration 2024
+1,810
international +3,082, domestic −1,272
Jobs located here
268,070
LODES 2022, +2.6% since 2019

Monmouth County had an estimated 647,520 residents on July 1, 2024 — 0.7% more than in 2020 (+4,742). In the latest year it gained 2,579 people: births minus deaths +789, international migration +3,082, domestic migration −1,272. Components are published separately and may not sum exactly.

268,070 jobs were located in the county in 2022 (+2.6% since 2019), and 313,496 employed residents lived there (+0.4% 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
07724 Eatontown
+14.8%
07760 Rumson
+11.4%
07757 Oceanport
+10.8%
ZIP losing residents
2015–19 → 2020–24
Change
07732 Highlands
−7.0%

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
134
no paid employees (2024)
Receipts
$13.5M
published gross receipts
Receipts per business
$101K
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 28% since 2015

Number of fast food in Monmouth 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.

476
2015
520
2018
540
2020
573
2021
603
2022
611
2023

Highest measured density

ZIP
vs. U.S. average
Index
08736 Manasquan
454%
07755 Oakhurst
248%
07719 Belmar
216%
07716 Atlantic Highlands
196%
07739 Little Silver
172%
07701 Red Bank
171%
07738 Lincroft
151%
07730 Hazlet
148%
07753 Neptune
148%
07712 Asbury Park
147%
07747 Matawan
129%
07731 Howell
127%
07760 Rumson
125%
07764 West Long Branch
119%
07728 Freehold
119%

Lowest measured density

ZIP
vs. U.S. average
Index
07751 Morganville
32%
07727 Farmingdale
39%
07735 Keyport
58%
07718 Belford
65%
07748 Middletown
68%
07746 Marlboro
72%
08510 Millstone Township
74%
07734 Keansburg
77%
07726 Englishtown
84%
07733 Holmdel
87%
07762 Spring Lake
97%
07740 Long Branch
102%
07722 Colts Neck
107%
07724 Eatontown
113%
07704 Fair Haven
113%
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.

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.

ZIPNeighborhood ResidentsWorkersFast food Per 10kIndexStatus
08736Manasquan 13,2236,546 50 30.3 454% Very high density
07717Avon By The Sea 2,030313 5 22.9 343% Very high density
07702Shrewsbury 4,1796,578 13 17.4 261% Very high density
08750Sea Girt 3,4832,608 8 16.7 250% Very high density
07755Oakhurst 5,6132,068 11 16.5 248% High density
07719Belmar 22,13811,184 40 14.4 216% High density
07720Bradley Beach 4,158720 6 13.3 199% High density
07716Atlantic Highlands 8,8932,066 13 13.1 196% High density
07739Little Silver 6,1051,758 8 11.5 172% High density
07701Red Bank 24,37619,747 39 11.4 171% High density
07738Lincroft 6,9392,008 8 10.1 151% High density
07730Hazlet 17,5345,312 20 9.9 148% Above average
07753Neptune 37,29722,337 48 9.9 148% Above average
07712Asbury Park 40,19413,320 46 9.8 147% Above average
07747Matawan 32,33012,220 33 8.6 129% Above average
07731Howell 40,32211,498 39 8.5 127% Above average
07760Rumson 9,6922,152 9 8.4 125% Above average
07764West Long Branch 8,5865,509 9 7.9 119% Above average
07728Freehold 55,98424,183 54 7.9 119% Above average
07704Fair Haven 6,170935 5 7.5 113% Above average
07724Eatontown 24,01621,160 26 7.5 113% Above average
07722Colts Neck 9,9902,455 8 7.1 107% Above average
07740Long Branch 32,91710,521 26 6.8 102% Above average
07721Cliffwood 4,277558 3 6.6 99% Below average
07762Spring Lake 8,2622,082 6 6.4 97% Below average
07733Holmdel 17,16614,020 14 5.8 87% Below average
07726Englishtown 44,76413,842 29 5.6 84% Below average
07734Keansburg 12,9251,245 7 5.2 77% Below average
08510Millstone Township 5,3861,368 3 4.9 74% Below average
07746Marlboro 18,4764,671 10 4.8 72% Below average
07748Middletown 28,6338,817 15 4.5 68% Below average
07718Belford 6,658603 3 4.3 65% Below average
07735Keyport 19,1593,224 8 3.9 58% Below average
07727Farmingdale 7,7877,417 3 2.6 39% Far below average
07751Morganville 21,1094,609 5 2.1 32% Far below average
07703Fort Monmouth 0105 0–2 — — Not published
07710Adelphia —35 0–2 — — Not published
07711Allenhurst 1,641298 0–2 — — Not published
07723Deal 884484 0–2 — — Not published
07732Highlands 4,527637 0–2 — — Not published
07737Leonardo 3,945265 0–2 — — Not published
07750Monmouth Beach 3,207817 0–2 — — Not published
07752Navesink —57 0–2 — — Not published
07754Neptune —149 0–2 — — Not published
07756Ocean Grove 3,092764 0–2 — — Not published
07757Oceanport 6,1951,329 0–2 — — Not published
07758Port Monmouth 4,076496 0–2 — — Not published
07763Tennent —44 0–2 — — Not published
07765Wickatunk —221 0–2 — — Not published
08501Allentown 6,3641,419 0–2 — — Not published
08514Cream Ridge 4,9171,086 0–2 — — Not published
08535Millstone Township 4,9991,434 0–2 — — Not published
08555Roosevelt 99643 0–2 — — Not published
08720Allenwood 735303 0–2 — — Not published
08730Brielle 4,9561,534 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Freehold

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 Freehold retail space →
Crexi
Free listings + market data
Browse Freehold retail space →
CityFeet
Retail space for lease
Browse Freehold 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 Monmouth 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.

Subscribe to updates (RSS) How these numbers are built →

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 605 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 →

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.