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Monmouth County, NJ — Beauty salons Saturation

How many beauty salons 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: Hair salons · Beauty salons · Blow-dry & styling bars · Makeup & skincare studios. Counted together because official statistics use one 812112 code.

Measured density: High density — 2.01× the U.S. rate (between 2.01× and 2.21× 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. 22 ZIP cells in this county are withheld, 16 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

High density   Monmouth County beauty salons — 201–221% of the U.S. rate

331 beauty salons are counted in Monmouth County — 4.2 per 10,000 people present (residents + daytime workers), 201% of the U.S. rate of 2.1.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 9% between 2015 and 2023 (280 → 304). 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 07755 (Oakhurst), 07719 (Belmar), 08501 (Allentown) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 07751 (Morganville), 07731 (Howell), 07734 (Keansburg).

BLS QCEW puts the latest county-wide count (2026 Q1) at 319 establishments, the freshest available signal.

Measured density: Monmouth County sits at 201% of the U.S. rate for beauty salons. 16 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 201% and 221% of the U.S. rate. Why. The highest measured density is in 07755 and 07719; the lowest measured density is in 07751 and 07731.

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

Beauty salons
331–375
published count; upper bound counts each withheld ZIP cell as 2 (22 cells) (2023)
Per 10,000 present
4.2
residents + daytime workers
U.S. average
2.1
per 10,000 present
County index
2.01×
vs. U.S.
Latest quarter (QCEW)
319
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
658
no paid employees (2024)
Receipts
$25.7M
published gross receipts
Receipts per business
$39K
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 beauty salons 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 9% since 2015

Number of beauty salons 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.

280
2015
295
2018
287
2020
277
2021
290
2022
304
2023

Highest measured density

ZIP
vs. U.S. average
Index
07755 Oakhurst
434%
07719 Belmar
434%
08501 Allentown
340%
07726 Englishtown
316%
07701 Red Bank
309%
07716 Atlantic Highlands
291%
07746 Marlboro
254%
07747 Matawan
250%
07733 Holmdel
219%
07712 Asbury Park
216%
07757 Oceanport
210%
07718 Belford
207%
07762 Spring Lake
207%
08736 Manasquan
204%
07730 Hazlet
191%

Lowest measured density

ZIP
vs. U.S. average
Index
07751 Morganville
62%
07731 Howell
104%
07734 Keansburg
107%
07764 West Long Branch
127%
07753 Neptune
129%
07748 Middletown
131%
07740 Long Branch
139%
07728 Freehold
148%
07724 Eatontown
167%
07727 Farmingdale
167%
07760 Rumson
179%
07735 Keyport
185%
07730 Hazlet
191%
08736 Manasquan
204%
07762 Spring Lake
207%
Low measured density is not evidence of opportunity. A ZIP with few beauty salons 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 = beauty salons per 10,000 people present (residents + 0.5×workers) ÷ the U.S. average. 100% = exactly average.

ZIPNeighborhood ResidentsWorkersBeauty salons Per 10kIndexStatus
07702Shrewsbury 4,1796,578 19 25.4 1224% Very high density
08750Sea Girt 3,4832,608 11 23.0 1105% Very high density
07711Allenhurst 1,641298 3 16.8 806% Very high density
07717Avon By The Sea 2,030313 3 13.7 660% Very high density
07755Oakhurst 5,6132,068 6 9.0 434% Very high density
07719Belmar 22,13811,184 25 9.0 434% Very high density
08730Brielle 4,9561,534 5 8.7 420% Very high density
07737Leonardo 3,945265 3 7.4 354% Very high density
08501Allentown 6,3641,419 5 7.1 340% Very high density
07726Englishtown 44,76413,842 34 6.6 316% Very high density
07701Red Bank 24,37619,747 22 6.4 309% Very high density
07716Atlantic Highlands 8,8932,066 6 6.0 291% Very high density
07746Marlboro 18,4764,671 11 5.3 254% Very high density
07747Matawan 32,33012,220 20 5.2 250% Very high density
07733Holmdel 17,16614,020 11 4.5 219% High density
07712Asbury Park 40,19413,320 21 4.5 216% High density
07757Oceanport 6,1951,329 3 4.4 210% High density
07718Belford 6,658603 3 4.3 207% High density
07762Spring Lake 8,2622,082 4 4.3 207% High density
08736Manasquan 13,2236,546 7 4.2 204% High density
07730Hazlet 17,5345,312 8 4.0 191% High density
07735Keyport 19,1593,224 8 3.9 185% High density
07760Rumson 9,6922,152 4 3.7 179% High density
07727Farmingdale 7,7877,417 4 3.5 167% High density
07724Eatontown 24,01621,160 12 3.5 167% High density
07728Freehold 55,98424,183 21 3.1 148% Above average
07740Long Branch 32,91710,521 11 2.9 139% Above average
07748Middletown 28,6338,817 9 2.7 131% Above average
07753Neptune 37,29722,337 13 2.7 129% Above average
07764West Long Branch 8,5865,509 3 2.6 127% Above average
07734Keansburg 12,9251,245 3 2.2 107% Above average
07731Howell 40,32211,498 10 2.2 104% Above average
07751Morganville 21,1094,609 3 1.3 62% Below average
07703Fort Monmouth 0105 0–2 — — Not published
07704Fair Haven 6,170935 0–2 — — Not published
07710Adelphia —35 0–2 — — Not published
07720Bradley Beach 4,158720 0–2 — — Not published
07721Cliffwood 4,277558 0–2 — — Not published
07722Colts Neck 9,9902,455 0–2 — — Not published
07723Deal 884484 0–2 — — Not published
07732Highlands 4,527637 0–2 — — Not published
07738Lincroft 6,9392,008 0–2 — — Not published
07739Little Silver 6,1051,758 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
07758Port Monmouth 4,076496 0–2 — — Not published
07763Tennent —44 0–2 — — Not published
07765Wickatunk —221 0–2 — — Not published
08510Millstone Township 5,3861,368 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

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 beauty salons

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 812112 — beauty salons. 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 319 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 (2.08 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.