BizGapMap

Home / Nail salons / Florida / Palm Beach County, FL

Palm Beach County, FL — Nail salons Saturation

How many nail 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. 73 ZIP codes analyzed.

Includes: Nail salons · Manicure & pedicure studios. Counted together because official statistics use one 812113 code.

Measured density: Range spans bands — 0.78× the U.S. rate (between 0.78× and 1.11× 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. 47 ZIP cells in this county are withheld, 26 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   Palm Beach County nail salons — 78–111% of the U.S. rate

121 nail salons are counted in Palm Beach County — 0.7 per 10,000 people present (residents + daytime workers), 78% of the U.S. rate of 0.9.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 20% between 2015 and 2023 (60 → 72). 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 33408 (North Palm Beach), 33426 (Boynton Beach), 33431 (Boca Raton) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 33415 (West Palm Beach), 33461 (Lake Worth), 33463 (Lake Worth).

BLS QCEW puts the latest county-wide count (2026 Q1) at 131 establishments, the freshest available signal.

Measured density: Palm Beach County sits at 78% of the U.S. rate for nail salons. 26 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 78% and 111% of the U.S. rate. Why. The highest measured density is in 33408 and 33426; the lowest measured density is in 33415 and 33461.

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

Nail salons
121–215
published count; upper bound counts each withheld ZIP cell as 2 (47 cells) (2023)
Per 10,000 present
0.7
residents + daytime workers
U.S. average
0.9
per 10,000 present
County index
0.78×
vs. U.S.
Latest quarter (QCEW)
131
2026 Q1 — county total
Residents
1,539,829
52 ZIPs with data
Workers
591,843
jobs located in county

Is the area growing?

Population
1,582,055
Census PEP, July 1 2024
Change since 2020
+5.9%
+87,779 people
Net migration 2024
+25,279
international +32,825, domestic −7,546
Jobs located here
655,726
LODES 2022, +5.1% since 2019

Palm Beach County had an estimated 1,582,055 residents on July 1, 2024 — 5.9% more than in 2020 (+87,779). In the latest year it gained 24,574 people: births minus deaths −590, international migration +32,825, domestic migration −7,546. Components are published separately and may not sum exactly.

655,726 jobs were located in the county in 2022 (+5.1% since 2019), and 616,064 employed residents lived there (+2.9% 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
33470 Loxahatchee
+30.4%
33496 Boca Raton
+18.0%
33401 West Palm Beach
+17.5%
ZIP losing residents
2015–19 → 2020–24
Change
33449 Lake Worth
−28.9%
33430 Belle Glade
−14.6%
33493 South Bay
−6.8%

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 (no paid employees)

Nonemployer businesses
3,780
no paid employees (2024)
Receipts
$155.3M
published gross receipts
Receipts per business
$41K
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 nail 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 20% since 2015

Number of nail salons in Palm Beach 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.

60
2015
62
2018
71
2020
71
2021
69
2022
72
2023

Highest measured density

ZIP
vs. U.S. average
Index
33408 North Palm Beach
267%
33426 Boynton Beach
241%
33431 Boca Raton
236%
33414 Wellington
186%
33434 Boca Raton
183%
33435 Boynton Beach
171%
33405 West Palm Beach
153%
33467 Lake Worth
148%
33484 Delray Beach
121%
33437 Boynton Beach
119%
33410 Palm Beach Gardens
116%
33401 West Palm Beach
115%
33428 Boca Raton
114%
33436 Boynton Beach
113%
33433 Boca Raton
113%

Lowest measured density

ZIP
vs. U.S. average
Index
33415 West Palm Beach
61%
33461 Lake Worth
64%
33463 Lake Worth
67%
33418 Palm Beach Gardens
69%
33458 Jupiter
70%
33409 West Palm Beach
80%
33462 Lake Worth
91%
33411 West Palm Beach
105%
33433 Boca Raton
113%
33436 Boynton Beach
113%
33428 Boca Raton
114%
33401 West Palm Beach
115%
33410 Palm Beach Gardens
116%
33437 Boynton Beach
119%
33484 Delray Beach
121%
Low measured density is not evidence of opportunity. A ZIP with few nail 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 = nail salons per 10,000 people present (residents + 0.5×workers) ÷ the U.S. average. 100% = exactly average.

ZIPNeighborhood ResidentsWorkersNail salons Per 10kIndexStatus
33408North Palm Beach 18,81715,232 6 2.3 267% Very high density
33426Boynton Beach 24,25519,702 7 2.1 241% High density
33431Boca Raton 24,60840,534 9 2.0 236% High density
33414Wellington 60,18418,752 11 1.6 186% High density
33434Boca Raton 21,6867,926 4 1.6 183% High density
33435Boynton Beach 37,8336,642 6 1.5 171% High density
33405West Palm Beach 19,7806,540 3 1.3 153% High density
33467Lake Worth 58,41110,464 8 1.3 148% Above average
33484Delray Beach 26,2085,719 3 1.0 121% Above average
33437Boynton Beach 37,2294,681 4 1.0 119% Above average
33410Palm Beach Gardens 36,75928,286 5 1.0 116% Above average
33401West Palm Beach 33,69835,260 5 1.0 115% Above average
33428Boca Raton 47,5887,945 5 1.0 114% Above average
33436Boynton Beach 48,7436,165 5 1.0 113% Above average
33433Boca Raton 47,00510,058 5 1.0 113% Above average
33411West Palm Beach 76,86325,543 8 0.9 105% Above average
33462Lake Worth 33,37110,412 3 0.8 91% Below average
33409West Palm Beach 33,48920,782 3 0.7 80% Below average
33406West Palm Beach 26,94511,139 ~2 0.6 72% Below average
33458Jupiter 55,51224,086 4 0.6 70% Below average
33418Palm Beach Gardens 43,67614,521 3 0.6 69% Below average
33463Lake Worth 65,4788,565 4 0.6 67% Below average
33461Lake Worth 49,44311,830 3 0.5 64% Below average
33415West Palm Beach 54,5816,586 3 0.5 61% Below average
33445Delray Beach 33,12213,316 ~2 0.5 59% Below average
33483Delray Beach 12,66912,056 ~0 0.0 0% Far below average
33402West Palm Beach —743 0–2 — — Not published
33403West Palm Beach 14,3708,902 0–2 — — Not published
33404West Palm Beach 30,91217,173 0–2 — — Not published
33407West Palm Beach 34,85128,241 0–2 — — Not published
33412West Palm Beach 15,8592,367 0–2 — — Not published
33413West Palm Beach 18,6684,509 0–2 — — Not published
33416West Palm Beach —131 0–2 — — Not published
33417West Palm Beach 38,0795,025 0–2 — — Not published
33419West Palm Beach —13 0–2 — — Not published
33420West Palm Beach —86 0–2 — — Not published
33421Royal Palm Beach —28 0–2 — — Not published
33422West Palm Beach —54 0–2 — — Not published
33424Boynton Beach —138 0–2 — — Not published
33425Boynton Beach —117 0–2 — — Not published
33427Boca Raton —16 0–2 — — Not published
33429Boca Raton —48 0–2 — — Not published
33430Belle Glade 19,7964,953 0–2 — — Not published
33432Boca Raton 21,83418,726 0–2 — — Not published
33438Canal Point 257103 0–2 — — Not published
33444Delray Beach 22,7379,739 0–2 — — Not published
33446Delray Beach 28,4317,556 0–2 — — Not published
33448Delray Beach —16 0–2 — — Not published
33449Lake Worth 8,7662,126 0–2 — — Not published
33454Greenacres —32 0–2 — — Not published
33460Lake Worth Beach 37,7956,192 0–2 — — Not published
33465Lake Worth —39 0–2 — — Not published
33466Lake Worth —19 0–2 — — Not published
33468Jupiter —122 0–2 — — Not published
33469Jupiter 14,6864,793 0–2 — — Not published
33470Loxahatchee 35,6106,409 0–2 — — Not published
33472Boynton Beach 18,8855,342 0–2 — — Not published
33473Boynton Beach 11,825756 0–2 — — Not published
33474Boynton Beach —151 0–2 — — Not published
33476Pahokee 7,413930 0–2 — — Not published
33477Jupiter 12,9087,972 0–2 — — Not published
33478Jupiter 14,7316,202 0–2 — — Not published
33480Palm Beach 10,92411,088 0–2 — — Not published
33481Boca Raton —22 0–2 — — Not published
33482Delray Beach —47 0–2 — — Not published
33486Boca Raton 23,2329,818 0–2 — — Not published
33487Boca Raton 20,71728,319 0–2 — — Not published
33488Boca Raton —95 0–2 — — Not published
33493South Bay 5,1581,445 0–2 — — Not published
33496Boca Raton 26,5797,951 0–2 — — Not published
33497Boca Raton —18 0–2 — — Not published
33498Boca Raton 16,8532,464 0–2 — — Not published
33499Boca Raton —40 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Boca Raton

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 Boca Raton retail space →
Crexi
Free listings + market data
Browse Boca Raton retail space →
CityFeet
Retail space for lease
Browse Boca Raton 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 Palm Beach County and nail 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 812113 — nail 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 131 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 (0.85 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.