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Oakland County, MI — 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. 84 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: Above average — 1.22× the U.S. rate (between 1.22× and 1.34× 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, 20 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   Oakland County beauty salons — 122–134% of the U.S. rate

424 beauty salons are counted in Oakland County — 2.5 per 10,000 people present (residents + daytime workers), 122% of the U.S. rate of 2.1.

On the comparable ZIP set (ZIPs with a published count in every year), the total has stayed roughly flat between 2015 and 2023 (387 → 376).

Measured supply density is highest in 48009 (Birmingham), 48017 (Clawson), 48301 (Bloomfield Hills) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 48335 (Farmington), 48328 (Waterford), 48033 (Southfield).

BLS QCEW puts the latest county-wide count (2026 Q1) at 375 establishments, the freshest available signal.

Measured density: Oakland County sits at 122% of the U.S. rate for beauty salons. 20 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 122% and 134% of the U.S. rate. Why. The highest measured density is in 48009 and 48017; the lowest measured density is in 48335 and 48328.

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
424–496
published count; upper bound counts each withheld ZIP cell as 2 (36 cells) (2023)
Per 10,000 present
2.5
residents + daytime workers
U.S. average
2.1
per 10,000 present
County index
1.22×
vs. U.S.
Latest quarter (QCEW)
375
2026 Q1 — county total
Residents
1,282,834
67 ZIPs with data
Workers
727,774
jobs located in county

Is the area growing?

Population
1,296,888
Census PEP, July 1 2024
Change since 2020
+1.9%
+24,362 people
Net migration 2024
+13,721
international +18,153, domestic −4,432
Jobs located here
726,660
LODES 2021, −6.6% since 2019

Oakland County had an estimated 1,296,888 residents on July 1, 2024 — 1.9% more than in 2020 (+24,362). In the latest year it gained 15,052 people: births minus deaths +1,288, international migration +18,153, domestic migration −4,432. Components are published separately and may not sum exactly.

726,660 jobs were located in the county in 2021 (−6.6% since 2019), and 563,863 employed residents lived there (−6.6% 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→2021 spans the pandemic, so read it as one change, not a trend. The 2022 file for this state is not usable, so 2021 is the latest year shown.

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
48165 New Hudson
+27.4%
48377 Novi
+18.4%
48393 Wixom
+18.1%
ZIP losing residents
2015–19 → 2020–24
Change
48320 Keego Harbor
−13.3%
48030 Hazel Park
−9.5%
48071 Madison Heights
−5.6%

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
3,779
no paid employees (2024)
Receipts
$122.0M
published gross receipts
Receipts per business
$32K
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 — down 3% since 2015

Number of beauty salons in Oakland 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.

387
2015
371
2018
363
2020
367
2021
389
2022
376
2023

Highest measured density

ZIP
vs. U.S. average
Index
48009 Birmingham
667%
48017 Clawson
292%
48301 Bloomfield Hills
286%
48322 West Bloomfield
285%
48220 Ferndale
258%
48307 Rochester
252%
48334 Farmington
241%
48390 Walled Lake
233%
48381 Milford
231%
48375 Novi
228%
48067 Royal Oak
204%
48085 Troy
196%
48309 Rochester
186%
48462 Ortonville
171%
48371 Oxford
169%

Lowest measured density

ZIP
vs. U.S. average
Index
48335 Farmington
45%
48328 Waterford
53%
48033 Southfield
55%
48237 Oak Park
58%
48374 Novi
69%
48382 Commerce Township
72%
48073 Royal Oak
81%
48327 Waterford
82%
48076 Southfield
84%
48362 Lake Orion
87%
48329 Waterford
89%
48075 Southfield
90%
48348 Clarkston
91%
48178 South Lyon
96%
48386 White Lake
99%
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.

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.

ZIPNeighborhoodType ResidentsWorkersBeauty salonsIndex
48084Troy Employment hub 15,96042,532 9 116%
48326Auburn Hills Employment hub 24,51461,963 5 43%

Scroll the table sideways to see all columns.

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
48009Birmingham 21,77217,066 42 13.9 667% Very high density
48017Clawson 11,3503,620 8 6.1 292% Very high density
48301Bloomfield Hills 14,6824,318 10 5.9 286% Very high density
48322West Bloomfield 32,88511,793 23 5.9 285% Very high density
48320Keego Harbor 4,2772,007 3 5.7 273% Very high density
48220Ferndale 21,5279,144 14 5.4 258% Very high density
48307Rochester 44,71421,200 29 5.2 252% Very high density
48334Farmington 19,61820,591 15 5.0 241% High density
48390Walled Lake 23,9399,857 14 4.8 233% High density
48381Milford 14,0945,166 8 4.8 231% High density
48375Novi 24,02919,397 16 4.7 228% High density
48067Royal Oak 24,86811,460 13 4.2 204% High density
48085Troy 27,2319,479 13 4.1 196% High density
48309Rochester 30,68516,075 15 3.9 186% High density
48462Ortonville 13,2791,544 5 3.6 171% High density
48371Oxford 25,9724,925 10 3.5 169% High density
48083Troy 23,77138,686 15 3.5 167% High density
48025Franklin 14,73411,743 7 3.4 163% High density
48346Clarkston 23,1677,498 9 3.3 161% High density
48336Farmington 26,43210,708 9 2.8 136% Above average
48071Madison Heights 28,41922,868 11 2.8 133% Above average
48323West Bloomfield 17,2352,746 5 2.7 129% Above average
48302Bloomfield Hills 17,50510,644 6 2.6 126% Above average
48098Troy 20,93623,670 8 2.4 117% Above average
48377Novi 19,81625,952 8 2.4 117% Above average
48084Troy 15,96042,532 9 2.4 116% Above average
48306Rochester 28,3892,601 7 2.4 113% Above average
48030Hazel Park 14,9634,379 4 2.3 112% Above average
48360Lake Orion 12,1162,627 3 2.2 107% Above average
48383White Lake 13,2851,540 3 2.1 103% Above average
48359Lake Orion 10,4017,768 3 2.1 101% Above average
48386White Lake 17,8563,040 4 2.1 99% Below average
48178South Lyon 37,7894,611 8 2.0 96% Below average
48348Clarkston 24,5743,910 5 1.9 91% Below average
48075Southfield 22,84128,976 7 1.9 90% Below average
48329Waterford 24,7154,787 5 1.8 89% Below average
48362Lake Orion 14,9663,416 3 1.8 87% Below average
48076Southfield 25,40517,788 6 1.7 84% Below average
48327Waterford 20,9604,841 4 1.7 82% Below average
48073Royal Oak 33,10616,949 7 1.7 81% Below average
48382Commerce Township 24,4794,280 4 1.5 72% Below average
48374Novi 17,6726,466 3 1.4 69% Below average
48237Oak Park 29,3187,626 4 1.2 58% Below average
48033Southfield 17,27718,086 3 1.1 55% Below average
48328Waterford 24,4785,444 3 1.1 53% Below average
48335Farmington 25,07714,430 3 0.9 45% Far below average
48326Auburn Hills 24,51461,963 5 0.9 43% Far below average
48007Troy —209 0–2 — — Not published
48012Birmingham —93 5 — — Not published
48034Southfield 14,79629,575 0–2 — — Not published
48037Southfield —416 0–2 — — Not published
48068Royal Oak —175 0–2 — — Not published
48069Pleasant Ridge 2,602261 0–2 — — Not published
48070Huntington Woods 6,328481 0–2 — — Not published
48072Berkley 15,1493,081 0–2 — — Not published
48086Southfield —372 0–2 — — Not published
48099Troy —606 0–2 — — Not published
48165New Hudson 9,5665,480 0–2 — — Not published
48303Bloomfield Hills —953 0–2 — — Not published
48304Bloomfield Hills 17,3879,411 0–2 — — Not published
48308Rochester —18 0–2 — — Not published
48321Auburn Hills —236 0–2 — — Not published
48324West Bloomfield 17,0981,254 0–2 — — Not published
48325West Bloomfield —57 0–2 — — Not published
48330Drayton Plains —6 0–2 — — Not published
48331Farmington 21,56222,442 0–2 — — Not published
48332Farmington —292 0–2 — — Not published
48333Farmington —37 0–2 — — Not published
48340Pontiac 25,6696,764 0–2 — — Not published
48341Pontiac 18,92417,441 0–2 — — Not published
48342Pontiac 17,5646,412 0–2 — — Not published
48343Pontiac —358 0–2 — — Not published
48347Clarkston —141 0–2 — — Not published
48350Davisburg 8,163630 0–2 — — Not published
48356Highland 8,365956 0–2 — — Not published
48357Highland 8,7182,336 0–2 — — Not published
48361Lake Orion —113 0–2 — — Not published
48363Oakland 7,362410 0–2 — — Not published
48367Leonard 4,668307 0–2 — — Not published
48370Oxford 1,777151 0–2 — — Not published
48376Novi —98 0–2 — — Not published
48380Milford 7,1256,640 0–2 — — Not published
48393Wixom 20,14517,775 0–2 — — Not published
48442Holly 22,7885,750 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Auburn Hills

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 Auburn Hills retail space →
Crexi
Free listings + market data
Browse Auburn Hills retail space →
CityFeet
Retail space for lease
Browse Auburn Hills 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 Oakland 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 375 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.