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Dallas County, TX — Gyms Saturation

How many gyms 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. 134 ZIP codes analyzed.

Includes: Gyms & fitness centers · CrossFit boxes · Boxing, martial arts & dance studios · Recreational sports centers. Counted together because official statistics use one 713940 code.

Measured density: Range spans bands — 0.88× the U.S. rate (between 0.88× and 1.08× 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. 87 ZIP cells in this county are withheld, 37 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   Dallas County gyms — 88–108% of the U.S. rate

321 gyms are counted in Dallas County — 0.9 per 10,000 people present (residents + daytime workers), 88% of the U.S. rate of 1.0.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 56% between 2015 and 2023 (144 → 224). 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 75205 (Dallas), 75206 (Dallas), 75209 (Dallas) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 75043 (Garland), 75149 (Mesquite), 75050 (Grand Prairie).

BLS QCEW puts the latest county-wide count (2026 Q1) at 313 establishments, the freshest available signal.

Measured density: Dallas County sits at 88% of the U.S. rate for gyms. 37 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 88% and 108% of the U.S. rate. Why. The highest measured density is in 75205 and 75206; the lowest measured density is in 75043 and 75149.

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

Gyms
321–495
published count; upper bound counts each withheld ZIP cell as 2 (87 cells) (2023)
Per 10,000 present
0.9
residents + daytime workers
U.S. average
1.0
per 10,000 present
County index
0.88×
vs. U.S.
Latest quarter (QCEW)
313
2026 Q1 — county total
Residents
2,736,443
84 ZIPs with data
Workers
1,654,497
jobs located in county

Is the area growing?

Population
2,656,028
Census PEP, July 1 2024
Change since 2020
+1.7%
+45,287 people
Net migration 2024
+396
international +47,564, domestic −47,168
Jobs located here
1,844,442
LODES 2022, +5.7% since 2019

Dallas County had an estimated 2,656,028 residents on July 1, 2024 — 1.7% more than in 2020 (+45,287). In the latest year it gained 19,774 people: births minus deaths +19,625, international migration +47,564, domestic migration −47,168. Components are published separately and may not sum exactly.

1,844,442 jobs were located in the county in 2022 (+5.7% since 2019), and 1,215,598 employed residents lived there (+1.8% 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
75054 Grand Prairie
+54.2%
75182 Sunnyvale
+31.8%
75146 Lancaster
+27.4%
ZIP losing residents
2015–19 → 2020–24
Change
75223 Dallas
−19.7%
75234 Dallas
−11.3%
75081 Richardson
−9.2%

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

Not shown. NES 2024 does not publish fitness and recreational sports centers (NAICS 71394); only the broader recreation group (7139) is available.

Census Nonemployer Statistics 2024 (NAICS 2022). We do not approximate this figure.

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 gyms 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 56% since 2015

Number of gyms in Dallas 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.

144
2015
178
2018
203
2020
213
2021
220
2022
224
2023

Highest measured density

ZIP
vs. U.S. average
Index
75205 Dallas
384%
75206 Dallas
362%
75209 Dallas
361%
75226 Dallas
319%
75182 Sunnyvale
262%
75214 Dallas
254%
75230 Dallas
238%
75081 Richardson
236%
75218 Dallas
224%
75223 Dallas
218%
75204 Dallas
212%
75080 Richardson
205%
75225 Dallas
204%
75248 Dallas
188%
75219 Dallas
182%

Lowest measured density

ZIP
vs. U.S. average
Index
75043 Garland
43%
75149 Mesquite
43%
75050 Grand Prairie
44%
75052 Grand Prairie
46%
75150 Mesquite
53%
75040 Garland
54%
75051 Grand Prairie
59%
75044 Garland
59%
75115 Desoto
61%
75063 Irving
62%
75062 Irving
68%
75240 Dallas
72%
75212 Dallas
86%
75104 Cedar Hill
89%
75048 Sachse
89%
Low measured density is not evidence of opportunity. A ZIP with few gyms 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 ResidentsWorkersGymsIndex
75207Dallas Employment hub 8,28720,963 6 311%
75244Dallas Employment hub 13,38934,088 8 256%
75201Dallas Employment hub 18,34592,848 12 180%
75039Irving Employment hub 24,16461,246 7 124%
75001Addison Employment hub 16,87241,981 3 77%
75202Dallas Employment hub 2,89220,173 0–2 —
75246Dallas Employment hub 2,28615,760 0–2 —
75247Dallas Destination 62753,514 0–2 —
75251Dallas Employment hub 3,52516,647 0–2 —

Scroll the table sideways to see all columns.

All ZIP codes

Click a column header to sort. Index = gyms per 10,000 people present (residents + 0.5×workers) ÷ the U.S. average. 100% = exactly average.

ZIPNeighborhood ResidentsWorkersGyms Per 10kIndexStatus
75205Dallas 26,57212,746 13 3.9 384% Very high density
75206Dallas 38,90924,358 19 3.7 362% Very high density
75209Dallas 14,2119,318 7 3.7 361% Very high density
75226Dallas 5,1997,934 3 3.3 319% Very high density
75207Dallas 8,28720,963 6 3.2 311% Very high density
75182Sunnyvale 8,3365,598 3 2.7 262% Very high density
75244Dallas 13,38934,088 8 2.6 256% Very high density
75214Dallas 34,2748,104 10 2.6 254% Very high density
75230Dallas 27,76318,160 9 2.4 238% High density
75081Richardson 36,54434,121 13 2.4 236% High density
75218Dallas 22,5446,986 6 2.3 224% High density
75223Dallas 11,9942,867 3 2.2 218% High density
75204Dallas 34,66622,553 10 2.2 212% High density
75080Richardson 52,56937,229 15 2.1 205% High density
75225Dallas 22,23722,330 7 2.1 204% High density
75248Dallas 38,45916,289 9 1.9 188% High density
75219Dallas 23,93427,048 7 1.9 182% High density
75254Dallas 25,05035,596 8 1.9 182% High density
75201Dallas 18,34592,848 12 1.9 180% High density
75019Coppell 44,91761,807 14 1.8 180% High density
75006Carrollton 47,80756,255 14 1.8 180% High density
75208Dallas 29,36710,015 6 1.7 170% High density
75082Richardson 29,61850,100 8 1.5 143% Above average
75229Dallas 33,65631,720 7 1.4 138% Above average
75243Dallas 63,48141,969 11 1.3 127% Above average
75039Irving 24,16461,246 7 1.3 124% Above average
75234Dallas 32,96145,370 7 1.3 123% Above average
75088Rowlett 28,0759,532 4 1.2 119% Above average
75231Dallas 38,37028,378 6 1.1 111% Above average
75038Irving 32,75542,892 6 1.1 108% Above average
75238Dallas 33,19913,916 4 1.0 97% Below average
75048Sachse 30,9933,336 3 0.9 89% Below average
75104Cedar Hill 49,22811,419 5 0.9 89% Below average
75212Dallas 28,25911,763 3 0.9 86% Below average
75001Addison 16,87241,981 3 0.8 77% Below average
75240Dallas 25,29030,748 3 0.7 72% Below average
75062Irving 52,11639,024 5 0.7 68% Below average
75063Irving 45,84965,930 5 0.6 62% Below average
75115Desoto 56,21114,669 4 0.6 61% Below average
75044Garland 47,5294,209 3 0.6 59% Below average
75051Grand Prairie 40,88417,721 3 0.6 59% Below average
75040Garland 64,60614,086 4 0.6 54% Below average
75150Mesquite 62,73822,571 4 0.5 53% Below average
75052Grand Prairie 97,27817,298 5 0.5 46% Far below average
75050Grand Prairie 44,88941,725 3 0.5 44% Far below average
75149Mesquite 58,26218,847 3 0.4 43% Far below average
75043Garland 63,15210,125 3 0.4 43% Far below average
75011Carrollton —178 0–2 — — Not published
75014Irving —304 0–2 — — Not published
75015Irving —272 0–2 — — Not published
75016Irving —348 0–2 — — Not published
75017Irving —53 0–2 — — Not published
75030Rowlett —102 0–2 — — Not published
75041Garland 32,94318,795 0–2 — — Not published
75042Garland 38,11215,899 0–2 — — Not published
75045Garland —6 0–2 — — Not published
75046Garland —34 0–2 — — Not published
75047Garland —19 0–2 — — Not published
75049Garland —22 0–2 — — Not published
75053Grand Prairie —1,538 0–2 — — Not published
75054Grand Prairie 18,388599 0–2 — — Not published
75060Irving 47,5918,392 0–2 — — Not published
75061Irving 56,01323,533 0–2 — — Not published
75064Irving —36 0–2 — — Not published
75083Richardson —338 0–2 — — Not published
75085Richardson —190 0–2 — — Not published
75089Rowlett 35,6192,376 0–2 — — Not published
75099Coppell —29 0–2 — — Not published
75106Cedar Hill —307 0–2 — — Not published
75116Duncanville 19,9545,989 0–2 — — Not published
75123Desoto —19 0–2 — — Not published
75134Lancaster 19,0457,463 0–2 — — Not published
75137Duncanville 19,7294,569 0–2 — — Not published
75138Duncanville —32 0–2 — — Not published
75141Hutchins 5,7036,760 0–2 — — Not published
75146Lancaster 25,0974,573 0–2 — — Not published
75159Seagoville 23,4563,286 0–2 — — Not published
75172Wilmer 5,8065,900 0–2 — — Not published
75180Balch Springs 26,4556,518 0–2 — — Not published
75181Mesquite 29,7881,704 0–2 — — Not published
75185Mesquite —64 0–2 — — Not published
75187Mesquite —15 0–2 — — Not published
75202Dallas 2,89220,173 0–2 — — Not published
75203Dallas 15,7756,609 0–2 — — Not published
75210Dallas 7,722960 0–2 — — Not published
75211Dallas 73,53421,026 0–2 — — Not published
75215Dallas 18,8954,860 0–2 — — Not published
75216Dallas 55,8949,782 0–2 — — Not published
75217Dallas 85,0286,139 0–2 — — Not published
75220Dallas 40,23924,378 0–2 — — Not published
75221Dallas —390 0–2 — — Not published
75222Dallas —124 0–2 — — Not published
75224Dallas 35,1053,931 0–2 — — Not published
75227Dallas 58,31910,225 0–2 — — Not published
75228Dallas 67,71410,331 0–2 — — Not published
75232Dallas 32,9723,880 0–2 — — Not published
75233Dallas 14,8672,151 0–2 — — Not published
75235Dallas 19,63734,065 0–2 — — Not published
75236Dallas 18,96315,492 0–2 — — Not published
75237Dallas 18,26011,684 0–2 — — Not published
75241Dallas 33,8406,668 0–2 — — Not published
75242Dallas —69 0–2 — — Not published
75246Dallas 2,28615,760 0–2 — — Not published
75247Dallas 62753,514 0–2 — — Not published
75249Dallas 16,447836 0–2 — — Not published
75250Dallas —15 0–2 — — Not published
75251Dallas 3,52516,647 0–2 — — Not published
75253Dallas 24,3951,242 0–2 — — Not published
75260Dallas —28 0–2 — — Not published
75261Dallas 063,249 0–2 — — Not published
75265Dallas —100 0–2 — — Not published
75266Dallas —605 0–2 — — Not published
75270Dallas 01,259 0–2 — — Not published
75275Dallas —5,461 0–2 — — Not published
75313Dallas —28 0–2 — — Not published
75315Dallas —17 0–2 — — Not published
75320Dallas —14 0–2 — — Not published
75336Dallas —545 0–2 — — Not published
75342Dallas —37 0–2 — — Not published
75354Dallas —137 0–2 — — Not published
75355Dallas —27 0–2 — — Not published
75356Dallas —53 0–2 — — Not published
75357Dallas —7 0–2 — — Not published
75360Dallas —174 0–2 — — Not published
75367Dallas —45 0–2 — — Not published
75370Dallas —39 0–2 — — Not published
75374Dallas —102 0–2 — — Not published
75376Dallas —20 0–2 — — Not published
75378Dallas —19 0–2 — — Not published
75379Dallas —96 0–2 — — Not published
75380Dallas —57 0–2 — — Not published
75381Dallas —89 0–2 — — Not published
75382Dallas —54 0–2 — — Not published
75390Dallas 06,070 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Dallas

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 Dallas retail space →
Crexi
Free listings + market data
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CityFeet
Retail space for lease
Browse Dallas 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 Dallas County and gyms

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 713940 — fitness & recreational sports centers (gyms). 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 313 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 (1.03 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.