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Philadelphia County, PA — 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. 54 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: Below average — 0.73× the U.S. rate (between 0.73× and 0.95× 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. 29 ZIP cells in this county are withheld, 22 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   Philadelphia County gyms — 73–95% of the U.S. rate

144 gyms are counted in Philadelphia County — 0.7 per 10,000 people present (residents + daytime workers), 73% 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 32% between 2015 and 2023 (69 → 91). 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 19127 (Philadelphia), 19130 (Philadelphia), 19118 (Philadelphia) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 19104 (Philadelphia), 19120 (Philadelphia), 19145 (Philadelphia).

BLS QCEW puts the latest county-wide count (2026 Q1) at 169 establishments, the freshest available signal.

Measured density: Philadelphia County sits at 73% of the U.S. rate for gyms. 22 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 73% and 95% of the U.S. rate. Why. The highest measured density is in 19127 and 19130; the lowest measured density is in 19104 and 19120.

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
144–202
published count; upper bound counts each withheld ZIP cell as 2 (29 cells) (2023)
Per 10,000 present
0.7
residents + daytime workers
U.S. average
1.0
per 10,000 present
County index
0.73×
vs. U.S.
Latest quarter (QCEW)
169
2026 Q1 — county total
Residents
1,580,199
47 ZIPs with data
Workers
690,182
jobs located in county

Is the area growing?

Population
1,573,916
Census PEP, July 1 2024
Change since 2020
−1.7%
−26,872 people
Net migration 2024
+5,989
international +21,321, domestic −15,332
Jobs located here
720,974
LODES 2022, −1.4% since 2019

Philadelphia County had an estimated 1,573,916 residents on July 1, 2024 — 1.7% fewer than in 2020 (−26,872). In the latest year it gained 10,567 people: births minus deaths +4,645, international migration +21,321, domestic migration −15,332. Components are published separately and may not sum exactly.

720,974 jobs were located in the county in 2022 (−1.4% since 2019), and 644,369 employed residents lived there (−2.0% 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
19121 Philadelphia
+28.4%
19144 Philadelphia
+15.3%
ZIP losing residents
2015–19 → 2020–24
Change
19134 Philadelphia
−13.7%

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 32% since 2015

Number of gyms in Philadelphia 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.

69
2015
86
2018
102
2020
93
2021
94
2022
91
2023

Highest measured density

ZIP
vs. U.S. average
Index
19127 Philadelphia
430%
19130 Philadelphia
250%
19118 Philadelphia
238%
19106 Philadelphia
219%
19129 Philadelphia
209%
19125 Philadelphia
201%
19147 Philadelphia
194%
19128 Philadelphia
164%
19123 Philadelphia
156%
19136 Philadelphia
149%
19122 Philadelphia
141%
19114 Philadelphia
124%
19134 Philadelphia
112%
19146 Philadelphia
109%
19115 Philadelphia
99%

Lowest measured density

ZIP
vs. U.S. average
Index
19104 Philadelphia
27%
19120 Philadelphia
42%
19145 Philadelphia
61%
19144 Philadelphia
70%
19116 Philadelphia
75%
19148 Philadelphia
87%
19131 Philadelphia
95%
19115 Philadelphia
99%
19146 Philadelphia
109%
19134 Philadelphia
112%
19114 Philadelphia
124%
19122 Philadelphia
141%
19136 Philadelphia
149%
19123 Philadelphia
156%
19128 Philadelphia
164%
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
19103Philadelphia Employment hub 25,900100,835 22 281%
19102Philadelphia Employment hub 6,19525,541 4 205%
19107Philadelphia Employment hub 14,82549,221 8 198%

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
19127Philadelphia 5,6642,263 3 4.4 430% Very high density
19103Philadelphia 25,900100,835 22 2.9 281% Very high density
19130Philadelphia 30,1169,905 9 2.6 250% Very high density
19118Philadelphia 9,9784,599 3 2.4 238% High density
19106Philadelphia 14,59724,084 6 2.3 219% High density
19129Philadelphia 11,9374,043 3 2.1 209% High density
19102Philadelphia 6,19525,541 4 2.1 205% High density
19125Philadelphia 25,1408,017 6 2.1 201% High density
19107Philadelphia 14,82549,221 8 2.0 198% High density
19147Philadelphia 39,70410,874 9 2.0 194% High density
19128Philadelphia 38,0397,304 7 1.7 164% High density
19123Philadelphia 19,68123,272 5 1.6 156% High density
19136Philadelphia 36,2625,790 6 1.5 149% Above average
19122Philadelphia 25,43918,394 5 1.4 141% Above average
19114Philadelphia 30,41117,816 5 1.3 124% Above average
19134Philadelphia 53,59414,238 7 1.2 112% Above average
19146Philadelphia 41,0587,401 5 1.1 109% Above average
19115Philadelphia 35,2798,543 4 1.0 99% Below average
19131Philadelphia 43,77614,470 5 1.0 95% Below average
19148Philadelphia 50,40033,959 6 0.9 87% Below average
19116Philadelphia 33,65410,865 3 0.8 75% Below average
19144Philadelphia 50,58010,536 4 0.7 70% Below average
19145Philadelphia 43,4409,285 3 0.6 61% Below average
19120Philadelphia 66,4697,777 3 0.4 42% Far below average
19104Philadelphia 55,172106,374 3 0.3 27% Far below average
19019Philadelphia —497 0–2 — — Not published
19101Philadelphia —197 0–2 — — Not published
19105Philadelphia —44 0–2 — — Not published
19108Philadelphia 154241 0–2 — — Not published
19109Philadelphia 01,873 0–2 — — Not published
19110Philadelphia —1,185 0–2 — — Not published
19111Philadelphia 66,28311,917 0–2 — — Not published
19112Philadelphia 08,750 0–2 — — Not published
19119Philadelphia 28,3564,012 0–2 — — Not published
19121Philadelphia 41,5743,106 0–2 — — Not published
19124Philadelphia 71,00413,411 0–2 — — Not published
19126Philadelphia 17,4832,435 0–2 — — Not published
19132Philadelphia 33,0063,822 0–2 — — Not published
19133Philadelphia 24,8645,300 0–2 — — Not published
19135Philadelphia 33,8035,544 0–2 — — Not published
19137Philadelphia 8,0264,385 0–2 — — Not published
19138Philadelphia 30,8212,419 0–2 — — Not published
19139Philadelphia 43,0906,211 0–2 — — Not published
19140Philadelphia 53,38514,289 0–2 — — Not published
19141Philadelphia 32,38511,455 0–2 — — Not published
19142Philadelphia 28,8292,044 0–2 — — Not published
19143Philadelphia 62,5724,167 0–2 — — Not published
19149Philadelphia 56,9145,944 0–2 — — Not published
19150Philadelphia 24,3042,511 0–2 — — Not published
19151Philadelphia 33,2672,195 0–2 — — Not published
19152Philadelphia 35,9558,473 0–2 — — Not published
19153Philadelphia 13,01825,536 0–2 — — Not published
19154Philadelphia 33,79615,359 0–2 — — Not published
19192Philadelphia —512 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Philadelphia

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 Philadelphia retail space →
Crexi
Free listings + market data
Browse Philadelphia retail space →
CityFeet
Retail space for lease
Browse Philadelphia 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 Philadelphia 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 169 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.