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Montgomery County, MD — 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. 64 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: Above average — 1.12× the U.S. rate (between 1.12× and 1.50× 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. 43 ZIP cells in this county are withheld, 25 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   Montgomery County gyms — 112–150% of the U.S. rate

149 gyms are counted in Montgomery County — 1.2 per 10,000 people present (residents + daytime workers), 112% of the U.S. rate of 1.0.

On the comparable ZIP set (ZIPs with a published count in every year), the total has stayed roughly flat between 2015 and 2023 (121 → 122).

Measured supply density is highest in 20814 (Bethesda), 20852 (Rockville), 20872 (Damascus) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 20906 (Silver Spring), 20817 (Bethesda), 20877 (Gaithersburg).

BLS QCEW puts the latest county-wide count (2026 Q1) at 133 establishments, the freshest available signal.

Measured density: Montgomery County sits at 112% of the U.S. rate for gyms. 25 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 112% and 150% of the U.S. rate. Why. The highest measured density is in 20814 and 20852; the lowest measured density is in 20906 and 20817.

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
149–235
published count; upper bound counts each withheld ZIP cell as 2 (43 cells) (2023)
Per 10,000 present
1.2
residents + daytime workers
U.S. average
1.0
per 10,000 present
County index
1.12×
vs. U.S.
Latest quarter (QCEW)
133
2026 Q1 — county total
Residents
1,076,754
46 ZIPs with data
Workers
436,377
jobs located in county

Is the area growing?

Population
1,082,273
Census PEP, July 1 2024
Change since 2020
+2.0%
+21,417 people
Net migration 2024
+8,401
international +17,781, domestic −9,380
Jobs located here
481,012
LODES 2022, −1.9% since 2019

Montgomery County had an estimated 1,082,273 residents on July 1, 2024 — 2.0% more than in 2020 (+21,417). In the latest year it gained 12,876 people: births minus deaths +4,447, international migration +17,781, domestic migration −9,380. Components are published separately and may not sum exactly.

481,012 jobs were located in the county in 2022 (−1.9% since 2019), and 472,285 employed residents lived there (−3.7% 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
20871 Clarksburg
+62.0%
20814 Bethesda
+13.0%
ZIP losing residents
2015–19 → 2020–24
Change
20876 Germantown
−14.2%

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 1% since 2015

Number of gyms in Montgomery 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.

121
2015
119
2018
119
2020
124
2021
123
2022
122
2023

Highest measured density

ZIP
vs. U.S. average
Index
20814 Bethesda
307%
20852 Rockville
270%
20872 Damascus
259%
20895 Kensington
210%
20855 Derwood
184%
20878 Gaithersburg
175%
20854 Potomac
172%
20886 Montgomery Village
162%
20871 Clarksburg
150%
20910 Silver Spring
143%
20850 Rockville
132%
20853 Rockville
117%
20832 Olney
100%
20815 Chevy Chase
100%
20876 Germantown
91%

Lowest measured density

ZIP
vs. U.S. average
Index
20906 Silver Spring
66%
20817 Bethesda
75%
20877 Gaithersburg
83%
20874 Germantown
85%
20879 Gaithersburg
87%
20904 Silver Spring
88%
20876 Germantown
91%
20815 Chevy Chase
100%
20832 Olney
100%
20853 Rockville
117%
20850 Rockville
132%
20910 Silver Spring
143%
20871 Clarksburg
150%
20886 Montgomery Village
162%
20854 Potomac
172%
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
20889Bethesda Employment hub 5842,995 0–2 —
20899Gaithersburg Employment hub 57198 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
20814Bethesda 32,79554,933 19 3.2 307% Very high density
20852Rockville 48,18047,971 20 2.8 270% Very high density
20872Damascus 13,9832,155 4 2.7 259% Very high density
20895Kensington 19,1847,981 5 2.2 210% High density
20855Derwood 17,2797,802 4 1.9 184% High density
20878Gaithersburg 66,11523,732 14 1.8 175% High density
20854Potomac 50,49812,073 10 1.8 172% High density
20886Montgomery Village 34,7182,734 6 1.7 162% High density
20871Clarksburg 30,1824,656 5 1.5 150% Above average
20910Silver Spring 45,94330,581 9 1.5 143% Above average
20850Rockville 50,35361,746 11 1.4 132% Above average
20853Rockville 31,8513,006 4 1.2 117% Above average
20832Olney 25,5537,316 3 1.0 100% Above average
20815Chevy Chase 30,50517,042 4 1.0 100% Below average
20876Germantown 26,40611,746 3 0.9 91% Below average
20904Silver Spring 58,64615,865 6 0.9 88% Below average
20879Gaithersburg 25,26416,628 3 0.9 87% Below average
20874Germantown 62,73811,825 6 0.9 85% Below average
20877Gaithersburg 38,54616,866 4 0.9 83% Below average
20817Bethesda 37,45428,442 4 0.8 75% Below average
20906Silver Spring 70,5957,233 5 0.7 66% Below average
20810Bethesda —16 0–2 — — Not published
20812Glen Echo 276139 0–2 — — Not published
20816Bethesda 18,1404,396 0–2 — — Not published
20818Cabin John 1,539500 0–2 — — Not published
20824Bethesda —1 0–2 — — Not published
20827Bethesda —14 0–2 — — Not published
20830Olney —76 0–2 — — Not published
20833Brookeville 7,8601,174 0–2 — — Not published
20837Poolesville 6,6991,084 0–2 — — Not published
20838Barnesville 30658 0–2 — — Not published
20839Beallsville 15893 0–2 — — Not published
20841Boyds 9,969994 0–2 — — Not published
20842Dickerson 2,369444 0–2 — — Not published
20849Rockville —18 0–2 — — Not published
20851Rockville 14,9461,180 0–2 — — Not published
20857Rockville —73 0–2 — — Not published
20859Potomac —101 0–2 — — Not published
20860Sandy Spring 2,0351,111 0–2 — — Not published
20861Ashton 2,890586 0–2 — — Not published
20862Brinklow 430170 0–2 — — Not published
20866Burtonsville 15,9862,820 0–2 — — Not published
20868Spencerville 198260 0–2 — — Not published
20875Germantown —227 0–2 — — Not published
20880Washington Grove 57717 0–2 — — Not published
20882Gaithersburg 13,7512,130 0–2 — — Not published
20883Gaithersburg —30 0–2 — — Not published
20884Gaithersburg —15 0–2 — — Not published
20885Gaithersburg —88 0–2 — — Not published
20889Bethesda 5842,995 0–2 — — Not published
20892Bethesda 03,410 0–2 — — Not published
20894Bethesda 019 0–2 — — Not published
20896Garrett Park 932136 0–2 — — Not published
20898Gaithersburg —2 0–2 — — Not published
20899Gaithersburg 57198 0–2 — — Not published
20901Silver Spring 36,4354,184 0–2 — — Not published
20902Silver Spring 54,2618,945 0–2 — — Not published
20903Silver Spring 24,8152,906 0–2 — — Not published
20905Silver Spring 19,0041,902 0–2 — — Not published
20907Silver Spring —7 0–2 — — Not published
20911Silver Spring —17 0–2 — — Not published
20912Takoma Park 25,7495,622 0–2 — — Not published
20914Silver Spring —27 0–2 — — Not published
20993Silver Spring —100 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Rockville

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 Rockville retail space →
Crexi
Free listings + market data
Browse Rockville retail space →
CityFeet
Retail space for lease
Browse Rockville 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 Montgomery 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.

Subscribe to updates (RSS) How these numbers are built →

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 133 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.