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Cumberland County, ME — Coffee shops Saturation

How many coffee shops 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. 47 ZIP codes analyzed.

Includes: Coffee shops · Espresso bars · Boba / bubble tea shops · Juice & smoothie bars · Ice cream & frozen yogurt shops. Counted together because official statistics use one 722515 code.

Measured density: High density — 1.72× the U.S. rate (between 1.72× and 2.24× 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. 32 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

High density   Cumberland County coffee shops — 172–224% of the U.S. rate

145 coffee shops are counted in Cumberland County — 3.6 per 10,000 people present (residents + daytime workers), 172% of the U.S. rate of 2.1.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 9% between 2015 and 2023 (118 → 129). 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 04106 (South Portland), 04074 (Scarborough), 04096 (Yarmouth) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 04102 (Portland), 04092 (Westbrook), 04032 (Freeport).

BLS QCEW puts the latest county-wide count (2026 Q1) at 170 establishments, the freshest available signal.

Measured density: Cumberland County sits at 172% of the U.S. rate for coffee shops. 22 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 172% and 224% of the U.S. rate. Why. The highest measured density is in 04106 and 04074; the lowest measured density is in 04102 and 04092.

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

Coffee shops
145–209
published count; upper bound counts each withheld ZIP cell as 2 (32 cells) (2023)
Per 10,000 present
3.6
residents + daytime workers
U.S. average
2.1
per 10,000 present
County index
1.72×
vs. U.S.
Latest quarter (QCEW)
170
2026 Q1 — county total
Residents
309,271
37 ZIPs with data
Workers
184,637
jobs located in county

Is the area growing?

Population
313,809
Census PEP, July 1 2024
Change since 2020
+3.4%
+10,203 people
Net migration 2024
+2,565
international +2,378, domestic +187
Jobs located here
194,149
LODES 2022, +0.7% since 2019

Cumberland County had an estimated 313,809 residents on July 1, 2024 — 3.4% more than in 2020 (+10,203). In the latest year it gained 2,551 people: births minus deaths −19, international migration +2,378, domestic migration +187. Components are published separately and may not sum exactly.

194,149 jobs were located in the county in 2022 (+0.7% since 2019), and 151,654 employed residents lived there (+0.2% 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
04074 Scarborough
+16.0%
04097 North Yarmouth
+12.2%
04092 Westbrook
+11.5%
ZIP losing residents
2015–19 → 2020–24
Change
04015 Casco
−5.1%

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
15
no paid employees (2024)
Receipts
$484K
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 coffee shops 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 9% since 2015

Number of coffee shops in Cumberland 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.

118
2015
108
2018
102
2020
111
2021
112
2022
129
2023

Highest measured density

ZIP
vs. U.S. average
Index
04106 South Portland
267%
04074 Scarborough
219%
04096 Yarmouth
216%
04011 Brunswick
210%
04105 Falmouth
182%
04039 Gray
157%
04062 Windham
152%
04103 Portland
145%
04038 Gorham
137%
04032 Freeport
133%
04092 Westbrook
127%
04102 Portland
104%

Lowest measured density

ZIP
vs. U.S. average
Index
04102 Portland
104%
04092 Westbrook
127%
04032 Freeport
133%
04038 Gorham
137%
04103 Portland
145%
04062 Windham
152%
04039 Gray
157%
04105 Falmouth
182%
04011 Brunswick
210%
04096 Yarmouth
216%
04074 Scarborough
219%
04106 South Portland
267%
Low measured density is not evidence of opportunity. A ZIP with few coffee shops 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 ResidentsWorkersCoffee shopsIndex
04101Portland Employment hub 18,43139,563 32 398%

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIPNeighborhood ResidentsWorkersCoffee shops Per 10kIndexStatus
04055Naples 3,985837 5 11.4 540% Very high density
04101Portland 18,43139,563 32 8.4 398% Very high density
04106South Portland 27,01924,278 22 5.6 267% Very high density
04071Raymond 4,971906 3 5.5 263% Very high density
04074Scarborough 23,07614,724 14 4.6 219% High density
04096Yarmouth 9,0533,874 5 4.5 216% High density
04011Brunswick 22,33614,176 13 4.4 210% High density
04105Falmouth 12,7555,881 6 3.8 182% High density
04039Gray 8,1021,928 3 3.3 157% High density
04062Windham 19,1885,526 7 3.2 152% High density
04103Portland 32,02414,472 12 3.1 145% Above average
04038Gorham 18,3005,100 6 2.9 137% Above average
04032Freeport 8,8023,776 3 2.8 133% Above average
04092Westbrook 20,77518,497 8 2.7 127% Above average
04102Portland 17,26720,211 6 2.2 104% Above average
04003Bailey Island 18367 0–2 — — Not published
04009Bridgton 5,4782,326 0–2 — — Not published
04013Bustins Island —18 0–2 — — Not published
04015Casco 3,696569 0–2 — — Not published
04017Chebeague Island 55575 0–2 — — Not published
04021Cumberland Center 6,9901,821 0–2 — — Not published
04024East Baldwin 356112 0–2 — — Not published
04029Sebago 2,086132 0–2 — — Not published
04033Freeport —1,923 0–2 — — Not published
04040Harrison 3,050251 0–2 — — Not published
04050Long Island 24911 0–2 — — Not published
04057North Bridgton 1647 0–2 — — Not published
04066Orrs Island 83724 0–2 — — Not published
04069Pownal 1,696132 0–2 — — Not published
04070Scarborough —365 0–2 — — Not published
04077South Casco —35 0–2 — — Not published
04078South Freeport —47 0–2 — — Not published
04079Harpswell 4,026300 0–2 — — Not published
04084Standish 7,9001,746 0–2 — — Not published
04085Steep Falls 2,76240 0–2 — — Not published
04091West Baldwin 80165 0–2 — — Not published
04097North Yarmouth 4,240434 0–2 — — Not published
04098Westbrook —47 0–2 — — Not published
04104Portland —1,755 0–2 — — Not published
04107Cape Elizabeth 9,656814 0–2 — — Not published
04108Peaks Island 826106 0–2 — — Not published
04109Portland 21331 0–2 — — Not published
04110Cumberland Foreside 1,657740 0–2 — — Not published
04112Portland —1,210 0–2 — — Not published
04116South Portland —45 0–2 — — Not published
04122Portland —23 0–2 — — Not published
04260New Gloucester 5,7661,085 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Portland

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 Portland retail space →
Crexi
Free listings + market data
Browse Portland retail space →
CityFeet
Retail space for lease
Browse Portland 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 Cumberland County and coffee shops

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 722515 — snack & non-alcoholic beverage bars (incl. coffee shops). 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 170 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 (2.10 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.