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Norfolk County, MA — 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. 44 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 — 1.51× the U.S. rate (between 1.51× and 1.57× 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. 11 ZIP cells in this county are withheld, 6 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   Norfolk County coffee shops — 151–157% of the U.S. rate

281 coffee shops are counted in Norfolk County — 3.2 per 10,000 people present (residents + daytime workers), 151% 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 10% between 2015 and 2023 (239 → 263). 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 02025 (Cohasset), 02090 (Westwood), 02035 (Foxboro) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 02368 (Randolph), 02186 (Milton), 02170 (Quincy).

BLS QCEW puts the latest county-wide count (2026 Q1) at 258 establishments, the freshest available signal.

Measured density: Norfolk County sits at 151% of the U.S. rate for coffee shops. 6 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 151% and 157% of the U.S. rate. Why. The highest measured density is in 02025 and 02090; the lowest measured density is in 02368 and 02186.

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
281–303
published count; upper bound counts each withheld ZIP cell as 2 (11 cells) (2023)
Per 10,000 present
3.2
residents + daytime workers
U.S. average
2.1
per 10,000 present
County index
1.51×
vs. U.S.
Latest quarter (QCEW)
258
2026 Q1 — county total
Residents
720,686
39 ZIPs with data
Workers
332,697
jobs located in county

Is the area growing?

Population
740,754
Census PEP, July 1 2024
Change since 2020
+2.3%
+17,004 people
Net migration 2024
+7,270
international +8,722, domestic −1,452
Jobs located here
356,190
LODES 2022, −2.4% since 2019

Norfolk County had an estimated 740,754 residents on July 1, 2024 — 2.3% more than in 2020 (+17,004). In the latest year it gained 8,375 people: births minus deaths +1,086, international migration +8,722, domestic migration −1,452. Components are published separately and may not sum exactly.

356,190 jobs were located in the county in 2022 (−2.4% since 2019), and 378,693 employed residents lived there (−0.4% 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
02190 South Weymouth
+14.2%
02169 Quincy
+11.4%
02762 Plainville
+8.3%
ZIP losing residents
2015–19 → 2020–24
Change
02030 Dover
−1.9%
02025 Cohasset
−0.7%
02038 Franklin
−0.3%

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
14
no paid employees (2024)
Receipts
$352K
published gross receipts
Receipts per business
$25K
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 10% since 2015

Number of coffee shops in Norfolk 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.

239
2015
250
2018
252
2020
245
2021
247
2022
263
2023

Highest measured density

ZIP
vs. U.S. average
Index
02025 Cohasset
340%
02090 Westwood
311%
02035 Foxboro
264%
02482 Wellesley
248%
02762 Plainville
230%
02445 Brookline
211%
02081 Walpole
205%
02019 Bellingham
203%
02052 Medfield
199%
02184 Braintree
192%
02026 Dedham
188%
02169 Quincy
180%
02446 Brookline
179%
02492 Needham
171%
02189 East Weymouth
164%

Lowest measured density

ZIP
vs. U.S. average
Index
02368 Randolph
74%
02186 Milton
75%
02170 Quincy
96%
02494 Needham Heights
98%
02021 Canton
99%
02481 Wellesley Hills
100%
02171 Quincy
104%
02038 Franklin
116%
02062 Norwood
118%
02053 Medway
124%
02072 Stoughton
127%
02054 Millis
148%
02056 Norfolk
149%
02343 Holbrook
151%
02093 Wrentham
158%
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.

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
02025Cohasset 8,4272,717 7 7.2 340% Very high density
02322Avon 4,7745,120 5 6.8 324% Very high density
02090Westwood 16,31816,260 16 6.5 311% Very high density
02035Foxboro 18,61513,286 14 5.5 264% Very high density
02482Wellesley 11,0514,751 7 5.2 248% High density
02762Plainville 9,9434,882 6 4.8 230% High density
02445Brookline 22,5604,411 11 4.4 211% High density
02081Walpole 19,3437,811 10 4.3 205% High density
02019Bellingham 17,4107,407 9 4.3 203% High density
02052Medfield 13,0682,589 6 4.2 199% High density
02184Braintree 38,89926,046 21 4.0 192% High density
02026Dedham 25,23715,252 13 4.0 188% High density
02169Quincy 62,99321,641 28 3.8 180% High density
02446Brookline 31,3106,447 13 3.8 179% High density
02492Needham 21,4247,311 9 3.6 171% High density
02189East Weymouth 14,4505,812 6 3.5 164% High density
02191North Weymouth 8,1811,164 3 3.4 163% High density
02190South Weymouth 19,6958,693 8 3.3 158% High density
02093Wrentham 12,2975,587 5 3.3 158% High density
02343Holbrook 11,3462,444 4 3.2 151% High density
02056Norfolk 11,6732,103 4 3.1 149% Above average
02054Millis 8,8881,544 3 3.1 148% Above average
02072Stoughton 29,22516,434 10 2.7 127% Above average
02053Medway 13,4363,713 4 2.6 124% Above average
02062Norwood 31,54225,287 11 2.5 118% Above average
02038Franklin 33,15415,772 10 2.4 116% Above average
02171Quincy 20,16414,627 6 2.2 104% Above average
02481Wellesley Hills 17,41512,557 5 2.1 100% Above average
02021Canton 24,74827,281 8 2.1 99% Below average
02494Needham Heights 11,03516,775 4 2.1 98% Below average
02170Quincy 18,8091,833 4 2.0 96% Below average
02186Milton 28,7355,544 5 1.6 75% Below average
02368Randolph 34,9127,772 6 1.5 74% Below average
02027Dedham —47 0–2 — — Not published
02030Dover 5,930667 0–2 — — Not published
02032East Walpole 4,9922,201 0–2 — — Not published
02067Sharon 18,5383,130 0–2 — — Not published
02070Sheldonville —31 0–2 — — Not published
02071South Walpole 2,089178 0–2 — — Not published
02185Braintree —98 0–2 — — Not published
02187Milton Village —39 0–2 — — Not published
02188Weymouth 16,1793,567 0–2 — — Not published
02269Quincy —1,134 0–2 — — Not published
02457Babson Park 1,8812,081 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Canton

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 Canton retail space →
Crexi
Free listings + market data
Browse Canton retail space →
CityFeet
Retail space for lease
Browse Canton 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 Norfolk 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 258 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.