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Suffolk County, MA — Fast food Saturation

How many fast food 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. 43 ZIP codes analyzed.

Includes: Fast food · Quick-service restaurants · Takeout & delivery counters · Pizza delivery · Sandwich & burger chains. Counted together because official statistics use one 722513 code.

Measured density: Above average — 1.01× the U.S. rate (between 1.01× and 1.01× 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. 12 ZIP cells in this county are withheld, 2 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

In line with the U.S. rate   Suffolk County fast food — 101–101% of the U.S. rate

766 fast food are counted in Suffolk County — 6.7 per 10,000 people present (residents + daytime workers), 101% of the U.S. rate of 6.7.

On the comparable ZIP set (ZIPs with a published count in every year), the total has stayed roughly flat between 2015 and 2023 (760 → 766).

Measured supply density is highest in 02134 (Allston), 02113 (Boston), 02126 (Mattapan) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 02129 (Charlestown), 02152 (Winthrop), 02124 (Dorchester Center).

BLS QCEW puts the latest county-wide count (2026 Q1) at 750 establishments, the freshest available signal.

Measured density: Suffolk County sits at 101% of the U.S. rate for fast food. 2 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 101% and 101% of the U.S. rate. Why. The highest measured density is in 02134 and 02113; the lowest measured density is in 02129 and 02152.

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

Fast food
766–790
published count; upper bound counts each withheld ZIP cell as 2 (12 cells) (2023)
Per 10,000 present
6.7
residents + daytime workers
U.S. average
6.7
per 10,000 present
County index
1.01×
vs. U.S.
Latest quarter (QCEW)
750
2026 Q1 — county total
Residents
780,506
33 ZIPs with data
Workers
719,212
jobs located in county

Is the area growing?

Population
793,144
Census PEP, July 1 2024
Change since 2020
−0.5%
−4,095 people
Net migration 2024
+7,951
international +18,922, domestic −10,971
Jobs located here
716,342
LODES 2022, −0.1% since 2019

Suffolk County had an estimated 793,144 residents on July 1, 2024 — 0.5% fewer than in 2020 (−4,095). In the latest year it gained 11,466 people: births minus deaths +3,541, international migration +18,922, domestic migration −10,971. Components are published separately and may not sum exactly.

716,342 jobs were located in the county in 2022 (−0.1% since 2019), and 389,335 employed residents lived there (−2.9% 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
02210 Boston
+87.6%
02151 Revere
+11.8%
02152 Winthrop
+1.2%
ZIP losing residents
2015–19 → 2020–24
Change
02131 Roslindale
−9.5%

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
145
no paid employees (2024)
Receipts
$8.0M
published gross receipts
Receipts per business
$55K
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 fast food 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 fast food in Suffolk 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.

760
2015
823
2018
783
2020
782
2021
780
2022
766
2023

Highest measured density

ZIP
vs. U.S. average
Index
02134 Allston
271%
02113 Boston
155%
02126 Mattapan
130%
02118 Boston
127%
02132 West Roxbury
124%
02128 East Boston
121%
02131 Roslindale
110%
02127 South Boston
103%
02135 Brighton
93%
02125 Dorchester
93%
02119 Roxbury
92%
02130 Jamaica Plain
89%
02122 Dorchester
82%
02121 Dorchester
74%
02151 Revere
72%

Lowest measured density

ZIP
vs. U.S. average
Index
02129 Charlestown
34%
02152 Winthrop
53%
02124 Dorchester Center
56%
02136 Hyde Park
64%
02120 Roxbury Crossing
70%
02150 Chelsea
71%
02151 Revere
72%
02121 Dorchester
74%
02122 Dorchester
82%
02130 Jamaica Plain
89%
02119 Roxbury
92%
02125 Dorchester
93%
02135 Brighton
93%
02127 South Boston
103%
02131 Roslindale
110%
Low measured density is not evidence of opportunity. A ZIP with few fast food 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 ResidentsWorkersFast foodIndex
02108Boston Employment hub 3,79422,279 31 311%
02111Boston Employment hub 8,40736,744 31 174%
02110Boston Destination 2,34269,473 37 150%
02109Boston Destination 3,61249,551 27 143%
02215Boston Employment hub 24,58159,623 45 124%
02116Boston Employment hub 21,97881,339 41 98%
02199Boston Destination 1,29223,042 8 94%
02115Boston Employment hub 29,70569,781 39 90%
02210Boston Employment hub 6,97167,457 20 74%
02114Boston Employment hub 14,41847,110 13 51%

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIPNeighborhood ResidentsWorkersFast food Per 10kIndexStatus
02108Boston 3,79422,279 31 20.8 311% Very high density
02134Allston 17,6676,714 38 18.1 271% Very high density
02111Boston 8,40736,744 31 11.6 174% High density
02113Boston 6,3852,742 8 10.3 155% High density
02110Boston 2,34269,473 37 10.0 150% Above average
02109Boston 3,61249,551 27 9.5 143% Above average
02126Mattapan 26,5832,125 24 8.7 130% Above average
02118Boston 28,94622,438 34 8.5 127% Above average
02132West Roxbury 26,4445,038 24 8.3 124% Above average
02215Boston 24,58159,623 45 8.3 124% Above average
02128East Boston 43,34526,928 46 8.1 121% Above average
02131Roslindale 31,1515,587 25 7.4 110% Above average
02127South Boston 36,76910,661 29 6.9 103% Above average
02116Boston 21,97881,339 41 6.5 98% Below average
02199Boston 1,29223,042 8 6.2 94% Below average
02135Brighton 43,14916,744 32 6.2 93% Below average
02125Dorchester 33,66210,196 24 6.2 93% Below average
02119Roxbury 27,3777,413 19 6.1 92% Below average
02115Boston 29,70569,781 39 6.0 90% Below average
02130Jamaica Plain 40,05513,822 28 6.0 89% Below average
02122Dorchester 23,4798,147 15 5.4 82% Below average
02121Dorchester 29,0402,317 15 5.0 74% Below average
02210Boston 6,97167,457 20 4.9 74% Below average
02151Revere 60,0128,546 31 4.8 72% Below average
02150Chelsea 39,90812,993 22 4.7 71% Below average
02120Roxbury Crossing 15,2833,682 8 4.7 70% Below average
02136Hyde Park 37,2655,452 17 4.3 64% Below average
02124Dorchester Center 56,2165,592 22 3.7 56% Below average
02152Winthrop 18,7591,799 7 3.6 53% Below average
02114Boston 14,41847,110 13 3.4 51% Below average
02129Charlestown 20,03213,245 6 2.3 34% Far below average
02112Boston —29 0–2 — — Not published
02117Boston —1,269 0–2 — — Not published
02123Boston —126 0–2 — — Not published
02133Boston 6247 0–2 — — Not published
02137Readville —50 0–2 — — Not published
02163Boston 1,817585 0–2 — — Not published
02196Boston —16 0–2 — — Not published
02201Boston —35 0–2 — — Not published
02203Boston 020 0–2 — — Not published
02205Boston 0186 0–2 — — Not published
02212Boston —16 0–2 — — Not published
02222Boston —27 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Boston

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 Boston retail space →
Crexi
Free listings + market data
Browse Boston retail space →
CityFeet
Retail space for lease
Browse Boston 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 Suffolk County and fast food

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 722513 — limited-service restaurants. 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 750 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 (6.67 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.