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Essex 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. 52 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: Range spans bands — 0.97× the U.S. rate (between 0.97× 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. 18 ZIP cells in this county are withheld, 10 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   Essex County fast food — 97–101% of the U.S. rate

621 fast food are counted in Essex County — 6.5 per 10,000 people present (residents + daytime workers), 97% of the U.S. rate of 6.7.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 10% between 2015 and 2023 (564 → 618). 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 01949 (Middleton), 01906 (Saugus), 01952 (Salisbury) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 01835 (Haverhill), 01810 (Andover), 01902 (Lynn).

BLS QCEW puts the latest county-wide count (2026 Q1) at 606 establishments, the freshest available signal.

Measured density: Essex County sits at 97% of the U.S. rate for fast food. 10 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 97% and 101% of the U.S. rate. Why. The highest measured density is in 01949 and 01906; the lowest measured density is in 01835 and 01810.

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
621–657
published count; upper bound counts each withheld ZIP cell as 2 (18 cells) (2023)
Per 10,000 present
6.5
residents + daytime workers
U.S. average
6.7
per 10,000 present
County index
0.97×
vs. U.S.
Latest quarter (QCEW)
606
2026 Q1 — county total
Residents
812,999
44 ZIPs with data
Workers
284,682
jobs located in county

Is the area growing?

Population
823,938
Census PEP, July 1 2024
Change since 2020
+2.0%
+16,157 people
Net migration 2024
+6,430
international +9,656, domestic −3,226
Jobs located here
325,581
LODES 2022, −1.7% since 2019

Essex County had an estimated 823,938 residents on July 1, 2024 — 2.0% more than in 2020 (+16,157). In the latest year it gained 7,741 people: births minus deaths +1,270, international migration +9,656, domestic migration −3,226. Components are published separately and may not sum exactly.

325,581 jobs were located in the county in 2022 (−1.7% since 2019), and 399,495 employed residents lived there (−0.8% 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
01840 Lawrence
+52.9%
01904 Lynn
+21.4%
01905 Lynn
+14.8%
ZIP losing residents
2015–19 → 2020–24
Change
01984 Wenham
−5.9%
01908 Nahant
−5.1%
01982 South Hamilton
−4.4%

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
132
no paid employees (2024)
Receipts
$8.4M
published gross receipts
Receipts per business
$63K
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 10% since 2015

Number of fast food in Essex 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.

564
2015
596
2018
582
2020
606
2021
583
2022
618
2023

Highest measured density

ZIP
vs. U.S. average
Index
01949 Middleton
187%
01906 Saugus
174%
01952 Salisbury
168%
01840 Lawrence
147%
01950 Newburyport
146%
01930 Gloucester
138%
01969 Rowley
136%
01907 Swampscott
135%
01913 Amesbury
130%
01843 Lawrence
126%
01940 Lynnfield
119%
01923 Danvers
119%
01830 Haverhill
116%
01970 Salem
110%
01844 Methuen
108%

Lowest measured density

ZIP
vs. U.S. average
Index
01835 Haverhill
43%
01810 Andover
48%
01902 Lynn
49%
01841 Lawrence
51%
01921 Boxford
52%
01945 Marblehead
67%
01832 Haverhill
68%
01905 Lynn
78%
01834 Groveland
82%
01938 Ipswich
91%
01904 Lynn
94%
01845 North Andover
94%
01833 Georgetown
96%
01983 Topsfield
99%
01966 Rockport
103%
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
01901Lynn Employment hub 2,4195,113 13 392%

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
01901Lynn 2,4195,113 13 26.1 392% Very high density
01949Middleton 9,8164,428 15 12.5 187% High density
01929Essex 3,6211,175 5 11.9 178% High density
01906Saugus 28,7739,556 39 11.6 174% High density
01952Salisbury 9,2812,855 12 11.2 168% High density
01840Lawrence 8,5225,421 11 9.8 147% Above average
01950Newburyport 18,65211,865 24 9.8 146% Above average
01930Gloucester 30,0759,614 32 9.2 138% Above average
01969Rowley 6,2512,915 7 9.1 136% Above average
01907Swampscott 15,2772,837 15 9.0 135% Above average
01913Amesbury 17,4034,412 17 8.7 130% Above average
01843Lawrence 27,44511,504 28 8.4 126% Above average
01940Lynnfield 13,2856,066 13 8.0 119% Above average
01923Danvers 27,99124,899 32 7.9 119% Above average
01830Haverhill 26,5306,603 23 7.7 116% Above average
01970Salem 44,73816,559 39 7.4 110% Above average
01844Methuen 53,42015,598 44 7.2 108% Above average
01960Peabody 54,47421,323 46 7.1 106% Above average
01915Beverly 41,99422,438 37 7.0 104% Above average
01966Rockport 7,009563 5 6.9 103% Above average
01983Topsfield 6,5642,072 5 6.6 99% Below average
01833Georgetown 8,4321,924 6 6.4 96% Below average
01845North Andover 32,49414,851 25 6.3 94% Below average
01904Lynn 21,0032,880 14 6.2 94% Below average
01938Ipswich 13,9305,007 10 6.1 91% Below average
01834Groveland 6,7771,023 4 5.5 82% Below average
01905Lynn 28,2215,225 16 5.2 78% Below average
01832Haverhill 26,3864,882 13 4.5 68% Below average
01945Marblehead 20,4703,948 10 4.5 67% Below average
01921Boxford 8,250875 3 3.5 52% Below average
01841Lawrence 52,7695,765 19 3.4 51% Below average
01902Lynn 50,0663,881 17 3.3 49% Far below average
01810Andover 35,64834,501 17 3.2 48% Far below average
01835Haverhill 14,7825,503 5 2.9 43% Far below average
01831Haverhill —148 0–2 — — Not published
01842Lawrence —211 0–2 — — Not published
01860Merrimac 6,748765 0–2 — — Not published
01885West Boxford —31 0–2 — — Not published
01903Lynn —31 0–2 — — Not published
01908Nahant 3,325320 0–2 — — Not published
01910Lynn —2,791 0–2 — — Not published
01922Byfield 3,450687 0–2 — — Not published
01931Gloucester —71 0–2 — — Not published
01936Hamilton —65 0–2 — — Not published
01937Hathorne 10745 0–2 — — Not published
01944Manchester 5,4031,421 0–2 — — Not published
01951Newbury 3,327480 0–2 — — Not published
01961Peabody —377 0–2 — — Not published
01965Prides Crossing 671413 0–2 — — Not published
01982South Hamilton 7,680930 0–2 — — Not published
01984Wenham 4,9291,266 0–2 — — Not published
01985West Newbury 4,591274 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Andover

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 Andover retail space →
Crexi
Free listings + market data
Browse Andover retail space →
CityFeet
Retail space for lease
Browse Andover 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 Essex 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 606 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.