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Hampden 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. 49 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: Below average — 0.77× the U.S. rate (between 0.77× and 0.84× 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. 24 ZIP cells in this county are withheld, 12 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

Below the U.S. rate   Hampden County fast food — 77–84% of the U.S. rate

276 fast food are counted in Hampden County — 5.1 per 10,000 people present (residents + daytime workers), 77% 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 (272 → 267).

Measured supply density is highest in 01119 (Springfield), 01020 (Chicopee), 01089 (West Springfield) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 01013 (Chicopee), 01108 (Springfield), 01109 (Springfield).

BLS QCEW puts the latest county-wide count (2026 Q1) at 340 establishments, the freshest available signal.

Measured density: Hampden County sits at 77% of the U.S. rate for fast food. 12 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 77% and 84% of the U.S. rate. Why. The highest measured density is in 01119 and 01020; the lowest measured density is in 01013 and 01108.

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
276–324
published count; upper bound counts each withheld ZIP cell as 2 (24 cells) (2023)
Per 10,000 present
5.1
residents + daytime workers
U.S. average
6.7
per 10,000 present
County index
0.77×
vs. U.S.
Latest quarter (QCEW)
340
2026 Q1 — county total
Residents
462,692
37 ZIPs with data
Workers
149,833
jobs located in county

Is the area growing?

Population
464,151
Census PEP, July 1 2024
Change since 2020
+0.1%
+437 people
Net migration 2024
+2,211
international +2,959, domestic −748
Jobs located here
205,227
LODES 2022, −4.2% since 2019

Hampden County had an estimated 464,151 residents on July 1, 2024 — 0.1% more than in 2020 (+437). In the latest year it gained 2,023 people: births minus deaths −202, international migration +2,959, domestic migration −748. Components are published separately and may not sum exactly.

205,227 jobs were located in the county in 2022 (−4.2% since 2019), and 214,358 employed residents lived there (−2.3% 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
01010 Brimfield
+1.3%
01089 West Springfield
+0.6%
ZIP losing residents
2015–19 → 2020–24
Change
01057 Monson
−7.3%
01040 Holyoke
−6.0%
01077 Southwick
−5.2%

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 (no paid employees)

Nonemployer businesses
77
no paid employees (2024)
Receipts
$3.5M
published gross receipts
Receipts per business
$45K
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 — down 2% since 2015

Number of fast food in Hampden 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.

272
2015
259
2018
263
2020
261
2021
275
2022
267
2023

Highest measured density

ZIP
vs. U.S. average
Index
01119 Springfield
145%
01020 Chicopee
125%
01089 West Springfield
125%
01077 Southwick
116%
01069 Palmer
114%
01028 East Longmeadow
103%
01105 Springfield
103%
01001 Agawam
98%
01104 Springfield
96%
01085 Westfield
81%
01056 Ludlow
78%
01151 Indian Orchard
71%
01057 Monson
70%
01129 Springfield
69%
01118 Springfield
68%

Lowest measured density

ZIP
vs. U.S. average
Index
01013 Chicopee
29%
01108 Springfield
37%
01109 Springfield
44%
01095 Wilbraham
45%
01030 Feeding Hills
58%
01040 Holyoke
62%
01107 Springfield
67%
01118 Springfield
68%
01129 Springfield
69%
01057 Monson
70%
01151 Indian Orchard
71%
01056 Ludlow
78%
01085 Westfield
81%
01104 Springfield
96%
01001 Agawam
98%
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
01103Springfield Employment hub 2,4777,545 6 144%

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
01008Blandford 1,327137 4 28.7 430% Very high density
01128Springfield 2,896824 5 15.1 227% High density
01119Springfield 13,6163,696 15 9.7 145% Above average
01103Springfield 2,4777,545 6 9.6 144% Above average
01020Chicopee 30,1678,947 29 8.4 125% Above average
01089West Springfield 28,77214,507 30 8.3 125% Above average
01077Southwick 9,2172,191 8 7.8 116% Above average
01069Palmer 8,8213,403 8 7.6 114% Above average
01028East Longmeadow 16,3217,941 14 6.9 103% Above average
01105Springfield 11,8435,495 10 6.9 103% Above average
01001Agawam 16,2347,487 13 6.5 98% Below average
01104Springfield 23,20916,297 20 6.4 96% Below average
01085Westfield 41,10214,150 26 5.4 81% Below average
01056Ludlow 20,9044,175 12 5.2 78% Below average
01151Indian Orchard 9,6061,770 5 4.8 71% Below average
01057Monson 8,176831 4 4.7 70% Below average
01129Springfield 5,6721,716 3 4.6 69% Below average
01118Springfield 14,8391,327 7 4.5 68% Below average
01107Springfield 12,0092,700 6 4.5 67% Below average
01040Holyoke 37,81316,879 19 4.1 62% Below average
01030Feeding Hills 12,3051,239 5 3.9 58% Below average
01095Wilbraham 14,6184,061 5 3.0 45% Far below average
01109Springfield 31,1246,335 10 2.9 44% Far below average
01108Springfield 27,4052,269 7 2.5 37% Far below average
01013Chicopee 23,2844,831 5 1.9 29% Far below average
01009Bondsville 80485 0–2 — — Not published
01010Brimfield 3,705527 0–2 — — Not published
01011Chester 1,17526 0–2 — — Not published
01021Chicopee —139 0–2 — — Not published
01022Chicopee 1,8442,967 0–2 — — Not published
01034Granville 2,332125 0–2 — — Not published
01036Hampden 4,946925 0–2 — — Not published
01041Holyoke —804 0–2 — — Not published
01071Russell 1,054126 0–2 — — Not published
01079Thorndike 43852 0–2 — — Not published
01080Three Rivers 2,454279 0–2 — — Not published
01081Wales 1,74776 0–2 — — Not published
01086Westfield —631 0–2 — — Not published
01090West Springfield —146 0–2 — — Not published
01101Springfield —166 0–2 — — Not published
01102Springfield —2,592 0–2 — — Not published
01106Longmeadow 15,8533,774 0–2 — — Not published
01111Springfield —3,277 0–2 — — Not published
01115Springfield —1,050 0–2 — — Not published
01116Longmeadow —136 0–2 — — Not published
01138Springfield —5 0–2 — — Not published
01144Springfield 01,296 0–2 — — Not published
01199Springfield —8,423 0–2 — — Not published
01521Holland 2,583118 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Holyoke

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 Holyoke retail space →
Crexi
Free listings + market data
Browse Holyoke retail space →
CityFeet
Retail space for lease
Browse Holyoke 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 Hampden 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 340 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.