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Camden County, NJ — 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. 37 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 — 1.04× the U.S. rate (between 1.04× and 1.05× 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. 6 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   Camden County fast food — 104–105% of the U.S. rate

444 fast food are counted in Camden County — 6.9 per 10,000 people present (residents + daytime workers), 104% 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 (395 → 434). 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 08002 (Cherry Hill), 08091 (West Berlin), 08031 (Bellmawr) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 08102 (Camden), 08035 (Haddon Heights), 08105 (Camden).

BLS QCEW puts the latest county-wide count (2026 Q1) at 422 establishments, the freshest available signal.

Measured density: Camden County sits at 104% 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 104% and 105% of the U.S. rate. Why. The highest measured density is in 08002 and 08091; the lowest measured density is in 08102 and 08035.

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
444–456
published count; upper bound counts each withheld ZIP cell as 2 (6 cells) (2023)
Per 10,000 present
6.9
residents + daytime workers
U.S. average
6.7
per 10,000 present
County index
1.04×
vs. U.S.
Latest quarter (QCEW)
422
2026 Q1 — county total
Residents
542,442
33 ZIPs with data
Workers
196,253
jobs located in county

Is the area growing?

Population
533,988
Census PEP, July 1 2024
Change since 2020
+2.1%
+10,837 people
Net migration 2024
+3,066
international +3,689, domestic −623
Jobs located here
207,678
LODES 2022, −3.5% since 2019

Camden County had an estimated 533,988 residents on July 1, 2024 — 2.1% more than in 2020 (+10,837). In the latest year it gained 4,412 people: births minus deaths +1,323, international migration +3,689, domestic migration −623. Components are published separately and may not sum exactly.

207,678 jobs were located in the county in 2022 (−3.5% since 2019), and 251,981 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
08045 Lawnside
+17.4%
08034 Cherry Hill
+16.3%
08033 Haddonfield
+11.7%
ZIP losing residents
2015–19 → 2020–24
Change

No ZIP had a statistically significant decrease.

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
149
no paid employees (2024)
Receipts
$11.7M
published gross receipts
Receipts per business
$79K
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 Camden 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.

395
2015
418
2018
410
2020
425
2021
431
2022
434
2023

Highest measured density

ZIP
vs. U.S. average
Index
08002 Cherry Hill
198%
08091 West Berlin
162%
08031 Bellmawr
147%
08030 Gloucester City
144%
08034 Cherry Hill
143%
08059 Mount Ephraim
138%
08106 Audubon
138%
08083 Somerdale
138%
08110 Pennsauken
132%
08084 Stratford
131%
08081 Sicklerville
120%
08108 Collingswood
116%
08078 Runnemede
115%
08043 Voorhees
109%
08049 Magnolia
107%

Lowest measured density

ZIP
vs. U.S. average
Index
08102 Camden
51%
08035 Haddon Heights
52%
08105 Camden
54%
08104 Camden
56%
08033 Haddonfield
67%
08003 Cherry Hill
70%
08007 Barrington
70%
08021 Clementon
75%
08103 Camden
84%
08004 Atco
85%
08109 Merchantville
89%
08107 Oaklyn
95%
08012 Blackwood
103%
08009 Berlin
105%
08029 Glendora
106%
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.

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
08002Cherry Hill 24,01520,207 45 13.2 198% High density
08091West Berlin 5,9634,726 9 10.8 162% High density
08031Bellmawr 11,7375,089 14 9.8 147% Above average
08030Gloucester City 13,2172,726 14 9.6 144% Above average
08034Cherry Hill 20,90112,857 26 9.5 143% Above average
08059Mount Ephraim 5,8051,423 6 9.2 138% Above average
08106Audubon 9,7312,279 10 9.2 138% Above average
08083Somerdale 9,6062,531 10 9.2 138% Above average
08110Pennsauken 19,1589,396 21 8.8 132% Above average
08084Stratford 7,0182,035 7 8.7 131% Above average
08045Lawnside 3,2003,110 4 8.4 126% Above average
08081Sicklerville 50,2646,489 43 8.0 120% Above average
08108Collingswood 18,6544,183 16 7.7 116% Above average
08078Runnemede 8,0512,117 7 7.7 115% Above average
08043Voorhees 31,19120,235 30 7.3 109% Above average
08049Magnolia 5,282686 4 7.1 107% Above average
08029Glendora 5,459360 4 7.1 106% Above average
08009Berlin 14,3465,488 12 7.0 105% Above average
08012Blackwood 41,81215,146 34 6.9 103% Above average
08107Oaklyn 13,5741,158 9 6.4 95% Below average
08109Merchantville 24,0229,495 17 5.9 89% Below average
08004Atco 11,4291,852 7 5.7 85% Below average
08103Camden 12,57321,220 13 5.6 84% Below average
08021Clementon 49,3054,823 26 5.0 75% Below average
08007Barrington 5,4171,991 3 4.7 70% Below average
08003Cherry Hill 31,80913,482 18 4.7 70% Below average
08033Haddonfield 17,7634,530 9 4.5 67% Below average
08104Camden 22,1483,923 9 3.7 56% Below average
08105Camden 26,4832,158 10 3.6 54% Below average
08035Haddon Heights 7,5512,071 3 3.5 52% Below average
08102Camden 8,2926,899 4 3.4 51% Below average
08018Cedar Brook —446 0–2 — — Not published
08026Gibbsboro 2,4351,364 0–2 — — Not published
08089Waterford Works 4,231204 0–2 — — Not published
08095Winslow 0171 0–2 — — Not published
08099Bellmawr —10 0–2 — — Not published
08101Camden —529 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Camden

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 Camden retail space →
Crexi
Free listings + market data
Browse Camden retail space →
CityFeet
Retail space for lease
Browse Camden 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 Camden 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 422 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.