BizGapMap

Home / Limited-service restaurants (fast food) / New Jersey / Passaic County, NJ

Passaic 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. 36 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 — 0.98× the U.S. rate

Why a range: Census does not publish a ZIP-by-industry count when that ZIP has 0–2 businesses. 9 ZIP cells in this county are withheld, 1 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   Passaic County fast food — 98% of the U.S. rate

397 fast food are counted in Passaic County — 6.6 per 10,000 people present (residents + daytime workers), 98% 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 21% between 2015 and 2023 (311 → 377). 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 07420 (Haskell), 07442 (Pompton Lakes), 07512 (Totowa) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 07514 (Paterson), 07502 (Paterson), 07504 (Paterson).

BLS QCEW puts the latest county-wide count (2026 Q1) at 420 establishments, the freshest available signal.

Measured density: Passaic County sits at 98% of the U.S. rate for fast food. The highest measured density is in 07420 and 07442; the lowest measured density is in 07514 and 07502.

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
397–415
published count; upper bound counts each withheld ZIP cell as 2 (9 cells) (2023)
Per 10,000 present
6.6
residents + daytime workers
U.S. average
6.7
per 10,000 present
County index
0.98×
vs. U.S.
Latest quarter (QCEW)
420
2026 Q1 — county total
Residents
531,700
28 ZIPs with data
Workers
145,770
jobs located in county

Is the area growing?

Population
526,597
Census PEP, July 1 2024
Change since 2020
+0.6%
+3,133 people
Net migration 2024
+3,862
international +9,710, domestic −5,848
Jobs located here
176,624
LODES 2022, +0.9% since 2019

Passaic County had an estimated 526,597 residents on July 1, 2024 — 0.6% more than in 2020 (+3,133). In the latest year it gained 6,378 people: births minus deaths +2,509, international migration +9,710, domestic migration −5,848. Components are published separately and may not sum exactly.

176,624 jobs were located in the county in 2022 (+0.9% since 2019), and 240,585 employed residents lived there (−1.4% 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
07505 Paterson
+79.3%
07013 Clifton
+16.1%
07508 Haledon
+5.0%
ZIP losing residents
2015–19 → 2020–24
Change
07456 Ringwood
−4.3%
07403 Bloomingdale
−4.0%

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
158
no paid employees (2024)
Receipts
$11.5M
published gross receipts
Receipts per business
$73K
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 21% since 2015

Number of fast food in Passaic 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.

311
2015
343
2018
351
2020
382
2021
378
2022
377
2023

Highest measured density

ZIP
vs. U.S. average
Index
07420 Haskell
252%
07442 Pompton Lakes
202%
07512 Totowa
172%
07503 Paterson
143%
07470 Wayne
130%
07421 Hewitt
124%
07508 Haledon
112%
07012 Clifton
107%
07424 Little Falls
100%
07506 Hawthorne
93%
07438 Oak Ridge
87%
07055 Passaic
86%
07513 Paterson
85%
07456 Ringwood
84%
07011 Clifton
80%

Lowest measured density

ZIP
vs. U.S. average
Index
07514 Paterson
46%
07502 Paterson
51%
07504 Paterson
54%
07403 Bloomingdale
55%
07480 West Milford
57%
07522 Paterson
64%
07013 Clifton
65%
07501 Paterson
68%
07524 Paterson
78%
07011 Clifton
80%
07456 Ringwood
84%
07513 Paterson
85%
07055 Passaic
86%
07438 Oak Ridge
87%
07506 Hawthorne
93%
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
07505Paterson 4,6912,787 20 32.9 493% Very high density
07420Haskell 5,3161,276 10 16.8 252% Very high density
07442Pompton Lakes 11,0471,626 16 13.5 202% High density
07435Newfoundland 2,703584 4 13.4 200% High density
07512Totowa 10,95911,185 19 11.5 172% High density
07503Paterson 19,1709,842 23 9.5 143% Above average
07470Wayne 54,11232,158 61 8.7 130% Above average
07421Hewitt 6,977580 6 8.3 124% Above average
07508Haledon 23,7623,305 19 7.5 112% Above average
07012Clifton 14,6536,960 13 7.2 107% Above average
07424Little Falls 28,08510,063 22 6.6 100% Below average
07506Hawthorne 19,6285,793 14 6.2 93% Below average
07014Clifton 4,9756,274 5 6.2 92% Below average
07438Oak Ridge 11,1601,725 7 5.8 87% Below average
07055Passaic 70,00212,488 44 5.8 86% Below average
07513Paterson 11,5761,679 7 5.6 85% Below average
07456Ringwood 11,6571,620 7 5.6 84% Below average
07011Clifton 38,5879,473 23 5.3 80% Below average
07524Paterson 13,8083,014 8 5.2 78% Below average
07501Paterson 35,4814,456 17 4.5 68% Below average
07013Clifton 30,8117,856 15 4.3 65% Below average
07522Paterson 23,0401,102 10 4.2 64% Below average
07480West Milford 14,9661,592 6 3.8 57% Below average
07403Bloomingdale 7,685974 3 3.7 55% Below average
07504Paterson 13,1231,747 5 3.6 54% Below average
07502Paterson 17,1581,205 6 3.4 51% Below average
07514Paterson 20,6474,140 7 3.1 46% Far below average
07015Clifton —310 0–2 — — Not published
07465Wanaque 5,921266 0–2 — — Not published
07474Wayne —436 0–2 — — Not published
07507Hawthorne —374 0–2 — — Not published
07509Paterson —62 0–2 — — Not published
07510Paterson —74 0–2 — — Not published
07511Totowa —235 0–2 — — Not published
07538Haledon —22 0–2 — — Not published
07544Paterson —15 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Wayne

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 Wayne retail space →
Crexi
Free listings + market data
Browse Wayne retail space →
CityFeet
Retail space for lease
Browse Wayne 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 Passaic 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 420 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.