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Rockland County, NY — 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. 27 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 — 1.03× the U.S. rate (between 1.03× and 1.07× 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. 7 ZIP cells in this county are withheld, 6 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   Rockland County fast food — 103–107% of the U.S. rate

283 fast food are counted in Rockland County — 6.9 per 10,000 people present (residents + daytime workers), 103% 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 (274 → 279).

Measured supply density is highest in 10994 (West Nyack), 10956 (New City), 10954 (Nanuet) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 10952 (Monsey), 10980 (Stony Point), 10913 (Blauvelt).

BLS QCEW puts the latest county-wide count (2026 Q1) at 256 establishments, the freshest available signal.

Measured density: Rockland County sits at 103% of the U.S. rate for fast food. 6 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 103% and 107% of the U.S. rate. Why. The highest measured density is in 10994 and 10956; the lowest measured density is in 10952 and 10980.

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
283–297
published count; upper bound counts each withheld ZIP cell as 2 (7 cells) (2023)
Per 10,000 present
6.9
residents + daytime workers
U.S. average
6.7
per 10,000 present
County index
1.03×
vs. U.S.
Latest quarter (QCEW)
256
2026 Q1 — county total
Residents
341,883
25 ZIPs with data
Workers
127,769
jobs located in county

Is the area growing?

Population
348,144
Census PEP, July 1 2024
Change since 2020
+3.2%
+10,766 people
Net migration 2024
+438
international +3,537, domestic −3,099
Jobs located here
127,238
LODES 2022, −0.9% since 2019

Rockland County had an estimated 348,144 residents on July 1, 2024 — 3.2% more than in 2020 (+10,766). In the latest year it gained 4,834 people: births minus deaths +4,356, international migration +3,537, domestic migration −3,099. Components are published separately and may not sum exactly.

127,238 jobs were located in the county in 2022 (−0.9% since 2019), and 148,030 employed residents lived there (−0.0% 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
10901 Suffern
+17.6%
10954 Nanuet
+15.5%
10952 Monsey
+14.2%
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
50
no paid employees (2024)
Receipts
$4.0M
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 2% since 2015

Number of fast food in Rockland 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.

274
2015
270
2018
264
2020
284
2021
295
2022
279
2023

Highest measured density

ZIP
vs. U.S. average
Index
10994 West Nyack
356%
10956 New City
147%
10954 Nanuet
144%
10927 Haverstraw
139%
10960 Nyack
132%
10965 Pearl River
131%
10970 Pomona
114%
10923 Garnerville
109%
10920 Congers
106%
10989 Valley Cottage
86%
10901 Suffern
81%
10977 Spring Valley
77%
10983 Tappan
69%
10913 Blauvelt
68%
10980 Stony Point
63%

Lowest measured density

ZIP
vs. U.S. average
Index
10952 Monsey
56%
10980 Stony Point
63%
10913 Blauvelt
68%
10983 Tappan
69%
10977 Spring Valley
77%
10901 Suffern
81%
10989 Valley Cottage
86%
10920 Congers
106%
10923 Garnerville
109%
10970 Pomona
114%
10965 Pearl River
131%
10960 Nyack
132%
10927 Haverstraw
139%
10954 Nanuet
144%
10956 New City
147%
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
10994West Nyack 6,3707,477 24 23.7 356% Very high density
10974Sloatsburg 3,382683 5 13.4 201% High density
10993West Haverstraw 4,8881,455 7 12.5 187% High density
10956New City 31,8987,493 35 9.8 147% Above average
10954Nanuet 26,49511,410 31 9.6 144% Above average
10927Haverstraw 12,3251,161 12 9.3 139% Above average
10960Nyack 15,2515,895 16 8.8 132% Above average
10965Pearl River 15,2068,347 17 8.8 131% Above average
10970Pomona 11,4973,305 10 7.6 114% Above average
10962Orangeburg 4,7679,452 7 7.4 111% Above average
10923Garnerville 9,0691,093 7 7.3 109% Above average
10920Congers 8,4512,962 7 7.0 106% Above average
10989Valley Cottage 9,1872,552 6 5.7 86% Below average
10901Suffern 27,09512,719 18 5.4 81% Below average
10977Spring Valley 71,57123,200 43 5.2 77% Below average
10983Tappan 5,9341,167 3 4.6 69% Below average
10913Blauvelt 5,3432,605 3 4.5 68% Below average
10980Stony Point 13,4141,861 6 4.2 63% Below average
10952Monsey 48,01920,704 22 3.8 56% Below average
10911Bear Mountain 0101 0–2 — — Not published
10931Hillburn 1,319409 0–2 — — Not published
10964Palisades 1,333266 0–2 — — Not published
10968Piermont 2,456365 0–2 — — Not published
10976Sparkill 2,002956 0–2 — — Not published
10982Tallman —287 4 — — Not published
10984Thiells 2,805165 0–2 — — Not published
10986Tomkins Cove 1,80667 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Spring Valley

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 Spring Valley retail space →
Crexi
Free listings + market data
Browse Spring Valley retail space →
CityFeet
Retail space for lease
Browse Spring Valley 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 Rockland 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 256 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.