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Sussex County, DE — 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. 23 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 — 0.96× the U.S. rate (between 0.96× and 1.03× 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. 8 ZIP cells in this county are withheld, 7 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   Sussex County fast food — 96–103% of the U.S. rate

199 fast food are counted in Sussex County — 6.4 per 10,000 people present (residents + daytime workers), 96% 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 27% between 2015 and 2023 (154 → 195). 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 19971 (Rehoboth Beach), 19966 (Millsboro), 19975 (Selbyville) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 19940 (Delmar), 19956 (Laurel), 19950 (Greenwood).

BLS QCEW puts the latest county-wide count (2026 Q1) at 221 establishments, the freshest available signal.

Measured density: Sussex County sits at 96% of the U.S. rate for fast food. 7 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 96% and 103% of the U.S. rate. Why. The highest measured density is in 19971 and 19966; the lowest measured density is in 19940 and 19956.

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
199–215
published count; upper bound counts each withheld ZIP cell as 2 (8 cells) (2023)
Per 10,000 present
6.4
residents + daytime workers
U.S. average
6.7
per 10,000 present
County index
0.96×
vs. U.S.
Latest quarter (QCEW)
221
2026 Q1 — county total
Residents
267,041
22 ZIPs with data
Workers
85,779
jobs located in county

Is the area growing?

Population
271,134
Census PEP, July 1 2024
Change since 2020
+13.6%
+32,480 people
Net migration 2024
+7,893
international +1,386, domestic +6,507
Jobs located here
84,765
LODES 2022, +6.3% since 2019

Sussex County had an estimated 271,134 residents on July 1, 2024 — 13.6% more than in 2020 (+32,480). In the latest year it gained 7,159 people: births minus deaths −782, international migration +1,386, domestic migration +6,507. Components are published separately and may not sum exactly.

84,765 jobs were located in the county in 2022 (+6.3% since 2019), and 99,914 employed residents lived there (+7.7% 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
19945 Frankford
+42.4%
19940 Delmar
+35.2%
19968 Milton
+32.8%
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
43
no paid employees (2024)
Receipts
$2.8M
published gross receipts
Receipts per business
$65K
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 27% since 2015

Number of fast food in Sussex 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.

154
2015
169
2018
184
2020
177
2021
182
2022
195
2023

Highest measured density

ZIP
vs. U.S. average
Index
19971 Rehoboth Beach
272%
19966 Millsboro
106%
19975 Selbyville
103%
19973 Seaford
100%
19963 Milford
98%
19947 Georgetown
97%
19933 Bridgeville
78%
19968 Milton
73%
19958 Lewes
71%
19950 Greenwood
69%
19956 Laurel
60%
19940 Delmar
53%

Lowest measured density

ZIP
vs. U.S. average
Index
19940 Delmar
53%
19956 Laurel
60%
19950 Greenwood
69%
19958 Lewes
71%
19968 Milton
73%
19933 Bridgeville
78%
19947 Georgetown
97%
19963 Milford
98%
19973 Seaford
100%
19975 Selbyville
103%
19966 Millsboro
106%
19971 Rehoboth Beach
272%
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
19944Fenwick Island 636599 4 42.8 641% Very high density
19930Bethany Beach 3,0141,656 13 33.8 507% Very high density
19967Millville 2,376750 5 18.2 272% Very high density
19971Rehoboth Beach 14,88611,062 37 18.1 272% Very high density
19966Millsboro 35,88410,458 29 7.1 106% Above average
19975Selbyville 10,8624,410 9 6.9 103% Above average
19973Seaford 26,8349,140 21 6.7 100% Above average
19963Milford 23,50011,326 19 6.5 98% Below average
19947Georgetown 20,7607,935 16 6.5 97% Below average
19933Bridgeville 10,5971,979 6 5.2 78% Below average
19968Milton 15,4861,835 8 4.9 73% Below average
19958Lewes 31,93812,658 18 4.7 71% Below average
19950Greenwood 7,9181,475 4 4.6 69% Below average
19956Laurel 16,3272,365 7 4.0 60% Below average
19940Delmar 7,5401,741 3 3.6 53% Below average
19931Bethel 3754 0–2 — — Not published
19939Dagsboro 7,4901,113 0–2 — — Not published
19941Ellendale 3,435143 0–2 — — Not published
19945Frankford 9,6401,087 0–2 — — Not published
19951Harbeson 2,2452,300 0–2 — — Not published
19960Lincoln 6,774253 0–2 — — Not published
19969Nassau —22 0–2 — — Not published
19970Ocean View 8,5241,490 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Lewes

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 Lewes retail space →
Crexi
Free listings + market data
Browse Lewes retail space →
CityFeet
Retail space for lease
Browse Lewes 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 Sussex 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 221 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.