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Delaware County, PA — Coffee shops Saturation

How many coffee shops 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. 45 ZIP codes analyzed.

Includes: Coffee shops · Espresso bars · Boba / bubble tea shops · Juice & smoothie bars · Ice cream & frozen yogurt shops. Counted together because official statistics use one 722515 code.

Measured density: Range spans bands — 0.74× the U.S. rate (between 0.74× and 1.02× 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. 29 ZIP cells in this county are withheld, 22 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

Range spans the U.S. rate   Delaware County coffee shops — 74–102% of the U.S. rate

114 coffee shops are counted in Delaware County — 1.6 per 10,000 people present (residents + daytime workers), 74% of the U.S. rate of 2.1.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 6% between 2015 and 2023 (93 → 99). 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 19033 (Folsom), 19064 (Springfield), 19083 (Havertown) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 19026 (Drexel Hill), 19014 (Aston), 19015 (Brookhaven).

BLS QCEW puts the latest county-wide count (2026 Q1) at 131 establishments, the freshest available signal.

Measured density: Delaware County sits at 74% of the U.S. rate for coffee shops. 22 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 74% and 102% of the U.S. rate. Why. The highest measured density is in 19033 and 19064; the lowest measured density is in 19026 and 19014.

This is a supply-side read: it counts existing coffee shops 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.

Coffee shops
114–172
published count; upper bound counts each withheld ZIP cell as 2 (29 cells) (2023)
Per 10,000 present
1.6
residents + daytime workers
U.S. average
2.1
per 10,000 present
County index
0.74×
vs. U.S.
Latest quarter (QCEW)
131
2026 Q1 — county total
Residents
606,361
38 ZIPs with data
Workers
253,670
jobs located in county

Is the area growing?

Population
584,882
Census PEP, July 1 2024
Change since 2020
+1.4%
+8,359 people
Net migration 2024
+3,264
international +5,298, domestic −2,034
Jobs located here
223,574
LODES 2022, −5.1% since 2019

Delaware County had an estimated 584,882 residents on July 1, 2024 — 1.4% more than in 2020 (+8,359). In the latest year it gained 4,344 people: births minus deaths +1,059, international migration +5,298, domestic migration −2,034. Components are published separately and may not sum exactly.

223,574 jobs were located in the county in 2022 (−5.1% since 2019), and 275,483 employed residents lived there (−2.0% 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
19085 Villanova
+27.9%
19073 Newtown Square
+10.9%
19086 Wallingford
+10.1%
ZIP losing residents
2015–19 → 2020–24
Change
19373 Thornton
−51.1%

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
20
no paid employees (2024)
Receipts
$1.4M
published gross receipts
Receipts per business
$68K
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 coffee shops 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 6% since 2015

Number of coffee shops in Delaware 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.

93
2015
90
2018
92
2020
96
2021
92
2022
99
2023

Highest measured density

ZIP
vs. U.S. average
Index
19033 Folsom
252%
19064 Springfield
168%
19083 Havertown
149%
19063 Media
145%
19010 Bryn Mawr
134%
19342 Glen Mills
107%
19073 Newtown Square
107%
19087 Wayne
104%
19061 Marcus Hook
103%
19023 Darby
98%
19078 Ridley Park
98%
19008 Broomall
94%
19082 Upper Darby
82%
19015 Brookhaven
80%
19014 Aston
54%

Lowest measured density

ZIP
vs. U.S. average
Index
19026 Drexel Hill
54%
19014 Aston
54%
19015 Brookhaven
80%
19082 Upper Darby
82%
19008 Broomall
94%
19078 Ridley Park
98%
19023 Darby
98%
19061 Marcus Hook
103%
19087 Wayne
104%
19073 Newtown Square
107%
19342 Glen Mills
107%
19010 Bryn Mawr
134%
19063 Media
145%
19083 Havertown
149%
19064 Springfield
168%
Low measured density is not evidence of opportunity. A ZIP with few coffee shops 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 = coffee shops per 10,000 people present (residents + 0.5×workers) ÷ the U.S. average. 100% = exactly average.

ZIPNeighborhood ResidentsWorkersCoffee shops Per 10kIndexStatus
19033Folsom 8,2612,353 5 5.3 252% Very high density
19064Springfield 25,27711,812 11 3.5 168% High density
19083Havertown 37,5908,005 13 3.1 149% Above average
19063Media 38,17222,175 15 3.0 145% Above average
19010Bryn Mawr 21,82713,086 8 2.8 134% Above average
19342Glen Mills 20,77011,724 6 2.3 107% Above average
19073Newtown Square 21,91518,482 7 2.2 107% Above average
19087Wayne 33,52851,865 13 2.2 104% Above average
19061Marcus Hook 19,8966,290 5 2.2 103% Above average
19023Darby 22,2474,038 5 2.1 98% Below average
19078Ridley Park 11,6835,847 3 2.1 98% Below average
19008Broomall 20,6979,183 5 2.0 94% Below average
19082Upper Darby 41,5419,253 8 1.7 82% Below average
19015Brookhaven 16,4642,571 3 1.7 80% Below average
19014Aston 21,4279,983 3 1.1 54% Below average
19026Drexel Hill 32,7255,264 4 1.1 54% Below average
19013Chester 35,06412,617 0–2 — — Not published
19016Chester —86 0–2 — — Not published
19017Chester Heights 355133 0–2 — — Not published
19018Clifton Heights 23,5054,017 0–2 — — Not published
19022Crum Lynne 4,4824,008 0–2 — — Not published
19028Edgemont —314 0–2 — — Not published
19029Essington 3,9802,325 0–2 — — Not published
19032Folcroft 6,7723,258 0–2 — — Not published
19036Glenolden 13,6682,479 0–2 — — Not published
19037Glen Riddle Lima —108 0–2 — — Not published
19039Gradyville —5 0–2 — — Not published
19043Holmes 3,3171,324 0–2 — — Not published
19050Lansdowne 29,3734,585 0–2 — — Not published
19052Lenni 631239 0–2 — — Not published
19060Garnet Valley 11,5241,331 0–2 — — Not published
19070Morton 6,3591,403 0–2 — — Not published
19074Norwood 5,934450 0–2 — — Not published
19076Prospect Park 6,4411,108 0–2 — — Not published
19079Sharon Hill 8,7453,516 0–2 — — Not published
19081Swarthmore 10,0893,784 0–2 — — Not published
19085Villanova 11,2306,646 0–2 — — Not published
19086Wallingford 12,9301,519 0–2 — — Not published
19094Woodlyn 3,9291,243 0–2 — — Not published
19113Philadelphia 010,160 0–2 — — Not published
19317Chadds Ford 10,8645,229 0–2 — — Not published
19319Cheyney 792210 0–2 — — Not published
19331Concordville —763 0–2 — — Not published
19339Concordville —934 0–2 — — Not published
19373Thornton 2,357315 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 Delaware County and coffee shops

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 722515 — snack & non-alcoholic beverage bars (incl. coffee shops). 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 131 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 (2.10 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.