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Philadelphia County, PA — Car washes Saturation

How many car washes 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. 54 ZIP codes analyzed.

Includes: Car wash tunnels & bays · Self-serve & automatic washes · Detailing (wash-attached). Counted together because official statistics use one 811192 code.

Measured density: Range spans bands — 0.13× the U.S. rate (between 0.13× and 1.06× 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. 51 ZIP cells in this county are withheld, 44 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   Philadelphia County car washes — 13–106% of the U.S. rate

12 car washes are counted in Philadelphia County — 0.1 per 10,000 people present (residents + daytime workers), 13% of the U.S. rate of 0.5.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 29% between 2015 and 2023 (7 → 9). 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 19124 (Philadelphia), 19154 (Philadelphia), 19149 (Philadelphia) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 19149 (Philadelphia), 19154 (Philadelphia), 19124 (Philadelphia).

Census County Business Patterns (2023) puts the county-wide count at 43 establishments, including locations in ZIP codes that do not map to a ZCTA — so it can run slightly above the sum of the ZIP rows on this page. It is annual, so it lags more than QCEW.

Measured density: Philadelphia County sits at 13% of the U.S. rate for car washes. 44 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 13% and 106% of the U.S. rate. Why. The highest measured density is in 19124 and 19154; the lowest measured density is in 19149 and 19154.

This is a supply-side read: it counts existing car washes 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.

Car washes
12–114
published count; upper bound counts each withheld ZIP cell as 2 (51 cells) (2023)
Per 10,000 present
0.1
residents + daytime workers
U.S. average
0.5
per 10,000 present
County index
0.13×
vs. U.S.
Latest year (CBP)
43
2023 — $10M annual payroll
Residents
1,580,199
47 ZIPs with data
Workers
690,182
jobs located in county

Is the area growing?

Population
1,573,916
Census PEP, July 1 2024
Change since 2020
−1.7%
−26,872 people
Net migration 2024
+5,989
international +21,321, domestic −15,332
Jobs located here
720,974
LODES 2022, −1.4% since 2019

Philadelphia County had an estimated 1,573,916 residents on July 1, 2024 — 1.7% fewer than in 2020 (−26,872). In the latest year it gained 10,567 people: births minus deaths +4,645, international migration +21,321, domestic migration −15,332. Components are published separately and may not sum exactly.

720,974 jobs were located in the county in 2022 (−1.4% since 2019), and 644,369 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
19121 Philadelphia
+28.4%
19144 Philadelphia
+15.3%
ZIP losing residents
2015–19 → 2020–24
Change
19134 Philadelphia
−13.7%

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

Not shown. Census publishes only a broader group that also includes oil-change and other auto service shops, so a car-wash-only nonemployer count is not published.

Census Nonemployer Statistics 2024 (NAICS 2022). We do not approximate this figure.

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.

Basemap:
Under 50% 50–100% 100–150% 150–250% 250%+ 0–2 (not published) / no data ZIP total (dot size)

Map data © OpenStreetMap contributors, tiles by OpenFreeMap.

White dots are ZIP totals from the official Census count — the bigger the dot, the more car washes in that ZIP.

Market trend — up 29% since 2015

Number of car washes in Philadelphia 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.

7
2015
6
2018
9
2020
10
2021
9
2022
9
2023

Highest measured density

ZIP
vs. U.S. average
Index
19124 Philadelphia
158%
19154 Philadelphia
148%
19149 Philadelphia
102%

Lowest measured density

ZIP
vs. U.S. average
Index
19149 Philadelphia
102%
19154 Philadelphia
148%
19124 Philadelphia
158%
Low measured density is not evidence of opportunity. A ZIP with few car washes 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.

Employment hubs & destinations

These ZIPs have far more workers (or visitors) than residents, so their counts are driven by daytime and visitor demand — not a place to read "shortage" from resident numbers alone.

ZIPNeighborhoodType ResidentsWorkersCar washesIndex
19102Philadelphia Employment hub 6,19525,541 0–2 —
19103Philadelphia Employment hub 25,900100,835 0–2 —
19107Philadelphia Employment hub 14,82549,221 0–2 —

Scroll the table sideways to see all columns.

All ZIP codes

Click a column header to sort. Index = car washes per 10,000 people present (residents + 0.5×workers) ÷ the U.S. average. 100% = exactly average.

ZIPNeighborhood ResidentsWorkersCar washes Per 10kIndexStatus
19124Philadelphia 71,00413,411 6 0.8 158% High density
19154Philadelphia 33,79615,359 3 0.7 148% Above average
19149Philadelphia 56,9145,944 3 0.5 102% Above average
19019Philadelphia —497 0–2 — — Not published
19101Philadelphia —197 0–2 — — Not published
19102Philadelphia 6,19525,541 0–2 — — Not published
19103Philadelphia 25,900100,835 0–2 — — Not published
19104Philadelphia 55,172106,374 0–2 — — Not published
19105Philadelphia —44 0–2 — — Not published
19106Philadelphia 14,59724,084 0–2 — — Not published
19107Philadelphia 14,82549,221 0–2 — — Not published
19108Philadelphia 154241 0–2 — — Not published
19109Philadelphia 01,873 0–2 — — Not published
19110Philadelphia —1,185 0–2 — — Not published
19111Philadelphia 66,28311,917 0–2 — — Not published
19112Philadelphia 08,750 0–2 — — Not published
19114Philadelphia 30,41117,816 0–2 — — Not published
19115Philadelphia 35,2798,543 0–2 — — Not published
19116Philadelphia 33,65410,865 0–2 — — Not published
19118Philadelphia 9,9784,599 0–2 — — Not published
19119Philadelphia 28,3564,012 0–2 — — Not published
19120Philadelphia 66,4697,777 0–2 — — Not published
19121Philadelphia 41,5743,106 0–2 — — Not published
19122Philadelphia 25,43918,394 0–2 — — Not published
19123Philadelphia 19,68123,272 0–2 — — Not published
19125Philadelphia 25,1408,017 0–2 — — Not published
19126Philadelphia 17,4832,435 0–2 — — Not published
19127Philadelphia 5,6642,263 0–2 — — Not published
19128Philadelphia 38,0397,304 0–2 — — Not published
19129Philadelphia 11,9374,043 0–2 — — Not published
19130Philadelphia 30,1169,905 0–2 — — Not published
19131Philadelphia 43,77614,470 0–2 — — Not published
19132Philadelphia 33,0063,822 0–2 — — Not published
19133Philadelphia 24,8645,300 0–2 — — Not published
19134Philadelphia 53,59414,238 0–2 — — Not published
19135Philadelphia 33,8035,544 0–2 — — Not published
19136Philadelphia 36,2625,790 0–2 — — Not published
19137Philadelphia 8,0264,385 0–2 — — Not published
19138Philadelphia 30,8212,419 0–2 — — Not published
19139Philadelphia 43,0906,211 0–2 — — Not published
19140Philadelphia 53,38514,289 0–2 — — Not published
19141Philadelphia 32,38511,455 0–2 — — Not published
19142Philadelphia 28,8292,044 0–2 — — Not published
19143Philadelphia 62,5724,167 0–2 — — Not published
19144Philadelphia 50,58010,536 0–2 — — Not published
19145Philadelphia 43,4409,285 0–2 — — Not published
19146Philadelphia 41,0587,401 0–2 — — Not published
19147Philadelphia 39,70410,874 0–2 — — Not published
19148Philadelphia 50,40033,959 0–2 — — Not published
19150Philadelphia 24,3042,511 0–2 — — Not published
19151Philadelphia 33,2672,195 0–2 — — Not published
19152Philadelphia 35,9558,473 0–2 — — Not published
19153Philadelphia 13,01825,536 0–2 — — Not published
19192Philadelphia —512 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Philadelphia

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 Philadelphia retail space →
Crexi
Free listings + market data
Browse Philadelphia retail space →
CityFeet
Retail space for lease
Browse Philadelphia 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 Philadelphia County and car washes

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.

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Methodology & sources

Establishments. U.S. Census ZIP Code Business Patterns (ZBP 2023), NAICS 811192 — car washes. Counts establishments with paid employees. ZBP is published annually with a ~2-year lag.

Fresh county signal. This industry has no clean QCEW series, so the freshest county signal is Census County Business Patterns 2023: 43 establishments and $10M in annual payroll county-wide. This count includes locations in ZIP codes that do not map to a ZCTA, so it can be slightly higher than the sum of the ZIP rows. CBP is annual and slower than QCEW. 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 (0.49 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.