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Palm Beach County, FL — Gas stations Saturation

How many gas stations 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. 73 ZIP codes analyzed.

Includes: Gas stations with a convenience store · Fuel + mart locations. Counted together because official statistics use one 447110 code.

Measured density: Range spans bands — 0.52× the U.S. rate (between 0.52× and 0.60× 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. 39 ZIP cells in this county are withheld, 18 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   Palm Beach County gas stations — 52–60% of the U.S. rate

227 gas stations are counted in Palm Beach County — 1.2 per 10,000 people present (residents + daytime workers), 52% of the U.S. rate of 2.4.

On the comparable ZIP set (ZIPs with a published count in every year), the total has fallen 18% between 2015 and 2023 (250 → 206). 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 33403 (West Palm Beach), 33408 (North Palm Beach), 33406 (West Palm Beach) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 33414 (Wellington), 33437 (Boynton Beach), 33487 (Boca Raton).

Census County Business Patterns (2023) puts the county-wide count at 252 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: Palm Beach County sits at 52% of the U.S. rate for gas stations. 18 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 52% and 60% of the U.S. rate. Why. The highest measured density is in 33403 and 33408; the lowest measured density is in 33414 and 33437.

This is a supply-side read: it counts existing gas stations 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.

Gas stations
227–305
published count; upper bound counts each withheld ZIP cell as 2 (39 cells) (2023)
Per 10,000 present
1.2
residents + daytime workers
U.S. average
2.4
per 10,000 present
County index
0.52×
vs. U.S.
Latest year (CBP)
252
2023 — $65M annual payroll
Residents
1,539,829
52 ZIPs with data
Workers
591,843
jobs located in county

Is the area growing?

Population
1,582,055
Census PEP, July 1 2024
Change since 2020
+5.9%
+87,779 people
Net migration 2024
+25,279
international +32,825, domestic −7,546
Jobs located here
655,726
LODES 2022, +5.1% since 2019

Palm Beach County had an estimated 1,582,055 residents on July 1, 2024 — 5.9% more than in 2020 (+87,779). In the latest year it gained 24,574 people: births minus deaths −590, international migration +32,825, domestic migration −7,546. Components are published separately and may not sum exactly.

655,726 jobs were located in the county in 2022 (+5.1% since 2019), and 616,064 employed residents lived there (+2.9% 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
33470 Loxahatchee
+30.4%
33496 Boca Raton
+18.0%
33401 West Palm Beach
+17.5%
ZIP losing residents
2015–19 → 2020–24
Change
33449 Lake Worth
−28.9%
33430 Belle Glade
−14.6%
33493 South Bay
−6.8%

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 gasoline stations only as a broader 2022 grouping (NAICS 4571) that also includes other fuel retailers, so a convenience-store-gas-station-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. 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 gas stations 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 — down 18% since 2015

Number of gas stations in Palm Beach 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.

250
2015
236
2018
240
2020
219
2021
214
2022
206
2023

Highest measured density

ZIP
vs. U.S. average
Index
33403 West Palm Beach
179%
33408 North Palm Beach
144%
33406 West Palm Beach
117%
33409 West Palm Beach
115%
33405 West Palm Beach
110%
33404 West Palm Beach
107%
33467 Lake Worth
93%
33483 Delray Beach
90%
33461 Lake Worth
84%
33434 Boca Raton
82%
33411 West Palm Beach
80%
33407 West Palm Beach
77%
33462 Lake Worth
77%
33470 Loxahatchee
76%
33430 Belle Glade
76%

Lowest measured density

ZIP
vs. U.S. average
Index
33414 Wellington
30%
33437 Boynton Beach
32%
33487 Boca Raton
36%
33415 West Palm Beach
36%
33458 Jupiter
37%
33446 Delray Beach
39%
33435 Boynton Beach
41%
33460 Lake Worth Beach
41%
33496 Boca Raton
41%
33445 Delray Beach
42%
33484 Delray Beach
44%
33444 Delray Beach
46%
33436 Boynton Beach
49%
33401 West Palm Beach
49%
33432 Boca Raton
54%
Low measured density is not evidence of opportunity. A ZIP with few gas stations 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 = gas stations per 10,000 people present (residents + 0.5×workers) ÷ the U.S. average. 100% = exactly average.

ZIPNeighborhood ResidentsWorkersGas stations Per 10kIndexStatus
33403West Palm Beach 14,3708,902 8 4.3 179% High density
33408North Palm Beach 18,81715,232 9 3.4 144% Above average
33406West Palm Beach 26,94511,139 9 2.8 117% Above average
33409West Palm Beach 33,48920,782 12 2.7 115% Above average
33405West Palm Beach 19,7806,540 6 2.6 110% Above average
33404West Palm Beach 30,91217,173 10 2.5 107% Above average
33467Lake Worth 58,41110,464 14 2.2 93% Below average
33483Delray Beach 12,66912,056 4 2.1 90% Below average
33461Lake Worth 49,44311,830 11 2.0 84% Below average
33434Boca Raton 21,6867,926 5 1.9 82% Below average
33411West Palm Beach 76,86325,543 17 1.9 80% Below average
33407West Palm Beach 34,85128,241 9 1.8 77% Below average
33462Lake Worth 33,37110,412 7 1.8 77% Below average
33470Loxahatchee 35,6106,409 7 1.8 76% Below average
33430Belle Glade 19,7964,953 4 1.8 76% Below average
33431Boca Raton 24,60840,534 8 1.8 75% Below average
33426Boynton Beach 24,25519,702 6 1.8 74% Below average
33463Lake Worth 65,4788,565 11 1.6 66% Below average
33410Palm Beach Gardens 36,75928,286 8 1.6 66% Below average
33432Boca Raton 21,83418,726 4 1.3 54% Below average
33401West Palm Beach 33,69835,260 6 1.2 49% Far below average
33436Boynton Beach 48,7436,165 6 1.2 49% Far below average
33444Delray Beach 22,7379,739 3 1.1 46% Far below average
33484Delray Beach 26,2085,719 3 1.0 44% Far below average
33445Delray Beach 33,12213,316 4 1.0 42% Far below average
33496Boca Raton 26,5797,951 3 1.0 41% Far below average
33460Lake Worth Beach 37,7956,192 4 1.0 41% Far below average
33435Boynton Beach 37,8336,642 4 1.0 41% Far below average
33446Delray Beach 28,4317,556 3 0.9 39% Far below average
33458Jupiter 55,51224,086 6 0.9 37% Far below average
33415West Palm Beach 54,5816,586 5 0.9 36% Far below average
33487Boca Raton 20,71728,319 3 0.9 36% Far below average
33437Boynton Beach 37,2294,681 3 0.8 32% Far below average
33414Wellington 60,18418,752 5 0.7 30% Far below average
33402West Palm Beach —743 0–2 — — Not published
33412West Palm Beach 15,8592,367 0–2 — — Not published
33413West Palm Beach 18,6684,509 0–2 — — Not published
33416West Palm Beach —131 0–2 — — Not published
33417West Palm Beach 38,0795,025 0–2 — — Not published
33418Palm Beach Gardens 43,67614,521 0–2 — — Not published
33419West Palm Beach —13 0–2 — — Not published
33420West Palm Beach —86 0–2 — — Not published
33421Royal Palm Beach —28 0–2 — — Not published
33422West Palm Beach —54 0–2 — — Not published
33424Boynton Beach —138 0–2 — — Not published
33425Boynton Beach —117 0–2 — — Not published
33427Boca Raton —16 0–2 — — Not published
33428Boca Raton 47,5887,945 0–2 — — Not published
33429Boca Raton —48 0–2 — — Not published
33433Boca Raton 47,00510,058 0–2 — — Not published
33438Canal Point 257103 0–2 — — Not published
33448Delray Beach —16 0–2 — — Not published
33449Lake Worth 8,7662,126 0–2 — — Not published
33454Greenacres —32 0–2 — — Not published
33465Lake Worth —39 0–2 — — Not published
33466Lake Worth —19 0–2 — — Not published
33468Jupiter —122 0–2 — — Not published
33469Jupiter 14,6864,793 0–2 — — Not published
33472Boynton Beach 18,8855,342 0–2 — — Not published
33473Boynton Beach 11,825756 0–2 — — Not published
33474Boynton Beach —151 0–2 — — Not published
33476Pahokee 7,413930 0–2 — — Not published
33477Jupiter 12,9087,972 0–2 — — Not published
33478Jupiter 14,7316,202 0–2 — — Not published
33480Palm Beach 10,92411,088 0–2 — — Not published
33481Boca Raton —22 0–2 — — Not published
33482Delray Beach —47 0–2 — — Not published
33486Boca Raton 23,2329,818 0–2 — — Not published
33488Boca Raton —95 0–2 — — Not published
33493South Bay 5,1581,445 0–2 — — Not published
33497Boca Raton —18 0–2 — — Not published
33498Boca Raton 16,8532,464 0–2 — — Not published
33499Boca Raton —40 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Boca Raton

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 Boca Raton retail space →
Crexi
Free listings + market data
Browse Boca Raton retail space →
CityFeet
Retail space for lease
Browse Boca Raton 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 Palm Beach County and gas stations

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 447110 — gasoline stations with convenience stores. 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: 252 establishments and $65M 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 (2.37 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.