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Prince George's County, MD — Convenience stores Saturation

How many convenience stores 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. 47 ZIP codes analyzed.

Includes: Convenience stores · Corner stores · Small-format food & fuel marts. Counted together because official statistics use one 445120 code.

Measured density: High density — 1.77× the U.S. rate (between 1.77× and 1.99× 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. 23 ZIP cells in this county are withheld, 11 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

High density   Prince George's County convenience stores — 177–199% of the U.S. rate

176 convenience stores are counted in Prince George's County — 1.6 per 10,000 people present (residents + daytime workers), 177% of the U.S. rate of 0.9.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 52% between 2015 and 2023 (102 → 155). 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 20747 (District Heights), 20746 (Suitland), 20743 (Capitol Heights) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 20772 (Upper Marlboro), 20774 (Upper Marlboro), 20770 (Greenbelt).

Census County Business Patterns (2023) puts the county-wide count at 181 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: Prince George's County sits at 177% of the U.S. rate for convenience stores. 11 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 177% and 199% of the U.S. rate. Why. The highest measured density is in 20747 and 20746; the lowest measured density is in 20772 and 20774.

This is a supply-side read: it counts existing convenience stores 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.

Convenience stores
176–222
published count; upper bound counts each withheld ZIP cell as 2 (23 cells) (2023)
Per 10,000 present
1.6
residents + daytime workers
U.S. average
0.9
per 10,000 present
County index
1.77×
vs. U.S.
Latest year (CBP)
181
2023 — $25M annual payroll
Residents
951,497
35 ZIPs with data
Workers
273,232
jobs located in county

Is the area growing?

Population
966,629
Census PEP, July 1 2024
Change since 2020
+0.1%
+1,231 people
Net migration 2024
+7,059
international +14,960, domestic −7,901
Jobs located here
309,440
LODES 2022, −7.1% since 2019

Prince George's County had an estimated 966,629 residents on July 1, 2024 — 0.1% more than in 2020 (+1,231). In the latest year it gained 10,096 people: births minus deaths +3,064, international migration +14,960, domestic migration −7,901. Components are published separately and may not sum exactly.

309,440 jobs were located in the county in 2022 (−7.1% since 2019), and 413,721 employed residents lived there (−6.2% 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
20613 Brandywine
+25.5%
20772 Upper Marlboro
+19.9%
20740 College Park
+17.5%
ZIP losing residents
2015–19 → 2020–24
Change
20742 College Park
−35.3%

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 convenience stores only combined with vending machine operators, so a convenience-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 convenience stores 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 52% since 2015

Number of convenience stores in Prince George's 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.

102
2015
116
2018
130
2020
140
2021
138
2022
155
2023

Highest measured density

ZIP
vs. U.S. average
Index
20747 District Heights
448%
20746 Suitland
448%
20743 Capitol Heights
425%
20710 Bladensburg
408%
20712 Mount Rainier
337%
20748 Temple Hills
305%
20745 Oxon Hill
275%
20782 Hyattsville
263%
20705 Beltsville
249%
20740 College Park
240%
20707 Laurel
227%
20785 Hyattsville
197%
20613 Brandywine
168%
20783 Hyattsville
167%
20737 Riverdale
166%

Lowest measured density

ZIP
vs. U.S. average
Index
20772 Upper Marlboro
54%
20774 Upper Marlboro
55%
20770 Greenbelt
93%
20721 Bowie
100%
20716 Bowie
121%
20784 Hyattsville
122%
20744 Fort Washington
134%
20706 Lanham
139%
20735 Clinton
155%
20737 Riverdale
166%
20783 Hyattsville
167%
20613 Brandywine
168%
20785 Hyattsville
197%
20707 Laurel
227%
20740 College Park
240%
Low measured density is not evidence of opportunity. A ZIP with few convenience stores 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 = convenience stores per 10,000 people present (residents + 0.5×workers) ÷ the U.S. average. 100% = exactly average.

ZIPNeighborhood ResidentsWorkersConvenience stores Per 10kIndexStatus
20747District Heights 38,3016,386 17 4.1 448% Very high density
20746Suitland 27,1564,360 12 4.1 448% Very high density
20743Capitol Heights 41,09310,475 18 3.9 425% Very high density
20710Bladensburg 9,8011,883 4 3.7 408% Very high density
20712Mount Rainier 9,563359 3 3.1 337% Very high density
20748Temple Hills 40,3385,574 12 2.8 305% Very high density
20745Oxon Hill 28,60514,413 9 2.5 275% Very high density
20782Hyattsville 34,2936,452 9 2.4 263% Very high density
20705Beltsville 28,71330,389 10 2.3 249% High density
20740College Park 36,8478,439 9 2.2 240% High density
20707Laurel 37,27821,683 10 2.1 227% High density
20785Hyattsville 40,06620,052 9 1.8 197% High density
20613Brandywine 17,5903,804 3 1.5 168% High density
20783Hyattsville 50,3334,491 8 1.5 167% High density
20737Riverdale 24,4893,792 4 1.5 166% High density
20735Clinton 37,46410,046 6 1.4 155% High density
20706Lanham 42,61224,760 7 1.3 139% Above average
20744Fort Washington 54,4415,112 7 1.2 134% Above average
20784Hyattsville 33,8314,228 4 1.1 122% Above average
20716Bowie 22,3629,484 3 1.1 121% Above average
20721Bowie 31,0323,651 3 0.9 100% Below average
20770Greenbelt 28,38414,127 3 0.8 93% Below average
20774Upper Marlboro 51,81616,422 3 0.5 55% Below average
20772Upper Marlboro 54,31911,943 3 0.5 54% Below average
20607Accokeek 13,7501,421 0–2 — — Not published
20608Aquasco 69392 0–2 — — Not published
20623Cheltenham 2,76133 0–2 — — Not published
20703Lanham —51 0–2 — — Not published
20704Beltsville —60 0–2 — — Not published
20708Laurel 27,5933,966 0–2 — — Not published
20709Laurel —2 0–2 — — Not published
20715Bowie 26,9159,981 0–2 — — Not published
20718Bowie —75 0–2 — — Not published
20719Bowie —99 0–2 — — Not published
20720Bowie 25,0153,251 0–2 — — Not published
20722Brentwood 6,2641,442 0–2 — — Not published
20725Laurel —465 0–2 — — Not published
20726Laurel —162 0–2 — — Not published
20742College Park 4,350902 0–2 — — Not published
20750Oxon Hill —134 0–2 — — Not published
20762Andrews Air Force Base 3,1301,116 0–2 — — Not published
20768Greenbelt —7 0–2 — — Not published
20769Glenn Dale 6,9471,269 0–2 — — Not published
20771Greenbelt 01,078 0–2 — — Not published
20773Upper Marlboro —35 0–2 — — Not published
20781Hyattsville 13,3527,434 0–2 — — Not published
20787Hyattsville —65 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Beltsville

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 Beltsville retail space →
Crexi
Free listings + market data
Browse Beltsville retail space →
CityFeet
Retail space for lease
Browse Beltsville 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 Prince George's County and convenience stores

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 445120 — convenience retailers. 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: 181 establishments and $25M 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 (0.91 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.