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Macomb County, MI — 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. 41 ZIP codes analyzed.

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

Measured density: Range spans bands — 0.54× the U.S. rate (between 0.54× 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. 28 ZIP cells in this county are withheld, 23 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   Macomb County convenience stores — 54–103% of the U.S. rate

51 convenience stores are counted in Macomb County — 0.5 per 10,000 people present (residents + daytime workers), 54% 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 10% between 2015 and 2023 (30 → 33). 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 48082 (Saint Clair Shores), 48091 (Warren), 48035 (Clinton Township) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 48044 (Macomb), 48313 (Sterling Heights), 48312 (Sterling Heights).

Census County Business Patterns (2023) puts the county-wide count at 79 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: Macomb County sits at 54% of the U.S. rate for convenience stores. 23 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 54% and 103% of the U.S. rate. Why. The highest measured density is in 48082 and 48091; the lowest measured density is in 48044 and 48313.

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
51–107
published count; upper bound counts each withheld ZIP cell as 2 (28 cells) (2023)
Per 10,000 present
0.5
residents + daytime workers
U.S. average
0.9
per 10,000 present
County index
0.54×
vs. U.S.
Latest year (CBP)
79
2023 — $10M annual payroll
Residents
878,672
36 ZIPs with data
Workers
296,871
jobs located in county

Is the area growing?

Population
886,175
Census PEP, July 1 2024
Change since 2020
+0.7%
+5,881 people
Net migration 2024
+7,239
international +5,651, domestic +1,588
Jobs located here
329,207
LODES 2021, −3.8% since 2019

Macomb County had an estimated 886,175 residents on July 1, 2024 — 0.7% more than in 2020 (+5,881). In the latest year it gained 6,904 people: births minus deaths −295, international migration +5,651, domestic migration +1,588. Components are published separately and may not sum exactly.

329,207 jobs were located in the county in 2021 (−3.8% since 2019), and 383,709 employed residents lived there (−7.0% 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→2021 spans the pandemic, so read it as one change, not a trend. The 2022 file for this state is not usable, so 2021 is the latest year shown.

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
48048 New Haven
+42.3%
48021 Eastpointe
+5.1%
48015 Center Line
+2.5%
ZIP losing residents
2015–19 → 2020–24
Change
48096 Ray
−5.8%
48043 Mount Clemens
−5.5%
48045 Harrison Township
−3.7%

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 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 10% since 2015

Number of convenience stores in Macomb 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.

30
2015
35
2018
31
2020
31
2021
38
2022
33
2023

Highest measured density

ZIP
vs. U.S. average
Index
48082 Saint Clair Shores
191%
48091 Warren
144%
48035 Clinton Township
144%
48051 New Baltimore
141%
48089 Warren
136%
48310 Sterling Heights
128%
48093 Warren
109%
48317 Utica
105%
48316 Utica
103%
48066 Roseville
101%
48312 Sterling Heights
92%
48313 Sterling Heights
83%
48044 Macomb
53%

Lowest measured density

ZIP
vs. U.S. average
Index
48044 Macomb
53%
48313 Sterling Heights
83%
48312 Sterling Heights
92%
48066 Roseville
101%
48316 Utica
103%
48317 Utica
105%
48093 Warren
109%
48310 Sterling Heights
128%
48089 Warren
136%
48051 New Baltimore
141%
48035 Clinton Township
144%
48091 Warren
144%
48082 Saint Clair Shores
191%
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
48082Saint Clair Shores 16,0272,243 3 1.7 191% High density
48091Warren 30,69614,540 5 1.3 144% Above average
48035Clinton Township 33,5698,860 5 1.3 144% Above average
48051New Baltimore 17,92210,662 3 1.3 141% Above average
48089Warren 31,85316,743 5 1.2 136% Above average
48310Sterling Heights 43,35415,702 6 1.2 128% Above average
48093Warren 25,01410,301 3 1.0 109% Above average
48317Utica 27,5657,425 3 1.0 105% Above average
48316Utica 28,7846,277 3 0.9 103% Above average
48066Roseville 47,12314,189 5 0.9 101% Above average
48312Sterling Heights 34,40126,478 4 0.8 92% Below average
48313Sterling Heights 34,01510,827 3 0.8 83% Below average
48044Macomb 58,7546,561 3 0.5 53% Below average
48005Armada 5,3251,676 0–2 — — Not published
48015Center Line 8,4633,841 0–2 — — Not published
48021Eastpointe 33,9823,759 0–2 — — Not published
48026Fraser 14,5837,024 0–2 — — Not published
48036Clinton Township 22,5389,018 0–2 — — Not published
48038Clinton Township 44,42216,490 0–2 — — Not published
48042Macomb 33,8755,531 0–2 — — Not published
48043Mount Clemens 15,4299,119 0–2 — — Not published
48045Harrison Township 24,0613,301 0–2 — — Not published
48046Mount Clemens —96 0–2 — — Not published
48047New Baltimore 40,3027,252 0–2 — — Not published
48048New Haven 11,3491,725 0–2 — — Not published
48050New Haven 1,338365 0–2 — — Not published
48062Richmond 9,3852,545 0–2 — — Not published
48065Romeo 11,5974,750 0–2 — — Not published
48080Saint Clair Shores 21,5617,682 0–2 — — Not published
48081Saint Clair Shores 20,5303,560 0–2 — — Not published
48088Warren 22,9913,136 0–2 — — Not published
48090Warren —31,404 0–2 — — Not published
48092Warren 27,37413,932 0–2 — — Not published
48094Washington 20,7362,707 0–2 — — Not published
48095Washington 5,7012,412 0–2 — — Not published
48096Ray 3,778691 0–2 — — Not published
48311Sterling Heights —122 0–2 — — Not published
48314Sterling Heights 21,80313,346 0–2 — — Not published
48315Utica 28,47222,201 0–2 — — Not published
48318Utica —21 0–2 — — Not published
48397Warren —296 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Warren

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 Warren retail space →
Crexi
Free listings + market data
Browse Warren retail space →
CityFeet
Retail space for lease
Browse Warren 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 Macomb 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.

Subscribe to updates (RSS) How these numbers are built →

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: 79 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 (0.91 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.