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Lake County, IL — Grocery stores Saturation

How many grocery 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. 32 ZIP codes analyzed.

Includes: Supermarkets · Grocery stores · Neighborhood food markets. Counted together because official statistics use one 445110 code.

Measured density: Above average — 1.06× the U.S. rate (between 1.06× and 1.17× 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. 11 ZIP cells in this county are withheld, 8 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   Lake County grocery stores — 106–117% of the U.S. rate

152 grocery stores are counted in Lake County — 1.6 per 10,000 people present (residents + daytime workers), 106% of the U.S. rate of 1.6.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 32% between 2015 and 2023 (99 → 131). 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 60040 (Highwood), 60096 (Winthrop Harbor), 60085 (Waukegan) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 60010 (Barrington), 60046 (Lake Villa), 60030 (Grayslake).

BLS QCEW puts the latest county-wide count (2026 Q1) at 117 establishments, the freshest available signal.

Measured density: Lake County sits at 106% of the U.S. rate for grocery stores. 8 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 106% and 117% of the U.S. rate. Why. The highest measured density is in 60040 and 60096; the lowest measured density is in 60010 and 60046.

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

Grocery stores
152–174
published count; upper bound counts each withheld ZIP cell as 2 (11 cells) (2023)
Per 10,000 present
1.6
residents + daytime workers
U.S. average
1.6
per 10,000 present
County index
1.06×
vs. U.S.
Latest quarter (QCEW)
117
2026 Q1 — county total
Residents
747,565
29 ZIPs with data
Workers
351,156
jobs located in county

Is the area growing?

Population
718,604
Census PEP, July 1 2024
Change since 2020
+0.7%
+5,178 people
Net migration 2024
+2,696
international +7,297, domestic −4,601
Jobs located here
325,899
LODES 2022, −2.5% since 2019

Lake County had an estimated 718,604 residents on July 1, 2024 — 0.7% more than in 2020 (+5,178). In the latest year it gained 4,397 people: births minus deaths +1,664, international migration +7,297, domestic migration −4,601. Components are published separately and may not sum exactly.

325,899 jobs were located in the county in 2022 (−2.5% since 2019), and 328,007 employed residents lived there (−1.0% 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
60088 Great Lakes
+12.4%
60089 Buffalo Grove
+4.5%
60047 Lake Zurich
+3.8%
ZIP losing residents
2015–19 → 2020–24
Change
60096 Winthrop Harbor
−3.1%

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

Not shown. Census publishes grocery stores only combined with convenience stores in this dataset, so a grocery-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 grocery 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 32% since 2015

Number of grocery stores in Lake 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.

99
2015
106
2018
108
2020
108
2021
110
2022
131
2023

Highest measured density

ZIP
vs. U.S. average
Index
60040 Highwood
323%
60096 Winthrop Harbor
286%
60085 Waukegan
257%
60020 Fox Lake
213%
60060 Mundelein
173%
60047 Lake Zurich
172%
60073 Round Lake
130%
60089 Buffalo Grove
118%
60099 Zion
116%
60031 Gurnee
109%
60002 Antioch
95%
60084 Wauconda
94%
60087 Waukegan
88%
60015 Deerfield
85%
60048 Libertyville
82%

Lowest measured density

ZIP
vs. U.S. average
Index
60010 Barrington
35%
60046 Lake Villa
53%
60030 Grayslake
64%
60061 Vernon Hills
70%
60035 Highland Park
71%
60045 Lake Forest
77%
60048 Libertyville
82%
60015 Deerfield
85%
60087 Waukegan
88%
60084 Wauconda
94%
60002 Antioch
95%
60031 Gurnee
109%
60099 Zion
116%
60089 Buffalo Grove
118%
60073 Round Lake
130%
Low measured density is not evidence of opportunity. A ZIP with few grocery 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.

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 ResidentsWorkersGrocery storesIndex
60064North Chicago Employment hub 14,88440,951 0–2 —
60069Lincolnshire Employment hub 8,50221,611 0–2 —

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIPNeighborhood ResidentsWorkersGrocery stores Per 10kIndexStatus
60040Highwood 5,3011,344 3 5.0 323% Very high density
60096Winthrop Harbor 6,527416 3 4.5 286% Very high density
60085Waukegan 72,34120,283 33 4.0 257% Very high density
60020Fox Lake 10,9702,216 4 3.3 213% High density
60060Mundelein 37,34414,510 12 2.7 173% High density
60047Lake Zurich 44,24023,400 15 2.7 172% High density
60073Round Lake 62,86812,728 14 2.0 130% Above average
60089Buffalo Grove 42,87223,178 10 1.8 118% Above average
60099Zion 30,8814,769 6 1.8 116% Above average
60031Gurnee 37,10720,055 8 1.7 109% Above average
60002Antioch 24,2325,446 4 1.5 95% Below average
60084Wauconda 17,1926,872 3 1.5 94% Below average
60087Waukegan 27,2934,119 4 1.4 88% Below average
60015Deerfield 28,09634,678 6 1.3 85% Below average
60048Libertyville 29,12420,246 5 1.3 82% Below average
60045Lake Forest 21,07424,318 4 1.2 77% Below average
60035Highland Park 30,39811,671 4 1.1 71% Below average
60061Vernon Hills 27,97417,493 4 1.1 70% Below average
60030Grayslake 35,7928,202 4 1.0 64% Below average
60046Lake Villa 34,6134,048 3 0.8 53% Below average
60010Barrington 45,74719,028 3 0.5 35% Far below average
60011Barrington —255 0–2 — — Not published
60037Fort Sheridan —13 0–2 — — Not published
60041Ingleside 9,0241,109 0–2 — — Not published
60042Island Lake 8,347816 0–2 — — Not published
60044Lake Bluff 10,3125,424 0–2 — — Not published
60064North Chicago 14,88440,951 0–2 — — Not published
60069Lincolnshire 8,50221,611 0–2 — — Not published
60075Russell 12965 0–2 — — Not published
60079Waukegan —66 0–2 — — Not published
60083Wadsworth 9,9811,254 0–2 — — Not published
60088Great Lakes 14,400906 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in North Chicago

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 North Chicago retail space →
Crexi
Free listings + market data
Browse North Chicago retail space →
CityFeet
Retail space for lease
Browse North Chicago 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 Lake County and grocery 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 445110 — supermarkets & other grocery stores. 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 117 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 (1.55 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.