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Cook County, IL — Bars Saturation

How many bars 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. 186 ZIP codes analyzed.

Includes: Bars & taverns · Pubs & brewpubs (drinking-focused) · Cocktail & wine bars · Taprooms. Counted together because official statistics use one 722410 code.

Measured density: Range spans bands — 1.29× the U.S. rate (between 1.29× and 1.54× 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. 99 ZIP cells in this county are withheld, 79 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

Above the U.S. rate   Cook County bars — 129–154% of the U.S. rate

826 bars are counted in Cook County — 1.3 per 10,000 people present (residents + daytime workers), 129% of the U.S. rate of 1.0.

On the comparable ZIP set (ZIPs with a published count in every year), the total has stayed roughly flat between 2015 and 2023 (760 → 753).

Measured supply density is highest in 60130 (Forest Park), 60622 (Chicago), 60469 (Posen) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 60629 (Chicago), 60623 (Chicago), 60007 (Elk Grove Village).

Census County Business Patterns (2023) puts the county-wide count at 901 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: Cook County sits at 129% of the U.S. rate for bars. 79 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 129% and 154% of the U.S. rate. Why. The highest measured density is in 60130 and 60622; the lowest measured density is in 60629 and 60623.

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

Bars
826–1,024
published count; upper bound counts each withheld ZIP cell as 2 (99 cells) (2023)
Per 10,000 present
1.3
residents + daytime workers
U.S. average
1.0
per 10,000 present
County index
1.29×
vs. U.S.
Latest year (CBP)
901
2023 — $336M annual payroll
Residents
5,132,257
166 ZIPs with data
Workers
2,445,383
jobs located in county

Is the area growing?

Population
5,182,617
Census PEP, July 1 2024
Change since 2020
−1.6%
−84,455 people
Net migration 2024
+30,570
international +67,763, domestic −37,193
Jobs located here
2,616,104
LODES 2022, −1.9% since 2019

Cook County had an estimated 5,182,617 residents on July 1, 2024 — 1.6% fewer than in 2020 (−84,455). In the latest year it gained 40,095 people: births minus deaths +9,459, international migration +67,763, domestic migration −37,193. Components are published separately and may not sum exactly.

2,616,104 jobs were located in the county in 2022 (−1.9% since 2019), and 2,331,664 employed residents lived there (−3.2% 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
60654 Chicago
+28.6%
60605 Chicago
+24.6%
60611 Chicago
+13.5%
ZIP losing residents
2015–19 → 2020–24
Change
60445 Midlothian
−44.7%
60426 Harvey
−16.7%
60827 Riverdale
−13.2%

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 (no paid employees)

Nonemployer businesses
773
no paid employees (2024)
Receipts
$28.9M
published gross receipts
Receipts per business
$37K
gross, not profit

Census Nonemployer Statistics counts businesses with no paid employees — a separate universe from the employer establishments counted above; a business is in one or the other, never both. They are not storefronts by definition: many are home-based, mobile, or part-time.

We show them beside the density index, not inside it. In categories such as nail and beauty salons, child care, and pet care, one-person businesses can outnumber employer establishments, so the employer-only count understates how many businesses exist. That is not evidence of higher demand.

Receipts are gross revenue reported for these businesses — not profit, and not the size of the local market. Census publishes this only at county level, so it is not shown on the ZIP map. See methodology.

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 bars 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 1% since 2015

Number of bars in Cook 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.

760
2015
745
2018
734
2020
730
2021
748
2022
753
2023

Highest measured density

ZIP
vs. U.S. average
Index
60130 Forest Park
730%
60622 Chicago
591%
60469 Posen
532%
60501 Summit Argo
513%
60657 Chicago
481%
60614 Chicago
458%
60613 Chicago
447%
60534 Lyons
437%
60513 Brookfield
427%
60415 Chicago Ridge
425%
60610 Chicago
416%
60647 Chicago
411%
60406 Blue Island
384%
60402 Berwyn
384%
60482 Worth
344%

Lowest measured density

ZIP
vs. U.S. average
Index
60629 Chicago
44%
60623 Chicago
45%
60007 Elk Grove Village
54%
60620 Chicago
58%
60025 Glenview
60%
60090 Wheeling
61%
60617 Chicago
62%
60639 Chicago
65%
60067 Palatine
66%
60612 Chicago
68%
60107 Streamwood
70%
60133 Hanover Park
75%
60462 Orland Park
79%
60608 Chicago
83%
60068 Park Ridge
85%
Low measured density is not evidence of opportunity. A ZIP with few bars 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 ResidentsWorkersBarsIndex
60654Chicago Employment hub 25,75568,006 26 431%
60607Chicago Employment hub 32,39268,600 23 342%
60173Schaumburg Employment hub 13,65052,694 6 149%
60661Chicago Employment hub 11,39864,670 5 113%
60611Chicago Employment hub 37,70589,024 8 96%
60606Chicago Destination 3,840203,655 4 38%
60141Hines Destination 1953,318 0–2 —
60208Evanston Destination 25520,972 0–2 —
60601Chicago Employment hub 15,23583,170 0–2 —
60602Chicago Destination 1,48033,916 0–2 —

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIPNeighborhood ResidentsWorkersBars Per 10kIndexStatus
60165Stone Park 4,4821,140 5 9.9 981% Very high density
60130Forest Park 13,9437,440 13 7.4 730% Very high density
60456Hometown 4,215339 3 6.8 678% Very high density
60622Chicago 54,60925,035 40 6.0 591% Very high density
60469Posen 5,205774 3 5.4 532% Very high density
60501Summit Argo 11,4324,212 7 5.2 513% Very high density
60657Chicago 71,90420,985 40 4.9 481% Very high density
60614Chicago 70,69327,556 39 4.6 458% Very high density
60613Chicago 52,24415,412 27 4.5 447% Very high density
60534Lyons 10,3272,008 5 4.4 437% Very high density
60654Chicago 25,75568,006 26 4.4 431% Very high density
60513Brookfield 19,3433,146 9 4.3 427% Very high density
60415Chicago Ridge 14,0994,484 7 4.3 425% Very high density
60610Chicago 44,88324,563 24 4.2 416% Very high density
60647Chicago 84,74918,625 39 4.1 411% Very high density
60406Blue Island 23,3274,972 10 3.9 384% Very high density
60402Berwyn 63,72112,054 27 3.9 384% Very high density
60482Worth 10,8971,288 4 3.5 344% Very high density
60607Chicago 32,39268,600 23 3.4 342% Very high density
60445Midlothian 14,2686,940 6 3.4 335% Very high density
60458Justice 14,2001,189 5 3.4 335% Very high density
60618Chicago 91,90120,260 33 3.2 321% Very high density
60439Lemont 24,19212,721 9 2.9 292% Very high density
60475Steger 10,035887 3 2.9 284% Very high density
60640Chicago 65,44517,714 21 2.8 280% Very high density
60452Oak Forest 26,7395,281 8 2.7 270% Very high density
60546Riverside 16,3224,686 5 2.7 266% Very high density
60630Chicago 55,4869,520 16 2.7 263% Very high density
60171River Grove 10,4512,096 3 2.6 259% Very high density
60418Crestwood 10,5722,133 3 2.6 256% Very high density
60457Hickory Hills 14,5033,211 4 2.5 246% High density
60642Chicago 21,78921,425 8 2.5 244% High density
60660Chicago 42,72411,098 11 2.3 226% High density
60459Burbank 28,7394,621 7 2.3 224% High density
60626Chicago 49,6627,775 12 2.2 222% High density
60605Chicago 36,21022,820 10 2.1 208% High density
60160Melrose Park 24,54917,614 7 2.1 208% High density
60176Schiller Park 11,3936,458 3 2.1 203% High density
60641Chicago 68,89412,906 15 2.0 197% High density
60634Chicago 73,8859,038 15 1.9 190% High density
60707Elmwood Park 41,1166,357 8 1.8 179% High density
60453Oak Lawn 56,86120,791 12 1.8 177% High density
60643Chicago 45,9429,019 9 1.8 177% High density
60706Harwood Heights 24,2607,647 5 1.8 177% High density
60018Des Plaines 27,95247,694 9 1.7 172% High density
60633Chicago 12,47410,315 3 1.7 169% High density
60053Morton Grove 24,61910,528 5 1.7 166% High density
60411Chicago Heights 52,17515,397 10 1.7 166% High density
60646Chicago 28,7808,214 5 1.5 151% High density
60465Palos Hills 18,0813,499 3 1.5 150% Above average
60616Chicago 54,30824,459 10 1.5 149% Above average
60173Schaumburg 13,65052,694 6 1.5 149% Above average
60804Cicero 82,79714,661 13 1.4 143% Above average
60477Tinley Park 35,97613,621 6 1.4 139% Above average
60455Bridgeview 16,87210,328 3 1.4 135% Above average
60803Alsip 22,10615,497 4 1.3 133% Above average
60625Chicago 76,76012,820 11 1.3 131% Above average
60638Chicago 57,07437,741 10 1.3 131% Above average
60619Chicago 59,5036,093 8 1.3 127% Above average
60164Melrose Park 20,8728,892 3 1.2 117% Above average
60714Niles 30,30524,130 5 1.2 117% Above average
60631Chicago 30,92423,781 5 1.2 116% Above average
60661Chicago 11,39864,670 5 1.1 113% Above average
60609Chicago 62,02818,440 8 1.1 111% Above average
60409Calumet City 35,1007,660 4 1.0 102% Above average
60632Chicago 89,10720,101 10 1.0 100% Below average
60611Chicago 37,70589,024 8 1.0 96% Below average
60076Skokie 32,95319,696 4 0.9 93% Below average
60656Chicago 29,5385,140 3 0.9 93% Below average
60016Des Plaines 60,89817,329 6 0.9 86% Below average
60659Chicago 41,7289,683 4 0.9 85% Below average
60068Park Ridge 38,65015,904 4 0.9 85% Below average
60608Chicago 80,73729,377 8 0.8 83% Below average
60462Orland Park 41,45617,270 4 0.8 79% Below average
60133Hanover Park 36,7326,371 3 0.8 75% Below average
60107Streamwood 38,8866,624 3 0.7 70% Below average
60612Chicago 35,74444,360 4 0.7 68% Below average
60067Palatine 38,20413,951 3 0.7 66% Below average
60639Chicago 84,24015,433 6 0.7 65% Below average
60617Chicago 74,7909,915 5 0.6 62% Below average
60090Wheeling 38,29820,419 3 0.6 61% Below average
60025Glenview 41,68915,355 3 0.6 60% Below average
60620Chicago 64,8717,319 4 0.6 58% Below average
60007Elk Grove Village 32,59244,419 3 0.5 54% Below average
60623Chicago 81,27712,534 4 0.5 45% Far below average
60629Chicago 108,3248,370 5 0.4 44% Far below average
60606Chicago 3,840203,655 4 0.4 38% Far below average
60004Arlington Heights 51,83520,130 0–2 — — Not published
60005Arlington Heights 28,84320,389 0–2 — — Not published
60006Arlington Heights —36 0–2 — — Not published
60008Rolling Meadows 22,80021,481 0–2 — — Not published
60017Des Plaines —170 0–2 — — Not published
60022Glencoe 8,3522,391 0–2 — — Not published
60026Glenview 14,0698,480 0–2 — — Not published
60029Golf 51888 0–2 — — Not published
60043Kenilworth 2,503555 0–2 — — Not published
60056Mount Prospect 55,81817,452 0–2 — — Not published
60062Northbrook 41,40646,099 0–2 — — Not published
60065Northbrook —201 0–2 — — Not published
60070Prospect Heights 15,4961,603 0–2 — — Not published
60074Palatine 36,4608,793 0–2 — — Not published
60077Skokie 28,50120,601 0–2 — — Not published
60078Palatine —40 0–2 — — Not published
60082Techny —184 0–2 — — Not published
60091Wilmette 27,3335,627 0–2 — — Not published
60093Winnetka 19,86710,004 0–2 — — Not published
60104Bellwood 18,2563,868 0–2 — — Not published
60131Franklin Park 18,05417,688 0–2 — — Not published
60141Hines 1953,318 0–2 — — Not published
60153Maywood 23,20111,871 0–2 — — Not published
60154Westchester 16,4369,124 0–2 — — Not published
60155Broadview 7,9066,792 0–2 — — Not published
60159Schaumburg —14 0–2 — — Not published
60161Melrose Park —61 0–2 — — Not published
60162Hillside 8,0847,285 0–2 — — Not published
60163Berkeley 5,1991,517 0–2 — — Not published
60168Schaumburg —27 0–2 — — Not published
60169Hoffman Estates 33,40110,355 0–2 — — Not published
60179Hoffman Estates —1,237 0–2 — — Not published
60192Hoffman Estates 16,4617,007 0–2 — — Not published
60193Schaumburg 40,1469,409 0–2 — — Not published
60194Schaumburg 19,7565,345 0–2 — — Not published
60195Schaumburg 4,3975,331 0–2 — — Not published
60196Schaumburg —3,103 0–2 — — Not published
60201Evanston 43,74425,259 0–2 — — Not published
60202Evanston 32,3417,547 0–2 — — Not published
60203Evanston 4,680390 0–2 — — Not published
60204Evanston —160 0–2 — — Not published
60208Evanston 25520,972 0–2 — — Not published
60301Oak Park 3,4754,793 0–2 — — Not published
60302Oak Park 32,8627,083 0–2 — — Not published
60303Oak Park —20 0–2 — — Not published
60304Oak Park 16,9552,964 0–2 — — Not published
60305River Forest 11,9924,595 0–2 — — Not published
60412Chicago Heights —43 0–2 — — Not published
60419Dolton 20,8252,530 0–2 — — Not published
60422Flossmoor 9,5421,424 0–2 — — Not published
60425Glenwood 8,7141,909 0–2 — — Not published
60426Harvey 23,9067,383 0–2 — — Not published
60428Markham 10,9273,809 0–2 — — Not published
60429Hazel Crest 14,8644,802 0–2 — — Not published
60430Homewood 19,83812,628 0–2 — — Not published
60438Lansing 28,8067,275 0–2 — — Not published
60443Matteson 20,6637,534 0–2 — — Not published
60454Oak Lawn —156 0–2 — — Not published
60461Olympia Fields 4,7613,726 0–2 — — Not published
60463Palos Heights 13,7226,296 0–2 — — Not published
60464Palos Park 9,7731,758 0–2 — — Not published
60466Park Forest 21,4612,093 0–2 — — Not published
60467Orland Park 24,3988,422 0–2 — — Not published
60471Richton Park 12,8481,435 0–2 — — Not published
60472Robbins 4,563217 0–2 — — Not published
60473South Holland 21,22510,974 0–2 — — Not published
60476Thornton 1,940780 0–2 — — Not published
60478Country Club Hills 16,3902,171 0–2 — — Not published
60480Willow Springs 5,388773 0–2 — — Not published
60487Tinley Park 26,0436,646 0–2 — — Not published
60499Bedford Park —77 0–2 — — Not published
60525La Grange 31,32441,056 0–2 — — Not published
60526La Grange Park 13,4591,746 0–2 — — Not published
60558Western Springs 13,4462,222 0–2 — — Not published
60601Chicago 15,23583,170 0–2 — — Not published
60602Chicago 1,48033,916 0–2 — — Not published
60603Chicago 1,29860,606 0–2 — — Not published
60604Chicago 61641,171 0–2 — — Not published
60615Chicago 42,9757,045 0–2 — — Not published
60621Chicago 28,3013,833 0–2 — — Not published
60624Chicago 35,2636,140 0–2 — — Not published
60628Chicago 60,4317,654 0–2 — — Not published
60636Chicago 32,1983,505 0–2 — — Not published
60637Chicago 52,72131,368 0–2 — — Not published
60644Chicago 47,2105,433 0–2 — — Not published
60645Chicago 48,2084,307 0–2 — — Not published
60649Chicago 48,0564,778 0–2 — — Not published
60651Chicago 63,3356,154 0–2 — — Not published
60652Chicago 41,0745,715 0–2 — — Not published
60653Chicago 33,3833,171 0–2 — — Not published
60655Chicago 28,4343,995 0–2 — — Not published
60666Chicago —37,159 0–2 — — Not published
60673Chicago —7 0–2 — — Not published
60680Chicago —80 0–2 — — Not published
60690Chicago —25 0–2 — — Not published
60699Chicago —50 0–2 — — Not published
60712Lincolnwood 13,11210,293 0–2 — — Not published
60805Evergreen Park 19,4206,844 0–2 — — Not published
60827Riverdale 24,7132,241 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Chicago

The numbers above tell you how the market looks. To find a specific storefront, these marketplaces list available retail space for lease.

LoopNet
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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 Cook County and bars

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 722410 — drinking places (alcoholic beverages). 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: 901 establishments and $336M 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 (1.01 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.