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Cook County, IL — Dentists Saturation

How many dentists 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: General & family dentists · Orthodontists · Oral surgeons · Other dental specialists. Counted together because official statistics use one 621210 code.

Measured density: Above average — 1.23× the U.S. rate (between 1.23× and 1.27× 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. 54 ZIP cells in this county are withheld, 34 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 dentists — 123–127% of the U.S. rate

2,630 dentists are counted in Cook County — 4.1 per 10,000 people present (residents + daytime workers), 123% of the U.S. rate of 3.4.

On the comparable ZIP set (ZIPs with a published count in every year), the total has fallen 6% between 2015 and 2023 (2,793 → 2,615). 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 60026 (Glenview), 60463 (Palos Heights), 60305 (River Forest) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 60651 (Chicago), 60620 (Chicago), 60637 (Chicago).

BLS QCEW puts the latest county-wide count (2026 Q1) at 2,544 establishments, the freshest available signal.

Measured density: Cook County sits at 123% of the U.S. rate for dentists. 34 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 123% and 127% of the U.S. rate. Why. The highest measured density is in 60026 and 60463; the lowest measured density is in 60651 and 60620.

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

Dentists
2,630–2,738
published count; upper bound counts each withheld ZIP cell as 2 (54 cells) (2023)
Per 10,000 present
4.1
residents + daytime workers
U.S. average
3.4
per 10,000 present
County index
1.23×
vs. U.S.
Latest quarter (QCEW)
2,544
2026 Q1 — county total
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
1,397
no paid employees (2024)
Receipts
$123.1M
published gross receipts
Receipts per business
$88K
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 dentists 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 6% since 2015

Number of dentists 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.

2,793
2015
2,761
2018
2,707
2020
2,681
2021
2,670
2022
2,615
2023

Highest measured density

ZIP
vs. U.S. average
Index
60026 Glenview
554%
60463 Palos Heights
531%
60305 River Forest
439%
60068 Park Ridge
435%
60646 Chicago
354%
60422 Flossmoor
349%
60005 Arlington Heights
336%
60558 Western Springs
328%
60462 Orland Park
328%
60077 Skokie
323%
60467 Orland Park
313%
60067 Palatine
291%
60546 Riverside
288%
60025 Glenview
278%
60194 Schaumburg
266%

Lowest measured density

ZIP
vs. U.S. average
Index
60651 Chicago
13%
60620 Chicago
17%
60637 Chicago
22%
60626 Chicago
28%
60628 Chicago
28%
60803 Alsip
30%
60612 Chicago
36%
60617 Chicago
37%
60018 Des Plaines
46%
60652 Chicago
48%
60804 Cicero
50%
60409 Calumet City
54%
60419 Dolton
54%
60609 Chicago
54%
60415 Chicago Ridge
55%
Low measured density is not evidence of opportunity. A ZIP with few dentists 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 ResidentsWorkersDentistsIndex
60602Chicago Destination 1,48033,916 67 1084%
60607Chicago Employment hub 32,39268,600 44 197%
60611Chicago Employment hub 37,70589,024 54 196%
60173Schaumburg Employment hub 13,65052,694 26 194%
60601Chicago Employment hub 15,23583,170 26 137%
60654Chicago Employment hub 25,75568,006 26 130%
60603Chicago Destination 1,29860,606 10 94%
60661Chicago Employment hub 11,39864,670 13 89%
60604Chicago Destination 61641,171 3 42%
60606Chicago Destination 3,840203,655 8 23%

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIPNeighborhood ResidentsWorkersDentists Per 10kIndexStatus
60602Chicago 1,48033,916 67 36.3 1084% Very high density
60301Oak Park 3,4754,793 20 34.1 1016% Very high density
60043Kenilworth 2,503555 8 28.8 859% Very high density
60026Glenview 14,0698,480 34 18.6 554% Very high density
60463Palos Heights 13,7226,296 30 17.8 531% Very high density
60305River Forest 11,9924,595 21 14.7 439% Very high density
60068Park Ridge 38,65015,904 68 14.6 435% Very high density
60195Schaumburg 4,3975,331 10 14.2 423% Very high density
60461Olympia Fields 4,7613,726 9 13.6 405% Very high density
60646Chicago 28,7808,214 39 11.9 354% Very high density
60422Flossmoor 9,5421,424 12 11.7 349% Very high density
60005Arlington Heights 28,84320,389 44 11.3 336% Very high density
60558Western Springs 13,4462,222 16 11.0 328% Very high density
60462Orland Park 41,45617,270 55 11.0 328% Very high density
60077Skokie 28,50120,601 42 10.8 323% Very high density
60467Orland Park 24,3988,422 30 10.5 313% Very high density
60067Palatine 38,20413,951 44 9.7 291% Very high density
60546Riverside 16,3224,686 18 9.6 288% Very high density
60025Glenview 41,68915,355 46 9.3 278% Very high density
60194Schaumburg 19,7565,345 20 8.9 266% Very high density
60093Winnetka 19,86710,004 21 8.4 252% Very high density
60712Lincolnwood 13,11210,293 15 8.2 245% High density
60076Skokie 32,95319,696 35 8.2 244% High density
60091Wilmette 27,3335,627 24 8.0 238% High density
60482Worth 10,8971,288 9 7.8 233% High density
60453Oak Lawn 56,86120,791 51 7.6 226% High density
60464Palos Park 9,7731,758 8 7.5 224% High density
60004Arlington Heights 51,83520,130 46 7.4 222% High density
60062Northbrook 41,40646,099 47 7.3 218% High density
60430Homewood 19,83812,628 19 7.3 217% High density
60614Chicago 70,69327,556 60 7.1 212% High density
60714Niles 30,30524,130 30 7.1 211% High density
60456Hometown 4,215339 3 6.8 204% High density
60706Harwood Heights 24,2607,647 19 6.8 202% High density
60169Hoffman Estates 33,40110,355 26 6.7 201% High density
60154Westchester 16,4369,124 14 6.7 199% High density
60056Mount Prospect 55,81817,452 43 6.7 199% High density
60607Chicago 32,39268,600 44 6.6 197% High density
60611Chicago 37,70589,024 54 6.6 196% High density
60201Evanston 43,74425,259 37 6.6 196% High density
60657Chicago 71,90420,985 54 6.6 196% High density
60173Schaumburg 13,65052,694 26 6.5 194% High density
60053Morton Grove 24,61910,528 19 6.4 190% High density
60465Palos Hills 18,0813,499 12 6.1 181% High density
60605Chicago 36,21022,820 28 5.9 175% High density
60477Tinley Park 35,97613,621 25 5.8 174% High density
60647Chicago 84,74918,625 54 5.7 171% High density
60622Chicago 54,60925,035 38 5.7 169% High density
60630Chicago 55,4869,520 33 5.5 163% High density
60659Chicago 41,7289,683 25 5.4 160% High density
60513Brookfield 19,3433,146 11 5.3 157% High density
60634Chicago 73,8859,038 41 5.2 156% High density
60525La Grange 31,32441,056 27 5.2 155% High density
60631Chicago 30,92423,781 22 5.1 153% High density
60439Lemont 24,19212,721 15 4.9 147% Above average
60805Evergreen Park 19,4206,844 11 4.8 144% Above average
60193Schaumburg 40,1469,409 21 4.7 140% Above average
60601Chicago 15,23583,170 26 4.6 137% Above average
60707Elmwood Park 41,1166,357 20 4.5 135% Above average
60459Burbank 28,7394,621 14 4.5 135% Above average
60016Des Plaines 60,89817,329 31 4.5 133% Above average
60654Chicago 25,75568,006 26 4.4 130% Above average
60457Hickory Hills 14,5033,211 7 4.3 130% Above average
60616Chicago 54,30824,459 28 4.2 126% Above average
60022Glencoe 8,3522,391 4 4.2 125% Above average
60402Berwyn 63,72112,054 29 4.2 124% Above average
60473South Holland 21,22510,974 11 4.1 123% Above average
60655Chicago 28,4343,995 12 3.9 118% Above average
60302Oak Park 32,8627,083 14 3.8 115% Above average
60613Chicago 52,24415,412 23 3.8 114% Above average
60643Chicago 45,9429,019 19 3.8 112% Above average
60618Chicago 91,90120,260 38 3.7 111% Above average
60202Evanston 32,3417,547 13 3.6 107% Above average
60192Hoffman Estates 16,4617,007 7 3.5 105% Above average
60090Wheeling 38,29820,419 17 3.5 105% Above average
60526La Grange Park 13,4591,746 5 3.5 104% Above average
60074Palatine 36,4608,793 14 3.4 102% Above average
60642Chicago 21,78921,425 11 3.4 101% Above average
60445Midlothian 14,2686,940 6 3.4 101% Above average
60640Chicago 65,44517,714 25 3.4 100% Above average
60160Melrose Park 24,54917,614 11 3.3 98% Below average
60625Chicago 76,76012,820 27 3.2 97% Below average
60455Bridgeview 16,87210,328 7 3.2 95% Below average
60603Chicago 1,29860,606 10 3.2 94% Below average
60610Chicago 44,88324,563 18 3.1 94% Below average
60406Blue Island 23,3274,972 8 3.1 92% Below average
60452Oak Forest 26,7395,281 9 3.1 91% Below average
60641Chicago 68,89412,906 23 3.1 91% Below average
60133Hanover Park 36,7326,371 12 3.0 90% Below average
60008Rolling Meadows 22,80021,481 10 3.0 89% Below average
60131Franklin Park 18,05417,688 8 3.0 89% Below average
60661Chicago 11,39864,670 13 3.0 89% Below average
60007Elk Grove Village 32,59244,419 16 2.9 87% Below average
60656Chicago 29,5385,140 9 2.8 84% Below average
60639Chicago 84,24015,433 25 2.7 81% Below average
60608Chicago 80,73729,377 25 2.6 78% Below average
60171River Grove 10,4512,096 3 2.6 78% Below average
60660Chicago 42,72411,098 12 2.5 74% Below average
60438Lansing 28,8067,275 8 2.5 74% Below average
60623Chicago 81,27712,534 21 2.4 72% Below average
60487Tinley Park 26,0436,646 7 2.4 71% Below average
60164Melrose Park 20,8728,892 6 2.4 71% Below average
60130Forest Park 13,9437,440 4 2.3 68% Below average
60619Chicago 59,5036,093 14 2.2 67% Below average
60471Richton Park 12,8481,435 3 2.2 66% Below average
60645Chicago 48,2084,307 11 2.2 65% Below average
60411Chicago Heights 52,17515,397 13 2.2 65% Below average
60304Oak Park 16,9552,964 4 2.2 65% Below average
60615Chicago 42,9757,045 10 2.2 64% Below average
60107Streamwood 38,8866,624 9 2.1 64% Below average
60632Chicago 89,10720,101 21 2.1 63% Below average
60176Schiller Park 11,3936,458 3 2.1 61% Below average
60638Chicago 57,07437,741 15 2.0 59% Below average
60629Chicago 108,3248,370 21 1.9 56% Below average
60070Prospect Heights 15,4961,603 3 1.8 55% Below average
60415Chicago Ridge 14,0994,484 3 1.8 55% Below average
60609Chicago 62,02818,440 13 1.8 54% Below average
60419Dolton 20,8252,530 4 1.8 54% Below average
60409Calumet City 35,1007,660 7 1.8 54% Below average
60804Cicero 82,79714,661 15 1.7 50% Far below average
60652Chicago 41,0745,715 7 1.6 48% Far below average
60018Des Plaines 27,95247,694 8 1.5 46% Far below average
60604Chicago 61641,171 3 1.4 42% Far below average
60617Chicago 74,7909,915 10 1.3 37% Far below average
60612Chicago 35,74444,360 7 1.2 36% Far below average
60803Alsip 22,10615,497 3 1.0 30% Far below average
60628Chicago 60,4317,654 6 0.9 28% Far below average
60626Chicago 49,6627,775 5 0.9 28% Far below average
60606Chicago 3,840203,655 8 0.8 23% Far below average
60637Chicago 52,72131,368 5 0.7 22% Far below average
60620Chicago 64,8717,319 4 0.6 17% Far below average
60651Chicago 63,3356,154 3 0.5 13% Far below average
60006Arlington Heights —36 0–2 — — Not published
60017Des Plaines —170 0–2 — — Not published
60029Golf 51888 0–2 — — Not published
60065Northbrook —201 0–2 — — Not published
60078Palatine —40 0–2 — — Not published
60082Techny —184 0–2 — — Not published
60104Bellwood 18,2563,868 0–2 — — Not published
60141Hines 1953,318 0–2 — — Not published
60153Maywood 23,20111,871 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
60165Stone Park 4,4821,140 0–2 — — Not published
60168Schaumburg —27 0–2 — — Not published
60179Hoffman Estates —1,237 0–2 — — Not published
60196Schaumburg —3,103 0–2 — — Not published
60203Evanston 4,680390 0–2 — — Not published
60204Evanston —160 0–2 — — Not published
60208Evanston 25520,972 0–2 — — Not published
60303Oak Park —20 0–2 — — Not published
60412Chicago Heights —43 0–2 — — Not published
60418Crestwood 10,5722,133 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
60443Matteson 20,6637,534 0–2 — — Not published
60454Oak Lawn —156 0–2 — — Not published
60458Justice 14,2001,189 0–2 — — Not published
60466Park Forest 21,4612,093 0–2 — — Not published
60469Posen 5,205774 0–2 — — Not published
60472Robbins 4,563217 0–2 — — Not published
60475Steger 10,035887 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
60499Bedford Park —77 0–2 — — Not published
60501Summit Argo 11,4324,212 0–2 — — Not published
60534Lyons 10,3272,008 0–2 — — Not published
60621Chicago 28,3013,833 0–2 — — Not published
60624Chicago 35,2636,140 0–2 — — Not published
60633Chicago 12,47410,315 0–2 — — Not published
60636Chicago 32,1983,505 0–2 — — Not published
60644Chicago 47,2105,433 0–2 — — Not published
60649Chicago 48,0564,778 0–2 — — Not published
60653Chicago 33,3833,171 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
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.

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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 dentists

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 621210 — offices of dentists. 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 2,544 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 (3.35 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.