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Cook County, IL — Clothing stores Saturation

Name: Clothing stores density by ZIP code in Cook County, IL
Creator: BizGapMap

How many clothing 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. 186 ZIP codes analyzed.

Includes: Family clothing stores · General apparel shops. Counted together because official statistics use one 448140 code.

Measured density: Range spans bands — 0.99× the U.S. rate (between 0.99× and 1.49× 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. 130 ZIP cells in this county are withheld, 110 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 Cook County clothing stores — 99–149% of the U.S. rate

436 clothing stores are counted in Cook County — 0.7 per 10,000 people present (residents + daytime workers), 99% of the U.S. rate of 0.7.

On the comparable ZIP set (ZIPs with a published count in every year), the total has stayed roughly flat between 2015 and 2023 (379 → 381).

Measured supply density is highest in 60415 (Chicago Ridge), 60077 (Skokie), 60018 (Des Plaines) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 60640 (Chicago), 60632 (Chicago), 60634 (Chicago).

Census County Business Patterns (2023) puts the county-wide count at 502 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 99% of the U.S. rate for clothing stores. 110 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 99% and 149% of the U.S. rate. Why. The highest measured density is in 60415 and 60077; the lowest measured density is in 60640 and 60632.

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

Clothing stores

436–696

published count; upper bound counts each withheld ZIP cell as 2 (130 cells) (2023)

Per 10,000 present

0.7

residents + daytime workers

U.S. average

0.7

per 10,000 present

County index

0.99×

vs. U.S.

Latest year (CBP)

502

2023 — $360M 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

Not shown. Census now groups clothing with clothing accessories (NAICS 45811); a family-clothing-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 clothing 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 1% since 2015

Number of clothing stores 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.

379

2015

384

2018

376

2020

375

2021

362

2022

381

2023

Highest measured density

ZIP

vs. U.S. average

Index

60415 Chicago Ridge

1151%

60077 Skokie

857%

60018 Des Plaines

838%

60546 Riverside

775%

60462 Orland Park

693%

60706 Harwood Heights

515%

60428 Markham

338%

60805 Evergreen Park

317%

60160 Melrose Park

304%

60443 Matteson

296%

60192 Hoffman Estates

290%

60659 Chicago

280%

60445 Midlothian

245%

60614 Chicago

223%

60074 Palatine

212%

Lowest measured density

ZIP

vs. U.S. average

Index

60640 Chicago

58%

60632 Chicago

73%

60634 Chicago

74%

60641 Chicago

77%

60639 Chicago

79%

60645 Chicago

86%

60628 Chicago

90%

60617 Chicago

91%

60605 Chicago

91%

60623 Chicago

99%

60477 Tinley Park

101%

60402 Berwyn

104%

60620 Chicago

106%

60626 Chicago

108%

60616 Chicago

109%

Low measured density is not evidence of opportunity. A ZIP with few clothing 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.

ZIP	Neighborhood	Type	Residents	Workers	Clothing stores	Index
60173	Schaumburg	Employment hub	13,650	52,694	33	1194%
60611	Chicago	Employment hub	37,705	89,024	43	757%
60602	Chicago	Destination	1,480	33,916	6	471%
60607	Chicago	Employment hub	32,392	68,600	7	152%
60141	Hines	Destination	195	3,318	0–2	—
60208	Evanston	Destination	255	20,972	0–2	—
60601	Chicago	Employment hub	15,235	83,170	0–2	—
60603	Chicago	Destination	1,298	60,606	0–2	—
60604	Chicago	Destination	616	41,171	0–2	—
60606	Chicago	Destination	3,840	203,655	0–2	—

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIP	Neighborhood	Residents	Workers	Clothing stores	Per 10k	Index	Status
60173	Schaumburg	13,650	52,694	33	8.3	1194%	Very high density
60415	Chicago Ridge	14,099	4,484	13	8.0	1151%	Very high density
60077	Skokie	28,501	20,601	23	5.9	857%	Very high density
60018	Des Plaines	27,952	47,694	30	5.8	838%	Very high density
60546	Riverside	16,322	4,686	10	5.4	775%	Very high density
60611	Chicago	37,705	89,024	43	5.2	757%	Very high density
60462	Orland Park	41,456	17,270	24	4.8	693%	Very high density
60706	Harwood Heights	24,260	7,647	10	3.6	515%	Very high density
60602	Chicago	1,480	33,916	6	3.3	471%	Very high density
60428	Markham	10,927	3,809	3	2.3	338%	Very high density
60805	Evergreen Park	19,420	6,844	5	2.2	317%	Very high density
60160	Melrose Park	24,549	17,614	7	2.1	304%	Very high density
60443	Matteson	20,663	7,534	5	2.0	296%	Very high density
60192	Hoffman Estates	16,461	7,007	4	2.0	290%	Very high density
60659	Chicago	41,728	9,683	9	1.9	280%	Very high density
60445	Midlothian	14,268	6,940	3	1.7	245%	High density
60614	Chicago	70,693	27,556	13	1.5	223%	High density
60074	Palatine	36,460	8,793	6	1.5	212%	High density
60714	Niles	30,305	24,130	6	1.4	205%	High density
60652	Chicago	41,074	5,715	6	1.4	198%	High density
60419	Dolton	20,825	2,530	3	1.4	196%	High density
60053	Morton Grove	24,619	10,528	4	1.3	194%	High density
60657	Chicago	71,904	20,985	11	1.3	193%	High density
60459	Burbank	28,739	4,621	4	1.3	186%	High density
60409	Calumet City	35,100	7,660	5	1.3	186%	High density
60438	Lansing	28,806	7,275	4	1.2	178%	High density
60622	Chicago	54,609	25,035	8	1.2	172%	High density
60647	Chicago	84,749	18,625	11	1.2	169%	High density
60430	Homewood	19,838	12,628	3	1.1	166%	High density
60062	Northbrook	41,406	46,099	7	1.1	157%	High density
60607	Chicago	32,392	68,600	7	1.0	152%	High density
60643	Chicago	45,942	9,019	5	1.0	143%	Above average
60525	La Grange	31,324	41,056	5	1.0	139%	Above average
60642	Chicago	21,789	21,425	3	0.9	134%	Above average
60707	Elmwood Park	41,116	6,357	4	0.9	131%	Above average
60609	Chicago	62,028	18,440	6	0.8	122%	Above average
60004	Arlington Heights	51,835	20,130	5	0.8	117%	Above average
60624	Chicago	35,263	6,140	3	0.8	113%	Above average
60169	Hoffman Estates	33,401	10,355	3	0.8	112%	Above average
60804	Cicero	82,797	14,661	7	0.8	112%	Above average
60056	Mount Prospect	55,818	17,452	5	0.8	112%	Above average
60616	Chicago	54,308	24,459	5	0.8	109%	Above average
60626	Chicago	49,662	7,775	4	0.7	108%	Above average
60620	Chicago	64,871	7,319	5	0.7	106%	Above average
60402	Berwyn	63,721	12,054	5	0.7	104%	Above average
60477	Tinley Park	35,976	13,621	3	0.7	101%	Above average
60623	Chicago	81,277	12,534	6	0.7	99%	Below average
60605	Chicago	36,210	22,820	3	0.6	91%	Below average
60617	Chicago	74,790	9,915	5	0.6	91%	Below average
60628	Chicago	60,431	7,654	4	0.6	90%	Below average
60645	Chicago	48,208	4,307	3	0.6	86%	Below average
60639	Chicago	84,240	15,433	5	0.5	79%	Below average
60641	Chicago	68,894	12,906	4	0.5	77%	Below average
60634	Chicago	73,885	9,038	4	0.5	74%	Below average
60632	Chicago	89,107	20,101	5	0.5	73%	Below average
60640	Chicago	65,445	17,714	3	0.4	58%	Below average
60005	Arlington Heights	28,843	20,389	0–2	—	—	Not published
60006	Arlington Heights	—	36	0–2	—	—	Not published
60007	Elk Grove Village	32,592	44,419	0–2	—	—	Not published
60008	Rolling Meadows	22,800	21,481	0–2	—	—	Not published
60016	Des Plaines	60,898	17,329	0–2	—	—	Not published
60017	Des Plaines	—	170	0–2	—	—	Not published
60022	Glencoe	8,352	2,391	0–2	—	—	Not published
60025	Glenview	41,689	15,355	0–2	—	—	Not published
60026	Glenview	14,069	8,480	0–2	—	—	Not published
60029	Golf	518	88	0–2	—	—	Not published
60043	Kenilworth	2,503	555	0–2	—	—	Not published
60065	Northbrook	—	201	0–2	—	—	Not published
60067	Palatine	38,204	13,951	0–2	—	—	Not published
60068	Park Ridge	38,650	15,904	0–2	—	—	Not published
60070	Prospect Heights	15,496	1,603	0–2	—	—	Not published
60076	Skokie	32,953	19,696	0–2	—	—	Not published
60078	Palatine	—	40	0–2	—	—	Not published
60082	Techny	—	184	0–2	—	—	Not published
60090	Wheeling	38,298	20,419	0–2	—	—	Not published
60091	Wilmette	27,333	5,627	0–2	—	—	Not published
60093	Winnetka	19,867	10,004	0–2	—	—	Not published
60104	Bellwood	18,256	3,868	0–2	—	—	Not published
60107	Streamwood	38,886	6,624	0–2	—	—	Not published
60130	Forest Park	13,943	7,440	0–2	—	—	Not published
60131	Franklin Park	18,054	17,688	0–2	—	—	Not published
60133	Hanover Park	36,732	6,371	0–2	—	—	Not published
60141	Hines	195	3,318	0–2	—	—	Not published
60153	Maywood	23,201	11,871	0–2	—	—	Not published
60154	Westchester	16,436	9,124	0–2	—	—	Not published
60155	Broadview	7,906	6,792	0–2	—	—	Not published
60159	Schaumburg	—	14	0–2	—	—	Not published
60161	Melrose Park	—	61	0–2	—	—	Not published
60162	Hillside	8,084	7,285	0–2	—	—	Not published
60163	Berkeley	5,199	1,517	0–2	—	—	Not published
60164	Melrose Park	20,872	8,892	0–2	—	—	Not published
60165	Stone Park	4,482	1,140	0–2	—	—	Not published
60168	Schaumburg	—	27	0–2	—	—	Not published
60171	River Grove	10,451	2,096	0–2	—	—	Not published
60176	Schiller Park	11,393	6,458	0–2	—	—	Not published
60179	Hoffman Estates	—	1,237	0–2	—	—	Not published
60193	Schaumburg	40,146	9,409	0–2	—	—	Not published
60194	Schaumburg	19,756	5,345	0–2	—	—	Not published
60195	Schaumburg	4,397	5,331	0–2	—	—	Not published
60196	Schaumburg	—	3,103	0–2	—	—	Not published
60201	Evanston	43,744	25,259	0–2	—	—	Not published
60202	Evanston	32,341	7,547	0–2	—	—	Not published
60203	Evanston	4,680	390	0–2	—	—	Not published
60204	Evanston	—	160	0–2	—	—	Not published
60208	Evanston	255	20,972	0–2	—	—	Not published
60301	Oak Park	3,475	4,793	0–2	—	—	Not published
60302	Oak Park	32,862	7,083	0–2	—	—	Not published
60303	Oak Park	—	20	0–2	—	—	Not published
60304	Oak Park	16,955	2,964	0–2	—	—	Not published
60305	River Forest	11,992	4,595	0–2	—	—	Not published
60406	Blue Island	23,327	4,972	0–2	—	—	Not published
60411	Chicago Heights	52,175	15,397	0–2	—	—	Not published
60412	Chicago Heights	—	43	0–2	—	—	Not published
60418	Crestwood	10,572	2,133	0–2	—	—	Not published
60422	Flossmoor	9,542	1,424	0–2	—	—	Not published
60425	Glenwood	8,714	1,909	0–2	—	—	Not published
60426	Harvey	23,906	7,383	0–2	—	—	Not published
60429	Hazel Crest	14,864	4,802	0–2	—	—	Not published
60439	Lemont	24,192	12,721	0–2	—	—	Not published
60452	Oak Forest	26,739	5,281	0–2	—	—	Not published
60453	Oak Lawn	56,861	20,791	0–2	—	—	Not published
60454	Oak Lawn	—	156	0–2	—	—	Not published
60455	Bridgeview	16,872	10,328	0–2	—	—	Not published
60456	Hometown	4,215	339	0–2	—	—	Not published
60457	Hickory Hills	14,503	3,211	0–2	—	—	Not published
60458	Justice	14,200	1,189	0–2	—	—	Not published
60461	Olympia Fields	4,761	3,726	0–2	—	—	Not published
60463	Palos Heights	13,722	6,296	0–2	—	—	Not published
60464	Palos Park	9,773	1,758	0–2	—	—	Not published
60465	Palos Hills	18,081	3,499	0–2	—	—	Not published
60466	Park Forest	21,461	2,093	0–2	—	—	Not published
60467	Orland Park	24,398	8,422	0–2	—	—	Not published
60469	Posen	5,205	774	0–2	—	—	Not published
60471	Richton Park	12,848	1,435	0–2	—	—	Not published
60472	Robbins	4,563	217	0–2	—	—	Not published
60473	South Holland	21,225	10,974	0–2	—	—	Not published
60475	Steger	10,035	887	0–2	—	—	Not published
60476	Thornton	1,940	780	0–2	—	—	Not published
60478	Country Club Hills	16,390	2,171	0–2	—	—	Not published
60480	Willow Springs	5,388	773	0–2	—	—	Not published
60482	Worth	10,897	1,288	0–2	—	—	Not published
60487	Tinley Park	26,043	6,646	0–2	—	—	Not published
60499	Bedford Park	—	77	0–2	—	—	Not published
60501	Summit Argo	11,432	4,212	0–2	—	—	Not published
60513	Brookfield	19,343	3,146	0–2	—	—	Not published
60526	La Grange Park	13,459	1,746	0–2	—	—	Not published
60534	Lyons	10,327	2,008	0–2	—	—	Not published
60558	Western Springs	13,446	2,222	0–2	—	—	Not published
60601	Chicago	15,235	83,170	0–2	—	—	Not published
60603	Chicago	1,298	60,606	0–2	—	—	Not published
60604	Chicago	616	41,171	0–2	—	—	Not published
60606	Chicago	3,840	203,655	0–2	—	—	Not published
60608	Chicago	80,737	29,377	0–2	—	—	Not published
60610	Chicago	44,883	24,563	0–2	—	—	Not published
60612	Chicago	35,744	44,360	0–2	—	—	Not published
60613	Chicago	52,244	15,412	0–2	—	—	Not published
60615	Chicago	42,975	7,045	0–2	—	—	Not published
60618	Chicago	91,901	20,260	0–2	—	—	Not published
60619	Chicago	59,503	6,093	0–2	—	—	Not published
60621	Chicago	28,301	3,833	0–2	—	—	Not published
60625	Chicago	76,760	12,820	0–2	—	—	Not published
60629	Chicago	108,324	8,370	0–2	—	—	Not published
60630	Chicago	55,486	9,520	0–2	—	—	Not published
60631	Chicago	30,924	23,781	0–2	—	—	Not published
60633	Chicago	12,474	10,315	0–2	—	—	Not published
60636	Chicago	32,198	3,505	0–2	—	—	Not published
60637	Chicago	52,721	31,368	0–2	—	—	Not published
60638	Chicago	57,074	37,741	0–2	—	—	Not published
60644	Chicago	47,210	5,433	0–2	—	—	Not published
60646	Chicago	28,780	8,214	0–2	—	—	Not published
60649	Chicago	48,056	4,778	0–2	—	—	Not published
60651	Chicago	63,335	6,154	0–2	—	—	Not published
60653	Chicago	33,383	3,171	0–2	—	—	Not published
60654	Chicago	25,755	68,006	0–2	—	—	Not published
60655	Chicago	28,434	3,995	0–2	—	—	Not published
60656	Chicago	29,538	5,140	0–2	—	—	Not published
60660	Chicago	42,724	11,098	0–2	—	—	Not published
60661	Chicago	11,398	64,670	0–2	—	—	Not published
60666	Chicago	—	37,159	0–2	—	—	Not published
60673	Chicago	—	7	0–2	—	—	Not published
60680	Chicago	—	80	0–2	—	—	Not published
60690	Chicago	—	25	0–2	—	—	Not published
60699	Chicago	—	50	0–2	—	—	Not published
60712	Lincolnwood	13,112	10,293	0–2	—	—	Not published
60803	Alsip	22,106	15,497	0–2	—	—	Not published
60827	Riverdale	24,713	2,241	0–2	—	—	Not published

Scroll the table sideways to see all columns.

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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.

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Methodology & sources

Establishments. U.S. Census ZIP Code Business Patterns (ZBP 2023), NAICS 448140 — family clothing stores. 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: 502 establishments and $360M 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 (0.69 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 →

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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.