Home / Family clothing stores / New York / New York County, NY

New York County, NY — Clothing stores Saturation

Name: Clothing stores density by ZIP code in New York County, NY
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. 106 ZIP codes analyzed.

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

Measured density: High density — 1.83× the U.S. rate (between 1.83× and 2.03× 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. 75 ZIP cells in this county are withheld, 18 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

High density New York County clothing stores — 183–203% of the U.S. rate

345 clothing stores are counted in New York County — 1.3 per 10,000 people present (residents + daytime workers), 183% of the U.S. rate of 0.7.

On the comparable ZIP set (ZIPs with a published count in every year), the total has fallen 19% between 2015 and 2023 (381 → 310). 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 10012 (New York), 10014 (New York), 10021 (New York) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 10024 (New York), 10128 (New York), 10032 (New York).

Census County Business Patterns (2023) puts the county-wide count at 356 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: New York County sits at 183% of the U.S. rate for clothing stores. 18 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 183% and 203% of the U.S. rate. Why. The highest measured density is in 10012 and 10014; the lowest measured density is in 10024 and 10128.

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

345–495

published count; upper bound counts each withheld ZIP cell as 2 (75 cells) (2023)

Per 10,000 present

1.3

residents + daytime workers

U.S. average

0.7

per 10,000 present

County index

1.83×

vs. U.S.

Latest year (CBP)

356

2023 — $654M annual payroll

Residents

1,619,224

47 ZIPs with data

Workers

2,072,276

jobs located in county

Is the area growing?

Population

1,660,664

Census PEP, July 1 2024

Change since 2020

−1.1%

−18,938 people

Net migration 2024

+24,881

international +30,106, domestic −5,225

Jobs located here

2,404,397

LODES 2022, −5.7% since 2019

New York County had an estimated 1,660,664 residents on July 1, 2024 — 1.1% fewer than in 2020 (−18,938). In the latest year it gained 27,435 people: births minus deaths +2,588, international migration +30,106, domestic migration −5,225. Components are published separately and may not sum exactly.

2,404,397 jobs were located in the county in 2022 (−5.7% since 2019), and 755,931 employed residents lived there (−7.1% 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

10001 New York

+26.5%

10023 New York

+11.1%

ZIP losing residents

2015–19 → 2020–24

Change

10032 New York

−12.0%

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 — down 19% since 2015

Number of clothing stores in New York 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.

381

2015

362

2018

337

2020

321

2021

314

2022

310

2023

Highest measured density

ZIP

vs. U.S. average

Index

10012 New York

2068%

10014 New York

475%

10021 New York

271%

10075 New York

225%

10027 New York

213%

10065 New York

193%

10002 New York

189%

10011 New York

189%

10038 New York

178%

10028 New York

177%

10033 New York

170%

10023 New York

128%

10035 New York

99%

10031 New York

91%

10032 New York

89%

Lowest measured density

ZIP

vs. U.S. average

Index

10024 New York

60%

10128 New York

88%

10032 New York

89%

10031 New York

91%

10035 New York

99%

10023 New York

128%

10033 New York

170%

10028 New York

177%

10038 New York

178%

10011 New York

189%

10002 New York

189%

10065 New York

193%

10027 New York

213%

10075 New York

225%

10021 New York

271%

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
10013	New York	Employment hub	27,219	87,697	22	448%
10001	New York	Employment hub	30,511	173,194	31	383%
10018	New York	Destination	8,559	136,863	16	301%
10022	New York	Employment hub	34,049	128,349	18	265%
10007	New York	Employment hub	7,406	52,599	5	215%
10010	New York	Employment hub	30,702	73,807	9	193%
10003	New York	Employment hub	53,560	114,403	14	183%
10019	New York	Employment hub	44,942	143,809	13	161%
10004	New York	Destination	3,711	47,084	3	159%
10036	New York	Employment hub	31,036	180,504	10	119%

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
10012	New York	21,426	42,494	61	14.3	2068%	Very high density
10014	New York	29,230	38,935	16	3.3	475%	Very high density
10013	New York	27,219	87,697	22	3.1	448%	Very high density
10001	New York	30,511	173,194	31	2.6	383%	Very high density
10018	New York	8,559	136,863	16	2.1	301%	Very high density
10021	New York	39,868	59,122	13	1.9	271%	Very high density
10022	New York	34,049	128,349	18	1.8	265%	Very high density
10075	New York	21,897	7,668	4	1.6	225%	High density
10007	New York	7,406	52,599	5	1.5	215%	High density
10027	New York	63,885	48,815	13	1.5	213%	High density
10065	New York	30,808	43,330	7	1.3	193%	High density
10010	New York	30,702	73,807	9	1.3	193%	High density
10002	New York	76,873	29,830	12	1.3	189%	High density
10011	New York	48,277	71,791	11	1.3	189%	High density
10003	New York	53,560	114,403	14	1.3	183%	High density
10038	New York	22,235	36,901	5	1.2	178%	High density
10028	New York	49,077	16,300	7	1.2	177%	High density
10033	New York	54,838	9,138	7	1.2	170%	High density
10019	New York	44,942	143,809	13	1.1	161%	High density
10004	New York	3,711	47,084	3	1.1	159%	High density
10023	New York	69,455	42,228	8	0.9	128%	Above average
10036	New York	31,036	180,504	10	0.8	119%	Above average
10017	New York	15,297	153,119	7	0.8	110%	Above average
10035	New York	38,862	9,707	3	0.7	99%	Below average
10031	New York	61,058	5,247	4	0.6	91%	Below average
10032	New York	55,610	19,270	4	0.6	89%	Below average
10128	New York	57,976	15,025	4	0.6	88%	Below average
10016	New York	52,971	106,778	6	0.6	82%	Below average
10024	New York	63,115	18,817	3	0.4	60%	Below average
10005	New York	9,439	33,398	0–2	—	—	Not published
10006	New York	4,096	20,779	0–2	—	—	Not published
10008	New York	—	542	0–2	—	—	Not published
10009	New York	60,209	10,194	0–2	—	—	Not published
10020	New York	0	42,738	0–2	—	—	Not published
10025	New York	93,065	16,495	0–2	—	—	Not published
10026	New York	37,123	3,648	0–2	—	—	Not published
10029	New York	77,447	40,237	0–2	—	—	Not published
10030	New York	29,297	2,774	0–2	—	—	Not published
10034	New York	37,758	4,608	0–2	—	—	Not published
10037	New York	19,031	4,707	0–2	—	—	Not published
10039	New York	32,492	1,879	0–2	—	—	Not published
10040	New York	40,096	3,624	0–2	—	—	Not published
10041	New York	—	7,486	0–2	—	—	Not published
10044	New York	11,520	868	0–2	—	—	Not published
10045	New York	—	2,897	0–2	—	—	Not published
10055	New York	—	2,477	0–2	—	—	Not published
10069	New York	6,509	578	0–2	—	—	Not published
10080	New York	—	123	0–2	—	—	Not published
10101	New York	—	136	0–2	—	—	Not published
10103	New York	0	1,004	0–2	—	—	Not published
10104	New York	—	6,774	0–2	—	—	Not published
10105	New York	—	4,719	0–2	—	—	Not published
10106	New York	—	1,581	0–2	—	—	Not published
10107	New York	—	1,370	0–2	—	—	Not published
10110	New York	0	3,843	4	—	—	Not published
10111	New York	0	3,889	0–2	—	—	Not published
10112	New York	0	22,516	0–2	—	—	Not published
10113	New York	—	10	0–2	—	—	Not published
10115	New York	0	1,770	0–2	—	—	Not published
10116	New York	—	56	0–2	—	—	Not published
10118	New York	—	9,804	0–2	—	—	Not published
10119	New York	0	8,454	0–2	—	—	Not published
10120	New York	—	2,583	0–2	—	—	Not published
10121	New York	—	2,665	0–2	—	—	Not published
10122	New York	—	1,527	0–2	—	—	Not published
10123	New York	—	2,473	0–2	—	—	Not published
10125	New York	—	37	0–2	—	—	Not published
10150	New York	—	74	0–2	—	—	Not published
10151	New York	—	857	0–2	—	—	Not published
10152	New York	7	786	0–2	—	—	Not published
10153	New York	0	5,193	0–2	—	—	Not published
10154	New York	0	8,786	0–2	—	—	Not published
10155	New York	—	980	0–2	—	—	Not published
10156	New York	—	28	0–2	—	—	Not published
10158	New York	—	4,257	0–2	—	—	Not published
10159	New York	—	5	0–2	—	—	Not published
10162	New York	1,603	150	0–2	—	—	Not published
10163	New York	—	240	0–2	—	—	Not published
10165	New York	0	4,763	0–2	—	—	Not published
10166	New York	—	7,137	0–2	—	—	Not published
10167	New York	0	5,854	0–2	—	—	Not published
10168	New York	0	2,715	0–2	—	—	Not published
10169	New York	0	3,237	0–2	—	—	Not published
10170	New York	0	2,866	0–2	—	—	Not published
10171	New York	0	1,734	0–2	—	—	Not published
10172	New York	0	10,935	0–2	—	—	Not published
10173	New York	0	1,469	0–2	—	—	Not published
10174	New York	0	2,811	0–2	—	—	Not published
10175	New York	—	2,039	0–2	—	—	Not published
10176	New York	—	1,298	0–2	—	—	Not published
10177	New York	0	2,812	0–2	—	—	Not published
10178	New York	—	3,397	0–2	—	—	Not published
10179	New York	—	4,049	0–2	—	—	Not published
10185	New York	—	2	0–2	—	—	Not published
10199	New York	0	30	0–2	—	—	Not published
10268	New York	—	0	0–2	—	—	Not published
10271	New York	0	6,247	0–2	—	—	Not published
10272	New York	—	7	0–2	—	—	Not published
10276	New York	—	2	0–2	—	—	Not published
10278	New York	0	544	0–2	—	—	Not published
10279	New York	259	1,373	0–2	—	—	Not published
10280	New York	8,933	1,067	0–2	—	—	Not published
10281	New York	—	19,312	5	—	—	Not published
10282	New York	5,887	12,287	0–2	—	—	Not published
10285	New York	—	11,647	0–2	—	—	Not published
10286	New York	—	5,288	0–2	—	—	Not published

Scroll the table sideways to see all columns.

Find an actual space in New York

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

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CityFeet

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.

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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: 356 establishments and $654M 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.