BizGapMap

Home / Bars & drinking places / New York / New York County, NY

New York County, NY — 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. 106 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: Very high density — 2.65× the U.S. rate (between 2.65× and 2.74× 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. 70 ZIP cells in this county are withheld, 12 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

Very high density   New York County bars — 265–274% of the U.S. rate

715 bars are counted in New York County — 2.7 per 10,000 people present (residents + daytime workers), 265% of the U.S. rate of 1.0.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 5% between 2015 and 2023 (658 → 693). 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 10014 (New York), 10012 (New York), 10009 (New York) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 10029 (New York), 10032 (New York), 10033 (New York).

Census County Business Patterns (2023) puts the county-wide count at 722 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 265% of the U.S. rate for bars. 12 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 265% and 274% of the U.S. rate. Why. The highest measured density is in 10014 and 10012; the lowest measured density is in 10029 and 10032.

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
715–855
published count; upper bound counts each withheld ZIP cell as 2 (70 cells) (2023)
Per 10,000 present
2.7
residents + daytime workers
U.S. average
1.0
per 10,000 present
County index
2.65×
vs. U.S.
Latest year (CBP)
722
2023 — $557M 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 (no paid employees)

Nonemployer businesses
152
no paid employees (2024)
Receipts
$10.2M
published gross receipts
Receipts per business
$67K
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 — up 5% since 2015

Number of bars 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.

658
2015
679
2018
655
2020
614
2021
649
2022
693
2023

Highest measured density

ZIP
vs. U.S. average
Index
10014 New York
1242%
10012 New York
1115%
10009 New York
774%
10002 New York
680%
10011 New York
483%
10028 New York
243%
10024 New York
205%
10026 New York
178%
10038 New York
171%
10030 New York
129%
10034 New York
124%
10075 New York
116%
10023 New York
109%
10128 New York
106%
10021 New York
100%

Lowest measured density

ZIP
vs. U.S. average
Index
10029 New York
30%
10032 New York
46%
10033 New York
67%
10027 New York
67%
10025 New York
78%
10031 New York
93%
10065 New York
94%
10021 New York
100%
10128 New York
106%
10023 New York
109%
10075 New York
116%
10034 New York
124%
10030 New York
129%
10038 New York
171%
10026 New York
178%
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
10013New York Employment hub 27,21987,697 34 474%
10003New York Employment hub 53,560114,403 52 465%
10001New York Employment hub 30,511173,194 45 381%
10019New York Employment hub 44,942143,809 44 373%
10036New York Employment hub 31,036180,504 44 360%
10016New York Employment hub 52,971106,778 32 298%
10004New York Destination 3,71147,084 7 255%
10010New York Employment hub 30,70273,807 17 249%
10018New York Destination 8,559136,863 19 245%
10007New York Employment hub 7,40652,599 7 206%

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
10014New York 29,23038,935 61 12.5 1242% Very high density
10012New York 21,42642,494 48 11.2 1115% Very high density
10009New York 60,20910,194 51 7.8 774% Very high density
10002New York 76,87329,830 63 6.9 680% Very high density
10011New York 48,27771,791 41 4.9 483% Very high density
10013New York 27,21987,697 34 4.8 474% Very high density
10003New York 53,560114,403 52 4.7 465% Very high density
10001New York 30,511173,194 45 3.8 381% Very high density
10019New York 44,942143,809 44 3.8 373% Very high density
10036New York 31,036180,504 44 3.6 360% Very high density
10016New York 52,971106,778 32 3.0 298% Very high density
10004New York 3,71147,084 7 2.6 255% Very high density
10010New York 30,70273,807 17 2.5 249% High density
10018New York 8,559136,863 19 2.5 245% High density
10028New York 49,07716,300 14 2.4 243% High density
10007New York 7,40652,599 7 2.1 206% High density
10024New York 63,11518,817 15 2.1 205% High density
10005New York 9,43933,398 5 1.9 190% High density
10026New York 37,1233,648 7 1.8 178% High density
10038New York 22,23536,901 7 1.7 171% High density
10022New York 34,049128,349 15 1.5 151% High density
10017New York 15,297153,119 12 1.3 130% Above average
10030New York 29,2972,774 4 1.3 129% Above average
10034New York 37,7584,608 5 1.2 124% Above average
10075New York 21,8977,668 3 1.2 116% Above average
10023New York 69,45542,228 10 1.1 109% Above average
10128New York 57,97615,025 7 1.1 106% Above average
10021New York 39,86859,122 7 1.0 100% Below average
10065New York 30,80843,330 5 1.0 94% Below average
10031New York 61,0585,247 6 0.9 93% Below average
10025New York 93,06516,495 8 0.8 78% Below average
10027New York 63,88548,815 6 0.7 67% Below average
10033New York 54,8389,138 4 0.7 67% Below average
10032New York 55,61019,270 3 0.5 46% Far below average
10029New York 77,44740,237 3 0.3 30% Far below average
10006New York 4,09620,779 0–2 — — Not published
10008New York —542 0–2 — — Not published
10020New York 042,738 4 — — Not published
10035New York 38,8629,707 0–2 — — Not published
10037New York 19,0314,707 0–2 — — Not published
10039New York 32,4921,879 0–2 — — Not published
10040New York 40,0963,624 0–2 — — Not published
10041New York —7,486 0–2 — — Not published
10044New York 11,520868 0–2 — — Not published
10045New York —2,897 0–2 — — Not published
10055New York —2,477 0–2 — — Not published
10069New York 6,509578 0–2 — — Not published
10080New York —123 0–2 — — Not published
10101New York —136 0–2 — — Not published
10103New York 01,004 0–2 — — Not published
10104New York —6,774 0–2 — — Not published
10105New York —4,719 0–2 — — Not published
10106New York —1,581 0–2 — — Not published
10107New York —1,370 0–2 — — Not published
10110New York 03,843 0–2 — — Not published
10111New York 03,889 0–2 — — Not published
10112New York 022,516 0–2 — — Not published
10113New York —10 0–2 — — Not published
10115New York 01,770 0–2 — — Not published
10116New York —56 0–2 — — Not published
10118New York —9,804 0–2 — — Not published
10119New York 08,454 0–2 — — Not published
10120New York —2,583 0–2 — — Not published
10121New York —2,665 0–2 — — Not published
10122New York —1,527 0–2 — — Not published
10123New York —2,473 0–2 — — Not published
10125New York —37 0–2 — — Not published
10150New York —74 0–2 — — Not published
10151New York —857 0–2 — — Not published
10152New York 7786 0–2 — — Not published
10153New York 05,193 0–2 — — Not published
10154New York 08,786 0–2 — — Not published
10155New York —980 0–2 — — Not published
10156New York —28 0–2 — — Not published
10158New York —4,257 0–2 — — Not published
10159New York —5 0–2 — — Not published
10162New York 1,603150 0–2 — — Not published
10163New York —240 0–2 — — Not published
10165New York 04,763 0–2 — — Not published
10166New York —7,137 0–2 — — Not published
10167New York 05,854 0–2 — — Not published
10168New York 02,715 0–2 — — Not published
10169New York 03,237 0–2 — — Not published
10170New York 02,866 0–2 — — Not published
10171New York 01,734 0–2 — — Not published
10172New York 010,935 0–2 — — Not published
10173New York 01,469 0–2 — — Not published
10174New York 02,811 0–2 — — Not published
10175New York —2,039 0–2 — — Not published
10176New York —1,298 0–2 — — Not published
10177New York 02,812 0–2 — — Not published
10178New York —3,397 0–2 — — Not published
10179New York —4,049 0–2 — — Not published
10185New York —2 0–2 — — Not published
10199New York 030 0–2 — — Not published
10268New York —0 0–2 — — Not published
10271New York 06,247 0–2 — — Not published
10272New York —7 0–2 — — Not published
10276New York —2 0–2 — — Not published
10278New York 0544 0–2 — — Not published
10279New York 2591,373 0–2 — — Not published
10280New York 8,9331,067 0–2 — — Not published
10281New York —19,312 0–2 — — Not published
10282New York 5,88712,287 0–2 — — Not published
10285New York —11,647 0–2 — — Not published
10286New 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
Browse New York retail space →
Crexi
Free listings + market data
Browse New York retail space →
CityFeet
Retail space for lease
Browse New York 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 New York 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: 722 establishments and $557M 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.