Home / Lowest measured density / Limited-service restaurants (fast food) / New York
New York has 48 ZIP codes where published counts of fast food are statistically below the U.S. rate. Coverage is the New York counties on this site, not the whole state. Same filters as the radius search. Census ZBP 2023 + ACS 2024.
Includes: Fast food · Quick-service restaurants · Takeout & delivery counters · Pizza delivery · Sandwich & burger chains. Counted together because official statistics use one 722513 code.
Coverage. Only the New York counties BizGapMap covers, not the whole state. A missing state page means no ZIP there cleared the test — we do not publish an empty list.
Lowest measured density is not evidence of opportunity. A low published count can mean weak demand, no suitable space, commuters spending elsewhere, or businesses with no paid employees that ZBP does not count. Each line is a question to check locally.
False positives. The test is one-sided at 5% with no correction for looking at many ZIPs. Of 434 comparable ZIPs here, about 22 could clear the bar by chance. Small ZIPs rarely reach significance, so “not on this list” does not mean “no gap”.
| ZIP | City | County | Fast food | Expected | Index | Band | ZIP type | Residents | Test |
|---|---|---|---|---|---|---|---|---|---|
| 10605 | White Plains | Westchester County | 5 | 15.8 | 32% | Far below average | Residential | 19,493 | p < 0.01 |
| 10552 | Mount Vernon | Westchester County | 5 | 15.7 | 32% | Far below average | Residential | 22,341 | p < 0.01 |
| 14211 | Buffalo | Erie County | 6 | 17.7 | 34% | Far below average | Residential | 24,663 | p < 0.01 |
| 11030 | Manhasset | Nassau County | 7 | 20.1 | 35% | Far below average | Mixed | 18,051 | p < 0.001 |
| 11233 | Brooklyn | Kings County | 20 | 57.1 | 35% | Far below average | Residential | 81,822 | p < 0.001 |
| 13203 | Syracuse | Onondaga County | 5 | 13.3 | 37% | Far below average | Residential | 16,180 | p < 0.01 |
| 10606 | White Plains | Westchester County | 5 | 13.3 | 38% | Far below average | Residential | 17,341 | p < 0.01 |
| 14617 | Rochester | Monroe County | 6 | 15.6 | 38% | Far below average | Residential | 21,788 | p < 0.01 |
| 13027 | Baldwinsville | Onondaga County | 10 | 25.6 | 39% | Far below average | Residential | 35,088 | p < 0.001 |
| 13205 | Syracuse | Onondaga County | 6 | 13.8 | 43% | Far below average | Residential | 19,137 | p ≈ 0.016 |
| 13215 | Syracuse | Onondaga County | 5 | 10.8 | 46% | Far below average | Residential | 14,751 | p ≈ 0.042 |
| 10580 | Rye | Westchester County | 7 | 14.7 | 48% | Far below average | Residential | 18,391 | p ≈ 0.022 |
| 11239 | Brooklyn | Kings County | 6 | 12.2 | 49% | Far below average | Residential | 16,410 | p ≈ 0.042 |
| 11691 | Far Rockaway | Queens County | 25 | 50.6 | 49% | Far below average | Residential | 69,359 | p < 0.001 |
| 11414 | Howard Beach | Queens County | 11 | 22.0 | 50% | Far below average | Residential | 31,308 | p < 0.01 |
| 14086 | Lancaster | Erie County | 14 | 27.8 | 50% | Below average | Residential | 35,635 | p < 0.01 |
| 11692 | Arverne | Queens County | 8 | 15.7 | 51% | Below average | Residential | 22,734 | p ≈ 0.026 |
| 14534 | Pittsford | Monroe County | 13 | 25.3 | 51% | Below average | Residential | 33,230 | p < 0.01 |
| 14218 | Buffalo | Erie County | 8 | 15.0 | 53% | Below average | Residential | 20,312 | p ≈ 0.038 |
| 10805 | New Rochelle | Westchester County | 8 | 15.0 | 53% | Below average | Residential | 20,903 | p ≈ 0.038 |
| 13088 | Liverpool | Onondaga County | 11 | 20.3 | 54% | Below average | Mixed | 22,073 | p ≈ 0.018 |
| 10703 | Yonkers | Westchester County | 9 | 16.5 | 54% | Below average | Residential | 22,586 | p ≈ 0.033 |
| 11937 | East Hampton | Suffolk County | 9 | 16.4 | 55% | Below average | Residential | 21,882 | p ≈ 0.035 |
| 11235 | Brooklyn | Kings County | 37 | 67.5 | 55% | Below average | Mixed | 78,558 | p < 0.001 |
| 10456 | Bronx | Bronx County | 34 | 61.7 | 55% | Below average | Residential | 87,533 | p < 0.001 |
| 14227 | Buffalo | Erie County | 9 | 16.2 | 56% | Below average | Residential | 20,621 | p ≈ 0.040 |
| 11369 | East Elmhurst | Queens County | 14 | 25.0 | 56% | Below average | Residential | 35,133 | p ≈ 0.012 |
| 10952 | Monsey | Rockland County | 22 | 38.9 | 56% | Below average | Residential | 48,019 | p < 0.01 |
| 11230 | Brooklyn | Kings County | 41 | 71.3 | 58% | Below average | Residential | 86,978 | p < 0.001 |
| 11427 | Queens Village | Queens County | 10 | 17.3 | 58% | Below average | Residential | 24,607 | p ≈ 0.043 |
| 12047 | Cohoes | Albany County | 10 | 17.0 | 59% | Below average | Residential | 23,532 | p ≈ 0.048 |
| 14120 | North Tonawanda | Niagara County | 19 | 32.3 | 59% | Below average | Residential | 44,241 | p < 0.01 |
| 12309 | Schenectady | Schenectady County | 15 | 25.0 | 60% | Below average | Residential | 33,246 | p ≈ 0.022 |
| 10021 | New York | New York County | 28 | 46.3 | 60% | Below average | Mixed | 39,868 | p < 0.01 |
| 11420 | South Ozone Park | Queens County | 21 | 34.4 | 61% | Below average | Residential | 49,415 | p < 0.01 |
| 11413 | Springfield Gardens | Queens County | 20 | 32.2 | 62% | Below average | Residential | 45,965 | p ≈ 0.015 |
| 10460 | Bronx | Bronx County | 26 | 41.7 | 62% | Below average | Residential | 59,396 | p < 0.01 |
| 11219 | Brooklyn | Kings County | 48 | 77.0 | 62% | Below average | Residential | 94,196 | p < 0.001 |
| 10473 | Bronx | Bronx County | 26 | 41.5 | 63% | Below average | Residential | 58,855 | p < 0.01 |
| 11249 | Brooklyn | Kings County | 23 | 36.6 | 63% | Below average | Residential | 47,728 | p ≈ 0.011 |
| 14215 | Buffalo | Erie County | 20 | 31.5 | 63% | Below average | Residential | 42,524 | p ≈ 0.019 |
| 10023 | New York | New York County | 41 | 60.4 | 68% | Below average | Mixed | 69,455 | p < 0.01 |
| 10457 | Bronx | Bronx County | 40 | 57.6 | 69% | Below average | Residential | 79,543 | p < 0.01 |
| 14450 | Fairport | Monroe County | 23 | 32.6 | 71% | Below average | Residential | 42,750 | p ≈ 0.050 |
| 11229 | Brooklyn | Kings County | 43 | 58.8 | 73% | Below average | Residential | 78,377 | p ≈ 0.019 |
| 10950 | Monroe | Orange County | 38 | 51.3 | 74% | Below average | Residential | 68,136 | p ≈ 0.032 |
| 10024 | New York | New York County | 36 | 48.4 | 74% | Below average | Residential | 63,115 | p ≈ 0.039 |
| 10977 | Spring Valley | Rockland County | 43 | 55.5 | 77% | Below average | Residential | 71,571 | p ≈ 0.049 |
Scroll the table sideways to see all columns. Sorted by measured density, lowest first.
Who can be listed. ZIPs in the covered counties whose county has at least 15 ZIPs in our data, with at least 10,000 residents, and at least 5 published businesses in this industry. Census hides counts of 0–2; derived remainders are excluded.
Statistically low. P(X ≤ n | expected) < 0.05, where expected is the U.S. establishments-per-person-present rate times this ZIP’s demand (residents + 0.5 × jobs located here). Same definition as the index, so the percentage and the test cannot disagree. Full test →
ZIP type is jobs per resident, not zoning. A residential ZIP can look low because residents shop near work.
What does “lowest measured density” mean for fast food? A ZIP is listed only when Census published at least 5 fast food with paid employees, the ZIP has at least 10,000 residents, and a one-sided Poisson test finds the count statistically below the U.S. rate (p < 0.05). Index 100% is the national density per person present.
Is a low-density ZIP a place to open this kind of business? No. A low published count of fast food can mean weak demand, no suitable space, residents shopping near work, or businesses with no paid employees that Census ZBP does not count. Each line is a question to check locally, not a recommendation.
Why is a state missing from this list? A state page exists only when at least one ZIP in the counties we cover clears the same test as the radius search. We do not publish an empty list. Coverage is those counties, not the whole state.
← All states for fast food · Fast food in New York (county totals) · Search by radius
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.