Schuyler County, NY ZIP codes
There are 13 ZIP codes in Schuyler County, NY, in 13 towns, from 14805 to 14891. The largest are 14891 (Watkins Glen), 14812 (Beaver Dams) and 14865 (Montour Falls). 2 more cross into it from neighbouring counties: 14886 and 14837.
The county seat is Watkins Glen.
- ZIP codes
- 13
- Partly in it
- 2 more
- Towns
- 13
- County seat
- Watkins Glen
- County FIPS
36097- State
- New York
- Population
- 17,562
- Median household income
- $67,663
- Land area
- 328 sq mi
Schuyler County ZIP codes by town
- Watkins Glen (county seat)
- 14891
Each ZIP code is listed under the county most of its land lies in and the town the Postal Service names it for; a ZIP code's own page shows exactly how it is split.
ZIP codes partly in Schuyler County
These ZIP codes lie mostly in a neighbouring county but each cover a twentieth or more of Schuyler County.
- 14837 Dundee · mostly in Yates County
- 14886 Trumansburg · mostly in Tompkins County
Map of Schuyler County ZIP codes
The ZIP codes of Schuyler County, shaded. Outlines are Census ZIP Code Tabulation Areas (2020), which approximate the mail routes; PO-box and single-address codes have no area and are not drawn. Click any area to open its ZIP code.
Schuyler County in numbers
About 17,562 people live in Schuyler County, in 7,355 households, the 61st most populous of New York's 62 counties. The median household income is $67,663 a year, 21% below the New York median of $85,974 (US: $80,734). The median owner-occupied home is valued at $171,800 (59% below the New York median), and median gross rent is $899 a month. The median age is 47.6; 26.4% of adults 25 and over hold a bachelor's degree or higher (40.2% across New York); the average commute takes 24 minutes.
| Population | 17,562 |
|---|---|
| Households | 7,355 |
| Median age | 47.6 |
| Median household income | $67,663 |
| Median home value | $171,800 |
| Median gross rent | $899 |
| Bachelor's degree or higher | 26.4% |
| Mean commute | 24.1 min |
| Population density | 53 / sq mi |
U.S. Census Bureau, American Community Survey 2020–2024 5-year estimates. Survey estimates carry margins of error, wider for small places. Sources and methods.
Largest towns in Schuyler County
| Town | ZIP codes | Population |
|---|---|---|
| Beaver Dams | 1 | 2,954 |
| Montour Falls | 1 | 1,743 |
| Watkins Glen | 1 | 1,725 |
| Alpine | 1 | 801 |
| Hector | 1 | 698 |
| Cayuta | 1 | 687 |
| Bradford | 1 | 678 |
| Rock Stream | 1 | 602 |
| Burdett | 1 | 536 |
| Odessa | 1 | 508 |
Population of the census place of that name where there is one, otherwise of the ZIP codes the Postal Service addresses by it. A town's ZIP codes can reach past the county line.
Neighbouring counties
Counties that share a ZIP code with Schuyler County.
- Tompkins County (15)
- Steuben County (29)
- Chemung County (16)
- Tioga County (14)
- Seneca County (8)
- Yates County (10)
Not sure you are in Schuyler County? What county am I in? answers from your location, near a county line included.
Every ZIP code in Schuyler County, with figures
| ZIP | City | Type | Population | Median income | Median home |
|---|---|---|---|---|---|
14805 | Alpine , NY | Standard | 801 | $65,000 | $148,400 |
14812 | Beaver Dams , NY | Standard | 2,954 | $62,073 | $126,100 |
14815 | Bradford , NY | Standard | 678 | $56,875 | $162,000 |
14818 | Burdett , NY | Standard | 1,878 | $69,107 | $231,900 |
14824 | Cayuta , NY | Standard | 687 | $61,061 | $148,400 |
14841 | Hector , NY | Standard | 698 | $89,821 | $345,500 |
14863 | Mecklenburg , NY | No street area | — | — | — |
14865 | Montour Falls , NY | Standard | 2,421 | $53,846 | $146,600 |
14869 | Odessa , NY | Standard | 982 | $80,481 | $157,200 |
14876 | Reading Center , NY | No street area | — | — | — |
14878 | Rock Stream , NY | Standard | 602 | — | $182,800 |
14887 | Tyrone , NY | No street area | — | — | — |
14891 | Watkins Glen , NY | Standard | 4,561 | $61,875 | $164,700 |
Cite this page
zipcodes.pro. “Schuyler County ZIP codes.” Data release 2026-10-12. Retrieved 2026-10-20. https://zipcodes.pro/state/ny/county/schuyler
Underlying data is public domain or openly licensed — sources, vintages and licences.