Zip code 14537: Port Gibson, New York
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 14537
14537 is a small-town zip code in Port Gibson, New York (Ontario County), covering 0.7 sq mi of land. About 210 people live here, or 303 per square mile. The median resident is 49.1 years old, compared with 38.9 nationally. With so few residents, the Census figures below are rough estimates with wide margins of error.
0% of residents live below the poverty line (U.S.: 12.5%). The median home value is $157,200. 100% of occupied homes are lived in by their owners.
11% of adults hold a bachelor's degree or higher (U.S.: 36%). Commuters average 26.9 minutes each way, and 10% of workers work from home. The most common jobs among working residents are in transportation and moving goods; sales; and office and administrative support.
How 14537 compares
Only about 210 people live here, so these survey estimates have wide margins of error.
- 99thStrengthU.S. 65.2% · NY 54.3%34th of 1,673 in NY
- Broadband access100%99thStrengthU.S. 91% · NY 90.8%57th of 1,673 in NY
- Median age49.194thU.S. 38.9 · NY 39.8408th of 1,693 in NY
- Per capita income$59,82384thStrengthU.S. $44,673 · NY $50,712337th of 1,690 in NY
- 83rdU.S. 17.2% · NY 17.9%650th of 1,693 in NY
- Median earnings per worker$58,75073rdU.S. $49,666 · NY $55,321540th of 1,676 in NY
- Average commute26.9 min55thU.S. 26.4 min · NY 32.6 min844th of 1,618 in NY
- 52ndU.S. 14.1% · NY 22.8%529th of 1,693 in NY
- Work from home10.1%35thU.S. 15.1% · NY 14.9%980th of 1,685 in NY
- Population density303/sq mi26thU.S. 95/sq mi · NY 421/sq mi756th of 1,693 in NY
- Median home value$157,20011thU.S. $332,700 · NY $423,8001,286th of 1,614 in NY
- 11thStrengthU.S. 0.483 · NY 0.5171,264th of 1,669 in NY
- 4thWeaknessU.S. 35.7% · NY 40.2%1,599th of 1,691 in NY
- 2ndU.S. 61.4 · NY 65.51,498th of 1,693 in NY
- 2ndU.S. 14.5% · NY 16.4%1,597th of 1,685 in NY
- Population2101stU.S. 334,922,499 · NY 19,852,3661,610th of 1,693 in NY
- 1stStrengthU.S. 12.5% · NY 14%1,645th of 1,679 in NY
- 1stStrengthU.S. 5.2% · NY 6.4%1,605th of 1,685 in NY
- 1stStrengthU.S. 8.4% · NY 5.1%1,623rd of 1,689 in NY
- Veterans0%1stU.S. 6.2% · NY 3.7%1,667th of 1,693 in NY
- 1stU.S. 10.1% · NY 10%1,641st of 1,675 in NY
- 1stU.S. 22% · NY 20.5%1,680th of 1,693 in NY
- 1stU.S. 3.8% · NY 3.5%1,535th of 1,685 in NY
- 1stU.S. 9.7% · NY 11.8%1,645th of 1,685 in NY
- 1stU.S. 10% · NY 9.7%1,650th of 1,685 in NY
| Measure | 14537 | Ontario | NY | U.S. | National percentile | Rank in NY |
|---|---|---|---|---|---|---|
| Homeownership rateStrength | 100% | 73.7% | 54.3% | 65.2% | 34th of 1,673 | |
| Broadband accessStrength | 100% | 91.3% | 90.8% | 91% | 57th of 1,673 | |
| Median age | 49.1 | 44.2 | 39.8 | 38.9 | 408th of 1,693 | |
| Per capita incomeStrength | $59,823 | $46,303 | $50,712 | $44,673 | 337th of 1,690 | |
| Residents 65 and older | 21.9% | 22.2% | 17.9% | 17.2% | 650th of 1,693 | |
| Median earnings per worker | $58,750 | $51,939 | $55,321 | $49,666 | 540th of 1,676 | |
| Average commute | 26.9 min | 22.3 min | 32.6 min | 26.4 min | 844th of 1,618 | |
| Foreign-born residents | 10.5% | 4.4% | 22.8% | 14.1% | 529th of 1,693 | |
| Work from home | 10.1% | 13.6% | 14.9% | 15.1% | 980th of 1,685 | |
| Population density | 303/sq mi | 175/sq mi | 421/sq mi | 95/sq mi | 756th of 1,693 | |
| Median home value | $157,200 | $222,900 | $423,800 | $332,700 | 1,286th of 1,614 | |
| Income inequality (Gini)Strength | 0.382 | 0.442 | 0.517 | 0.483 | 1,264th of 1,669 | |
| Bachelor's degree or higherWeakness | 11.3% | 38% | 40.2% | 35.7% | 1,599th of 1,691 | |
| Diversity index | 7.3 | 24 | 65.5 | 61.4 | 1,498th of 1,693 | |
| Government workers | 6% | 16.2% | 16.4% | 14.5% | 1,597th of 1,685 | |
| Population | 210 | 112,625 | 19,852,366 | 334,922,499 | 1,610th of 1,693 | |
| Poverty rateStrength | 0% | 9% | 14% | 12.5% | 1,645th of 1,679 | |
| Unemployment rateStrength | 0% | 3.7% | 6.4% | 5.2% | 1,605th of 1,685 | |
| Uninsured rateStrength | 0% | 3.3% | 5.1% | 8.4% | 1,623rd of 1,689 | |
| Veterans | 0% | 7% | 3.7% | 6.2% | 1,667th of 1,693 | |
| Housing vacancy | 0% | 9.5% | 10% | 10.1% | 1,641st of 1,675 | |
| Residents under 18 | 0% | 19.2% | 20.5% | 22% | 1,680th of 1,693 | |
| Tech workers | 0% | 2.4% | 3.5% | 3.8% | 1,535th of 1,685 | |
| Healthcare workers | 0% | 11.2% | 11.8% | 9.7% | 1,645th of 1,685 | |
| Self-employed workers | 0% | 10.4% | 9.7% | 10% | 1,650th of 1,685 |
The percentile is the share of Americans who live in a zip code with a lower value, so the 50th percentile is typical. Rank 1 is the highest value in the state. Both include zip codes with at least 100 residents. Strengths and weaknesses mark measures in the best or worst fifth nationally, where higher or lower is clearly better (income, poverty, education, commute, broadband, insurance and similar). Measures like age or density are left unmarked.
People
Age
Race and ethnicity
- White96%
- Black0%
- Hispanic0%
- Asian0%
- Native American0%
- Pacific Islander0%
- Other0%
- Multiracial4%
Language spoken at home (households)
Households
- Households
- 124
- Average household size
- 1.7
- Family households
- 49.2%
- Married couples
- 49.2%
- Living alone
- 50.8%
- Veterans (of adults)
- 0%
- Male / female
- 62% / 38%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 124
- Owner-occupied
- 100%
- Vacant
- 0%
- Median year built
- 1939 or earlier
- Median rooms
- 6.1
- Renters paying 30%+ of income
- —
- Renters paying 50%+ of income
- —
- Home value to income
- —
Work and commute
How people get to work
Commute time (one way)
Jobs and careers
Occupations
Industries
Median earnings by type of work
| Type of work | 14537 | U.S. |
|---|---|---|
| Management, business, science and arts | — | $74,888 |
| Service | — | $26,804 |
| Sales and office | $60,556 | $40,476 |
| Construction and maintenance | — | $49,199 |
| Production and transportation | $82,955 | $39,989 |
Education, internet and health coverage
Highest education (adults 25+)
- High school graduate or higher
- 78%
- Bachelor's degree or higher
- 11.3%
- Graduate or professional degree
- 0%
- Households with broadband
- 100%
- Cable, fiber or DSL
- 68.5%
- No internet access
- 0%
- Without health insurance
- 0%
- Limited-English households
- 0%
Geography
- City (USPS)
- Port Gibson
- State
- New York
- County
- Ontario County
- Center point
- 43.0353° N, 77.1560° W
- Land area
- 0.7 sq mi
- Water area
- under 0.1 sq mi
- Time zone
- Eastern Time (UTC-5, UTC-4 in summer)
- Zip type
- Residential delivery area
Cities and towns within this zip
- Port Gibson (unincorporated)100% of zip
Census places overlapping the zip's area. Mail may use a different city name than the municipality.
Zip codes near 14537
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 14522 | Palmyra, NY | 3.7 mi | $75,116 |
| 14513 | Newark, NY | 4 mi | $65,309 |
| 14432 | Clifton Springs, NY | 5.6 mi | $78,017 |
| 14504 | Manchester, NY | 6 mi | $65,750 |
| 14548 | Shortsville, NY | 6.1 mi | $83,571 |
| 14532 | Phelps, NY | 8 mi | $81,923 |
| 14505 | Marion, NY | 8.6 mi | $80,382 |
| 14489 | Lyons, NY | 9 mi | $68,250 |
| 14425 | Farmington, NY | 9.7 mi | $94,609 |
| 14502 | Macedon, NY | 10 mi | $83,330 |
| 14568 | Walworth, NY | 10 mi | $102,604 |
| 14518 | Oaks Corners, NY · PO box | 10 mi | — |
Questions about 14537
What city is zip code 14537?
14537 is assigned to Port Gibson, New York. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 14537 in?
14537 is in Ontario County, New York.
What is the population of 14537?
About 210 people live in 14537, according to the Census Bureau's American Community Survey.
What time zone is 14537 in?
14537 is in Eastern Time.
What zip codes are near 14537?
The closest zip codes to 14537 are 14522, 14513, 14432, 14504, 14548.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 14537, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.