Zip code 11965: Shelter Island Heights, New York
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 11965
11965 is a small-town zip code in Shelter Island Heights, New York (Suffolk County), covering 2.7 sq mi of land. About 404 people live here, or 147 per square mile. The median resident is 61.6 years old, compared with 38.9 nationally. With so few residents, the Census figures below are rough estimates with wide margins of error.
22.3% of residents live below the poverty line (U.S.: 12.5%). The median home value is $1,113,600. 100% of occupied homes are lived in by their owners.
84% of adults hold a bachelor's degree or higher (U.S.: 36%). The most common jobs among working residents are in office and administrative support; computer and math (tech); and engineering and science. 28% of them are self-employed (U.S.: 10%).
How 11965 compares
Only about 404 people live here, so these survey estimates have wide margins of error.
- Median age61.699thU.S. 38.9 · NY 39.861st of 1,693 in NY
- 99thStrengthU.S. 35.7% · NY 40.2%30th of 1,691 in NY
- 99thStrengthU.S. 65.2% · NY 54.3%49th of 1,673 in NY
- Work from home47.3%99thU.S. 15.1% · NY 14.9%21st of 1,685 in NY
- Housing vacancy64.9%99thU.S. 10.1% · NY 10%53rd of 1,675 in NY
- 99thU.S. 17.2% · NY 17.9%51st of 1,693 in NY
- Tech workers18.6%99thU.S. 3.8% · NY 3.5%8th of 1,685 in NY
- 99thU.S. 10% · NY 9.7%77th of 1,685 in NY
- Government workers37.6%99thU.S. 14.5% · NY 16.4%57th of 1,685 in NY
- Per capita income$107,59598thStrengthU.S. $44,673 · NY $50,71268th of 1,690 in NY
- Median home value$1,113,60097thU.S. $332,700 · NY $423,80056th of 1,614 in NY
- Uninsured rate21.8%96thWeaknessU.S. 8.4% · NY 5.1%20th of 1,689 in NY
- Median earnings per worker$87,45095thStrengthU.S. $49,666 · NY $55,321128th of 1,676 in NY
- Veterans11.9%94thU.S. 6.2% · NY 3.7%137th of 1,693 in NY
- Poverty rate22.3%89thWeaknessU.S. 12.5% · NY 14%173rd of 1,679 in NY
- 77thU.S. 14.1% · NY 22.8%261st of 1,693 in NY
- 33rdU.S. 0.483 · NY 0.517898th of 1,669 in NY
- Population density147/sq mi17thU.S. 95/sq mi · NY 421/sq mi923rd of 1,693 in NY
- Broadband access85.1%12thWeaknessU.S. 91% · NY 90.8%1,373rd of 1,673 in NY
- Population4041stU.S. 334,922,499 · NY 19,852,3661,499th of 1,693 in NY
- 1stStrengthU.S. 5.2% · NY 6.4%1,635th of 1,685 in NY
- 1stU.S. 61.4 · NY 65.51,587th of 1,693 in NY
- 1stU.S. 22% · NY 20.5%1,683rd of 1,693 in NY
- 1stU.S. 9.7% · NY 11.8%1,658th of 1,685 in NY
| Measure | 11965 | Suffolk | NY | U.S. | National percentile | Rank in NY |
|---|---|---|---|---|---|---|
| Median age | 61.6 | 41.7 | 39.8 | 38.9 | 61st of 1,693 | |
| Bachelor's degree or higherStrength | 83.8% | 40.2% | 40.2% | 35.7% | 30th of 1,691 | |
| Homeownership rateStrength | 100% | 82.2% | 54.3% | 65.2% | 49th of 1,673 | |
| Work from home | 47.3% | 12% | 14.9% | 15.1% | 21st of 1,685 | |
| Housing vacancy | 64.9% | 11.7% | 10% | 10.1% | 53rd of 1,675 | |
| Residents 65 and older | 44.6% | 17.9% | 17.9% | 17.2% | 51st of 1,693 | |
| Tech workers | 18.6% | 2.4% | 3.5% | 3.8% | 8th of 1,685 | |
| Self-employed workers | 27.9% | 10% | 9.7% | 10% | 77th of 1,685 | |
| Government workers | 37.6% | 18.9% | 16.4% | 14.5% | 57th of 1,685 | |
| Per capita incomeStrength | $107,595 | $57,164 | $50,712 | $44,673 | 68th of 1,690 | |
| Median home value | $1,113,600 | $578,400 | $423,800 | $332,700 | 56th of 1,614 | |
| Uninsured rateWeakness | 21.8% | 4.7% | 5.1% | 8.4% | 20th of 1,689 | |
| Median earnings per workerStrength | $87,450 | $61,833 | $55,321 | $49,666 | 128th of 1,676 | |
| Veterans | 11.9% | 4% | 3.7% | 6.2% | 137th of 1,693 | |
| Poverty rateWeakness | 22.3% | 6.4% | 14% | 12.5% | 173rd of 1,679 | |
| Foreign-born residents | 21.5% | 16.8% | 22.8% | 14.1% | 261st of 1,693 | |
| Income inequality (Gini) | 0.415 | 0.442 | 0.517 | 0.483 | 898th of 1,669 | |
| Population density | 147/sq mi | 1,680/sq mi | 421/sq mi | 95/sq mi | 923rd of 1,693 | |
| Broadband accessWeakness | 85.1% | 93.2% | 90.8% | 91% | 1,373rd of 1,673 | |
| Population | 404 | 1,530,146 | 19,852,366 | 334,922,499 | 1,499th of 1,693 | |
| Unemployment rateStrength | 0% | 4.7% | 6.4% | 5.2% | 1,635th of 1,685 | |
| Diversity index | 3.9 | 55.6 | 65.5 | 61.4 | 1,587th of 1,693 | |
| Residents under 18 | 0% | 20.8% | 20.5% | 22% | 1,683rd of 1,693 | |
| Healthcare workers | 0% | 11% | 11.8% | 9.7% | 1,658th 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
- White98%
- Black0.2%
- Hispanic2%
- Asian0%
- Native American0%
- Pacific Islander0%
- Other0%
- Multiracial0%
Language spoken at home (households)
Households
- Households
- 249
- Average household size
- 1.6
- Family households
- 52.6%
- Married couples
- 37.8%
- Living alone
- 47.4%
- Veterans (of adults)
- 11.9%
- Male / female
- 26% / 74%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 710
- Owner-occupied
- 100%
- Vacant
- 64.9%
- Median year built
- 1974
- Median rooms
- 6.6
- 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 | 11965 | U.S. |
|---|---|---|
| Management, business, science and arts | $134,063 | $74,888 |
| Service | under $2,500 | $26,804 |
| Sales and office | — | $40,476 |
| Construction and maintenance | — | $49,199 |
| Production and transportation | — | $39,989 |
Education, internet and health coverage
Highest education (adults 25+)
- High school graduate or higher
- 98%
- Bachelor's degree or higher
- 83.8%
- Graduate or professional degree
- 23.4%
- Households with broadband
- 85.1%
- Cable, fiber or DSL
- 85.1%
- No internet access
- 0%
- Without health insurance
- 21.8%
- Limited-English households
- 0%
Geography
- City (USPS)
- Shelter Island Heights
- State
- New York
- County
- Suffolk County
- Center point
- 41.0825° N, 72.3034° W
- Land area
- 2.7 sq mi
- Water area
- 7.2 sq mi
- Time zone
- Eastern Time (UTC-5, UTC-4 in summer)
- Zip type
- Residential delivery area
Cities and towns within this zip
- Shelter Island Heights (unincorporated)91% of zip
- Shelter Island (unincorporated)9% of zip
Census places overlapping the zip's area. Mail may use a different city name than the municipality.
Zip codes near 11965
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 11964 | Shelter Island, NY | 2.3 mi | $134,620 |
| 11944 | Greenport, NY | 3.9 mi | $85,298 |
| 11939 | East Marion, NY | 4 mi | $102,500 |
| 11963 | Sag Harbor, NY | 5.6 mi | $127,746 |
| 11971 | Southold, NY | 6.7 mi | $129,507 |
| 11937 | East Hampton, NY | 8.2 mi | $129,883 |
| 11958 | Peconic, NY | 8.9 mi | — |
| 11975 | Wainscott, NY | 9.7 mi | $131,042 |
| 11935 | Cutchogue, NY | 11 mi | $143,750 |
| 11962 | Sagaponack, NY | 11 mi | — |
| 11932 | Bridgehampton, NY | 11 mi | $173,672 |
| 11956 | New Suffolk, NY | 11 mi | $130,875 |
Questions about 11965
What city is zip code 11965?
11965 is assigned to Shelter Island Heights, New York. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 11965 in?
11965 is in Suffolk County, New York.
What is the population of 11965?
About 404 people live in 11965, according to the Census Bureau's American Community Survey.
What time zone is 11965 in?
11965 is in Eastern Time.
What zip codes are near 11965?
The closest zip codes to 11965 are 11964, 11944, 11939, 11963, 11971.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 11965, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.