Zip code 12174: Stuyvesant Falls, New York
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 12174
12174 is a small-town zip code in Stuyvesant Falls, New York (Columbia County), covering 1.1 sq mi of land. About 427 people live here, or 390 per square mile. The median resident is 71.1 years old, compared with 38.9 nationally. With so few residents, the Census figures below are rough estimates with wide margins of error.
The median household earns $51,131 a year, 37% below the national median of $80,734. 12.6% of residents live below the poverty line (U.S.: 12.5%). 83% of occupied homes are lived in by their owners.
11% of adults hold a bachelor's degree or higher (U.S.: 36%). The most common jobs among working residents are in sales; management; and cleaning and personal care. 24% of them are self-employed (U.S.: 10%).
How 12174 compares
Only about 427 people live here, so these survey estimates have wide margins of error.
- Median age71.199thU.S. 38.9 · NY 39.89th of 1,693 in NY
- Unemployment rate24.4%99thWeaknessU.S. 5.2% · NY 6.4%16th of 1,685 in NY
- Broadband access100%99thStrengthU.S. 91% · NY 90.8%14th of 1,673 in NY
- Veterans24.7%99thU.S. 6.2% · NY 3.7%13th of 1,693 in NY
- 99thWeaknessU.S. 51.1% · NY 52.1%8th of 1,579 in NY
- 99thU.S. 17.2% · NY 17.9%17th of 1,693 in NY
- 99thU.S. 10% · NY 9.7%110th of 1,685 in NY
- 96thWeaknessU.S. 0.483 · NY 0.517118th of 1,669 in NY
- Homeownership rate83.2%85thStrengthU.S. 65.2% · NY 54.3%674th of 1,673 in NY
- Median earnings per worker$58,82873rdU.S. $49,666 · NY $55,321538th of 1,676 in NY
- Poverty rate12.6%59thU.S. 12.5% · NY 14%582nd of 1,679 in NY
- Work from home12.2%47thU.S. 15.1% · NY 14.9%775th of 1,685 in NY
- Per capita income$37,89444thU.S. $44,673 · NY $50,7121,055th of 1,690 in NY
- Population density390/sq mi29thU.S. 95/sq mi · NY 421/sq mi713th of 1,693 in NY
- Housing vacancy3.8%19thU.S. 10.1% · NY 10%1,400th of 1,675 in NY
- 13thU.S. 14.1% · NY 22.8%1,184th of 1,693 in NY
- Median household income$51,13110thWeaknessU.S. $80,734 · NY $85,9741,499th of 1,602 in NY
- 3rdWeaknessU.S. 35.7% · NY 40.2%1,611th of 1,691 in NY
- Population4271stU.S. 334,922,499 · NY 19,852,3661,486th of 1,693 in NY
- 1stU.S. 61.4 · NY 65.51,627th of 1,693 in NY
- 1stStrengthU.S. 8.4% · NY 5.1%1,555th of 1,689 in NY
- 1stU.S. 22% · NY 20.5%1,598th of 1,693 in NY
- 1stU.S. 3.8% · NY 3.5%1,389th of 1,685 in NY
- 1stU.S. 9.7% · NY 11.8%1,605th of 1,685 in NY
- 1stU.S. 14.5% · NY 16.4%1,650th of 1,685 in NY
| Measure | 12174 | Columbia | NY | U.S. | National percentile | Rank in NY |
|---|---|---|---|---|---|---|
| Median age | 71.1 | 49.8 | 39.8 | 38.9 | 9th of 1,693 | |
| Unemployment rateWeakness | 24.4% | 5.4% | 6.4% | 5.2% | 16th of 1,685 | |
| Broadband accessStrength | 100% | 89.7% | 90.8% | 91% | 14th of 1,673 | |
| Veterans | 24.7% | 6.2% | 3.7% | 6.2% | 13th of 1,693 | |
| Rent-burdened rentersWeakness | 100% | 57.3% | 52.1% | 51.1% | 8th of 1,579 | |
| Residents 65 and older | 60.9% | 26.2% | 17.9% | 17.2% | 17th of 1,693 | |
| Self-employed workers | 24.2% | 16.6% | 9.7% | 10% | 110th of 1,685 | |
| Income inequality (Gini)Weakness | 0.538 | 0.510 | 0.517 | 0.483 | 118th of 1,669 | |
| Homeownership rateStrength | 83.2% | 76.3% | 54.3% | 65.2% | 674th of 1,673 | |
| Median earnings per worker | $58,828 | $53,077 | $55,321 | $49,666 | 538th of 1,676 | |
| Poverty rate | 12.6% | 12.1% | 14% | 12.5% | 582nd of 1,679 | |
| Work from home | 12.2% | 17.4% | 14.9% | 15.1% | 775th of 1,685 | |
| Per capita income | $37,894 | $54,996 | $50,712 | $44,673 | 1,055th of 1,690 | |
| Population density | 390/sq mi | 96/sq mi | 421/sq mi | 95/sq mi | 713th of 1,693 | |
| Housing vacancy | 3.8% | 20.3% | 10% | 10.1% | 1,400th of 1,675 | |
| Foreign-born residents | 2.1% | 7.4% | 22.8% | 14.1% | 1,184th of 1,693 | |
| Median household incomeWeakness | $51,131 | $81,528 | $85,974 | $80,734 | 1,499th of 1,602 | |
| Bachelor's degree or higherWeakness | 10.8% | 39.4% | 40.2% | 35.7% | 1,611th of 1,691 | |
| Population | 427 | 61,100 | 19,852,366 | 334,922,499 | 1,486th of 1,693 | |
| Diversity index | 0.9 | 31.3 | 65.5 | 61.4 | 1,627th of 1,693 | |
| Uninsured rateStrength | 0% | 3.4% | 5.1% | 8.4% | 1,555th of 1,689 | |
| Residents under 18 | 5.2% | 15.9% | 20.5% | 22% | 1,598th of 1,693 | |
| Tech workers | 0% | 2% | 3.5% | 3.8% | 1,389th of 1,685 | |
| Healthcare workers | 0% | 9.9% | 11.8% | 9.7% | 1,605th of 1,685 | |
| Government workers | 0% | 17.3% | 16.4% | 14.5% | 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
- White100%
- Black0%
- Hispanic0%
- Asian0%
- Native American0%
- Pacific Islander0%
- Other0%
- Multiracial0.5%
Language spoken at home (households)
Households
- Households
- 202
- Average household size
- 2.1
- Family households
- 65.8%
- Married couples
- 49.5%
- Living alone
- 34.2%
- Veterans (of adults)
- 24.7%
- Male / female
- 49% / 51%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 210
- Owner-occupied
- 83.2%
- Vacant
- 3.8%
- Median year built
- 1939 or earlier
- Median rooms
- 5.1
- Renters paying 30%+ of income
- 100%
- Renters paying 50%+ of income
- 100%
- 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 | 12174 | U.S. |
|---|---|---|
| Management, business, science and arts | $77,353 | $74,888 |
| Service | — | $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
- 100%
- Bachelor's degree or higher
- 10.8%
- Graduate or professional degree
- 3.9%
- Households with broadband
- 100%
- Cable, fiber or DSL
- 97%
- No internet access
- 0%
- Without health insurance
- 0%
- Limited-English households
- 0%
Geography
- City (USPS)
- Stuyvesant Falls
- State
- New York
- County
- Columbia County
- Center point
- 42.3532° N, 73.7280° W
- Land area
- 1.1 sq mi
- Water area
- under 0.1 sq mi
- Time zone
- Eastern Time (UTC-5, UTC-4 in summer)
- Zip type
- Residential delivery area
Zip codes near 12174
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 12106 | Kinderhook, NY | 2.5 mi | $75,714 |
| 12050 | Columbiaville, NY · PO box | 2.7 mi | — |
| 12173 | Stuyvesant, NY | 3.2 mi | $76,607 |
| 12172 | Stottville, NY | 4.5 mi | $86,587 |
| 12075 | Ghent, NY | 5.6 mi | $98,047 |
| 12051 | Coxsackie, NY | 5.7 mi | $91,786 |
| 12192 | West Coxsackie, NY | 5.9 mi | $106,213 |
| 12184 | Valatie, NY | 6 mi | $98,622 |
| 12015 | Athens, NY | 6.4 mi | $91,845 |
| 12130 | Niverville, NY | 7.1 mi | $104,286 |
| 12544 | Mellenville, NY | 7.1 mi | — |
| 12124 | New Baltimore, NY | 7.3 mi | $85,461 |
Questions about 12174
What city is zip code 12174?
12174 is assigned to Stuyvesant Falls, New York. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 12174 in?
12174 is in Columbia County, New York.
What is the population of 12174?
About 427 people live in 12174, according to the Census Bureau's American Community Survey.
What time zone is 12174 in?
12174 is in Eastern Time.
What is the median household income in 12174?
The median household income in 12174 is $51,131.
What zip codes are near 12174?
The closest zip codes to 12174 are 12106, 12050, 12173, 12172, 12075.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 12174, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.