12504 ZIP Code — Annandale On Hudson, NY
Dutchess County, New York
ZIP code 12504 is located in Annandale On Hudson, New York, within Dutchess County. It covers approximately 0.75 square miles and serves a population of 1,152 residents. This is a standard ZIP code in the Eastern (ET) timezone, served by area code 845.
About ZIP code 12504
The housing stock consists of a significant share of large multi-unit buildings. Most homes were built in the pre-1940, giving the area an established character.
The dominant occupation class is service, with education and healthcare as the leading industry. The average commute of 19 minutes is near the national average. Remote work is prevalent — 29% of workers work from home.
1,152
population
0.75
sq mi land
Standard
ZIP type
Eastern (ET)
timezone
12504 ZIP code map
Cities in ZIP code 12504
Below are the cities the US Postal Service accepts for ZIP code 12504. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Annandale On Hudson | Acceptable |
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 1,152 |
| Population density | 1,536 / sq mi |
| State FIPS | 36 |
| County FIPS | 027 |
| Geography | |
|---|---|
| Land area | 0.75 sq mi |
| Water area | 0.00 sq mi |
| Latitude | 42.0124 |
| Longitude | -73.8998 |
| Timezone | Eastern (ET) |
| Area code | 845 |
Total population by age
Gender
Race & ethnicity
Economics
updated 05/2026
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 0.0% | 31.1% | 37.0% |
| $50k – $100k | 8.6% | 27.7% | 27.0% |
| $100k – $200k | 81.4% | 29.5% | 24.4% |
| Over $200k | 10.0% | 11.8% | 11.5% |
Demographics & statistics
1,152
Population
1,536
People per sq mi
19.8
Median age
$0
Median household income
$4,471
Per capita income
$0
Median home value
$0
Median monthly rent
0.0%
Home ownership
0.0%
Poverty rate
5.6%
Unemployment
15
Housing units
0.0%
Bachelor's or higher
Age distribution
Male
Female
244
15–19
417
176
20–24
302
5
25–34
8
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 10 | 0.9% |
| 18 and over | 1,142 | 99.1% |
| 65 and over | 0 | 0.0% |
| Median age | 19.8 years | |
Race & ethnicity
White
56.5%
Asian
14.1%
Black or African American
10.2%
Hispanic or Latino
6.3%
Other race
5.9%
Two or more races
4.2%
Native Hawaiian / Pacific Islander
1.7%
American Indian / Alaska Native
1%
| Group | Count | % |
|---|---|---|
| White | 695 | 56.5% |
| Asian | 174 | 14.1% |
| Black or African American | 125 | 10.2% |
| Hispanic or Latino | 78 | 6.3% |
| Other race | 73 | 5.9% |
| Two or more races | 52 | 4.2% |
| Native Hawaiian / Pacific Islander | 21 | 1.7% |
| American Indian / Alaska Native | 12 | 1% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 0.0% | 31.1% | 37.0% |
| $50k – $100k | 8.6% | 27.7% | 27.0% |
| $100k – $200k | 81.4% | 29.5% | 24.4% |
| Over $200k | 10.0% | 11.8% | 11.5% |
Housing
Home values
Housing overview
| Metric | Value |
|---|---|
| Median home value | $0 |
| Median rent / month | $0 |
| Owner occupied | 0.0% |
| Renter occupied | 0.0% |
| Vacant | 100.0% |
| Single-family detached | 0.0% |
| Large apartment buildings | 100.0% |
| Mobile homes | 0.0% |
| Median rooms | 0.0 |
| Avg household size (owned) | 0.00 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 0.0% |
| 2000–2009 | 0.0% |
| 1990–1999 | 0.0% |
| 1980–1989 | 0.0% |
| 1970–1979 | 0.0% |
| 1960–1969 | 0.0% |
| 1950–1959 | 0.0% |
| 1940–1949 | 0.0% |
| 1939 or earlier | 100.0% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.0% |
| 1 bedroom | 100.0% |
| 2 bedrooms | 0.0% |
| 3 bedrooms | 0.0% |
| 4 bedrooms | 0.0% |
| 5+ bedrooms | 0.0% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 0.0% |
| 1 vehicle | 0.0% |
| 2 vehicles | 0.0% |
| 3 or more | 0.0% |
Heating fuel
| Fuel type | % |
|---|
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 0 | 0.0% |
| Cohabiting couple | 0 | 0.0% |
| Male householder, no spouse | 0 | 0.0% |
| Female householder, no spouse | 0 | 0.0% |
| Households with children under 18 | 0 | 0.0% |
| Households with seniors (65+) | 0 | 0.0% |
| Average household size | 0.00 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 100.0% | 100.0% |
| Married | 0.0% | 0.0% |
| Separated | 0.0% | 0.0% |
| Widowed | 0.0% | 0.0% |
| Divorced | 0.0% | 0.0% |
Education
Less than 9th grade
0.0%
Some HS, no diploma
0.0%
HS graduate
30.8%
Some college, no degree
69.2%
Associate's degree
0.0%
Bachelor's degree
0.0%
Graduate / professional
0.0%
| Metric | % |
|---|---|
| HS diploma or higher | 100.0% |
| Bachelor's or higher | 0.0% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 0 | 0.0% |
| Kindergarten | 0 | 0.0% |
| Elementary school | 0 | 0.0% |
| High school | 0 | 0.0% |
| College / grad school | 1,152 | 100.0% |
Employment
Industry of employment
Education & healthcare
47.4%
Arts, food & hospitality
38.2%
Retail trade
6.0%
Transportation & utilities
3.4%
Finance & real estate
2.8%
Professional & management
2.3%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 34.3% |
| Service | 40.7% |
| Sales & office | 20.9% |
| Natural resources & construction | 0.0% |
| Production & transportation | 4.1% |
Employment type
| Type | % |
|---|---|
| Private sector | 94.0% |
| Government | 3.0% |
| Self-employed | 3.0% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 26.3% |
| Carpool | 2.6% |
| Public transit | 0.0% |
| Walk | 42.6% |
| Work from home | 28.5% |
| Other means | 0.0% |
| Avg commute (minutes) | 18.5 |
Poverty
All people
0.0%
Under 18 years
0.0%
18 and over
0.0%
Married-couple families
0.0%
Female-led households
0.0%
Income support
| Source | % of households |
|---|---|
| Social Security | 0.0% |
| Retirement income | 0.0% |
| Supplemental Security | 0.0% |
| Cash public assistance | 0.0% |
| Food stamps / SNAP | 0.0% |
Health indicators
| Condition | % |
|---|---|
| Obesity | 17.1% |
| High blood pressure | 8.4% |
| High cholesterol | 9.2% |
| Diabetes | 1.2% |
| Heart disease | 0.8% |
| Stroke | 0.4% |
| Asthma | 11.9% |
| Arthritis | 3.8% |
| Kidney disease | 0.7% |
| Pulmonary disease | 1.7% |
| Cancer | 0.9% |
| Behavior / access | % |
|---|---|
| Smoking | 8.3% |
| Binge drinking | 25.1% |
| No physical activity | 14.0% |
| Less than 7 hrs sleep | 29.9% |
| Depression | 24.4% |
| Fair or poor health | 5.1% |
| Poor mental health | 20.1% |
| Poor physical health | 4.2% |
| No health insurance | 9.7% |
| Visited doctor (checkup) | 71.3% |
| Visited dentist | 70.7% |
| Cholesterol screening | 75.6% |
| Teeth loss | 11.5% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 0 | 0.0% |
| Disability | % |
|---|---|
| Any disability | 5.8% |
| Under 18 | 0.0% |
| 18–64 years | 5.9% |
| 65 and over | 0.0% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 80.3% |
| Public insurance | 10.7% |
| No insurance | 12.2% |
| Uninsured under 19 | 4.7% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 1,152 | 100.0% |
| Spanish | 60 | 5.2% |
| Other Indo-European | 15 | 1.3% |
| Asian & Pacific Islander | 17 | 1.5% |
| Other languages | 28 | 2.4% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 942 | 81.8% |
| Born in same state | 925 | 80.3% |
| Born in different state | 377 | 32.7% |
| Foreign born | 17 | 1.5% |
| Naturalized citizen | 210 | 18.2% |
| Not a US citizen | 68 | 32.4% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Arab | 138 | 12% |
| Italian | 55 | 4.8% |
| French | 52 | 4.5% |
| German | 22 | 1.9% |
| Ancestry | Count | % |
|---|---|---|
| Irish | 14 | 1.2% |
| English | 6 | 0.5% |
| Polish | 5 | 0.4% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 0.0% |
| Internet access | 0.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 12504
What city is ZIP code 12504 in?
ZIP code 12504 is primarily assigned to Annandale On Hudson, New York.
What county is ZIP code 12504 in?
ZIP code 12504 falls within Dutchess County, New York.
What is the population of ZIP code 12504?
ZIP code 12504 has an estimated population of 1,152 residents, with a density of 1,546 people per square mile.
What timezone is ZIP code 12504 in?
ZIP code 12504 observes the EST timezone.