17076 ZIP Code — Oakland Mills, PA
Juniata County, Pennsylvania
ZIP code 17076 is located in Oakland Mills, Pennsylvania, within Juniata County. It covers approximately 0.24 square miles and serves a population of 123 residents. This is a standard ZIP code in the Eastern (ET) timezone, served by area code 717.
123
population
0.24
sq mi land
Standard
ZIP type
Eastern (ET)
timezone
17076 ZIP code map
Cities in ZIP code 17076
Below are the cities the US Postal Service accepts for ZIP code 17076. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Oakland Mills | Preferred |
Nearby ZIP codes
17049 Mc Alisterville (3.6 mi)
17059 Mifflintown (4.7 mi)
17058 Mifflin (6 mi)
17841 Mc Clure (7.2 mi)
17094 Thompsontown (8 mi)
17086 Richfield (11.1 mi)
17062 Millerstown (11.2 mi)
17037 Ickesburg (11.3 mi)
17082 Port Royal (11.3 mi)
17812 Beaver Springs (11.4 mi)
17014 Cocolamus (11.6 mi)
17074 Newport (11.8 mi)
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 123 |
| Population density | 513 / sq mi |
| State FIPS | 42 |
| County FIPS | 067 |
| Geography | |
|---|---|
| Land area | 0.24 sq mi |
| Water area | 0.00 sq mi |
| Latitude | 40.6095 |
| Longitude | -77.3163 |
| Timezone | Eastern (ET) |
| Area code | 717 |
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% | 47.0% | 39.8% |
| $50k – $100k | 100.0% | 32.4% | 30.8% |
| $100k – $200k | 0.0% | 18.1% | 22.4% |
| Over $200k | 0.0% | 2.4% | 7.1% |
Demographics & statistics
123
Population
513
People per sq mi
54.2
Median age
$0
Median household income
$32,621
Per capita income
$0
Median home value
$0
Median monthly rent
100.0%
Home ownership
0.0%
Poverty rate
0.0%
Unemployment
37
Housing units
0.0%
Bachelor's or higher
Age distribution
Male
Female
30
25–34
13
56
45–54
24
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 0 | 0.0% |
| 18 and over | 123 | 100.0% |
| 65 and over | 0 | 0.0% |
| Median age | 54.2 years | |
Race & ethnicity
White
100%
| Group | Count | % |
|---|---|---|
| White | 123 | 100% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 0.0% | 47.0% | 39.8% |
| $50k – $100k | 100.0% | 32.4% | 30.8% |
| $100k – $200k | 0.0% | 18.1% | 22.4% |
| Over $200k | 0.0% | 2.4% | 7.1% |
$75k–$100k
100.0%
| Range | % of households |
|---|---|
| $75k–$100k | 100.0% |
| Median income | $0 |
Housing
Home values
$150k–$200k
100.0%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $0 |
| Median rent / month | $0 |
| Owner occupied | 100.0% |
| Renter occupied | 0.0% |
| Vacant | 0.0% |
| Single-family detached | 100.0% |
| Large apartment buildings | 0.0% |
| Mobile homes | 0.0% |
| Median rooms | 0.0 |
| Avg household size (owned) | 3.32 |
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 | 0.0% |
| 2 bedrooms | 0.0% |
| 3 bedrooms | 0.0% |
| 4 bedrooms | 100.0% |
| 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 | 100.0% |
Heating fuel
| Fuel type | % |
|---|---|
| Fuel oil | 100.0% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 37 | 100.0% |
| 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 | 3.32 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 50.0% | 0.0% |
| Married | 50.0% | 100.0% |
| 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
65.0%
Some college, no degree
0.0%
Associate's degree
35.0%
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 | 0 | 0.0% |
Employment
Industry of employment
Retail trade
65.0%
Public administration
35.0%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 0.0% |
| Service | 30.1% |
| Sales & office | 0.0% |
| Natural resources & construction | 0.0% |
| Production & transportation | 69.9% |
Employment type
| Type | % |
|---|---|
| Private sector | 65.0% |
| Government | 35.0% |
| Self-employed | 0.0% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 100.0% |
| Carpool | 0.0% |
| Public transit | 0.0% |
| Walk | 0.0% |
| Work from home | 0.0% |
| Other means | 0.0% |
| Avg commute (minutes) | 0.0 |
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 | 0.0% |
| High blood pressure | 0.0% |
| High cholesterol | 0.0% |
| Diabetes | 0.0% |
| Heart disease | 0.0% |
| Stroke | 0.0% |
| Asthma | 0.0% |
| Arthritis | 0.0% |
| Kidney disease | 0.0% |
| Pulmonary disease | 0.0% |
| Cancer | 0.0% |
| Behavior / access | % |
|---|---|
| Smoking | 0.0% |
| Binge drinking | 0.0% |
| No physical activity | 0.0% |
| Less than 7 hrs sleep | 0.0% |
| Depression | 0.0% |
| Fair or poor health | 0.0% |
| Poor mental health | 0.0% |
| Poor physical health | 0.0% |
| No health insurance | 0.0% |
| Visited doctor (checkup) | 0.0% |
| Visited dentist | 0.0% |
| Cholesterol screening | 0.0% |
| Teeth loss | 0.0% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 0 | 0.0% |
| Disability | % |
|---|---|
| Any disability | 0.0% |
| Under 18 | 0.0% |
| 18–64 years | 0.0% |
| 65 and over | 0.0% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 100.0% |
| Public insurance | 0.0% |
| No insurance | 0.0% |
| Uninsured under 19 | 0.0% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 123 | 100.0% |
| Spanish | 0 | 0.0% |
| Other Indo-European | 0 | 0.0% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 123 | 100.0% |
| Born in same state | 123 | 100.0% |
| Born in different state | 123 | 100.0% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 0 | 0.0% |
| Not a US citizen | 0 | 0.0% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 30.1% |
| Internet access | 100.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 17076
What city is ZIP code 17076 in?
ZIP code 17076 is primarily assigned to Oakland Mills, Pennsylvania.
What county is ZIP code 17076 in?
ZIP code 17076 falls within Juniata County, Pennsylvania.
What is the population of ZIP code 17076?
ZIP code 17076 has an estimated population of 123 residents, with a density of 504 people per square mile.
What timezone is ZIP code 17076 in?
ZIP code 17076 observes the EST timezone.