17979 ZIP Code — Summit Station, PA
Schuylkill County, Pennsylvania
ZIP code 17979 is located in Summit Station, Pennsylvania, within Schuylkill County. It covers approximately 0.31 square miles and serves a population of 64 residents. This is a standard ZIP code in the Eastern (ET) timezone, served by area code 570/272.
64
population
0.31
sq mi land
Standard
ZIP type
Eastern (ET)
timezone
17979 ZIP code map
Cities in ZIP code 17979
Below are the cities the US Postal Service accepts for ZIP code 17979. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Summit Station | Acceptable |
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 64 |
| Population density | 206 / sq mi |
| State FIPS | 42 |
| County FIPS | 107 |
| Geography | |
|---|---|
| Land area | 0.31 sq mi |
| Water area | 0.00 sq mi |
| Latitude | 40.5617 |
| Longitude | -76.1967 |
| Timezone | Eastern (ET) |
| Area code | 570/272 |
Total population by age
Gender
Race & ethnicity
Economics
updated 05/2026
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 27.3% | 46.8% | 39.8% |
| $50k – $100k | 69.7% | 33.5% | 30.8% |
| $100k – $200k | 3.0% | 17.4% | 22.4% |
| Over $200k | 0.0% | 2.3% | 7.1% |
Demographics & statistics
64
Population
206
People per sq mi
61.9
Median age
$0
Median household income
$51,916
Per capita income
$0
Median home value
$0
Median monthly rent
100.0%
Home ownership
0.0%
Poverty rate
0.0%
Unemployment
24
Housing units
43.8%
Bachelor's or higher
Age distribution
Male
Female
5
35–44
9
14
60–64
23
5
65–74
9
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 0 | 0.0% |
| 18 and over | 64 | 100.0% |
| 65 and over | 14 | 21.9% |
| Median age | 61.9 years | |
Race & ethnicity
White
100%
| Group | Count | % |
|---|---|---|
| White | 64 | 100% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 27.3% | 46.8% | 39.8% |
| $50k – $100k | 69.7% | 33.5% | 30.8% |
| $100k – $200k | 3.0% | 17.4% | 22.4% |
| Over $200k | 0.0% | 2.3% | 7.1% |
$75k–$100k
41.7%
$150k–$200k
58.3%
| Range | % of households |
|---|---|
| $75k–$100k | 41.7% |
| $150k–$200k | 58.3% |
| Median income | $0 |
Housing
Home values
$100k–$150k
41.7%
$200k–$300k
58.3%
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) | 2.67 |
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 | 41.7% |
| 1950–1959 | 0.0% |
| 1940–1949 | 0.0% |
| 1939 or earlier | 58.3% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.0% |
| 1 bedroom | 0.0% |
| 2 bedrooms | 0.0% |
| 3 bedrooms | 100.0% |
| 4 bedrooms | 0.0% |
| 5+ bedrooms | 0.0% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 0.0% |
| 1 vehicle | 0.0% |
| 2 vehicles | 41.7% |
| 3 or more | 58.3% |
Heating fuel
| Fuel type | % |
|---|---|
| Fuel oil | 58.3% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 24 | 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+) | 14 | 58.3% |
| Average household size | 2.67 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 0.0% | 35.0% |
| Married | 100.0% | 65.0% |
| 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
32.8%
Some college, no degree
23.4%
Associate's degree
0.0%
Bachelor's degree
43.8%
Graduate / professional
0.0%
| Metric | % |
|---|---|
| HS diploma or higher | 100.0% |
| Bachelor's or higher | 43.8% |
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
74.4%
Manufacturing
25.6%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 0.0% |
| Service | 0.0% |
| Sales & office | 74.4% |
| Natural resources & construction | 0.0% |
| Production & transportation | 25.6% |
Employment type
| Type | % |
|---|---|
| Private sector | 100.0% |
| Government | 0.0% |
| 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 | 58.3% |
| Supplemental Security | 0.0% |
| Cash public assistance | 0.0% |
| Food stamps / SNAP | 0.0% |
Health indicators
| Condition | % |
|---|---|
| Obesity | 32.9% |
| High blood pressure | 32.4% |
| High cholesterol | 34.7% |
| Diabetes | 9.4% |
| Heart disease | 6.6% |
| Stroke | 2.7% |
| Asthma | 9.4% |
| Arthritis | 28.4% |
| Kidney disease | 2.6% |
| Pulmonary disease | 6.5% |
| Cancer | 7.9% |
| Behavior / access | % |
|---|---|
| Smoking | 16.0% |
| Binge drinking | 18.8% |
| No physical activity | 21.7% |
| Less than 7 hrs sleep | 32.5% |
| Depression | 20.9% |
| Fair or poor health | 11.4% |
| Poor mental health | 14.0% |
| Poor physical health | 9.4% |
| No health insurance | 8.4% |
| Visited doctor (checkup) | 77.2% |
| Visited dentist | 72.0% |
| Cholesterol screening | 92.1% |
| Teeth loss | 10.2% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 0 | 0.0% |
| Disability | % |
|---|---|
| Any disability | 21.9% |
| Under 18 | 0.0% |
| 18–64 years | 28.0% |
| 65 and over | 0.0% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 56.3% |
| Public insurance | 21.9% |
| No insurance | 21.9% |
| Uninsured under 19 | 0.0% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 64 | 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) | 64 | 100.0% |
| Born in same state | 64 | 100.0% |
| Born in different state | 54 | 84.4% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 0 | 0.0% |
| Not a US citizen | 0 | 0.0% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 37.5% |
| Internet access | 100.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 17979
What city is ZIP code 17979 in?
ZIP code 17979 is primarily assigned to Summit Station, Pennsylvania.
What county is ZIP code 17979 in?
ZIP code 17979 falls within Schuylkill County, Pennsylvania.
What is the population of ZIP code 17979?
ZIP code 17979 has an estimated population of 64 residents, with a density of 207 people per square mile.
What timezone is ZIP code 17979 in?
ZIP code 17979 observes the EST timezone.