17576 ZIP Code — Smoketown, PA
Lancaster County, Pennsylvania
ZIP code 17576 is located in Smoketown, Pennsylvania, within Lancaster County. It covers approximately 0.10 square miles and serves a population of 122 residents. This is a standard ZIP code in the Eastern (ET) timezone, served by area code 717.
122
population
0.10
sq mi land
Standard
ZIP type
Eastern (ET)
timezone
17576 ZIP code map
Cities in ZIP code 17576
Below are the cities the US Postal Service accepts for ZIP code 17576. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Smoketown | Preferred |
Nearby ZIP codes
17573 Lancaster (1.4 mi)
17572 Ronks (2.5 mi)
17505 Bird In Hand (2.5 mi)
17602 Lancaster (3.5 mi)
17540 Leola (4.5 mi)
17529 Gordonville (4.7 mi)
17579 Strasburg (5.1 mi)
17584 Willow Street (5.9 mi)
17699 Lancaster (6 mi)
17622 Lancaster (6.3 mi)
17562 Paradise (6.5 mi)
17601 Lancaster (7.3 mi)
Demographics
updated 06/2026
| Population | |
|---|---|
| Total population | 122 |
| Population density | 1,220 / sq mi |
| State FIPS | 42 |
| County FIPS | 071 |
| Geography | |
|---|---|
| Land area | 0.10 sq mi |
| Water area | 0.00 sq mi |
| Latitude | 40.0357 |
| Longitude | -76.1915 |
| Timezone | Eastern (ET) |
| Area code | 717 |
Total population by age
Gender
Race & ethnicity
Economics
updated 06/2026
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 0.0% | 34.0% | 39.8% |
| $50k – $100k | 100.0% | 35.3% | 30.8% |
| $100k – $200k | 0.0% | 24.8% | 22.4% |
| Over $200k | 0.0% | 6.0% | 7.1% |
Demographics & statistics
122
Population
1,220
People per sq mi
51.0
Median age
$0
Median household income
$0
Per capita income
$0
Median home value
$0
Median monthly rent
100.0%
Home ownership
0.0%
Poverty rate
0.0%
Unemployment
32
Housing units
100.0%
Bachelor's or higher
Age distribution
Male
Female
30
10–14
30
15
45–54
15
16
55–59
16
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 60 | 49.2% |
| 18 and over | 62 | 50.8% |
| 65 and over | 0 | 0.0% |
| Median age | 51.0 years | |
Race & ethnicity
White
100%
| Group | Count | % |
|---|---|---|
| White | 122 | 100% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 0.0% | 34.0% | 39.8% |
| $50k – $100k | 100.0% | 35.3% | 30.8% |
| $100k – $200k | 0.0% | 24.8% | 22.4% |
| Over $200k | 0.0% | 6.0% | 7.1% |
$100k–$150k
100.0%
| Range | % of households |
|---|---|
| $100k–$150k | 100.0% |
| Median income | $0 |
Housing
Home values
$300k–$500k
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) | 3.81 |
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 | 100.0% |
| 1960–1969 | 0.0% |
| 1950–1959 | 0.0% |
| 1940–1949 | 0.0% |
| 1939 or earlier | 0.0% |
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 | 100.0% |
| 3 or more | 0.0% |
Heating fuel
| Fuel type | % |
|---|---|
| Wood | 100.0% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 32 | 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 | 32 | 100.0% |
| Households with seniors (65+) | 0 | 0.0% |
| Average household size | 3.81 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 0.0% | 0.0% |
| Married | 100.0% | 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
0.0%
Some college, no degree
0.0%
Associate's degree
0.0%
Bachelor's degree
0.0%
Graduate / professional
100.0%
| Metric | % |
|---|---|
| HS diploma or higher | 100.0% |
| Bachelor's or higher | 100.0% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 0 | 0.0% |
| Kindergarten | 0 | 0.0% |
| Elementary school | 60 | 100.0% |
| High school | 0 | 0.0% |
| College / grad school | 0 | 0.0% |
Employment
Industry of employment
Education & healthcare
100.0%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 100.0% |
| Service | 0.0% |
| Sales & office | 0.0% |
| Natural resources & construction | 0.0% |
| Production & transportation | 0.0% |
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 | 0.0% |
| Supplemental Security | 0.0% |
| Cash public assistance | 0.0% |
| Food stamps / SNAP | 0.0% |
Health indicators
| Condition | % |
|---|---|
| Obesity | 35.0% |
| High blood pressure | 41.4% |
| High cholesterol | 37.7% |
| Diabetes | 14.8% |
| Heart disease | 10.5% |
| Stroke | 4.6% |
| Asthma | 10.2% |
| Arthritis | 36.6% |
| Kidney disease | 4.1% |
| Pulmonary disease | 10.6% |
| Cancer | 9.8% |
| Behavior / access | % |
|---|---|
| Smoking | 19.2% |
| Binge drinking | 13.8% |
| No physical activity | 28.0% |
| Less than 7 hrs sleep | 35.4% |
| Depression | 21.1% |
| Fair or poor health | 19.3% |
| Poor mental health | 14.1% |
| Poor physical health | 13.4% |
| No health insurance | 12.8% |
| Visited doctor (checkup) | 81.9% |
| Visited dentist | 61.8% |
| Cholesterol screening | 91.6% |
| Teeth loss | 17.3% |
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 | 122 | 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) | 122 | 100.0% |
| Born in same state | 122 | 100.0% |
| Born in different state | 122 | 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 | 26.2% |
| Internet access | 100.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 17576
What city is ZIP code 17576 in?
ZIP code 17576 is primarily assigned to Smoketown, Pennsylvania.
What county is ZIP code 17576 in?
ZIP code 17576 falls within Lancaster County, Pennsylvania.
How educated is the population of ZIP code 17576?
100% of residents hold a bachelor's degree or higher — well above the national average of ~33%, reflecting a highly educated population.
Is ZIP code 17576 family-oriented?
49% of residents in ZIP code 17576 are under 18, reflecting a younger, family-oriented community.
What is the population of ZIP code 17576?
ZIP code 17576 has an estimated population of 122 residents, with a density of 1,284 people per square mile.
What timezone is ZIP code 17576 in?
ZIP code 17576 observes the EST timezone.