17943 ZIP Code — Lavelle, PA
Schuylkill County, Pennsylvania
ZIP code 17943 is located in Lavelle, Pennsylvania, within Schuylkill County. It covers approximately 0.13 square miles and serves a population of 27 residents. This is a standard ZIP code in the Eastern (ET) timezone, served by area code 570/272.
27
population
0.13
sq mi land
Standard
ZIP type
Eastern (ET)
timezone
17943 ZIP code map
Cities in ZIP code 17943
Below are the cities the US Postal Service accepts for ZIP code 17943. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Lavelle | Acceptable |
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 27 |
| Population density | 208 / sq mi |
| State FIPS | 42 |
| County FIPS | 107 |
| Geography | |
|---|---|
| Land area | 0.13 sq mi |
| Water area | 0.00 sq mi |
| Latitude | 40.7603 |
| Longitude | -76.3875 |
| 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 | 40.6% | 46.8% | 39.8% |
| $50k – $100k | 59.4% | 33.5% | 30.8% |
| $100k – $200k | 0.0% | 17.4% | 22.4% |
| Over $200k | 0.0% | 2.3% | 7.1% |
Demographics & statistics
27
Population
208
People per sq mi
62.1
Median age
$0
Median household income
$47,915
Per capita income
$0
Median home value
$0
Median monthly rent
100.0%
Home ownership
0.0%
Poverty rate
0.0%
Unemployment
14
Housing units
22.2%
Bachelor's or higher
Age distribution
Male
Female
3
25–34
3
3
45–54
3
7
60–64
8
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 0 | 0.0% |
| 18 and over | 27 | 100.0% |
| 65 and over | 0 | 0.0% |
| Median age | 62.1 years | |
Race & ethnicity
White
63.6%
Hispanic or Latino
18.2%
Two or more races
18.2%
| Group | Count | % |
|---|---|---|
| White | 21 | 63.6% |
| Hispanic or Latino | 6 | 18.2% |
| Two or more races | 6 | 18.2% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 40.6% | 46.8% | 39.8% |
| $50k – $100k | 59.4% | 33.5% | 30.8% |
| $100k – $200k | 0.0% | 17.4% | 22.4% |
| Over $200k | 0.0% | 2.3% | 7.1% |
$50k–$75k
42.9%
$100k–$150k
57.1%
| Range | % of households |
|---|---|
| $50k–$75k | 42.9% |
| $100k–$150k | 57.1% |
| Median income | $0 |
Housing
Home values
$150k–$200k
57.1%
$200k–$300k
42.9%
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) | 1.93 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 0.0% |
| 2000–2009 | 0.0% |
| 1990–1999 | 0.0% |
| 1980–1989 | 42.9% |
| 1970–1979 | 0.0% |
| 1960–1969 | 0.0% |
| 1950–1959 | 0.0% |
| 1940–1949 | 0.0% |
| 1939 or earlier | 57.1% |
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 | 42.9% |
| 3 or more | 57.1% |
Heating fuel
| Fuel type | % |
|---|---|
| Electricity | 42.9% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 14 | 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 | 1.93 | |
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
55.6%
Some college, no degree
0.0%
Associate's degree
22.2%
Bachelor's degree
22.2%
Graduate / professional
0.0%
| Metric | % |
|---|---|
| HS diploma or higher | 100.0% |
| Bachelor's or higher | 22.2% |
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
Manufacturing
70.0%
Agriculture & mining
30.0%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 70.0% |
| Service | 0.0% |
| Sales & office | 0.0% |
| Natural resources & construction | 0.0% |
| Production & transportation | 30.0% |
Employment type
| Type | % |
|---|---|
| Private sector | 100.0% |
| Government | 0.0% |
| Self-employed | 0.0% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 60.0% |
| Carpool | 40.0% |
| 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 | 36.3% |
| High blood pressure | 35.6% |
| High cholesterol | 35.6% |
| Diabetes | 11.3% |
| Heart disease | 7.9% |
| Stroke | 3.4% |
| Asthma | 9.9% |
| Arthritis | 30.8% |
| Kidney disease | 3.1% |
| Pulmonary disease | 8.7% |
| Cancer | 7.7% |
| Behavior / access | % |
|---|---|
| Smoking | 21.1% |
| Binge drinking | 18.6% |
| No physical activity | 26.5% |
| Less than 7 hrs sleep | 34.7% |
| Depression | 22.0% |
| Fair or poor health | 15.4% |
| Poor mental health | 15.5% |
| Poor physical health | 11.8% |
| No health insurance | 10.8% |
| Visited doctor (checkup) | 76.4% |
| Visited dentist | 63.9% |
| Cholesterol screening | 90.0% |
| Teeth loss | 15.0% |
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 | 27 | 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) | 27 | 100.0% |
| Born in same state | 27 | 100.0% |
| Born in different state | 21 | 77.8% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 0 | 0.0% |
| Not a US citizen | 0 | 0.0% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 51.9% |
| Internet access | 100.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 17943
What city is ZIP code 17943 in?
ZIP code 17943 is primarily assigned to Lavelle, Pennsylvania.
What county is ZIP code 17943 in?
ZIP code 17943 falls within Schuylkill County, Pennsylvania.
What is the population of ZIP code 17943?
ZIP code 17943 has an estimated population of 27 residents, with a density of 203 people per square mile.
What timezone is ZIP code 17943 in?
ZIP code 17943 observes the EST timezone.