Demographics details for Whitehall, PA vs South cle elum, WA

Population Overview

Compare main population characteristics in Whitehall, PA vs South cle elum, WA.

Data Whitehall South cle elum
Population 14,785 564
Median Age 44.8 years 35.2 years
Median Income $77,752 $56,400
Married Families 45.0% 47.0%
Poverty Level 8% 10%
Unemployment Rate 4.5 5.0

Population Comparison: Whitehall vs South cle elum

  • In Whitehall, the population is higher at 14,785, compared to 564 in South cle elum.
  • Residents in Whitehall have a higher median age of 44.8 years compared to 35.2 years in South cle elum.
  • Whitehall has a higher median income of $77,752 compared to $56,400 in South cle elum.
  • In South cle elum, the percentage of married families is higher at 47.0%, compared to 45.0% in Whitehall.
  • The poverty level is higher in South cle elum at 10%, compared to 8% in Whitehall.
  • South cle elum has a higher unemployment rate at 5.0% compared to 4.5% in Whitehall.

Demographics

Demographics Whitehall vs South cle elum provide insight into the diversity of the communities to compare.

Demographic Whitehall South cle elum
Black 4 Data is updating
White 78 84
Asian 14 Data is updating
Hispanic 1 6
Two or More Races 3 10
American Indian Data is updating Data is updating

Demographics Comparison: Whitehall vs South cle elum

  • A higher percentage of Black residents are in Whitehall at 4% compared to 0% in South cle elum.
  • The percentage of White residents is higher in South cle elum at 84% compared to 78% in Whitehall.
  • The Asian population is larger in Whitehall at 14% compared to 0% in South cle elum.
  • South cle elum has a higher percentage of Hispanic residents at 6%, compared to 1% in Whitehall.
  • The percentage of residents identifying as two or more races is higher in South cle elum at 10%, compared to 3% in Whitehall.
  • The percentage of American Indian residents is the same in both Whitehall and South cle elum at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Whitehall South cle elum
Mental Health Not Good 15.5% 17.8%
Physical Health Not Good 10.3% 11.9%
Depression 22.0% 26.2%
Smoking 17.0% 16.3%
Binge Drinking 21.4% 18.3%
Obesity 30.9% 31.0%
Disability Percentage 15.0% 26.0%

Health Statistics Comparison: Whitehall vs South cle elum

  • In South cle elum, a higher percentage report poor mental health at 17.8% compared to 15.5% in Whitehall.
  • Higher depression rates are seen in South cle elum at 26.2% versus 22.0% in Whitehall.
  • Smoking is more prevalent in Whitehall at 17.0% compared to 16.3% in South cle elum.
  • Binge drinking is more common in Whitehall at 21.4% compared to 18.3% in South cle elum.
  • South cle elum has higher obesity rates at 31.0% compared to 30.9% in Whitehall.
  • There is a higher percentage of disabled individuals in South cle elum at 26.0% compared to 15.0% in Whitehall.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Whitehall South cle elum
No Schooling 2.0% (302) 0.0% (Data is updating)
High School Diploma 18.2% (2,688) 22.2% (125)
Less than High School 7.7% (1,141) 21.6% (122)
Bachelor's Degree and Higher 31.1% (4,603) 20.6% (116)

Education Levels Comparison: Whitehall vs South cle elum

  • A higher percentage of residents in Whitehall have no formal schooling at 2.0% compared to 0.0% in South cle elum.
  • In South cle elum, the rate of residents with high school diplomas is higher at 22.2% compared to 18.2% in Whitehall.
  • The percentage of residents with less than a high school education is higher in South cle elum at 21.6%, compared to 7.7% in Whitehall.
  • A higher percentage of residents in Whitehall hold a bachelor's degree or higher at 31.1% compared to 20.6% in South cle elum.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.