Demographics details for Roaring spring, PA vs Port arthur, TX

Population Overview

Compare main population characteristics in Roaring spring, PA vs Port arthur, TX.

Data Roaring spring Port arthur
Population 2,333 55,579
Median Age 36.1 years 33.7 years
Median Income $63,194 $45,357
Married Families 43.0% 30.0%
Poverty Level 10% 23%
Unemployment Rate 5.0 11.0

Population Comparison: Roaring spring vs Port arthur

  • The population in Port arthur is higher at 55,579, compared to 2,333 in Roaring spring.
  • Residents in Roaring spring have a higher median age of 36.1 years compared to 33.7 years in Port arthur.
  • Roaring spring has a higher median income of $63,194 compared to $45,357 in Port arthur.
  • A higher percentage of married families is found in Roaring spring at 43.0% compared to 30.0% in Port arthur.
  • The poverty level is higher in Port arthur at 23%, compared to 10% in Roaring spring.
  • Port arthur has a higher unemployment rate at 11.0% compared to 5.0% in Roaring spring.

Demographics

Demographics Roaring spring vs Port arthur provide insight into the diversity of the communities to compare.

Demographic Roaring spring Port arthur
Black 1 43
White 91 3
Asian Data is updating 6
Hispanic 3 34
Two or More Races 5 13
American Indian Data is updating 1

Demographics Comparison: Roaring spring vs Port arthur

  • In Port arthur, the percentage of Black residents is higher at 43% compared to 1% in Roaring spring.
  • Roaring spring has a higher percentage of White residents at 91% compared to 3% in Port arthur.
  • In Port arthur, the Asian population stands at 6%, greater than 0% in Roaring spring.
  • Port arthur has a higher percentage of Hispanic residents at 34%, compared to 3% in Roaring spring.
  • The percentage of residents identifying as two or more races is higher in Port arthur at 13%, compared to 5% in Roaring spring.
  • In Port arthur, the percentage of American Indian residents is higher at 1%, compared to 0% in Roaring spring.

Health Statistics

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

Health Metric Roaring spring Port arthur
Mental Health Not Good 18.2% 19.5%
Physical Health Not Good 12.2% 15.9%
Depression 25.5% 20.4%
Smoking 21.4% 23.3%
Binge Drinking 18.5% 13.9%
Obesity 34.7% 42.2%
Disability Percentage 14.0% 15.0%

Health Statistics Comparison: Roaring spring vs Port arthur

  • In Port arthur, a higher percentage report poor mental health at 19.5% compared to 18.2% in Roaring spring.
  • Depression is more prevalent in Roaring spring at 25.5% compared to 20.4% in Port arthur.
  • Port arthur has a higher smoking rate at 23.3% compared to 21.4% in Roaring spring.
  • Binge drinking is more common in Roaring spring at 18.5% compared to 13.9% in Port arthur.
  • Port arthur has higher obesity rates at 42.2% compared to 34.7% in Roaring spring.
  • There is a higher percentage of disabled individuals in Port arthur at 15.0% compared to 14.0% in Roaring spring.

Education Levels

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

Education Level Roaring spring Port arthur
No Schooling 0.4% (9) 2.5% (1,383)
High School Diploma 25.9% (605) 19.6% (10,902)
Less than High School 7.2% (168) 23.7% (13,180)
Bachelor's Degree and Higher 13.5% (316) 7.1% (3,955)

Education Levels Comparison: Roaring spring vs Port arthur

  • In Port arthur, a larger percentage of residents lack formal schooling at 2.5% compared to 0.4% in Roaring spring.
  • A higher percentage of residents in Roaring spring hold a high school diploma at 25.9% compared to 19.6% in Port arthur.
  • The percentage of residents with less than a high school education is higher in Port arthur at 23.7%, compared to 7.2% in Roaring spring.
  • A higher percentage of residents in Roaring spring hold a bachelor's degree or higher at 13.5% compared to 7.1% in Port arthur.

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.