Demographics details for Roaring spring, PA vs Pocahontas, AR

Population Overview

Compare main population characteristics in Roaring spring, PA vs Pocahontas, AR.

Data Roaring spring Pocahontas
Population 2,333 7,546
Median Age 36.1 years 36.5 years
Median Income $63,194 $38,912
Married Families 43.0% 37.0%
Poverty Level 10% 19%
Unemployment Rate 5.0 4.5

Population Comparison: Roaring spring vs Pocahontas

  • The population in Pocahontas is higher at 7,546, compared to 2,333 in Roaring spring.
  • The median age in Pocahontas is higher at 36.5 years, compared to 36.1 years in Roaring spring.
  • Roaring spring has a higher median income of $63,194 compared to $38,912 in Pocahontas.
  • A higher percentage of married families is found in Roaring spring at 43.0% compared to 37.0% in Pocahontas.
  • The poverty level is higher in Pocahontas at 19%, compared to 10% in Roaring spring.
  • The unemployment rate in Roaring spring is higher at 5.0%, compared to 4.5% in Pocahontas.

Demographics

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

Demographic Roaring spring Pocahontas
Black 1 1
White 91 90
Asian Data is updating 1
Hispanic 3 1
Two or More Races 5 7
American Indian Data is updating Data is updating

Demographics Comparison: Roaring spring vs Pocahontas

  • The percentage of Black residents is the same in both Roaring spring and Pocahontas at 1%.
  • Roaring spring has a higher percentage of White residents at 91% compared to 90% in Pocahontas.
  • In Pocahontas, the Asian population stands at 1%, greater than 0% in Roaring spring.
  • The Hispanic community is larger in Roaring spring at 3% compared to 1% in Pocahontas.
  • The percentage of residents identifying as two or more races is higher in Pocahontas at 7%, compared to 5% in Roaring spring.
  • The percentage of American Indian residents is the same in both Roaring spring and Pocahontas at 0%.

Health Statistics

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

Health Metric Roaring spring Pocahontas
Mental Health Not Good 18.2% 22.0%
Physical Health Not Good 12.2% 16.6%
Depression 25.5% 29.9%
Smoking 21.4% 27.1%
Binge Drinking 18.5% 14.1%
Obesity 34.7% 43.5%
Disability Percentage 14.0% 22.0%

Health Statistics Comparison: Roaring spring vs Pocahontas

  • In Pocahontas, a higher percentage report poor mental health at 22.0% compared to 18.2% in Roaring spring.
  • Higher depression rates are seen in Pocahontas at 29.9% versus 25.5% in Roaring spring.
  • Pocahontas has a higher smoking rate at 27.1% compared to 21.4% in Roaring spring.
  • Binge drinking is more common in Roaring spring at 18.5% compared to 14.1% in Pocahontas.
  • Pocahontas has higher obesity rates at 43.5% compared to 34.7% in Roaring spring.
  • There is a higher percentage of disabled individuals in Pocahontas at 22.0% 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 Pocahontas
No Schooling 0.4% (9) 0.5% (40)
High School Diploma 25.9% (605) 19.8% (1,491)
Less than High School 7.2% (168) 15.7% (1,186)
Bachelor's Degree and Higher 13.5% (316) 10.4% (782)

Education Levels Comparison: Roaring spring vs Pocahontas

  • In Pocahontas, a larger percentage of residents lack formal schooling at 0.5% 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 19.8% in Pocahontas.
  • The percentage of residents with less than a high school education is higher in Pocahontas at 15.7%, 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 10.4% in Pocahontas.

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.