Demographics details for Roaring spring, PA vs Hurley, VA

Population Overview

Compare main population characteristics in Roaring spring, PA vs Hurley, VA.

Data Roaring spring Hurley
Population 2,333 181
Median Age 36.1 years 35.0 years
Median Income $63,194 $45,000
Married Families 43.0% 60.0%
Poverty Level 10% 15%
Unemployment Rate 5.0 5.0

Population Comparison: Roaring spring vs Hurley

  • In Roaring spring, the population is higher at 2,333, compared to 181 in Hurley.
  • Residents in Roaring spring have a higher median age of 36.1 years compared to 35.0 years in Hurley.
  • Roaring spring has a higher median income of $63,194 compared to $45,000 in Hurley.
  • In Hurley, the percentage of married families is higher at 60.0%, compared to 43.0% in Roaring spring.
  • The poverty level is higher in Hurley at 15%, compared to 10% in Roaring spring.
  • The unemployment rate is the same in both Roaring spring and Hurley at 5.0%.

Demographics

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

Demographic Roaring spring Hurley
Black 1 Data is updating
White 91 100
Asian Data is updating Data is updating
Hispanic 3 Data is updating
Two or More Races 5 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Roaring spring vs Hurley

  • A higher percentage of Black residents are in Roaring spring at 1% compared to 0% in Hurley.
  • The percentage of White residents is higher in Hurley at 100% compared to 91% in Roaring spring.
  • Both Roaring spring and Hurley have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Roaring spring at 3% compared to 0% in Hurley.
  • More residents identify as two or more races in Roaring spring at 5% compared to 0% in Hurley.
  • The percentage of American Indian residents is the same in both Roaring spring and Hurley at 0%.

Health Statistics

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

Health Metric Roaring spring Hurley
Mental Health Not Good 18.2% Data is updating%
Physical Health Not Good 12.2% Data is updating%
Depression 25.5% Data is updating%
Smoking 21.4% Data is updating%
Binge Drinking 18.5% Data is updating%
Obesity 34.7% Data is updating%
Disability Percentage 14.0% Data is updating%

Health Statistics Comparison: Roaring spring vs Hurley

  • More residents in Roaring spring report poor mental health at 18.2% compared to 0.0% in Hurley.
  • Depression is more prevalent in Roaring spring at 25.5% compared to 0.0% in Hurley.
  • Smoking is more prevalent in Roaring spring at 21.4% compared to 0.0% in Hurley.
  • Binge drinking is more common in Roaring spring at 18.5% compared to 0.0% in Hurley.
  • Obesity rates are higher in Roaring spring at 34.7% compared to 0.0% in Hurley.
  • Disability percentages are higher in Roaring spring at 14.0% compared to 0.0% in Hurley.

Education Levels

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

Education Level Roaring spring Hurley
No Schooling 0.4% (9) 0.0% (Data is updating)
High School Diploma 25.9% (605) 0.0% (Data is updating)
Less than High School 7.2% (168) 0.0% (Data is updating)
Bachelor's Degree and Higher 13.5% (316) 0.0% (Data is updating)

Education Levels Comparison: Roaring spring vs Hurley

  • A higher percentage of residents in Roaring spring have no formal schooling at 0.4% compared to 0.0% in Hurley.
  • A higher percentage of residents in Roaring spring hold a high school diploma at 25.9% compared to 0.0% in Hurley.
  • More residents in Roaring spring have less than a high school education at 7.2% compared to 0.0% in Hurley.
  • A higher percentage of residents in Roaring spring hold a bachelor's degree or higher at 13.5% compared to 0.0% in Hurley.

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.