Demographics details for Roaring spring, PA vs Cuyahoga falls, OH

Population Overview

Compare main population characteristics in Roaring spring, PA vs Cuyahoga falls, OH.

Data Roaring spring Cuyahoga falls
Population 2,333 50,655
Median Age 36.1 years 37.8 years
Median Income $63,194 $67,922
Married Families 43.0% 41.0%
Poverty Level 10% 7%
Unemployment Rate 5.0 4.8

Population Comparison: Roaring spring vs Cuyahoga falls

  • The population in Cuyahoga falls is higher at 50,655, compared to 2,333 in Roaring spring.
  • The median age in Cuyahoga falls is higher at 37.8 years, compared to 36.1 years in Roaring spring.
  • Cuyahoga falls has a higher median income of $67,922, compared to $63,194 in Roaring spring.
  • A higher percentage of married families is found in Roaring spring at 43.0% compared to 41.0% in Cuyahoga falls.
  • Roaring spring has a higher poverty level at 10% compared to 7% in Cuyahoga falls.
  • The unemployment rate in Roaring spring is higher at 5.0%, compared to 4.8% in Cuyahoga falls.

Demographics

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

Demographic Roaring spring Cuyahoga falls
Black 1 5
White 91 81
Asian Data is updating 6
Hispanic 3 3
Two or More Races 5 5
American Indian Data is updating Data is updating

Demographics Comparison: Roaring spring vs Cuyahoga falls

  • In Cuyahoga falls, the percentage of Black residents is higher at 5% compared to 1% in Roaring spring.
  • Roaring spring has a higher percentage of White residents at 91% compared to 81% in Cuyahoga falls.
  • In Cuyahoga falls, the Asian population stands at 6%, greater than 0% in Roaring spring.
  • The percentage of Hispanic residents is the same in both Roaring spring and Cuyahoga falls at 3%.
  • Both Roaring spring and Cuyahoga falls have the same percentage of residents identifying as two or more races at 5%.
  • The percentage of American Indian residents is the same in both Roaring spring and Cuyahoga falls at 0%.

Health Statistics

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

Health Metric Roaring spring Cuyahoga falls
Mental Health Not Good 18.2% 17.1%
Physical Health Not Good 12.2% 11.1%
Depression 25.5% 25.1%
Smoking 21.4% 18.5%
Binge Drinking 18.5% 18.8%
Obesity 34.7% 41.1%
Disability Percentage 14.0% 13.0%

Health Statistics Comparison: Roaring spring vs Cuyahoga falls

  • More residents in Roaring spring report poor mental health at 18.2% compared to 17.1% in Cuyahoga falls.
  • Depression is more prevalent in Roaring spring at 25.5% compared to 25.1% in Cuyahoga falls.
  • Smoking is more prevalent in Roaring spring at 21.4% compared to 18.5% in Cuyahoga falls.
  • More residents engage in binge drinking in Cuyahoga falls at 18.8% compared to 18.5% in Roaring spring.
  • Cuyahoga falls has higher obesity rates at 41.1% compared to 34.7% in Roaring spring.
  • Disability percentages are higher in Roaring spring at 14.0% compared to 13.0% in Cuyahoga falls.

Education Levels

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

Education Level Roaring spring Cuyahoga falls
No Schooling 0.4% (9) 1.6% (825)
High School Diploma 25.9% (605) 19.4% (9,813)
Less than High School 7.2% (168) 6.3% (3,197)
Bachelor's Degree and Higher 13.5% (316) 26.1% (13,215)

Education Levels Comparison: Roaring spring vs Cuyahoga falls

  • In Cuyahoga falls, a larger percentage of residents lack formal schooling at 1.6% 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 19.4% in Cuyahoga falls.
  • More residents in Roaring spring have less than a high school education at 7.2% compared to 6.3% in Cuyahoga falls.
  • In Cuyahoga falls, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 13.5% in Roaring spring.

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.