Demographics details for Linden, VA vs Cuyahoga falls, OH

Population Overview

Compare main population characteristics in Linden, VA vs Cuyahoga falls, OH.

Data Linden Cuyahoga falls
Population 731 50,655
Median Age 38.0 years 37.8 years
Median Income $85,000 $67,922
Married Families 65.0% 41.0%
Poverty Level 5% 7%
Unemployment Rate 3.0 4.8

Population Comparison: Linden vs Cuyahoga falls

  • The population in Cuyahoga falls is higher at 50,655, compared to 731 in Linden.
  • Residents in Linden have a higher median age of 38.0 years compared to 37.8 years in Cuyahoga falls.
  • Linden has a higher median income of $85,000 compared to $67,922 in Cuyahoga falls.
  • A higher percentage of married families is found in Linden at 65.0% compared to 41.0% in Cuyahoga falls.
  • The poverty level is higher in Cuyahoga falls at 7%, compared to 5% in Linden.
  • Cuyahoga falls has a higher unemployment rate at 4.8% compared to 3.0% in Linden.

Demographics

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

Demographic Linden Cuyahoga falls
Black Data is updating 5
White 95 81
Asian 2 6
Hispanic 1 3
Two or More Races 2 5
American Indian Data is updating Data is updating

Demographics Comparison: Linden vs Cuyahoga falls

  • In Cuyahoga falls, the percentage of Black residents is higher at 5% compared to 0% in Linden.
  • Linden has a higher percentage of White residents at 95% compared to 81% in Cuyahoga falls.
  • In Cuyahoga falls, the Asian population stands at 6%, greater than 2% in Linden.
  • Cuyahoga falls has a higher percentage of Hispanic residents at 3%, compared to 1% in Linden.
  • The percentage of residents identifying as two or more races is higher in Cuyahoga falls at 5%, compared to 2% in Linden.
  • The percentage of American Indian residents is the same in both Linden and Cuyahoga falls at 0%.

Health Statistics

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

Health Metric Linden Cuyahoga falls
Mental Health Not Good Data is updating% 17.1%
Physical Health Not Good Data is updating% 11.1%
Depression Data is updating% 25.1%
Smoking Data is updating% 18.5%
Binge Drinking Data is updating% 18.8%
Obesity Data is updating% 41.1%
Disability Percentage Data is updating% 13.0%

Health Statistics Comparison: Linden vs Cuyahoga falls

  • In Cuyahoga falls, a higher percentage report poor mental health at 17.1% compared to 0.0% in Linden.
  • Higher depression rates are seen in Cuyahoga falls at 25.1% versus 0.0% in Linden.
  • Cuyahoga falls has a higher smoking rate at 18.5% compared to 0.0% in Linden.
  • More residents engage in binge drinking in Cuyahoga falls at 18.8% compared to 0.0% in Linden.
  • Cuyahoga falls has higher obesity rates at 41.1% compared to 0.0% in Linden.
  • There is a higher percentage of disabled individuals in Cuyahoga falls at 13.0% compared to 0.0% in Linden.

Education Levels

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

Education Level Linden Cuyahoga falls
No Schooling 0.0% (Data is updating) 1.6% (825)
High School Diploma 0.0% (Data is updating) 19.4% (9,813)
Less than High School 0.0% (Data is updating) 6.3% (3,197)
Bachelor's Degree and Higher 0.0% (Data is updating) 26.1% (13,215)

Education Levels Comparison: Linden vs Cuyahoga falls

  • In Cuyahoga falls, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Linden.
  • In Cuyahoga falls, the rate of residents with high school diplomas is higher at 19.4% compared to 0.0% in Linden.
  • The percentage of residents with less than a high school education is higher in Cuyahoga falls at 6.3%, compared to 0.0% in Linden.
  • In Cuyahoga falls, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 0.0% in Linden.

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.