Demographics details for Cuyahoga falls, OH vs Ortonville, MI

Population Overview

Compare main population characteristics in Cuyahoga falls, OH vs Ortonville, MI.

Data Cuyahoga falls Ortonville
Population 50,655 1,331
Median Age 37.8 years 42.4 years
Median Income $67,922 $92,411
Married Families 41.0% 39.0%
Poverty Level 7% 7%
Unemployment Rate 4.8 4.2

Population Comparison: Cuyahoga falls vs Ortonville

  • In Cuyahoga falls, the population is higher at 50,655, compared to 1,331 in Ortonville.
  • The median age in Ortonville is higher at 42.4 years, compared to 37.8 years in Cuyahoga falls.
  • Ortonville has a higher median income of $92,411, compared to $67,922 in Cuyahoga falls.
  • A higher percentage of married families is found in Cuyahoga falls at 41.0% compared to 39.0% in Ortonville.
  • The poverty level is identical in both Cuyahoga falls and Ortonville at 7%.
  • The unemployment rate in Cuyahoga falls is higher at 4.8%, compared to 4.2% in Ortonville.

Demographics

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

Demographic Cuyahoga falls Ortonville
Black 5 Data is updating
White 81 88
Asian 6 Data is updating
Hispanic 3 6
Two or More Races 5 6
American Indian Data is updating Data is updating

Demographics Comparison: Cuyahoga falls vs Ortonville

  • A higher percentage of Black residents are in Cuyahoga falls at 5% compared to 0% in Ortonville.
  • The percentage of White residents is higher in Ortonville at 88% compared to 81% in Cuyahoga falls.
  • The Asian population is larger in Cuyahoga falls at 6% compared to 0% in Ortonville.
  • Ortonville has a higher percentage of Hispanic residents at 6%, compared to 3% in Cuyahoga falls.
  • The percentage of residents identifying as two or more races is higher in Ortonville at 6%, compared to 5% in Cuyahoga falls.
  • The percentage of American Indian residents is the same in both Cuyahoga falls and Ortonville at 0%.

Health Statistics

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

Health Metric Cuyahoga falls Ortonville
Mental Health Not Good 17.1% 17.6%
Physical Health Not Good 11.1% 11.2%
Depression 25.1% 24.2%
Smoking 18.5% 18.3%
Binge Drinking 18.8% 18.4%
Obesity 41.1% 33.3%
Disability Percentage 13.0% 8.0%

Health Statistics Comparison: Cuyahoga falls vs Ortonville

  • In Ortonville, a higher percentage report poor mental health at 17.6% compared to 17.1% in Cuyahoga falls.
  • Depression is more prevalent in Cuyahoga falls at 25.1% compared to 24.2% in Ortonville.
  • Smoking is more prevalent in Cuyahoga falls at 18.5% compared to 18.3% in Ortonville.
  • Binge drinking is more common in Cuyahoga falls at 18.8% compared to 18.4% in Ortonville.
  • Obesity rates are higher in Cuyahoga falls at 41.1% compared to 33.3% in Ortonville.
  • Disability percentages are higher in Cuyahoga falls at 13.0% compared to 8.0% in Ortonville.

Education Levels

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

Education Level Cuyahoga falls Ortonville
No Schooling 1.6% (825) 1.4% (18)
High School Diploma 19.4% (9,813) 15.2% (202)
Less than High School 6.3% (3,197) 8.9% (118)
Bachelor's Degree and Higher 26.1% (13,215) 16.8% (223)

Education Levels Comparison: Cuyahoga falls vs Ortonville

  • A higher percentage of residents in Cuyahoga falls have no formal schooling at 1.6% compared to 1.4% in Ortonville.
  • A higher percentage of residents in Cuyahoga falls hold a high school diploma at 19.4% compared to 15.2% in Ortonville.
  • The percentage of residents with less than a high school education is higher in Ortonville at 8.9%, compared to 6.3% in Cuyahoga falls.
  • A higher percentage of residents in Cuyahoga falls hold a bachelor's degree or higher at 26.1% compared to 16.8% in Ortonville.

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.