Demographics details for Cuyahoga falls, OH vs Sugar land, TX

Population Overview

Compare main population characteristics in Cuyahoga falls, OH vs Sugar land, TX.

Data Cuyahoga falls Sugar land
Population 50,655 109,414
Median Age 37.8 years 42.5 years
Median Income $67,922 $132,247
Married Families 41.0% 52.0%
Poverty Level 7% 6%
Unemployment Rate 4.8 4.0

Population Comparison: Cuyahoga falls vs Sugar land

  • The population in Sugar land is higher at 109,414, compared to 50,655 in Cuyahoga falls.
  • The median age in Sugar land is higher at 42.5 years, compared to 37.8 years in Cuyahoga falls.
  • Sugar land has a higher median income of $132,247, compared to $67,922 in Cuyahoga falls.
  • In Sugar land, the percentage of married families is higher at 52.0%, compared to 41.0% in Cuyahoga falls.
  • Cuyahoga falls has a higher poverty level at 7% compared to 6% in Sugar land.
  • The unemployment rate in Cuyahoga falls is higher at 4.8%, compared to 4.0% in Sugar land.

Demographics

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

Demographic Cuyahoga falls Sugar land
Black 5 7
White 81 33
Asian 6 39
Hispanic 3 13
Two or More Races 5 8
American Indian Data is updating Data is updating

Demographics Comparison: Cuyahoga falls vs Sugar land

  • In Sugar land, the percentage of Black residents is higher at 7% compared to 5% in Cuyahoga falls.
  • Cuyahoga falls has a higher percentage of White residents at 81% compared to 33% in Sugar land.
  • In Sugar land, the Asian population stands at 39%, greater than 6% in Cuyahoga falls.
  • Sugar land has a higher percentage of Hispanic residents at 13%, compared to 3% in Cuyahoga falls.
  • The percentage of residents identifying as two or more races is higher in Sugar land at 8%, compared to 5% in Cuyahoga falls.
  • The percentage of American Indian residents is the same in both Cuyahoga falls and Sugar land at 0%.

Health Statistics

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

Health Metric Cuyahoga falls Sugar land
Mental Health Not Good 17.1% 12.5%
Physical Health Not Good 11.1% 7.4%
Depression 25.1% 16.9%
Smoking 18.5% 9.6%
Binge Drinking 18.8% 16.0%
Obesity 41.1% 25.0%
Disability Percentage 13.0% 7.0%

Health Statistics Comparison: Cuyahoga falls vs Sugar land

  • More residents in Cuyahoga falls report poor mental health at 17.1% compared to 12.5% in Sugar land.
  • Depression is more prevalent in Cuyahoga falls at 25.1% compared to 16.9% in Sugar land.
  • Smoking is more prevalent in Cuyahoga falls at 18.5% compared to 9.6% in Sugar land.
  • Binge drinking is more common in Cuyahoga falls at 18.8% compared to 16.0% in Sugar land.
  • Obesity rates are higher in Cuyahoga falls at 41.1% compared to 25.0% in Sugar land.
  • Disability percentages are higher in Cuyahoga falls at 13.0% compared to 7.0% in Sugar land.

Education Levels

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

Education Level Cuyahoga falls Sugar land
No Schooling 1.6% (825) 1.2% (1,314)
High School Diploma 19.4% (9,813) 7.3% (7,972)
Less than High School 6.3% (3,197) 4.3% (4,753)
Bachelor's Degree and Higher 26.1% (13,215) 42.8% (46,851)

Education Levels Comparison: Cuyahoga falls vs Sugar land

  • A higher percentage of residents in Cuyahoga falls have no formal schooling at 1.6% compared to 1.2% in Sugar land.
  • A higher percentage of residents in Cuyahoga falls hold a high school diploma at 19.4% compared to 7.3% in Sugar land.
  • More residents in Cuyahoga falls have less than a high school education at 6.3% compared to 4.3% in Sugar land.
  • In Sugar land, a larger share of residents have a bachelor's degree or higher at 42.8% compared to 26.1% in Cuyahoga falls.

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.