Demographics details for Tuscaloosa, AL vs Cleveland heights, OH

Population Overview

Compare main population characteristics in Tuscaloosa, AL vs Cleveland heights, OH.

Data Tuscaloosa Cleveland heights
Population 110,602 44,201
Median Age 28.8 years 36.7 years
Median Income $47,257 $69,155
Married Families 26.0% 33.0%
Poverty Level 21% 13%
Unemployment Rate 3.5 4.6

Population Comparison: Tuscaloosa vs Cleveland heights

  • In Tuscaloosa, the population is higher at 110,602, compared to 44,201 in Cleveland heights.
  • The median age in Cleveland heights is higher at 36.7 years, compared to 28.8 years in Tuscaloosa.
  • Cleveland heights has a higher median income of $69,155, compared to $47,257 in Tuscaloosa.
  • In Cleveland heights, the percentage of married families is higher at 33.0%, compared to 26.0% in Tuscaloosa.
  • Tuscaloosa has a higher poverty level at 21% compared to 13% in Cleveland heights.
  • Cleveland heights has a higher unemployment rate at 4.6% compared to 3.5% in Tuscaloosa.

Demographics

Demographics Tuscaloosa vs Cleveland heights provide insight into the diversity of the communities to compare.

Demographic Tuscaloosa Cleveland heights
Black 41 42
White 49 46
Asian 3 5
Hispanic 4 3
Two or More Races 3 4
American Indian Data is updating Data is updating

Demographics Comparison: Tuscaloosa vs Cleveland heights

  • In Cleveland heights, the percentage of Black residents is higher at 42% compared to 41% in Tuscaloosa.
  • Tuscaloosa has a higher percentage of White residents at 49% compared to 46% in Cleveland heights.
  • In Cleveland heights, the Asian population stands at 5%, greater than 3% in Tuscaloosa.
  • The Hispanic community is larger in Tuscaloosa at 4% compared to 3% in Cleveland heights.
  • The percentage of residents identifying as two or more races is higher in Cleveland heights at 4%, compared to 3% in Tuscaloosa.
  • The percentage of American Indian residents is the same in both Tuscaloosa and Cleveland heights at 0%.

Health Statistics

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

Health Metric Tuscaloosa Cleveland heights
Mental Health Not Good 19.5% 15.7%
Physical Health Not Good 13.6% 10.9%
Depression 21.9% 21.8%
Smoking 19.6% 16.0%
Binge Drinking 14.4% 16.7%
Obesity 44.5% 34.5%
Disability Percentage 9.0% 11.0%

Health Statistics Comparison: Tuscaloosa vs Cleveland heights

  • More residents in Tuscaloosa report poor mental health at 19.5% compared to 15.7% in Cleveland heights.
  • Depression is more prevalent in Tuscaloosa at 21.9% compared to 21.8% in Cleveland heights.
  • Smoking is more prevalent in Tuscaloosa at 19.6% compared to 16.0% in Cleveland heights.
  • More residents engage in binge drinking in Cleveland heights at 16.7% compared to 14.4% in Tuscaloosa.
  • Obesity rates are higher in Tuscaloosa at 44.5% compared to 34.5% in Cleveland heights.
  • There is a higher percentage of disabled individuals in Cleveland heights at 11.0% compared to 9.0% in Tuscaloosa.

Education Levels

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

Education Level Tuscaloosa Cleveland heights
No Schooling 0.7% (721) 0.4% (157)
High School Diploma 12.5% (13,878) 9.5% (4,183)
Less than High School 6.1% (6,781) 3.7% (1,638)
Bachelor's Degree and Higher 20.3% (22,425) 39.6% (17,513)

Education Levels Comparison: Tuscaloosa vs Cleveland heights

  • A higher percentage of residents in Tuscaloosa have no formal schooling at 0.7% compared to 0.4% in Cleveland heights.
  • A higher percentage of residents in Tuscaloosa hold a high school diploma at 12.5% compared to 9.5% in Cleveland heights.
  • More residents in Tuscaloosa have less than a high school education at 6.1% compared to 3.7% in Cleveland heights.
  • In Cleveland heights, a larger share of residents have a bachelor's degree or higher at 39.6% compared to 20.3% in Tuscaloosa.

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.