Demographics details for Tuscaloosa, AL vs Warner robins, GA

Population Overview

Compare main population characteristics in Tuscaloosa, AL vs Warner robins, GA.

Data Tuscaloosa Warner robins
Population 110,602 82,175
Median Age 28.8 years 32.4 years
Median Income $47,257 $63,678
Married Families 26.0% 32.0%
Poverty Level 21% 8%
Unemployment Rate 3.5 3.8

Population Comparison: Tuscaloosa vs Warner robins

  • In Tuscaloosa, the population is higher at 110,602, compared to 82,175 in Warner robins.
  • The median age in Warner robins is higher at 32.4 years, compared to 28.8 years in Tuscaloosa.
  • Warner robins has a higher median income of $63,678, compared to $47,257 in Tuscaloosa.
  • In Warner robins, the percentage of married families is higher at 32.0%, compared to 26.0% in Tuscaloosa.
  • Tuscaloosa has a higher poverty level at 21% compared to 8% in Warner robins.
  • Warner robins has a higher unemployment rate at 3.8% compared to 3.5% in Tuscaloosa.

Demographics

Demographics Tuscaloosa vs Warner robins provide insight into the diversity of the communities to compare.

Demographic Tuscaloosa Warner robins
Black 41 40
White 49 42
Asian 3 3
Hispanic 4 7
Two or More Races 3 7
American Indian Data is updating 1

Demographics Comparison: Tuscaloosa vs Warner robins

  • A higher percentage of Black residents are in Tuscaloosa at 41% compared to 40% in Warner robins.
  • Tuscaloosa has a higher percentage of White residents at 49% compared to 42% in Warner robins.
  • Both Tuscaloosa and Warner robins have the same percentage of Asian residents at 3%.
  • Warner robins has a higher percentage of Hispanic residents at 7%, compared to 4% in Tuscaloosa.
  • The percentage of residents identifying as two or more races is higher in Warner robins at 7%, compared to 3% in Tuscaloosa.
  • In Warner robins, the percentage of American Indian residents is higher at 1%, compared to 0% in Tuscaloosa.

Health Statistics

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

Health Metric Tuscaloosa Warner robins
Mental Health Not Good 19.5% 17.6%
Physical Health Not Good 13.6% 13.1%
Depression 21.9% 22.1%
Smoking 19.6% 18.6%
Binge Drinking 14.4% 15.9%
Obesity 44.5% 39.9%
Disability Percentage 9.0% 12.0%

Health Statistics Comparison: Tuscaloosa vs Warner robins

  • More residents in Tuscaloosa report poor mental health at 19.5% compared to 17.6% in Warner robins.
  • Higher depression rates are seen in Warner robins at 22.1% versus 21.9% in Tuscaloosa.
  • Smoking is more prevalent in Tuscaloosa at 19.6% compared to 18.6% in Warner robins.
  • More residents engage in binge drinking in Warner robins at 15.9% compared to 14.4% in Tuscaloosa.
  • Obesity rates are higher in Tuscaloosa at 44.5% compared to 39.9% in Warner robins.
  • There is a higher percentage of disabled individuals in Warner robins at 12.0% 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 Warner robins
No Schooling 0.7% (721) 0.4% (335)
High School Diploma 12.5% (13,878) 14.9% (12,260)
Less than High School 6.1% (6,781) 7.0% (5,714)
Bachelor's Degree and Higher 20.3% (22,425) 19.2% (15,752)

Education Levels Comparison: Tuscaloosa vs Warner robins

  • A higher percentage of residents in Tuscaloosa have no formal schooling at 0.7% compared to 0.4% in Warner robins.
  • In Warner robins, the rate of residents with high school diplomas is higher at 14.9% compared to 12.5% in Tuscaloosa.
  • The percentage of residents with less than a high school education is higher in Warner robins at 7.0%, compared to 6.1% in Tuscaloosa.
  • A higher percentage of residents in Tuscaloosa hold a bachelor's degree or higher at 20.3% compared to 19.2% in Warner robins.

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.