Demographics details for Tuscaloosa, AL vs Ridgefield, CT

Population Overview

Compare main population characteristics in Tuscaloosa, AL vs Ridgefield, CT.

Data Tuscaloosa Ridgefield
Population 110,602 24,638
Median Age 28.8 years Data is updating
Median Income $47,257 $Data is updating
Married Families 26.0% Data is updating
Poverty Level 21% Data is updating
Unemployment Rate 3.5 2.5

Population Comparison: Tuscaloosa vs Ridgefield

  • In Tuscaloosa, the population is higher at 110,602, compared to 24,638 in Ridgefield.
  • Residents in Tuscaloosa have a higher median age of 28.8 years compared to 0.0 years in Ridgefield.
  • Tuscaloosa has a higher median income of $47,257 compared to $0 in Ridgefield.
  • A higher percentage of married families is found in Tuscaloosa at 26.0% compared to 0.0% in Ridgefield.
  • Tuscaloosa has a higher poverty level at 21% compared to 0% in Ridgefield.
  • The unemployment rate in Tuscaloosa is higher at 3.5%, compared to 2.5% in Ridgefield.

Demographics

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

Demographic Tuscaloosa Ridgefield
Black 41 Data is updating
White 49 100
Asian 3 Data is updating
Hispanic 4 Data is updating
Two or More Races 3 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Tuscaloosa vs Ridgefield

  • A higher percentage of Black residents are in Tuscaloosa at 41% compared to 0% in Ridgefield.
  • The percentage of White residents is higher in Ridgefield at 100% compared to 49% in Tuscaloosa.
  • The Asian population is larger in Tuscaloosa at 3% compared to 0% in Ridgefield.
  • The Hispanic community is larger in Tuscaloosa at 4% compared to 0% in Ridgefield.
  • More residents identify as two or more races in Tuscaloosa at 3% compared to 0% in Ridgefield.
  • The percentage of American Indian residents is the same in both Tuscaloosa and Ridgefield at 0%.

Health Statistics

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

Health Metric Tuscaloosa Ridgefield
Mental Health Not Good 19.5% Data is updating%
Physical Health Not Good 13.6% Data is updating%
Depression 21.9% Data is updating%
Smoking 19.6% Data is updating%
Binge Drinking 14.4% Data is updating%
Obesity 44.5% Data is updating%
Disability Percentage 9.0% Data is updating%

Health Statistics Comparison: Tuscaloosa vs Ridgefield

  • More residents in Tuscaloosa report poor mental health at 19.5% compared to 0.0% in Ridgefield.
  • Depression is more prevalent in Tuscaloosa at 21.9% compared to 0.0% in Ridgefield.
  • Smoking is more prevalent in Tuscaloosa at 19.6% compared to 0.0% in Ridgefield.
  • Binge drinking is more common in Tuscaloosa at 14.4% compared to 0.0% in Ridgefield.
  • Obesity rates are higher in Tuscaloosa at 44.5% compared to 0.0% in Ridgefield.
  • Disability percentages are higher in Tuscaloosa at 9.0% compared to 0.0% in Ridgefield.

Education Levels

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

Education Level Tuscaloosa Ridgefield
No Schooling 0.7% (721) 0.0% (Data is updating)
High School Diploma 12.5% (13,878) 0.0% (Data is updating)
Less than High School 6.1% (6,781) 0.0% (Data is updating)
Bachelor's Degree and Higher 20.3% (22,425) 0.0% (Data is updating)

Education Levels Comparison: Tuscaloosa vs Ridgefield

  • A higher percentage of residents in Tuscaloosa have no formal schooling at 0.7% compared to 0.0% in Ridgefield.
  • A higher percentage of residents in Tuscaloosa hold a high school diploma at 12.5% compared to 0.0% in Ridgefield.
  • More residents in Tuscaloosa have less than a high school education at 6.1% compared to 0.0% in Ridgefield.
  • A higher percentage of residents in Tuscaloosa hold a bachelor's degree or higher at 20.3% compared to 0.0% in Ridgefield.

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.