Demographics details for Chattanooga, TN vs Flower mound, TX

Population Overview

Compare main population characteristics in Chattanooga, TN vs Flower mound, TX.

Data Chattanooga Flower mound
Population 184,086 78,486
Median Age 37.0 years 42.6 years
Median Income $57,703 $154,471
Married Families 31.0% 51.0%
Poverty Level 18% 4%
Unemployment Rate 4.0 3.7

Population Comparison: Chattanooga vs Flower mound

  • In Chattanooga, the population is higher at 184,086, compared to 78,486 in Flower mound.
  • The median age in Flower mound is higher at 42.6 years, compared to 37.0 years in Chattanooga.
  • Flower mound has a higher median income of $154,471, compared to $57,703 in Chattanooga.
  • In Flower mound, the percentage of married families is higher at 51.0%, compared to 31.0% in Chattanooga.
  • Chattanooga has a higher poverty level at 18% compared to 4% in Flower mound.
  • The unemployment rate in Chattanooga is higher at 4.0%, compared to 3.7% in Flower mound.

Demographics

Demographics Chattanooga vs Flower mound provide insight into the diversity of the communities to compare.

Demographic Chattanooga Flower mound
Black 29 3
White 56 66
Asian 2 13
Hispanic 7 11
Two or More Races 6 7
American Indian Data is updating Data is updating

Demographics Comparison: Chattanooga vs Flower mound

  • A higher percentage of Black residents are in Chattanooga at 29% compared to 3% in Flower mound.
  • The percentage of White residents is higher in Flower mound at 66% compared to 56% in Chattanooga.
  • In Flower mound, the Asian population stands at 13%, greater than 2% in Chattanooga.
  • Flower mound has a higher percentage of Hispanic residents at 11%, compared to 7% in Chattanooga.
  • The percentage of residents identifying as two or more races is higher in Flower mound at 7%, compared to 6% in Chattanooga.
  • The percentage of American Indian residents is the same in both Chattanooga and Flower mound at 0%.

Health Statistics

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

Health Metric Chattanooga Flower mound
Mental Health Not Good 18.0% 13.3%
Physical Health Not Good 13.2% 7.7%
Depression 25.9% 21.1%
Smoking 19.5% 9.5%
Binge Drinking 14.5% 19.7%
Obesity 38.1% 28.5%
Disability Percentage 15.0% 6.0%

Health Statistics Comparison: Chattanooga vs Flower mound

  • More residents in Chattanooga report poor mental health at 18.0% compared to 13.3% in Flower mound.
  • Depression is more prevalent in Chattanooga at 25.9% compared to 21.1% in Flower mound.
  • Smoking is more prevalent in Chattanooga at 19.5% compared to 9.5% in Flower mound.
  • More residents engage in binge drinking in Flower mound at 19.7% compared to 14.5% in Chattanooga.
  • Obesity rates are higher in Chattanooga at 38.1% compared to 28.5% in Flower mound.
  • Disability percentages are higher in Chattanooga at 15.0% compared to 6.0% in Flower mound.

Education Levels

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

Education Level Chattanooga Flower mound
No Schooling 0.9% (1,744) 0.7% (519)
High School Diploma 13.9% (25,521) 6.2% (4,886)
Less than High School 11.8% (21,703) 2.7% (2,090)
Bachelor's Degree and Higher 23.4% (43,030) 42.3% (33,161)

Education Levels Comparison: Chattanooga vs Flower mound

  • A higher percentage of residents in Chattanooga have no formal schooling at 0.9% compared to 0.7% in Flower mound.
  • A higher percentage of residents in Chattanooga hold a high school diploma at 13.9% compared to 6.2% in Flower mound.
  • More residents in Chattanooga have less than a high school education at 11.8% compared to 2.7% in Flower mound.
  • In Flower mound, a larger share of residents have a bachelor's degree or higher at 42.3% compared to 23.4% in Chattanooga.

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.