Demographics details for Campbellsville, KY vs Flower mound, TX

Population Overview

Compare main population characteristics in Campbellsville, KY vs Flower mound, TX.

Data Campbellsville Flower mound
Population 11,599 78,486
Median Age 36.3 years 42.6 years
Median Income $53,254 $154,471
Married Families 30.0% 51.0%
Poverty Level Data is updating 4%
Unemployment Rate 3.5 3.7

Population Comparison: Campbellsville vs Flower mound

  • The population in Flower mound is higher at 78,486, compared to 11,599 in Campbellsville.
  • The median age in Flower mound is higher at 42.6 years, compared to 36.3 years in Campbellsville.
  • Flower mound has a higher median income of $154,471, compared to $53,254 in Campbellsville.
  • In Flower mound, the percentage of married families is higher at 51.0%, compared to 30.0% in Campbellsville.
  • The poverty level is higher in Flower mound at 4%, compared to 0% in Campbellsville.
  • Flower mound has a higher unemployment rate at 3.7% compared to 3.5% in Campbellsville.

Demographics

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

Demographic Campbellsville Flower mound
Black 9 3
White 84 66
Asian 1 13
Hispanic 1 11
Two or More Races 5 7
American Indian Data is updating Data is updating

Demographics Comparison: Campbellsville vs Flower mound

  • A higher percentage of Black residents are in Campbellsville at 9% compared to 3% in Flower mound.
  • Campbellsville has a higher percentage of White residents at 84% compared to 66% in Flower mound.
  • In Flower mound, the Asian population stands at 13%, greater than 1% in Campbellsville.
  • Flower mound has a higher percentage of Hispanic residents at 11%, compared to 1% in Campbellsville.
  • The percentage of residents identifying as two or more races is higher in Flower mound at 7%, compared to 5% in Campbellsville.
  • The percentage of American Indian residents is the same in both Campbellsville and Flower mound at 0%.

Health Statistics

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

Health Metric Campbellsville Flower mound
Mental Health Not Good 19.9% 13.3%
Physical Health Not Good 14.5% 7.7%
Depression 29.2% 21.1%
Smoking 23.0% 9.5%
Binge Drinking 15.0% 19.7%
Obesity 41.1% 28.5%
Disability Percentage 24.0% 6.0%

Health Statistics Comparison: Campbellsville vs Flower mound

  • More residents in Campbellsville report poor mental health at 19.9% compared to 13.3% in Flower mound.
  • Depression is more prevalent in Campbellsville at 29.2% compared to 21.1% in Flower mound.
  • Smoking is more prevalent in Campbellsville at 23.0% compared to 9.5% in Flower mound.
  • More residents engage in binge drinking in Flower mound at 19.7% compared to 15.0% in Campbellsville.
  • Obesity rates are higher in Campbellsville at 41.1% compared to 28.5% in Flower mound.
  • Disability percentages are higher in Campbellsville at 24.0% 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 Campbellsville Flower mound
No Schooling 0.3% (38) 0.7% (519)
High School Diploma 12.6% (1,460) 6.2% (4,886)
Less than High School 19.6% (2,276) 2.7% (2,090)
Bachelor's Degree and Higher 16.3% (1,896) 42.3% (33,161)

Education Levels Comparison: Campbellsville vs Flower mound

  • In Flower mound, a larger percentage of residents lack formal schooling at 0.7% compared to 0.3% in Campbellsville.
  • A higher percentage of residents in Campbellsville hold a high school diploma at 12.6% compared to 6.2% in Flower mound.
  • More residents in Campbellsville have less than a high school education at 19.6% 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 16.3% in Campbellsville.

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.