Demographics details for Woodbury, TN vs Flower mound, TX

Population Overview

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

Data Woodbury Flower mound
Population 2,804 78,486
Median Age 35.1 years 42.6 years
Median Income $51,528 $154,471
Married Families 25.0% 51.0%
Poverty Level 10% 4%
Unemployment Rate 3.2 3.7

Population Comparison: Woodbury vs Flower mound

  • The population in Flower mound is higher at 78,486, compared to 2,804 in Woodbury.
  • The median age in Flower mound is higher at 42.6 years, compared to 35.1 years in Woodbury.
  • Flower mound has a higher median income of $154,471, compared to $51,528 in Woodbury.
  • In Flower mound, the percentage of married families is higher at 51.0%, compared to 25.0% in Woodbury.
  • Woodbury has a higher poverty level at 10% compared to 4% in Flower mound.
  • Flower mound has a higher unemployment rate at 3.7% compared to 3.2% in Woodbury.

Demographics

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

Demographic Woodbury Flower mound
Black 4 3
White 89 66
Asian Data is updating 13
Hispanic 4 11
Two or More Races 3 7
American Indian Data is updating Data is updating

Demographics Comparison: Woodbury vs Flower mound

  • A higher percentage of Black residents are in Woodbury at 4% compared to 3% in Flower mound.
  • Woodbury has a higher percentage of White residents at 89% compared to 66% in Flower mound.
  • In Flower mound, the Asian population stands at 13%, greater than 0% in Woodbury.
  • Flower mound has a higher percentage of Hispanic residents at 11%, compared to 4% in Woodbury.
  • The percentage of residents identifying as two or more races is higher in Flower mound at 7%, compared to 3% in Woodbury.
  • The percentage of American Indian residents is the same in both Woodbury and Flower mound at 0%.

Health Statistics

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

Health Metric Woodbury Flower mound
Mental Health Not Good 20.1% 13.3%
Physical Health Not Good 13.9% 7.7%
Depression 30.2% 21.1%
Smoking 23.4% 9.5%
Binge Drinking 15.6% 19.7%
Obesity 35.6% 28.5%
Disability Percentage 19.0% 6.0%

Health Statistics Comparison: Woodbury vs Flower mound

  • More residents in Woodbury report poor mental health at 20.1% compared to 13.3% in Flower mound.
  • Depression is more prevalent in Woodbury at 30.2% compared to 21.1% in Flower mound.
  • Smoking is more prevalent in Woodbury at 23.4% compared to 9.5% in Flower mound.
  • More residents engage in binge drinking in Flower mound at 19.7% compared to 15.6% in Woodbury.
  • Obesity rates are higher in Woodbury at 35.6% compared to 28.5% in Flower mound.
  • Disability percentages are higher in Woodbury at 19.0% 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 Woodbury Flower mound
No Schooling 0.7% (21) 0.7% (519)
High School Diploma 28.8% (807) 6.2% (4,886)
Less than High School 17.9% (502) 2.7% (2,090)
Bachelor's Degree and Higher 9.7% (271) 42.3% (33,161)

Education Levels Comparison: Woodbury vs Flower mound

  • The percentage of residents with no formal schooling is the same in both Woodbury and Flower mound at 0.7%.
  • A higher percentage of residents in Woodbury hold a high school diploma at 28.8% compared to 6.2% in Flower mound.
  • More residents in Woodbury have less than a high school education at 17.9% 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 9.7% in Woodbury.

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.