Demographics details for Graysville, AL vs Flower mound, TX

Population Overview

Compare main population characteristics in Graysville, AL vs Flower mound, TX.

Data Graysville Flower mound
Population 1,885 78,486
Median Age 44.3 years 42.6 years
Median Income $65,671 $154,471
Married Families 70.0% 51.0%
Poverty Level Data is updating 4%
Unemployment Rate 3.5 3.7

Population Comparison: Graysville vs Flower mound

  • The population in Flower mound is higher at 78,486, compared to 1,885 in Graysville.
  • Residents in Graysville have a higher median age of 44.3 years compared to 42.6 years in Flower mound.
  • Flower mound has a higher median income of $154,471, compared to $65,671 in Graysville.
  • A higher percentage of married families is found in Graysville at 70.0% compared to 51.0% in Flower mound.
  • The poverty level is higher in Flower mound at 4%, compared to 0% in Graysville.
  • Flower mound has a higher unemployment rate at 3.7% compared to 3.5% in Graysville.

Demographics

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

Demographic Graysville Flower mound
Black 43 3
White 55 66
Asian Data is updating 13
Hispanic Data is updating 11
Two or More Races 2 7
American Indian Data is updating Data is updating

Demographics Comparison: Graysville vs Flower mound

  • A higher percentage of Black residents are in Graysville at 43% compared to 3% in Flower mound.
  • The percentage of White residents is higher in Flower mound at 66% compared to 55% in Graysville.
  • In Flower mound, the Asian population stands at 13%, greater than 0% in Graysville.
  • Flower mound has a higher percentage of Hispanic residents at 11%, compared to 0% in Graysville.
  • The percentage of residents identifying as two or more races is higher in Flower mound at 7%, compared to 2% in Graysville.
  • The percentage of American Indian residents is the same in both Graysville and Flower mound at 0%.

Health Statistics

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

Health Metric Graysville Flower mound
Mental Health Not Good 19.4% 13.3%
Physical Health Not Good 13.0% 7.7%
Depression 24.8% 21.1%
Smoking 19.6% 9.5%
Binge Drinking 15.8% 19.7%
Obesity 38.9% 28.5%
Disability Percentage 30.0% 6.0%

Health Statistics Comparison: Graysville vs Flower mound

  • More residents in Graysville report poor mental health at 19.4% compared to 13.3% in Flower mound.
  • Depression is more prevalent in Graysville at 24.8% compared to 21.1% in Flower mound.
  • Smoking is more prevalent in Graysville at 19.6% compared to 9.5% in Flower mound.
  • More residents engage in binge drinking in Flower mound at 19.7% compared to 15.8% in Graysville.
  • Obesity rates are higher in Graysville at 38.9% compared to 28.5% in Flower mound.
  • Disability percentages are higher in Graysville at 30.0% 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 Graysville Flower mound
No Schooling 2.7% (50) 0.7% (519)
High School Diploma 30.4% (573) 6.2% (4,886)
Less than High School 29.8% (561) 2.7% (2,090)
Bachelor's Degree and Higher 22.8% (430) 42.3% (33,161)

Education Levels Comparison: Graysville vs Flower mound

  • A higher percentage of residents in Graysville have no formal schooling at 2.7% compared to 0.7% in Flower mound.
  • A higher percentage of residents in Graysville hold a high school diploma at 30.4% compared to 6.2% in Flower mound.
  • More residents in Graysville have less than a high school education at 29.8% 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 22.8% in Graysville.

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.