Demographics details for Flower mound, TX vs Faulkner, MD

Population Overview

Compare main population characteristics in Flower mound, TX vs Faulkner, MD.

Data Flower mound Faulkner
Population 78,486 312
Median Age 42.6 years 40.0 years
Median Income $154,471 $80,000
Married Families 51.0% 60.0%
Poverty Level 4% 5%
Unemployment Rate 3.7 3.0

Population Comparison: Flower mound vs Faulkner

  • In Flower mound, the population is higher at 78,486, compared to 312 in Faulkner.
  • Residents in Flower mound have a higher median age of 42.6 years compared to 40.0 years in Faulkner.
  • Flower mound has a higher median income of $154,471 compared to $80,000 in Faulkner.
  • In Faulkner, the percentage of married families is higher at 60.0%, compared to 51.0% in Flower mound.
  • The poverty level is higher in Faulkner at 5%, compared to 4% in Flower mound.
  • The unemployment rate in Flower mound is higher at 3.7%, compared to 3.0% in Faulkner.

Demographics

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

Demographic Flower mound Faulkner
Black 3 15
White 66 80
Asian 13 2
Hispanic 11 2
Two or More Races 7 1
American Indian Data is updating Data is updating

Demographics Comparison: Flower mound vs Faulkner

  • In Faulkner, the percentage of Black residents is higher at 15% compared to 3% in Flower mound.
  • The percentage of White residents is higher in Faulkner at 80% compared to 66% in Flower mound.
  • The Asian population is larger in Flower mound at 13% compared to 2% in Faulkner.
  • The Hispanic community is larger in Flower mound at 11% compared to 2% in Faulkner.
  • More residents identify as two or more races in Flower mound at 7% compared to 1% in Faulkner.
  • The percentage of American Indian residents is the same in both Flower mound and Faulkner at 0%.

Health Statistics

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

Health Metric Flower mound Faulkner
Mental Health Not Good 13.3% Data is updating%
Physical Health Not Good 7.7% Data is updating%
Depression 21.1% Data is updating%
Smoking 9.5% Data is updating%
Binge Drinking 19.7% Data is updating%
Obesity 28.5% Data is updating%
Disability Percentage 6.0% Data is updating%

Health Statistics Comparison: Flower mound vs Faulkner

  • More residents in Flower mound report poor mental health at 13.3% compared to 0.0% in Faulkner.
  • Depression is more prevalent in Flower mound at 21.1% compared to 0.0% in Faulkner.
  • Smoking is more prevalent in Flower mound at 9.5% compared to 0.0% in Faulkner.
  • Binge drinking is more common in Flower mound at 19.7% compared to 0.0% in Faulkner.
  • Obesity rates are higher in Flower mound at 28.5% compared to 0.0% in Faulkner.
  • Disability percentages are higher in Flower mound at 6.0% compared to 0.0% in Faulkner.

Education Levels

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

Education Level Flower mound Faulkner
No Schooling 0.7% (519) 0.0% (Data is updating)
High School Diploma 6.2% (4,886) 0.0% (Data is updating)
Less than High School 2.7% (2,090) 0.0% (Data is updating)
Bachelor's Degree and Higher 42.3% (33,161) 0.0% (Data is updating)

Education Levels Comparison: Flower mound vs Faulkner

  • A higher percentage of residents in Flower mound have no formal schooling at 0.7% compared to 0.0% in Faulkner.
  • A higher percentage of residents in Flower mound hold a high school diploma at 6.2% compared to 0.0% in Faulkner.
  • More residents in Flower mound have less than a high school education at 2.7% compared to 0.0% in Faulkner.
  • A higher percentage of residents in Flower mound hold a bachelor's degree or higher at 42.3% compared to 0.0% in Faulkner.

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.