Demographics details for Glen arm, MD vs Flower mound, TX

Population Overview

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

Data Glen arm Flower mound
Population 1,952 78,486
Median Age 42.0 years 42.6 years
Median Income $114,000 $154,471
Married Families 500.0% 51.0%
Poverty Level 2% 4%
Unemployment Rate 3.5 3.7

Population Comparison: Glen arm vs Flower mound

  • The population in Flower mound is higher at 78,486, compared to 1,952 in Glen arm.
  • The median age in Flower mound is higher at 42.6 years, compared to 42.0 years in Glen arm.
  • Flower mound has a higher median income of $154,471, compared to $114,000 in Glen arm.
  • A higher percentage of married families is found in Glen arm at 500.0% compared to 51.0% in Flower mound.
  • The poverty level is higher in Flower mound at 4%, compared to 2% in Glen arm.
  • Flower mound has a higher unemployment rate at 3.7% compared to 3.5% in Glen arm.

Demographics

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

Demographic Glen arm Flower mound
Black 10 3
White 80 66
Asian 5 13
Hispanic 3 11
Two or More Races 2 7
American Indian Data is updating Data is updating

Demographics Comparison: Glen arm vs Flower mound

  • A higher percentage of Black residents are in Glen arm at 10% compared to 3% in Flower mound.
  • Glen arm has a higher percentage of White residents at 80% compared to 66% in Flower mound.
  • In Flower mound, the Asian population stands at 13%, greater than 5% in Glen arm.
  • Flower mound has a higher percentage of Hispanic residents at 11%, compared to 3% in Glen arm.
  • The percentage of residents identifying as two or more races is higher in Flower mound at 7%, compared to 2% in Glen arm.
  • The percentage of American Indian residents is the same in both Glen arm and Flower mound at 0%.

Health Statistics

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

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

Health Statistics Comparison: Glen arm vs Flower mound

  • In Flower mound, a higher percentage report poor mental health at 13.3% compared to 0.0% in Glen arm.
  • Higher depression rates are seen in Flower mound at 21.1% versus 0.0% in Glen arm.
  • Flower mound has a higher smoking rate at 9.5% compared to 0.0% in Glen arm.
  • More residents engage in binge drinking in Flower mound at 19.7% compared to 0.0% in Glen arm.
  • Flower mound has higher obesity rates at 28.5% compared to 0.0% in Glen arm.
  • There is a higher percentage of disabled individuals in Flower mound at 6.0% compared to 0.0% in Glen arm.

Education Levels

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

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

Education Levels Comparison: Glen arm vs Flower mound

  • In Flower mound, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Glen arm.
  • In Flower mound, the rate of residents with high school diplomas is higher at 6.2% compared to 0.0% in Glen arm.
  • The percentage of residents with less than a high school education is higher in Flower mound at 2.7%, compared to 0.0% in Glen arm.
  • In Flower mound, a larger share of residents have a bachelor's degree or higher at 42.3% compared to 0.0% in Glen arm.

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.