Demographics details for Flower mound, TX vs Springhill, LA

Population Overview

Compare main population characteristics in Flower mound, TX vs Springhill, LA.

Data Flower mound Springhill
Population 78,486 4,575
Median Age 42.6 years 46.1 years
Median Income $154,471 $27,868
Married Families 51.0% 34.0%
Poverty Level 4% 20%
Unemployment Rate 3.7 5.2

Population Comparison: Flower mound vs Springhill

  • In Flower mound, the population is higher at 78,486, compared to 4,575 in Springhill.
  • The median age in Springhill is higher at 46.1 years, compared to 42.6 years in Flower mound.
  • Flower mound has a higher median income of $154,471 compared to $27,868 in Springhill.
  • A higher percentage of married families is found in Flower mound at 51.0% compared to 34.0% in Springhill.
  • The poverty level is higher in Springhill at 20%, compared to 4% in Flower mound.
  • Springhill has a higher unemployment rate at 5.2% compared to 3.7% in Flower mound.

Demographics

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

Demographic Flower mound Springhill
Black 3 34
White 66 55
Asian 13 Data is updating
Hispanic 11 8
Two or More Races 7 2
American Indian Data is updating 1

Demographics Comparison: Flower mound vs Springhill

  • In Springhill, the percentage of Black residents is higher at 34% compared to 3% in Flower mound.
  • Flower mound has a higher percentage of White residents at 66% compared to 55% in Springhill.
  • The Asian population is larger in Flower mound at 13% compared to 0% in Springhill.
  • The Hispanic community is larger in Flower mound at 11% compared to 8% in Springhill.
  • More residents identify as two or more races in Flower mound at 7% compared to 2% in Springhill.
  • In Springhill, the percentage of American Indian residents is higher at 1%, compared to 0% in Flower mound.

Health Statistics

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

Health Metric Flower mound Springhill
Mental Health Not Good 13.3% 23.7%
Physical Health Not Good 7.7% 18.7%
Depression 21.1% 29.9%
Smoking 9.5% 31.4%
Binge Drinking 19.7% 15.2%
Obesity 28.5% 45.4%
Disability Percentage 6.0% 21.0%

Health Statistics Comparison: Flower mound vs Springhill

  • In Springhill, a higher percentage report poor mental health at 23.7% compared to 13.3% in Flower mound.
  • Higher depression rates are seen in Springhill at 29.9% versus 21.1% in Flower mound.
  • Springhill has a higher smoking rate at 31.4% compared to 9.5% in Flower mound.
  • Binge drinking is more common in Flower mound at 19.7% compared to 15.2% in Springhill.
  • Springhill has higher obesity rates at 45.4% compared to 28.5% in Flower mound.
  • There is a higher percentage of disabled individuals in Springhill at 21.0% 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 Flower mound Springhill
No Schooling 0.7% (519) 2.3% (104)
High School Diploma 6.2% (4,886) 22.5% (1,028)
Less than High School 2.7% (2,090) 24.5% (1,122)
Bachelor's Degree and Higher 42.3% (33,161) 6.1% (277)

Education Levels Comparison: Flower mound vs Springhill

  • In Springhill, a larger percentage of residents lack formal schooling at 2.3% compared to 0.7% in Flower mound.
  • In Springhill, the rate of residents with high school diplomas is higher at 22.5% compared to 6.2% in Flower mound.
  • The percentage of residents with less than a high school education is higher in Springhill at 24.5%, compared to 2.7% in Flower mound.
  • A higher percentage of residents in Flower mound hold a bachelor's degree or higher at 42.3% compared to 6.1% in Springhill.

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.