Demographics details for Ridgefield, CT vs Flower mound, TX

Population Overview

Compare main population characteristics in Ridgefield, CT vs Flower mound, TX.

Data Ridgefield Flower mound
Population 24,638 78,486
Median Age Data is updating 42.6 years
Median Income $Data is updating $154,471
Married Families Data is updating 51.0%
Poverty Level Data is updating 4%
Unemployment Rate 2.5 3.7

Population Comparison: Ridgefield vs Flower mound

  • The population in Flower mound is higher at 78,486, compared to 24,638 in Ridgefield.
  • The median age in Flower mound is higher at 42.6 years, compared to 0.0 years in Ridgefield.
  • Flower mound has a higher median income of $154,471, compared to $0 in Ridgefield.
  • In Flower mound, the percentage of married families is higher at 51.0%, compared to 0.0% in Ridgefield.
  • The poverty level is higher in Flower mound at 4%, compared to 0% in Ridgefield.
  • Flower mound has a higher unemployment rate at 3.7% compared to 2.5% in Ridgefield.

Demographics

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

Demographic Ridgefield Flower mound
Black Data is updating 3
White 100 66
Asian Data is updating 13
Hispanic Data is updating 11
Two or More Races Data is updating 7
American Indian Data is updating Data is updating

Demographics Comparison: Ridgefield vs Flower mound

  • In Flower mound, the percentage of Black residents is higher at 3% compared to 0% in Ridgefield.
  • Ridgefield has a higher percentage of White residents at 100% compared to 66% in Flower mound.
  • In Flower mound, the Asian population stands at 13%, greater than 0% in Ridgefield.
  • Flower mound has a higher percentage of Hispanic residents at 11%, compared to 0% in Ridgefield.
  • The percentage of residents identifying as two or more races is higher in Flower mound at 7%, compared to 0% in Ridgefield.
  • The percentage of American Indian residents is the same in both Ridgefield and Flower mound at 0%.

Health Statistics

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

Health Metric Ridgefield 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: Ridgefield vs Flower mound

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

Education Levels

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

Education Level Ridgefield 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: Ridgefield vs Flower mound

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

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.