Demographics details for Flower mound, TX vs Elyria, OH

Population Overview

Compare main population characteristics in Flower mound, TX vs Elyria, OH.

Data Flower mound Elyria
Population 78,486 52,908
Median Age 42.6 years 40.2 years
Median Income $154,471 $49,569
Married Families 51.0% 32.0%
Poverty Level 4% 15%
Unemployment Rate 3.7 4.5

Population Comparison: Flower mound vs Elyria

  • In Flower mound, the population is higher at 78,486, compared to 52,908 in Elyria.
  • Residents in Flower mound have a higher median age of 42.6 years compared to 40.2 years in Elyria.
  • Flower mound has a higher median income of $154,471 compared to $49,569 in Elyria.
  • A higher percentage of married families is found in Flower mound at 51.0% compared to 32.0% in Elyria.
  • The poverty level is higher in Elyria at 15%, compared to 4% in Flower mound.
  • Elyria has a higher unemployment rate at 4.5% compared to 3.7% in Flower mound.

Demographics

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

Demographic Flower mound Elyria
Black 3 13
White 66 65
Asian 13 1
Hispanic 11 10
Two or More Races 7 11
American Indian Data is updating Data is updating

Demographics Comparison: Flower mound vs Elyria

  • In Elyria, the percentage of Black residents is higher at 13% compared to 3% in Flower mound.
  • Flower mound has a higher percentage of White residents at 66% compared to 65% in Elyria.
  • The Asian population is larger in Flower mound at 13% compared to 1% in Elyria.
  • The Hispanic community is larger in Flower mound at 11% compared to 10% in Elyria.
  • The percentage of residents identifying as two or more races is higher in Elyria at 11%, compared to 7% in Flower mound.
  • The percentage of American Indian residents is the same in both Flower mound and Elyria at 0%.

Health Statistics

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

Health Metric Flower mound Elyria
Mental Health Not Good 13.3% 19.3%
Physical Health Not Good 7.7% 14.0%
Depression 21.1% 24.0%
Smoking 9.5% 24.6%
Binge Drinking 19.7% 18.1%
Obesity 28.5% 40.6%
Disability Percentage 6.0% 16.0%

Health Statistics Comparison: Flower mound vs Elyria

  • In Elyria, a higher percentage report poor mental health at 19.3% compared to 13.3% in Flower mound.
  • Higher depression rates are seen in Elyria at 24.0% versus 21.1% in Flower mound.
  • Elyria has a higher smoking rate at 24.6% compared to 9.5% in Flower mound.
  • Binge drinking is more common in Flower mound at 19.7% compared to 18.1% in Elyria.
  • Elyria has higher obesity rates at 40.6% compared to 28.5% in Flower mound.
  • There is a higher percentage of disabled individuals in Elyria at 16.0% 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 Elyria
No Schooling 0.7% (519) 0.8% (398)
High School Diploma 6.2% (4,886) 20.4% (10,806)
Less than High School 2.7% (2,090) 14.3% (7,591)
Bachelor's Degree and Higher 42.3% (33,161) 10.5% (5,544)

Education Levels Comparison: Flower mound vs Elyria

  • In Elyria, a larger percentage of residents lack formal schooling at 0.8% compared to 0.7% in Flower mound.
  • In Elyria, the rate of residents with high school diplomas is higher at 20.4% compared to 6.2% in Flower mound.
  • The percentage of residents with less than a high school education is higher in Elyria at 14.3%, 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 10.5% in Elyria.

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.