Demographics details for Denison, TX vs Mountain home, AR

Population Overview

Compare main population characteristics in Denison, TX vs Mountain home, AR.

Data Denison Mountain home
Population 26,328 13,150
Median Age 40.1 years 41.8 years
Median Income $58,930 $42,281
Married Families 35.0% 38.0%
Poverty Level 10% 14%
Unemployment Rate 4.7 3.5

Population Comparison: Denison vs Mountain home

  • In Denison, the population is higher at 26,328, compared to 13,150 in Mountain home.
  • The median age in Mountain home is higher at 41.8 years, compared to 40.1 years in Denison.
  • Denison has a higher median income of $58,930 compared to $42,281 in Mountain home.
  • In Mountain home, the percentage of married families is higher at 38.0%, compared to 35.0% in Denison.
  • The poverty level is higher in Mountain home at 14%, compared to 10% in Denison.
  • The unemployment rate in Denison is higher at 4.7%, compared to 3.5% in Mountain home.

Demographics

Demographics Denison vs Mountain home provide insight into the diversity of the communities to compare.

Demographic Denison Mountain home
Black 7 Data is updating
White 73 90
Asian 1 1
Hispanic 11 4
Two or More Races 7 4
American Indian 1 1

Demographics Comparison: Denison vs Mountain home

  • A higher percentage of Black residents are in Denison at 7% compared to 0% in Mountain home.
  • The percentage of White residents is higher in Mountain home at 90% compared to 73% in Denison.
  • Both Denison and Mountain home have the same percentage of Asian residents at 1%.
  • The Hispanic community is larger in Denison at 11% compared to 4% in Mountain home.
  • More residents identify as two or more races in Denison at 7% compared to 4% in Mountain home.
  • The percentage of American Indian residents is the same in both Denison and Mountain home at 1%.

Health Statistics

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

Health Metric Denison Mountain home
Mental Health Not Good 18.9% 19.2%
Physical Health Not Good 12.5% 12.9%
Depression 26.2% 28.5%
Smoking 19.5% 21.1%
Binge Drinking 18.2% 16.3%
Obesity 38.7% 34.3%
Disability Percentage 18.0% 22.0%

Health Statistics Comparison: Denison vs Mountain home

  • In Mountain home, a higher percentage report poor mental health at 19.2% compared to 18.9% in Denison.
  • Higher depression rates are seen in Mountain home at 28.5% versus 26.2% in Denison.
  • Mountain home has a higher smoking rate at 21.1% compared to 19.5% in Denison.
  • Binge drinking is more common in Denison at 18.2% compared to 16.3% in Mountain home.
  • Obesity rates are higher in Denison at 38.7% compared to 34.3% in Mountain home.
  • There is a higher percentage of disabled individuals in Mountain home at 22.0% compared to 18.0% in Denison.

Education Levels

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

Education Level Denison Mountain home
No Schooling 0.7% (179) 0.7% (87)
High School Diploma 16.3% (4,302) 16.9% (2,225)
Less than High School 11.3% (2,965) 14.2% (1,870)
Bachelor's Degree and Higher 11.2% (2,945) 15.0% (1,973)

Education Levels Comparison: Denison vs Mountain home

  • The percentage of residents with no formal schooling is the same in both Denison and Mountain home at 0.7%.
  • In Mountain home, the rate of residents with high school diplomas is higher at 16.9% compared to 16.3% in Denison.
  • The percentage of residents with less than a high school education is higher in Mountain home at 14.2%, compared to 11.3% in Denison.
  • In Mountain home, a larger share of residents have a bachelor's degree or higher at 15.0% compared to 11.2% in Denison.

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.