Demographics details for Mountain home, AR vs Davenport, WA

Population Overview

Compare main population characteristics in Mountain home, AR vs Davenport, WA.

Data Mountain home Davenport
Population 13,150 1,778
Median Age 41.8 years 36.2 years
Median Income $42,281 $71,486
Married Families 38.0% 48.0%
Poverty Level 14% 10%
Unemployment Rate 3.5 3.2

Population Comparison: Mountain home vs Davenport

  • In Mountain home, the population is higher at 13,150, compared to 1,778 in Davenport.
  • Residents in Mountain home have a higher median age of 41.8 years compared to 36.2 years in Davenport.
  • Davenport has a higher median income of $71,486, compared to $42,281 in Mountain home.
  • In Davenport, the percentage of married families is higher at 48.0%, compared to 38.0% in Mountain home.
  • Mountain home has a higher poverty level at 14% compared to 10% in Davenport.
  • The unemployment rate in Mountain home is higher at 3.5%, compared to 3.2% in Davenport.

Demographics

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

Demographic Mountain home Davenport
Black Data is updating 2
White 90 83
Asian 1 2
Hispanic 4 7
Two or More Races 4 6
American Indian 1 Data is updating

Demographics Comparison: Mountain home vs Davenport

  • In Davenport, the percentage of Black residents is higher at 2% compared to 0% in Mountain home.
  • Mountain home has a higher percentage of White residents at 90% compared to 83% in Davenport.
  • In Davenport, the Asian population stands at 2%, greater than 1% in Mountain home.
  • Davenport has a higher percentage of Hispanic residents at 7%, compared to 4% in Mountain home.
  • The percentage of residents identifying as two or more races is higher in Davenport at 6%, compared to 4% in Mountain home.
  • A greater percentage of American Indian residents live in Mountain home at 1% compared to 0% in Davenport.

Health Statistics

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

Health Metric Mountain home Davenport
Mental Health Not Good 19.2% 17.6%
Physical Health Not Good 12.9% 11.5%
Depression 28.5% 27.3%
Smoking 21.1% 15.5%
Binge Drinking 16.3% 18.8%
Obesity 34.3% 31.8%
Disability Percentage 22.0% 18.0%

Health Statistics Comparison: Mountain home vs Davenport

  • More residents in Mountain home report poor mental health at 19.2% compared to 17.6% in Davenport.
  • Depression is more prevalent in Mountain home at 28.5% compared to 27.3% in Davenport.
  • Smoking is more prevalent in Mountain home at 21.1% compared to 15.5% in Davenport.
  • More residents engage in binge drinking in Davenport at 18.8% compared to 16.3% in Mountain home.
  • Obesity rates are higher in Mountain home at 34.3% compared to 31.8% in Davenport.
  • Disability percentages are higher in Mountain home at 22.0% compared to 18.0% in Davenport.

Education Levels

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

Education Level Mountain home Davenport
No Schooling 0.7% (87) 0.0% (Data is updating)
High School Diploma 16.9% (2,225) 14.5% (258)
Less than High School 14.2% (1,870) 8.2% (145)
Bachelor's Degree and Higher 15.0% (1,973) 16.4% (292)

Education Levels Comparison: Mountain home vs Davenport

  • A higher percentage of residents in Mountain home have no formal schooling at 0.7% compared to 0.0% in Davenport.
  • A higher percentage of residents in Mountain home hold a high school diploma at 16.9% compared to 14.5% in Davenport.
  • More residents in Mountain home have less than a high school education at 14.2% compared to 8.2% in Davenport.
  • In Davenport, a larger share of residents have a bachelor's degree or higher at 16.4% compared to 15.0% in Mountain home.

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.