Demographics details for Mountain home, AR vs Springfield, MO

Population Overview

Compare main population characteristics in Mountain home, AR vs Springfield, MO.

Data Mountain home Springfield
Population 13,150 170,067
Median Age 41.8 years 33.3 years
Median Income $42,281 $43,450
Married Families 38.0% 32.0%
Poverty Level 14% 17%
Unemployment Rate 3.5 4.0

Population Comparison: Mountain home vs Springfield

  • The population in Springfield is higher at 170,067, compared to 13,150 in Mountain home.
  • Residents in Mountain home have a higher median age of 41.8 years compared to 33.3 years in Springfield.
  • Springfield has a higher median income of $43,450, compared to $42,281 in Mountain home.
  • A higher percentage of married families is found in Mountain home at 38.0% compared to 32.0% in Springfield.
  • The poverty level is higher in Springfield at 17%, compared to 14% in Mountain home.
  • Springfield has a higher unemployment rate at 4.0% compared to 3.5% in Mountain home.

Demographics

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

Demographic Mountain home Springfield
Black Data is updating 4
White 90 83
Asian 1 2
Hispanic 4 5
Two or More Races 4 6
American Indian 1 Data is updating

Demographics Comparison: Mountain home vs Springfield

  • In Springfield, the percentage of Black residents is higher at 4% compared to 0% in Mountain home.
  • Mountain home has a higher percentage of White residents at 90% compared to 83% in Springfield.
  • In Springfield, the Asian population stands at 2%, greater than 1% in Mountain home.
  • Springfield has a higher percentage of Hispanic residents at 5%, compared to 4% in Mountain home.
  • The percentage of residents identifying as two or more races is higher in Springfield 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 Springfield.

Health Statistics

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

Health Metric Mountain home Springfield
Mental Health Not Good 19.2% 19.8%
Physical Health Not Good 12.9% 14.1%
Depression 28.5% 27.3%
Smoking 21.1% 21.6%
Binge Drinking 16.3% 16.5%
Obesity 34.3% 35.8%
Disability Percentage 22.0% 16.0%

Health Statistics Comparison: Mountain home vs Springfield

  • In Springfield, a higher percentage report poor mental health at 19.8% compared to 19.2% in Mountain home.
  • Depression is more prevalent in Mountain home at 28.5% compared to 27.3% in Springfield.
  • Springfield has a higher smoking rate at 21.6% compared to 21.1% in Mountain home.
  • More residents engage in binge drinking in Springfield at 16.5% compared to 16.3% in Mountain home.
  • Springfield has higher obesity rates at 35.8% compared to 34.3% in Mountain home.
  • Disability percentages are higher in Mountain home at 22.0% compared to 16.0% in Springfield.

Education Levels

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

Education Level Mountain home Springfield
No Schooling 0.7% (87) 0.6% (1,094)
High School Diploma 16.9% (2,225) 14.7% (24,915)
Less than High School 14.2% (1,870) 9.6% (16,273)
Bachelor's Degree and Higher 15.0% (1,973) 18.9% (32,189)

Education Levels Comparison: Mountain home vs Springfield

  • A higher percentage of residents in Mountain home have no formal schooling at 0.7% compared to 0.6% in Springfield.
  • A higher percentage of residents in Mountain home hold a high school diploma at 16.9% compared to 14.7% in Springfield.
  • More residents in Mountain home have less than a high school education at 14.2% compared to 9.6% in Springfield.
  • In Springfield, a larger share of residents have a bachelor's degree or higher at 18.9% 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.