Demographics details for Mountain view, AR vs Dearborn, MI

Population Overview

Compare main population characteristics in Mountain view, AR vs Dearborn, MI.

Data Mountain view Dearborn
Population 2,915 107,710
Median Age 55.5 years 32.3 years
Median Income $23,458 $64,600
Married Families 25.0% 38.0%
Poverty Level 17% 12%
Unemployment Rate 4.8 4.1

Population Comparison: Mountain view vs Dearborn

  • The population in Dearborn is higher at 107,710, compared to 2,915 in Mountain view.
  • Residents in Mountain view have a higher median age of 55.5 years compared to 32.3 years in Dearborn.
  • Dearborn has a higher median income of $64,600, compared to $23,458 in Mountain view.
  • In Dearborn, the percentage of married families is higher at 38.0%, compared to 25.0% in Mountain view.
  • Mountain view has a higher poverty level at 17% compared to 12% in Dearborn.
  • The unemployment rate in Mountain view is higher at 4.8%, compared to 4.1% in Dearborn.

Demographics

Demographics Mountain view vs Dearborn provide insight into the diversity of the communities to compare.

Demographic Mountain view Dearborn
Black 1 3
White 89 86
Asian 1 3
Hispanic 8 3
Two or More Races 1 5
American Indian Data is updating Data is updating

Demographics Comparison: Mountain view vs Dearborn

  • In Dearborn, the percentage of Black residents is higher at 3% compared to 1% in Mountain view.
  • Mountain view has a higher percentage of White residents at 89% compared to 86% in Dearborn.
  • In Dearborn, the Asian population stands at 3%, greater than 1% in Mountain view.
  • The Hispanic community is larger in Mountain view at 8% compared to 3% in Dearborn.
  • The percentage of residents identifying as two or more races is higher in Dearborn at 5%, compared to 1% in Mountain view.
  • The percentage of American Indian residents is the same in both Mountain view and Dearborn at 0%.

Health Statistics

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

Health Metric Mountain view Dearborn
Mental Health Not Good 22.6% 19.4%
Physical Health Not Good 16.7% 13.7%
Depression 31.9% 26.6%
Smoking 26.6% 24.6%
Binge Drinking 14.9% 17.6%
Obesity 41.1% 34.2%
Disability Percentage 36.0% 11.0%

Health Statistics Comparison: Mountain view vs Dearborn

  • More residents in Mountain view report poor mental health at 22.6% compared to 19.4% in Dearborn.
  • Depression is more prevalent in Mountain view at 31.9% compared to 26.6% in Dearborn.
  • Smoking is more prevalent in Mountain view at 26.6% compared to 24.6% in Dearborn.
  • More residents engage in binge drinking in Dearborn at 17.6% compared to 14.9% in Mountain view.
  • Obesity rates are higher in Mountain view at 41.1% compared to 34.2% in Dearborn.
  • Disability percentages are higher in Mountain view at 36.0% compared to 11.0% in Dearborn.

Education Levels

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

Education Level Mountain view Dearborn
No Schooling 2.4% (70) 2.8% (3,058)
High School Diploma 17.8% (520) 12.3% (13,249)
Less than High School 15.9% (464) 17.5% (18,849)
Bachelor's Degree and Higher 11.3% (329) 21.3% (22,938)

Education Levels Comparison: Mountain view vs Dearborn

  • In Dearborn, a larger percentage of residents lack formal schooling at 2.8% compared to 2.4% in Mountain view.
  • A higher percentage of residents in Mountain view hold a high school diploma at 17.8% compared to 12.3% in Dearborn.
  • The percentage of residents with less than a high school education is higher in Dearborn at 17.5%, compared to 15.9% in Mountain view.
  • In Dearborn, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 11.3% in Mountain view.

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.