Demographics details for Alpharetta, GA vs Mountain home, AR

Population Overview

Compare main population characteristics in Alpharetta, GA vs Mountain home, AR.

Data Alpharetta Mountain home
Population 67,267 13,150
Median Age 40.6 years 41.8 years
Median Income $141,402 $42,281
Married Families 48.0% 38.0%
Poverty Level 6% 14%
Unemployment Rate 3.2 3.5

Population Comparison: Alpharetta vs Mountain home

  • In Alpharetta, the population is higher at 67,267, compared to 13,150 in Mountain home.
  • The median age in Mountain home is higher at 41.8 years, compared to 40.6 years in Alpharetta.
  • Alpharetta has a higher median income of $141,402 compared to $42,281 in Mountain home.
  • A higher percentage of married families is found in Alpharetta at 48.0% compared to 38.0% in Mountain home.
  • The poverty level is higher in Mountain home at 14%, compared to 6% in Alpharetta.
  • Mountain home has a higher unemployment rate at 3.5% compared to 3.2% in Alpharetta.

Demographics

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

Demographic Alpharetta Mountain home
Black 11 Data is updating
White 55 90
Asian 22 1
Hispanic 7 4
Two or More Races 5 4
American Indian Data is updating 1

Demographics Comparison: Alpharetta vs Mountain home

  • A higher percentage of Black residents are in Alpharetta at 11% compared to 0% in Mountain home.
  • The percentage of White residents is higher in Mountain home at 90% compared to 55% in Alpharetta.
  • The Asian population is larger in Alpharetta at 22% compared to 1% in Mountain home.
  • The Hispanic community is larger in Alpharetta at 7% compared to 4% in Mountain home.
  • More residents identify as two or more races in Alpharetta at 5% compared to 4% in Mountain home.
  • In Mountain home, the percentage of American Indian residents is higher at 1%, compared to 0% in Alpharetta.

Health Statistics

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

Health Metric Alpharetta Mountain home
Mental Health Not Good 12.1% 19.2%
Physical Health Not Good 7.6% 12.9%
Depression 17.3% 28.5%
Smoking 9.4% 21.1%
Binge Drinking 17.7% 16.3%
Obesity 23.0% 34.3%
Disability Percentage 6.0% 22.0%

Health Statistics Comparison: Alpharetta vs Mountain home

  • In Mountain home, a higher percentage report poor mental health at 19.2% compared to 12.1% in Alpharetta.
  • Higher depression rates are seen in Mountain home at 28.5% versus 17.3% in Alpharetta.
  • Mountain home has a higher smoking rate at 21.1% compared to 9.4% in Alpharetta.
  • Binge drinking is more common in Alpharetta at 17.7% compared to 16.3% in Mountain home.
  • Mountain home has higher obesity rates at 34.3% compared to 23.0% in Alpharetta.
  • There is a higher percentage of disabled individuals in Mountain home at 22.0% compared to 6.0% in Alpharetta.

Education Levels

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

Education Level Alpharetta Mountain home
No Schooling 0.9% (602) 0.7% (87)
High School Diploma 4.7% (3,172) 16.9% (2,225)
Less than High School 3.9% (2,597) 14.2% (1,870)
Bachelor's Degree and Higher 47.9% (32,211) 15.0% (1,973)

Education Levels Comparison: Alpharetta vs Mountain home

  • A higher percentage of residents in Alpharetta have no formal schooling at 0.9% compared to 0.7% in Mountain home.
  • In Mountain home, the rate of residents with high school diplomas is higher at 16.9% compared to 4.7% in Alpharetta.
  • The percentage of residents with less than a high school education is higher in Mountain home at 14.2%, compared to 3.9% in Alpharetta.
  • A higher percentage of residents in Alpharetta hold a bachelor's degree or higher at 47.9% 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.