Demographics details for Mountain home, AR vs Plymouth, MA

Population Overview

Compare main population characteristics in Mountain home, AR vs Plymouth, MA.

Data Mountain home Plymouth
Population 13,150 60,803
Median Age 41.8 years 42.0 years
Median Income $42,281 $82,400
Married Families 38.0% 55.0%
Poverty Level 14% 6%
Unemployment Rate 3.5 3.7

Population Comparison: Mountain home vs Plymouth

  • The population in Plymouth is higher at 60,803, compared to 13,150 in Mountain home.
  • The median age in Plymouth is higher at 42.0 years, compared to 41.8 years in Mountain home.
  • Plymouth has a higher median income of $82,400, compared to $42,281 in Mountain home.
  • In Plymouth, the percentage of married families is higher at 55.0%, compared to 38.0% in Mountain home.
  • Mountain home has a higher poverty level at 14% compared to 6% in Plymouth.
  • Plymouth has a higher unemployment rate at 3.7% compared to 3.5% in Mountain home.

Demographics

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

Demographic Mountain home Plymouth
Black Data is updating 8
White 90 85
Asian 1 3
Hispanic 4 4
Two or More Races 4 2
American Indian 1 Data is updating

Demographics Comparison: Mountain home vs Plymouth

  • In Plymouth, the percentage of Black residents is higher at 8% compared to 0% in Mountain home.
  • Mountain home has a higher percentage of White residents at 90% compared to 85% in Plymouth.
  • In Plymouth, the Asian population stands at 3%, greater than 1% in Mountain home.
  • The percentage of Hispanic residents is the same in both Mountain home and Plymouth at 4%.
  • More residents identify as two or more races in Mountain home at 4% compared to 2% in Plymouth.
  • A greater percentage of American Indian residents live in Mountain home at 1% compared to 0% in Plymouth.

Health Statistics

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

Health Metric Mountain home Plymouth
Mental Health Not Good 19.2% Data is updating%
Physical Health Not Good 12.9% Data is updating%
Depression 28.5% Data is updating%
Smoking 21.1% Data is updating%
Binge Drinking 16.3% Data is updating%
Obesity 34.3% Data is updating%
Disability Percentage 22.0% Data is updating%

Health Statistics Comparison: Mountain home vs Plymouth

  • More residents in Mountain home report poor mental health at 19.2% compared to 0.0% in Plymouth.
  • Depression is more prevalent in Mountain home at 28.5% compared to 0.0% in Plymouth.
  • Smoking is more prevalent in Mountain home at 21.1% compared to 0.0% in Plymouth.
  • Binge drinking is more common in Mountain home at 16.3% compared to 0.0% in Plymouth.
  • Obesity rates are higher in Mountain home at 34.3% compared to 0.0% in Plymouth.
  • Disability percentages are higher in Mountain home at 22.0% compared to 0.0% in Plymouth.

Education Levels

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

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

Education Levels Comparison: Mountain home vs Plymouth

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

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.