Demographics details for Marshall, MI vs Mountain pine, AR

Population Overview

Compare main population characteristics in Marshall, MI vs Mountain pine, AR.

Data Marshall Mountain pine
Population 6,753 577
Median Age 45.4 years 44.2 years
Median Income $72,813 $28,542
Married Families 43.0% 28.0%
Poverty Level 9% 20%
Unemployment Rate 4.2 4.5

Population Comparison: Marshall vs Mountain pine

  • In Marshall, the population is higher at 6,753, compared to 577 in Mountain pine.
  • Residents in Marshall have a higher median age of 45.4 years compared to 44.2 years in Mountain pine.
  • Marshall has a higher median income of $72,813 compared to $28,542 in Mountain pine.
  • A higher percentage of married families is found in Marshall at 43.0% compared to 28.0% in Mountain pine.
  • The poverty level is higher in Mountain pine at 20%, compared to 9% in Marshall.
  • Mountain pine has a higher unemployment rate at 4.5% compared to 4.2% in Marshall.

Demographics

Demographics Marshall vs Mountain pine provide insight into the diversity of the communities to compare.

Demographic Marshall Mountain pine
Black Data is updating 8
White 94 85
Asian Data is updating Data is updating
Hispanic 4 2
Two or More Races 2 5
American Indian Data is updating Data is updating

Demographics Comparison: Marshall vs Mountain pine

  • In Mountain pine, the percentage of Black residents is higher at 8% compared to 0% in Marshall.
  • Marshall has a higher percentage of White residents at 94% compared to 85% in Mountain pine.
  • Both Marshall and Mountain pine have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Marshall at 4% compared to 2% in Mountain pine.
  • The percentage of residents identifying as two or more races is higher in Mountain pine at 5%, compared to 2% in Marshall.
  • The percentage of American Indian residents is the same in both Marshall and Mountain pine at 0%.

Health Statistics

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

Health Metric Marshall Mountain pine
Mental Health Not Good 17.0% 20.8%
Physical Health Not Good 10.6% 14.8%
Depression 25.2% 26.8%
Smoking 17.3% 24.8%
Binge Drinking 18.0% 14.8%
Obesity 37.5% 39.5%
Disability Percentage 11.0% 23.0%

Health Statistics Comparison: Marshall vs Mountain pine

  • In Mountain pine, a higher percentage report poor mental health at 20.8% compared to 17.0% in Marshall.
  • Higher depression rates are seen in Mountain pine at 26.8% versus 25.2% in Marshall.
  • Mountain pine has a higher smoking rate at 24.8% compared to 17.3% in Marshall.
  • Binge drinking is more common in Marshall at 18.0% compared to 14.8% in Mountain pine.
  • Mountain pine has higher obesity rates at 39.5% compared to 37.5% in Marshall.
  • There is a higher percentage of disabled individuals in Mountain pine at 23.0% compared to 11.0% in Marshall.

Education Levels

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

Education Level Marshall Mountain pine
No Schooling 0.7% (46) 0.0% (Data is updating)
High School Diploma 15.8% (1,067) 30.8% (178)
Less than High School 7.3% (493) 9.4% (54)
Bachelor's Degree and Higher 33.1% (2,233) 2.9% (17)

Education Levels Comparison: Marshall vs Mountain pine

  • A higher percentage of residents in Marshall have no formal schooling at 0.7% compared to 0.0% in Mountain pine.
  • In Mountain pine, the rate of residents with high school diplomas is higher at 30.8% compared to 15.8% in Marshall.
  • The percentage of residents with less than a high school education is higher in Mountain pine at 9.4%, compared to 7.3% in Marshall.
  • A higher percentage of residents in Marshall hold a bachelor's degree or higher at 33.1% compared to 2.9% in Mountain pine.

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.