Demographics details for Atlantic, PA vs Mountain pine, AR

Population Overview

Compare main population characteristics in Atlantic, PA vs Mountain pine, AR.

Data Atlantic Mountain pine
Population 64 577
Median Age 36.8 years 44.2 years
Median Income $76,250 $28,542
Married Families 41.0% 28.0%
Poverty Level Data is updating 20%
Unemployment Rate 4.2 4.5

Population Comparison: Atlantic vs Mountain pine

  • The population in Mountain pine is higher at 577, compared to 64 in Atlantic.
  • The median age in Mountain pine is higher at 44.2 years, compared to 36.8 years in Atlantic.
  • Atlantic has a higher median income of $76,250 compared to $28,542 in Mountain pine.
  • A higher percentage of married families is found in Atlantic at 41.0% compared to 28.0% in Mountain pine.
  • The poverty level is higher in Mountain pine at 20%, compared to 0% in Atlantic.
  • Mountain pine has a higher unemployment rate at 4.5% compared to 4.2% in Atlantic.

Demographics

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

Demographic Atlantic Mountain pine
Black Data is updating 8
White 88 85
Asian Data is updating Data is updating
Hispanic Data is updating 2
Two or More Races 12 5
American Indian Data is updating Data is updating

Demographics Comparison: Atlantic vs Mountain pine

  • In Mountain pine, the percentage of Black residents is higher at 8% compared to 0% in Atlantic.
  • Atlantic has a higher percentage of White residents at 88% compared to 85% in Mountain pine.
  • Both Atlantic and Mountain pine have the same percentage of Asian residents at 0%.
  • Mountain pine has a higher percentage of Hispanic residents at 2%, compared to 0% in Atlantic.
  • More residents identify as two or more races in Atlantic at 12% compared to 5% in Mountain pine.
  • The percentage of American Indian residents is the same in both Atlantic and Mountain pine at 0%.

Health Statistics

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

Health Metric Atlantic Mountain pine
Mental Health Not Good 18.9% 20.8%
Physical Health Not Good 13.9% 14.8%
Depression 27.0% 26.8%
Smoking 26.3% 24.8%
Binge Drinking 17.9% 14.8%
Obesity 40.6% 39.5%
Disability Percentage 8.0% 23.0%

Health Statistics Comparison: Atlantic vs Mountain pine

  • In Mountain pine, a higher percentage report poor mental health at 20.8% compared to 18.9% in Atlantic.
  • Depression is more prevalent in Atlantic at 27.0% compared to 26.8% in Mountain pine.
  • Smoking is more prevalent in Atlantic at 26.3% compared to 24.8% in Mountain pine.
  • Binge drinking is more common in Atlantic at 17.9% compared to 14.8% in Mountain pine.
  • Obesity rates are higher in Atlantic at 40.6% compared to 39.5% in Mountain pine.
  • There is a higher percentage of disabled individuals in Mountain pine at 23.0% compared to 8.0% in Atlantic.

Education Levels

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

Education Level Atlantic Mountain pine
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 20.3% (13) 30.8% (178)
Less than High School 21.9% (14) 9.4% (54)
Bachelor's Degree and Higher 3.1% (2) 2.9% (17)

Education Levels Comparison: Atlantic vs Mountain pine

  • The percentage of residents with no formal schooling is the same in both Atlantic and Mountain pine at 0.0%.
  • In Mountain pine, the rate of residents with high school diplomas is higher at 30.8% compared to 20.3% in Atlantic.
  • More residents in Atlantic have less than a high school education at 21.9% compared to 9.4% in Mountain pine.
  • A higher percentage of residents in Atlantic hold a bachelor's degree or higher at 3.1% 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.