Demographics details for Mountain view, AR vs Atlantic, PA

Population Overview

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

Data Mountain view Atlantic
Population 2,915 64
Median Age 55.5 years 36.8 years
Median Income $23,458 $76,250
Married Families 25.0% 41.0%
Poverty Level 17% Data is updating
Unemployment Rate 4.8 4.2

Population Comparison: Mountain view vs Atlantic

  • In Mountain view, the population is higher at 2,915, compared to 64 in Atlantic.
  • Residents in Mountain view have a higher median age of 55.5 years compared to 36.8 years in Atlantic.
  • Atlantic has a higher median income of $76,250, compared to $23,458 in Mountain view.
  • In Atlantic, the percentage of married families is higher at 41.0%, compared to 25.0% in Mountain view.
  • Mountain view has a higher poverty level at 17% compared to 0% in Atlantic.
  • The unemployment rate in Mountain view is higher at 4.8%, compared to 4.2% in Atlantic.

Demographics

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

Demographic Mountain view Atlantic
Black 1 Data is updating
White 89 88
Asian 1 Data is updating
Hispanic 8 Data is updating
Two or More Races 1 12
American Indian Data is updating Data is updating

Demographics Comparison: Mountain view vs Atlantic

  • A higher percentage of Black residents are in Mountain view at 1% compared to 0% in Atlantic.
  • Mountain view has a higher percentage of White residents at 89% compared to 88% in Atlantic.
  • The Asian population is larger in Mountain view at 1% compared to 0% in Atlantic.
  • The Hispanic community is larger in Mountain view at 8% compared to 0% in Atlantic.
  • The percentage of residents identifying as two or more races is higher in Atlantic at 12%, compared to 1% in Mountain view.
  • The percentage of American Indian residents is the same in both Mountain view and Atlantic at 0%.

Health Statistics

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

Health Metric Mountain view Atlantic
Mental Health Not Good 22.6% 18.9%
Physical Health Not Good 16.7% 13.9%
Depression 31.9% 27.0%
Smoking 26.6% 26.3%
Binge Drinking 14.9% 17.9%
Obesity 41.1% 40.6%
Disability Percentage 36.0% 8.0%

Health Statistics Comparison: Mountain view vs Atlantic

  • More residents in Mountain view report poor mental health at 22.6% compared to 18.9% in Atlantic.
  • Depression is more prevalent in Mountain view at 31.9% compared to 27.0% in Atlantic.
  • Smoking is more prevalent in Mountain view at 26.6% compared to 26.3% in Atlantic.
  • More residents engage in binge drinking in Atlantic at 17.9% compared to 14.9% in Mountain view.
  • Obesity rates are higher in Mountain view at 41.1% compared to 40.6% in Atlantic.
  • Disability percentages are higher in Mountain view at 36.0% 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 Mountain view Atlantic
No Schooling 2.4% (70) 0.0% (Data is updating)
High School Diploma 17.8% (520) 20.3% (13)
Less than High School 15.9% (464) 21.9% (14)
Bachelor's Degree and Higher 11.3% (329) 3.1% (2)

Education Levels Comparison: Mountain view vs Atlantic

  • A higher percentage of residents in Mountain view have no formal schooling at 2.4% compared to 0.0% in Atlantic.
  • In Atlantic, the rate of residents with high school diplomas is higher at 20.3% compared to 17.8% in Mountain view.
  • The percentage of residents with less than a high school education is higher in Atlantic at 21.9%, compared to 15.9% in Mountain view.
  • A higher percentage of residents in Mountain view hold a bachelor's degree or higher at 11.3% compared to 3.1% in Atlantic.

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.