Demographics details for Mount pocono, PA vs Arkadelphia, AR

Population Overview

Compare main population characteristics in Mount pocono, PA vs Arkadelphia, AR.

Data Mount pocono Arkadelphia
Population 3,071 10,258
Median Age 38.5 years 23.3 years
Median Income $81,127 $37,634
Married Families 30.0% 23.0%
Poverty Level 10% 21%
Unemployment Rate 4.8 4.5

Population Comparison: Mount pocono vs Arkadelphia

  • The population in Arkadelphia is higher at 10,258, compared to 3,071 in Mount pocono.
  • Residents in Mount pocono have a higher median age of 38.5 years compared to 23.3 years in Arkadelphia.
  • Mount pocono has a higher median income of $81,127 compared to $37,634 in Arkadelphia.
  • A higher percentage of married families is found in Mount pocono at 30.0% compared to 23.0% in Arkadelphia.
  • The poverty level is higher in Arkadelphia at 21%, compared to 10% in Mount pocono.
  • The unemployment rate in Mount pocono is higher at 4.8%, compared to 4.5% in Arkadelphia.

Demographics

Demographics Mount pocono vs Arkadelphia provide insight into the diversity of the communities to compare.

Demographic Mount pocono Arkadelphia
Black 16 31
White 41 58
Asian 6 1
Hispanic 33 6
Two or More Races 4 4
American Indian Data is updating Data is updating

Demographics Comparison: Mount pocono vs Arkadelphia

  • In Arkadelphia, the percentage of Black residents is higher at 31% compared to 16% in Mount pocono.
  • The percentage of White residents is higher in Arkadelphia at 58% compared to 41% in Mount pocono.
  • The Asian population is larger in Mount pocono at 6% compared to 1% in Arkadelphia.
  • The Hispanic community is larger in Mount pocono at 33% compared to 6% in Arkadelphia.
  • Both Mount pocono and Arkadelphia have the same percentage of residents identifying as two or more races at 4%.
  • The percentage of American Indian residents is the same in both Mount pocono and Arkadelphia at 0%.

Health Statistics

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

Health Metric Mount pocono Arkadelphia
Mental Health Not Good 16.1% 19.2%
Physical Health Not Good 11.8% 14.1%
Depression 20.1% 25.8%
Smoking 18.1% 20.7%
Binge Drinking 16.1% 13.5%
Obesity 34.3% 44.3%
Disability Percentage 13.0% 20.0%

Health Statistics Comparison: Mount pocono vs Arkadelphia

  • In Arkadelphia, a higher percentage report poor mental health at 19.2% compared to 16.1% in Mount pocono.
  • Higher depression rates are seen in Arkadelphia at 25.8% versus 20.1% in Mount pocono.
  • Arkadelphia has a higher smoking rate at 20.7% compared to 18.1% in Mount pocono.
  • Binge drinking is more common in Mount pocono at 16.1% compared to 13.5% in Arkadelphia.
  • Arkadelphia has higher obesity rates at 44.3% compared to 34.3% in Mount pocono.
  • There is a higher percentage of disabled individuals in Arkadelphia at 20.0% compared to 13.0% in Mount pocono.

Education Levels

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

Education Level Mount pocono Arkadelphia
No Schooling 3.2% (98) 0.2% (25)
High School Diploma 27.4% (842) 11.3% (1,157)
Less than High School 18.1% (555) 5.4% (559)
Bachelor's Degree and Higher 15.9% (488) 15.6% (1,598)

Education Levels Comparison: Mount pocono vs Arkadelphia

  • A higher percentage of residents in Mount pocono have no formal schooling at 3.2% compared to 0.2% in Arkadelphia.
  • A higher percentage of residents in Mount pocono hold a high school diploma at 27.4% compared to 11.3% in Arkadelphia.
  • More residents in Mount pocono have less than a high school education at 18.1% compared to 5.4% in Arkadelphia.
  • A higher percentage of residents in Mount pocono hold a bachelor's degree or higher at 15.9% compared to 15.6% in Arkadelphia.

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.