Demographics details for Powder springs, GA vs Mount pocono, PA

Population Overview

Compare main population characteristics in Powder springs, GA vs Mount pocono, PA.

Data Powder springs Mount pocono
Population 17,337 3,071
Median Age 38.7 years 38.5 years
Median Income $88,311 $81,127
Married Families 36.0% 30.0%
Poverty Level 12% 10%
Unemployment Rate 3.5 4.8

Population Comparison: Powder springs vs Mount pocono

  • In Powder springs, the population is higher at 17,337, compared to 3,071 in Mount pocono.
  • Residents in Powder springs have a higher median age of 38.7 years compared to 38.5 years in Mount pocono.
  • Powder springs has a higher median income of $88,311 compared to $81,127 in Mount pocono.
  • A higher percentage of married families is found in Powder springs at 36.0% compared to 30.0% in Mount pocono.
  • Powder springs has a higher poverty level at 12% compared to 10% in Mount pocono.
  • Mount pocono has a higher unemployment rate at 4.8% compared to 3.5% in Powder springs.

Demographics

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

Demographic Powder springs Mount pocono
Black 51 16
White 22 41
Asian 2 6
Hispanic 19 33
Two or More Races 5 4
American Indian 1 Data is updating

Demographics Comparison: Powder springs vs Mount pocono

  • A higher percentage of Black residents are in Powder springs at 51% compared to 16% in Mount pocono.
  • The percentage of White residents is higher in Mount pocono at 41% compared to 22% in Powder springs.
  • In Mount pocono, the Asian population stands at 6%, greater than 2% in Powder springs.
  • Mount pocono has a higher percentage of Hispanic residents at 33%, compared to 19% in Powder springs.
  • More residents identify as two or more races in Powder springs at 5% compared to 4% in Mount pocono.
  • A greater percentage of American Indian residents live in Powder springs at 1% compared to 0% in Mount pocono.

Health Statistics

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

Health Metric Powder springs Mount pocono
Mental Health Not Good 15.0% 16.1%
Physical Health Not Good 10.7% 11.8%
Depression 17.7% 20.1%
Smoking 14.4% 18.1%
Binge Drinking 14.4% 16.1%
Obesity 33.0% 34.3%
Disability Percentage 11.0% 13.0%

Health Statistics Comparison: Powder springs vs Mount pocono

  • In Mount pocono, a higher percentage report poor mental health at 16.1% compared to 15.0% in Powder springs.
  • Higher depression rates are seen in Mount pocono at 20.1% versus 17.7% in Powder springs.
  • Mount pocono has a higher smoking rate at 18.1% compared to 14.4% in Powder springs.
  • More residents engage in binge drinking in Mount pocono at 16.1% compared to 14.4% in Powder springs.
  • Mount pocono has higher obesity rates at 34.3% compared to 33.0% in Powder springs.
  • There is a higher percentage of disabled individuals in Mount pocono at 13.0% compared to 11.0% in Powder springs.

Education Levels

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

Education Level Powder springs Mount pocono
No Schooling 1.3% (225) 3.2% (98)
High School Diploma 15.0% (2,598) 27.4% (842)
Less than High School 7.6% (1,309) 18.1% (555)
Bachelor's Degree and Higher 26.3% (4,561) 15.9% (488)

Education Levels Comparison: Powder springs vs Mount pocono

  • In Mount pocono, a larger percentage of residents lack formal schooling at 3.2% compared to 1.3% in Powder springs.
  • In Mount pocono, the rate of residents with high school diplomas is higher at 27.4% compared to 15.0% in Powder springs.
  • The percentage of residents with less than a high school education is higher in Mount pocono at 18.1%, compared to 7.6% in Powder springs.
  • A higher percentage of residents in Powder springs hold a bachelor's degree or higher at 26.3% compared to 15.9% in Mount pocono.

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.