Demographics details for Charleston, IL vs Powder springs, GA

Population Overview

Compare main population characteristics in Charleston, IL vs Powder springs, GA.

Data Charleston Powder springs
Population 17,119 17,337
Median Age 29.4 years 38.7 years
Median Income $47,533 $88,311
Married Families 32.0% 36.0%
Poverty Level 15% 12%
Unemployment Rate 5.3 3.5

Population Comparison: Charleston vs Powder springs

  • The population in Powder springs is higher at 17,337, compared to 17,119 in Charleston.
  • The median age in Powder springs is higher at 38.7 years, compared to 29.4 years in Charleston.
  • Powder springs has a higher median income of $88,311, compared to $47,533 in Charleston.
  • In Powder springs, the percentage of married families is higher at 36.0%, compared to 32.0% in Charleston.
  • Charleston has a higher poverty level at 15% compared to 12% in Powder springs.
  • The unemployment rate in Charleston is higher at 5.3%, compared to 3.5% in Powder springs.

Demographics

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

Demographic Charleston Powder springs
Black 8 51
White 83 22
Asian 2 2
Hispanic 4 19
Two or More Races 3 5
American Indian Data is updating 1

Demographics Comparison: Charleston vs Powder springs

  • In Powder springs, the percentage of Black residents is higher at 51% compared to 8% in Charleston.
  • Charleston has a higher percentage of White residents at 83% compared to 22% in Powder springs.
  • Both Charleston and Powder springs have the same percentage of Asian residents at 2%.
  • Powder springs has a higher percentage of Hispanic residents at 19%, compared to 4% in Charleston.
  • The percentage of residents identifying as two or more races is higher in Powder springs at 5%, compared to 3% in Charleston.
  • In Powder springs, the percentage of American Indian residents is higher at 1%, compared to 0% in Charleston.

Health Statistics

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

Health Metric Charleston Powder springs
Mental Health Not Good 17.9% 15.0%
Physical Health Not Good 12.5% 10.7%
Depression 24.2% 17.7%
Smoking 20.0% 14.4%
Binge Drinking 16.4% 14.4%
Obesity 36.5% 33.0%
Disability Percentage 18.0% 11.0%

Health Statistics Comparison: Charleston vs Powder springs

  • More residents in Charleston report poor mental health at 17.9% compared to 15.0% in Powder springs.
  • Depression is more prevalent in Charleston at 24.2% compared to 17.7% in Powder springs.
  • Smoking is more prevalent in Charleston at 20.0% compared to 14.4% in Powder springs.
  • Binge drinking is more common in Charleston at 16.4% compared to 14.4% in Powder springs.
  • Obesity rates are higher in Charleston at 36.5% compared to 33.0% in Powder springs.
  • Disability percentages are higher in Charleston at 18.0% 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 Charleston Powder springs
No Schooling 0.4% (68) 1.3% (225)
High School Diploma 13.6% (2,331) 15.0% (2,598)
Less than High School 8.1% (1,387) 7.6% (1,309)
Bachelor's Degree and Higher 19.3% (3,307) 26.3% (4,561)

Education Levels Comparison: Charleston vs Powder springs

  • In Powder springs, a larger percentage of residents lack formal schooling at 1.3% compared to 0.4% in Charleston.
  • In Powder springs, the rate of residents with high school diplomas is higher at 15.0% compared to 13.6% in Charleston.
  • More residents in Charleston have less than a high school education at 8.1% compared to 7.6% in Powder springs.
  • In Powder springs, a larger share of residents have a bachelor's degree or higher at 26.3% compared to 19.3% in Charleston.

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.