Demographics details for Sylvania, GA vs Russell springs, KY

Population Overview

Compare main population characteristics in Sylvania, GA vs Russell springs, KY.

Data Sylvania Russell springs
Population 2,602 2,750
Median Age 43.7 years 44.8 years
Median Income $36,682 $34,219
Married Families 33.0% 29.0%
Poverty Level 18% 15%
Unemployment Rate 5.2 4.5

Population Comparison: Sylvania vs Russell springs

  • The population in Russell springs is higher at 2,750, compared to 2,602 in Sylvania.
  • The median age in Russell springs is higher at 44.8 years, compared to 43.7 years in Sylvania.
  • Sylvania has a higher median income of $36,682 compared to $34,219 in Russell springs.
  • A higher percentage of married families is found in Sylvania at 33.0% compared to 29.0% in Russell springs.
  • Sylvania has a higher poverty level at 18% compared to 15% in Russell springs.
  • The unemployment rate in Sylvania is higher at 5.2%, compared to 4.5% in Russell springs.

Demographics

Demographics Sylvania vs Russell springs provide insight into the diversity of the communities to compare.

Demographic Sylvania Russell springs
Black 57 1
White 40 88
Asian Data is updating Data is updating
Hispanic 1 3
Two or More Races 2 8
American Indian Data is updating Data is updating

Demographics Comparison: Sylvania vs Russell springs

  • A higher percentage of Black residents are in Sylvania at 57% compared to 1% in Russell springs.
  • The percentage of White residents is higher in Russell springs at 88% compared to 40% in Sylvania.
  • Both Sylvania and Russell springs have the same percentage of Asian residents at 0%.
  • Russell springs has a higher percentage of Hispanic residents at 3%, compared to 1% in Sylvania.
  • The percentage of residents identifying as two or more races is higher in Russell springs at 8%, compared to 2% in Sylvania.
  • The percentage of American Indian residents is the same in both Sylvania and Russell springs at 0%.

Health Statistics

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

Health Metric Sylvania Russell springs
Mental Health Not Good 18.9% 20.7%
Physical Health Not Good 14.4% 15.6%
Depression 21.8% 29.0%
Smoking 21.8% 25.6%
Binge Drinking 13.6% 14.5%
Obesity 40.5% 40.3%
Disability Percentage 16.0% 15.0%

Health Statistics Comparison: Sylvania vs Russell springs

  • In Russell springs, a higher percentage report poor mental health at 20.7% compared to 18.9% in Sylvania.
  • Higher depression rates are seen in Russell springs at 29.0% versus 21.8% in Sylvania.
  • Russell springs has a higher smoking rate at 25.6% compared to 21.8% in Sylvania.
  • More residents engage in binge drinking in Russell springs at 14.5% compared to 13.6% in Sylvania.
  • Obesity rates are higher in Sylvania at 40.5% compared to 40.3% in Russell springs.
  • Disability percentages are higher in Sylvania at 16.0% compared to 15.0% in Russell springs.

Education Levels

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

Education Level Sylvania Russell springs
No Schooling 0.3% (8) 0.7% (20)
High School Diploma 27.1% (704) 13.6% (375)
Less than High School 18.6% (485) 23.3% (642)
Bachelor's Degree and Higher 10.4% (271) 18.4% (505)

Education Levels Comparison: Sylvania vs Russell springs

  • In Russell springs, a larger percentage of residents lack formal schooling at 0.7% compared to 0.3% in Sylvania.
  • A higher percentage of residents in Sylvania hold a high school diploma at 27.1% compared to 13.6% in Russell springs.
  • The percentage of residents with less than a high school education is higher in Russell springs at 23.3%, compared to 18.6% in Sylvania.
  • In Russell springs, a larger share of residents have a bachelor's degree or higher at 18.4% compared to 10.4% in Sylvania.

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.