Demographics details for Sylvania, GA vs Independence, LA

Population Overview

Compare main population characteristics in Sylvania, GA vs Independence, LA.

Data Sylvania Independence
Population 2,602 1,644
Median Age 43.7 years 36.0 years
Median Income $36,682 $41,071
Married Families 33.0% 37.0%
Poverty Level 18% 23%
Unemployment Rate 5.2 5.2

Population Comparison: Sylvania vs Independence

  • In Sylvania, the population is higher at 2,602, compared to 1,644 in Independence.
  • Residents in Sylvania have a higher median age of 43.7 years compared to 36.0 years in Independence.
  • Independence has a higher median income of $41,071, compared to $36,682 in Sylvania.
  • In Independence, the percentage of married families is higher at 37.0%, compared to 33.0% in Sylvania.
  • The poverty level is higher in Independence at 23%, compared to 18% in Sylvania.
  • The unemployment rate is the same in both Sylvania and Independence at 5.2%.

Demographics

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

Demographic Sylvania Independence
Black 57 66
White 40 20
Asian Data is updating Data is updating
Hispanic 1 5
Two or More Races 2 9
American Indian Data is updating Data is updating

Demographics Comparison: Sylvania vs Independence

  • In Independence, the percentage of Black residents is higher at 66% compared to 57% in Sylvania.
  • Sylvania has a higher percentage of White residents at 40% compared to 20% in Independence.
  • Both Sylvania and Independence have the same percentage of Asian residents at 0%.
  • Independence has a higher percentage of Hispanic residents at 5%, compared to 1% in Sylvania.
  • The percentage of residents identifying as two or more races is higher in Independence at 9%, compared to 2% in Sylvania.
  • The percentage of American Indian residents is the same in both Sylvania and Independence at 0%.

Health Statistics

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

Health Metric Sylvania Independence
Mental Health Not Good 18.9% 22.5%
Physical Health Not Good 14.4% 16.4%
Depression 21.8% 26.8%
Smoking 21.8% 26.7%
Binge Drinking 13.6% 16.5%
Obesity 40.5% 43.8%
Disability Percentage 16.0% 26.0%

Health Statistics Comparison: Sylvania vs Independence

  • In Independence, a higher percentage report poor mental health at 22.5% compared to 18.9% in Sylvania.
  • Higher depression rates are seen in Independence at 26.8% versus 21.8% in Sylvania.
  • Independence has a higher smoking rate at 26.7% compared to 21.8% in Sylvania.
  • More residents engage in binge drinking in Independence at 16.5% compared to 13.6% in Sylvania.
  • Independence has higher obesity rates at 43.8% compared to 40.5% in Sylvania.
  • There is a higher percentage of disabled individuals in Independence at 26.0% compared to 16.0% in Sylvania.

Education Levels

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

Education Level Sylvania Independence
No Schooling 0.3% (8) 0.4% (7)
High School Diploma 27.1% (704) 27.1% (445)
Less than High School 18.6% (485) 24.4% (401)
Bachelor's Degree and Higher 10.4% (271) 11.5% (189)

Education Levels Comparison: Sylvania vs Independence

  • In Independence, a larger percentage of residents lack formal schooling at 0.4% compared to 0.3% in Sylvania.
  • Both cities have the same percentage of residents with high school diplomas at 27.1%.
  • The percentage of residents with less than a high school education is higher in Independence at 24.4%, compared to 18.6% in Sylvania.
  • In Independence, a larger share of residents have a bachelor's degree or higher at 11.5% 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.