Demographics details for Swainsboro, GA vs Falling waters, WV

Population Overview

Compare main population characteristics in Swainsboro, GA vs Falling waters, WV.

Data Swainsboro Falling waters
Population 7,583 2,150
Median Age 30.1 years 32.2 years
Median Income $44,491 $84,038
Married Families 25.0% 29.0%
Poverty Level 24% 9%
Unemployment Rate 5.0 3.5

Population Comparison: Swainsboro vs Falling waters

  • In Swainsboro, the population is higher at 7,583, compared to 2,150 in Falling waters.
  • The median age in Falling waters is higher at 32.2 years, compared to 30.1 years in Swainsboro.
  • Falling waters has a higher median income of $84,038, compared to $44,491 in Swainsboro.
  • In Falling waters, the percentage of married families is higher at 29.0%, compared to 25.0% in Swainsboro.
  • Swainsboro has a higher poverty level at 24% compared to 9% in Falling waters.
  • The unemployment rate in Swainsboro is higher at 5.0%, compared to 3.5% in Falling waters.

Demographics

Demographics Swainsboro vs Falling waters provide insight into the diversity of the communities to compare.

Demographic Swainsboro Falling waters
Black 57 6
White 33 92
Asian Data is updating Data is updating
Hispanic 4 Data is updating
Two or More Races 6 2
American Indian Data is updating Data is updating

Demographics Comparison: Swainsboro vs Falling waters

  • A higher percentage of Black residents are in Swainsboro at 57% compared to 6% in Falling waters.
  • The percentage of White residents is higher in Falling waters at 92% compared to 33% in Swainsboro.
  • Both Swainsboro and Falling waters have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Swainsboro at 4% compared to 0% in Falling waters.
  • More residents identify as two or more races in Swainsboro at 6% compared to 2% in Falling waters.
  • The percentage of American Indian residents is the same in both Swainsboro and Falling waters at 0%.

Health Statistics

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

Health Metric Swainsboro Falling waters
Mental Health Not Good 18.7% 18.5%
Physical Health Not Good 14.6% 11.9%
Depression 20.6% 25.7%
Smoking 22.6% 18.7%
Binge Drinking 13.6% 15.2%
Obesity 42.6% 37.6%
Disability Percentage 24.0% 24.0%

Health Statistics Comparison: Swainsboro vs Falling waters

  • More residents in Swainsboro report poor mental health at 18.7% compared to 18.5% in Falling waters.
  • Higher depression rates are seen in Falling waters at 25.7% versus 20.6% in Swainsboro.
  • Smoking is more prevalent in Swainsboro at 22.6% compared to 18.7% in Falling waters.
  • More residents engage in binge drinking in Falling waters at 15.2% compared to 13.6% in Swainsboro.
  • Obesity rates are higher in Swainsboro at 42.6% compared to 37.6% in Falling waters.
  • Disability percentages are the same in both Swainsboro and Falling waters at 24.0%.

Education Levels

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

Education Level Swainsboro Falling waters
No Schooling 1.9% (147) 0.0% (Data is updating)
High School Diploma 16.7% (1,264) 22.4% (482)
Less than High School 11.6% (879) 4.7% (102)
Bachelor's Degree and Higher 6.6% (500) 11.0% (237)

Education Levels Comparison: Swainsboro vs Falling waters

  • A higher percentage of residents in Swainsboro have no formal schooling at 1.9% compared to 0.0% in Falling waters.
  • In Falling waters, the rate of residents with high school diplomas is higher at 22.4% compared to 16.7% in Swainsboro.
  • More residents in Swainsboro have less than a high school education at 11.6% compared to 4.7% in Falling waters.
  • In Falling waters, a larger share of residents have a bachelor's degree or higher at 11.0% compared to 6.6% in Swainsboro.

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.