Demographics details for Smyrna, GA vs Williams bay, WI

Population Overview

Compare main population characteristics in Smyrna, GA vs Williams bay, WI.

Data Smyrna Williams bay
Population 56,160 2,969
Median Age 35.6 years 48.2 years
Median Income $92,258 $71,250
Married Families 37.0% 43.0%
Poverty Level 8% Data is updating
Unemployment Rate 3.4 3.0

Population Comparison: Smyrna vs Williams bay

  • In Smyrna, the population is higher at 56,160, compared to 2,969 in Williams bay.
  • The median age in Williams bay is higher at 48.2 years, compared to 35.6 years in Smyrna.
  • Smyrna has a higher median income of $92,258 compared to $71,250 in Williams bay.
  • In Williams bay, the percentage of married families is higher at 43.0%, compared to 37.0% in Smyrna.
  • Smyrna has a higher poverty level at 8% compared to 0% in Williams bay.
  • The unemployment rate in Smyrna is higher at 3.4%, compared to 3.0% in Williams bay.

Demographics

Demographics Smyrna vs Williams bay provide insight into the diversity of the communities to compare.

Demographic Smyrna Williams bay
Black 33 Data is updating
White 40 91
Asian 8 Data is updating
Hispanic 11 8
Two or More Races 7 1
American Indian 1 Data is updating

Demographics Comparison: Smyrna vs Williams bay

  • A higher percentage of Black residents are in Smyrna at 33% compared to 0% in Williams bay.
  • The percentage of White residents is higher in Williams bay at 91% compared to 40% in Smyrna.
  • The Asian population is larger in Smyrna at 8% compared to 0% in Williams bay.
  • The Hispanic community is larger in Smyrna at 11% compared to 8% in Williams bay.
  • More residents identify as two or more races in Smyrna at 7% compared to 1% in Williams bay.
  • A greater percentage of American Indian residents live in Smyrna at 1% compared to 0% in Williams bay.

Health Statistics

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

Health Metric Smyrna Williams bay
Mental Health Not Good 13.8% 14.3%
Physical Health Not Good 9.6% 9.1%
Depression 17.4% 22.8%
Smoking 11.9% 13.3%
Binge Drinking 14.9% 24.1%
Obesity 30.0% 36.4%
Disability Percentage 8.0% 19.0%

Health Statistics Comparison: Smyrna vs Williams bay

  • In Williams bay, a higher percentage report poor mental health at 14.3% compared to 13.8% in Smyrna.
  • Higher depression rates are seen in Williams bay at 22.8% versus 17.4% in Smyrna.
  • Williams bay has a higher smoking rate at 13.3% compared to 11.9% in Smyrna.
  • More residents engage in binge drinking in Williams bay at 24.1% compared to 14.9% in Smyrna.
  • Williams bay has higher obesity rates at 36.4% compared to 30.0% in Smyrna.
  • There is a higher percentage of disabled individuals in Williams bay at 19.0% compared to 8.0% in Smyrna.

Education Levels

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

Education Level Smyrna Williams bay
No Schooling 0.4% (203) 0.3% (9)
High School Diploma 7.8% (4,397) 11.6% (345)
Less than High School 5.6% (3,139) 1.4% (43)
Bachelor's Degree and Higher 41.0% (23,025) 34.6% (1,028)

Education Levels Comparison: Smyrna vs Williams bay

  • A higher percentage of residents in Smyrna have no formal schooling at 0.4% compared to 0.3% in Williams bay.
  • In Williams bay, the rate of residents with high school diplomas is higher at 11.6% compared to 7.8% in Smyrna.
  • More residents in Smyrna have less than a high school education at 5.6% compared to 1.4% in Williams bay.
  • A higher percentage of residents in Smyrna hold a bachelor's degree or higher at 41.0% compared to 34.6% in Williams bay.

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.