Demographics details for Wildwood, GA vs Beaver dam, WI

Population Overview

Compare main population characteristics in Wildwood, GA vs Beaver dam, WI.

Data Wildwood Beaver dam
Population 1,923 16,582
Median Age 35.0 years 40.4 years
Median Income $50,000 $65,802
Married Families 30.0% 35.0%
Poverty Level 12% Data is updating
Unemployment Rate 4.0 3.1

Population Comparison: Wildwood vs Beaver dam

  • The population in Beaver dam is higher at 16,582, compared to 1,923 in Wildwood.
  • The median age in Beaver dam is higher at 40.4 years, compared to 35.0 years in Wildwood.
  • Beaver dam has a higher median income of $65,802, compared to $50,000 in Wildwood.
  • In Beaver dam, the percentage of married families is higher at 35.0%, compared to 30.0% in Wildwood.
  • Wildwood has a higher poverty level at 12% compared to 0% in Beaver dam.
  • The unemployment rate in Wildwood is higher at 4.0%, compared to 3.1% in Beaver dam.

Demographics

Demographics Wildwood vs Beaver dam provide insight into the diversity of the communities to compare.

Demographic Wildwood Beaver dam
Black 5 3
White 90 81
Asian Data is updating 2
Hispanic 3 8
Two or More Races 2 6
American Indian Data is updating Data is updating

Demographics Comparison: Wildwood vs Beaver dam

  • A higher percentage of Black residents are in Wildwood at 5% compared to 3% in Beaver dam.
  • Wildwood has a higher percentage of White residents at 90% compared to 81% in Beaver dam.
  • In Beaver dam, the Asian population stands at 2%, greater than 0% in Wildwood.
  • Beaver dam has a higher percentage of Hispanic residents at 8%, compared to 3% in Wildwood.
  • The percentage of residents identifying as two or more races is higher in Beaver dam at 6%, compared to 2% in Wildwood.
  • The percentage of American Indian residents is the same in both Wildwood and Beaver dam at 0%.

Health Statistics

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

Health Metric Wildwood Beaver dam
Mental Health Not Good Data is updating% 15.7%
Physical Health Not Good Data is updating% 10.6%
Depression Data is updating% 23.6%
Smoking Data is updating% 17.6%
Binge Drinking Data is updating% 23.5%
Obesity Data is updating% 36.6%
Disability Percentage Data is updating% 11.0%

Health Statistics Comparison: Wildwood vs Beaver dam

  • In Beaver dam, a higher percentage report poor mental health at 15.7% compared to 0.0% in Wildwood.
  • Higher depression rates are seen in Beaver dam at 23.6% versus 0.0% in Wildwood.
  • Beaver dam has a higher smoking rate at 17.6% compared to 0.0% in Wildwood.
  • More residents engage in binge drinking in Beaver dam at 23.5% compared to 0.0% in Wildwood.
  • Beaver dam has higher obesity rates at 36.6% compared to 0.0% in Wildwood.
  • There is a higher percentage of disabled individuals in Beaver dam at 11.0% compared to 0.0% in Wildwood.

Education Levels

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

Education Level Wildwood Beaver dam
No Schooling 0.0% (Data is updating) 0.3% (47)
High School Diploma 0.0% (Data is updating) 23.8% (3,947)
Less than High School 0.0% (Data is updating) 10.3% (1,706)
Bachelor's Degree and Higher 0.0% (Data is updating) 18.2% (3,023)

Education Levels Comparison: Wildwood vs Beaver dam

  • In Beaver dam, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Wildwood.
  • In Beaver dam, the rate of residents with high school diplomas is higher at 23.8% compared to 0.0% in Wildwood.
  • The percentage of residents with less than a high school education is higher in Beaver dam at 10.3%, compared to 0.0% in Wildwood.
  • In Beaver dam, a larger share of residents have a bachelor's degree or higher at 18.2% compared to 0.0% in Wildwood.

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.