Demographics details for Kenosha, WI vs Silver springs, FL

Population Overview

Compare main population characteristics in Kenosha, WI vs Silver springs, FL.

Data Kenosha Silver springs
Population 98,484 16,606
Median Age 36.3 years 45.0 years
Median Income $64,963 $52,000
Married Families 35.0% 40.0%
Poverty Level 13% 15%
Unemployment Rate 4.1 4.0

Population Comparison: Kenosha vs Silver springs

  • In Kenosha, the population is higher at 98,484, compared to 16,606 in Silver springs.
  • The median age in Silver springs is higher at 45.0 years, compared to 36.3 years in Kenosha.
  • Kenosha has a higher median income of $64,963 compared to $52,000 in Silver springs.
  • In Silver springs, the percentage of married families is higher at 40.0%, compared to 35.0% in Kenosha.
  • The poverty level is higher in Silver springs at 15%, compared to 13% in Kenosha.
  • The unemployment rate in Kenosha is higher at 4.1%, compared to 4.0% in Silver springs.

Demographics

Demographics Kenosha vs Silver springs provide insight into the diversity of the communities to compare.

Demographic Kenosha Silver springs
Black 10 15
White 57 75
Asian 2 5
Hispanic 18 5
Two or More Races 12 Data is updating
American Indian 1 Data is updating

Demographics Comparison: Kenosha vs Silver springs

  • In Silver springs, the percentage of Black residents is higher at 15% compared to 10% in Kenosha.
  • The percentage of White residents is higher in Silver springs at 75% compared to 57% in Kenosha.
  • In Silver springs, the Asian population stands at 5%, greater than 2% in Kenosha.
  • The Hispanic community is larger in Kenosha at 18% compared to 5% in Silver springs.
  • More residents identify as two or more races in Kenosha at 12% compared to 0% in Silver springs.
  • A greater percentage of American Indian residents live in Kenosha at 1% compared to 0% in Silver springs.

Health Statistics

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

Health Metric Kenosha Silver springs
Mental Health Not Good 15.7% Data is updating%
Physical Health Not Good 11.1% Data is updating%
Depression 23.4% Data is updating%
Smoking 17.1% Data is updating%
Binge Drinking 22.4% Data is updating%
Obesity 38.8% Data is updating%
Disability Percentage 14.0% Data is updating%

Health Statistics Comparison: Kenosha vs Silver springs

  • More residents in Kenosha report poor mental health at 15.7% compared to 0.0% in Silver springs.
  • Depression is more prevalent in Kenosha at 23.4% compared to 0.0% in Silver springs.
  • Smoking is more prevalent in Kenosha at 17.1% compared to 0.0% in Silver springs.
  • Binge drinking is more common in Kenosha at 22.4% compared to 0.0% in Silver springs.
  • Obesity rates are higher in Kenosha at 38.8% compared to 0.0% in Silver springs.
  • Disability percentages are higher in Kenosha at 14.0% compared to 0.0% in Silver springs.

Education Levels

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

Education Level Kenosha Silver springs
No Schooling 1.1% (1,036) 0.0% (Data is updating)
High School Diploma 15.4% (15,122) 0.0% (Data is updating)
Less than High School 12.9% (12,739) 0.0% (Data is updating)
Bachelor's Degree and Higher 18.1% (17,852) 0.0% (Data is updating)

Education Levels Comparison: Kenosha vs Silver springs

  • A higher percentage of residents in Kenosha have no formal schooling at 1.1% compared to 0.0% in Silver springs.
  • A higher percentage of residents in Kenosha hold a high school diploma at 15.4% compared to 0.0% in Silver springs.
  • More residents in Kenosha have less than a high school education at 12.9% compared to 0.0% in Silver springs.
  • A higher percentage of residents in Kenosha hold a bachelor's degree or higher at 18.1% compared to 0.0% in Silver springs.

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.