Demographics details for Winona lake, IN vs Spotsylvania, VA

Population Overview

Compare main population characteristics in Winona lake, IN vs Spotsylvania, VA.

Data Winona lake Spotsylvania
Population 5,106 146,688
Median Age 28.9 years 38.1 years
Median Income $77,305 $105,068
Married Families 36.0% 43.0%
Poverty Level 5% 5%
Unemployment Rate 2.5 3.2

Population Comparison: Winona lake vs Spotsylvania

  • The population in Spotsylvania is higher at 146,688, compared to 5,106 in Winona lake.
  • The median age in Spotsylvania is higher at 38.1 years, compared to 28.9 years in Winona lake.
  • Spotsylvania has a higher median income of $105,068, compared to $77,305 in Winona lake.
  • In Spotsylvania, the percentage of married families is higher at 43.0%, compared to 36.0% in Winona lake.
  • The poverty level is identical in both Winona lake and Spotsylvania at 5%.
  • Spotsylvania has a higher unemployment rate at 3.2% compared to 2.5% in Winona lake.

Demographics

Demographics Winona lake vs Spotsylvania provide insight into the diversity of the communities to compare.

Demographic Winona lake Spotsylvania
Black 1 16
White 79 63
Asian 1 3
Hispanic 14 11
Two or More Races 5 7
American Indian Data is updating Data is updating

Demographics Comparison: Winona lake vs Spotsylvania

  • In Spotsylvania, the percentage of Black residents is higher at 16% compared to 1% in Winona lake.
  • Winona lake has a higher percentage of White residents at 79% compared to 63% in Spotsylvania.
  • In Spotsylvania, the Asian population stands at 3%, greater than 1% in Winona lake.
  • The Hispanic community is larger in Winona lake at 14% compared to 11% in Spotsylvania.
  • The percentage of residents identifying as two or more races is higher in Spotsylvania at 7%, compared to 5% in Winona lake.
  • The percentage of American Indian residents is the same in both Winona lake and Spotsylvania at 0%.

Health Statistics

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

Health Metric Winona lake Spotsylvania
Mental Health Not Good 15.7% 15.5%
Physical Health Not Good 9.8% 10.0%
Depression 24.7% 21.8%
Smoking 16.3% 13.7%
Binge Drinking 18.1% 17.1%
Obesity 35.6% 35.9%
Disability Percentage 8.0% 10.0%

Health Statistics Comparison: Winona lake vs Spotsylvania

  • More residents in Winona lake report poor mental health at 15.7% compared to 15.5% in Spotsylvania.
  • Depression is more prevalent in Winona lake at 24.7% compared to 21.8% in Spotsylvania.
  • Smoking is more prevalent in Winona lake at 16.3% compared to 13.7% in Spotsylvania.
  • Binge drinking is more common in Winona lake at 18.1% compared to 17.1% in Spotsylvania.
  • Spotsylvania has higher obesity rates at 35.9% compared to 35.6% in Winona lake.
  • There is a higher percentage of disabled individuals in Spotsylvania at 10.0% compared to 8.0% in Winona lake.

Education Levels

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

Education Level Winona lake Spotsylvania
No Schooling 0.3% (17) 0.9% (1,297)
High School Diploma 9.5% (483) 15.5% (22,702)
Less than High School 4.0% (205) 10.2% (14,913)
Bachelor's Degree and Higher 32.4% (1,654) 21.4% (31,461)

Education Levels Comparison: Winona lake vs Spotsylvania

  • In Spotsylvania, a larger percentage of residents lack formal schooling at 0.9% compared to 0.3% in Winona lake.
  • In Spotsylvania, the rate of residents with high school diplomas is higher at 15.5% compared to 9.5% in Winona lake.
  • The percentage of residents with less than a high school education is higher in Spotsylvania at 10.2%, compared to 4.0% in Winona lake.
  • A higher percentage of residents in Winona lake hold a bachelor's degree or higher at 32.4% compared to 21.4% in Spotsylvania.

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.