Demographics details for Spring valley, IL vs Vincennes, IN

Population Overview

Compare main population characteristics in Spring valley, IL vs Vincennes, IN.

Data Spring valley Vincennes
Population 5,461 16,484
Median Age 43.4 years 37.1 years
Median Income $60,861 $47,376
Married Families 40.0% 36.0%
Poverty Level 14% 14%
Unemployment Rate 5.1 3.5

Population Comparison: Spring valley vs Vincennes

  • The population in Vincennes is higher at 16,484, compared to 5,461 in Spring valley.
  • Residents in Spring valley have a higher median age of 43.4 years compared to 37.1 years in Vincennes.
  • Spring valley has a higher median income of $60,861 compared to $47,376 in Vincennes.
  • A higher percentage of married families is found in Spring valley at 40.0% compared to 36.0% in Vincennes.
  • The poverty level is identical in both Spring valley and Vincennes at 14%.
  • The unemployment rate in Spring valley is higher at 5.1%, compared to 3.5% in Vincennes.

Demographics

Demographics Spring valley vs Vincennes provide insight into the diversity of the communities to compare.

Demographic Spring valley Vincennes
Black 2 5
White 72 83
Asian Data is updating 2
Hispanic 23 5
Two or More Races 3 5
American Indian Data is updating Data is updating

Demographics Comparison: Spring valley vs Vincennes

  • In Vincennes, the percentage of Black residents is higher at 5% compared to 2% in Spring valley.
  • The percentage of White residents is higher in Vincennes at 83% compared to 72% in Spring valley.
  • In Vincennes, the Asian population stands at 2%, greater than 0% in Spring valley.
  • The Hispanic community is larger in Spring valley at 23% compared to 5% in Vincennes.
  • The percentage of residents identifying as two or more races is higher in Vincennes at 5%, compared to 3% in Spring valley.
  • The percentage of American Indian residents is the same in both Spring valley and Vincennes at 0%.

Health Statistics

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

Health Metric Spring valley Vincennes
Mental Health Not Good 16.6% 19.4%
Physical Health Not Good 11.5% 13.8%
Depression 22.1% 27.2%
Smoking 17.9% 24.5%
Binge Drinking 17.7% 15.7%
Obesity 37.6% 41.7%
Disability Percentage 17.0% 21.0%

Health Statistics Comparison: Spring valley vs Vincennes

  • In Vincennes, a higher percentage report poor mental health at 19.4% compared to 16.6% in Spring valley.
  • Higher depression rates are seen in Vincennes at 27.2% versus 22.1% in Spring valley.
  • Vincennes has a higher smoking rate at 24.5% compared to 17.9% in Spring valley.
  • Binge drinking is more common in Spring valley at 17.7% compared to 15.7% in Vincennes.
  • Vincennes has higher obesity rates at 41.7% compared to 37.6% in Spring valley.
  • There is a higher percentage of disabled individuals in Vincennes at 21.0% compared to 17.0% in Spring valley.

Education Levels

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

Education Level Spring valley Vincennes
No Schooling 1.6% (85) 1.9% (313)
High School Diploma 20.0% (1,092) 19.0% (3,130)
Less than High School 17.8% (970) 19.9% (3,286)
Bachelor's Degree and Higher 12.3% (669) 9.9% (1,625)

Education Levels Comparison: Spring valley vs Vincennes

  • In Vincennes, a larger percentage of residents lack formal schooling at 1.9% compared to 1.6% in Spring valley.
  • A higher percentage of residents in Spring valley hold a high school diploma at 20.0% compared to 19.0% in Vincennes.
  • The percentage of residents with less than a high school education is higher in Vincennes at 19.9%, compared to 17.8% in Spring valley.
  • A higher percentage of residents in Spring valley hold a bachelor's degree or higher at 12.3% compared to 9.9% in Vincennes.

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.