Demographics details for Coon valley, WI vs Tullahoma, TN

Population Overview

Compare main population characteristics in Coon valley, WI vs Tullahoma, TN.

Data Coon valley Tullahoma
Population 759 20,830
Median Age 39.6 years 40.2 years
Median Income $53,958 $56,771
Married Families 59.0% 41.0%
Poverty Level 8% 10%
Unemployment Rate 3.2 3.5

Population Comparison: Coon valley vs Tullahoma

  • The population in Tullahoma is higher at 20,830, compared to 759 in Coon valley.
  • The median age in Tullahoma is higher at 40.2 years, compared to 39.6 years in Coon valley.
  • Tullahoma has a higher median income of $56,771, compared to $53,958 in Coon valley.
  • A higher percentage of married families is found in Coon valley at 59.0% compared to 41.0% in Tullahoma.
  • The poverty level is higher in Tullahoma at 10%, compared to 8% in Coon valley.
  • Tullahoma has a higher unemployment rate at 3.5% compared to 3.2% in Coon valley.

Demographics

Demographics Coon valley vs Tullahoma provide insight into the diversity of the communities to compare.

Demographic Coon valley Tullahoma
Black Data is updating 6
White 95 83
Asian Data is updating 2
Hispanic 2 5
Two or More Races 3 4
American Indian Data is updating Data is updating

Demographics Comparison: Coon valley vs Tullahoma

  • In Tullahoma, the percentage of Black residents is higher at 6% compared to 0% in Coon valley.
  • Coon valley has a higher percentage of White residents at 95% compared to 83% in Tullahoma.
  • In Tullahoma, the Asian population stands at 2%, greater than 0% in Coon valley.
  • Tullahoma has a higher percentage of Hispanic residents at 5%, compared to 2% in Coon valley.
  • The percentage of residents identifying as two or more races is higher in Tullahoma at 4%, compared to 3% in Coon valley.
  • The percentage of American Indian residents is the same in both Coon valley and Tullahoma at 0%.

Health Statistics

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

Health Metric Coon valley Tullahoma
Mental Health Not Good 14.8% 19.9%
Physical Health Not Good 9.8% 14.0%
Depression 22.9% 28.9%
Smoking 15.9% 22.6%
Binge Drinking 24.8% 15.1%
Obesity 37.5% 39.1%
Disability Percentage 16.0% 19.0%

Health Statistics Comparison: Coon valley vs Tullahoma

  • In Tullahoma, a higher percentage report poor mental health at 19.9% compared to 14.8% in Coon valley.
  • Higher depression rates are seen in Tullahoma at 28.9% versus 22.9% in Coon valley.
  • Tullahoma has a higher smoking rate at 22.6% compared to 15.9% in Coon valley.
  • Binge drinking is more common in Coon valley at 24.8% compared to 15.1% in Tullahoma.
  • Tullahoma has higher obesity rates at 39.1% compared to 37.5% in Coon valley.
  • There is a higher percentage of disabled individuals in Tullahoma at 19.0% compared to 16.0% in Coon valley.

Education Levels

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

Education Level Coon valley Tullahoma
No Schooling 0.0% (Data is updating) 0.6% (117)
High School Diploma 29.6% (225) 18.9% (3,932)
Less than High School 8.7% (66) 14.1% (2,944)
Bachelor's Degree and Higher 19.5% (148) 19.3% (4,012)

Education Levels Comparison: Coon valley vs Tullahoma

  • In Tullahoma, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Coon valley.
  • A higher percentage of residents in Coon valley hold a high school diploma at 29.6% compared to 18.9% in Tullahoma.
  • The percentage of residents with less than a high school education is higher in Tullahoma at 14.1%, compared to 8.7% in Coon valley.
  • A higher percentage of residents in Coon valley hold a bachelor's degree or higher at 19.5% compared to 19.3% in Tullahoma.

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.