Demographics details for Oconto falls, WI vs Mountain grove, MO

Population Overview

Compare main population characteristics in Oconto falls, WI vs Mountain grove, MO.

Data Oconto falls Mountain grove
Population 2,996 4,551
Median Age 38.8 years 42.3 years
Median Income $47,941 $38,103
Married Families 29.0% 35.0%
Poverty Level 9% 15%
Unemployment Rate 4.1 4.5

Population Comparison: Oconto falls vs Mountain grove

  • The population in Mountain grove is higher at 4,551, compared to 2,996 in Oconto falls.
  • The median age in Mountain grove is higher at 42.3 years, compared to 38.8 years in Oconto falls.
  • Oconto falls has a higher median income of $47,941 compared to $38,103 in Mountain grove.
  • In Mountain grove, the percentage of married families is higher at 35.0%, compared to 29.0% in Oconto falls.
  • The poverty level is higher in Mountain grove at 15%, compared to 9% in Oconto falls.
  • Mountain grove has a higher unemployment rate at 4.5% compared to 4.1% in Oconto falls.

Demographics

Demographics Oconto falls vs Mountain grove provide insight into the diversity of the communities to compare.

Demographic Oconto falls Mountain grove
Black Data is updating Data is updating
White 96 89
Asian Data is updating 1
Hispanic Data is updating 2
Two or More Races 4 8
American Indian Data is updating Data is updating

Demographics Comparison: Oconto falls vs Mountain grove

  • The percentage of Black residents is the same in both Oconto falls and Mountain grove at 0%.
  • Oconto falls has a higher percentage of White residents at 96% compared to 89% in Mountain grove.
  • In Mountain grove, the Asian population stands at 1%, greater than 0% in Oconto falls.
  • Mountain grove has a higher percentage of Hispanic residents at 2%, compared to 0% in Oconto falls.
  • The percentage of residents identifying as two or more races is higher in Mountain grove at 8%, compared to 4% in Oconto falls.
  • The percentage of American Indian residents is the same in both Oconto falls and Mountain grove at 0%.

Health Statistics

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

Health Metric Oconto falls Mountain grove
Mental Health Not Good 16.2% 22.5%
Physical Health Not Good 10.8% 18.1%
Depression 24.5% 28.4%
Smoking 18.0% 31.2%
Binge Drinking 24.0% 14.8%
Obesity 39.4% 44.6%
Disability Percentage 17.0% 24.0%

Health Statistics Comparison: Oconto falls vs Mountain grove

  • In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 16.2% in Oconto falls.
  • Higher depression rates are seen in Mountain grove at 28.4% versus 24.5% in Oconto falls.
  • Mountain grove has a higher smoking rate at 31.2% compared to 18.0% in Oconto falls.
  • Binge drinking is more common in Oconto falls at 24.0% compared to 14.8% in Mountain grove.
  • Mountain grove has higher obesity rates at 44.6% compared to 39.4% in Oconto falls.
  • There is a higher percentage of disabled individuals in Mountain grove at 24.0% compared to 17.0% in Oconto falls.

Education Levels

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

Education Level Oconto falls Mountain grove
No Schooling 0.5% (15) 0.6% (26)
High School Diploma 18.4% (550) 27.6% (1,256)
Less than High School 12.3% (369) 23.2% (1,057)
Bachelor's Degree and Higher 9.1% (274) 8.8% (400)

Education Levels Comparison: Oconto falls vs Mountain grove

  • In Mountain grove, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Oconto falls.
  • In Mountain grove, the rate of residents with high school diplomas is higher at 27.6% compared to 18.4% in Oconto falls.
  • The percentage of residents with less than a high school education is higher in Mountain grove at 23.2%, compared to 12.3% in Oconto falls.
  • A higher percentage of residents in Oconto falls hold a bachelor's degree or higher at 9.1% compared to 8.8% in Mountain grove.

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.