Demographics details for Wapakoneta, OH vs Forest lake, MN

Population Overview

Compare main population characteristics in Wapakoneta, OH vs Forest lake, MN.

Data Wapakoneta Forest lake
Population 9,776 20,857
Median Age 41.6 years 37.9 years
Median Income $63,008 $91,157
Married Families 42.0% 42.0%
Poverty Level 10% 6%
Unemployment Rate 4.5 3.2

Population Comparison: Wapakoneta vs Forest lake

  • The population in Forest lake is higher at 20,857, compared to 9,776 in Wapakoneta.
  • Residents in Wapakoneta have a higher median age of 41.6 years compared to 37.9 years in Forest lake.
  • Forest lake has a higher median income of $91,157, compared to $63,008 in Wapakoneta.
  • The percentage of married families is the same in both Wapakoneta and Forest lake at 42.0%.
  • Wapakoneta has a higher poverty level at 10% compared to 6% in Forest lake.
  • The unemployment rate in Wapakoneta is higher at 4.5%, compared to 3.2% in Forest lake.

Demographics

Demographics Wapakoneta vs Forest lake provide insight into the diversity of the communities to compare.

Demographic Wapakoneta Forest lake
Black 1 3
White 89 81
Asian Data is updating 4
Hispanic 5 6
Two or More Races 5 6
American Indian Data is updating Data is updating

Demographics Comparison: Wapakoneta vs Forest lake

  • In Forest lake, the percentage of Black residents is higher at 3% compared to 1% in Wapakoneta.
  • Wapakoneta has a higher percentage of White residents at 89% compared to 81% in Forest lake.
  • In Forest lake, the Asian population stands at 4%, greater than 0% in Wapakoneta.
  • Forest lake has a higher percentage of Hispanic residents at 6%, compared to 5% in Wapakoneta.
  • The percentage of residents identifying as two or more races is higher in Forest lake at 6%, compared to 5% in Wapakoneta.
  • The percentage of American Indian residents is the same in both Wapakoneta and Forest lake at 0%.

Health Statistics

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

Health Metric Wapakoneta Forest lake
Mental Health Not Good 18.1% 14.7%
Physical Health Not Good 12.3% 8.8%
Depression 23.8% 24.1%
Smoking 21.3% 15.7%
Binge Drinking 18.8% 21.4%
Obesity 38.8% 32.9%
Disability Percentage 13.0% 10.0%

Health Statistics Comparison: Wapakoneta vs Forest lake

  • More residents in Wapakoneta report poor mental health at 18.1% compared to 14.7% in Forest lake.
  • Higher depression rates are seen in Forest lake at 24.1% versus 23.8% in Wapakoneta.
  • Smoking is more prevalent in Wapakoneta at 21.3% compared to 15.7% in Forest lake.
  • More residents engage in binge drinking in Forest lake at 21.4% compared to 18.8% in Wapakoneta.
  • Obesity rates are higher in Wapakoneta at 38.8% compared to 32.9% in Forest lake.
  • Disability percentages are higher in Wapakoneta at 13.0% compared to 10.0% in Forest lake.

Education Levels

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

Education Level Wapakoneta Forest lake
No Schooling 0.1% (9) 0.5% (101)
High School Diploma 26.9% (2,625) 14.6% (3,055)
Less than High School 11.8% (1,157) 7.7% (1,615)
Bachelor's Degree and Higher 14.0% (1,364) 24.6% (5,123)

Education Levels Comparison: Wapakoneta vs Forest lake

  • In Forest lake, a larger percentage of residents lack formal schooling at 0.5% compared to 0.1% in Wapakoneta.
  • A higher percentage of residents in Wapakoneta hold a high school diploma at 26.9% compared to 14.6% in Forest lake.
  • More residents in Wapakoneta have less than a high school education at 11.8% compared to 7.7% in Forest lake.
  • In Forest lake, a larger share of residents have a bachelor's degree or higher at 24.6% compared to 14.0% in Wapakoneta.

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.