Demographics details for Lake butler, FL vs Wapakoneta, OH

Population Overview

Compare main population characteristics in Lake butler, FL vs Wapakoneta, OH.

Data Lake butler Wapakoneta
Population 17,765 9,776
Median Age 43.8 years 41.6 years
Median Income $150,316 $63,008
Married Families 55.0% 42.0%
Poverty Level 10% 10%
Unemployment Rate 4.5 4.5

Population Comparison: Lake butler vs Wapakoneta

  • In Lake butler, the population is higher at 17,765, compared to 9,776 in Wapakoneta.
  • Residents in Lake butler have a higher median age of 43.8 years compared to 41.6 years in Wapakoneta.
  • Lake butler has a higher median income of $150,316 compared to $63,008 in Wapakoneta.
  • A higher percentage of married families is found in Lake butler at 55.0% compared to 42.0% in Wapakoneta.
  • The poverty level is identical in both Lake butler and Wapakoneta at 10%.
  • The unemployment rate is the same in both Lake butler and Wapakoneta at 4.5%.

Demographics

Demographics Lake butler vs Wapakoneta provide insight into the diversity of the communities to compare.

Demographic Lake butler Wapakoneta
Black 6 1
White 53 89
Asian 16 Data is updating
Hispanic 12 5
Two or More Races 13 5
American Indian Data is updating Data is updating

Demographics Comparison: Lake butler vs Wapakoneta

  • A higher percentage of Black residents are in Lake butler at 6% compared to 1% in Wapakoneta.
  • The percentage of White residents is higher in Wapakoneta at 89% compared to 53% in Lake butler.
  • The Asian population is larger in Lake butler at 16% compared to 0% in Wapakoneta.
  • The Hispanic community is larger in Lake butler at 12% compared to 5% in Wapakoneta.
  • More residents identify as two or more races in Lake butler at 13% compared to 5% in Wapakoneta.
  • The percentage of American Indian residents is the same in both Lake butler and Wapakoneta at 0%.

Health Statistics

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

Health Metric Lake butler Wapakoneta
Mental Health Not Good 13.0% 18.1%
Physical Health Not Good 7.3% 12.3%
Depression 16.3% 23.8%
Smoking 11.4% 21.3%
Binge Drinking 15.8% 18.8%
Obesity 23.4% 38.8%
Disability Percentage 7.0% 13.0%

Health Statistics Comparison: Lake butler vs Wapakoneta

  • In Wapakoneta, a higher percentage report poor mental health at 18.1% compared to 13.0% in Lake butler.
  • Higher depression rates are seen in Wapakoneta at 23.8% versus 16.3% in Lake butler.
  • Wapakoneta has a higher smoking rate at 21.3% compared to 11.4% in Lake butler.
  • More residents engage in binge drinking in Wapakoneta at 18.8% compared to 15.8% in Lake butler.
  • Wapakoneta has higher obesity rates at 38.8% compared to 23.4% in Lake butler.
  • There is a higher percentage of disabled individuals in Wapakoneta at 13.0% compared to 7.0% in Lake butler.

Education Levels

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

Education Level Lake butler Wapakoneta
No Schooling 0.2% (37) 0.1% (9)
High School Diploma 5.1% (899) 26.9% (2,625)
Less than High School 2.9% (520) 11.8% (1,157)
Bachelor's Degree and Higher 41.2% (7,325) 14.0% (1,364)

Education Levels Comparison: Lake butler vs Wapakoneta

  • A higher percentage of residents in Lake butler have no formal schooling at 0.2% compared to 0.1% in Wapakoneta.
  • In Wapakoneta, the rate of residents with high school diplomas is higher at 26.9% compared to 5.1% in Lake butler.
  • The percentage of residents with less than a high school education is higher in Wapakoneta at 11.8%, compared to 2.9% in Lake butler.
  • A higher percentage of residents in Lake butler hold a bachelor's degree or higher at 41.2% 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.