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Demographics details for Waynesfield, OH vs Klickitat, WA

Population Overview

Compare main population characteristics in Waynesfield, OH vs Klickitat, WA.

Data Waynesfield Klickitat
Population 736 23,271
Median Age 35.4 years 47.0 years
Median Income $63,750 $66,581
Married Families 36.0% 45.0%
Poverty Level Data is updating 8%
Unemployment Rate 4.5 4.7

Population Comparison: Waynesfield vs Klickitat

  • The population in Klickitat is higher at 23,271, compared to 736 in Waynesfield.
  • The median age in Klickitat is higher at 47.0 years, compared to 35.4 years in Waynesfield.
  • Klickitat has a higher median income of $66,581, compared to $63,750 in Waynesfield.
  • In Klickitat, the percentage of married families is higher at 45.0%, compared to 36.0% in Waynesfield.
  • The poverty level is higher in Klickitat at 8%, compared to 0% in Waynesfield.
  • Klickitat has a higher unemployment rate at 4.7% compared to 4.5% in Waynesfield.

Demographics

Demographics Waynesfield vs Klickitat provide insight into the diversity of the communities to compare.

Demographic Waynesfield Klickitat
Black 1 1
White 91 77
Asian Data is updating 1
Hispanic 3 12
Two or More Races 5 8
American Indian Data is updating 1

Demographics Comparison: Waynesfield vs Klickitat

  • The percentage of Black residents is the same in both Waynesfield and Klickitat at 1%.
  • Waynesfield has a higher percentage of White residents at 91% compared to 77% in Klickitat.
  • In Klickitat, the Asian population stands at 1%, greater than 0% in Waynesfield.
  • Klickitat has a higher percentage of Hispanic residents at 12%, compared to 3% in Waynesfield.
  • The percentage of residents identifying as two or more races is higher in Klickitat at 8%, compared to 5% in Waynesfield.
  • In Klickitat, the percentage of American Indian residents is higher at 1%, compared to 0% in Waynesfield.

Health Statistics

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

Health Metric Waynesfield Klickitat
Mental Health Not Good 17.3% 17.6%
Physical Health Not Good 11.4% 11.7%
Depression 23.2% 25.6%
Smoking 19.6% 15.5%
Binge Drinking 19.3% 18.7%
Obesity 37.4% 30.7%
Disability Percentage 7.0% 15.0%

Health Statistics Comparison: Waynesfield vs Klickitat

  • In Klickitat, a higher percentage report poor mental health at 17.6% compared to 17.3% in Waynesfield.
  • Higher depression rates are seen in Klickitat at 25.6% versus 23.2% in Waynesfield.
  • Smoking is more prevalent in Waynesfield at 19.6% compared to 15.5% in Klickitat.
  • Binge drinking is more common in Waynesfield at 19.3% compared to 18.7% in Klickitat.
  • Obesity rates are higher in Waynesfield at 37.4% compared to 30.7% in Klickitat.
  • There is a higher percentage of disabled individuals in Klickitat at 15.0% compared to 7.0% in Waynesfield.

Education Levels

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

Education Level Waynesfield Klickitat
No Schooling 1.8% (13) 1.0% (223)
High School Diploma 24.3% (179) 16.1% (3,753)
Less than High School 9.8% (72) 15.2% (3,532)
Bachelor's Degree and Higher 10.2% (75) 22.7% (5,271)

Education Levels Comparison: Waynesfield vs Klickitat

  • A higher percentage of residents in Waynesfield have no formal schooling at 1.8% compared to 1.0% in Klickitat.
  • A higher percentage of residents in Waynesfield hold a high school diploma at 24.3% compared to 16.1% in Klickitat.
  • The percentage of residents with less than a high school education is higher in Klickitat at 15.2%, compared to 9.8% in Waynesfield.
  • In Klickitat, a larger share of residents have a bachelor's degree or higher at 22.7% compared to 10.2% in Waynesfield.

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.