Demographics details for Wilmington, OH vs Spokane valley, WA

Population Overview

Compare main population characteristics in Wilmington, OH vs Spokane valley, WA.

Data Wilmington Spokane valley
Population 12,656 107,325
Median Age 36.5 years 37.4 years
Median Income $48,407 $66,483
Married Families 31.0% 37.0%
Poverty Level 12% 10%
Unemployment Rate 5.2 4.1

Population Comparison: Wilmington vs Spokane valley

  • The population in Spokane valley is higher at 107,325, compared to 12,656 in Wilmington.
  • The median age in Spokane valley is higher at 37.4 years, compared to 36.5 years in Wilmington.
  • Spokane valley has a higher median income of $66,483, compared to $48,407 in Wilmington.
  • In Spokane valley, the percentage of married families is higher at 37.0%, compared to 31.0% in Wilmington.
  • Wilmington has a higher poverty level at 12% compared to 10% in Spokane valley.
  • The unemployment rate in Wilmington is higher at 5.2%, compared to 4.1% in Spokane valley.

Demographics

Demographics Wilmington vs Spokane valley provide insight into the diversity of the communities to compare.

Demographic Wilmington Spokane valley
Black 5 1
White 85 82
Asian 2 2
Hispanic 3 7
Two or More Races 5 7
American Indian Data is updating 1

Demographics Comparison: Wilmington vs Spokane valley

  • A higher percentage of Black residents are in Wilmington at 5% compared to 1% in Spokane valley.
  • Wilmington has a higher percentage of White residents at 85% compared to 82% in Spokane valley.
  • Both Wilmington and Spokane valley have the same percentage of Asian residents at 2%.
  • Spokane valley has a higher percentage of Hispanic residents at 7%, compared to 3% in Wilmington.
  • The percentage of residents identifying as two or more races is higher in Spokane valley at 7%, compared to 5% in Wilmington.
  • In Spokane valley, the percentage of American Indian residents is higher at 1%, compared to 0% in Wilmington.

Health Statistics

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

Health Metric Wilmington Spokane valley
Mental Health Not Good 19.1% 18.3%
Physical Health Not Good 13.1% 11.5%
Depression 25.1% 28.7%
Smoking 22.9% 15.3%
Binge Drinking 16.7% 18.5%
Obesity 43.0% 29.7%
Disability Percentage 19.0% 16.0%

Health Statistics Comparison: Wilmington vs Spokane valley

  • More residents in Wilmington report poor mental health at 19.1% compared to 18.3% in Spokane valley.
  • Higher depression rates are seen in Spokane valley at 28.7% versus 25.1% in Wilmington.
  • Smoking is more prevalent in Wilmington at 22.9% compared to 15.3% in Spokane valley.
  • More residents engage in binge drinking in Spokane valley at 18.5% compared to 16.7% in Wilmington.
  • Obesity rates are higher in Wilmington at 43.0% compared to 29.7% in Spokane valley.
  • Disability percentages are higher in Wilmington at 19.0% compared to 16.0% in Spokane valley.

Education Levels

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

Education Level Wilmington Spokane valley
No Schooling 1.4% (171) 0.6% (596)
High School Diploma 21.3% (2,702) 15.6% (16,779)
Less than High School 11.0% (1,394) 7.2% (7,741)
Bachelor's Degree and Higher 13.9% (1,753) 17.1% (18,346)

Education Levels Comparison: Wilmington vs Spokane valley

  • A higher percentage of residents in Wilmington have no formal schooling at 1.4% compared to 0.6% in Spokane valley.
  • A higher percentage of residents in Wilmington hold a high school diploma at 21.3% compared to 15.6% in Spokane valley.
  • More residents in Wilmington have less than a high school education at 11.0% compared to 7.2% in Spokane valley.
  • In Spokane valley, a larger share of residents have a bachelor's degree or higher at 17.1% compared to 13.9% in Wilmington.

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.