Demographics details for Mercer, WI vs Spokane valley, WA

Population Overview

Compare main population characteristics in Mercer, WI vs Spokane valley, WA.

Data Mercer Spokane valley
Population 1,732 107,325
Median Age 55.0 years 37.4 years
Median Income $50,000 $66,483
Married Families 35.0% 37.0%
Poverty Level 10% 10%
Unemployment Rate 5.0 4.1

Population Comparison: Mercer vs Spokane valley

  • The population in Spokane valley is higher at 107,325, compared to 1,732 in Mercer.
  • Residents in Mercer have a higher median age of 55.0 years compared to 37.4 years in Spokane valley.
  • Spokane valley has a higher median income of $66,483, compared to $50,000 in Mercer.
  • In Spokane valley, the percentage of married families is higher at 37.0%, compared to 35.0% in Mercer.
  • The poverty level is identical in both Mercer and Spokane valley at 10%.
  • The unemployment rate in Mercer is higher at 5.0%, compared to 4.1% in Spokane valley.

Demographics

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

Demographic Mercer Spokane valley
Black Data is updating 1
White 97 82
Asian 1 2
Hispanic 1 7
Two or More Races 1 7
American Indian Data is updating 1

Demographics Comparison: Mercer vs Spokane valley

  • In Spokane valley, the percentage of Black residents is higher at 1% compared to 0% in Mercer.
  • Mercer has a higher percentage of White residents at 97% compared to 82% in Spokane valley.
  • In Spokane valley, the Asian population stands at 2%, greater than 1% in Mercer.
  • Spokane valley has a higher percentage of Hispanic residents at 7%, compared to 1% in Mercer.
  • The percentage of residents identifying as two or more races is higher in Spokane valley at 7%, compared to 1% in Mercer.
  • In Spokane valley, the percentage of American Indian residents is higher at 1%, compared to 0% in Mercer.

Health Statistics

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

Health Metric Mercer Spokane valley
Mental Health Not Good Data is updating% 18.3%
Physical Health Not Good Data is updating% 11.5%
Depression Data is updating% 28.7%
Smoking Data is updating% 15.3%
Binge Drinking Data is updating% 18.5%
Obesity Data is updating% 29.7%
Disability Percentage Data is updating% 16.0%

Health Statistics Comparison: Mercer vs Spokane valley

  • In Spokane valley, a higher percentage report poor mental health at 18.3% compared to 0.0% in Mercer.
  • Higher depression rates are seen in Spokane valley at 28.7% versus 0.0% in Mercer.
  • Spokane valley has a higher smoking rate at 15.3% compared to 0.0% in Mercer.
  • More residents engage in binge drinking in Spokane valley at 18.5% compared to 0.0% in Mercer.
  • Spokane valley has higher obesity rates at 29.7% compared to 0.0% in Mercer.
  • There is a higher percentage of disabled individuals in Spokane valley at 16.0% compared to 0.0% in Mercer.

Education Levels

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

Education Level Mercer Spokane valley
No Schooling 0.0% (Data is updating) 0.6% (596)
High School Diploma 0.0% (Data is updating) 15.6% (16,779)
Less than High School 0.0% (Data is updating) 7.2% (7,741)
Bachelor's Degree and Higher 0.0% (Data is updating) 17.1% (18,346)

Education Levels Comparison: Mercer vs Spokane valley

  • In Spokane valley, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Mercer.
  • In Spokane valley, the rate of residents with high school diplomas is higher at 15.6% compared to 0.0% in Mercer.
  • The percentage of residents with less than a high school education is higher in Spokane valley at 7.2%, compared to 0.0% in Mercer.
  • In Spokane valley, a larger share of residents have a bachelor's degree or higher at 17.1% compared to 0.0% in Mercer.

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.