Demographics details for Spokane valley, WA vs Marietta, OK

Population Overview

Compare main population characteristics in Spokane valley, WA vs Marietta, OK.

Data Spokane valley Marietta
Population 107,325 2,832
Median Age 37.4 years 29.6 years
Median Income $66,483 $48,098
Married Families 37.0% 30.0%
Poverty Level 10% Data is updating
Unemployment Rate 4.1 3.5

Population Comparison: Spokane valley vs Marietta

  • In Spokane valley, the population is higher at 107,325, compared to 2,832 in Marietta.
  • Residents in Spokane valley have a higher median age of 37.4 years compared to 29.6 years in Marietta.
  • Spokane valley has a higher median income of $66,483 compared to $48,098 in Marietta.
  • A higher percentage of married families is found in Spokane valley at 37.0% compared to 30.0% in Marietta.
  • Spokane valley has a higher poverty level at 10% compared to 0% in Marietta.
  • The unemployment rate in Spokane valley is higher at 4.1%, compared to 3.5% in Marietta.

Demographics

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

Demographic Spokane valley Marietta
Black 1 4
White 82 37
Asian 2 Data is updating
Hispanic 7 38
Two or More Races 7 17
American Indian 1 4

Demographics Comparison: Spokane valley vs Marietta

  • In Marietta, the percentage of Black residents is higher at 4% compared to 1% in Spokane valley.
  • Spokane valley has a higher percentage of White residents at 82% compared to 37% in Marietta.
  • The Asian population is larger in Spokane valley at 2% compared to 0% in Marietta.
  • Marietta has a higher percentage of Hispanic residents at 38%, compared to 7% in Spokane valley.
  • The percentage of residents identifying as two or more races is higher in Marietta at 17%, compared to 7% in Spokane valley.
  • In Marietta, the percentage of American Indian residents is higher at 4%, compared to 1% in Spokane valley.

Health Statistics

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

Health Metric Spokane valley Marietta
Mental Health Not Good 18.3% 21.1%
Physical Health Not Good 11.5% 16.4%
Depression 28.7% 26.8%
Smoking 15.3% 25.1%
Binge Drinking 18.5% 13.0%
Obesity 29.7% 44.8%
Disability Percentage 16.0% 15.0%

Health Statistics Comparison: Spokane valley vs Marietta

  • In Marietta, a higher percentage report poor mental health at 21.1% compared to 18.3% in Spokane valley.
  • Depression is more prevalent in Spokane valley at 28.7% compared to 26.8% in Marietta.
  • Marietta has a higher smoking rate at 25.1% compared to 15.3% in Spokane valley.
  • Binge drinking is more common in Spokane valley at 18.5% compared to 13.0% in Marietta.
  • Marietta has higher obesity rates at 44.8% compared to 29.7% in Spokane valley.
  • Disability percentages are higher in Spokane valley at 16.0% compared to 15.0% in Marietta.

Education Levels

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

Education Level Spokane valley Marietta
No Schooling 0.6% (596) 1.6% (44)
High School Diploma 15.6% (16,779) 18.3% (517)
Less than High School 7.2% (7,741) 31.9% (902)
Bachelor's Degree and Higher 17.1% (18,346) 5.1% (144)

Education Levels Comparison: Spokane valley vs Marietta

  • In Marietta, a larger percentage of residents lack formal schooling at 1.6% compared to 0.6% in Spokane valley.
  • In Marietta, the rate of residents with high school diplomas is higher at 18.3% compared to 15.6% in Spokane valley.
  • The percentage of residents with less than a high school education is higher in Marietta at 31.9%, compared to 7.2% in Spokane valley.
  • A higher percentage of residents in Spokane valley hold a bachelor's degree or higher at 17.1% compared to 5.1% in Marietta.

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.