Demographics details for Spokane valley, WA vs League city, TX

Population Overview

Compare main population characteristics in Spokane valley, WA vs League city, TX.

Data Spokane valley League city
Population 107,325 115,418
Median Age 37.4 years 37.1 years
Median Income $66,483 $117,316
Married Families 37.0% 48.0%
Poverty Level 10% 6%
Unemployment Rate 4.1 3.8

Population Comparison: Spokane valley vs League city

  • The population in League city is higher at 115,418, compared to 107,325 in Spokane valley.
  • Residents in Spokane valley have a higher median age of 37.4 years compared to 37.1 years in League city.
  • League city has a higher median income of $117,316, compared to $66,483 in Spokane valley.
  • In League city, the percentage of married families is higher at 48.0%, compared to 37.0% in Spokane valley.
  • Spokane valley has a higher poverty level at 10% compared to 6% in League city.
  • The unemployment rate in Spokane valley is higher at 4.1%, compared to 3.8% in League city.

Demographics

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

Demographic Spokane valley League city
Black 1 8
White 82 57
Asian 2 6
Hispanic 7 19
Two or More Races 7 10
American Indian 1 Data is updating

Demographics Comparison: Spokane valley vs League city

  • In League city, the percentage of Black residents is higher at 8% compared to 1% in Spokane valley.
  • Spokane valley has a higher percentage of White residents at 82% compared to 57% in League city.
  • In League city, the Asian population stands at 6%, greater than 2% in Spokane valley.
  • League city has a higher percentage of Hispanic residents at 19%, compared to 7% in Spokane valley.
  • The percentage of residents identifying as two or more races is higher in League city at 10%, compared to 7% in Spokane valley.
  • A greater percentage of American Indian residents live in Spokane valley at 1% compared to 0% in League city.

Health Statistics

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

Health Metric Spokane valley League city
Mental Health Not Good 18.3% 14.1%
Physical Health Not Good 11.5% 8.6%
Depression 28.7% 21.0%
Smoking 15.3% 11.2%
Binge Drinking 18.5% 19.5%
Obesity 29.7% 30.4%
Disability Percentage 16.0% 9.0%

Health Statistics Comparison: Spokane valley vs League city

  • More residents in Spokane valley report poor mental health at 18.3% compared to 14.1% in League city.
  • Depression is more prevalent in Spokane valley at 28.7% compared to 21.0% in League city.
  • Smoking is more prevalent in Spokane valley at 15.3% compared to 11.2% in League city.
  • More residents engage in binge drinking in League city at 19.5% compared to 18.5% in Spokane valley.
  • League city has higher obesity rates at 30.4% compared to 29.7% in Spokane valley.
  • Disability percentages are higher in Spokane valley at 16.0% compared to 9.0% in League city.

Education Levels

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

Education Level Spokane valley League city
No Schooling 0.6% (596) 0.5% (597)
High School Diploma 15.6% (16,779) 8.9% (10,242)
Less than High School 7.2% (7,741) 4.9% (5,692)
Bachelor's Degree and Higher 17.1% (18,346) 31.5% (36,360)

Education Levels Comparison: Spokane valley vs League city

  • A higher percentage of residents in Spokane valley have no formal schooling at 0.6% compared to 0.5% in League city.
  • A higher percentage of residents in Spokane valley hold a high school diploma at 15.6% compared to 8.9% in League city.
  • More residents in Spokane valley have less than a high school education at 7.2% compared to 4.9% in League city.
  • In League city, a larger share of residents have a bachelor's degree or higher at 31.5% compared to 17.1% in Spokane valley.

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.