Demographics details for Sioux falls, SD vs Maple valley, WA

Population Overview

Compare main population characteristics in Sioux falls, SD vs Maple valley, WA.

Data Sioux falls Maple valley
Population 202,078 28,220
Median Age 34.9 years 36.4 years
Median Income $71,785 $137,595
Married Families 37.0% 47.0%
Poverty Level 11% Data is updating
Unemployment Rate 2.0 4.7

Population Comparison: Sioux falls vs Maple valley

  • In Sioux falls, the population is higher at 202,078, compared to 28,220 in Maple valley.
  • The median age in Maple valley is higher at 36.4 years, compared to 34.9 years in Sioux falls.
  • Maple valley has a higher median income of $137,595, compared to $71,785 in Sioux falls.
  • In Maple valley, the percentage of married families is higher at 47.0%, compared to 37.0% in Sioux falls.
  • Sioux falls has a higher poverty level at 11% compared to 0% in Maple valley.
  • Maple valley has a higher unemployment rate at 4.7% compared to 2.0% in Sioux falls.

Demographics

Demographics Sioux falls vs Maple valley provide insight into the diversity of the communities to compare.

Demographic Sioux falls Maple valley
Black 7 2
White 78 74
Asian 2 11
Hispanic 5 5
Two or More Races 6 8
American Indian 2 Data is updating

Demographics Comparison: Sioux falls vs Maple valley

  • A higher percentage of Black residents are in Sioux falls at 7% compared to 2% in Maple valley.
  • Sioux falls has a higher percentage of White residents at 78% compared to 74% in Maple valley.
  • In Maple valley, the Asian population stands at 11%, greater than 2% in Sioux falls.
  • The percentage of Hispanic residents is the same in both Sioux falls and Maple valley at 5%.
  • The percentage of residents identifying as two or more races is higher in Maple valley at 8%, compared to 6% in Sioux falls.
  • A greater percentage of American Indian residents live in Sioux falls at 2% compared to 0% in Maple valley.

Health Statistics

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

Health Metric Sioux falls Maple valley
Mental Health Not Good 13.3% 15.9%
Physical Health Not Good 8.8% 8.6%
Depression 19.4% 25.8%
Smoking 16.0% 9.4%
Binge Drinking 21.6% 19.6%
Obesity 35.8% 24.3%
Disability Percentage 9.0% 7.0%

Health Statistics Comparison: Sioux falls vs Maple valley

  • In Maple valley, a higher percentage report poor mental health at 15.9% compared to 13.3% in Sioux falls.
  • Higher depression rates are seen in Maple valley at 25.8% versus 19.4% in Sioux falls.
  • Smoking is more prevalent in Sioux falls at 16.0% compared to 9.4% in Maple valley.
  • Binge drinking is more common in Sioux falls at 21.6% compared to 19.6% in Maple valley.
  • Obesity rates are higher in Sioux falls at 35.8% compared to 24.3% in Maple valley.
  • Disability percentages are higher in Sioux falls at 9.0% compared to 7.0% in Maple valley.

Education Levels

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

Education Level Sioux falls Maple valley
No Schooling 0.8% (1,619) 0.4% (103)
High School Diploma 13.1% (26,548) 10.2% (2,878)
Less than High School 7.3% (14,743) 3.1% (879)
Bachelor's Degree and Higher 23.3% (47,034) 28.5% (8,032)

Education Levels Comparison: Sioux falls vs Maple valley

  • A higher percentage of residents in Sioux falls have no formal schooling at 0.8% compared to 0.4% in Maple valley.
  • A higher percentage of residents in Sioux falls hold a high school diploma at 13.1% compared to 10.2% in Maple valley.
  • More residents in Sioux falls have less than a high school education at 7.3% compared to 3.1% in Maple valley.
  • In Maple valley, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 23.3% in Sioux falls.

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.