Demographics details for Maple valley, WA vs Southaven, MS

Population Overview

Compare main population characteristics in Maple valley, WA vs Southaven, MS.

Data Maple valley Southaven
Population 28,220 56,360
Median Age 36.4 years 35.4 years
Median Income $137,595 $72,513
Married Families 47.0% 37.0%
Poverty Level Data is updating 12%
Unemployment Rate 4.7 3.2

Population Comparison: Maple valley vs Southaven

  • The population in Southaven is higher at 56,360, compared to 28,220 in Maple valley.
  • Residents in Maple valley have a higher median age of 36.4 years compared to 35.4 years in Southaven.
  • Maple valley has a higher median income of $137,595 compared to $72,513 in Southaven.
  • A higher percentage of married families is found in Maple valley at 47.0% compared to 37.0% in Southaven.
  • The poverty level is higher in Southaven at 12%, compared to 0% in Maple valley.
  • The unemployment rate in Maple valley is higher at 4.7%, compared to 3.2% in Southaven.

Demographics

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

Demographic Maple valley Southaven
Black 2 35
White 74 55
Asian 11 1
Hispanic 5 5
Two or More Races 8 4
American Indian Data is updating Data is updating

Demographics Comparison: Maple valley vs Southaven

  • In Southaven, the percentage of Black residents is higher at 35% compared to 2% in Maple valley.
  • Maple valley has a higher percentage of White residents at 74% compared to 55% in Southaven.
  • The Asian population is larger in Maple valley at 11% compared to 1% in Southaven.
  • The percentage of Hispanic residents is the same in both Maple valley and Southaven at 5%.
  • More residents identify as two or more races in Maple valley at 8% compared to 4% in Southaven.
  • The percentage of American Indian residents is the same in both Maple valley and Southaven at 0%.

Health Statistics

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

Health Metric Maple valley Southaven
Mental Health Not Good 15.9% 15.6%
Physical Health Not Good 8.6% 10.9%
Depression 25.8% 22.9%
Smoking 9.4% 16.7%
Binge Drinking 19.6% 14.1%
Obesity 24.3% 39.7%
Disability Percentage 7.0% 10.0%

Health Statistics Comparison: Maple valley vs Southaven

  • More residents in Maple valley report poor mental health at 15.9% compared to 15.6% in Southaven.
  • Depression is more prevalent in Maple valley at 25.8% compared to 22.9% in Southaven.
  • Southaven has a higher smoking rate at 16.7% compared to 9.4% in Maple valley.
  • Binge drinking is more common in Maple valley at 19.6% compared to 14.1% in Southaven.
  • Southaven has higher obesity rates at 39.7% compared to 24.3% in Maple valley.
  • There is a higher percentage of disabled individuals in Southaven at 10.0% 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 Maple valley Southaven
No Schooling 0.4% (103) 1.2% (658)
High School Diploma 10.2% (2,878) 15.8% (8,925)
Less than High School 3.1% (879) 8.7% (4,879)
Bachelor's Degree and Higher 28.5% (8,032) 16.0% (9,035)

Education Levels Comparison: Maple valley vs Southaven

  • In Southaven, a larger percentage of residents lack formal schooling at 1.2% compared to 0.4% in Maple valley.
  • In Southaven, the rate of residents with high school diplomas is higher at 15.8% compared to 10.2% in Maple valley.
  • The percentage of residents with less than a high school education is higher in Southaven at 8.7%, compared to 3.1% in Maple valley.
  • A higher percentage of residents in Maple valley hold a bachelor's degree or higher at 28.5% compared to 16.0% in Southaven.

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.