Demographics details for Stevens, PA vs Southaven, MS

Population Overview

Compare main population characteristics in Stevens, PA vs Southaven, MS.

Data Stevens Southaven
Population 612 56,360
Median Age 37.0 years 35.4 years
Median Income $62,000 $72,513
Married Families 60.0% 37.0%
Poverty Level 10% 12%
Unemployment Rate 4.5 3.2

Population Comparison: Stevens vs Southaven

  • The population in Southaven is higher at 56,360, compared to 612 in Stevens.
  • Residents in Stevens have a higher median age of 37.0 years compared to 35.4 years in Southaven.
  • Southaven has a higher median income of $72,513, compared to $62,000 in Stevens.
  • A higher percentage of married families is found in Stevens at 60.0% compared to 37.0% in Southaven.
  • The poverty level is higher in Southaven at 12%, compared to 10% in Stevens.
  • The unemployment rate in Stevens is higher at 4.5%, compared to 3.2% in Southaven.

Demographics

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

Demographic Stevens Southaven
Black 5 35
White 90 55
Asian 2 1
Hispanic 3 5
Two or More Races Data is updating 4
American Indian Data is updating Data is updating

Demographics Comparison: Stevens vs Southaven

  • In Southaven, the percentage of Black residents is higher at 35% compared to 5% in Stevens.
  • Stevens has a higher percentage of White residents at 90% compared to 55% in Southaven.
  • The Asian population is larger in Stevens at 2% compared to 1% in Southaven.
  • Southaven has a higher percentage of Hispanic residents at 5%, compared to 3% in Stevens.
  • The percentage of residents identifying as two or more races is higher in Southaven at 4%, compared to 0% in Stevens.
  • The percentage of American Indian residents is the same in both Stevens and Southaven at 0%.

Health Statistics

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

Health Metric Stevens Southaven
Mental Health Not Good Data is updating% 15.6%
Physical Health Not Good Data is updating% 10.9%
Depression Data is updating% 22.9%
Smoking Data is updating% 16.7%
Binge Drinking Data is updating% 14.1%
Obesity Data is updating% 39.7%
Disability Percentage Data is updating% 10.0%

Health Statistics Comparison: Stevens vs Southaven

  • In Southaven, a higher percentage report poor mental health at 15.6% compared to 0.0% in Stevens.
  • Higher depression rates are seen in Southaven at 22.9% versus 0.0% in Stevens.
  • Southaven has a higher smoking rate at 16.7% compared to 0.0% in Stevens.
  • More residents engage in binge drinking in Southaven at 14.1% compared to 0.0% in Stevens.
  • Southaven has higher obesity rates at 39.7% compared to 0.0% in Stevens.
  • There is a higher percentage of disabled individuals in Southaven at 10.0% compared to 0.0% in Stevens.

Education Levels

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

Education Level Stevens Southaven
No Schooling 0.0% (Data is updating) 1.2% (658)
High School Diploma 0.0% (Data is updating) 15.8% (8,925)
Less than High School 0.0% (Data is updating) 8.7% (4,879)
Bachelor's Degree and Higher 0.0% (Data is updating) 16.0% (9,035)

Education Levels Comparison: Stevens vs Southaven

  • In Southaven, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Stevens.
  • In Southaven, the rate of residents with high school diplomas is higher at 15.8% compared to 0.0% in Stevens.
  • The percentage of residents with less than a high school education is higher in Southaven at 8.7%, compared to 0.0% in Stevens.
  • In Southaven, a larger share of residents have a bachelor's degree or higher at 16.0% compared to 0.0% in Stevens.

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.