Demographics details for Frametown, WV vs Southaven, MS

Population Overview

Compare main population characteristics in Frametown, WV vs Southaven, MS.

Data Frametown Southaven
Population 200 56,360
Median Age 35.0 years 35.4 years
Median Income $50,000 $72,513
Married Families 50.0% 37.0%
Poverty Level 15% 12%
Unemployment Rate 5.0 3.2

Population Comparison: Frametown vs Southaven

  • The population in Southaven is higher at 56,360, compared to 200 in Frametown.
  • The median age in Southaven is higher at 35.4 years, compared to 35.0 years in Frametown.
  • Southaven has a higher median income of $72,513, compared to $50,000 in Frametown.
  • A higher percentage of married families is found in Frametown at 50.0% compared to 37.0% in Southaven.
  • Frametown has a higher poverty level at 15% compared to 12% in Southaven.
  • The unemployment rate in Frametown is higher at 5.0%, compared to 3.2% in Southaven.

Demographics

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

Demographic Frametown Southaven
Black Data is updating 35
White 95 55
Asian Data is updating 1
Hispanic 3 5
Two or More Races 2 4
American Indian Data is updating Data is updating

Demographics Comparison: Frametown vs Southaven

  • In Southaven, the percentage of Black residents is higher at 35% compared to 0% in Frametown.
  • Frametown has a higher percentage of White residents at 95% compared to 55% in Southaven.
  • In Southaven, the Asian population stands at 1%, greater than 0% in Frametown.
  • Southaven has a higher percentage of Hispanic residents at 5%, compared to 3% in Frametown.
  • The percentage of residents identifying as two or more races is higher in Southaven at 4%, compared to 2% in Frametown.
  • The percentage of American Indian residents is the same in both Frametown and Southaven at 0%.

Health Statistics

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

Health Metric Frametown 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: Frametown vs Southaven

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

Education Levels

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

Education Level Frametown 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: Frametown vs Southaven

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

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.