Demographics details for Southaven, MS vs Forest city, NC

Population Overview

Compare main population characteristics in Southaven, MS vs Forest city, NC.

Data Southaven Forest city
Population 56,360 7,358
Median Age 35.4 years 32.8 years
Median Income $72,513 $35,232
Married Families 37.0% 21.0%
Poverty Level 12% 11%
Unemployment Rate 3.2 4.5

Population Comparison: Southaven vs Forest city

  • In Southaven, the population is higher at 56,360, compared to 7,358 in Forest city.
  • Residents in Southaven have a higher median age of 35.4 years compared to 32.8 years in Forest city.
  • Southaven has a higher median income of $72,513 compared to $35,232 in Forest city.
  • A higher percentage of married families is found in Southaven at 37.0% compared to 21.0% in Forest city.
  • Southaven has a higher poverty level at 12% compared to 11% in Forest city.
  • Forest city has a higher unemployment rate at 4.5% compared to 3.2% in Southaven.

Demographics

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

Demographic Southaven Forest city
Black 35 28
White 55 57
Asian 1 2
Hispanic 5 8
Two or More Races 4 5
American Indian Data is updating Data is updating

Demographics Comparison: Southaven vs Forest city

  • A higher percentage of Black residents are in Southaven at 35% compared to 28% in Forest city.
  • The percentage of White residents is higher in Forest city at 57% compared to 55% in Southaven.
  • In Forest city, the Asian population stands at 2%, greater than 1% in Southaven.
  • Forest city has a higher percentage of Hispanic residents at 8%, compared to 5% in Southaven.
  • The percentage of residents identifying as two or more races is higher in Forest city at 5%, compared to 4% in Southaven.
  • The percentage of American Indian residents is the same in both Southaven and Forest city at 0%.

Health Statistics

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

Health Metric Southaven Forest city
Mental Health Not Good 15.6% 19.0%
Physical Health Not Good 10.9% 14.4%
Depression 22.9% 24.4%
Smoking 16.7% 22.1%
Binge Drinking 14.1% 15.2%
Obesity 39.7% 41.2%
Disability Percentage 10.0% 23.0%

Health Statistics Comparison: Southaven vs Forest city

  • In Forest city, a higher percentage report poor mental health at 19.0% compared to 15.6% in Southaven.
  • Higher depression rates are seen in Forest city at 24.4% versus 22.9% in Southaven.
  • Forest city has a higher smoking rate at 22.1% compared to 16.7% in Southaven.
  • More residents engage in binge drinking in Forest city at 15.2% compared to 14.1% in Southaven.
  • Forest city has higher obesity rates at 41.2% compared to 39.7% in Southaven.
  • There is a higher percentage of disabled individuals in Forest city at 23.0% compared to 10.0% in Southaven.

Education Levels

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

Education Level Southaven Forest city
No Schooling 1.2% (658) 0.9% (63)
High School Diploma 15.8% (8,925) 15.5% (1,140)
Less than High School 8.7% (4,879) 13.0% (956)
Bachelor's Degree and Higher 16.0% (9,035) 10.7% (785)

Education Levels Comparison: Southaven vs Forest city

  • A higher percentage of residents in Southaven have no formal schooling at 1.2% compared to 0.9% in Forest city.
  • A higher percentage of residents in Southaven hold a high school diploma at 15.8% compared to 15.5% in Forest city.
  • The percentage of residents with less than a high school education is higher in Forest city at 13.0%, compared to 8.7% in Southaven.
  • A higher percentage of residents in Southaven hold a bachelor's degree or higher at 16.0% compared to 10.7% in Forest city.

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.