Demographics details for Southaven, MS vs Manns choice, PA

Population Overview

Compare main population characteristics in Southaven, MS vs Manns choice, PA.

Data Southaven Manns choice
Population 56,360 312
Median Age 35.4 years 37.1 years
Median Income $72,513 $47,500
Married Families 37.0% 34.0%
Poverty Level 12% Data is updating
Unemployment Rate 3.2 3.2

Population Comparison: Southaven vs Manns choice

  • In Southaven, the population is higher at 56,360, compared to 312 in Manns choice.
  • The median age in Manns choice is higher at 37.1 years, compared to 35.4 years in Southaven.
  • Southaven has a higher median income of $72,513 compared to $47,500 in Manns choice.
  • A higher percentage of married families is found in Southaven at 37.0% compared to 34.0% in Manns choice.
  • Southaven has a higher poverty level at 12% compared to 0% in Manns choice.
  • The unemployment rate is the same in both Southaven and Manns choice at 3.2%.

Demographics

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

Demographic Southaven Manns choice
Black 35 Data is updating
White 55 97
Asian 1 Data is updating
Hispanic 5 Data is updating
Two or More Races 4 3
American Indian Data is updating Data is updating

Demographics Comparison: Southaven vs Manns choice

  • A higher percentage of Black residents are in Southaven at 35% compared to 0% in Manns choice.
  • The percentage of White residents is higher in Manns choice at 97% compared to 55% in Southaven.
  • The Asian population is larger in Southaven at 1% compared to 0% in Manns choice.
  • The Hispanic community is larger in Southaven at 5% compared to 0% in Manns choice.
  • More residents identify as two or more races in Southaven at 4% compared to 3% in Manns choice.
  • The percentage of American Indian residents is the same in both Southaven and Manns choice at 0%.

Health Statistics

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

Health Metric Southaven Manns choice
Mental Health Not Good 15.6% 17.9%
Physical Health Not Good 10.9% 12.2%
Depression 22.9% 24.1%
Smoking 16.7% 21.7%
Binge Drinking 14.1% 18.8%
Obesity 39.7% 36.7%
Disability Percentage 10.0% 8.0%

Health Statistics Comparison: Southaven vs Manns choice

  • In Manns choice, a higher percentage report poor mental health at 17.9% compared to 15.6% in Southaven.
  • Higher depression rates are seen in Manns choice at 24.1% versus 22.9% in Southaven.
  • Manns choice has a higher smoking rate at 21.7% compared to 16.7% in Southaven.
  • More residents engage in binge drinking in Manns choice at 18.8% compared to 14.1% in Southaven.
  • Obesity rates are higher in Southaven at 39.7% compared to 36.7% in Manns choice.
  • Disability percentages are higher in Southaven at 10.0% compared to 8.0% in Manns choice.

Education Levels

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

Education Level Southaven Manns choice
No Schooling 1.2% (658) 1.0% (3)
High School Diploma 15.8% (8,925) 31.4% (98)
Less than High School 8.7% (4,879) 11.5% (36)
Bachelor's Degree and Higher 16.0% (9,035) 1.0% (3)

Education Levels Comparison: Southaven vs Manns choice

  • A higher percentage of residents in Southaven have no formal schooling at 1.2% compared to 1.0% in Manns choice.
  • In Manns choice, the rate of residents with high school diplomas is higher at 31.4% compared to 15.8% in Southaven.
  • The percentage of residents with less than a high school education is higher in Manns choice at 11.5%, 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 1.0% in Manns choice.

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.