Demographics details for North manchester, IN vs Southaven, MS

Population Overview

Compare main population characteristics in North manchester, IN vs Southaven, MS.

Data North manchester Southaven
Population 5,247 56,360
Median Age 40.6 years 35.4 years
Median Income $63,029 $72,513
Married Families 34.0% 37.0%
Poverty Level 12% 12%
Unemployment Rate 3.5 3.2

Population Comparison: North manchester vs Southaven

  • The population in Southaven is higher at 56,360, compared to 5,247 in North manchester.
  • Residents in North manchester have a higher median age of 40.6 years compared to 35.4 years in Southaven.
  • Southaven has a higher median income of $72,513, compared to $63,029 in North manchester.
  • In Southaven, the percentage of married families is higher at 37.0%, compared to 34.0% in North manchester.
  • The poverty level is identical in both North manchester and Southaven at 12%.
  • The unemployment rate in North manchester is higher at 3.5%, compared to 3.2% in Southaven.

Demographics

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

Demographic North manchester Southaven
Black 4 35
White 89 55
Asian Data is updating 1
Hispanic 4 5
Two or More Races 3 4
American Indian Data is updating Data is updating

Demographics Comparison: North manchester vs Southaven

  • In Southaven, the percentage of Black residents is higher at 35% compared to 4% in North manchester.
  • North manchester has a higher percentage of White residents at 89% compared to 55% in Southaven.
  • In Southaven, the Asian population stands at 1%, greater than 0% in North manchester.
  • Southaven has a higher percentage of Hispanic residents at 5%, compared to 4% in North manchester.
  • The percentage of residents identifying as two or more races is higher in Southaven at 4%, compared to 3% in North manchester.
  • The percentage of American Indian residents is the same in both North manchester and Southaven at 0%.

Health Statistics

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

Health Metric North manchester Southaven
Mental Health Not Good 17.6% 15.6%
Physical Health Not Good 11.9% 10.9%
Depression 26.7% 22.9%
Smoking 20.1% 16.7%
Binge Drinking 16.8% 14.1%
Obesity 39.2% 39.7%
Disability Percentage 12.0% 10.0%

Health Statistics Comparison: North manchester vs Southaven

  • More residents in North manchester report poor mental health at 17.6% compared to 15.6% in Southaven.
  • Depression is more prevalent in North manchester at 26.7% compared to 22.9% in Southaven.
  • Smoking is more prevalent in North manchester at 20.1% compared to 16.7% in Southaven.
  • Binge drinking is more common in North manchester at 16.8% compared to 14.1% in Southaven.
  • Southaven has higher obesity rates at 39.7% compared to 39.2% in North manchester.
  • Disability percentages are higher in North manchester at 12.0% 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 North manchester Southaven
No Schooling 0.0% (1) 1.2% (658)
High School Diploma 18.6% (975) 15.8% (8,925)
Less than High School 10.0% (524) 8.7% (4,879)
Bachelor's Degree and Higher 16.9% (888) 16.0% (9,035)

Education Levels Comparison: North manchester vs Southaven

  • In Southaven, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in North manchester.
  • A higher percentage of residents in North manchester hold a high school diploma at 18.6% compared to 15.8% in Southaven.
  • More residents in North manchester have less than a high school education at 10.0% compared to 8.7% in Southaven.
  • A higher percentage of residents in North manchester hold a bachelor's degree or higher at 16.9% 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.