Demographics details for Southaven, MS vs Central square, NY

Population Overview

Compare main population characteristics in Southaven, MS vs Central square, NY.

Data Southaven Central square
Population 56,360 1,852
Median Age 35.4 years 41.0 years
Median Income $72,513 $58,824
Married Families 37.0% 45.0%
Poverty Level 12% 8%
Unemployment Rate 3.2 4.2

Population Comparison: Southaven vs Central square

  • In Southaven, the population is higher at 56,360, compared to 1,852 in Central square.
  • The median age in Central square is higher at 41.0 years, compared to 35.4 years in Southaven.
  • Southaven has a higher median income of $72,513 compared to $58,824 in Central square.
  • In Central square, the percentage of married families is higher at 45.0%, compared to 37.0% in Southaven.
  • Southaven has a higher poverty level at 12% compared to 8% in Central square.
  • Central square has a higher unemployment rate at 4.2% compared to 3.2% in Southaven.

Demographics

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

Demographic Southaven Central square
Black 35 1
White 55 97
Asian 1 Data is updating
Hispanic 5 Data is updating
Two or More Races 4 2
American Indian Data is updating Data is updating

Demographics Comparison: Southaven vs Central square

  • A higher percentage of Black residents are in Southaven at 35% compared to 1% in Central square.
  • The percentage of White residents is higher in Central square at 97% compared to 55% in Southaven.
  • The Asian population is larger in Southaven at 1% compared to 0% in Central square.
  • The Hispanic community is larger in Southaven at 5% compared to 0% in Central square.
  • More residents identify as two or more races in Southaven at 4% compared to 2% in Central square.
  • The percentage of American Indian residents is the same in both Southaven and Central square at 0%.

Health Statistics

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

Health Metric Southaven Central square
Mental Health Not Good 15.6% 17.8%
Physical Health Not Good 10.9% 11.8%
Depression 22.9% 26.8%
Smoking 16.7% 21.2%
Binge Drinking 14.1% 19.3%
Obesity 39.7% 40.3%
Disability Percentage 10.0% 18.0%

Health Statistics Comparison: Southaven vs Central square

  • In Central square, a higher percentage report poor mental health at 17.8% compared to 15.6% in Southaven.
  • Higher depression rates are seen in Central square at 26.8% versus 22.9% in Southaven.
  • Central square has a higher smoking rate at 21.2% compared to 16.7% in Southaven.
  • More residents engage in binge drinking in Central square at 19.3% compared to 14.1% in Southaven.
  • Central square has higher obesity rates at 40.3% compared to 39.7% in Southaven.
  • There is a higher percentage of disabled individuals in Central square at 18.0% 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 Central square
No Schooling 1.2% (658) 0.1% (1)
High School Diploma 15.8% (8,925) 14.2% (263)
Less than High School 8.7% (4,879) 11.0% (204)
Bachelor's Degree and Higher 16.0% (9,035) 19.2% (356)

Education Levels Comparison: Southaven vs Central square

  • A higher percentage of residents in Southaven have no formal schooling at 1.2% compared to 0.1% in Central square.
  • A higher percentage of residents in Southaven hold a high school diploma at 15.8% compared to 14.2% in Central square.
  • The percentage of residents with less than a high school education is higher in Central square at 11.0%, compared to 8.7% in Southaven.
  • In Central square, a larger share of residents have a bachelor's degree or higher at 19.2% 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.