Demographics details for Fairfield, CT vs Southaven, MS

Population Overview

Compare main population characteristics in Fairfield, CT vs Southaven, MS.

Data Fairfield Southaven
Population 62,105 56,360
Median Age 42.0 years 35.4 years
Median Income $102,000 $72,513
Married Families Data is updating 37.0%
Poverty Level 5% 12%
Unemployment Rate 2.9 3.2

Population Comparison: Fairfield vs Southaven

  • In Fairfield, the population is higher at 62,105, compared to 56,360 in Southaven.
  • Residents in Fairfield have a higher median age of 42.0 years compared to 35.4 years in Southaven.
  • Fairfield has a higher median income of $102,000 compared to $72,513 in Southaven.
  • In Southaven, the percentage of married families is higher at 37.0%, compared to 0.0% in Fairfield.
  • The poverty level is higher in Southaven at 12%, compared to 5% in Fairfield.
  • Southaven has a higher unemployment rate at 3.2% compared to 2.9% in Fairfield.

Demographics

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

Demographic Fairfield Southaven
Black 5 35
White 80 55
Asian 7 1
Hispanic 8 5
Two or More Races Data is updating 4
American Indian Data is updating Data is updating

Demographics Comparison: Fairfield vs Southaven

  • In Southaven, the percentage of Black residents is higher at 35% compared to 5% in Fairfield.
  • Fairfield has a higher percentage of White residents at 80% compared to 55% in Southaven.
  • The Asian population is larger in Fairfield at 7% compared to 1% in Southaven.
  • The Hispanic community is larger in Fairfield at 8% compared to 5% in Southaven.
  • The percentage of residents identifying as two or more races is higher in Southaven at 4%, compared to 0% in Fairfield.
  • The percentage of American Indian residents is the same in both Fairfield and Southaven at 0%.

Health Statistics

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

Health Metric Fairfield 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: Fairfield vs Southaven

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

Education Levels

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

Education Level Fairfield 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: Fairfield vs Southaven

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

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.