Demographics details for Chalfont, PA vs Southaven, MS

Population Overview

Compare main population characteristics in Chalfont, PA vs Southaven, MS.

Data Chalfont Southaven
Population 4,283 56,360
Median Age 41.7 years 35.4 years
Median Income $118,871 $72,513
Married Families 40.0% 37.0%
Poverty Level 2% 12%
Unemployment Rate 3.4 3.2

Population Comparison: Chalfont vs Southaven

  • The population in Southaven is higher at 56,360, compared to 4,283 in Chalfont.
  • Residents in Chalfont have a higher median age of 41.7 years compared to 35.4 years in Southaven.
  • Chalfont has a higher median income of $118,871 compared to $72,513 in Southaven.
  • A higher percentage of married families is found in Chalfont at 40.0% compared to 37.0% in Southaven.
  • The poverty level is higher in Southaven at 12%, compared to 2% in Chalfont.
  • The unemployment rate in Chalfont is higher at 3.4%, compared to 3.2% in Southaven.

Demographics

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

Demographic Chalfont Southaven
Black Data is updating 35
White 88 55
Asian 4 1
Hispanic 4 5
Two or More Races 4 4
American Indian Data is updating Data is updating

Demographics Comparison: Chalfont vs Southaven

  • In Southaven, the percentage of Black residents is higher at 35% compared to 0% in Chalfont.
  • Chalfont has a higher percentage of White residents at 88% compared to 55% in Southaven.
  • The Asian population is larger in Chalfont at 4% compared to 1% in Southaven.
  • Southaven has a higher percentage of Hispanic residents at 5%, compared to 4% in Chalfont.
  • Both Chalfont and Southaven have the same percentage of residents identifying as two or more races at 4%.
  • The percentage of American Indian residents is the same in both Chalfont and Southaven at 0%.

Health Statistics

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

Health Metric Chalfont Southaven
Mental Health Not Good 13.8% 15.6%
Physical Health Not Good 7.8% 10.9%
Depression 22.1% 22.9%
Smoking 12.6% 16.7%
Binge Drinking 20.5% 14.1%
Obesity 29.5% 39.7%
Disability Percentage 7.0% 10.0%

Health Statistics Comparison: Chalfont vs Southaven

  • In Southaven, a higher percentage report poor mental health at 15.6% compared to 13.8% in Chalfont.
  • Higher depression rates are seen in Southaven at 22.9% versus 22.1% in Chalfont.
  • Southaven has a higher smoking rate at 16.7% compared to 12.6% in Chalfont.
  • Binge drinking is more common in Chalfont at 20.5% compared to 14.1% in Southaven.
  • Southaven has higher obesity rates at 39.7% compared to 29.5% in Chalfont.
  • There is a higher percentage of disabled individuals in Southaven at 10.0% compared to 7.0% in Chalfont.

Education Levels

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

Education Level Chalfont Southaven
No Schooling 0.0% (Data is updating) 1.2% (658)
High School Diploma 11.2% (479) 15.8% (8,925)
Less than High School 2.3% (98) 8.7% (4,879)
Bachelor's Degree and Higher 42.7% (1,830) 16.0% (9,035)

Education Levels Comparison: Chalfont vs Southaven

  • In Southaven, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Chalfont.
  • In Southaven, the rate of residents with high school diplomas is higher at 15.8% compared to 11.2% in Chalfont.
  • The percentage of residents with less than a high school education is higher in Southaven at 8.7%, compared to 2.3% in Chalfont.
  • A higher percentage of residents in Chalfont hold a bachelor's degree or higher at 42.7% 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.