Demographics details for Chapman, KS vs Southington, CT

Population Overview

Compare main population characteristics in Chapman, KS vs Southington, CT.

Data Chapman Southington
Population 1,371 43,807
Median Age 41.4 years Data is updating
Median Income $66,964 $Data is updating
Married Families 33.0% Data is updating
Poverty Level 8% Data is updating
Unemployment Rate 3.1 2.2

Population Comparison: Chapman vs Southington

  • The population in Southington is higher at 43,807, compared to 1,371 in Chapman.
  • Residents in Chapman have a higher median age of 41.4 years compared to 0.0 years in Southington.
  • Chapman has a higher median income of $66,964 compared to $0 in Southington.
  • A higher percentage of married families is found in Chapman at 33.0% compared to 0.0% in Southington.
  • Chapman has a higher poverty level at 8% compared to 0% in Southington.
  • The unemployment rate in Chapman is higher at 3.1%, compared to 2.2% in Southington.

Demographics

Demographics Chapman vs Southington provide insight into the diversity of the communities to compare.

Demographic Chapman Southington
Black Data is updating Data is updating
White 81 100
Asian 3 Data is updating
Hispanic 7 Data is updating
Two or More Races 7 Data is updating
American Indian 2 Data is updating

Demographics Comparison: Chapman vs Southington

  • The percentage of Black residents is the same in both Chapman and Southington at 0%.
  • The percentage of White residents is higher in Southington at 100% compared to 81% in Chapman.
  • The Asian population is larger in Chapman at 3% compared to 0% in Southington.
  • The Hispanic community is larger in Chapman at 7% compared to 0% in Southington.
  • More residents identify as two or more races in Chapman at 7% compared to 0% in Southington.
  • A greater percentage of American Indian residents live in Chapman at 2% compared to 0% in Southington.

Health Statistics

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

Health Metric Chapman Southington
Mental Health Not Good 15.7% Data is updating%
Physical Health Not Good 9.5% Data is updating%
Depression 21.4% Data is updating%
Smoking 16.6% Data is updating%
Binge Drinking 20.2% Data is updating%
Obesity 37.3% Data is updating%
Disability Percentage 14.0% Data is updating%

Health Statistics Comparison: Chapman vs Southington

  • More residents in Chapman report poor mental health at 15.7% compared to 0.0% in Southington.
  • Depression is more prevalent in Chapman at 21.4% compared to 0.0% in Southington.
  • Smoking is more prevalent in Chapman at 16.6% compared to 0.0% in Southington.
  • Binge drinking is more common in Chapman at 20.2% compared to 0.0% in Southington.
  • Obesity rates are higher in Chapman at 37.3% compared to 0.0% in Southington.
  • Disability percentages are higher in Chapman at 14.0% compared to 0.0% in Southington.

Education Levels

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

Education Level Chapman Southington
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 12.3% (168) 0.0% (Data is updating)
Less than High School 5.1% (70) 0.0% (Data is updating)
Bachelor's Degree and Higher 15.5% (212) 0.0% (Data is updating)

Education Levels Comparison: Chapman vs Southington

  • The percentage of residents with no formal schooling is the same in both Chapman and Southington at 0.0%.
  • A higher percentage of residents in Chapman hold a high school diploma at 12.3% compared to 0.0% in Southington.
  • More residents in Chapman have less than a high school education at 5.1% compared to 0.0% in Southington.
  • A higher percentage of residents in Chapman hold a bachelor's degree or higher at 15.5% compared to 0.0% in Southington.

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.