Demographics details for Southington, CT vs Moberly, MO

Population Overview

Compare main population characteristics in Southington, CT vs Moberly, MO.

Data Southington Moberly
Population 43,807 13,774
Median Age Data is updating 37.5 years
Median Income $Data is updating $39,332
Married Families Data is updating 27.0%
Poverty Level Data is updating 13%
Unemployment Rate 2.2 4.2

Population Comparison: Southington vs Moberly

  • In Southington, the population is higher at 43,807, compared to 13,774 in Moberly.
  • The median age in Moberly is higher at 37.5 years, compared to 0.0 years in Southington.
  • Moberly has a higher median income of $39,332, compared to $0 in Southington.
  • In Moberly, the percentage of married families is higher at 27.0%, compared to 0.0% in Southington.
  • The poverty level is higher in Moberly at 13%, compared to 0% in Southington.
  • Moberly has a higher unemployment rate at 4.2% compared to 2.2% in Southington.

Demographics

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

Demographic Southington Moberly
Black Data is updating 9
White 100 81
Asian Data is updating 1
Hispanic Data is updating 3
Two or More Races Data is updating 6
American Indian Data is updating Data is updating

Demographics Comparison: Southington vs Moberly

  • In Moberly, the percentage of Black residents is higher at 9% compared to 0% in Southington.
  • Southington has a higher percentage of White residents at 100% compared to 81% in Moberly.
  • In Moberly, the Asian population stands at 1%, greater than 0% in Southington.
  • Moberly has a higher percentage of Hispanic residents at 3%, compared to 0% in Southington.
  • The percentage of residents identifying as two or more races is higher in Moberly at 6%, compared to 0% in Southington.
  • The percentage of American Indian residents is the same in both Southington and Moberly at 0%.

Health Statistics

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

Health Metric Southington Moberly
Mental Health Not Good Data is updating% 19.5%
Physical Health Not Good Data is updating% 14.9%
Depression Data is updating% 26.1%
Smoking Data is updating% 24.6%
Binge Drinking Data is updating% 16.6%
Obesity Data is updating% 44.1%
Disability Percentage Data is updating% 15.0%

Health Statistics Comparison: Southington vs Moberly

  • In Moberly, a higher percentage report poor mental health at 19.5% compared to 0.0% in Southington.
  • Higher depression rates are seen in Moberly at 26.1% versus 0.0% in Southington.
  • Moberly has a higher smoking rate at 24.6% compared to 0.0% in Southington.
  • More residents engage in binge drinking in Moberly at 16.6% compared to 0.0% in Southington.
  • Moberly has higher obesity rates at 44.1% compared to 0.0% in Southington.
  • There is a higher percentage of disabled individuals in Moberly at 15.0% 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 Southington Moberly
No Schooling 0.0% (Data is updating) 1.0% (132)
High School Diploma 0.0% (Data is updating) 22.9% (3,149)
Less than High School 0.0% (Data is updating) 14.7% (2,021)
Bachelor's Degree and Higher 0.0% (Data is updating) 11.0% (1,514)

Education Levels Comparison: Southington vs Moberly

  • In Moberly, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Southington.
  • In Moberly, the rate of residents with high school diplomas is higher at 22.9% compared to 0.0% in Southington.
  • The percentage of residents with less than a high school education is higher in Moberly at 14.7%, compared to 0.0% in Southington.
  • In Moberly, a larger share of residents have a bachelor's degree or higher at 11.0% 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.