Demographics details for Marshall, TX vs Southington, CT

Population Overview

Compare main population characteristics in Marshall, TX vs Southington, CT.

Data Marshall Southington
Population 23,641 43,807
Median Age 34.1 years Data is updating
Median Income $49,162 $Data is updating
Married Families 27.0% Data is updating
Poverty Level 17% Data is updating
Unemployment Rate 5.1 2.2

Population Comparison: Marshall vs Southington

  • The population in Southington is higher at 43,807, compared to 23,641 in Marshall.
  • Residents in Marshall have a higher median age of 34.1 years compared to 0.0 years in Southington.
  • Marshall has a higher median income of $49,162 compared to $0 in Southington.
  • A higher percentage of married families is found in Marshall at 27.0% compared to 0.0% in Southington.
  • Marshall has a higher poverty level at 17% compared to 0% in Southington.
  • The unemployment rate in Marshall is higher at 5.1%, compared to 2.2% in Southington.

Demographics

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

Demographic Marshall Southington
Black 40 Data is updating
White 28 100
Asian 1 Data is updating
Hispanic 20 Data is updating
Two or More Races 11 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Marshall vs Southington

  • A higher percentage of Black residents are in Marshall at 40% compared to 0% in Southington.
  • The percentage of White residents is higher in Southington at 100% compared to 28% in Marshall.
  • The Asian population is larger in Marshall at 1% compared to 0% in Southington.
  • The Hispanic community is larger in Marshall at 20% compared to 0% in Southington.
  • More residents identify as two or more races in Marshall at 11% compared to 0% in Southington.
  • The percentage of American Indian residents is the same in both Marshall and Southington at 0%.

Health Statistics

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

Health Metric Marshall Southington
Mental Health Not Good 19.2% Data is updating%
Physical Health Not Good 13.8% Data is updating%
Depression 22.7% Data is updating%
Smoking 21.0% Data is updating%
Binge Drinking 16.2% Data is updating%
Obesity 42.0% Data is updating%
Disability Percentage 17.0% Data is updating%

Health Statistics Comparison: Marshall vs Southington

  • More residents in Marshall report poor mental health at 19.2% compared to 0.0% in Southington.
  • Depression is more prevalent in Marshall at 22.7% compared to 0.0% in Southington.
  • Smoking is more prevalent in Marshall at 21.0% compared to 0.0% in Southington.
  • Binge drinking is more common in Marshall at 16.2% compared to 0.0% in Southington.
  • Obesity rates are higher in Marshall at 42.0% compared to 0.0% in Southington.
  • Disability percentages are higher in Marshall at 17.0% 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 Marshall Southington
No Schooling 0.8% (195) 0.0% (Data is updating)
High School Diploma 18.7% (4,412) 0.0% (Data is updating)
Less than High School 10.7% (2,527) 0.0% (Data is updating)
Bachelor's Degree and Higher 13.2% (3,127) 0.0% (Data is updating)

Education Levels Comparison: Marshall vs Southington

  • A higher percentage of residents in Marshall have no formal schooling at 0.8% compared to 0.0% in Southington.
  • A higher percentage of residents in Marshall hold a high school diploma at 18.7% compared to 0.0% in Southington.
  • More residents in Marshall have less than a high school education at 10.7% compared to 0.0% in Southington.
  • A higher percentage of residents in Marshall hold a bachelor's degree or higher at 13.2% 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.