Demographics details for Glen arm, MD vs Southington, CT

Population Overview

Compare main population characteristics in Glen arm, MD vs Southington, CT.

Data Glen arm Southington
Population 1,952 43,807
Median Age 42.0 years Data is updating
Median Income $114,000 $Data is updating
Married Families 500.0% Data is updating
Poverty Level 2% Data is updating
Unemployment Rate 3.5 2.2

Population Comparison: Glen arm vs Southington

  • The population in Southington is higher at 43,807, compared to 1,952 in Glen arm.
  • Residents in Glen arm have a higher median age of 42.0 years compared to 0.0 years in Southington.
  • Glen arm has a higher median income of $114,000 compared to $0 in Southington.
  • A higher percentage of married families is found in Glen arm at 500.0% compared to 0.0% in Southington.
  • Glen arm has a higher poverty level at 2% compared to 0% in Southington.
  • The unemployment rate in Glen arm is higher at 3.5%, compared to 2.2% in Southington.

Demographics

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

Demographic Glen arm Southington
Black 10 Data is updating
White 80 100
Asian 5 Data is updating
Hispanic 3 Data is updating
Two or More Races 2 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Glen arm vs Southington

  • A higher percentage of Black residents are in Glen arm at 10% compared to 0% in Southington.
  • The percentage of White residents is higher in Southington at 100% compared to 80% in Glen arm.
  • The Asian population is larger in Glen arm at 5% compared to 0% in Southington.
  • The Hispanic community is larger in Glen arm at 3% compared to 0% in Southington.
  • More residents identify as two or more races in Glen arm at 2% compared to 0% in Southington.
  • The percentage of American Indian residents is the same in both Glen arm and Southington at 0%.

Health Statistics

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

Health Metric Glen arm Southington
Mental Health Not Good Data is updating% Data is updating%
Physical Health Not Good Data is updating% Data is updating%
Depression Data is updating% Data is updating%
Smoking Data is updating% Data is updating%
Binge Drinking Data is updating% Data is updating%
Obesity Data is updating% Data is updating%
Disability Percentage Data is updating% Data is updating%

Health Statistics Comparison: Glen arm vs Southington

  • Poor mental health levels are equal in both Glen arm and Southington at 0.0%.
  • Both cities have comparable depression rates at 0.0%.
  • Smoking rates are the same in both Glen arm and Southington at 0.0%.
  • Binge drinking rates are similar in both Glen arm and Southington at 0.0%.
  • Both cities have the same obesity rates at 0.0%.
  • Disability percentages are the same in both Glen arm and Southington at 0.0%.

Education Levels

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

Education Level Glen arm Southington
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 0.0% (Data is updating) 0.0% (Data is updating)
Less than High School 0.0% (Data is updating) 0.0% (Data is updating)
Bachelor's Degree and Higher 0.0% (Data is updating) 0.0% (Data is updating)

Education Levels Comparison: Glen arm vs Southington

  • The percentage of residents with no formal schooling is the same in both Glen arm and Southington at 0.0%.
  • Both cities have the same percentage of residents with high school diplomas at 0.0%.
  • Both cities report the same percentage of residents with less than a high school education at 0.0%.
  • The percentage of residents with a bachelor's degree or higher is identical in both Glen arm and Southington at 0.0%.

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.