Demographics details for South windsor, CT vs Bryant, SD

Population Overview

Compare main population characteristics in South windsor, CT vs Bryant, SD.

Data South windsor Bryant
Population 26,054 473
Median Age 42.0 years 22.8 years
Median Income $90,964 $58,558
Married Families 62.0% 56.0%
Poverty Level 5% 10%
Unemployment Rate 2.2 2.5

Population Comparison: South windsor vs Bryant

  • In South windsor, the population is higher at 26,054, compared to 473 in Bryant.
  • Residents in South windsor have a higher median age of 42.0 years compared to 22.8 years in Bryant.
  • South windsor has a higher median income of $90,964 compared to $58,558 in Bryant.
  • A higher percentage of married families is found in South windsor at 62.0% compared to 56.0% in Bryant.
  • The poverty level is higher in Bryant at 10%, compared to 5% in South windsor.
  • Bryant has a higher unemployment rate at 2.5% compared to 2.2% in South windsor.

Demographics

Demographics South windsor vs Bryant provide insight into the diversity of the communities to compare.

Demographic South windsor Bryant
Black 9 Data is updating
White 85 89
Asian 3 Data is updating
Hispanic 3 11
Two or More Races 2 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: South windsor vs Bryant

  • A higher percentage of Black residents are in South windsor at 9% compared to 0% in Bryant.
  • The percentage of White residents is higher in Bryant at 89% compared to 85% in South windsor.
  • The Asian population is larger in South windsor at 3% compared to 0% in Bryant.
  • Bryant has a higher percentage of Hispanic residents at 11%, compared to 3% in South windsor.
  • More residents identify as two or more races in South windsor at 2% compared to 0% in Bryant.
  • The percentage of American Indian residents is the same in both South windsor and Bryant at 0%.

Health Statistics

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

Health Metric South windsor Bryant
Mental Health Not Good Data is updating% 13.2%
Physical Health Not Good Data is updating% 9.0%
Depression Data is updating% 18.0%
Smoking Data is updating% 17.5%
Binge Drinking Data is updating% 20.1%
Obesity Data is updating% 36.6%
Disability Percentage Data is updating% 10.0%

Health Statistics Comparison: South windsor vs Bryant

  • In Bryant, a higher percentage report poor mental health at 13.2% compared to 0.0% in South windsor.
  • Higher depression rates are seen in Bryant at 18.0% versus 0.0% in South windsor.
  • Bryant has a higher smoking rate at 17.5% compared to 0.0% in South windsor.
  • More residents engage in binge drinking in Bryant at 20.1% compared to 0.0% in South windsor.
  • Bryant has higher obesity rates at 36.6% compared to 0.0% in South windsor.
  • There is a higher percentage of disabled individuals in Bryant at 10.0% compared to 0.0% in South windsor.

Education Levels

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

Education Level South windsor Bryant
No Schooling 0.0% (Data is updating) 3.4% (16)
High School Diploma 0.0% (Data is updating) 32.8% (155)
Less than High School 0.0% (Data is updating) 33.0% (156)
Bachelor's Degree and Higher 0.0% (Data is updating) 6.1% (29)

Education Levels Comparison: South windsor vs Bryant

  • In Bryant, a larger percentage of residents lack formal schooling at 3.4% compared to 0.0% in South windsor.
  • In Bryant, the rate of residents with high school diplomas is higher at 32.8% compared to 0.0% in South windsor.
  • The percentage of residents with less than a high school education is higher in Bryant at 33.0%, compared to 0.0% in South windsor.
  • In Bryant, a larger share of residents have a bachelor's degree or higher at 6.1% compared to 0.0% in South windsor.

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.