Demographics details for South windsor, CT vs Guymon, OK

Population Overview

Compare main population characteristics in South windsor, CT vs Guymon, OK.

Data South windsor Guymon
Population 26,054 12,378
Median Age 42.0 years 30.8 years
Median Income $90,964 $55,526
Married Families 62.0% 32.0%
Poverty Level 5% 11%
Unemployment Rate 2.2 3.5

Population Comparison: South windsor vs Guymon

  • In South windsor, the population is higher at 26,054, compared to 12,378 in Guymon.
  • Residents in South windsor have a higher median age of 42.0 years compared to 30.8 years in Guymon.
  • South windsor has a higher median income of $90,964 compared to $55,526 in Guymon.
  • A higher percentage of married families is found in South windsor at 62.0% compared to 32.0% in Guymon.
  • The poverty level is higher in Guymon at 11%, compared to 5% in South windsor.
  • Guymon has a higher unemployment rate at 3.5% compared to 2.2% in South windsor.

Demographics

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

Demographic South windsor Guymon
Black 9 10
White 85 13
Asian 3 2
Hispanic 3 57
Two or More Races 2 16
American Indian Data is updating 2

Demographics Comparison: South windsor vs Guymon

  • In Guymon, the percentage of Black residents is higher at 10% compared to 9% in South windsor.
  • South windsor has a higher percentage of White residents at 85% compared to 13% in Guymon.
  • The Asian population is larger in South windsor at 3% compared to 2% in Guymon.
  • Guymon has a higher percentage of Hispanic residents at 57%, compared to 3% in South windsor.
  • The percentage of residents identifying as two or more races is higher in Guymon at 16%, compared to 2% in South windsor.
  • In Guymon, the percentage of American Indian residents is higher at 2%, compared to 0% in South windsor.

Health Statistics

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

Health Metric South windsor Guymon
Mental Health Not Good Data is updating% 18.1%
Physical Health Not Good Data is updating% 14.9%
Depression Data is updating% 22.3%
Smoking Data is updating% 20.6%
Binge Drinking Data is updating% 12.8%
Obesity Data is updating% 45.8%
Disability Percentage Data is updating% 10.0%

Health Statistics Comparison: South windsor vs Guymon

  • In Guymon, a higher percentage report poor mental health at 18.1% compared to 0.0% in South windsor.
  • Higher depression rates are seen in Guymon at 22.3% versus 0.0% in South windsor.
  • Guymon has a higher smoking rate at 20.6% compared to 0.0% in South windsor.
  • More residents engage in binge drinking in Guymon at 12.8% compared to 0.0% in South windsor.
  • Guymon has higher obesity rates at 45.8% compared to 0.0% in South windsor.
  • There is a higher percentage of disabled individuals in Guymon 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 Guymon
No Schooling 0.0% (Data is updating) 1.8% (227)
High School Diploma 0.0% (Data is updating) 15.0% (1,853)
Less than High School 0.0% (Data is updating) 35.4% (4,377)
Bachelor's Degree and Higher 0.0% (Data is updating) 12.6% (1,562)

Education Levels Comparison: South windsor vs Guymon

  • In Guymon, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in South windsor.
  • In Guymon, the rate of residents with high school diplomas is higher at 15.0% compared to 0.0% in South windsor.
  • The percentage of residents with less than a high school education is higher in Guymon at 35.4%, compared to 0.0% in South windsor.
  • In Guymon, a larger share of residents have a bachelor's degree or higher at 12.6% 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.