Demographics details for White springs, FL vs Guymon, OK

Population Overview

Compare main population characteristics in White springs, FL vs Guymon, OK.

Data White springs Guymon
Population 746 12,378
Median Age 33.5 years 30.8 years
Median Income $38,631 $55,526
Married Families 41.0% 32.0%
Poverty Level 16% 11%
Unemployment Rate 4.3 3.5

Population Comparison: White springs vs Guymon

  • The population in Guymon is higher at 12,378, compared to 746 in White springs.
  • Residents in White springs have a higher median age of 33.5 years compared to 30.8 years in Guymon.
  • Guymon has a higher median income of $55,526, compared to $38,631 in White springs.
  • A higher percentage of married families is found in White springs at 41.0% compared to 32.0% in Guymon.
  • White springs has a higher poverty level at 16% compared to 11% in Guymon.
  • The unemployment rate in White springs is higher at 4.3%, compared to 3.5% in Guymon.

Demographics

Demographics White springs vs Guymon provide insight into the diversity of the communities to compare.

Demographic White springs Guymon
Black 66 10
White 33 13
Asian Data is updating 2
Hispanic Data is updating 57
Two or More Races 1 16
American Indian Data is updating 2

Demographics Comparison: White springs vs Guymon

  • A higher percentage of Black residents are in White springs at 66% compared to 10% in Guymon.
  • White springs has a higher percentage of White residents at 33% compared to 13% in Guymon.
  • In Guymon, the Asian population stands at 2%, greater than 0% in White springs.
  • Guymon has a higher percentage of Hispanic residents at 57%, compared to 0% in White springs.
  • The percentage of residents identifying as two or more races is higher in Guymon at 16%, compared to 1% in White springs.
  • In Guymon, the percentage of American Indian residents is higher at 2%, compared to 0% in White springs.

Health Statistics

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

Health Metric White springs Guymon
Mental Health Not Good 18.1% 18.1%
Physical Health Not Good 13.4% 14.9%
Depression 19.4% 22.3%
Smoking 26.4% 20.6%
Binge Drinking 13.7% 12.8%
Obesity 37.4% 45.8%
Disability Percentage 24.0% 10.0%

Health Statistics Comparison: White springs vs Guymon

  • Poor mental health levels are equal in both White springs and Guymon at 18.1%.
  • Higher depression rates are seen in Guymon at 22.3% versus 19.4% in White springs.
  • Smoking is more prevalent in White springs at 26.4% compared to 20.6% in Guymon.
  • Binge drinking is more common in White springs at 13.7% compared to 12.8% in Guymon.
  • Guymon has higher obesity rates at 45.8% compared to 37.4% in White springs.
  • Disability percentages are higher in White springs at 24.0% compared to 10.0% in Guymon.

Education Levels

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

Education Level White springs Guymon
No Schooling 1.3% (10) 1.8% (227)
High School Diploma 30.3% (226) 15.0% (1,853)
Less than High School 14.1% (105) 35.4% (4,377)
Bachelor's Degree and Higher 11.9% (89) 12.6% (1,562)

Education Levels Comparison: White springs vs Guymon

  • In Guymon, a larger percentage of residents lack formal schooling at 1.8% compared to 1.3% in White springs.
  • A higher percentage of residents in White springs hold a high school diploma at 30.3% compared to 15.0% in Guymon.
  • The percentage of residents with less than a high school education is higher in Guymon at 35.4%, compared to 14.1% in White springs.
  • In Guymon, a larger share of residents have a bachelor's degree or higher at 12.6% compared to 11.9% in White springs.

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.