Demographics details for Guymon, OK vs House springs, MO
Population Overview
Compare main population characteristics in Guymon, OK vs House springs, MO.
Data | Guymon | House springs |
---|---|---|
Population | 12,378 | 12,300 |
Median Age | 30.8 years | 35.0 years |
Median Income | $55,526 | $60,000 |
Married Families | 32.0% | 50.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Guymon vs House springs
- In Guymon, the population is higher at 12,378, compared to 12,300 in House springs.
- The median age in House springs is higher at 35.0 years, compared to 30.8 years in Guymon.
- House springs has a higher median income of $60,000, compared to $55,526 in Guymon.
- In House springs, the percentage of married families is higher at 50.0%, compared to 32.0% in Guymon.
- Guymon has a higher poverty level at 11% compared to 10% in House springs.
- House springs has a higher unemployment rate at 4.0% compared to 3.5% in Guymon.
Demographics
Demographics Guymon vs House springs provide insight into the diversity of the communities to compare.
Demographic | Guymon | House springs |
---|---|---|
Black | 10 | 5 |
White | 13 | 90 |
Asian | 2 | 3 |
Hispanic | 57 | 2 |
Two or More Races | 16 | 5 |
American Indian | 2 | Data is updating |
Demographics Comparison: Guymon vs House springs
- A higher percentage of Black residents are in Guymon at 10% compared to 5% in House springs.
- The percentage of White residents is higher in House springs at 90% compared to 13% in Guymon.
- In House springs, the Asian population stands at 3%, greater than 2% in Guymon.
- The Hispanic community is larger in Guymon at 57% compared to 2% in House springs.
- More residents identify as two or more races in Guymon at 16% compared to 5% in House springs.
- A greater percentage of American Indian residents live in Guymon at 2% compared to 0% in House springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Guymon | House springs |
---|---|---|
Mental Health Not Good | 18.1% | Data is updating% |
Physical Health Not Good | 14.9% | Data is updating% |
Depression | 22.3% | Data is updating% |
Smoking | 20.6% | Data is updating% |
Binge Drinking | 12.8% | Data is updating% |
Obesity | 45.8% | Data is updating% |
Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Guymon vs House springs
- More residents in Guymon report poor mental health at 18.1% compared to 0.0% in House springs.
- Depression is more prevalent in Guymon at 22.3% compared to 0.0% in House springs.
- Smoking is more prevalent in Guymon at 20.6% compared to 0.0% in House springs.
- Binge drinking is more common in Guymon at 12.8% compared to 0.0% in House springs.
- Obesity rates are higher in Guymon at 45.8% compared to 0.0% in House springs.
- Disability percentages are higher in Guymon at 10.0% compared to 0.0% in House springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Guymon | House springs |
---|---|---|
No Schooling | 1.8% (227) | 0.0% (Data is updating) |
High School Diploma | 15.0% (1,853) | 0.0% (Data is updating) |
Less than High School | 35.4% (4,377) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 12.6% (1,562) | 0.0% (Data is updating) |
Education Levels Comparison: Guymon vs House springs
- A higher percentage of residents in Guymon have no formal schooling at 1.8% compared to 0.0% in House springs.
- A higher percentage of residents in Guymon hold a high school diploma at 15.0% compared to 0.0% in House springs.
- More residents in Guymon have less than a high school education at 35.4% compared to 0.0% in House springs.
- A higher percentage of residents in Guymon hold a bachelor's degree or higher at 12.6% compared to 0.0% in House 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.