Demographics details for Springhill, LA vs Guymon, OK
Population Overview
Compare main population characteristics in Springhill, LA vs Guymon, OK.
| Data | Springhill | Guymon |
|---|---|---|
| Population | 4,575 | 12,378 |
| Median Age | 46.1 years | 30.8 years |
| Median Income | $27,868 | $55,526 |
| Married Families | 34.0% | 32.0% |
| Poverty Level | 20% | 11% |
| Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Springhill vs Guymon
- The population in Guymon is higher at 12,378, compared to 4,575 in Springhill.
- Residents in Springhill have a higher median age of 46.1 years compared to 30.8 years in Guymon.
- Guymon has a higher median income of $55,526, compared to $27,868 in Springhill.
- A higher percentage of married families is found in Springhill at 34.0% compared to 32.0% in Guymon.
- Springhill has a higher poverty level at 20% compared to 11% in Guymon.
- The unemployment rate in Springhill is higher at 5.2%, compared to 3.5% in Guymon.
Demographics
Demographics Springhill vs Guymon provide insight into the diversity of the communities to compare.
| Demographic | Springhill | Guymon |
|---|---|---|
| Black | 34 | 10 |
| White | 55 | 13 |
| Asian | Data is updating | 2 |
| Hispanic | 8 | 57 |
| Two or More Races | 2 | 16 |
| American Indian | 1 | 2 |
Demographics Comparison: Springhill vs Guymon
- A higher percentage of Black residents are in Springhill at 34% compared to 10% in Guymon.
- Springhill has a higher percentage of White residents at 55% compared to 13% in Guymon.
- In Guymon, the Asian population stands at 2%, greater than 0% in Springhill.
- Guymon has a higher percentage of Hispanic residents at 57%, compared to 8% in Springhill.
- The percentage of residents identifying as two or more races is higher in Guymon at 16%, compared to 2% in Springhill.
- In Guymon, the percentage of American Indian residents is higher at 2%, compared to 1% in Springhill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Springhill | Guymon |
|---|---|---|
| Mental Health Not Good | 23.7% | 18.1% |
| Physical Health Not Good | 18.7% | 14.9% |
| Depression | 29.9% | 22.3% |
| Smoking | 31.4% | 20.6% |
| Binge Drinking | 15.2% | 12.8% |
| Obesity | 45.4% | 45.8% |
| Disability Percentage | 21.0% | 10.0% |
Health Statistics Comparison: Springhill vs Guymon
- More residents in Springhill report poor mental health at 23.7% compared to 18.1% in Guymon.
- Depression is more prevalent in Springhill at 29.9% compared to 22.3% in Guymon.
- Smoking is more prevalent in Springhill at 31.4% compared to 20.6% in Guymon.
- Binge drinking is more common in Springhill at 15.2% compared to 12.8% in Guymon.
- Guymon has higher obesity rates at 45.8% compared to 45.4% in Springhill.
- Disability percentages are higher in Springhill at 21.0% 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 | Springhill | Guymon |
|---|---|---|
| No Schooling | 2.3% (104) | 1.8% (227) |
| High School Diploma | 22.5% (1,028) | 15.0% (1,853) |
| Less than High School | 24.5% (1,122) | 35.4% (4,377) |
| Bachelor's Degree and Higher | 6.1% (277) | 12.6% (1,562) |
Education Levels Comparison: Springhill vs Guymon
- A higher percentage of residents in Springhill have no formal schooling at 2.3% compared to 1.8% in Guymon.
- A higher percentage of residents in Springhill hold a high school diploma at 22.5% 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 24.5% in Springhill.
- In Guymon, a larger share of residents have a bachelor's degree or higher at 12.6% compared to 6.1% in Springhill.
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.