Demographics details for Guymon, OK vs Mount olive, MS
Population Overview
Compare main population characteristics in Guymon, OK vs Mount olive, MS.
| Data | Guymon | Mount olive |
|---|---|---|
| Population | 12,378 | 878 |
| Median Age | 30.8 years | 31.7 years |
| Median Income | $55,526 | $53,947 |
| Married Families | 32.0% | 49.0% |
| Poverty Level | 11% | 18% |
| Unemployment Rate | 3.5 | 6.5 |
Population Comparison: Guymon vs Mount olive
- In Guymon, the population is higher at 12,378, compared to 878 in Mount olive.
- The median age in Mount olive is higher at 31.7 years, compared to 30.8 years in Guymon.
- Guymon has a higher median income of $55,526 compared to $53,947 in Mount olive.
- In Mount olive, the percentage of married families is higher at 49.0%, compared to 32.0% in Guymon.
- The poverty level is higher in Mount olive at 18%, compared to 11% in Guymon.
- Mount olive has a higher unemployment rate at 6.5% compared to 3.5% in Guymon.
Demographics
Demographics Guymon vs Mount olive provide insight into the diversity of the communities to compare.
| Demographic | Guymon | Mount olive |
|---|---|---|
| Black | 10 | 120 |
| White | 13 | 145 |
| Asian | 2 | 2 |
| Hispanic | 57 | Data is updating |
| Two or More Races | 16 | Data is updating |
| American Indian | 2 | Data is updating |
Demographics Comparison: Guymon vs Mount olive
- In Mount olive, the percentage of Black residents is higher at 120% compared to 10% in Guymon.
- The percentage of White residents is higher in Mount olive at 145% compared to 13% in Guymon.
- Both Guymon and Mount olive have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Guymon at 57% compared to 0% in Mount olive.
- More residents identify as two or more races in Guymon at 16% compared to 0% in Mount olive.
- A greater percentage of American Indian residents live in Guymon at 2% compared to 0% in Mount olive.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Guymon | Mount olive |
|---|---|---|
| Mental Health Not Good | 18.1% | 17.8% |
| Physical Health Not Good | 14.9% | 13.3% |
| Depression | 22.3% | 21.5% |
| Smoking | 20.6% | 21.3% |
| Binge Drinking | 12.8% | 13.0% |
| Obesity | 45.8% | 43.6% |
| Disability Percentage | 10.0% | 27.0% |
Health Statistics Comparison: Guymon vs Mount olive
- More residents in Guymon report poor mental health at 18.1% compared to 17.8% in Mount olive.
- Depression is more prevalent in Guymon at 22.3% compared to 21.5% in Mount olive.
- Mount olive has a higher smoking rate at 21.3% compared to 20.6% in Guymon.
- More residents engage in binge drinking in Mount olive at 13.0% compared to 12.8% in Guymon.
- Obesity rates are higher in Guymon at 45.8% compared to 43.6% in Mount olive.
- There is a higher percentage of disabled individuals in Mount olive at 27.0% 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 | Guymon | Mount olive |
|---|---|---|
| No Schooling | 1.8% (227) | 2.3% (20) |
| High School Diploma | 15.0% (1,853) | 23.9% (210) |
| Less than High School | 35.4% (4,377) | 14.9% (131) |
| Bachelor's Degree and Higher | 12.6% (1,562) | 13.0% (114) |
Education Levels Comparison: Guymon vs Mount olive
- In Mount olive, a larger percentage of residents lack formal schooling at 2.3% compared to 1.8% in Guymon.
- In Mount olive, the rate of residents with high school diplomas is higher at 23.9% compared to 15.0% in Guymon.
- More residents in Guymon have less than a high school education at 35.4% compared to 14.9% in Mount olive.
- In Mount olive, a larger share of residents have a bachelor's degree or higher at 13.0% compared to 12.6% in Guymon.
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.