Demographics details for Guymon, OK vs Independence, KY
Population Overview
Compare main population characteristics in Guymon, OK vs Independence, KY.
| Data | Guymon | Independence |
|---|---|---|
| Population | 12,378 | 29,326 |
| Median Age | 30.8 years | 34.7 years |
| Median Income | $55,526 | $92,355 |
| Married Families | 32.0% | 42.0% |
| Poverty Level | 11% | 6% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Guymon vs Independence
- The population in Independence is higher at 29,326, compared to 12,378 in Guymon.
- The median age in Independence is higher at 34.7 years, compared to 30.8 years in Guymon.
- Independence has a higher median income of $92,355, compared to $55,526 in Guymon.
- In Independence, the percentage of married families is higher at 42.0%, compared to 32.0% in Guymon.
- Guymon has a higher poverty level at 11% compared to 6% in Independence.
- Independence has a higher unemployment rate at 4.2% compared to 3.5% in Guymon.
Demographics
Demographics Guymon vs Independence provide insight into the diversity of the communities to compare.
| Demographic | Guymon | Independence |
|---|---|---|
| Black | 10 | 1 |
| White | 13 | 94 |
| Asian | 2 | 1 |
| Hispanic | 57 | 1 |
| Two or More Races | 16 | 3 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Guymon vs Independence
- A higher percentage of Black residents are in Guymon at 10% compared to 1% in Independence.
- The percentage of White residents is higher in Independence at 94% compared to 13% in Guymon.
- The Asian population is larger in Guymon at 2% compared to 1% in Independence.
- The Hispanic community is larger in Guymon at 57% compared to 1% in Independence.
- More residents identify as two or more races in Guymon at 16% compared to 3% in Independence.
- A greater percentage of American Indian residents live in Guymon at 2% compared to 0% in Independence.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Guymon | Independence |
|---|---|---|
| Mental Health Not Good | 18.1% | 16.1% |
| Physical Health Not Good | 14.9% | 10.7% |
| Depression | 22.3% | 25.6% |
| Smoking | 20.6% | 16.7% |
| Binge Drinking | 12.8% | 17.5% |
| Obesity | 45.8% | 32.8% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Guymon vs Independence
- More residents in Guymon report poor mental health at 18.1% compared to 16.1% in Independence.
- Higher depression rates are seen in Independence at 25.6% versus 22.3% in Guymon.
- Smoking is more prevalent in Guymon at 20.6% compared to 16.7% in Independence.
- More residents engage in binge drinking in Independence at 17.5% compared to 12.8% in Guymon.
- Obesity rates are higher in Guymon at 45.8% compared to 32.8% in Independence.
- There is a higher percentage of disabled individuals in Independence at 11.0% 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 | Independence |
|---|---|---|
| No Schooling | 1.8% (227) | 1.1% (337) |
| High School Diploma | 15.0% (1,853) | 14.6% (4,279) |
| Less than High School | 35.4% (4,377) | 6.6% (1,931) |
| Bachelor's Degree and Higher | 12.6% (1,562) | 22.3% (6,549) |
Education Levels Comparison: Guymon vs Independence
- A higher percentage of residents in Guymon have no formal schooling at 1.8% compared to 1.1% in Independence.
- A higher percentage of residents in Guymon hold a high school diploma at 15.0% compared to 14.6% in Independence.
- More residents in Guymon have less than a high school education at 35.4% compared to 6.6% in Independence.
- In Independence, a larger share of residents have a bachelor's degree or higher at 22.3% 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.