Demographics details for Colbert, OK vs Rayland, OH
Population Overview
Compare main population characteristics in Colbert, OK vs Rayland, OH.
| Data | Colbert | Rayland |
|---|---|---|
| Population | 1,074 | 384 |
| Median Age | 43.9 years | 48.5 years |
| Median Income | $53,600 | $56,875 |
| Married Families | 44.0% | 46.0% |
| Poverty Level | 15% | 16% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Colbert vs Rayland
- In Colbert, the population is higher at 1,074, compared to 384 in Rayland.
- The median age in Rayland is higher at 48.5 years, compared to 43.9 years in Colbert.
- Rayland has a higher median income of $56,875, compared to $53,600 in Colbert.
- In Rayland, the percentage of married families is higher at 46.0%, compared to 44.0% in Colbert.
- The poverty level is higher in Rayland at 16%, compared to 15% in Colbert.
- Rayland has a higher unemployment rate at 4.5% compared to 3.5% in Colbert.
Demographics
Demographics Colbert vs Rayland provide insight into the diversity of the communities to compare.
| Demographic | Colbert | Rayland |
|---|---|---|
| Black | 12 | Data is updating |
| White | 66 | 98 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 8 | 2 |
| American Indian | 10 | Data is updating |
Demographics Comparison: Colbert vs Rayland
- A higher percentage of Black residents are in Colbert at 12% compared to 0% in Rayland.
- The percentage of White residents is higher in Rayland at 98% compared to 66% in Colbert.
- Both Colbert and Rayland have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Colbert at 4% compared to 0% in Rayland.
- More residents identify as two or more races in Colbert at 8% compared to 2% in Rayland.
- A greater percentage of American Indian residents live in Colbert at 10% compared to 0% in Rayland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Colbert | Rayland |
|---|---|---|
| Mental Health Not Good | 19.1% | 19.8% |
| Physical Health Not Good | 13.7% | 13.6% |
| Depression | 25.5% | 25.8% |
| Smoking | 21.6% | 25.7% |
| Binge Drinking | 14.3% | 18.0% |
| Obesity | 43.2% | 41.8% |
| Disability Percentage | 26.0% | 24.0% |
Health Statistics Comparison: Colbert vs Rayland
- In Rayland, a higher percentage report poor mental health at 19.8% compared to 19.1% in Colbert.
- Higher depression rates are seen in Rayland at 25.8% versus 25.5% in Colbert.
- Rayland has a higher smoking rate at 25.7% compared to 21.6% in Colbert.
- More residents engage in binge drinking in Rayland at 18.0% compared to 14.3% in Colbert.
- Obesity rates are higher in Colbert at 43.2% compared to 41.8% in Rayland.
- Disability percentages are higher in Colbert at 26.0% compared to 24.0% in Rayland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Colbert | Rayland |
|---|---|---|
| No Schooling | 0.5% (5) | 1.0% (4) |
| High School Diploma | 33.7% (362) | 35.4% (136) |
| Less than High School | 31.4% (337) | 9.9% (38) |
| Bachelor's Degree and Higher | 16.8% (180) | 7.3% (28) |
Education Levels Comparison: Colbert vs Rayland
- In Rayland, a larger percentage of residents lack formal schooling at 1.0% compared to 0.5% in Colbert.
- In Rayland, the rate of residents with high school diplomas is higher at 35.4% compared to 33.7% in Colbert.
- More residents in Colbert have less than a high school education at 31.4% compared to 9.9% in Rayland.
- A higher percentage of residents in Colbert hold a bachelor's degree or higher at 16.8% compared to 7.3% in Rayland.
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.