Demographics details for Gibsonburg, OH vs Keno, OR
Population Overview
Compare main population characteristics in Gibsonburg, OH vs Keno, OR.
| Data | Gibsonburg | Keno |
|---|---|---|
| Population | 2,436 | 3,083 |
| Median Age | 38.7 years | 47.5 years |
| Median Income | $67,279 | $69,421 |
| Married Families | 44.0% | 47.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.3 | 4.5 |
Population Comparison: Gibsonburg vs Keno
- The population in Keno is higher at 3,083, compared to 2,436 in Gibsonburg.
- The median age in Keno is higher at 47.5 years, compared to 38.7 years in Gibsonburg.
- Keno has a higher median income of $69,421, compared to $67,279 in Gibsonburg.
- In Keno, the percentage of married families is higher at 47.0%, compared to 44.0% in Gibsonburg.
- The poverty level is identical in both Gibsonburg and Keno at 10%.
- Keno has a higher unemployment rate at 4.5% compared to 4.3% in Gibsonburg.
Demographics
Demographics Gibsonburg vs Keno provide insight into the diversity of the communities to compare.
| Demographic | Gibsonburg | Keno |
|---|---|---|
| Black | 2 | Data is updating |
| White | 79 | 82 |
| Asian | Data is updating | 4 |
| Hispanic | 10 | 6 |
| Two or More Races | 9 | 5 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Gibsonburg vs Keno
- A higher percentage of Black residents are in Gibsonburg at 2% compared to 0% in Keno.
- The percentage of White residents is higher in Keno at 82% compared to 79% in Gibsonburg.
- In Keno, the Asian population stands at 4%, greater than 0% in Gibsonburg.
- The Hispanic community is larger in Gibsonburg at 10% compared to 6% in Keno.
- More residents identify as two or more races in Gibsonburg at 9% compared to 5% in Keno.
- In Keno, the percentage of American Indian residents is higher at 3%, compared to 0% in Gibsonburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gibsonburg | Keno |
|---|---|---|
| Mental Health Not Good | 17.6% | Data is updating% |
| Physical Health Not Good | 12.3% | Data is updating% |
| Depression | 23.0% | Data is updating% |
| Smoking | 21.9% | Data is updating% |
| Binge Drinking | 18.4% | Data is updating% |
| Obesity | 42.4% | Data is updating% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Gibsonburg vs Keno
- More residents in Gibsonburg report poor mental health at 17.6% compared to 0.0% in Keno.
- Depression is more prevalent in Gibsonburg at 23.0% compared to 0.0% in Keno.
- Smoking is more prevalent in Gibsonburg at 21.9% compared to 0.0% in Keno.
- Binge drinking is more common in Gibsonburg at 18.4% compared to 0.0% in Keno.
- Obesity rates are higher in Gibsonburg at 42.4% compared to 0.0% in Keno.
- There is a higher percentage of disabled individuals in Keno at 14.0% compared to 11.0% in Gibsonburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gibsonburg | Keno |
|---|---|---|
| No Schooling | 0.2% (4) | 0.2% (6) |
| High School Diploma | 35.6% (867) | 22.0% (678) |
| Less than High School | 5.1% (125) | 16.6% (512) |
| Bachelor's Degree and Higher | 11.3% (275) | 12.9% (398) |
Education Levels Comparison: Gibsonburg vs Keno
- The percentage of residents with no formal schooling is the same in both Gibsonburg and Keno at 0.2%.
- A higher percentage of residents in Gibsonburg hold a high school diploma at 35.6% compared to 22.0% in Keno.
- The percentage of residents with less than a high school education is higher in Keno at 16.6%, compared to 5.1% in Gibsonburg.
- In Keno, a larger share of residents have a bachelor's degree or higher at 12.9% compared to 11.3% in Gibsonburg.
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.