Demographics details for Sunbury, OH vs Isabella, OK
Population Overview
Compare main population characteristics in Sunbury, OH vs Isabella, OK.
| Data | Sunbury | Isabella |
|---|---|---|
| Population | 7,906 | 86 |
| Median Age | 33.3 years | 28.6 years |
| Median Income | $92,115 | $56,550 |
| Married Families | 34.0% | 42.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 2.3 | 2.5 |
Population Comparison: Sunbury vs Isabella
- In Sunbury, the population is higher at 7,906, compared to 86 in Isabella.
- Residents in Sunbury have a higher median age of 33.3 years compared to 28.6 years in Isabella.
- Sunbury has a higher median income of $92,115 compared to $56,550 in Isabella.
- In Isabella, the percentage of married families is higher at 42.0%, compared to 34.0% in Sunbury.
- The poverty level is higher in Isabella at 10%, compared to 5% in Sunbury.
- Isabella has a higher unemployment rate at 2.5% compared to 2.3% in Sunbury.
Demographics
Demographics Sunbury vs Isabella provide insight into the diversity of the communities to compare.
| Demographic | Sunbury | Isabella |
|---|---|---|
| Black | 1 | Data is updating |
| White | 89 | 86 |
| Asian | 1 | Data is updating |
| Hispanic | 6 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | 14 |
Demographics Comparison: Sunbury vs Isabella
- A higher percentage of Black residents are in Sunbury at 1% compared to 0% in Isabella.
- Sunbury has a higher percentage of White residents at 89% compared to 86% in Isabella.
- The Asian population is larger in Sunbury at 1% compared to 0% in Isabella.
- The Hispanic community is larger in Sunbury at 6% compared to 0% in Isabella.
- More residents identify as two or more races in Sunbury at 3% compared to 0% in Isabella.
- In Isabella, the percentage of American Indian residents is higher at 14%, compared to 0% in Sunbury.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sunbury | Isabella |
|---|---|---|
| Mental Health Not Good | 14.8% | 17.1% |
| Physical Health Not Good | 9.4% | 11.9% |
| Depression | 20.6% | 23.6% |
| Smoking | 13.3% | 19.0% |
| Binge Drinking | 18.2% | 16.1% |
| Obesity | 37.9% | 42.6% |
| Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Sunbury vs Isabella
- In Isabella, a higher percentage report poor mental health at 17.1% compared to 14.8% in Sunbury.
- Higher depression rates are seen in Isabella at 23.6% versus 20.6% in Sunbury.
- Isabella has a higher smoking rate at 19.0% compared to 13.3% in Sunbury.
- Binge drinking is more common in Sunbury at 18.2% compared to 16.1% in Isabella.
- Isabella has higher obesity rates at 42.6% compared to 37.9% in Sunbury.
- Disability percentages are higher in Sunbury at 8.0% compared to 0.0% in Isabella.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sunbury | Isabella |
|---|---|---|
| No Schooling | 0.4% (30) | 0.0% (Data is updating) |
| High School Diploma | 12.4% (983) | 44.2% (38) |
| Less than High School | 6.1% (483) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 22.0% (1,739) | 16.3% (14) |
Education Levels Comparison: Sunbury vs Isabella
- A higher percentage of residents in Sunbury have no formal schooling at 0.4% compared to 0.0% in Isabella.
- In Isabella, the rate of residents with high school diplomas is higher at 44.2% compared to 12.4% in Sunbury.
- More residents in Sunbury have less than a high school education at 6.1% compared to 0.0% in Isabella.
- A higher percentage of residents in Sunbury hold a bachelor's degree or higher at 22.0% compared to 16.3% in Isabella.
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.