Demographics details for Payneville, KY vs Sunbury, OH
Population Overview
Compare main population characteristics in Payneville, KY vs Sunbury, OH.
| Data | Payneville | Sunbury |
|---|---|---|
| Population | 3,706 | 7,906 |
| Median Age | 47.4 years | 33.3 years |
| Median Income | $66,055 | $92,115 |
| Married Families | 37.0% | 34.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 3.2 | 2.3 |
Population Comparison: Payneville vs Sunbury
- The population in Sunbury is higher at 7,906, compared to 3,706 in Payneville.
- Residents in Payneville have a higher median age of 47.4 years compared to 33.3 years in Sunbury.
- Sunbury has a higher median income of $92,115, compared to $66,055 in Payneville.
- A higher percentage of married families is found in Payneville at 37.0% compared to 34.0% in Sunbury.
- Payneville has a higher poverty level at 9% compared to 5% in Sunbury.
- The unemployment rate in Payneville is higher at 3.2%, compared to 2.3% in Sunbury.
Demographics
Demographics Payneville vs Sunbury provide insight into the diversity of the communities to compare.
| Demographic | Payneville | Sunbury |
|---|---|---|
| Black | Data is updating | 1 |
| White | 91 | 89 |
| Asian | 1 | 1 |
| Hispanic | 6 | 6 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Payneville vs Sunbury
- In Sunbury, the percentage of Black residents is higher at 1% compared to 0% in Payneville.
- Payneville has a higher percentage of White residents at 91% compared to 89% in Sunbury.
- Both Payneville and Sunbury have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Payneville and Sunbury at 6%.
- The percentage of residents identifying as two or more races is higher in Sunbury at 3%, compared to 2% in Payneville.
- The percentage of American Indian residents is the same in both Payneville and Sunbury at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Payneville | Sunbury |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.8% |
| Physical Health Not Good | Data is updating% | 9.4% |
| Depression | Data is updating% | 20.6% |
| Smoking | Data is updating% | 13.3% |
| Binge Drinking | Data is updating% | 18.2% |
| Obesity | Data is updating% | 37.9% |
| Disability Percentage | 22.0% | 8.0% |
Health Statistics Comparison: Payneville vs Sunbury
- In Sunbury, a higher percentage report poor mental health at 14.8% compared to 0.0% in Payneville.
- Higher depression rates are seen in Sunbury at 20.6% versus 0.0% in Payneville.
- Sunbury has a higher smoking rate at 13.3% compared to 0.0% in Payneville.
- More residents engage in binge drinking in Sunbury at 18.2% compared to 0.0% in Payneville.
- Sunbury has higher obesity rates at 37.9% compared to 0.0% in Payneville.
- Disability percentages are higher in Payneville at 22.0% compared to 8.0% in Sunbury.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Payneville | Sunbury |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (30) |
| High School Diploma | 21.3% (790) | 12.4% (983) |
| Less than High School | 16.7% (620) | 6.1% (483) |
| Bachelor's Degree and Higher | 12.1% (450) | 22.0% (1,739) |
Education Levels Comparison: Payneville vs Sunbury
- In Sunbury, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Payneville.
- A higher percentage of residents in Payneville hold a high school diploma at 21.3% compared to 12.4% in Sunbury.
- More residents in Payneville have less than a high school education at 16.7% compared to 6.1% in Sunbury.
- In Sunbury, a larger share of residents have a bachelor's degree or higher at 22.0% compared to 12.1% in Payneville.
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.