Demographics details for Sunbury, OH vs Fairfield, CA
Population Overview
Compare main population characteristics in Sunbury, OH vs Fairfield, CA.
| Data | Sunbury | Fairfield |
|---|---|---|
| Population | 7,906 | 119,338 |
| Median Age | 33.3 years | 35.8 years |
| Median Income | $92,115 | $98,857 |
| Married Families | 34.0% | 39.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 2.3 | 5.1 |
Population Comparison: Sunbury vs Fairfield
- The population in Fairfield is higher at 119,338, compared to 7,906 in Sunbury.
- The median age in Fairfield is higher at 35.8 years, compared to 33.3 years in Sunbury.
- Fairfield has a higher median income of $98,857, compared to $92,115 in Sunbury.
- In Fairfield, the percentage of married families is higher at 39.0%, compared to 34.0% in Sunbury.
- The poverty level is higher in Fairfield at 12%, compared to 5% in Sunbury.
- Fairfield has a higher unemployment rate at 5.1% compared to 2.3% in Sunbury.
Demographics
Demographics Sunbury vs Fairfield provide insight into the diversity of the communities to compare.
| Demographic | Sunbury | Fairfield |
|---|---|---|
| Black | 1 | 15 |
| White | 89 | 23 |
| Asian | 1 | 18 |
| Hispanic | 6 | 30 |
| Two or More Races | 3 | 14 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sunbury vs Fairfield
- In Fairfield, the percentage of Black residents is higher at 15% compared to 1% in Sunbury.
- Sunbury has a higher percentage of White residents at 89% compared to 23% in Fairfield.
- In Fairfield, the Asian population stands at 18%, greater than 1% in Sunbury.
- Fairfield has a higher percentage of Hispanic residents at 30%, compared to 6% in Sunbury.
- The percentage of residents identifying as two or more races is higher in Fairfield at 14%, compared to 3% in Sunbury.
- The percentage of American Indian residents is the same in both Sunbury and Fairfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sunbury | Fairfield |
|---|---|---|
| Mental Health Not Good | 14.8% | 15.8% |
| Physical Health Not Good | 9.4% | 10.7% |
| Depression | 20.6% | 17.7% |
| Smoking | 13.3% | 11.9% |
| Binge Drinking | 18.2% | 16.1% |
| Obesity | 37.9% | 30.1% |
| Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Sunbury vs Fairfield
- In Fairfield, a higher percentage report poor mental health at 15.8% compared to 14.8% in Sunbury.
- Depression is more prevalent in Sunbury at 20.6% compared to 17.7% in Fairfield.
- Smoking is more prevalent in Sunbury at 13.3% compared to 11.9% in Fairfield.
- Binge drinking is more common in Sunbury at 18.2% compared to 16.1% in Fairfield.
- Obesity rates are higher in Sunbury at 37.9% compared to 30.1% in Fairfield.
- There is a higher percentage of disabled individuals in Fairfield at 12.0% 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 | Sunbury | Fairfield |
|---|---|---|
| No Schooling | 0.4% (30) | 2.1% (2,515) |
| High School Diploma | 12.4% (983) | 13.7% (16,358) |
| Less than High School | 6.1% (483) | 14.6% (17,464) |
| Bachelor's Degree and Higher | 22.0% (1,739) | 18.3% (21,856) |
Education Levels Comparison: Sunbury vs Fairfield
- In Fairfield, a larger percentage of residents lack formal schooling at 2.1% compared to 0.4% in Sunbury.
- In Fairfield, the rate of residents with high school diplomas is higher at 13.7% compared to 12.4% in Sunbury.
- The percentage of residents with less than a high school education is higher in Fairfield at 14.6%, compared to 6.1% in Sunbury.
- A higher percentage of residents in Sunbury hold a bachelor's degree or higher at 22.0% compared to 18.3% in Fairfield.
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.