Demographics details for Cleveland, GA vs Vacaville, CA
Population Overview
Compare main population characteristics in Cleveland, GA vs Vacaville, CA.
| Data | Cleveland | Vacaville |
|---|---|---|
| Population | 3,548 | 101,918 |
| Median Age | 39.6 years | 37.3 years |
| Median Income | $46,994 | $106,764 |
| Married Families | 25.0% | 39.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.5 | 4.6 |
Population Comparison: Cleveland vs Vacaville
- The population in Vacaville is higher at 101,918, compared to 3,548 in Cleveland.
- Residents in Cleveland have a higher median age of 39.6 years compared to 37.3 years in Vacaville.
- Vacaville has a higher median income of $106,764, compared to $46,994 in Cleveland.
- In Vacaville, the percentage of married families is higher at 39.0%, compared to 25.0% in Cleveland.
- The poverty level is identical in both Cleveland and Vacaville at 12%.
- Vacaville has a higher unemployment rate at 4.6% compared to 3.5% in Cleveland.
Demographics
Demographics Cleveland vs Vacaville provide insight into the diversity of the communities to compare.
| Demographic | Cleveland | Vacaville |
|---|---|---|
| Black | 5 | 8 |
| White | 84 | 43 |
| Asian | 2 | 10 |
| Hispanic | 2 | 26 |
| Two or More Races | 7 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Cleveland vs Vacaville
- In Vacaville, the percentage of Black residents is higher at 8% compared to 5% in Cleveland.
- Cleveland has a higher percentage of White residents at 84% compared to 43% in Vacaville.
- In Vacaville, the Asian population stands at 10%, greater than 2% in Cleveland.
- Vacaville has a higher percentage of Hispanic residents at 26%, compared to 2% in Cleveland.
- The percentage of residents identifying as two or more races is higher in Vacaville at 12%, compared to 7% in Cleveland.
- In Vacaville, the percentage of American Indian residents is higher at 1%, compared to 0% in Cleveland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cleveland | Vacaville |
|---|---|---|
| Mental Health Not Good | 18.1% | 16.0% |
| Physical Health Not Good | 12.8% | 10.7% |
| Depression | 24.2% | 18.9% |
| Smoking | 18.9% | 12.5% |
| Binge Drinking | 16.2% | 17.9% |
| Obesity | 33.2% | 30.6% |
| Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Cleveland vs Vacaville
- More residents in Cleveland report poor mental health at 18.1% compared to 16.0% in Vacaville.
- Depression is more prevalent in Cleveland at 24.2% compared to 18.9% in Vacaville.
- Smoking is more prevalent in Cleveland at 18.9% compared to 12.5% in Vacaville.
- More residents engage in binge drinking in Vacaville at 17.9% compared to 16.2% in Cleveland.
- Obesity rates are higher in Cleveland at 33.2% compared to 30.6% in Vacaville.
- Disability percentages are higher in Cleveland at 17.0% compared to 10.0% in Vacaville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cleveland | Vacaville |
|---|---|---|
| No Schooling | 0.8% (30) | 0.8% (813) |
| High School Diploma | 18.5% (656) | 13.4% (13,656) |
| Less than High School | 15.4% (545) | 10.1% (10,246) |
| Bachelor's Degree and Higher | 10.2% (362) | 18.1% (18,492) |
Education Levels Comparison: Cleveland vs Vacaville
- The percentage of residents with no formal schooling is the same in both Cleveland and Vacaville at 0.8%.
- A higher percentage of residents in Cleveland hold a high school diploma at 18.5% compared to 13.4% in Vacaville.
- More residents in Cleveland have less than a high school education at 15.4% compared to 10.1% in Vacaville.
- In Vacaville, a larger share of residents have a bachelor's degree or higher at 18.1% compared to 10.2% in Cleveland.
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.