Demographics details for Vacaville, CA vs Millersport, OH
Population Overview
Compare main population characteristics in Vacaville, CA vs Millersport, OH.
Data | Vacaville | Millersport |
---|---|---|
Population | 101,918 | 970 |
Median Age | 37.3 years | 43.9 years |
Median Income | $106,764 | $69,063 |
Married Families | 39.0% | 47.0% |
Poverty Level | 12% | 6% |
Unemployment Rate | 4.6 | 4.5 |
Population Comparison: Vacaville vs Millersport
- In Vacaville, the population is higher at 101,918, compared to 970 in Millersport.
- The median age in Millersport is higher at 43.9 years, compared to 37.3 years in Vacaville.
- Vacaville has a higher median income of $106,764 compared to $69,063 in Millersport.
- In Millersport, the percentage of married families is higher at 47.0%, compared to 39.0% in Vacaville.
- Vacaville has a higher poverty level at 12% compared to 6% in Millersport.
- The unemployment rate in Vacaville is higher at 4.6%, compared to 4.5% in Millersport.
Demographics
Demographics Vacaville vs Millersport provide insight into the diversity of the communities to compare.
Demographic | Vacaville | Millersport |
---|---|---|
Black | 8 | 1 |
White | 43 | 94 |
Asian | 10 | Data is updating |
Hispanic | 26 | 2 |
Two or More Races | 12 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Vacaville vs Millersport
- A higher percentage of Black residents are in Vacaville at 8% compared to 1% in Millersport.
- The percentage of White residents is higher in Millersport at 94% compared to 43% in Vacaville.
- The Asian population is larger in Vacaville at 10% compared to 0% in Millersport.
- The Hispanic community is larger in Vacaville at 26% compared to 2% in Millersport.
- More residents identify as two or more races in Vacaville at 12% compared to 3% in Millersport.
- A greater percentage of American Indian residents live in Vacaville at 1% compared to 0% in Millersport.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Vacaville | Millersport |
---|---|---|
Mental Health Not Good | 16.0% | 18.1% |
Physical Health Not Good | 10.7% | 12.3% |
Depression | 18.9% | 25.4% |
Smoking | 12.5% | 21.3% |
Binge Drinking | 17.9% | 20.1% |
Obesity | 30.6% | 45.0% |
Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Vacaville vs Millersport
- In Millersport, a higher percentage report poor mental health at 18.1% compared to 16.0% in Vacaville.
- Higher depression rates are seen in Millersport at 25.4% versus 18.9% in Vacaville.
- Millersport has a higher smoking rate at 21.3% compared to 12.5% in Vacaville.
- More residents engage in binge drinking in Millersport at 20.1% compared to 17.9% in Vacaville.
- Millersport has higher obesity rates at 45.0% compared to 30.6% in Vacaville.
- There is a higher percentage of disabled individuals in Millersport at 19.0% 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 | Vacaville | Millersport |
---|---|---|
No Schooling | 0.8% (813) | 0.4% (4) |
High School Diploma | 13.4% (13,656) | 24.7% (240) |
Less than High School | 10.1% (10,246) | 8.7% (84) |
Bachelor's Degree and Higher | 18.1% (18,492) | 14.8% (144) |
Education Levels Comparison: Vacaville vs Millersport
- A higher percentage of residents in Vacaville have no formal schooling at 0.8% compared to 0.4% in Millersport.
- In Millersport, the rate of residents with high school diplomas is higher at 24.7% compared to 13.4% in Vacaville.
- More residents in Vacaville have less than a high school education at 10.1% compared to 8.7% in Millersport.
- A higher percentage of residents in Vacaville hold a bachelor's degree or higher at 18.1% compared to 14.8% in Millersport.
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.