Demographics details for Conneaut, OH vs Vacaville, CA
Population Overview
Compare main population characteristics in Conneaut, OH vs Vacaville, CA.
| Data | Conneaut | Vacaville |
|---|---|---|
| Population | 12,400 | 101,918 |
| Median Age | 40.0 years | 37.3 years |
| Median Income | $55,708 | $106,764 |
| Married Families | 31.0% | 39.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 5.0 | 4.6 |
Population Comparison: Conneaut vs Vacaville
- The population in Vacaville is higher at 101,918, compared to 12,400 in Conneaut.
- Residents in Conneaut have a higher median age of 40.0 years compared to 37.3 years in Vacaville.
- Vacaville has a higher median income of $106,764, compared to $55,708 in Conneaut.
- In Vacaville, the percentage of married families is higher at 39.0%, compared to 31.0% in Conneaut.
- The poverty level is higher in Vacaville at 12%, compared to 10% in Conneaut.
- The unemployment rate in Conneaut is higher at 5.0%, compared to 4.6% in Vacaville.
Demographics
Demographics Conneaut vs Vacaville provide insight into the diversity of the communities to compare.
| Demographic | Conneaut | Vacaville |
|---|---|---|
| Black | 7 | 8 |
| White | 86 | 43 |
| Asian | 1 | 10 |
| Hispanic | 2 | 26 |
| Two or More Races | 4 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Conneaut vs Vacaville
- In Vacaville, the percentage of Black residents is higher at 8% compared to 7% in Conneaut.
- Conneaut has a higher percentage of White residents at 86% compared to 43% in Vacaville.
- In Vacaville, the Asian population stands at 10%, greater than 1% in Conneaut.
- Vacaville has a higher percentage of Hispanic residents at 26%, compared to 2% in Conneaut.
- The percentage of residents identifying as two or more races is higher in Vacaville at 12%, compared to 4% in Conneaut.
- In Vacaville, the percentage of American Indian residents is higher at 1%, compared to 0% in Conneaut.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Conneaut | Vacaville |
|---|---|---|
| Mental Health Not Good | 18.4% | 16.0% |
| Physical Health Not Good | 14.1% | 10.7% |
| Depression | 25.4% | 18.9% |
| Smoking | 27.0% | 12.5% |
| Binge Drinking | 18.4% | 17.9% |
| Obesity | 45.5% | 30.6% |
| Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Conneaut vs Vacaville
- More residents in Conneaut report poor mental health at 18.4% compared to 16.0% in Vacaville.
- Depression is more prevalent in Conneaut at 25.4% compared to 18.9% in Vacaville.
- Smoking is more prevalent in Conneaut at 27.0% compared to 12.5% in Vacaville.
- Binge drinking is more common in Conneaut at 18.4% compared to 17.9% in Vacaville.
- Obesity rates are higher in Conneaut at 45.5% compared to 30.6% in Vacaville.
- Disability percentages are higher in Conneaut 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 | Conneaut | Vacaville |
|---|---|---|
| No Schooling | 0.4% (50) | 0.8% (813) |
| High School Diploma | 26.8% (3,319) | 13.4% (13,656) |
| Less than High School | 17.4% (2,157) | 10.1% (10,246) |
| Bachelor's Degree and Higher | 11.4% (1,411) | 18.1% (18,492) |
Education Levels Comparison: Conneaut vs Vacaville
- In Vacaville, a larger percentage of residents lack formal schooling at 0.8% compared to 0.4% in Conneaut.
- A higher percentage of residents in Conneaut hold a high school diploma at 26.8% compared to 13.4% in Vacaville.
- More residents in Conneaut have less than a high school education at 17.4% 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 11.4% in Conneaut.
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.