Demographics details for Sylvania, OH vs Moorpark, CA
Population Overview
Compare main population characteristics in Sylvania, OH vs Moorpark, CA.
| Data | Sylvania | Moorpark |
|---|---|---|
| Population | 19,051 | 35,514 |
| Median Age | 42.1 years | 38.8 years |
| Median Income | $86,048 | $143,218 |
| Married Families | 46.0% | 47.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Sylvania vs Moorpark
- The population in Moorpark is higher at 35,514, compared to 19,051 in Sylvania.
- Residents in Sylvania have a higher median age of 42.1 years compared to 38.8 years in Moorpark.
- Moorpark has a higher median income of $143,218, compared to $86,048 in Sylvania.
- In Moorpark, the percentage of married families is higher at 47.0%, compared to 46.0% in Sylvania.
- The poverty level is higher in Moorpark at 8%, compared to 5% in Sylvania.
- Moorpark has a higher unemployment rate at 4.1% compared to 3.5% in Sylvania.
Demographics
Demographics Sylvania vs Moorpark provide insight into the diversity of the communities to compare.
| Demographic | Sylvania | Moorpark |
|---|---|---|
| Black | 2 | 3 |
| White | 89 | 38 |
| Asian | 3 | 7 |
| Hispanic | 3 | 34 |
| Two or More Races | 3 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Sylvania vs Moorpark
- In Moorpark, the percentage of Black residents is higher at 3% compared to 2% in Sylvania.
- Sylvania has a higher percentage of White residents at 89% compared to 38% in Moorpark.
- In Moorpark, the Asian population stands at 7%, greater than 3% in Sylvania.
- Moorpark has a higher percentage of Hispanic residents at 34%, compared to 3% in Sylvania.
- The percentage of residents identifying as two or more races is higher in Moorpark at 17%, compared to 3% in Sylvania.
- In Moorpark, the percentage of American Indian residents is higher at 1%, compared to 0% in Sylvania.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sylvania | Moorpark |
|---|---|---|
| Mental Health Not Good | 15.5% | 13.8% |
| Physical Health Not Good | 8.7% | 8.9% |
| Depression | 22.9% | 17.6% |
| Smoking | 13.5% | 9.2% |
| Binge Drinking | 18.1% | 17.8% |
| Obesity | 35.0% | 24.7% |
| Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Sylvania vs Moorpark
- More residents in Sylvania report poor mental health at 15.5% compared to 13.8% in Moorpark.
- Depression is more prevalent in Sylvania at 22.9% compared to 17.6% in Moorpark.
- Smoking is more prevalent in Sylvania at 13.5% compared to 9.2% in Moorpark.
- Binge drinking is more common in Sylvania at 18.1% compared to 17.8% in Moorpark.
- Obesity rates are higher in Sylvania at 35.0% compared to 24.7% in Moorpark.
- Disability percentages are the same in both Sylvania and Moorpark at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sylvania | Moorpark |
|---|---|---|
| No Schooling | 0.0% (7) | 0.8% (300) |
| High School Diploma | 12.1% (2,300) | 9.3% (3,304) |
| Less than High School | 3.1% (587) | 11.8% (4,201) |
| Bachelor's Degree and Higher | 35.1% (6,680) | 30.1% (10,699) |
Education Levels Comparison: Sylvania vs Moorpark
- In Moorpark, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Sylvania.
- A higher percentage of residents in Sylvania hold a high school diploma at 12.1% compared to 9.3% in Moorpark.
- The percentage of residents with less than a high school education is higher in Moorpark at 11.8%, compared to 3.1% in Sylvania.
- A higher percentage of residents in Sylvania hold a bachelor's degree or higher at 35.1% compared to 30.1% in Moorpark.
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.