Demographics details for Mount orab, OH vs Hayward, CA
Population Overview
Compare main population characteristics in Mount orab, OH vs Hayward, CA.
| Data | Mount orab | Hayward |
|---|---|---|
| Population | 4,337 | 156,754 |
| Median Age | 30.4 years | 37.6 years |
| Median Income | $62,833 | $105,371 |
| Married Families | 37.0% | 40.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 5.0 |
Population Comparison: Mount orab vs Hayward
- The population in Hayward is higher at 156,754, compared to 4,337 in Mount orab.
- The median age in Hayward is higher at 37.6 years, compared to 30.4 years in Mount orab.
- Hayward has a higher median income of $105,371, compared to $62,833 in Mount orab.
- In Hayward, the percentage of married families is higher at 40.0%, compared to 37.0% in Mount orab.
- The poverty level is identical in both Mount orab and Hayward at 10%.
- Hayward has a higher unemployment rate at 5.0% compared to 4.5% in Mount orab.
Demographics
Demographics Mount orab vs Hayward provide insight into the diversity of the communities to compare.
| Demographic | Mount orab | Hayward |
|---|---|---|
| Black | 1 | 9 |
| White | 98 | 7 |
| Asian | Data is updating | 30 |
| Hispanic | Data is updating | 41 |
| Two or More Races | 1 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mount orab vs Hayward
- In Hayward, the percentage of Black residents is higher at 9% compared to 1% in Mount orab.
- Mount orab has a higher percentage of White residents at 98% compared to 7% in Hayward.
- In Hayward, the Asian population stands at 30%, greater than 0% in Mount orab.
- Hayward has a higher percentage of Hispanic residents at 41%, compared to 0% in Mount orab.
- The percentage of residents identifying as two or more races is higher in Hayward at 12%, compared to 1% in Mount orab.
- In Hayward, the percentage of American Indian residents is higher at 1%, compared to 0% in Mount orab.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount orab | Hayward |
|---|---|---|
| Mental Health Not Good | 18.3% | 15.2% |
| Physical Health Not Good | 12.8% | 10.3% |
| Depression | 25.7% | 16.8% |
| Smoking | 22.9% | 11.2% |
| Binge Drinking | 18.6% | 15.2% |
| Obesity | 42.0% | 28.6% |
| Disability Percentage | 16.0% | 10.0% |
Health Statistics Comparison: Mount orab vs Hayward
- More residents in Mount orab report poor mental health at 18.3% compared to 15.2% in Hayward.
- Depression is more prevalent in Mount orab at 25.7% compared to 16.8% in Hayward.
- Smoking is more prevalent in Mount orab at 22.9% compared to 11.2% in Hayward.
- Binge drinking is more common in Mount orab at 18.6% compared to 15.2% in Hayward.
- Obesity rates are higher in Mount orab at 42.0% compared to 28.6% in Hayward.
- Disability percentages are higher in Mount orab at 16.0% compared to 10.0% in Hayward.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount orab | Hayward |
|---|---|---|
| No Schooling | 0.8% (36) | 2.9% (4,514) |
| High School Diploma | 23.9% (1,037) | 16.1% (25,263) |
| Less than High School | 25.7% (1,116) | 21.8% (34,226) |
| Bachelor's Degree and Higher | 11.0% (479) | 22.9% (35,935) |
Education Levels Comparison: Mount orab vs Hayward
- In Hayward, a larger percentage of residents lack formal schooling at 2.9% compared to 0.8% in Mount orab.
- A higher percentage of residents in Mount orab hold a high school diploma at 23.9% compared to 16.1% in Hayward.
- More residents in Mount orab have less than a high school education at 25.7% compared to 21.8% in Hayward.
- In Hayward, a larger share of residents have a bachelor's degree or higher at 22.9% compared to 11.0% in Mount orab.
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.