Demographics details for Twinsburg, OH vs Mountain view, CA
Population Overview
Compare main population characteristics in Twinsburg, OH vs Mountain view, CA.
| Data | Twinsburg | Mountain view |
|---|---|---|
| Population | 19,416 | 81,059 |
| Median Age | 43.6 years | 35.5 years |
| Median Income | $91,554 | $174,156 |
| Married Families | 43.0% | 43.0% |
| Poverty Level | 5% | 6% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Twinsburg vs Mountain view
- The population in Mountain view is higher at 81,059, compared to 19,416 in Twinsburg.
- Residents in Twinsburg have a higher median age of 43.6 years compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156, compared to $91,554 in Twinsburg.
- The percentage of married families is the same in both Twinsburg and Mountain view at 43.0%.
- The poverty level is higher in Mountain view at 6%, compared to 5% in Twinsburg.
- The unemployment rate in Twinsburg is higher at 4.2%, compared to 3.2% in Mountain view.
Demographics
Demographics Twinsburg vs Mountain view provide insight into the diversity of the communities to compare.
| Demographic | Twinsburg | Mountain view |
|---|---|---|
| Black | 17 | 2 |
| White | 69 | 32 |
| Asian | 7 | 34 |
| Hispanic | 3 | 19 |
| Two or More Races | 4 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Twinsburg vs Mountain view
- A higher percentage of Black residents are in Twinsburg at 17% compared to 2% in Mountain view.
- Twinsburg has a higher percentage of White residents at 69% compared to 32% in Mountain view.
- In Mountain view, the Asian population stands at 34%, greater than 7% in Twinsburg.
- Mountain view has a higher percentage of Hispanic residents at 19%, compared to 3% in Twinsburg.
- The percentage of residents identifying as two or more races is higher in Mountain view at 12%, compared to 4% in Twinsburg.
- In Mountain view, the percentage of American Indian residents is higher at 1%, compared to 0% in Twinsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Twinsburg | Mountain view |
|---|---|---|
| Mental Health Not Good | 15.1% | 11.7% |
| Physical Health Not Good | 9.3% | 7.1% |
| Depression | 22.4% | 14.7% |
| Smoking | 14.7% | 6.5% |
| Binge Drinking | 18.4% | 14.9% |
| Obesity | 38.9% | 19.1% |
| Disability Percentage | 9.0% | 6.0% |
Health Statistics Comparison: Twinsburg vs Mountain view
- More residents in Twinsburg report poor mental health at 15.1% compared to 11.7% in Mountain view.
- Depression is more prevalent in Twinsburg at 22.4% compared to 14.7% in Mountain view.
- Smoking is more prevalent in Twinsburg at 14.7% compared to 6.5% in Mountain view.
- Binge drinking is more common in Twinsburg at 18.4% compared to 14.9% in Mountain view.
- Obesity rates are higher in Twinsburg at 38.9% compared to 19.1% in Mountain view.
- Disability percentages are higher in Twinsburg at 9.0% compared to 6.0% in Mountain view.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Twinsburg | Mountain view |
|---|---|---|
| No Schooling | 0.7% (135) | 1.0% (826) |
| High School Diploma | 16.3% (3,173) | 4.9% (3,963) |
| Less than High School | 4.8% (931) | 7.1% (5,739) |
| Bachelor's Degree and Higher | 31.2% (6,065) | 54.5% (44,174) |
Education Levels Comparison: Twinsburg vs Mountain view
- In Mountain view, a larger percentage of residents lack formal schooling at 1.0% compared to 0.7% in Twinsburg.
- A higher percentage of residents in Twinsburg hold a high school diploma at 16.3% compared to 4.9% in Mountain view.
- The percentage of residents with less than a high school education is higher in Mountain view at 7.1%, compared to 4.8% in Twinsburg.
- In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% compared to 31.2% in Twinsburg.
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.