Demographics details for Twinsburg, OH vs Manteca, CA
Population Overview
Compare main population characteristics in Twinsburg, OH vs Manteca, CA.
| Data | Twinsburg | Manteca |
|---|---|---|
| Population | 19,416 | 86,928 |
| Median Age | 43.6 years | 37.0 years |
| Median Income | $91,554 | $89,966 |
| Married Families | 43.0% | 38.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 4.2 | 5.7 |
Population Comparison: Twinsburg vs Manteca
- The population in Manteca is higher at 86,928, compared to 19,416 in Twinsburg.
- Residents in Twinsburg have a higher median age of 43.6 years compared to 37.0 years in Manteca.
- Twinsburg has a higher median income of $91,554 compared to $89,966 in Manteca.
- A higher percentage of married families is found in Twinsburg at 43.0% compared to 38.0% in Manteca.
- The poverty level is higher in Manteca at 10%, compared to 5% in Twinsburg.
- Manteca has a higher unemployment rate at 5.7% compared to 4.2% in Twinsburg.
Demographics
Demographics Twinsburg vs Manteca provide insight into the diversity of the communities to compare.
| Demographic | Twinsburg | Manteca |
|---|---|---|
| Black | 17 | 3 |
| White | 69 | 26 |
| Asian | 7 | 14 |
| Hispanic | 3 | 39 |
| Two or More Races | 4 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Twinsburg vs Manteca
- A higher percentage of Black residents are in Twinsburg at 17% compared to 3% in Manteca.
- Twinsburg has a higher percentage of White residents at 69% compared to 26% in Manteca.
- In Manteca, the Asian population stands at 14%, greater than 7% in Twinsburg.
- Manteca has a higher percentage of Hispanic residents at 39%, compared to 3% in Twinsburg.
- The percentage of residents identifying as two or more races is higher in Manteca at 17%, compared to 4% in Twinsburg.
- In Manteca, 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 | Manteca |
|---|---|---|
| Mental Health Not Good | 15.1% | 16.6% |
| Physical Health Not Good | 9.3% | 11.8% |
| Depression | 22.4% | 18.2% |
| Smoking | 14.7% | 13.8% |
| Binge Drinking | 18.4% | 16.6% |
| Obesity | 38.9% | 34.1% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Twinsburg vs Manteca
- In Manteca, a higher percentage report poor mental health at 16.6% compared to 15.1% in Twinsburg.
- Depression is more prevalent in Twinsburg at 22.4% compared to 18.2% in Manteca.
- Smoking is more prevalent in Twinsburg at 14.7% compared to 13.8% in Manteca.
- Binge drinking is more common in Twinsburg at 18.4% compared to 16.6% in Manteca.
- Obesity rates are higher in Twinsburg at 38.9% compared to 34.1% in Manteca.
- There is a higher percentage of disabled individuals in Manteca at 12.0% compared to 9.0% in Twinsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Twinsburg | Manteca |
|---|---|---|
| No Schooling | 0.7% (135) | 1.7% (1,490) |
| High School Diploma | 16.3% (3,173) | 17.0% (14,775) |
| Less than High School | 4.8% (931) | 16.5% (14,304) |
| Bachelor's Degree and Higher | 31.2% (6,065) | 12.4% (10,753) |
Education Levels Comparison: Twinsburg vs Manteca
- In Manteca, a larger percentage of residents lack formal schooling at 1.7% compared to 0.7% in Twinsburg.
- In Manteca, the rate of residents with high school diplomas is higher at 17.0% compared to 16.3% in Twinsburg.
- The percentage of residents with less than a high school education is higher in Manteca at 16.5%, compared to 4.8% in Twinsburg.
- A higher percentage of residents in Twinsburg hold a bachelor's degree or higher at 31.2% compared to 12.4% in Manteca.
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.