Demographics details for Valley view, PA vs Manteca, CA
Population Overview
Compare main population characteristics in Valley view, PA vs Manteca, CA.
| Data | Valley view | Manteca |
|---|---|---|
| Population | 3,165 | 86,928 |
| Median Age | 36.8 years | 37.0 years |
| Median Income | $80,179 | $89,966 |
| Married Families | 43.0% | 38.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.0 | 5.7 |
Population Comparison: Valley view vs Manteca
- The population in Manteca is higher at 86,928, compared to 3,165 in Valley view.
- The median age in Manteca is higher at 37.0 years, compared to 36.8 years in Valley view.
- Manteca has a higher median income of $89,966, compared to $80,179 in Valley view.
- A higher percentage of married families is found in Valley view at 43.0% compared to 38.0% in Manteca.
- Valley view has a higher poverty level at 12% compared to 10% in Manteca.
- Manteca has a higher unemployment rate at 5.7% compared to 4.0% in Valley view.
Demographics
Demographics Valley view vs Manteca provide insight into the diversity of the communities to compare.
| Demographic | Valley view | Manteca |
|---|---|---|
| Black | 2 | 3 |
| White | 79 | 26 |
| Asian | 2 | 14 |
| Hispanic | 13 | 39 |
| Two or More Races | 3 | 17 |
| American Indian | 1 | 1 |
Demographics Comparison: Valley view vs Manteca
- In Manteca, the percentage of Black residents is higher at 3% compared to 2% in Valley view.
- Valley view has a higher percentage of White residents at 79% compared to 26% in Manteca.
- In Manteca, the Asian population stands at 14%, greater than 2% in Valley view.
- Manteca has a higher percentage of Hispanic residents at 39%, compared to 13% in Valley view.
- The percentage of residents identifying as two or more races is higher in Manteca at 17%, compared to 3% in Valley view.
- The percentage of American Indian residents is the same in both Valley view and Manteca at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Valley view | Manteca |
|---|---|---|
| Mental Health Not Good | 15.1% | 16.6% |
| Physical Health Not Good | 9.9% | 11.8% |
| Depression | 22.9% | 18.2% |
| Smoking | 14.6% | 13.8% |
| Binge Drinking | 18.3% | 16.6% |
| Obesity | 37.2% | 34.1% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Valley view vs Manteca
- In Manteca, a higher percentage report poor mental health at 16.6% compared to 15.1% in Valley view.
- Depression is more prevalent in Valley view at 22.9% compared to 18.2% in Manteca.
- Smoking is more prevalent in Valley view at 14.6% compared to 13.8% in Manteca.
- Binge drinking is more common in Valley view at 18.3% compared to 16.6% in Manteca.
- Obesity rates are higher in Valley view at 37.2% compared to 34.1% in Manteca.
- Disability percentages are higher in Valley view at 13.0% compared to 12.0% in Manteca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Valley view | Manteca |
|---|---|---|
| No Schooling | 0.9% (29) | 1.7% (1,490) |
| High School Diploma | 11.9% (378) | 17.0% (14,775) |
| Less than High School | 7.8% (247) | 16.5% (14,304) |
| Bachelor's Degree and Higher | 28.8% (913) | 12.4% (10,753) |
Education Levels Comparison: Valley view vs Manteca
- In Manteca, a larger percentage of residents lack formal schooling at 1.7% compared to 0.9% in Valley view.
- In Manteca, the rate of residents with high school diplomas is higher at 17.0% compared to 11.9% in Valley view.
- The percentage of residents with less than a high school education is higher in Manteca at 16.5%, compared to 7.8% in Valley view.
- A higher percentage of residents in Valley view hold a bachelor's degree or higher at 28.8% 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.