Demographics details for Pollock pines, CA vs Dayton, OH
Population Overview
Compare main population characteristics in Pollock pines, CA vs Dayton, OH.
| Data | Pollock pines | Dayton |
|---|---|---|
| Population | 5,917 | 135,944 |
| Median Age | 45.8 years | 34.0 years |
| Median Income | $70,489 | $41,443 |
| Married Families | 44.0% | 21.0% |
| Poverty Level | 8% | 18% |
| Unemployment Rate | 4.5 | 6.8 |
Population Comparison: Pollock pines vs Dayton
- The population in Dayton is higher at 135,944, compared to 5,917 in Pollock pines.
- Residents in Pollock pines have a higher median age of 45.8 years compared to 34.0 years in Dayton.
- Pollock pines has a higher median income of $70,489 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Pollock pines at 44.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 8% in Pollock pines.
- Dayton has a higher unemployment rate at 6.8% compared to 4.5% in Pollock pines.
Demographics
Demographics Pollock pines vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Pollock pines | Dayton |
|---|---|---|
| Black | 2 | 38 |
| White | 83 | 50 |
| Asian | 1 | 1 |
| Hispanic | 9 | 5 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pollock pines vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 2% in Pollock pines.
- Pollock pines has a higher percentage of White residents at 83% compared to 50% in Dayton.
- Both Pollock pines and Dayton have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Pollock pines at 9% compared to 5% in Dayton.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 5% in Pollock pines.
- The percentage of American Indian residents is the same in both Pollock pines and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pollock pines | Dayton |
|---|---|---|
| Mental Health Not Good | 17.6% | 21.9% |
| Physical Health Not Good | 11.6% | 16.5% |
| Depression | 23.9% | 26.5% |
| Smoking | 14.5% | 26.0% |
| Binge Drinking | 18.3% | 15.2% |
| Obesity | 30.9% | 47.6% |
| Disability Percentage | 17.0% | 18.0% |
Health Statistics Comparison: Pollock pines vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 17.6% in Pollock pines.
- Higher depression rates are seen in Dayton at 26.5% versus 23.9% in Pollock pines.
- Dayton has a higher smoking rate at 26.0% compared to 14.5% in Pollock pines.
- Binge drinking is more common in Pollock pines at 18.3% compared to 15.2% in Dayton.
- Dayton has higher obesity rates at 47.6% compared to 30.9% in Pollock pines.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 17.0% in Pollock pines.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pollock pines | Dayton |
|---|---|---|
| No Schooling | 1.2% (73) | 0.9% (1,157) |
| High School Diploma | 19.6% (1,161) | 16.3% (22,101) |
| Less than High School | 11.1% (655) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 17.0% (1,008) | 12.7% (17,260) |
Education Levels Comparison: Pollock pines vs Dayton
- A higher percentage of residents in Pollock pines have no formal schooling at 1.2% compared to 0.9% in Dayton.
- A higher percentage of residents in Pollock pines hold a high school diploma at 19.6% compared to 16.3% in Dayton.
- The percentage of residents with less than a high school education is higher in Dayton at 13.9%, compared to 11.1% in Pollock pines.
- A higher percentage of residents in Pollock pines hold a bachelor's degree or higher at 17.0% compared to 12.7% in Dayton.
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.