Demographics details for Oakley, CA vs Upper darby, PA
Population Overview
Compare main population characteristics in Oakley, CA vs Upper darby, PA.
| Data | Oakley | Upper darby |
|---|---|---|
| Population | 44,688 | 85,217 |
| Median Age | 35.8 years | 35.7 years |
| Median Income | $120,915 | $67,579 |
| Married Families | 42.0% | 34.0% |
| Poverty Level | 7% | 9% |
| Unemployment Rate | 5.6 | 5.2 |
Population Comparison: Oakley vs Upper darby
- The population in Upper darby is higher at 85,217, compared to 44,688 in Oakley.
- Residents in Oakley have a higher median age of 35.8 years compared to 35.7 years in Upper darby.
- Oakley has a higher median income of $120,915 compared to $67,579 in Upper darby.
- A higher percentage of married families is found in Oakley at 42.0% compared to 34.0% in Upper darby.
- The poverty level is higher in Upper darby at 9%, compared to 7% in Oakley.
- The unemployment rate in Oakley is higher at 5.6%, compared to 5.2% in Upper darby.
Demographics
Demographics Oakley vs Upper darby provide insight into the diversity of the communities to compare.
| Demographic | Oakley | Upper darby |
|---|---|---|
| Black | 8 | 34 |
| White | 38 | 39 |
| Asian | 8 | 12 |
| Hispanic | 31 | 9 |
| Two or More Races | 14 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Oakley vs Upper darby
- In Upper darby, the percentage of Black residents is higher at 34% compared to 8% in Oakley.
- The percentage of White residents is higher in Upper darby at 39% compared to 38% in Oakley.
- In Upper darby, the Asian population stands at 12%, greater than 8% in Oakley.
- The Hispanic community is larger in Oakley at 31% compared to 9% in Upper darby.
- More residents identify as two or more races in Oakley at 14% compared to 6% in Upper darby.
- A greater percentage of American Indian residents live in Oakley at 1% compared to 0% in Upper darby.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oakley | Upper darby |
|---|---|---|
| Mental Health Not Good | 15.8% | Data is updating% |
| Physical Health Not Good | 10.9% | Data is updating% |
| Depression | 18.5% | Data is updating% |
| Smoking | 12.0% | Data is updating% |
| Binge Drinking | 17.5% | Data is updating% |
| Obesity | 27.3% | Data is updating% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Oakley vs Upper darby
- More residents in Oakley report poor mental health at 15.8% compared to 0.0% in Upper darby.
- Depression is more prevalent in Oakley at 18.5% compared to 0.0% in Upper darby.
- Smoking is more prevalent in Oakley at 12.0% compared to 0.0% in Upper darby.
- Binge drinking is more common in Oakley at 17.5% compared to 0.0% in Upper darby.
- Obesity rates are higher in Oakley at 27.3% compared to 0.0% in Upper darby.
- There is a higher percentage of disabled individuals in Upper darby at 12.0% compared to 11.0% in Oakley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oakley | Upper darby |
|---|---|---|
| No Schooling | 0.8% (374) | 1.4% (1,162) |
| High School Diploma | 15.8% (7,057) | 17.6% (14,973) |
| Less than High School | 12.8% (5,710) | 10.3% (8,806) |
| Bachelor's Degree and Higher | 14.4% (6,428) | 22.2% (18,927) |
Education Levels Comparison: Oakley vs Upper darby
- In Upper darby, a larger percentage of residents lack formal schooling at 1.4% compared to 0.8% in Oakley.
- In Upper darby, the rate of residents with high school diplomas is higher at 17.6% compared to 15.8% in Oakley.
- More residents in Oakley have less than a high school education at 12.8% compared to 10.3% in Upper darby.
- In Upper darby, a larger share of residents have a bachelor's degree or higher at 22.2% compared to 14.4% in Oakley.
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.