Demographics details for Orange cove, CA vs Whitehall, PA
Population Overview
Compare main population characteristics in Orange cove, CA vs Whitehall, PA.
| Data | Orange cove | Whitehall |
|---|---|---|
| Population | 9,525 | 14,785 |
| Median Age | 24.4 years | 44.8 years |
| Median Income | $33,671 | $77,752 |
| Married Families | 30.0% | 45.0% |
| Poverty Level | 26% | 8% |
| Unemployment Rate | 5.2 | 4.5 |
Population Comparison: Orange cove vs Whitehall
- The population in Whitehall is higher at 14,785, compared to 9,525 in Orange cove.
- The median age in Whitehall is higher at 44.8 years, compared to 24.4 years in Orange cove.
- Whitehall has a higher median income of $77,752, compared to $33,671 in Orange cove.
- In Whitehall, the percentage of married families is higher at 45.0%, compared to 30.0% in Orange cove.
- Orange cove has a higher poverty level at 26% compared to 8% in Whitehall.
- The unemployment rate in Orange cove is higher at 5.2%, compared to 4.5% in Whitehall.
Demographics
Demographics Orange cove vs Whitehall provide insight into the diversity of the communities to compare.
| Demographic | Orange cove | Whitehall |
|---|---|---|
| Black | 1 | 4 |
| White | -17 | 78 |
| Asian | Data is updating | 14 |
| Hispanic | 97 | 1 |
| Two or More Races | 19 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Orange cove vs Whitehall
- In Whitehall, the percentage of Black residents is higher at 4% compared to 1% in Orange cove.
- The percentage of White residents is higher in Whitehall at 78% compared to -17% in Orange cove.
- In Whitehall, the Asian population stands at 14%, greater than 0% in Orange cove.
- The Hispanic community is larger in Orange cove at 97% compared to 1% in Whitehall.
- More residents identify as two or more races in Orange cove at 19% compared to 3% in Whitehall.
- The percentage of American Indian residents is the same in both Orange cove and Whitehall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Orange cove | Whitehall |
|---|---|---|
| Mental Health Not Good | 21.3% | 15.5% |
| Physical Health Not Good | 20.7% | 10.3% |
| Depression | 19.2% | 22.0% |
| Smoking | 21.1% | 17.0% |
| Binge Drinking | 11.7% | 21.4% |
| Obesity | 46.7% | 30.9% |
| Disability Percentage | 7.0% | 15.0% |
Health Statistics Comparison: Orange cove vs Whitehall
- More residents in Orange cove report poor mental health at 21.3% compared to 15.5% in Whitehall.
- Higher depression rates are seen in Whitehall at 22.0% versus 19.2% in Orange cove.
- Smoking is more prevalent in Orange cove at 21.1% compared to 17.0% in Whitehall.
- More residents engage in binge drinking in Whitehall at 21.4% compared to 11.7% in Orange cove.
- Obesity rates are higher in Orange cove at 46.7% compared to 30.9% in Whitehall.
- There is a higher percentage of disabled individuals in Whitehall at 15.0% compared to 7.0% in Orange cove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Orange cove | Whitehall |
|---|---|---|
| No Schooling | 6.5% (617) | 2.0% (302) |
| High School Diploma | 8.0% (765) | 18.2% (2,688) |
| Less than High School | 55.1% (5,248) | 7.7% (1,141) |
| Bachelor's Degree and Higher | 3.3% (315) | 31.1% (4,603) |
Education Levels Comparison: Orange cove vs Whitehall
- A higher percentage of residents in Orange cove have no formal schooling at 6.5% compared to 2.0% in Whitehall.
- In Whitehall, the rate of residents with high school diplomas is higher at 18.2% compared to 8.0% in Orange cove.
- More residents in Orange cove have less than a high school education at 55.1% compared to 7.7% in Whitehall.
- In Whitehall, a larger share of residents have a bachelor's degree or higher at 31.1% compared to 3.3% in Orange cove.
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.