Demographics details for Orange cove, CA vs Pulaski, WI
Population Overview
Compare main population characteristics in Orange cove, CA vs Pulaski, WI.
| Data | Orange cove | Pulaski |
|---|---|---|
| Population | 9,525 | 4,045 |
| Median Age | 24.4 years | 29.1 years |
| Median Income | $33,671 | $65,906 |
| Married Families | 30.0% | 28.0% |
| Poverty Level | 26% | 10% |
| Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Orange cove vs Pulaski
- In Orange cove, the population is higher at 9,525, compared to 4,045 in Pulaski.
- The median age in Pulaski is higher at 29.1 years, compared to 24.4 years in Orange cove.
- Pulaski has a higher median income of $65,906, compared to $33,671 in Orange cove.
- A higher percentage of married families is found in Orange cove at 30.0% compared to 28.0% in Pulaski.
- Orange cove has a higher poverty level at 26% compared to 10% in Pulaski.
- The unemployment rate in Orange cove is higher at 5.2%, compared to 3.5% in Pulaski.
Demographics
Demographics Orange cove vs Pulaski provide insight into the diversity of the communities to compare.
| Demographic | Orange cove | Pulaski |
|---|---|---|
| Black | 1 | 1 |
| White | -17 | 84 |
| Asian | Data is updating | 2 |
| Hispanic | 97 | 2 |
| Two or More Races | 19 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Orange cove vs Pulaski
- The percentage of Black residents is the same in both Orange cove and Pulaski at 1%.
- The percentage of White residents is higher in Pulaski at 84% compared to -17% in Orange cove.
- In Pulaski, the Asian population stands at 2%, greater than 0% in Orange cove.
- The Hispanic community is larger in Orange cove at 97% compared to 2% in Pulaski.
- More residents identify as two or more races in Orange cove at 19% compared to 10% in Pulaski.
- In Pulaski, the percentage of American Indian residents is higher at 1%, compared to 0% in Orange cove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Orange cove | Pulaski |
|---|---|---|
| Mental Health Not Good | 21.3% | 14.5% |
| Physical Health Not Good | 20.7% | 9.4% |
| Depression | 19.2% | 22.4% |
| Smoking | 21.1% | 14.6% |
| Binge Drinking | 11.7% | 24.7% |
| Obesity | 46.7% | 35.4% |
| Disability Percentage | 7.0% | 14.0% |
Health Statistics Comparison: Orange cove vs Pulaski
- More residents in Orange cove report poor mental health at 21.3% compared to 14.5% in Pulaski.
- Higher depression rates are seen in Pulaski at 22.4% versus 19.2% in Orange cove.
- Smoking is more prevalent in Orange cove at 21.1% compared to 14.6% in Pulaski.
- More residents engage in binge drinking in Pulaski at 24.7% compared to 11.7% in Orange cove.
- Obesity rates are higher in Orange cove at 46.7% compared to 35.4% in Pulaski.
- There is a higher percentage of disabled individuals in Pulaski at 14.0% 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 | Pulaski |
|---|---|---|
| No Schooling | 6.5% (617) | 0.4% (16) |
| High School Diploma | 8.0% (765) | 17.7% (715) |
| Less than High School | 55.1% (5,248) | 4.7% (191) |
| Bachelor's Degree and Higher | 3.3% (315) | 10.7% (432) |
Education Levels Comparison: Orange cove vs Pulaski
- A higher percentage of residents in Orange cove have no formal schooling at 6.5% compared to 0.4% in Pulaski.
- In Pulaski, the rate of residents with high school diplomas is higher at 17.7% compared to 8.0% in Orange cove.
- More residents in Orange cove have less than a high school education at 55.1% compared to 4.7% in Pulaski.
- In Pulaski, a larger share of residents have a bachelor's degree or higher at 10.7% 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.