Demographics details for Crum lynne, PA vs Oxnard, CA
Population Overview
Compare main population characteristics in Crum lynne, PA vs Oxnard, CA.
| Data | Crum lynne | Oxnard |
|---|---|---|
| Population | 735 | 200,415 |
| Median Age | 38.0 years | 33.5 years |
| Median Income | $60,000 | $90,409 |
| Married Families | 50.0% | 34.0% |
| Poverty Level | 12% | 11% |
| Unemployment Rate | 4.0 | 4.9 |
Population Comparison: Crum lynne vs Oxnard
- The population in Oxnard is higher at 200,415, compared to 735 in Crum lynne.
- Residents in Crum lynne have a higher median age of 38.0 years compared to 33.5 years in Oxnard.
- Oxnard has a higher median income of $90,409, compared to $60,000 in Crum lynne.
- A higher percentage of married families is found in Crum lynne at 50.0% compared to 34.0% in Oxnard.
- Crum lynne has a higher poverty level at 12% compared to 11% in Oxnard.
- Oxnard has a higher unemployment rate at 4.9% compared to 4.0% in Crum lynne.
Demographics
Demographics Crum lynne vs Oxnard provide insight into the diversity of the communities to compare.
| Demographic | Crum lynne | Oxnard |
|---|---|---|
| Black | 5 | 2 |
| White | 90 | -16 |
| Asian | 2 | 7 |
| Hispanic | 1 | 77 |
| Two or More Races | 2 | 27 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Crum lynne vs Oxnard
- A higher percentage of Black residents are in Crum lynne at 5% compared to 2% in Oxnard.
- Crum lynne has a higher percentage of White residents at 90% compared to -16% in Oxnard.
- In Oxnard, the Asian population stands at 7%, greater than 2% in Crum lynne.
- Oxnard has a higher percentage of Hispanic residents at 77%, compared to 1% in Crum lynne.
- The percentage of residents identifying as two or more races is higher in Oxnard at 27%, compared to 2% in Crum lynne.
- In Oxnard, the percentage of American Indian residents is higher at 3%, compared to 0% in Crum lynne.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Crum lynne | Oxnard |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.8% |
| Physical Health Not Good | Data is updating% | 13.1% |
| Depression | Data is updating% | 17.0% |
| Smoking | Data is updating% | 13.2% |
| Binge Drinking | Data is updating% | 15.1% |
| Obesity | Data is updating% | 30.3% |
| Disability Percentage | Data is updating% | 9.0% |
Health Statistics Comparison: Crum lynne vs Oxnard
- In Oxnard, a higher percentage report poor mental health at 15.8% compared to 0.0% in Crum lynne.
- Higher depression rates are seen in Oxnard at 17.0% versus 0.0% in Crum lynne.
- Oxnard has a higher smoking rate at 13.2% compared to 0.0% in Crum lynne.
- More residents engage in binge drinking in Oxnard at 15.1% compared to 0.0% in Crum lynne.
- Oxnard has higher obesity rates at 30.3% compared to 0.0% in Crum lynne.
- There is a higher percentage of disabled individuals in Oxnard at 9.0% compared to 0.0% in Crum lynne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Crum lynne | Oxnard |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.5% (7,053) |
| High School Diploma | 0.0% (Data is updating) | 15.0% (30,118) |
| Less than High School | 0.0% (Data is updating) | 38.1% (76,346) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.3% (24,627) |
Education Levels Comparison: Crum lynne vs Oxnard
- In Oxnard, a larger percentage of residents lack formal schooling at 3.5% compared to 0.0% in Crum lynne.
- In Oxnard, the rate of residents with high school diplomas is higher at 15.0% compared to 0.0% in Crum lynne.
- The percentage of residents with less than a high school education is higher in Oxnard at 38.1%, compared to 0.0% in Crum lynne.
- In Oxnard, a larger share of residents have a bachelor's degree or higher at 12.3% compared to 0.0% in Crum lynne.
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.