Demographics details for Oceanside, CA vs West chester, PA
Population Overview
Compare main population characteristics in Oceanside, CA vs West chester, PA.
| Data | Oceanside | West chester |
|---|---|---|
| Population | 172,199 | 19,531 |
| Median Age | 37.5 years | 24.6 years |
| Median Income | $86,701 | $71,875 |
| Married Families | 41.0% | 17.0% |
| Poverty Level | 9% | 8% |
| Unemployment Rate | 4.6 | 4.2 |
Population Comparison: Oceanside vs West chester
- In Oceanside, the population is higher at 172,199, compared to 19,531 in West chester.
- Residents in Oceanside have a higher median age of 37.5 years compared to 24.6 years in West chester.
- Oceanside has a higher median income of $86,701 compared to $71,875 in West chester.
- A higher percentage of married families is found in Oceanside at 41.0% compared to 17.0% in West chester.
- Oceanside has a higher poverty level at 9% compared to 8% in West chester.
- The unemployment rate in Oceanside is higher at 4.6%, compared to 4.2% in West chester.
Demographics
Demographics Oceanside vs West chester provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | West chester |
|---|---|---|
| Black | 4 | 14 |
| White | 31 | 69 |
| Asian | 7 | 2 |
| Hispanic | 38 | 11 |
| Two or More Races | 19 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Oceanside vs West chester
- In West chester, the percentage of Black residents is higher at 14% compared to 4% in Oceanside.
- The percentage of White residents is higher in West chester at 69% compared to 31% in Oceanside.
- The Asian population is larger in Oceanside at 7% compared to 2% in West chester.
- The Hispanic community is larger in Oceanside at 38% compared to 11% in West chester.
- More residents identify as two or more races in Oceanside at 19% compared to 4% in West chester.
- A greater percentage of American Indian residents live in Oceanside at 1% compared to 0% in West chester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | West chester |
|---|---|---|
| Mental Health Not Good | 16.2% | 15.6% |
| Physical Health Not Good | 10.9% | 11.0% |
| Depression | 17.9% | 22.0% |
| Smoking | 11.7% | 15.0% |
| Binge Drinking | 18.9% | 16.9% |
| Obesity | 25.0% | 37.3% |
| Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Oceanside vs West chester
- More residents in Oceanside report poor mental health at 16.2% compared to 15.6% in West chester.
- Higher depression rates are seen in West chester at 22.0% versus 17.9% in Oceanside.
- West chester has a higher smoking rate at 15.0% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oceanside at 18.9% compared to 16.9% in West chester.
- West chester has higher obesity rates at 37.3% compared to 25.0% in Oceanside.
- Disability percentages are higher in Oceanside at 12.0% compared to 9.0% in West chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | West chester |
|---|---|---|
| No Schooling | 1.7% (2,927) | 0.1% (23) |
| High School Diploma | 12.0% (20,662) | 8.7% (1,706) |
| Less than High School | 17.7% (30,528) | 4.6% (904) |
| Bachelor's Degree and Higher | 23.5% (40,490) | 26.1% (5,097) |
Education Levels Comparison: Oceanside vs West chester
- A higher percentage of residents in Oceanside have no formal schooling at 1.7% compared to 0.1% in West chester.
- A higher percentage of residents in Oceanside hold a high school diploma at 12.0% compared to 8.7% in West chester.
- More residents in Oceanside have less than a high school education at 17.7% compared to 4.6% in West chester.
- In West chester, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 23.5% in Oceanside.
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.