Demographics details for Oceanside, CA vs Chalfont, PA
Population Overview
Compare main population characteristics in Oceanside, CA vs Chalfont, PA.
| Data | Oceanside | Chalfont |
|---|---|---|
| Population | 172,199 | 4,283 |
| Median Age | 37.5 years | 41.7 years |
| Median Income | $86,701 | $118,871 |
| Married Families | 41.0% | 40.0% |
| Poverty Level | 9% | 2% |
| Unemployment Rate | 4.6 | 3.4 |
Population Comparison: Oceanside vs Chalfont
- In Oceanside, the population is higher at 172,199, compared to 4,283 in Chalfont.
- The median age in Chalfont is higher at 41.7 years, compared to 37.5 years in Oceanside.
- Chalfont has a higher median income of $118,871, compared to $86,701 in Oceanside.
- A higher percentage of married families is found in Oceanside at 41.0% compared to 40.0% in Chalfont.
- Oceanside has a higher poverty level at 9% compared to 2% in Chalfont.
- The unemployment rate in Oceanside is higher at 4.6%, compared to 3.4% in Chalfont.
Demographics
Demographics Oceanside vs Chalfont provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Chalfont |
|---|---|---|
| Black | 4 | Data is updating |
| White | 31 | 88 |
| Asian | 7 | 4 |
| Hispanic | 38 | 4 |
| Two or More Races | 19 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Oceanside vs Chalfont
- A higher percentage of Black residents are in Oceanside at 4% compared to 0% in Chalfont.
- The percentage of White residents is higher in Chalfont at 88% compared to 31% in Oceanside.
- The Asian population is larger in Oceanside at 7% compared to 4% in Chalfont.
- The Hispanic community is larger in Oceanside at 38% compared to 4% in Chalfont.
- More residents identify as two or more races in Oceanside at 19% compared to 4% in Chalfont.
- A greater percentage of American Indian residents live in Oceanside at 1% compared to 0% in Chalfont.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Chalfont |
|---|---|---|
| Mental Health Not Good | 16.2% | 13.8% |
| Physical Health Not Good | 10.9% | 7.8% |
| Depression | 17.9% | 22.1% |
| Smoking | 11.7% | 12.6% |
| Binge Drinking | 18.9% | 20.5% |
| Obesity | 25.0% | 29.5% |
| Disability Percentage | 12.0% | 7.0% |
Health Statistics Comparison: Oceanside vs Chalfont
- More residents in Oceanside report poor mental health at 16.2% compared to 13.8% in Chalfont.
- Higher depression rates are seen in Chalfont at 22.1% versus 17.9% in Oceanside.
- Chalfont has a higher smoking rate at 12.6% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Chalfont at 20.5% compared to 18.9% in Oceanside.
- Chalfont has higher obesity rates at 29.5% compared to 25.0% in Oceanside.
- Disability percentages are higher in Oceanside at 12.0% compared to 7.0% in Chalfont.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | Chalfont |
|---|---|---|
| No Schooling | 1.7% (2,927) | 0.0% (Data is updating) |
| High School Diploma | 12.0% (20,662) | 11.2% (479) |
| Less than High School | 17.7% (30,528) | 2.3% (98) |
| Bachelor's Degree and Higher | 23.5% (40,490) | 42.7% (1,830) |
Education Levels Comparison: Oceanside vs Chalfont
- A higher percentage of residents in Oceanside have no formal schooling at 1.7% compared to 0.0% in Chalfont.
- A higher percentage of residents in Oceanside hold a high school diploma at 12.0% compared to 11.2% in Chalfont.
- More residents in Oceanside have less than a high school education at 17.7% compared to 2.3% in Chalfont.
- In Chalfont, a larger share of residents have a bachelor's degree or higher at 42.7% 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.