Demographics details for Oregon city, OR vs Oceanside, NY
Population Overview
Compare main population characteristics in Oregon city, OR vs Oceanside, NY.
| Data | Oregon city | Oceanside |
|---|---|---|
| Population | 37,327 | 31,488 |
| Median Age | 37.1 years | 45.8 years |
| Median Income | $90,174 | $136,997 |
| Married Families | 41.0% | 50.0% |
| Poverty Level | 7% | 4% |
| Unemployment Rate | 3.7 | 3.2 |
Population Comparison: Oregon city vs Oceanside
- In Oregon city, the population is higher at 37,327, compared to 31,488 in Oceanside.
- The median age in Oceanside is higher at 45.8 years, compared to 37.1 years in Oregon city.
- Oceanside has a higher median income of $136,997, compared to $90,174 in Oregon city.
- In Oceanside, the percentage of married families is higher at 50.0%, compared to 41.0% in Oregon city.
- Oregon city has a higher poverty level at 7% compared to 4% in Oceanside.
- The unemployment rate in Oregon city is higher at 3.7%, compared to 3.2% in Oceanside.
Demographics
Demographics Oregon city vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Oregon city | Oceanside |
|---|---|---|
| Black | 1 | 3 |
| White | 87 | 71 |
| Asian | 2 | 3 |
| Hispanic | 5 | 16 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oregon city vs Oceanside
- In Oceanside, the percentage of Black residents is higher at 3% compared to 1% in Oregon city.
- Oregon city has a higher percentage of White residents at 87% compared to 71% in Oceanside.
- In Oceanside, the Asian population stands at 3%, greater than 2% in Oregon city.
- Oceanside has a higher percentage of Hispanic residents at 16%, compared to 5% in Oregon city.
- The percentage of residents identifying as two or more races is higher in Oceanside at 7%, compared to 5% in Oregon city.
- The percentage of American Indian residents is the same in both Oregon city and Oceanside at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oregon city | Oceanside |
|---|---|---|
| Mental Health Not Good | 17.1% | 13.7% |
| Physical Health Not Good | 10.0% | 8.3% |
| Depression | 26.6% | 17.6% |
| Smoking | 13.9% | 11.7% |
| Binge Drinking | 19.5% | 18.5% |
| Obesity | 32.7% | 26.9% |
| Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Oregon city vs Oceanside
- More residents in Oregon city report poor mental health at 17.1% compared to 13.7% in Oceanside.
- Depression is more prevalent in Oregon city at 26.6% compared to 17.6% in Oceanside.
- Smoking is more prevalent in Oregon city at 13.9% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oregon city at 19.5% compared to 18.5% in Oceanside.
- Obesity rates are higher in Oregon city at 32.7% compared to 26.9% in Oceanside.
- Disability percentages are higher in Oregon city at 12.0% compared to 9.0% in Oceanside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oregon city | Oceanside |
|---|---|---|
| No Schooling | 0.2% (86) | 0.8% (241) |
| High School Diploma | 15.5% (5,800) | 16.5% (5,186) |
| Less than High School | 7.1% (2,666) | 7.5% (2,349) |
| Bachelor's Degree and Higher | 21.2% (7,901) | 34.5% (10,876) |
Education Levels Comparison: Oregon city vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 0.8% compared to 0.2% in Oregon city.
- In Oceanside, the rate of residents with high school diplomas is higher at 16.5% compared to 15.5% in Oregon city.
- The percentage of residents with less than a high school education is higher in Oceanside at 7.5%, compared to 7.1% in Oregon city.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 34.5% compared to 21.2% in Oregon city.
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.