Demographics details for Rising city, NE vs Oceanside, NY
Population Overview
Compare main population characteristics in Rising city, NE vs Oceanside, NY.
| Data | Rising city | Oceanside |
|---|---|---|
| Population | 354 | 31,488 |
| Median Age | 44.3 years | 45.8 years |
| Median Income | $81,477 | $136,997 |
| Married Families | 45.0% | 50.0% |
| Poverty Level | 9% | 4% |
| Unemployment Rate | 2.7 | 3.2 |
Population Comparison: Rising city vs Oceanside
- The population in Oceanside is higher at 31,488, compared to 354 in Rising city.
- The median age in Oceanside is higher at 45.8 years, compared to 44.3 years in Rising city.
- Oceanside has a higher median income of $136,997, compared to $81,477 in Rising city.
- In Oceanside, the percentage of married families is higher at 50.0%, compared to 45.0% in Rising city.
- Rising city has a higher poverty level at 9% compared to 4% in Oceanside.
- Oceanside has a higher unemployment rate at 3.2% compared to 2.7% in Rising city.
Demographics
Demographics Rising city vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Rising city | Oceanside |
|---|---|---|
| Black | Data is updating | 3 |
| White | 98 | 71 |
| Asian | Data is updating | 3 |
| Hispanic | 2 | 16 |
| Two or More Races | Data is updating | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rising city vs Oceanside
- In Oceanside, the percentage of Black residents is higher at 3% compared to 0% in Rising city.
- Rising city has a higher percentage of White residents at 98% compared to 71% in Oceanside.
- In Oceanside, the Asian population stands at 3%, greater than 0% in Rising city.
- Oceanside has a higher percentage of Hispanic residents at 16%, compared to 2% in Rising city.
- The percentage of residents identifying as two or more races is higher in Oceanside at 7%, compared to 0% in Rising city.
- The percentage of American Indian residents is the same in both Rising city and Oceanside at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rising city | Oceanside |
|---|---|---|
| Mental Health Not Good | 13.5% | 13.7% |
| Physical Health Not Good | 9.2% | 8.3% |
| Depression | 16.0% | 17.6% |
| Smoking | 16.3% | 11.7% |
| Binge Drinking | 23.1% | 18.5% |
| Obesity | 40.3% | 26.9% |
| Disability Percentage | 13.0% | 9.0% |
Health Statistics Comparison: Rising city vs Oceanside
- In Oceanside, a higher percentage report poor mental health at 13.7% compared to 13.5% in Rising city.
- Higher depression rates are seen in Oceanside at 17.6% versus 16.0% in Rising city.
- Smoking is more prevalent in Rising city at 16.3% compared to 11.7% in Oceanside.
- Binge drinking is more common in Rising city at 23.1% compared to 18.5% in Oceanside.
- Obesity rates are higher in Rising city at 40.3% compared to 26.9% in Oceanside.
- Disability percentages are higher in Rising city at 13.0% 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 | Rising city | Oceanside |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (241) |
| High School Diploma | 19.8% (70) | 16.5% (5,186) |
| Less than High School | 9.6% (34) | 7.5% (2,349) |
| Bachelor's Degree and Higher | 7.6% (27) | 34.5% (10,876) |
Education Levels Comparison: Rising city vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Rising city.
- A higher percentage of residents in Rising city hold a high school diploma at 19.8% compared to 16.5% in Oceanside.
- More residents in Rising city have less than a high school education at 9.6% compared to 7.5% in Oceanside.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 34.5% compared to 7.6% in Rising 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.