Demographics details for Oceanside, NY vs Surprise, AZ
Population Overview
Compare main population characteristics in Oceanside, NY vs Surprise, AZ.
| Data | Oceanside | Surprise |
|---|---|---|
| Population | 31,488 | 154,198 |
| Median Age | 45.8 years | 41.5 years |
| Median Income | $136,997 | $87,756 |
| Married Families | 50.0% | 44.0% |
| Poverty Level | 4% | 13% |
| Unemployment Rate | 3.2 | 3.9 |
Population Comparison: Oceanside vs Surprise
- The population in Surprise is higher at 154,198, compared to 31,488 in Oceanside.
- Residents in Oceanside have a higher median age of 45.8 years compared to 41.5 years in Surprise.
- Oceanside has a higher median income of $136,997 compared to $87,756 in Surprise.
- A higher percentage of married families is found in Oceanside at 50.0% compared to 44.0% in Surprise.
- The poverty level is higher in Surprise at 13%, compared to 4% in Oceanside.
- Surprise has a higher unemployment rate at 3.9% compared to 3.2% in Oceanside.
Demographics
Demographics Oceanside vs Surprise provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Surprise |
|---|---|---|
| Black | 3 | 5 |
| White | 71 | 63 |
| Asian | 3 | 2 |
| Hispanic | 16 | 20 |
| Two or More Races | 7 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Oceanside vs Surprise
- In Surprise, the percentage of Black residents is higher at 5% compared to 3% in Oceanside.
- Oceanside has a higher percentage of White residents at 71% compared to 63% in Surprise.
- The Asian population is larger in Oceanside at 3% compared to 2% in Surprise.
- Surprise has a higher percentage of Hispanic residents at 20%, compared to 16% in Oceanside.
- The percentage of residents identifying as two or more races is higher in Surprise at 9%, compared to 7% in Oceanside.
- In Surprise, the percentage of American Indian residents is higher at 1%, compared to 0% in Oceanside.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Surprise |
|---|---|---|
| Mental Health Not Good | 13.7% | 17.0% |
| Physical Health Not Good | 8.3% | 10.1% |
| Depression | 17.6% | 20.1% |
| Smoking | 11.7% | 14.4% |
| Binge Drinking | 18.5% | 18.5% |
| Obesity | 26.9% | 30.1% |
| Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Oceanside vs Surprise
- In Surprise, a higher percentage report poor mental health at 17.0% compared to 13.7% in Oceanside.
- Higher depression rates are seen in Surprise at 20.1% versus 17.6% in Oceanside.
- Surprise has a higher smoking rate at 14.4% compared to 11.7% in Oceanside.
- Binge drinking rates are similar in both Oceanside and Surprise at 18.5%.
- Surprise has higher obesity rates at 30.1% compared to 26.9% in Oceanside.
- There is a higher percentage of disabled individuals in Surprise at 11.0% 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 | Oceanside | Surprise |
|---|---|---|
| No Schooling | 0.8% (241) | 0.5% (754) |
| High School Diploma | 16.5% (5,186) | 13.7% (21,050) |
| Less than High School | 7.5% (2,349) | 7.6% (11,792) |
| Bachelor's Degree and Higher | 34.5% (10,876) | 19.9% (30,735) |
Education Levels Comparison: Oceanside vs Surprise
- A higher percentage of residents in Oceanside have no formal schooling at 0.8% compared to 0.5% in Surprise.
- A higher percentage of residents in Oceanside hold a high school diploma at 16.5% compared to 13.7% in Surprise.
- The percentage of residents with less than a high school education is higher in Surprise at 7.6%, compared to 7.5% in Oceanside.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 34.5% compared to 19.9% in Surprise.
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.