Demographics details for Oceanside, NY vs Yuma, AZ
Population Overview
Compare main population characteristics in Oceanside, NY vs Yuma, AZ.
| Data | Oceanside | Yuma |
|---|---|---|
| Population | 31,488 | 98,527 |
| Median Age | 45.8 years | 32.0 years |
| Median Income | $136,997 | $59,312 |
| Married Families | 50.0% | 39.0% |
| Poverty Level | 4% | 18% |
| Unemployment Rate | 3.2 | 9.0 |
Population Comparison: Oceanside vs Yuma
- The population in Yuma is higher at 98,527, compared to 31,488 in Oceanside.
- Residents in Oceanside have a higher median age of 45.8 years compared to 32.0 years in Yuma.
- Oceanside has a higher median income of $136,997 compared to $59,312 in Yuma.
- A higher percentage of married families is found in Oceanside at 50.0% compared to 39.0% in Yuma.
- The poverty level is higher in Yuma at 18%, compared to 4% in Oceanside.
- Yuma has a higher unemployment rate at 9.0% compared to 3.2% in Oceanside.
Demographics
Demographics Oceanside vs Yuma provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Yuma |
|---|---|---|
| Black | 3 | 2 |
| White | 71 | 13 |
| Asian | 3 | 2 |
| Hispanic | 16 | 61 |
| Two or More Races | 7 | 21 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Oceanside vs Yuma
- A higher percentage of Black residents are in Oceanside at 3% compared to 2% in Yuma.
- Oceanside has a higher percentage of White residents at 71% compared to 13% in Yuma.
- The Asian population is larger in Oceanside at 3% compared to 2% in Yuma.
- Yuma has a higher percentage of Hispanic residents at 61%, compared to 16% in Oceanside.
- The percentage of residents identifying as two or more races is higher in Yuma at 21%, compared to 7% in Oceanside.
- In Yuma, 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 | Yuma |
|---|---|---|
| Mental Health Not Good | 13.7% | 16.8% |
| Physical Health Not Good | 8.3% | 13.2% |
| Depression | 17.6% | 19.3% |
| Smoking | 11.7% | 16.2% |
| Binge Drinking | 18.5% | 17.6% |
| Obesity | 26.9% | 39.5% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Oceanside vs Yuma
- In Yuma, a higher percentage report poor mental health at 16.8% compared to 13.7% in Oceanside.
- Higher depression rates are seen in Yuma at 19.3% versus 17.6% in Oceanside.
- Yuma has a higher smoking rate at 16.2% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oceanside at 18.5% compared to 17.6% in Yuma.
- Yuma has higher obesity rates at 39.5% compared to 26.9% in Oceanside.
- There is a higher percentage of disabled individuals in Yuma 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 | Oceanside | Yuma |
|---|---|---|
| No Schooling | 0.8% (241) | 1.7% (1,642) |
| High School Diploma | 16.5% (5,186) | 13.2% (13,054) |
| Less than High School | 7.5% (2,349) | 19.8% (19,520) |
| Bachelor's Degree and Higher | 34.5% (10,876) | 12.3% (12,116) |
Education Levels Comparison: Oceanside vs Yuma
- In Yuma, a larger percentage of residents lack formal schooling at 1.7% compared to 0.8% in Oceanside.
- A higher percentage of residents in Oceanside hold a high school diploma at 16.5% compared to 13.2% in Yuma.
- The percentage of residents with less than a high school education is higher in Yuma at 19.8%, 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 12.3% in Yuma.
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.