Demographics details for Oceanside, NY vs Prescott, AZ
Population Overview
Compare main population characteristics in Oceanside, NY vs Prescott, AZ.
| Data | Oceanside | Prescott |
|---|---|---|
| Population | 31,488 | 47,603 |
| Median Age | 45.8 years | 60.5 years |
| Median Income | $136,997 | $66,330 |
| Married Families | 50.0% | 47.0% |
| Poverty Level | 4% | 10% |
| Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Oceanside vs Prescott
- The population in Prescott is higher at 47,603, compared to 31,488 in Oceanside.
- The median age in Prescott is higher at 60.5 years, compared to 45.8 years in Oceanside.
- Oceanside has a higher median income of $136,997 compared to $66,330 in Prescott.
- A higher percentage of married families is found in Oceanside at 50.0% compared to 47.0% in Prescott.
- The poverty level is higher in Prescott at 10%, compared to 4% in Oceanside.
- Prescott has a higher unemployment rate at 4.0% compared to 3.2% in Oceanside.
Demographics
Demographics Oceanside vs Prescott provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Prescott |
|---|---|---|
| Black | 3 | 1 |
| White | 71 | 84 |
| Asian | 3 | 2 |
| Hispanic | 16 | 8 |
| Two or More Races | 7 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Oceanside vs Prescott
- A higher percentage of Black residents are in Oceanside at 3% compared to 1% in Prescott.
- The percentage of White residents is higher in Prescott at 84% compared to 71% in Oceanside.
- The Asian population is larger in Oceanside at 3% compared to 2% in Prescott.
- The Hispanic community is larger in Oceanside at 16% compared to 8% in Prescott.
- More residents identify as two or more races in Oceanside at 7% compared to 4% in Prescott.
- In Prescott, 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 | Prescott |
|---|---|---|
| Mental Health Not Good | 13.7% | 16.8% |
| Physical Health Not Good | 8.3% | 10.1% |
| Depression | 17.6% | 21.7% |
| Smoking | 11.7% | 14.9% |
| Binge Drinking | 18.5% | 17.5% |
| Obesity | 26.9% | 26.1% |
| Disability Percentage | 9.0% | 17.0% |
Health Statistics Comparison: Oceanside vs Prescott
- In Prescott, a higher percentage report poor mental health at 16.8% compared to 13.7% in Oceanside.
- Higher depression rates are seen in Prescott at 21.7% versus 17.6% in Oceanside.
- Prescott has a higher smoking rate at 14.9% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oceanside at 18.5% compared to 17.5% in Prescott.
- Obesity rates are higher in Oceanside at 26.9% compared to 26.1% in Prescott.
- There is a higher percentage of disabled individuals in Prescott at 17.0% 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 | Prescott |
|---|---|---|
| No Schooling | 0.8% (241) | 0.3% (139) |
| High School Diploma | 16.5% (5,186) | 12.1% (5,770) |
| Less than High School | 7.5% (2,349) | 6.2% (2,941) |
| Bachelor's Degree and Higher | 34.5% (10,876) | 31.1% (14,785) |
Education Levels Comparison: Oceanside vs Prescott
- A higher percentage of residents in Oceanside have no formal schooling at 0.8% compared to 0.3% in Prescott.
- A higher percentage of residents in Oceanside hold a high school diploma at 16.5% compared to 12.1% in Prescott.
- More residents in Oceanside have less than a high school education at 7.5% compared to 6.2% in Prescott.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 34.5% compared to 31.1% in Prescott.
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.