Demographics details for Oceanside, NY vs Tulsa, OK
Population Overview
Compare main population characteristics in Oceanside, NY vs Tulsa, OK.
| Data | Oceanside | Tulsa |
|---|---|---|
| Population | 31,488 | 411,867 |
| Median Age | 45.8 years | 35.6 years |
| Median Income | $136,997 | $56,648 |
| Married Families | 50.0% | 33.0% |
| Poverty Level | 4% | 16% |
| Unemployment Rate | 3.2 | 3.9 |
Population Comparison: Oceanside vs Tulsa
- The population in Tulsa is higher at 411,867, compared to 31,488 in Oceanside.
- Residents in Oceanside have a higher median age of 45.8 years compared to 35.6 years in Tulsa.
- Oceanside has a higher median income of $136,997 compared to $56,648 in Tulsa.
- A higher percentage of married families is found in Oceanside at 50.0% compared to 33.0% in Tulsa.
- The poverty level is higher in Tulsa at 16%, compared to 4% in Oceanside.
- Tulsa has a higher unemployment rate at 3.9% compared to 3.2% in Oceanside.
Demographics
Demographics Oceanside vs Tulsa provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Tulsa |
|---|---|---|
| Black | 3 | 15 |
| White | 71 | 48 |
| Asian | 3 | 3 |
| Hispanic | 16 | 17 |
| Two or More Races | 7 | 13 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Oceanside vs Tulsa
- In Tulsa, the percentage of Black residents is higher at 15% compared to 3% in Oceanside.
- Oceanside has a higher percentage of White residents at 71% compared to 48% in Tulsa.
- Both Oceanside and Tulsa have the same percentage of Asian residents at 3%.
- Tulsa has a higher percentage of Hispanic residents at 17%, compared to 16% in Oceanside.
- The percentage of residents identifying as two or more races is higher in Tulsa at 13%, compared to 7% in Oceanside.
- In Tulsa, the percentage of American Indian residents is higher at 4%, compared to 0% in Oceanside.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Tulsa |
|---|---|---|
| Mental Health Not Good | 13.7% | 18.6% |
| Physical Health Not Good | 8.3% | 12.7% |
| Depression | 17.6% | 25.2% |
| Smoking | 11.7% | 18.7% |
| Binge Drinking | 18.5% | 13.3% |
| Obesity | 26.9% | 38.1% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Oceanside vs Tulsa
- In Tulsa, a higher percentage report poor mental health at 18.6% compared to 13.7% in Oceanside.
- Higher depression rates are seen in Tulsa at 25.2% versus 17.6% in Oceanside.
- Tulsa has a higher smoking rate at 18.7% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oceanside at 18.5% compared to 13.3% in Tulsa.
- Tulsa has higher obesity rates at 38.1% compared to 26.9% in Oceanside.
- There is a higher percentage of disabled individuals in Tulsa at 14.0% 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 | Tulsa |
|---|---|---|
| No Schooling | 0.8% (241) | 1.2% (5,029) |
| High School Diploma | 16.5% (5,186) | 14.0% (57,640) |
| Less than High School | 7.5% (2,349) | 13.8% (56,774) |
| Bachelor's Degree and Higher | 34.5% (10,876) | 21.7% (89,557) |
Education Levels Comparison: Oceanside vs Tulsa
- In Tulsa, a larger percentage of residents lack formal schooling at 1.2% compared to 0.8% in Oceanside.
- A higher percentage of residents in Oceanside hold a high school diploma at 16.5% compared to 14.0% in Tulsa.
- The percentage of residents with less than a high school education is higher in Tulsa at 13.8%, 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 21.7% in Tulsa.
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.