Demographics details for Oceanside, NY vs Bristol, TN
Population Overview
Compare main population characteristics in Oceanside, NY vs Bristol, TN.
| Data | Oceanside | Bristol |
|---|---|---|
| Population | 31,488 | 27,705 |
| Median Age | 45.8 years | 40.2 years |
| Median Income | $136,997 | $49,130 |
| Married Families | 50.0% | 37.0% |
| Poverty Level | 4% | 14% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Oceanside vs Bristol
- In Oceanside, the population is higher at 31,488, compared to 27,705 in Bristol.
- Residents in Oceanside have a higher median age of 45.8 years compared to 40.2 years in Bristol.
- Oceanside has a higher median income of $136,997 compared to $49,130 in Bristol.
- A higher percentage of married families is found in Oceanside at 50.0% compared to 37.0% in Bristol.
- The poverty level is higher in Bristol at 14%, compared to 4% in Oceanside.
- Bristol has a higher unemployment rate at 4.2% compared to 3.2% in Oceanside.
Demographics
Demographics Oceanside vs Bristol provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Bristol |
|---|---|---|
| Black | 3 | 3 |
| White | 71 | 89 |
| Asian | 3 | Data is updating |
| Hispanic | 16 | 3 |
| Two or More Races | 7 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oceanside vs Bristol
- The percentage of Black residents is the same in both Oceanside and Bristol at 3%.
- The percentage of White residents is higher in Bristol at 89% compared to 71% in Oceanside.
- The Asian population is larger in Oceanside at 3% compared to 0% in Bristol.
- The Hispanic community is larger in Oceanside at 16% compared to 3% in Bristol.
- More residents identify as two or more races in Oceanside at 7% compared to 5% in Bristol.
- The percentage of American Indian residents is the same in both Oceanside and Bristol at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Bristol |
|---|---|---|
| Mental Health Not Good | 13.7% | 20.5% |
| Physical Health Not Good | 8.3% | 14.0% |
| Depression | 17.6% | 31.0% |
| Smoking | 11.7% | 22.4% |
| Binge Drinking | 18.5% | 13.8% |
| Obesity | 26.9% | 37.2% |
| Disability Percentage | 9.0% | 18.0% |
Health Statistics Comparison: Oceanside vs Bristol
- In Bristol, a higher percentage report poor mental health at 20.5% compared to 13.7% in Oceanside.
- Higher depression rates are seen in Bristol at 31.0% versus 17.6% in Oceanside.
- Bristol has a higher smoking rate at 22.4% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oceanside at 18.5% compared to 13.8% in Bristol.
- Bristol has higher obesity rates at 37.2% compared to 26.9% in Oceanside.
- There is a higher percentage of disabled individuals in Bristol at 18.0% 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 | Bristol |
|---|---|---|
| No Schooling | 0.8% (241) | 0.6% (171) |
| High School Diploma | 16.5% (5,186) | 16.3% (4,505) |
| Less than High School | 7.5% (2,349) | 10.0% (2,781) |
| Bachelor's Degree and Higher | 34.5% (10,876) | 20.2% (5,590) |
Education Levels Comparison: Oceanside vs Bristol
- A higher percentage of residents in Oceanside have no formal schooling at 0.8% compared to 0.6% in Bristol.
- A higher percentage of residents in Oceanside hold a high school diploma at 16.5% compared to 16.3% in Bristol.
- The percentage of residents with less than a high school education is higher in Bristol at 10.0%, 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 20.2% in Bristol.
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.