Demographics details for Oceanside, NY vs Fairfield, CT
Population Overview
Compare main population characteristics in Oceanside, NY vs Fairfield, CT.
| Data | Oceanside | Fairfield |
|---|---|---|
| Population | 31,488 | 62,105 |
| Median Age | 45.8 years | 42.0 years |
| Median Income | $136,997 | $102,000 |
| Married Families | 50.0% | Data is updating |
| Poverty Level | 4% | 5% |
| Unemployment Rate | 3.2 | 2.9 |
Population Comparison: Oceanside vs Fairfield
- The population in Fairfield is higher at 62,105, compared to 31,488 in Oceanside.
- Residents in Oceanside have a higher median age of 45.8 years compared to 42.0 years in Fairfield.
- Oceanside has a higher median income of $136,997 compared to $102,000 in Fairfield.
- A higher percentage of married families is found in Oceanside at 50.0% compared to 0.0% in Fairfield.
- The poverty level is higher in Fairfield at 5%, compared to 4% in Oceanside.
- The unemployment rate in Oceanside is higher at 3.2%, compared to 2.9% in Fairfield.
Demographics
Demographics Oceanside vs Fairfield provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Fairfield |
|---|---|---|
| Black | 3 | 5 |
| White | 71 | 80 |
| Asian | 3 | 7 |
| Hispanic | 16 | 8 |
| Two or More Races | 7 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oceanside vs Fairfield
- In Fairfield, the percentage of Black residents is higher at 5% compared to 3% in Oceanside.
- The percentage of White residents is higher in Fairfield at 80% compared to 71% in Oceanside.
- In Fairfield, the Asian population stands at 7%, greater than 3% in Oceanside.
- The Hispanic community is larger in Oceanside at 16% compared to 8% in Fairfield.
- More residents identify as two or more races in Oceanside at 7% compared to 0% in Fairfield.
- The percentage of American Indian residents is the same in both Oceanside and Fairfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Fairfield |
|---|---|---|
| Mental Health Not Good | 13.7% | Data is updating% |
| Physical Health Not Good | 8.3% | Data is updating% |
| Depression | 17.6% | Data is updating% |
| Smoking | 11.7% | Data is updating% |
| Binge Drinking | 18.5% | Data is updating% |
| Obesity | 26.9% | Data is updating% |
| Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: Oceanside vs Fairfield
- More residents in Oceanside report poor mental health at 13.7% compared to 0.0% in Fairfield.
- Depression is more prevalent in Oceanside at 17.6% compared to 0.0% in Fairfield.
- Smoking is more prevalent in Oceanside at 11.7% compared to 0.0% in Fairfield.
- Binge drinking is more common in Oceanside at 18.5% compared to 0.0% in Fairfield.
- Obesity rates are higher in Oceanside at 26.9% compared to 0.0% in Fairfield.
- Disability percentages are higher in Oceanside at 9.0% compared to 0.0% in Fairfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | Fairfield |
|---|---|---|
| No Schooling | 0.8% (241) | 0.0% (Data is updating) |
| High School Diploma | 16.5% (5,186) | 0.0% (Data is updating) |
| Less than High School | 7.5% (2,349) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 34.5% (10,876) | 0.0% (Data is updating) |
Education Levels Comparison: Oceanside vs Fairfield
- A higher percentage of residents in Oceanside have no formal schooling at 0.8% compared to 0.0% in Fairfield.
- A higher percentage of residents in Oceanside hold a high school diploma at 16.5% compared to 0.0% in Fairfield.
- More residents in Oceanside have less than a high school education at 7.5% compared to 0.0% in Fairfield.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 34.5% compared to 0.0% in Fairfield.
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.