Demographics details for Oceanside, NY vs Merrill, MI
Population Overview
Compare main population characteristics in Oceanside, NY vs Merrill, MI.
| Data | Oceanside | Merrill |
|---|---|---|
| Population | 31,488 | 678 |
| Median Age | 45.8 years | 38.4 years |
| Median Income | $136,997 | $43,523 |
| Married Families | 50.0% | 55.0% |
| Poverty Level | 4% | 12% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Oceanside vs Merrill
- In Oceanside, the population is higher at 31,488, compared to 678 in Merrill.
- Residents in Oceanside have a higher median age of 45.8 years compared to 38.4 years in Merrill.
- Oceanside has a higher median income of $136,997 compared to $43,523 in Merrill.
- In Merrill, the percentage of married families is higher at 55.0%, compared to 50.0% in Oceanside.
- The poverty level is higher in Merrill at 12%, compared to 4% in Oceanside.
- Merrill has a higher unemployment rate at 4.5% compared to 3.2% in Oceanside.
Demographics
Demographics Oceanside vs Merrill provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Merrill |
|---|---|---|
| Black | 3 | 1 |
| White | 71 | 30 |
| Asian | 3 | Data is updating |
| Hispanic | 16 | 38 |
| Two or More Races | 7 | 31 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oceanside vs Merrill
- A higher percentage of Black residents are in Oceanside at 3% compared to 1% in Merrill.
- Oceanside has a higher percentage of White residents at 71% compared to 30% in Merrill.
- The Asian population is larger in Oceanside at 3% compared to 0% in Merrill.
- Merrill has a higher percentage of Hispanic residents at 38%, compared to 16% in Oceanside.
- The percentage of residents identifying as two or more races is higher in Merrill at 31%, compared to 7% in Oceanside.
- The percentage of American Indian residents is the same in both Oceanside and Merrill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Merrill |
|---|---|---|
| Mental Health Not Good | 13.7% | 17.6% |
| Physical Health Not Good | 8.3% | 11.4% |
| Depression | 17.6% | 24.6% |
| Smoking | 11.7% | 18.2% |
| Binge Drinking | 18.5% | 18.4% |
| Obesity | 26.9% | 40.0% |
| Disability Percentage | 9.0% | 19.0% |
Health Statistics Comparison: Oceanside vs Merrill
- In Merrill, a higher percentage report poor mental health at 17.6% compared to 13.7% in Oceanside.
- Higher depression rates are seen in Merrill at 24.6% versus 17.6% in Oceanside.
- Merrill has a higher smoking rate at 18.2% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oceanside at 18.5% compared to 18.4% in Merrill.
- Merrill has higher obesity rates at 40.0% compared to 26.9% in Oceanside.
- There is a higher percentage of disabled individuals in Merrill at 19.0% 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 | Merrill |
|---|---|---|
| No Schooling | 0.8% (241) | 0.0% (Data is updating) |
| High School Diploma | 16.5% (5,186) | 48.5% (329) |
| Less than High School | 7.5% (2,349) | 5.9% (40) |
| Bachelor's Degree and Higher | 34.5% (10,876) | 10.9% (74) |
Education Levels Comparison: Oceanside vs Merrill
- A higher percentage of residents in Oceanside have no formal schooling at 0.8% compared to 0.0% in Merrill.
- In Merrill, the rate of residents with high school diplomas is higher at 48.5% compared to 16.5% in Oceanside.
- More residents in Oceanside have less than a high school education at 7.5% compared to 5.9% in Merrill.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 34.5% compared to 10.9% in Merrill.
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.