Demographics details for Bertha, MN vs Sylvan beach, NY
Population Overview
Compare main population characteristics in Bertha, MN vs Sylvan beach, NY.
| Data | Bertha | Sylvan beach |
|---|---|---|
| Population | 554 | 885 |
| Median Age | 40.1 years | 50.1 years |
| Median Income | $51,094 | $48,125 |
| Married Families | 29.0% | 32.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Bertha vs Sylvan beach
- The population in Sylvan beach is higher at 885, compared to 554 in Bertha.
- The median age in Sylvan beach is higher at 50.1 years, compared to 40.1 years in Bertha.
- Bertha has a higher median income of $51,094 compared to $48,125 in Sylvan beach.
- In Sylvan beach, the percentage of married families is higher at 32.0%, compared to 29.0% in Bertha.
- The poverty level is higher in Sylvan beach at 10%, compared to 0% in Bertha.
- Sylvan beach has a higher unemployment rate at 4.5% compared to 3.2% in Bertha.
Demographics
Demographics Bertha vs Sylvan beach provide insight into the diversity of the communities to compare.
| Demographic | Bertha | Sylvan beach |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 95 | 94 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 1 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bertha vs Sylvan beach
- The percentage of Black residents is the same in both Bertha and Sylvan beach at 0%.
- Bertha has a higher percentage of White residents at 95% compared to 94% in Sylvan beach.
- In Sylvan beach, the Asian population stands at 1%, greater than 0% in Bertha.
- The percentage of Hispanic residents is the same in both Bertha and Sylvan beach at 1%.
- More residents identify as two or more races in Bertha at 4% compared to 3% in Sylvan beach.
- In Sylvan beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Bertha.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bertha | Sylvan beach |
|---|---|---|
| Mental Health Not Good | 17.1% | 17.8% |
| Physical Health Not Good | 10.8% | 11.8% |
| Depression | 25.8% | 26.8% |
| Smoking | 21.2% | 24.0% |
| Binge Drinking | 19.8% | 19.7% |
| Obesity | 39.4% | 36.2% |
| Disability Percentage | 20.0% | 20.0% |
Health Statistics Comparison: Bertha vs Sylvan beach
- In Sylvan beach, a higher percentage report poor mental health at 17.8% compared to 17.1% in Bertha.
- Higher depression rates are seen in Sylvan beach at 26.8% versus 25.8% in Bertha.
- Sylvan beach has a higher smoking rate at 24.0% compared to 21.2% in Bertha.
- Binge drinking is more common in Bertha at 19.8% compared to 19.7% in Sylvan beach.
- Obesity rates are higher in Bertha at 39.4% compared to 36.2% in Sylvan beach.
- Disability percentages are the same in both Bertha and Sylvan beach at 20.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bertha | Sylvan beach |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 14.8% (82) | 28.5% (252) |
| Less than High School | 14.3% (79) | 14.5% (128) |
| Bachelor's Degree and Higher | 10.6% (59) | 15.6% (138) |
Education Levels Comparison: Bertha vs Sylvan beach
- The percentage of residents with no formal schooling is the same in both Bertha and Sylvan beach at 0.0%.
- In Sylvan beach, the rate of residents with high school diplomas is higher at 28.5% compared to 14.8% in Bertha.
- The percentage of residents with less than a high school education is higher in Sylvan beach at 14.5%, compared to 14.3% in Bertha.
- In Sylvan beach, a larger share of residents have a bachelor's degree or higher at 15.6% compared to 10.6% in Bertha.
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.