Demographics details for Sylvan beach, NY vs Sand lake, MI
Population Overview
Compare main population characteristics in Sylvan beach, NY vs Sand lake, MI.
Data | Sylvan beach | Sand lake |
---|---|---|
Population | 885 | 1,178 |
Median Age | 50.1 years | 59.6 years |
Median Income | $48,125 | $46,250 |
Married Families | 32.0% | 52.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 4.5 | 4.1 |
Population Comparison: Sylvan beach vs Sand lake
- The population in Sand lake is higher at 1,178, compared to 885 in Sylvan beach.
- The median age in Sand lake is higher at 59.6 years, compared to 50.1 years in Sylvan beach.
- Sylvan beach has a higher median income of $48,125 compared to $46,250 in Sand lake.
- In Sand lake, the percentage of married families is higher at 52.0%, compared to 32.0% in Sylvan beach.
- Sylvan beach has a higher poverty level at 10% compared to 9% in Sand lake.
- The unemployment rate in Sylvan beach is higher at 4.5%, compared to 4.1% in Sand lake.
Demographics
Demographics Sylvan beach vs Sand lake provide insight into the diversity of the communities to compare.
Demographic | Sylvan beach | Sand lake |
---|---|---|
Black | Data is updating | Data is updating |
White | 94 | 96 |
Asian | 1 | Data is updating |
Hispanic | 1 | 2 |
Two or More Races | 3 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Sylvan beach vs Sand lake
- The percentage of Black residents is the same in both Sylvan beach and Sand lake at 0%.
- The percentage of White residents is higher in Sand lake at 96% compared to 94% in Sylvan beach.
- The Asian population is larger in Sylvan beach at 1% compared to 0% in Sand lake.
- Sand lake has a higher percentage of Hispanic residents at 2%, compared to 1% in Sylvan beach.
- More residents identify as two or more races in Sylvan beach at 3% compared to 2% in Sand lake.
- A greater percentage of American Indian residents live in Sylvan beach at 1% compared to 0% in Sand lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sylvan beach | Sand lake |
---|---|---|
Mental Health Not Good | 17.8% | 20.1% |
Physical Health Not Good | 11.8% | 13.7% |
Depression | 26.8% | 28.1% |
Smoking | 24.0% | 24.0% |
Binge Drinking | 19.7% | 17.8% |
Obesity | 36.2% | 40.1% |
Disability Percentage | 20.0% | 28.0% |
Health Statistics Comparison: Sylvan beach vs Sand lake
- In Sand lake, a higher percentage report poor mental health at 20.1% compared to 17.8% in Sylvan beach.
- Higher depression rates are seen in Sand lake at 28.1% versus 26.8% in Sylvan beach.
- Smoking rates are the same in both Sylvan beach and Sand lake at 24.0%.
- Binge drinking is more common in Sylvan beach at 19.7% compared to 17.8% in Sand lake.
- Sand lake has higher obesity rates at 40.1% compared to 36.2% in Sylvan beach.
- There is a higher percentage of disabled individuals in Sand lake at 28.0% compared to 20.0% in Sylvan beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sylvan beach | Sand lake |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.6% (7) |
High School Diploma | 28.5% (252) | 27.5% (324) |
Less than High School | 14.5% (128) | 22.1% (260) |
Bachelor's Degree and Higher | 15.6% (138) | 12.4% (146) |
Education Levels Comparison: Sylvan beach vs Sand lake
- In Sand lake, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Sylvan beach.
- A higher percentage of residents in Sylvan beach hold a high school diploma at 28.5% compared to 27.5% in Sand lake.
- The percentage of residents with less than a high school education is higher in Sand lake at 22.1%, compared to 14.5% in Sylvan beach.
- A higher percentage of residents in Sylvan beach hold a bachelor's degree or higher at 15.6% compared to 12.4% in Sand lake.
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.