Demographics details for Savage, MN vs Diamond point, NY
Population Overview
Compare main population characteristics in Savage, MN vs Diamond point, NY.
Data | Savage | Diamond point |
---|---|---|
Population | 32,893 | 247 |
Median Age | 37.5 years | 58.0 years |
Median Income | $123,069 | $60,000 |
Married Families | 47.0% | 80.0% |
Poverty Level | 4% | 5% |
Unemployment Rate | 3.3 | 4.0 |
Population Comparison: Savage vs Diamond point
- In Savage, the population is higher at 32,893, compared to 247 in Diamond point.
- The median age in Diamond point is higher at 58.0 years, compared to 37.5 years in Savage.
- Savage has a higher median income of $123,069 compared to $60,000 in Diamond point.
- In Diamond point, the percentage of married families is higher at 80.0%, compared to 47.0% in Savage.
- The poverty level is higher in Diamond point at 5%, compared to 4% in Savage.
- Diamond point has a higher unemployment rate at 4.0% compared to 3.3% in Savage.
Demographics
Demographics Savage vs Diamond point provide insight into the diversity of the communities to compare.
Demographic | Savage | Diamond point |
---|---|---|
Black | 9 | Data is updating |
White | 74 | 95 |
Asian | 7 | Data is updating |
Hispanic | 5 | 3 |
Two or More Races | 5 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Savage vs Diamond point
- A higher percentage of Black residents are in Savage at 9% compared to 0% in Diamond point.
- The percentage of White residents is higher in Diamond point at 95% compared to 74% in Savage.
- The Asian population is larger in Savage at 7% compared to 0% in Diamond point.
- The Hispanic community is larger in Savage at 5% compared to 3% in Diamond point.
- More residents identify as two or more races in Savage at 5% compared to 2% in Diamond point.
- The percentage of American Indian residents is the same in both Savage and Diamond point at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Savage | Diamond point |
---|---|---|
Mental Health Not Good | 12.1% | Data is updating% |
Physical Health Not Good | 7.5% | Data is updating% |
Depression | 20.5% | Data is updating% |
Smoking | 12.0% | Data is updating% |
Binge Drinking | 18.9% | Data is updating% |
Obesity | 32.4% | Data is updating% |
Disability Percentage | 7.0% | Data is updating% |
Health Statistics Comparison: Savage vs Diamond point
- More residents in Savage report poor mental health at 12.1% compared to 0.0% in Diamond point.
- Depression is more prevalent in Savage at 20.5% compared to 0.0% in Diamond point.
- Smoking is more prevalent in Savage at 12.0% compared to 0.0% in Diamond point.
- Binge drinking is more common in Savage at 18.9% compared to 0.0% in Diamond point.
- Obesity rates are higher in Savage at 32.4% compared to 0.0% in Diamond point.
- Disability percentages are higher in Savage at 7.0% compared to 0.0% in Diamond point.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Savage | Diamond point |
---|---|---|
No Schooling | 0.9% (303) | 0.0% (Data is updating) |
High School Diploma | 9.0% (2,949) | 0.0% (Data is updating) |
Less than High School | 3.3% (1,095) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 34.5% (11,339) | 0.0% (Data is updating) |
Education Levels Comparison: Savage vs Diamond point
- A higher percentage of residents in Savage have no formal schooling at 0.9% compared to 0.0% in Diamond point.
- A higher percentage of residents in Savage hold a high school diploma at 9.0% compared to 0.0% in Diamond point.
- More residents in Savage have less than a high school education at 3.3% compared to 0.0% in Diamond point.
- A higher percentage of residents in Savage hold a bachelor's degree or higher at 34.5% compared to 0.0% in Diamond point.
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.