Demographics details for Savage, MN vs South holland, IL
Population Overview
Compare main population characteristics in Savage, MN vs South holland, IL.
| Data | Savage | South holland |
|---|---|---|
| Population | 32,893 | 20,685 |
| Median Age | 37.5 years | 42.6 years |
| Median Income | $123,069 | $79,567 |
| Married Families | 47.0% | 34.0% |
| Poverty Level | 4% | 10% |
| Unemployment Rate | 3.3 | 5.2 |
Population Comparison: Savage vs South holland
- In Savage, the population is higher at 32,893, compared to 20,685 in South holland.
- The median age in South holland is higher at 42.6 years, compared to 37.5 years in Savage.
- Savage has a higher median income of $123,069 compared to $79,567 in South holland.
- A higher percentage of married families is found in Savage at 47.0% compared to 34.0% in South holland.
- The poverty level is higher in South holland at 10%, compared to 4% in Savage.
- South holland has a higher unemployment rate at 5.2% compared to 3.3% in Savage.
Demographics
Demographics Savage vs South holland provide insight into the diversity of the communities to compare.
| Demographic | Savage | South holland |
|---|---|---|
| Black | 9 | 83 |
| White | 74 | 8 |
| Asian | 7 | 1 |
| Hispanic | 5 | 5 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Savage vs South holland
- In South holland, the percentage of Black residents is higher at 83% compared to 9% in Savage.
- Savage has a higher percentage of White residents at 74% compared to 8% in South holland.
- The Asian population is larger in Savage at 7% compared to 1% in South holland.
- The percentage of Hispanic residents is the same in both Savage and South holland at 5%.
- More residents identify as two or more races in Savage at 5% compared to 3% in South holland.
- The percentage of American Indian residents is the same in both Savage and South holland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Savage | South holland |
|---|---|---|
| Mental Health Not Good | 12.1% | 14.8% |
| Physical Health Not Good | 7.5% | 10.9% |
| Depression | 20.5% | 15.1% |
| Smoking | 12.0% | 15.3% |
| Binge Drinking | 18.9% | 15.6% |
| Obesity | 32.4% | 37.3% |
| Disability Percentage | 7.0% | 13.0% |
Health Statistics Comparison: Savage vs South holland
- In South holland, a higher percentage report poor mental health at 14.8% compared to 12.1% in Savage.
- Depression is more prevalent in Savage at 20.5% compared to 15.1% in South holland.
- South holland has a higher smoking rate at 15.3% compared to 12.0% in Savage.
- Binge drinking is more common in Savage at 18.9% compared to 15.6% in South holland.
- South holland has higher obesity rates at 37.3% compared to 32.4% in Savage.
- There is a higher percentage of disabled individuals in South holland at 13.0% compared to 7.0% in Savage.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Savage | South holland |
|---|---|---|
| No Schooling | 0.9% (303) | 0.5% (94) |
| High School Diploma | 9.0% (2,949) | 15.5% (3,210) |
| Less than High School | 3.3% (1,095) | 7.8% (1,623) |
| Bachelor's Degree and Higher | 34.5% (11,339) | 20.0% (4,142) |
Education Levels Comparison: Savage vs South holland
- A higher percentage of residents in Savage have no formal schooling at 0.9% compared to 0.5% in South holland.
- In South holland, the rate of residents with high school diplomas is higher at 15.5% compared to 9.0% in Savage.
- The percentage of residents with less than a high school education is higher in South holland at 7.8%, compared to 3.3% in Savage.
- A higher percentage of residents in Savage hold a bachelor's degree or higher at 34.5% compared to 20.0% in South holland.
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.