Demographics details for Vassar, KS vs Stuttgart, AR
Population Overview
Compare main population characteristics in Vassar, KS vs Stuttgart, AR.
| Data | Vassar | Stuttgart |
|---|---|---|
| Population | 882 | 7,907 |
| Median Age | 45.8 years | 37.8 years |
| Median Income | $85,670 | $59,124 |
| Married Families | 47.0% | 39.0% |
| Poverty Level | Data is updating | 18% |
| Unemployment Rate | 2.5 | 4.2 |
Population Comparison: Vassar vs Stuttgart
- The population in Stuttgart is higher at 7,907, compared to 882 in Vassar.
- Residents in Vassar have a higher median age of 45.8 years compared to 37.8 years in Stuttgart.
- Vassar has a higher median income of $85,670 compared to $59,124 in Stuttgart.
- A higher percentage of married families is found in Vassar at 47.0% compared to 39.0% in Stuttgart.
- The poverty level is higher in Stuttgart at 18%, compared to 0% in Vassar.
- Stuttgart has a higher unemployment rate at 4.2% compared to 2.5% in Vassar.
Demographics
Demographics Vassar vs Stuttgart provide insight into the diversity of the communities to compare.
| Demographic | Vassar | Stuttgart |
|---|---|---|
| Black | Data is updating | 42 |
| White | 90 | 53 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 2 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Vassar vs Stuttgart
- In Stuttgart, the percentage of Black residents is higher at 42% compared to 0% in Vassar.
- Vassar has a higher percentage of White residents at 90% compared to 53% in Stuttgart.
- Both Vassar and Stuttgart have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Vassar at 3% compared to 2% in Stuttgart.
- More residents identify as two or more races in Vassar at 7% compared to 3% in Stuttgart.
- The percentage of American Indian residents is the same in both Vassar and Stuttgart at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Vassar | Stuttgart |
|---|---|---|
| Mental Health Not Good | 16.2% | 19.8% |
| Physical Health Not Good | 9.9% | 14.6% |
| Depression | 20.5% | 24.4% |
| Smoking | 17.4% | 23.1% |
| Binge Drinking | 20.0% | 13.6% |
| Obesity | 42.2% | 39.7% |
| Disability Percentage | 18.0% | 20.0% |
Health Statistics Comparison: Vassar vs Stuttgart
- In Stuttgart, a higher percentage report poor mental health at 19.8% compared to 16.2% in Vassar.
- Higher depression rates are seen in Stuttgart at 24.4% versus 20.5% in Vassar.
- Stuttgart has a higher smoking rate at 23.1% compared to 17.4% in Vassar.
- Binge drinking is more common in Vassar at 20.0% compared to 13.6% in Stuttgart.
- Obesity rates are higher in Vassar at 42.2% compared to 39.7% in Stuttgart.
- There is a higher percentage of disabled individuals in Stuttgart at 20.0% compared to 18.0% in Vassar.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Vassar | Stuttgart |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (63) |
| High School Diploma | 17.8% (157) | 25.5% (2,015) |
| Less than High School | 5.2% (46) | 14.5% (1,144) |
| Bachelor's Degree and Higher | 17.7% (156) | 12.0% (948) |
Education Levels Comparison: Vassar vs Stuttgart
- In Stuttgart, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Vassar.
- In Stuttgart, the rate of residents with high school diplomas is higher at 25.5% compared to 17.8% in Vassar.
- The percentage of residents with less than a high school education is higher in Stuttgart at 14.5%, compared to 5.2% in Vassar.
- A higher percentage of residents in Vassar hold a bachelor's degree or higher at 17.7% compared to 12.0% in Stuttgart.
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.