Demographics details for Stuttgart, AR vs Greenwood, SC
Population Overview
Compare main population characteristics in Stuttgart, AR vs Greenwood, SC.
| Data | Stuttgart | Greenwood |
|---|---|---|
| Population | 7,907 | 22,454 |
| Median Age | 37.8 years | 32.7 years |
| Median Income | $59,124 | $38,884 |
| Married Families | 39.0% | 21.0% |
| Poverty Level | 18% | 17% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Stuttgart vs Greenwood
- The population in Greenwood is higher at 22,454, compared to 7,907 in Stuttgart.
- Residents in Stuttgart have a higher median age of 37.8 years compared to 32.7 years in Greenwood.
- Stuttgart has a higher median income of $59,124 compared to $38,884 in Greenwood.
- A higher percentage of married families is found in Stuttgart at 39.0% compared to 21.0% in Greenwood.
- Stuttgart has a higher poverty level at 18% compared to 17% in Greenwood.
- The unemployment rate in Stuttgart is higher at 4.2%, compared to 4.1% in Greenwood.
Demographics
Demographics Stuttgart vs Greenwood provide insight into the diversity of the communities to compare.
| Demographic | Stuttgart | Greenwood |
|---|---|---|
| Black | 42 | 48 |
| White | 53 | 36 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 10 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Stuttgart vs Greenwood
- In Greenwood, the percentage of Black residents is higher at 48% compared to 42% in Stuttgart.
- Stuttgart has a higher percentage of White residents at 53% compared to 36% in Greenwood.
- In Greenwood, the Asian population stands at 1%, greater than 0% in Stuttgart.
- Greenwood has a higher percentage of Hispanic residents at 10%, compared to 2% in Stuttgart.
- The percentage of residents identifying as two or more races is higher in Greenwood at 5%, compared to 3% in Stuttgart.
- The percentage of American Indian residents is the same in both Stuttgart and Greenwood at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Stuttgart | Greenwood |
|---|---|---|
| Mental Health Not Good | 19.8% | 19.0% |
| Physical Health Not Good | 14.6% | 13.8% |
| Depression | 24.4% | 21.1% |
| Smoking | 23.1% | 20.8% |
| Binge Drinking | 13.6% | 14.1% |
| Obesity | 39.7% | 42.7% |
| Disability Percentage | 20.0% | 11.0% |
Health Statistics Comparison: Stuttgart vs Greenwood
- More residents in Stuttgart report poor mental health at 19.8% compared to 19.0% in Greenwood.
- Depression is more prevalent in Stuttgart at 24.4% compared to 21.1% in Greenwood.
- Smoking is more prevalent in Stuttgart at 23.1% compared to 20.8% in Greenwood.
- More residents engage in binge drinking in Greenwood at 14.1% compared to 13.6% in Stuttgart.
- Greenwood has higher obesity rates at 42.7% compared to 39.7% in Stuttgart.
- Disability percentages are higher in Stuttgart at 20.0% compared to 11.0% in Greenwood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Stuttgart | Greenwood |
|---|---|---|
| No Schooling | 0.8% (63) | 1.7% (383) |
| High School Diploma | 25.5% (2,015) | 18.1% (4,053) |
| Less than High School | 14.5% (1,144) | 16.0% (3,589) |
| Bachelor's Degree and Higher | 12.0% (948) | 12.8% (2,882) |
Education Levels Comparison: Stuttgart vs Greenwood
- In Greenwood, a larger percentage of residents lack formal schooling at 1.7% compared to 0.8% in Stuttgart.
- A higher percentage of residents in Stuttgart hold a high school diploma at 25.5% compared to 18.1% in Greenwood.
- The percentage of residents with less than a high school education is higher in Greenwood at 16.0%, compared to 14.5% in Stuttgart.
- In Greenwood, a larger share of residents have a bachelor's degree or higher at 12.8% 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.