Demographics details for Stuttgart, AR vs Woodland, PA
Population Overview
Compare main population characteristics in Stuttgart, AR vs Woodland, PA.
| Data | Stuttgart | Woodland |
|---|---|---|
| Population | 7,907 | 185 |
| Median Age | 37.8 years | 36.0 years |
| Median Income | $59,124 | $55,000 |
| Married Families | 39.0% | 30.0% |
| Poverty Level | 18% | 10% |
| Unemployment Rate | 4.2 | 5.0 |
Population Comparison: Stuttgart vs Woodland
- In Stuttgart, the population is higher at 7,907, compared to 185 in Woodland.
- Residents in Stuttgart have a higher median age of 37.8 years compared to 36.0 years in Woodland.
- Stuttgart has a higher median income of $59,124 compared to $55,000 in Woodland.
- A higher percentage of married families is found in Stuttgart at 39.0% compared to 30.0% in Woodland.
- Stuttgart has a higher poverty level at 18% compared to 10% in Woodland.
- Woodland has a higher unemployment rate at 5.0% compared to 4.2% in Stuttgart.
Demographics
Demographics Stuttgart vs Woodland provide insight into the diversity of the communities to compare.
| Demographic | Stuttgart | Woodland |
|---|---|---|
| Black | 42 | 3 |
| White | 53 | 92 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 1 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Stuttgart vs Woodland
- A higher percentage of Black residents are in Stuttgart at 42% compared to 3% in Woodland.
- The percentage of White residents is higher in Woodland at 92% compared to 53% in Stuttgart.
- In Woodland, the Asian population stands at 2%, greater than 0% in Stuttgart.
- The Hispanic community is larger in Stuttgart at 2% compared to 1% in Woodland.
- More residents identify as two or more races in Stuttgart at 3% compared to 2% in Woodland.
- The percentage of American Indian residents is the same in both Stuttgart and Woodland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Stuttgart | Woodland |
|---|---|---|
| Mental Health Not Good | 19.8% | Data is updating% |
| Physical Health Not Good | 14.6% | Data is updating% |
| Depression | 24.4% | Data is updating% |
| Smoking | 23.1% | Data is updating% |
| Binge Drinking | 13.6% | Data is updating% |
| Obesity | 39.7% | Data is updating% |
| Disability Percentage | 20.0% | Data is updating% |
Health Statistics Comparison: Stuttgart vs Woodland
- More residents in Stuttgart report poor mental health at 19.8% compared to 0.0% in Woodland.
- Depression is more prevalent in Stuttgart at 24.4% compared to 0.0% in Woodland.
- Smoking is more prevalent in Stuttgart at 23.1% compared to 0.0% in Woodland.
- Binge drinking is more common in Stuttgart at 13.6% compared to 0.0% in Woodland.
- Obesity rates are higher in Stuttgart at 39.7% compared to 0.0% in Woodland.
- Disability percentages are higher in Stuttgart at 20.0% compared to 0.0% in Woodland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Stuttgart | Woodland |
|---|---|---|
| No Schooling | 0.8% (63) | 0.0% (Data is updating) |
| High School Diploma | 25.5% (2,015) | 0.0% (Data is updating) |
| Less than High School | 14.5% (1,144) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 12.0% (948) | 0.0% (Data is updating) |
Education Levels Comparison: Stuttgart vs Woodland
- A higher percentage of residents in Stuttgart have no formal schooling at 0.8% compared to 0.0% in Woodland.
- A higher percentage of residents in Stuttgart hold a high school diploma at 25.5% compared to 0.0% in Woodland.
- More residents in Stuttgart have less than a high school education at 14.5% compared to 0.0% in Woodland.
- A higher percentage of residents in Stuttgart hold a bachelor's degree or higher at 12.0% compared to 0.0% in Woodland.
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.