Demographics details for Stuttgart, AR vs Richlands, NC
Population Overview
Compare main population characteristics in Stuttgart, AR vs Richlands, NC.
| Data | Stuttgart | Richlands |
|---|---|---|
| Population | 7,907 | 2,355 |
| Median Age | 37.8 years | 28.9 years |
| Median Income | $59,124 | $59,333 |
| Married Families | 39.0% | 41.0% |
| Poverty Level | 18% | 9% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Stuttgart vs Richlands
- In Stuttgart, the population is higher at 7,907, compared to 2,355 in Richlands.
- Residents in Stuttgart have a higher median age of 37.8 years compared to 28.9 years in Richlands.
- Richlands has a higher median income of $59,333, compared to $59,124 in Stuttgart.
- In Richlands, the percentage of married families is higher at 41.0%, compared to 39.0% in Stuttgart.
- Stuttgart has a higher poverty level at 18% compared to 9% in Richlands.
- Richlands has a higher unemployment rate at 4.5% compared to 4.2% in Stuttgart.
Demographics
Demographics Stuttgart vs Richlands provide insight into the diversity of the communities to compare.
| Demographic | Stuttgart | Richlands |
|---|---|---|
| Black | 42 | 17 |
| White | 53 | 65 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 10 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Stuttgart vs Richlands
- A higher percentage of Black residents are in Stuttgart at 42% compared to 17% in Richlands.
- The percentage of White residents is higher in Richlands at 65% compared to 53% in Stuttgart.
- In Richlands, the Asian population stands at 1%, greater than 0% in Stuttgart.
- Richlands 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 Richlands at 7%, compared to 3% in Stuttgart.
- The percentage of American Indian residents is the same in both Stuttgart and Richlands at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Stuttgart | Richlands |
|---|---|---|
| Mental Health Not Good | 19.8% | 16.5% |
| Physical Health Not Good | 14.6% | 10.7% |
| Depression | 24.4% | 23.5% |
| Smoking | 23.1% | 16.6% |
| Binge Drinking | 13.6% | 17.4% |
| Obesity | 39.7% | 36.7% |
| Disability Percentage | 20.0% | 11.0% |
Health Statistics Comparison: Stuttgart vs Richlands
- More residents in Stuttgart report poor mental health at 19.8% compared to 16.5% in Richlands.
- Depression is more prevalent in Stuttgart at 24.4% compared to 23.5% in Richlands.
- Smoking is more prevalent in Stuttgart at 23.1% compared to 16.6% in Richlands.
- More residents engage in binge drinking in Richlands at 17.4% compared to 13.6% in Stuttgart.
- Obesity rates are higher in Stuttgart at 39.7% compared to 36.7% in Richlands.
- Disability percentages are higher in Stuttgart at 20.0% compared to 11.0% in Richlands.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Stuttgart | Richlands |
|---|---|---|
| No Schooling | 0.8% (63) | 0.8% (20) |
| High School Diploma | 25.5% (2,015) | 18.9% (445) |
| Less than High School | 14.5% (1,144) | 11.6% (273) |
| Bachelor's Degree and Higher | 12.0% (948) | 17.3% (408) |
Education Levels Comparison: Stuttgart vs Richlands
- The percentage of residents with no formal schooling is the same in both Stuttgart and Richlands at 0.8%.
- A higher percentage of residents in Stuttgart hold a high school diploma at 25.5% compared to 18.9% in Richlands.
- More residents in Stuttgart have less than a high school education at 14.5% compared to 11.6% in Richlands.
- In Richlands, a larger share of residents have a bachelor's degree or higher at 17.3% 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.