Demographics details for Saucier, MS vs Stuttgart, AR
Population Overview
Compare main population characteristics in Saucier, MS vs Stuttgart, AR.
| Data | Saucier | Stuttgart |
|---|---|---|
| Population | 1,199 | 7,907 |
| Median Age | 41.3 years | 37.8 years |
| Median Income | $67,742 | $59,124 |
| Married Families | 32.0% | 39.0% |
| Poverty Level | 11% | 18% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Saucier vs Stuttgart
- The population in Stuttgart is higher at 7,907, compared to 1,199 in Saucier.
- Residents in Saucier have a higher median age of 41.3 years compared to 37.8 years in Stuttgart.
- Saucier has a higher median income of $67,742 compared to $59,124 in Stuttgart.
- In Stuttgart, the percentage of married families is higher at 39.0%, compared to 32.0% in Saucier.
- The poverty level is higher in Stuttgart at 18%, compared to 11% in Saucier.
- The unemployment rate is the same in both Saucier and Stuttgart at 4.2%.
Demographics
Demographics Saucier vs Stuttgart provide insight into the diversity of the communities to compare.
| Demographic | Saucier | Stuttgart |
|---|---|---|
| Black | Data is updating | 42 |
| White | 100 | 53 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 2 |
| Two or More Races | Data is updating | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Saucier vs Stuttgart
- In Stuttgart, the percentage of Black residents is higher at 42% compared to 0% in Saucier.
- Saucier has a higher percentage of White residents at 100% compared to 53% in Stuttgart.
- Both Saucier and Stuttgart have the same percentage of Asian residents at 0%.
- Stuttgart has a higher percentage of Hispanic residents at 2%, compared to 0% in Saucier.
- The percentage of residents identifying as two or more races is higher in Stuttgart at 3%, compared to 0% in Saucier.
- The percentage of American Indian residents is the same in both Saucier and Stuttgart at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Saucier | Stuttgart |
|---|---|---|
| Mental Health Not Good | 18.0% | 19.8% |
| Physical Health Not Good | 12.6% | 14.6% |
| Depression | 25.6% | 24.4% |
| Smoking | 22.9% | 23.1% |
| Binge Drinking | 16.3% | 13.6% |
| Obesity | 34.0% | 39.7% |
| Disability Percentage | 15.0% | 20.0% |
Health Statistics Comparison: Saucier vs Stuttgart
- In Stuttgart, a higher percentage report poor mental health at 19.8% compared to 18.0% in Saucier.
- Depression is more prevalent in Saucier at 25.6% compared to 24.4% in Stuttgart.
- Stuttgart has a higher smoking rate at 23.1% compared to 22.9% in Saucier.
- Binge drinking is more common in Saucier at 16.3% compared to 13.6% in Stuttgart.
- Stuttgart has higher obesity rates at 39.7% compared to 34.0% in Saucier.
- There is a higher percentage of disabled individuals in Stuttgart at 20.0% compared to 15.0% in Saucier.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Saucier | Stuttgart |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (63) |
| High School Diploma | 29.9% (359) | 25.5% (2,015) |
| Less than High School | 6.3% (76) | 14.5% (1,144) |
| Bachelor's Degree and Higher | 7.0% (84) | 12.0% (948) |
Education Levels Comparison: Saucier vs Stuttgart
- In Stuttgart, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Saucier.
- A higher percentage of residents in Saucier hold a high school diploma at 29.9% compared to 25.5% in Stuttgart.
- The percentage of residents with less than a high school education is higher in Stuttgart at 14.5%, compared to 6.3% in Saucier.
- In Stuttgart, a larger share of residents have a bachelor's degree or higher at 12.0% compared to 7.0% in Saucier.
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.