Demographics details for Stuttgart, AR vs Piper city, IL
Population Overview
Compare main population characteristics in Stuttgart, AR vs Piper city, IL.
| Data | Stuttgart | Piper city |
|---|---|---|
| Population | 7,907 | 729 |
| Median Age | 37.8 years | 48.3 years |
| Median Income | $59,124 | $38,750 |
| Married Families | 39.0% | 40.0% |
| Poverty Level | 18% | 11% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Stuttgart vs Piper city
- In Stuttgart, the population is higher at 7,907, compared to 729 in Piper city.
- The median age in Piper city is higher at 48.3 years, compared to 37.8 years in Stuttgart.
- Stuttgart has a higher median income of $59,124 compared to $38,750 in Piper city.
- In Piper city, the percentage of married families is higher at 40.0%, compared to 39.0% in Stuttgart.
- Stuttgart has a higher poverty level at 18% compared to 11% in Piper city.
- The unemployment rate in Stuttgart is higher at 4.2%, compared to 3.2% in Piper city.
Demographics
Demographics Stuttgart vs Piper city provide insight into the diversity of the communities to compare.
| Demographic | Stuttgart | Piper city |
|---|---|---|
| Black | 42 | 2 |
| White | 53 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 3 |
| Two or More Races | 3 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Stuttgart vs Piper city
- A higher percentage of Black residents are in Stuttgart at 42% compared to 2% in Piper city.
- The percentage of White residents is higher in Piper city at 94% compared to 53% in Stuttgart.
- Both Stuttgart and Piper city have the same percentage of Asian residents at 0%.
- Piper city has a higher percentage of Hispanic residents at 3%, compared to 2% in Stuttgart.
- More residents identify as two or more races in Stuttgart at 3% compared to 1% in Piper city.
- The percentage of American Indian residents is the same in both Stuttgart and Piper city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Stuttgart | Piper city |
|---|---|---|
| Mental Health Not Good | 19.8% | 17.8% |
| Physical Health Not Good | 14.6% | 12.8% |
| Depression | 24.4% | 23.2% |
| Smoking | 23.1% | 20.6% |
| Binge Drinking | 13.6% | 17.3% |
| Obesity | 39.7% | 38.4% |
| Disability Percentage | 20.0% | 26.0% |
Health Statistics Comparison: Stuttgart vs Piper city
- More residents in Stuttgart report poor mental health at 19.8% compared to 17.8% in Piper city.
- Depression is more prevalent in Stuttgart at 24.4% compared to 23.2% in Piper city.
- Smoking is more prevalent in Stuttgart at 23.1% compared to 20.6% in Piper city.
- More residents engage in binge drinking in Piper city at 17.3% compared to 13.6% in Stuttgart.
- Obesity rates are higher in Stuttgart at 39.7% compared to 38.4% in Piper city.
- There is a higher percentage of disabled individuals in Piper city at 26.0% compared to 20.0% in Stuttgart.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Stuttgart | Piper city |
|---|---|---|
| No Schooling | 0.8% (63) | 0.1% (1) |
| High School Diploma | 25.5% (2,015) | 30.3% (221) |
| Less than High School | 14.5% (1,144) | 10.8% (79) |
| Bachelor's Degree and Higher | 12.0% (948) | 5.8% (42) |
Education Levels Comparison: Stuttgart vs Piper city
- A higher percentage of residents in Stuttgart have no formal schooling at 0.8% compared to 0.1% in Piper city.
- In Piper city, the rate of residents with high school diplomas is higher at 30.3% compared to 25.5% in Stuttgart.
- More residents in Stuttgart have less than a high school education at 14.5% compared to 10.8% in Piper city.
- A higher percentage of residents in Stuttgart hold a bachelor's degree or higher at 12.0% compared to 5.8% in Piper city.
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.