Demographics details for Stuttgart, AR vs Sidney, IA
Population Overview
Compare main population characteristics in Stuttgart, AR vs Sidney, IA.
| Data | Stuttgart | Sidney |
|---|---|---|
| Population | 7,907 | 1,037 |
| Median Age | 37.8 years | 41.7 years |
| Median Income | $59,124 | $64,500 |
| Married Families | 39.0% | 31.0% |
| Poverty Level | 18% | 10% |
| Unemployment Rate | 4.2 | 3.0 |
Population Comparison: Stuttgart vs Sidney
- In Stuttgart, the population is higher at 7,907, compared to 1,037 in Sidney.
- The median age in Sidney is higher at 41.7 years, compared to 37.8 years in Stuttgart.
- Sidney has a higher median income of $64,500, compared to $59,124 in Stuttgart.
- A higher percentage of married families is found in Stuttgart at 39.0% compared to 31.0% in Sidney.
- Stuttgart has a higher poverty level at 18% compared to 10% in Sidney.
- The unemployment rate in Stuttgart is higher at 4.2%, compared to 3.0% in Sidney.
Demographics
Demographics Stuttgart vs Sidney provide insight into the diversity of the communities to compare.
| Demographic | Stuttgart | Sidney |
|---|---|---|
| Black | 42 | 1 |
| White | 53 | 88 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 4 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Stuttgart vs Sidney
- A higher percentage of Black residents are in Stuttgart at 42% compared to 1% in Sidney.
- The percentage of White residents is higher in Sidney at 88% compared to 53% in Stuttgart.
- Both Stuttgart and Sidney have the same percentage of Asian residents at 0%.
- Sidney has a higher percentage of Hispanic residents at 4%, compared to 2% in Stuttgart.
- The percentage of residents identifying as two or more races is higher in Sidney at 7%, compared to 3% in Stuttgart.
- The percentage of American Indian residents is the same in both Stuttgart and Sidney at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Stuttgart | Sidney |
|---|---|---|
| Mental Health Not Good | 19.8% | 16.4% |
| Physical Health Not Good | 14.6% | 10.7% |
| Depression | 24.4% | 20.0% |
| Smoking | 23.1% | 19.1% |
| Binge Drinking | 13.6% | 20.8% |
| Obesity | 39.7% | 39.2% |
| Disability Percentage | 20.0% | 16.0% |
Health Statistics Comparison: Stuttgart vs Sidney
- More residents in Stuttgart report poor mental health at 19.8% compared to 16.4% in Sidney.
- Depression is more prevalent in Stuttgart at 24.4% compared to 20.0% in Sidney.
- Smoking is more prevalent in Stuttgart at 23.1% compared to 19.1% in Sidney.
- More residents engage in binge drinking in Sidney at 20.8% compared to 13.6% in Stuttgart.
- Obesity rates are higher in Stuttgart at 39.7% compared to 39.2% in Sidney.
- Disability percentages are higher in Stuttgart at 20.0% compared to 16.0% in Sidney.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Stuttgart | Sidney |
|---|---|---|
| No Schooling | 0.8% (63) | 0.0% (Data is updating) |
| High School Diploma | 25.5% (2,015) | 20.9% (217) |
| Less than High School | 14.5% (1,144) | 8.1% (84) |
| Bachelor's Degree and Higher | 12.0% (948) | 11.6% (120) |
Education Levels Comparison: Stuttgart vs Sidney
- A higher percentage of residents in Stuttgart have no formal schooling at 0.8% compared to 0.0% in Sidney.
- A higher percentage of residents in Stuttgart hold a high school diploma at 25.5% compared to 20.9% in Sidney.
- More residents in Stuttgart have less than a high school education at 14.5% compared to 8.1% in Sidney.
- A higher percentage of residents in Stuttgart hold a bachelor's degree or higher at 12.0% compared to 11.6% in Sidney.
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.