Demographics details for Mountain pine, AR vs Stuttgart, AR
Population Overview
Compare main population characteristics in Mountain pine, AR vs Stuttgart, AR.
| Data | Mountain pine | Stuttgart |
|---|---|---|
| Population | 577 | 7,907 |
| Median Age | 44.2 years | 37.8 years |
| Median Income | $28,542 | $59,124 |
| Married Families | 28.0% | 39.0% |
| Poverty Level | 20% | 18% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Mountain pine vs Stuttgart
- The population in Stuttgart is higher at 7,907, compared to 577 in Mountain pine.
- Residents in Mountain pine have a higher median age of 44.2 years compared to 37.8 years in Stuttgart.
- Stuttgart has a higher median income of $59,124, compared to $28,542 in Mountain pine.
- In Stuttgart, the percentage of married families is higher at 39.0%, compared to 28.0% in Mountain pine.
- Mountain pine has a higher poverty level at 20% compared to 18% in Stuttgart.
- The unemployment rate in Mountain pine is higher at 4.5%, compared to 4.2% in Stuttgart.
Demographics
Demographics Mountain pine vs Stuttgart provide insight into the diversity of the communities to compare.
| Demographic | Mountain pine | Stuttgart |
|---|---|---|
| Black | 8 | 42 |
| White | 85 | 53 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 2 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mountain pine vs Stuttgart
- In Stuttgart, the percentage of Black residents is higher at 42% compared to 8% in Mountain pine.
- Mountain pine has a higher percentage of White residents at 85% compared to 53% in Stuttgart.
- Both Mountain pine and Stuttgart have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Mountain pine and Stuttgart at 2%.
- More residents identify as two or more races in Mountain pine at 5% compared to 3% in Stuttgart.
- The percentage of American Indian residents is the same in both Mountain pine and Stuttgart at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain pine | Stuttgart |
|---|---|---|
| Mental Health Not Good | 20.8% | 19.8% |
| Physical Health Not Good | 14.8% | 14.6% |
| Depression | 26.8% | 24.4% |
| Smoking | 24.8% | 23.1% |
| Binge Drinking | 14.8% | 13.6% |
| Obesity | 39.5% | 39.7% |
| Disability Percentage | 23.0% | 20.0% |
Health Statistics Comparison: Mountain pine vs Stuttgart
- More residents in Mountain pine report poor mental health at 20.8% compared to 19.8% in Stuttgart.
- Depression is more prevalent in Mountain pine at 26.8% compared to 24.4% in Stuttgart.
- Smoking is more prevalent in Mountain pine at 24.8% compared to 23.1% in Stuttgart.
- Binge drinking is more common in Mountain pine at 14.8% compared to 13.6% in Stuttgart.
- Stuttgart has higher obesity rates at 39.7% compared to 39.5% in Mountain pine.
- Disability percentages are higher in Mountain pine at 23.0% 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 | Mountain pine | Stuttgart |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (63) |
| High School Diploma | 30.8% (178) | 25.5% (2,015) |
| Less than High School | 9.4% (54) | 14.5% (1,144) |
| Bachelor's Degree and Higher | 2.9% (17) | 12.0% (948) |
Education Levels Comparison: Mountain pine vs Stuttgart
- In Stuttgart, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Mountain pine.
- A higher percentage of residents in Mountain pine hold a high school diploma at 30.8% 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 9.4% in Mountain pine.
- In Stuttgart, a larger share of residents have a bachelor's degree or higher at 12.0% compared to 2.9% in Mountain pine.
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.