Demographics details for Dana point, CA vs Stuttgart, AR
Population Overview
Compare main population characteristics in Dana point, CA vs Stuttgart, AR.
| Data | Dana point | Stuttgart |
|---|---|---|
| Population | 32,465 | 7,907 |
| Median Age | 49.5 years | 37.8 years |
| Median Income | $119,632 | $59,124 |
| Married Families | 49.0% | 39.0% |
| Poverty Level | 8% | 18% |
| Unemployment Rate | 3.6 | 4.2 |
Population Comparison: Dana point vs Stuttgart
- In Dana point, the population is higher at 32,465, compared to 7,907 in Stuttgart.
- Residents in Dana point have a higher median age of 49.5 years compared to 37.8 years in Stuttgart.
- Dana point has a higher median income of $119,632 compared to $59,124 in Stuttgart.
- A higher percentage of married families is found in Dana point at 49.0% compared to 39.0% in Stuttgart.
- The poverty level is higher in Stuttgart at 18%, compared to 8% in Dana point.
- Stuttgart has a higher unemployment rate at 4.2% compared to 3.6% in Dana point.
Demographics
Demographics Dana point vs Stuttgart provide insight into the diversity of the communities to compare.
| Demographic | Dana point | Stuttgart |
|---|---|---|
| Black | 1 | 42 |
| White | 72 | 53 |
| Asian | 4 | Data is updating |
| Hispanic | 16 | 2 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dana point vs Stuttgart
- In Stuttgart, the percentage of Black residents is higher at 42% compared to 1% in Dana point.
- Dana point has a higher percentage of White residents at 72% compared to 53% in Stuttgart.
- The Asian population is larger in Dana point at 4% compared to 0% in Stuttgart.
- The Hispanic community is larger in Dana point at 16% compared to 2% in Stuttgart.
- More residents identify as two or more races in Dana point at 7% compared to 3% in Stuttgart.
- The percentage of American Indian residents is the same in both Dana point and Stuttgart at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dana point | Stuttgart |
|---|---|---|
| Mental Health Not Good | 14.4% | 19.8% |
| Physical Health Not Good | 8.9% | 14.6% |
| Depression | 19.0% | 24.4% |
| Smoking | 9.2% | 23.1% |
| Binge Drinking | 18.8% | 13.6% |
| Obesity | 25.8% | 39.7% |
| Disability Percentage | 10.0% | 20.0% |
Health Statistics Comparison: Dana point vs Stuttgart
- In Stuttgart, a higher percentage report poor mental health at 19.8% compared to 14.4% in Dana point.
- Higher depression rates are seen in Stuttgart at 24.4% versus 19.0% in Dana point.
- Stuttgart has a higher smoking rate at 23.1% compared to 9.2% in Dana point.
- Binge drinking is more common in Dana point at 18.8% compared to 13.6% in Stuttgart.
- Stuttgart has higher obesity rates at 39.7% compared to 25.8% in Dana point.
- There is a higher percentage of disabled individuals in Stuttgart at 20.0% compared to 10.0% in Dana point.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dana point | Stuttgart |
|---|---|---|
| No Schooling | 0.8% (264) | 0.8% (63) |
| High School Diploma | 7.8% (2,523) | 25.5% (2,015) |
| Less than High School | 6.8% (2,210) | 14.5% (1,144) |
| Bachelor's Degree and Higher | 42.9% (13,935) | 12.0% (948) |
Education Levels Comparison: Dana point vs Stuttgart
- The percentage of residents with no formal schooling is the same in both Dana point and Stuttgart at 0.8%.
- In Stuttgart, the rate of residents with high school diplomas is higher at 25.5% compared to 7.8% in Dana point.
- The percentage of residents with less than a high school education is higher in Stuttgart at 14.5%, compared to 6.8% in Dana point.
- A higher percentage of residents in Dana point hold a bachelor's degree or higher at 42.9% 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.