Demographics details for San pierre, IN vs Stuart, VA
Population Overview
Compare main population characteristics in San pierre, IN vs Stuart, VA.
| Data | San pierre | Stuart |
|---|---|---|
| Population | 436 | 1,431 |
| Median Age | 24.9 years | 54.8 years |
| Median Income | $61,250 | $34,792 |
| Married Families | 24.0% | 30.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: San pierre vs Stuart
- The population in Stuart is higher at 1,431, compared to 436 in San pierre.
- The median age in Stuart is higher at 54.8 years, compared to 24.9 years in San pierre.
- San pierre has a higher median income of $61,250 compared to $34,792 in Stuart.
- In Stuart, the percentage of married families is higher at 30.0%, compared to 24.0% in San pierre.
- The poverty level is higher in Stuart at 12%, compared to 5% in San pierre.
- The unemployment rate is the same in both San pierre and Stuart at 3.2%.
Demographics
Demographics San pierre vs Stuart provide insight into the diversity of the communities to compare.
| Demographic | San pierre | Stuart |
|---|---|---|
| Black | Data is updating | 9 |
| White | 76 | 81 |
| Asian | Data is updating | 2 |
| Hispanic | 3 | 4 |
| Two or More Races | 21 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: San pierre vs Stuart
- In Stuart, the percentage of Black residents is higher at 9% compared to 0% in San pierre.
- The percentage of White residents is higher in Stuart at 81% compared to 76% in San pierre.
- In Stuart, the Asian population stands at 2%, greater than 0% in San pierre.
- Stuart has a higher percentage of Hispanic residents at 4%, compared to 3% in San pierre.
- More residents identify as two or more races in San pierre at 21% compared to 4% in Stuart.
- The percentage of American Indian residents is the same in both San pierre and Stuart at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | San pierre | Stuart |
|---|---|---|
| Mental Health Not Good | 19.4% | 18.7% |
| Physical Health Not Good | 13.5% | 12.9% |
| Depression | 28.1% | 24.9% |
| Smoking | 24.3% | 20.6% |
| Binge Drinking | 17.6% | 16.6% |
| Obesity | 42.6% | 34.6% |
| Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: San pierre vs Stuart
- More residents in San pierre report poor mental health at 19.4% compared to 18.7% in Stuart.
- Depression is more prevalent in San pierre at 28.1% compared to 24.9% in Stuart.
- Smoking is more prevalent in San pierre at 24.3% compared to 20.6% in Stuart.
- Binge drinking is more common in San pierre at 17.6% compared to 16.6% in Stuart.
- Obesity rates are higher in San pierre at 42.6% compared to 34.6% in Stuart.
- There is a higher percentage of disabled individuals in Stuart at 16.0% compared to 0.0% in San pierre.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | San pierre | Stuart |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (10) |
| High School Diploma | 10.6% (46) | 25.9% (370) |
| Less than High School | 14.7% (64) | 28.7% (411) |
| Bachelor's Degree and Higher | 7.3% (32) | 13.3% (191) |
Education Levels Comparison: San pierre vs Stuart
- In Stuart, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in San pierre.
- In Stuart, the rate of residents with high school diplomas is higher at 25.9% compared to 10.6% in San pierre.
- The percentage of residents with less than a high school education is higher in Stuart at 28.7%, compared to 14.7% in San pierre.
- In Stuart, a larger share of residents have a bachelor's degree or higher at 13.3% compared to 7.3% in San pierre.
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.