Demographics details for Stuttgart, AR vs Santa paula, CA
Population Overview
Compare main population characteristics in Stuttgart, AR vs Santa paula, CA.
Data | Stuttgart | Santa paula |
---|---|---|
Population | 7,907 | 31,018 |
Median Age | 37.8 years | 34.6 years |
Median Income | $59,124 | $72,014 |
Married Families | 39.0% | 36.0% |
Poverty Level | 18% | 15% |
Unemployment Rate | 4.2 | 5.6 |
Population Comparison: Stuttgart vs Santa paula
- The population in Santa paula is higher at 31,018, compared to 7,907 in Stuttgart.
- Residents in Stuttgart have a higher median age of 37.8 years compared to 34.6 years in Santa paula.
- Santa paula has a higher median income of $72,014, compared to $59,124 in Stuttgart.
- A higher percentage of married families is found in Stuttgart at 39.0% compared to 36.0% in Santa paula.
- Stuttgart has a higher poverty level at 18% compared to 15% in Santa paula.
- Santa paula has a higher unemployment rate at 5.6% compared to 4.2% in Stuttgart.
Demographics
Demographics Stuttgart vs Santa paula provide insight into the diversity of the communities to compare.
Demographic | Stuttgart | Santa paula |
---|---|---|
Black | 42 | 1 |
White | 53 | 2 |
Asian | Data is updating | 1 |
Hispanic | 2 | 81 |
Two or More Races | 3 | 13 |
American Indian | Data is updating | 2 |
Demographics Comparison: Stuttgart vs Santa paula
- A higher percentage of Black residents are in Stuttgart at 42% compared to 1% in Santa paula.
- Stuttgart has a higher percentage of White residents at 53% compared to 2% in Santa paula.
- In Santa paula, the Asian population stands at 1%, greater than 0% in Stuttgart.
- Santa paula has a higher percentage of Hispanic residents at 81%, compared to 2% in Stuttgart.
- The percentage of residents identifying as two or more races is higher in Santa paula at 13%, compared to 3% in Stuttgart.
- In Santa paula, the percentage of American Indian residents is higher at 2%, compared to 0% in Stuttgart.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Stuttgart | Santa paula |
---|---|---|
Mental Health Not Good | 19.8% | 16.2% |
Physical Health Not Good | 14.6% | 13.5% |
Depression | 24.4% | 17.9% |
Smoking | 23.1% | 13.4% |
Binge Drinking | 13.6% | 15.6% |
Obesity | 39.7% | 31.5% |
Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Stuttgart vs Santa paula
- More residents in Stuttgart report poor mental health at 19.8% compared to 16.2% in Santa paula.
- Depression is more prevalent in Stuttgart at 24.4% compared to 17.9% in Santa paula.
- Smoking is more prevalent in Stuttgart at 23.1% compared to 13.4% in Santa paula.
- More residents engage in binge drinking in Santa paula at 15.6% compared to 13.6% in Stuttgart.
- Obesity rates are higher in Stuttgart at 39.7% compared to 31.5% in Santa paula.
- Disability percentages are higher in Stuttgart at 20.0% compared to 12.0% in Santa paula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Stuttgart | Santa paula |
---|---|---|
No Schooling | 0.8% (63) | 2.9% (907) |
High School Diploma | 25.5% (2,015) | 12.8% (3,980) |
Less than High School | 14.5% (1,144) | 43.7% (13,547) |
Bachelor's Degree and Higher | 12.0% (948) | 8.6% (2,653) |
Education Levels Comparison: Stuttgart vs Santa paula
- In Santa paula, a larger percentage of residents lack formal schooling at 2.9% compared to 0.8% in Stuttgart.
- A higher percentage of residents in Stuttgart hold a high school diploma at 25.5% compared to 12.8% in Santa paula.
- The percentage of residents with less than a high school education is higher in Santa paula at 43.7%, compared to 14.5% in Stuttgart.
- A higher percentage of residents in Stuttgart hold a bachelor's degree or higher at 12.0% compared to 8.6% in Santa paula.
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.