Demographics details for Marianna, AR vs Santa clara, CA
Population Overview
Compare main population characteristics in Marianna, AR vs Santa clara, CA.
| Data | Marianna | Santa clara |
|---|---|---|
| Population | 3,432 | 126,930 |
| Median Age | 41.7 years | 34.5 years |
| Median Income | $21,057 | $165,352 |
| Married Families | 16.0% | 45.0% |
| Poverty Level | 20% | 8% |
| Unemployment Rate | 5.2 | 3.9 |
Population Comparison: Marianna vs Santa clara
- The population in Santa clara is higher at 126,930, compared to 3,432 in Marianna.
- Residents in Marianna have a higher median age of 41.7 years compared to 34.5 years in Santa clara.
- Santa clara has a higher median income of $165,352, compared to $21,057 in Marianna.
- In Santa clara, the percentage of married families is higher at 45.0%, compared to 16.0% in Marianna.
- Marianna has a higher poverty level at 20% compared to 8% in Santa clara.
- The unemployment rate in Marianna is higher at 5.2%, compared to 3.9% in Santa clara.
Demographics
Demographics Marianna vs Santa clara provide insight into the diversity of the communities to compare.
| Demographic | Marianna | Santa clara |
|---|---|---|
| Black | 84 | 2 |
| White | 14 | 27 |
| Asian | Data is updating | 48 |
| Hispanic | Data is updating | 15 |
| Two or More Races | 2 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marianna vs Santa clara
- A higher percentage of Black residents are in Marianna at 84% compared to 2% in Santa clara.
- The percentage of White residents is higher in Santa clara at 27% compared to 14% in Marianna.
- In Santa clara, the Asian population stands at 48%, greater than 0% in Marianna.
- Santa clara has a higher percentage of Hispanic residents at 15%, compared to 0% in Marianna.
- The percentage of residents identifying as two or more races is higher in Santa clara at 8%, compared to 2% in Marianna.
- The percentage of American Indian residents is the same in both Marianna and Santa clara at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marianna | Santa clara |
|---|---|---|
| Mental Health Not Good | 22.0% | 12.0% |
| Physical Health Not Good | 17.6% | 7.4% |
| Depression | 23.8% | 14.2% |
| Smoking | 28.5% | 7.1% |
| Binge Drinking | 10.9% | 13.9% |
| Obesity | 49.3% | 18.6% |
| Disability Percentage | 22.0% | 7.0% |
Health Statistics Comparison: Marianna vs Santa clara
- More residents in Marianna report poor mental health at 22.0% compared to 12.0% in Santa clara.
- Depression is more prevalent in Marianna at 23.8% compared to 14.2% in Santa clara.
- Smoking is more prevalent in Marianna at 28.5% compared to 7.1% in Santa clara.
- More residents engage in binge drinking in Santa clara at 13.9% compared to 10.9% in Marianna.
- Obesity rates are higher in Marianna at 49.3% compared to 18.6% in Santa clara.
- Disability percentages are higher in Marianna at 22.0% compared to 7.0% in Santa clara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marianna | Santa clara |
|---|---|---|
| No Schooling | 0.3% (10) | 0.9% (1,134) |
| High School Diploma | 30.3% (1,041) | 7.3% (9,232) |
| Less than High School | 9.1% (312) | 7.1% (8,967) |
| Bachelor's Degree and Higher | 3.3% (113) | 46.5% (58,962) |
Education Levels Comparison: Marianna vs Santa clara
- In Santa clara, a larger percentage of residents lack formal schooling at 0.9% compared to 0.3% in Marianna.
- A higher percentage of residents in Marianna hold a high school diploma at 30.3% compared to 7.3% in Santa clara.
- More residents in Marianna have less than a high school education at 9.1% compared to 7.1% in Santa clara.
- In Santa clara, a larger share of residents have a bachelor's degree or higher at 46.5% compared to 3.3% in Marianna.
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.