Demographics details for Palatka, FL vs Santa barbara, CA
Population Overview
Compare main population characteristics in Palatka, FL vs Santa barbara, CA.
| Data | Palatka | Santa barbara |
|---|---|---|
| Population | 10,574 | 87,533 |
| Median Age | 39.9 years | 39.6 years |
| Median Income | $30,945 | $98,346 |
| Married Families | 18.0% | 36.0% |
| Poverty Level | 22% | 14% |
| Unemployment Rate | 5.5 | 3.4 |
Population Comparison: Palatka vs Santa barbara
- The population in Santa barbara is higher at 87,533, compared to 10,574 in Palatka.
- Residents in Palatka have a higher median age of 39.9 years compared to 39.6 years in Santa barbara.
- Santa barbara has a higher median income of $98,346, compared to $30,945 in Palatka.
- In Santa barbara, the percentage of married families is higher at 36.0%, compared to 18.0% in Palatka.
- Palatka has a higher poverty level at 22% compared to 14% in Santa barbara.
- The unemployment rate in Palatka is higher at 5.5%, compared to 3.4% in Santa barbara.
Demographics
Demographics Palatka vs Santa barbara provide insight into the diversity of the communities to compare.
| Demographic | Palatka | Santa barbara |
|---|---|---|
| Black | 40 | 1 |
| White | 43 | 44 |
| Asian | 1 | 4 |
| Hispanic | 8 | 37 |
| Two or More Races | 7 | 13 |
| American Indian | 1 | 1 |
Demographics Comparison: Palatka vs Santa barbara
- A higher percentage of Black residents are in Palatka at 40% compared to 1% in Santa barbara.
- The percentage of White residents is higher in Santa barbara at 44% compared to 43% in Palatka.
- In Santa barbara, the Asian population stands at 4%, greater than 1% in Palatka.
- Santa barbara has a higher percentage of Hispanic residents at 37%, compared to 8% in Palatka.
- The percentage of residents identifying as two or more races is higher in Santa barbara at 13%, compared to 7% in Palatka.
- The percentage of American Indian residents is the same in both Palatka and Santa barbara at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palatka | Santa barbara |
|---|---|---|
| Mental Health Not Good | 19.4% | 14.8% |
| Physical Health Not Good | 16.4% | 10.1% |
| Depression | 20.5% | 19.2% |
| Smoking | 29.4% | 10.8% |
| Binge Drinking | 14.2% | 16.9% |
| Obesity | 40.8% | 28.5% |
| Disability Percentage | 21.0% | 10.0% |
Health Statistics Comparison: Palatka vs Santa barbara
- More residents in Palatka report poor mental health at 19.4% compared to 14.8% in Santa barbara.
- Depression is more prevalent in Palatka at 20.5% compared to 19.2% in Santa barbara.
- Smoking is more prevalent in Palatka at 29.4% compared to 10.8% in Santa barbara.
- More residents engage in binge drinking in Santa barbara at 16.9% compared to 14.2% in Palatka.
- Obesity rates are higher in Palatka at 40.8% compared to 28.5% in Santa barbara.
- Disability percentages are higher in Palatka at 21.0% compared to 10.0% in Santa barbara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Palatka | Santa barbara |
|---|---|---|
| No Schooling | 1.0% (111) | 1.5% (1,334) |
| High School Diploma | 20.0% (2,118) | 7.5% (6,587) |
| Less than High School | 22.0% (2,324) | 16.0% (13,982) |
| Bachelor's Degree and Higher | 8.0% (841) | 36.6% (32,079) |
Education Levels Comparison: Palatka vs Santa barbara
- In Santa barbara, a larger percentage of residents lack formal schooling at 1.5% compared to 1.0% in Palatka.
- A higher percentage of residents in Palatka hold a high school diploma at 20.0% compared to 7.5% in Santa barbara.
- More residents in Palatka have less than a high school education at 22.0% compared to 16.0% in Santa barbara.
- In Santa barbara, a larger share of residents have a bachelor's degree or higher at 36.6% compared to 8.0% in Palatka.
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.