Demographics details for Santa barbara, CA vs Palatine, IL
Population Overview
Compare main population characteristics in Santa barbara, CA vs Palatine, IL.
Data | Santa barbara | Palatine |
---|---|---|
Population | 87,533 | 65,485 |
Median Age | 39.6 years | 39.4 years |
Median Income | $98,346 | $93,383 |
Married Families | 36.0% | 44.0% |
Poverty Level | 14% | 4% |
Unemployment Rate | 3.4 | 5.1 |
Population Comparison: Santa barbara vs Palatine
- In Santa barbara, the population is higher at 87,533, compared to 65,485 in Palatine.
- Residents in Santa barbara have a higher median age of 39.6 years compared to 39.4 years in Palatine.
- Santa barbara has a higher median income of $98,346 compared to $93,383 in Palatine.
- In Palatine, the percentage of married families is higher at 44.0%, compared to 36.0% in Santa barbara.
- Santa barbara has a higher poverty level at 14% compared to 4% in Palatine.
- Palatine has a higher unemployment rate at 5.1% compared to 3.4% in Santa barbara.
Demographics
Demographics Santa barbara vs Palatine provide insight into the diversity of the communities to compare.
Demographic | Santa barbara | Palatine |
---|---|---|
Black | 1 | 5 |
White | 44 | 57 |
Asian | 4 | 13 |
Hispanic | 37 | 20 |
Two or More Races | 13 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Santa barbara vs Palatine
- In Palatine, the percentage of Black residents is higher at 5% compared to 1% in Santa barbara.
- The percentage of White residents is higher in Palatine at 57% compared to 44% in Santa barbara.
- In Palatine, the Asian population stands at 13%, greater than 4% in Santa barbara.
- The Hispanic community is larger in Santa barbara at 37% compared to 20% in Palatine.
- More residents identify as two or more races in Santa barbara at 13% compared to 5% in Palatine.
- A greater percentage of American Indian residents live in Santa barbara at 1% compared to 0% in Palatine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa barbara | Palatine |
---|---|---|
Mental Health Not Good | 14.8% | 12.7% |
Physical Health Not Good | 10.1% | 8.7% |
Depression | 19.2% | 17.0% |
Smoking | 10.8% | 11.3% |
Binge Drinking | 16.9% | 18.9% |
Obesity | 28.5% | 26.8% |
Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Santa barbara vs Palatine
- More residents in Santa barbara report poor mental health at 14.8% compared to 12.7% in Palatine.
- Depression is more prevalent in Santa barbara at 19.2% compared to 17.0% in Palatine.
- Palatine has a higher smoking rate at 11.3% compared to 10.8% in Santa barbara.
- More residents engage in binge drinking in Palatine at 18.9% compared to 16.9% in Santa barbara.
- Obesity rates are higher in Santa barbara at 28.5% compared to 26.8% in Palatine.
- Disability percentages are higher in Santa barbara at 10.0% compared to 9.0% in Palatine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Santa barbara | Palatine |
---|---|---|
No Schooling | 1.5% (1,334) | 1.7% (1,095) |
High School Diploma | 7.5% (6,587) | 11.6% (7,584) |
Less than High School | 16.0% (13,982) | 12.3% (8,071) |
Bachelor's Degree and Higher | 36.6% (32,079) | 35.8% (23,474) |
Education Levels Comparison: Santa barbara vs Palatine
- In Palatine, a larger percentage of residents lack formal schooling at 1.7% compared to 1.5% in Santa barbara.
- In Palatine, the rate of residents with high school diplomas is higher at 11.6% compared to 7.5% in Santa barbara.
- More residents in Santa barbara have less than a high school education at 16.0% compared to 12.3% in Palatine.
- A higher percentage of residents in Santa barbara hold a bachelor's degree or higher at 36.6% compared to 35.8% in Palatine.
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.