Demographics details for Santa barbara, CA vs Charlotte, TN
Population Overview
Compare main population characteristics in Santa barbara, CA vs Charlotte, TN.
Data | Santa barbara | Charlotte |
---|---|---|
Population | 87,533 | 1,674 |
Median Age | 39.6 years | 36.8 years |
Median Income | $98,346 | $57,188 |
Married Families | 36.0% | 46.0% |
Poverty Level | 14% | 14% |
Unemployment Rate | 3.4 | 4.3 |
Population Comparison: Santa barbara vs Charlotte
- In Santa barbara, the population is higher at 87,533, compared to 1,674 in Charlotte.
- Residents in Santa barbara have a higher median age of 39.6 years compared to 36.8 years in Charlotte.
- Santa barbara has a higher median income of $98,346 compared to $57,188 in Charlotte.
- In Charlotte, the percentage of married families is higher at 46.0%, compared to 36.0% in Santa barbara.
- The poverty level is identical in both Santa barbara and Charlotte at 14%.
- Charlotte has a higher unemployment rate at 4.3% compared to 3.4% in Santa barbara.
Demographics
Demographics Santa barbara vs Charlotte provide insight into the diversity of the communities to compare.
Demographic | Santa barbara | Charlotte |
---|---|---|
Black | 1 | 6 |
White | 44 | 82 |
Asian | 4 | Data is updating |
Hispanic | 37 | 4 |
Two or More Races | 13 | 6 |
American Indian | 1 | 2 |
Demographics Comparison: Santa barbara vs Charlotte
- In Charlotte, the percentage of Black residents is higher at 6% compared to 1% in Santa barbara.
- The percentage of White residents is higher in Charlotte at 82% compared to 44% in Santa barbara.
- The Asian population is larger in Santa barbara at 4% compared to 0% in Charlotte.
- The Hispanic community is larger in Santa barbara at 37% compared to 4% in Charlotte.
- More residents identify as two or more races in Santa barbara at 13% compared to 6% in Charlotte.
- In Charlotte, the percentage of American Indian residents is higher at 2%, compared to 1% in Santa barbara.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa barbara | Charlotte |
---|---|---|
Mental Health Not Good | 14.8% | 20.3% |
Physical Health Not Good | 10.1% | 14.7% |
Depression | 19.2% | 28.8% |
Smoking | 10.8% | 25.3% |
Binge Drinking | 16.9% | 16.0% |
Obesity | 28.5% | 38.9% |
Disability Percentage | 10.0% | 27.0% |
Health Statistics Comparison: Santa barbara vs Charlotte
- In Charlotte, a higher percentage report poor mental health at 20.3% compared to 14.8% in Santa barbara.
- Higher depression rates are seen in Charlotte at 28.8% versus 19.2% in Santa barbara.
- Charlotte has a higher smoking rate at 25.3% compared to 10.8% in Santa barbara.
- Binge drinking is more common in Santa barbara at 16.9% compared to 16.0% in Charlotte.
- Charlotte has higher obesity rates at 38.9% compared to 28.5% in Santa barbara.
- There is a higher percentage of disabled individuals in Charlotte at 27.0% 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 | Santa barbara | Charlotte |
---|---|---|
No Schooling | 1.5% (1,334) | 0.4% (6) |
High School Diploma | 7.5% (6,587) | 25.3% (424) |
Less than High School | 16.0% (13,982) | 26.0% (436) |
Bachelor's Degree and Higher | 36.6% (32,079) | 9.9% (166) |
Education Levels Comparison: Santa barbara vs Charlotte
- A higher percentage of residents in Santa barbara have no formal schooling at 1.5% compared to 0.4% in Charlotte.
- In Charlotte, the rate of residents with high school diplomas is higher at 25.3% compared to 7.5% in Santa barbara.
- The percentage of residents with less than a high school education is higher in Charlotte at 26.0%, compared to 16.0% in Santa barbara.
- A higher percentage of residents in Santa barbara hold a bachelor's degree or higher at 36.6% compared to 9.9% in Charlotte.
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.