Demographics details for Santa barbara, CA vs Snellville, GA
Population Overview
Compare main population characteristics in Santa barbara, CA vs Snellville, GA.
Data | Santa barbara | Snellville |
---|---|---|
Population | 87,533 | 22,024 |
Median Age | 39.6 years | 42.1 years |
Median Income | $98,346 | $88,586 |
Married Families | 36.0% | 42.0% |
Poverty Level | 14% | 10% |
Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Santa barbara vs Snellville
- In Santa barbara, the population is higher at 87,533, compared to 22,024 in Snellville.
- The median age in Snellville is higher at 42.1 years, compared to 39.6 years in Santa barbara.
- Santa barbara has a higher median income of $98,346 compared to $88,586 in Snellville.
- In Snellville, the percentage of married families is higher at 42.0%, compared to 36.0% in Santa barbara.
- Santa barbara has a higher poverty level at 14% compared to 10% in Snellville.
- Snellville has a higher unemployment rate at 3.5% compared to 3.4% in Santa barbara.
Demographics
Demographics Santa barbara vs Snellville provide insight into the diversity of the communities to compare.
Demographic | Santa barbara | Snellville |
---|---|---|
Black | 1 | 38 |
White | 44 | 34 |
Asian | 4 | 9 |
Hispanic | 37 | 13 |
Two or More Races | 13 | 6 |
American Indian | 1 | Data is updating |
Demographics Comparison: Santa barbara vs Snellville
- In Snellville, the percentage of Black residents is higher at 38% compared to 1% in Santa barbara.
- Santa barbara has a higher percentage of White residents at 44% compared to 34% in Snellville.
- In Snellville, the Asian population stands at 9%, greater than 4% in Santa barbara.
- The Hispanic community is larger in Santa barbara at 37% compared to 13% in Snellville.
- More residents identify as two or more races in Santa barbara at 13% compared to 6% in Snellville.
- A greater percentage of American Indian residents live in Santa barbara at 1% compared to 0% in Snellville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa barbara | Snellville |
---|---|---|
Mental Health Not Good | 14.8% | 14.6% |
Physical Health Not Good | 10.1% | 9.7% |
Depression | 19.2% | 18.2% |
Smoking | 10.8% | 13.1% |
Binge Drinking | 16.9% | 15.1% |
Obesity | 28.5% | 31.9% |
Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Santa barbara vs Snellville
- More residents in Santa barbara report poor mental health at 14.8% compared to 14.6% in Snellville.
- Depression is more prevalent in Santa barbara at 19.2% compared to 18.2% in Snellville.
- Snellville has a higher smoking rate at 13.1% compared to 10.8% in Santa barbara.
- Binge drinking is more common in Santa barbara at 16.9% compared to 15.1% in Snellville.
- Snellville has higher obesity rates at 31.9% compared to 28.5% in Santa barbara.
- There is a higher percentage of disabled individuals in Snellville at 11.0% 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 | Snellville |
---|---|---|
No Schooling | 1.5% (1,334) | 0.4% (94) |
High School Diploma | 7.5% (6,587) | 13.5% (2,970) |
Less than High School | 16.0% (13,982) | 10.1% (2,226) |
Bachelor's Degree and Higher | 36.6% (32,079) | 24.8% (5,469) |
Education Levels Comparison: Santa barbara vs Snellville
- A higher percentage of residents in Santa barbara have no formal schooling at 1.5% compared to 0.4% in Snellville.
- In Snellville, the rate of residents with high school diplomas is higher at 13.5% compared to 7.5% in Santa barbara.
- More residents in Santa barbara have less than a high school education at 16.0% compared to 10.1% in Snellville.
- A higher percentage of residents in Santa barbara hold a bachelor's degree or higher at 36.6% compared to 24.8% in Snellville.
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.