Demographics details for Santa clara, CA vs Gainesville, FL
Population Overview
Compare main population characteristics in Santa clara, CA vs Gainesville, FL.
Data | Santa clara | Gainesville |
---|---|---|
Population | 126,930 | 145,214 |
Median Age | 34.5 years | 26.0 years |
Median Income | $165,352 | $43,783 |
Married Families | 45.0% | 21.0% |
Poverty Level | 8% | 20% |
Unemployment Rate | 3.9 | 4.5 |
Population Comparison: Santa clara vs Gainesville
- The population in Gainesville is higher at 145,214, compared to 126,930 in Santa clara.
- Residents in Santa clara have a higher median age of 34.5 years compared to 26.0 years in Gainesville.
- Santa clara has a higher median income of $165,352 compared to $43,783 in Gainesville.
- A higher percentage of married families is found in Santa clara at 45.0% compared to 21.0% in Gainesville.
- The poverty level is higher in Gainesville at 20%, compared to 8% in Santa clara.
- Gainesville has a higher unemployment rate at 4.5% compared to 3.9% in Santa clara.
Demographics
Demographics Santa clara vs Gainesville provide insight into the diversity of the communities to compare.
Demographic | Santa clara | Gainesville |
---|---|---|
Black | 2 | 21 |
White | 27 | 53 |
Asian | 48 | 6 |
Hispanic | 15 | 12 |
Two or More Races | 8 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Santa clara vs Gainesville
- In Gainesville, the percentage of Black residents is higher at 21% compared to 2% in Santa clara.
- The percentage of White residents is higher in Gainesville at 53% compared to 27% in Santa clara.
- The Asian population is larger in Santa clara at 48% compared to 6% in Gainesville.
- The Hispanic community is larger in Santa clara at 15% compared to 12% in Gainesville.
- Both Santa clara and Gainesville have the same percentage of residents identifying as two or more races at 8%.
- The percentage of American Indian residents is the same in both Santa clara and Gainesville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa clara | Gainesville |
---|---|---|
Mental Health Not Good | 12.0% | 16.6% |
Physical Health Not Good | 7.4% | 11.8% |
Depression | 14.2% | 18.9% |
Smoking | 7.1% | 18.3% |
Binge Drinking | 13.9% | 15.0% |
Obesity | 18.6% | 33.1% |
Disability Percentage | 7.0% | 9.0% |
Health Statistics Comparison: Santa clara vs Gainesville
- In Gainesville, a higher percentage report poor mental health at 16.6% compared to 12.0% in Santa clara.
- Higher depression rates are seen in Gainesville at 18.9% versus 14.2% in Santa clara.
- Gainesville has a higher smoking rate at 18.3% compared to 7.1% in Santa clara.
- More residents engage in binge drinking in Gainesville at 15.0% compared to 13.9% in Santa clara.
- Gainesville has higher obesity rates at 33.1% compared to 18.6% in Santa clara.
- There is a higher percentage of disabled individuals in Gainesville at 9.0% 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 | Santa clara | Gainesville |
---|---|---|
No Schooling | 0.9% (1,134) | 0.8% (1,117) |
High School Diploma | 7.3% (9,232) | 7.5% (10,893) |
Less than High School | 7.1% (8,967) | 4.7% (6,845) |
Bachelor's Degree and Higher | 46.5% (58,962) | 25.5% (37,008) |
Education Levels Comparison: Santa clara vs Gainesville
- A higher percentage of residents in Santa clara have no formal schooling at 0.9% compared to 0.8% in Gainesville.
- In Gainesville, the rate of residents with high school diplomas is higher at 7.5% compared to 7.3% in Santa clara.
- More residents in Santa clara have less than a high school education at 7.1% compared to 4.7% in Gainesville.
- A higher percentage of residents in Santa clara hold a bachelor's degree or higher at 46.5% compared to 25.5% in Gainesville.
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.