Demographics details for Santa clarita, CA vs Daytona beach, FL
Population Overview
Compare main population characteristics in Santa clarita, CA vs Daytona beach, FL.
Data | Santa clarita | Daytona beach |
---|---|---|
Population | 221,345 | 77,958 |
Median Age | 37.3 years | 40.2 years |
Median Income | $116,186 | $47,608 |
Married Families | 43.0% | 27.0% |
Poverty Level | 8% | 15% |
Unemployment Rate | 5.7 | 5.0 |
Population Comparison: Santa clarita vs Daytona beach
- In Santa clarita, the population is higher at 221,345, compared to 77,958 in Daytona beach.
- The median age in Daytona beach is higher at 40.2 years, compared to 37.3 years in Santa clarita.
- Santa clarita has a higher median income of $116,186 compared to $47,608 in Daytona beach.
- A higher percentage of married families is found in Santa clarita at 43.0% compared to 27.0% in Daytona beach.
- The poverty level is higher in Daytona beach at 15%, compared to 8% in Santa clarita.
- The unemployment rate in Santa clarita is higher at 5.7%, compared to 5.0% in Daytona beach.
Demographics
Demographics Santa clarita vs Daytona beach provide insight into the diversity of the communities to compare.
Demographic | Santa clarita | Daytona beach |
---|---|---|
Black | 4 | 30 |
White | 30 | 52 |
Asian | 11 | 3 |
Hispanic | 37 | 10 |
Two or More Races | 17 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Santa clarita vs Daytona beach
- In Daytona beach, the percentage of Black residents is higher at 30% compared to 4% in Santa clarita.
- The percentage of White residents is higher in Daytona beach at 52% compared to 30% in Santa clarita.
- The Asian population is larger in Santa clarita at 11% compared to 3% in Daytona beach.
- The Hispanic community is larger in Santa clarita at 37% compared to 10% in Daytona beach.
- More residents identify as two or more races in Santa clarita at 17% compared to 5% in Daytona beach.
- A greater percentage of American Indian residents live in Santa clarita at 1% compared to 0% in Daytona beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa clarita | Daytona beach |
---|---|---|
Mental Health Not Good | 14.7% | 17.9% |
Physical Health Not Good | 9.6% | 13.9% |
Depression | 16.8% | 20.8% |
Smoking | 9.7% | 25.2% |
Binge Drinking | 17.1% | 16.0% |
Obesity | 26.2% | 38.5% |
Disability Percentage | 10.0% | 17.0% |
Health Statistics Comparison: Santa clarita vs Daytona beach
- In Daytona beach, a higher percentage report poor mental health at 17.9% compared to 14.7% in Santa clarita.
- Higher depression rates are seen in Daytona beach at 20.8% versus 16.8% in Santa clarita.
- Daytona beach has a higher smoking rate at 25.2% compared to 9.7% in Santa clarita.
- Binge drinking is more common in Santa clarita at 17.1% compared to 16.0% in Daytona beach.
- Daytona beach has higher obesity rates at 38.5% compared to 26.2% in Santa clarita.
- There is a higher percentage of disabled individuals in Daytona beach at 17.0% compared to 10.0% in Santa clarita.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Santa clarita | Daytona beach |
---|---|---|
No Schooling | 1.4% (3,097) | 1.4% (1,065) |
High School Diploma | 10.7% (23,725) | 17.5% (13,654) |
Less than High School | 11.7% (25,882) | 11.3% (8,833) |
Bachelor's Degree and Higher | 26.1% (57,684) | 16.5% (12,881) |
Education Levels Comparison: Santa clarita vs Daytona beach
- The percentage of residents with no formal schooling is the same in both Santa clarita and Daytona beach at 1.4%.
- In Daytona beach, the rate of residents with high school diplomas is higher at 17.5% compared to 10.7% in Santa clarita.
- More residents in Santa clarita have less than a high school education at 11.7% compared to 11.3% in Daytona beach.
- A higher percentage of residents in Santa clarita hold a bachelor's degree or higher at 26.1% compared to 16.5% in Daytona beach.
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.