Demographics details for Pasadena, CA vs Daytona beach, FL
Population Overview
Compare main population characteristics in Pasadena, CA vs Daytona beach, FL.
Data | Pasadena | Daytona beach |
---|---|---|
Population | 134,211 | 77,958 |
Median Age | 39.9 years | 40.2 years |
Median Income | $97,818 | $47,608 |
Married Families | 37.0% | 27.0% |
Poverty Level | 14% | 15% |
Unemployment Rate | 5.3 | 5.0 |
Population Comparison: Pasadena vs Daytona beach
- In Pasadena, the population is higher at 134,211, compared to 77,958 in Daytona beach.
- The median age in Daytona beach is higher at 40.2 years, compared to 39.9 years in Pasadena.
- Pasadena has a higher median income of $97,818 compared to $47,608 in Daytona beach.
- A higher percentage of married families is found in Pasadena at 37.0% compared to 27.0% in Daytona beach.
- The poverty level is higher in Daytona beach at 15%, compared to 14% in Pasadena.
- The unemployment rate in Pasadena is higher at 5.3%, compared to 5.0% in Daytona beach.
Demographics
Demographics Pasadena vs Daytona beach provide insight into the diversity of the communities to compare.
Demographic | Pasadena | Daytona beach |
---|---|---|
Black | 8 | 30 |
White | 24 | 52 |
Asian | 18 | 3 |
Hispanic | 36 | 10 |
Two or More Races | 13 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Pasadena vs Daytona beach
- In Daytona beach, the percentage of Black residents is higher at 30% compared to 8% in Pasadena.
- The percentage of White residents is higher in Daytona beach at 52% compared to 24% in Pasadena.
- The Asian population is larger in Pasadena at 18% compared to 3% in Daytona beach.
- The Hispanic community is larger in Pasadena at 36% compared to 10% in Daytona beach.
- More residents identify as two or more races in Pasadena at 13% compared to 5% in Daytona beach.
- A greater percentage of American Indian residents live in Pasadena at 1% compared to 0% in Daytona beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pasadena | Daytona beach |
---|---|---|
Mental Health Not Good | 14.2% | 17.9% |
Physical Health Not Good | 9.7% | 13.9% |
Depression | 15.4% | 20.8% |
Smoking | 9.3% | 25.2% |
Binge Drinking | 15.4% | 16.0% |
Obesity | 26.6% | 38.5% |
Disability Percentage | 9.0% | 17.0% |
Health Statistics Comparison: Pasadena vs Daytona beach
- In Daytona beach, a higher percentage report poor mental health at 17.9% compared to 14.2% in Pasadena.
- Higher depression rates are seen in Daytona beach at 20.8% versus 15.4% in Pasadena.
- Daytona beach has a higher smoking rate at 25.2% compared to 9.3% in Pasadena.
- More residents engage in binge drinking in Daytona beach at 16.0% compared to 15.4% in Pasadena.
- Daytona beach has higher obesity rates at 38.5% compared to 26.6% in Pasadena.
- There is a higher percentage of disabled individuals in Daytona beach at 17.0% compared to 9.0% in Pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pasadena | Daytona beach |
---|---|---|
No Schooling | 1.8% (2,430) | 1.4% (1,065) |
High School Diploma | 9.9% (13,275) | 17.5% (13,654) |
Less than High School | 15.0% (20,140) | 11.3% (8,833) |
Bachelor's Degree and Higher | 42.2% (56,583) | 16.5% (12,881) |
Education Levels Comparison: Pasadena vs Daytona beach
- A higher percentage of residents in Pasadena have no formal schooling at 1.8% compared to 1.4% in Daytona beach.
- In Daytona beach, the rate of residents with high school diplomas is higher at 17.5% compared to 9.9% in Pasadena.
- More residents in Pasadena have less than a high school education at 15.0% compared to 11.3% in Daytona beach.
- A higher percentage of residents in Pasadena hold a bachelor's degree or higher at 42.2% 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.