Demographics details for Waterproof, LA vs Pasadena, CA
Population Overview
Compare main population characteristics in Waterproof, LA vs Pasadena, CA.
| Data | Waterproof | Pasadena |
|---|---|---|
| Population | 499 | 134,211 |
| Median Age | 37.0 years | 39.9 years |
| Median Income | $21,953 | $97,818 |
| Married Families | 9.0% | 37.0% |
| Poverty Level | 30% | 14% |
| Unemployment Rate | 5.0 | 5.3 |
Population Comparison: Waterproof vs Pasadena
- The population in Pasadena is higher at 134,211, compared to 499 in Waterproof.
- The median age in Pasadena is higher at 39.9 years, compared to 37.0 years in Waterproof.
- Pasadena has a higher median income of $97,818, compared to $21,953 in Waterproof.
- In Pasadena, the percentage of married families is higher at 37.0%, compared to 9.0% in Waterproof.
- Waterproof has a higher poverty level at 30% compared to 14% in Pasadena.
- Pasadena has a higher unemployment rate at 5.3% compared to 5.0% in Waterproof.
Demographics
Demographics Waterproof vs Pasadena provide insight into the diversity of the communities to compare.
| Demographic | Waterproof | Pasadena |
|---|---|---|
| Black | 103 | 8 |
| White | -12 | 24 |
| Asian | 7 | 18 |
| Hispanic | Data is updating | 36 |
| Two or More Races | 2 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Waterproof vs Pasadena
- A higher percentage of Black residents are in Waterproof at 103% compared to 8% in Pasadena.
- The percentage of White residents is higher in Pasadena at 24% compared to -12% in Waterproof.
- In Pasadena, the Asian population stands at 18%, greater than 7% in Waterproof.
- Pasadena has a higher percentage of Hispanic residents at 36%, compared to 0% in Waterproof.
- The percentage of residents identifying as two or more races is higher in Pasadena at 13%, compared to 2% in Waterproof.
- In Pasadena, the percentage of American Indian residents is higher at 1%, compared to 0% in Waterproof.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterproof | Pasadena |
|---|---|---|
| Mental Health Not Good | 24.5% | 14.2% |
| Physical Health Not Good | 20.0% | 9.7% |
| Depression | 25.1% | 15.4% |
| Smoking | 33.7% | 9.3% |
| Binge Drinking | 11.8% | 15.4% |
| Obesity | 53.1% | 26.6% |
| Disability Percentage | 22.0% | 9.0% |
Health Statistics Comparison: Waterproof vs Pasadena
- More residents in Waterproof report poor mental health at 24.5% compared to 14.2% in Pasadena.
- Depression is more prevalent in Waterproof at 25.1% compared to 15.4% in Pasadena.
- Smoking is more prevalent in Waterproof at 33.7% compared to 9.3% in Pasadena.
- More residents engage in binge drinking in Pasadena at 15.4% compared to 11.8% in Waterproof.
- Obesity rates are higher in Waterproof at 53.1% compared to 26.6% in Pasadena.
- Disability percentages are higher in Waterproof at 22.0% 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 | Waterproof | Pasadena |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.8% (2,430) |
| High School Diploma | 27.7% (138) | 9.9% (13,275) |
| Less than High School | 10.6% (53) | 15.0% (20,140) |
| Bachelor's Degree and Higher | 12.8% (64) | 42.2% (56,583) |
Education Levels Comparison: Waterproof vs Pasadena
- In Pasadena, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Waterproof.
- A higher percentage of residents in Waterproof hold a high school diploma at 27.7% compared to 9.9% in Pasadena.
- The percentage of residents with less than a high school education is higher in Pasadena at 15.0%, compared to 10.6% in Waterproof.
- In Pasadena, a larger share of residents have a bachelor's degree or higher at 42.2% compared to 12.8% in Waterproof.
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.