Demographics details for Pasadena, CA vs Waycross, GA
Population Overview
Compare main population characteristics in Pasadena, CA vs Waycross, GA.
| Data | Pasadena | Waycross |
|---|---|---|
| Population | 134,211 | 13,741 |
| Median Age | 39.9 years | 34.7 years |
| Median Income | $97,818 | $36,818 |
| Married Families | 37.0% | 20.0% |
| Poverty Level | 14% | 21% |
| Unemployment Rate | 5.3 | 6.5 |
Population Comparison: Pasadena vs Waycross
- In Pasadena, the population is higher at 134,211, compared to 13,741 in Waycross.
- Residents in Pasadena have a higher median age of 39.9 years compared to 34.7 years in Waycross.
- Pasadena has a higher median income of $97,818 compared to $36,818 in Waycross.
- A higher percentage of married families is found in Pasadena at 37.0% compared to 20.0% in Waycross.
- The poverty level is higher in Waycross at 21%, compared to 14% in Pasadena.
- Waycross has a higher unemployment rate at 6.5% compared to 5.3% in Pasadena.
Demographics
Demographics Pasadena vs Waycross provide insight into the diversity of the communities to compare.
| Demographic | Pasadena | Waycross |
|---|---|---|
| Black | 8 | 56 |
| White | 24 | 32 |
| Asian | 18 | Data is updating |
| Hispanic | 36 | 6 |
| Two or More Races | 13 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pasadena vs Waycross
- In Waycross, the percentage of Black residents is higher at 56% compared to 8% in Pasadena.
- The percentage of White residents is higher in Waycross at 32% compared to 24% in Pasadena.
- The Asian population is larger in Pasadena at 18% compared to 0% in Waycross.
- The Hispanic community is larger in Pasadena at 36% compared to 6% in Waycross.
- More residents identify as two or more races in Pasadena at 13% compared to 6% in Waycross.
- A greater percentage of American Indian residents live in Pasadena at 1% compared to 0% in Waycross.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pasadena | Waycross |
|---|---|---|
| Mental Health Not Good | 14.2% | 19.4% |
| Physical Health Not Good | 9.7% | 15.7% |
| Depression | 15.4% | 21.6% |
| Smoking | 9.3% | 23.2% |
| Binge Drinking | 15.4% | 12.9% |
| Obesity | 26.6% | 45.7% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Pasadena vs Waycross
- In Waycross, a higher percentage report poor mental health at 19.4% compared to 14.2% in Pasadena.
- Higher depression rates are seen in Waycross at 21.6% versus 15.4% in Pasadena.
- Waycross has a higher smoking rate at 23.2% compared to 9.3% in Pasadena.
- Binge drinking is more common in Pasadena at 15.4% compared to 12.9% in Waycross.
- Waycross has higher obesity rates at 45.7% compared to 26.6% in Pasadena.
- There is a higher percentage of disabled individuals in Waycross at 12.0% 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 | Waycross |
|---|---|---|
| No Schooling | 1.8% (2,430) | 1.2% (166) |
| High School Diploma | 9.9% (13,275) | 19.8% (2,727) |
| Less than High School | 15.0% (20,140) | 15.5% (2,123) |
| Bachelor's Degree and Higher | 42.2% (56,583) | 11.4% (1,561) |
Education Levels Comparison: Pasadena vs Waycross
- A higher percentage of residents in Pasadena have no formal schooling at 1.8% compared to 1.2% in Waycross.
- In Waycross, the rate of residents with high school diplomas is higher at 19.8% compared to 9.9% in Pasadena.
- The percentage of residents with less than a high school education is higher in Waycross at 15.5%, compared to 15.0% in Pasadena.
- A higher percentage of residents in Pasadena hold a bachelor's degree or higher at 42.2% compared to 11.4% in Waycross.
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.