Demographics details for South pasadena, CA vs Winder, GA
Population Overview
Compare main population characteristics in South pasadena, CA vs Winder, GA.
| Data | South pasadena | Winder |
|---|---|---|
| Population | 25,850 | 19,400 |
| Median Age | 40.6 years | 36.4 years |
| Median Income | $127,882 | $57,365 |
| Married Families | 45.0% | 34.0% |
| Poverty Level | 8% | 13% |
| Unemployment Rate | 5.1 | 3.5 |
Population Comparison: South pasadena vs Winder
- In South pasadena, the population is higher at 25,850, compared to 19,400 in Winder.
- Residents in South pasadena have a higher median age of 40.6 years compared to 36.4 years in Winder.
- South pasadena has a higher median income of $127,882 compared to $57,365 in Winder.
- A higher percentage of married families is found in South pasadena at 45.0% compared to 34.0% in Winder.
- The poverty level is higher in Winder at 13%, compared to 8% in South pasadena.
- The unemployment rate in South pasadena is higher at 5.1%, compared to 3.5% in Winder.
Demographics
Demographics South pasadena vs Winder provide insight into the diversity of the communities to compare.
| Demographic | South pasadena | Winder |
|---|---|---|
| Black | 4 | 20 |
| White | 31 | 53 |
| Asian | 34 | 2 |
| Hispanic | 19 | 15 |
| Two or More Races | 12 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: South pasadena vs Winder
- In Winder, the percentage of Black residents is higher at 20% compared to 4% in South pasadena.
- The percentage of White residents is higher in Winder at 53% compared to 31% in South pasadena.
- The Asian population is larger in South pasadena at 34% compared to 2% in Winder.
- The Hispanic community is larger in South pasadena at 19% compared to 15% in Winder.
- More residents identify as two or more races in South pasadena at 12% compared to 10% in Winder.
- The percentage of American Indian residents is the same in both South pasadena and Winder at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | South pasadena | Winder |
|---|---|---|
| Mental Health Not Good | 11.9% | 17.9% |
| Physical Health Not Good | 7.1% | 12.9% |
| Depression | 13.8% | 22.6% |
| Smoking | 6.3% | 19.8% |
| Binge Drinking | 15.3% | 15.5% |
| Obesity | 20.9% | 40.9% |
| Disability Percentage | 7.0% | 14.0% |
Health Statistics Comparison: South pasadena vs Winder
- In Winder, a higher percentage report poor mental health at 17.9% compared to 11.9% in South pasadena.
- Higher depression rates are seen in Winder at 22.6% versus 13.8% in South pasadena.
- Winder has a higher smoking rate at 19.8% compared to 6.3% in South pasadena.
- More residents engage in binge drinking in Winder at 15.5% compared to 15.3% in South pasadena.
- Winder has higher obesity rates at 40.9% compared to 20.9% in South pasadena.
- There is a higher percentage of disabled individuals in Winder at 14.0% compared to 7.0% in South pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | South pasadena | Winder |
|---|---|---|
| No Schooling | 0.7% (177) | 1.2% (240) |
| High School Diploma | 4.3% (1,111) | 15.8% (3,070) |
| Less than High School | 3.0% (766) | 14.0% (2,718) |
| Bachelor's Degree and Higher | 53.2% (13,751) | 13.0% (2,516) |
Education Levels Comparison: South pasadena vs Winder
- In Winder, a larger percentage of residents lack formal schooling at 1.2% compared to 0.7% in South pasadena.
- In Winder, the rate of residents with high school diplomas is higher at 15.8% compared to 4.3% in South pasadena.
- The percentage of residents with less than a high school education is higher in Winder at 14.0%, compared to 3.0% in South pasadena.
- A higher percentage of residents in South pasadena hold a bachelor's degree or higher at 53.2% compared to 13.0% in Winder.
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.