Demographics details for Alameda, CA vs Taylor, PA
Population Overview
Compare main population characteristics in Alameda, CA vs Taylor, PA.
| Data | Alameda | Taylor |
|---|---|---|
| Population | 76,040 | 6,251 |
| Median Age | 40.6 years | 38.4 years |
| Median Income | $129,917 | $57,667 |
| Married Families | 44.0% | 29.0% |
| Poverty Level | 7% | 10% |
| Unemployment Rate | 4.6 | 5.0 |
Population Comparison: Alameda vs Taylor
- In Alameda, the population is higher at 76,040, compared to 6,251 in Taylor.
- Residents in Alameda have a higher median age of 40.6 years compared to 38.4 years in Taylor.
- Alameda has a higher median income of $129,917 compared to $57,667 in Taylor.
- A higher percentage of married families is found in Alameda at 44.0% compared to 29.0% in Taylor.
- The poverty level is higher in Taylor at 10%, compared to 7% in Alameda.
- Taylor has a higher unemployment rate at 5.0% compared to 4.6% in Alameda.
Demographics
Demographics Alameda vs Taylor provide insight into the diversity of the communities to compare.
| Demographic | Alameda | Taylor |
|---|---|---|
| Black | 7 | 1 |
| White | 37 | 76 |
| Asian | 32 | 1 |
| Hispanic | 12 | 15 |
| Two or More Races | 12 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Alameda vs Taylor
- A higher percentage of Black residents are in Alameda at 7% compared to 1% in Taylor.
- The percentage of White residents is higher in Taylor at 76% compared to 37% in Alameda.
- The Asian population is larger in Alameda at 32% compared to 1% in Taylor.
- Taylor has a higher percentage of Hispanic residents at 15%, compared to 12% in Alameda.
- More residents identify as two or more races in Alameda at 12% compared to 7% in Taylor.
- The percentage of American Indian residents is the same in both Alameda and Taylor at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Alameda | Taylor |
|---|---|---|
| Mental Health Not Good | 14.0% | 18.7% |
| Physical Health Not Good | 8.2% | 13.5% |
| Depression | 17.2% | 24.8% |
| Smoking | 8.9% | 22.9% |
| Binge Drinking | 15.5% | 16.8% |
| Obesity | 23.5% | 34.6% |
| Disability Percentage | 10.0% | 18.0% |
Health Statistics Comparison: Alameda vs Taylor
- In Taylor, a higher percentage report poor mental health at 18.7% compared to 14.0% in Alameda.
- Higher depression rates are seen in Taylor at 24.8% versus 17.2% in Alameda.
- Taylor has a higher smoking rate at 22.9% compared to 8.9% in Alameda.
- More residents engage in binge drinking in Taylor at 16.8% compared to 15.5% in Alameda.
- Taylor has higher obesity rates at 34.6% compared to 23.5% in Alameda.
- There is a higher percentage of disabled individuals in Taylor at 18.0% compared to 10.0% in Alameda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Alameda | Taylor |
|---|---|---|
| No Schooling | 1.1% (864) | 0.7% (42) |
| High School Diploma | 7.0% (5,348) | 28.0% (1,753) |
| Less than High School | 6.8% (5,184) | 15.4% (963) |
| Bachelor's Degree and Higher | 44.5% (33,855) | 15.2% (951) |
Education Levels Comparison: Alameda vs Taylor
- A higher percentage of residents in Alameda have no formal schooling at 1.1% compared to 0.7% in Taylor.
- In Taylor, the rate of residents with high school diplomas is higher at 28.0% compared to 7.0% in Alameda.
- The percentage of residents with less than a high school education is higher in Taylor at 15.4%, compared to 6.8% in Alameda.
- A higher percentage of residents in Alameda hold a bachelor's degree or higher at 44.5% compared to 15.2% in Taylor.
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.