Demographics details for Seattle, WA vs Allentown, PA
Population Overview
Compare main population characteristics in Seattle, WA vs Allentown, PA.
| Data | Seattle | Allentown |
|---|---|---|
| Population | 749,256 | 125,094 |
| Median Age | 35.4 years | 32.4 years |
| Median Income | $116,068 | $52,449 |
| Married Families | 35.0% | 28.0% |
| Poverty Level | 9% | 18% |
| Unemployment Rate | 4.6 | 4.4 |
Population Comparison: Seattle vs Allentown
- In Seattle, the population is higher at 749,256, compared to 125,094 in Allentown.
- Residents in Seattle have a higher median age of 35.4 years compared to 32.4 years in Allentown.
- Seattle has a higher median income of $116,068 compared to $52,449 in Allentown.
- A higher percentage of married families is found in Seattle at 35.0% compared to 28.0% in Allentown.
- The poverty level is higher in Allentown at 18%, compared to 9% in Seattle.
- The unemployment rate in Seattle is higher at 4.6%, compared to 4.4% in Allentown.
Demographics
Demographics Seattle vs Allentown provide insight into the diversity of the communities to compare.
| Demographic | Seattle | Allentown |
|---|---|---|
| Black | 7 | 13 |
| White | 59 | 11 |
| Asian | 17 | 3 |
| Hispanic | 7 | 54 |
| Two or More Races | 9 | 18 |
| American Indian | 1 | 1 |
Demographics Comparison: Seattle vs Allentown
- In Allentown, the percentage of Black residents is higher at 13% compared to 7% in Seattle.
- Seattle has a higher percentage of White residents at 59% compared to 11% in Allentown.
- The Asian population is larger in Seattle at 17% compared to 3% in Allentown.
- Allentown has a higher percentage of Hispanic residents at 54%, compared to 7% in Seattle.
- The percentage of residents identifying as two or more races is higher in Allentown at 18%, compared to 9% in Seattle.
- The percentage of American Indian residents is the same in both Seattle and Allentown at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seattle | Allentown |
|---|---|---|
| Mental Health Not Good | 15.1% | 18.4% |
| Physical Health Not Good | 8.5% | 15.1% |
| Depression | 23.6% | 22.1% |
| Smoking | 8.6% | 23.2% |
| Binge Drinking | 17.6% | 15.6% |
| Obesity | 23.8% | 39.2% |
| Disability Percentage | 9.0% | 16.0% |
Health Statistics Comparison: Seattle vs Allentown
- In Allentown, a higher percentage report poor mental health at 18.4% compared to 15.1% in Seattle.
- Depression is more prevalent in Seattle at 23.6% compared to 22.1% in Allentown.
- Allentown has a higher smoking rate at 23.2% compared to 8.6% in Seattle.
- Binge drinking is more common in Seattle at 17.6% compared to 15.6% in Allentown.
- Allentown has higher obesity rates at 39.2% compared to 23.8% in Seattle.
- There is a higher percentage of disabled individuals in Allentown at 16.0% compared to 9.0% in Seattle.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Seattle | Allentown |
|---|---|---|
| No Schooling | 0.9% (6,839) | 1.6% (2,024) |
| High School Diploma | 5.8% (43,106) | 20.1% (25,101) |
| Less than High School | 4.7% (35,004) | 21.8% (27,290) |
| Bachelor's Degree and Higher | 49.4% (369,798) | 11.5% (14,387) |
Education Levels Comparison: Seattle vs Allentown
- In Allentown, a larger percentage of residents lack formal schooling at 1.6% compared to 0.9% in Seattle.
- In Allentown, the rate of residents with high school diplomas is higher at 20.1% compared to 5.8% in Seattle.
- The percentage of residents with less than a high school education is higher in Allentown at 21.8%, compared to 4.7% in Seattle.
- A higher percentage of residents in Seattle hold a bachelor's degree or higher at 49.4% compared to 11.5% in Allentown.
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.