Demographics details for Seattle, WA vs Independence, LA
Population Overview
Compare main population characteristics in Seattle, WA vs Independence, LA.
| Data | Seattle | Independence |
|---|---|---|
| Population | 749,256 | 1,644 |
| Median Age | 35.4 years | 36.0 years |
| Median Income | $116,068 | $41,071 |
| Married Families | 35.0% | 37.0% |
| Poverty Level | 9% | 23% |
| Unemployment Rate | 4.6 | 5.2 |
Population Comparison: Seattle vs Independence
- In Seattle, the population is higher at 749,256, compared to 1,644 in Independence.
- The median age in Independence is higher at 36.0 years, compared to 35.4 years in Seattle.
- Seattle has a higher median income of $116,068 compared to $41,071 in Independence.
- In Independence, the percentage of married families is higher at 37.0%, compared to 35.0% in Seattle.
- The poverty level is higher in Independence at 23%, compared to 9% in Seattle.
- Independence has a higher unemployment rate at 5.2% compared to 4.6% in Seattle.
Demographics
Demographics Seattle vs Independence provide insight into the diversity of the communities to compare.
| Demographic | Seattle | Independence |
|---|---|---|
| Black | 7 | 66 |
| White | 59 | 20 |
| Asian | 17 | Data is updating |
| Hispanic | 7 | 5 |
| Two or More Races | 9 | 9 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Seattle vs Independence
- In Independence, the percentage of Black residents is higher at 66% compared to 7% in Seattle.
- Seattle has a higher percentage of White residents at 59% compared to 20% in Independence.
- The Asian population is larger in Seattle at 17% compared to 0% in Independence.
- The Hispanic community is larger in Seattle at 7% compared to 5% in Independence.
- Both Seattle and Independence have the same percentage of residents identifying as two or more races at 9%.
- A greater percentage of American Indian residents live in Seattle at 1% compared to 0% in Independence.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seattle | Independence |
|---|---|---|
| Mental Health Not Good | 15.1% | 22.5% |
| Physical Health Not Good | 8.5% | 16.4% |
| Depression | 23.6% | 26.8% |
| Smoking | 8.6% | 26.7% |
| Binge Drinking | 17.6% | 16.5% |
| Obesity | 23.8% | 43.8% |
| Disability Percentage | 9.0% | 26.0% |
Health Statistics Comparison: Seattle vs Independence
- In Independence, a higher percentage report poor mental health at 22.5% compared to 15.1% in Seattle.
- Higher depression rates are seen in Independence at 26.8% versus 23.6% in Seattle.
- Independence has a higher smoking rate at 26.7% compared to 8.6% in Seattle.
- Binge drinking is more common in Seattle at 17.6% compared to 16.5% in Independence.
- Independence has higher obesity rates at 43.8% compared to 23.8% in Seattle.
- There is a higher percentage of disabled individuals in Independence at 26.0% 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 | Independence |
|---|---|---|
| No Schooling | 0.9% (6,839) | 0.4% (7) |
| High School Diploma | 5.8% (43,106) | 27.1% (445) |
| Less than High School | 4.7% (35,004) | 24.4% (401) |
| Bachelor's Degree and Higher | 49.4% (369,798) | 11.5% (189) |
Education Levels Comparison: Seattle vs Independence
- A higher percentage of residents in Seattle have no formal schooling at 0.9% compared to 0.4% in Independence.
- In Independence, the rate of residents with high school diplomas is higher at 27.1% compared to 5.8% in Seattle.
- The percentage of residents with less than a high school education is higher in Independence at 24.4%, 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 Independence.
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.