Demographics details for Federal way, WA vs Sparks, NV
Population Overview
Compare main population characteristics in Federal way, WA vs Sparks, NV.
Data | Federal way | Sparks |
---|---|---|
Population | 97,863 | 109,226 |
Median Age | 37.4 years | 37.0 years |
Median Income | $80,360 | $82,938 |
Married Families | 39.0% | 38.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 5.7 | 5.0 |
Population Comparison: Federal way vs Sparks
- The population in Sparks is higher at 109,226, compared to 97,863 in Federal way.
- Residents in Federal way have a higher median age of 37.4 years compared to 37.0 years in Sparks.
- Sparks has a higher median income of $82,938, compared to $80,360 in Federal way.
- A higher percentage of married families is found in Federal way at 39.0% compared to 38.0% in Sparks.
- The poverty level is higher in Sparks at 10%, compared to 9% in Federal way.
- The unemployment rate in Federal way is higher at 5.7%, compared to 5.0% in Sparks.
Demographics
Demographics Federal way vs Sparks provide insight into the diversity of the communities to compare.
Demographic | Federal way | Sparks |
---|---|---|
Black | 17 | 2 |
White | 34 | 43 |
Asian | 15 | 5 |
Hispanic | 19 | 34 |
Two or More Races | 14 | 15 |
American Indian | 1 | 1 |
Demographics Comparison: Federal way vs Sparks
- A higher percentage of Black residents are in Federal way at 17% compared to 2% in Sparks.
- The percentage of White residents is higher in Sparks at 43% compared to 34% in Federal way.
- The Asian population is larger in Federal way at 15% compared to 5% in Sparks.
- Sparks has a higher percentage of Hispanic residents at 34%, compared to 19% in Federal way.
- The percentage of residents identifying as two or more races is higher in Sparks at 15%, compared to 14% in Federal way.
- The percentage of American Indian residents is the same in both Federal way and Sparks at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Federal way | Sparks |
---|---|---|
Mental Health Not Good | 17.5% | 18.3% |
Physical Health Not Good | 10.9% | 12.1% |
Depression | 24.7% | 19.9% |
Smoking | 12.7% | 17.0% |
Binge Drinking | 16.5% | 17.9% |
Obesity | 27.2% | 28.6% |
Disability Percentage | 12.0% | 13.0% |
Health Statistics Comparison: Federal way vs Sparks
- In Sparks, a higher percentage report poor mental health at 18.3% compared to 17.5% in Federal way.
- Depression is more prevalent in Federal way at 24.7% compared to 19.9% in Sparks.
- Sparks has a higher smoking rate at 17.0% compared to 12.7% in Federal way.
- More residents engage in binge drinking in Sparks at 17.9% compared to 16.5% in Federal way.
- Sparks has higher obesity rates at 28.6% compared to 27.2% in Federal way.
- There is a higher percentage of disabled individuals in Sparks at 13.0% compared to 12.0% in Federal way.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Federal way | Sparks |
---|---|---|
No Schooling | 1.8% (1,735) | 1.4% (1,548) |
High School Diploma | 15.3% (15,003) | 14.7% (16,026) |
Less than High School | 11.0% (10,805) | 18.1% (19,717) |
Bachelor's Degree and Higher | 21.2% (20,761) | 16.9% (18,457) |
Education Levels Comparison: Federal way vs Sparks
- A higher percentage of residents in Federal way have no formal schooling at 1.8% compared to 1.4% in Sparks.
- A higher percentage of residents in Federal way hold a high school diploma at 15.3% compared to 14.7% in Sparks.
- The percentage of residents with less than a high school education is higher in Sparks at 18.1%, compared to 11.0% in Federal way.
- A higher percentage of residents in Federal way hold a bachelor's degree or higher at 21.2% compared to 16.9% in Sparks.
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.