Demographics details for Webster, FL vs Federal way, WA
Population Overview
Compare main population characteristics in Webster, FL vs Federal way, WA.
| Data | Webster | Federal way |
|---|---|---|
| Population | 878 | 97,863 |
| Median Age | 42.4 years | 37.4 years |
| Median Income | $53,125 | $80,360 |
| Married Families | 35.0% | 39.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 3.5 | 5.7 |
Population Comparison: Webster vs Federal way
- The population in Federal way is higher at 97,863, compared to 878 in Webster.
- Residents in Webster have a higher median age of 42.4 years compared to 37.4 years in Federal way.
- Federal way has a higher median income of $80,360, compared to $53,125 in Webster.
- In Federal way, the percentage of married families is higher at 39.0%, compared to 35.0% in Webster.
- Webster has a higher poverty level at 12% compared to 9% in Federal way.
- Federal way has a higher unemployment rate at 5.7% compared to 3.5% in Webster.
Demographics
Demographics Webster vs Federal way provide insight into the diversity of the communities to compare.
| Demographic | Webster | Federal way |
|---|---|---|
| Black | 15 | 17 |
| White | 75 | 34 |
| Asian | Data is updating | 15 |
| Hispanic | 62 | 19 |
| Two or More Races | 31 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Webster vs Federal way
- In Federal way, the percentage of Black residents is higher at 17% compared to 15% in Webster.
- Webster has a higher percentage of White residents at 75% compared to 34% in Federal way.
- In Federal way, the Asian population stands at 15%, greater than 0% in Webster.
- The Hispanic community is larger in Webster at 62% compared to 19% in Federal way.
- More residents identify as two or more races in Webster at 31% compared to 14% in Federal way.
- In Federal way, the percentage of American Indian residents is higher at 1%, compared to 0% in Webster.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Webster | Federal way |
|---|---|---|
| Mental Health Not Good | 18.9% | 17.5% |
| Physical Health Not Good | 15.6% | 10.9% |
| Depression | 20.6% | 24.7% |
| Smoking | 26.9% | 12.7% |
| Binge Drinking | 14.7% | 16.5% |
| Obesity | 42.4% | 27.2% |
| Disability Percentage | 19.0% | 12.0% |
Health Statistics Comparison: Webster vs Federal way
- More residents in Webster report poor mental health at 18.9% compared to 17.5% in Federal way.
- Higher depression rates are seen in Federal way at 24.7% versus 20.6% in Webster.
- Smoking is more prevalent in Webster at 26.9% compared to 12.7% in Federal way.
- More residents engage in binge drinking in Federal way at 16.5% compared to 14.7% in Webster.
- Obesity rates are higher in Webster at 42.4% compared to 27.2% in Federal way.
- Disability percentages are higher in Webster at 19.0% 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 | Webster | Federal way |
|---|---|---|
| No Schooling | 5.8% (51) | 1.8% (1,735) |
| High School Diploma | 32.9% (289) | 15.3% (15,003) |
| Less than High School | 36.4% (320) | 11.0% (10,805) |
| Bachelor's Degree and Higher | 9.3% (82) | 21.2% (20,761) |
Education Levels Comparison: Webster vs Federal way
- A higher percentage of residents in Webster have no formal schooling at 5.8% compared to 1.8% in Federal way.
- A higher percentage of residents in Webster hold a high school diploma at 32.9% compared to 15.3% in Federal way.
- More residents in Webster have less than a high school education at 36.4% compared to 11.0% in Federal way.
- In Federal way, a larger share of residents have a bachelor's degree or higher at 21.2% compared to 9.3% in Webster.
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.