Demographics details for Rising star, TX vs Federal way, WA
Population Overview
Compare main population characteristics in Rising star, TX vs Federal way, WA.
Data | Rising star | Federal way |
---|---|---|
Population | 765 | 97,863 |
Median Age | 44.1 years | 37.4 years |
Median Income | $32,697 | $80,360 |
Married Families | 22.0% | 39.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 3.2 | 5.7 |
Population Comparison: Rising star vs Federal way
- The population in Federal way is higher at 97,863, compared to 765 in Rising star.
- Residents in Rising star have a higher median age of 44.1 years compared to 37.4 years in Federal way.
- Federal way has a higher median income of $80,360, compared to $32,697 in Rising star.
- In Federal way, the percentage of married families is higher at 39.0%, compared to 22.0% in Rising star.
- Rising star has a higher poverty level at 10% compared to 9% in Federal way.
- Federal way has a higher unemployment rate at 5.7% compared to 3.2% in Rising star.
Demographics
Demographics Rising star vs Federal way provide insight into the diversity of the communities to compare.
Demographic | Rising star | Federal way |
---|---|---|
Black | Data is updating | 17 |
White | 76 | 34 |
Asian | Data is updating | 15 |
Hispanic | 18 | 19 |
Two or More Races | 6 | 14 |
American Indian | Data is updating | 1 |
Demographics Comparison: Rising star vs Federal way
- In Federal way, the percentage of Black residents is higher at 17% compared to 0% in Rising star.
- Rising star has a higher percentage of White residents at 76% compared to 34% in Federal way.
- In Federal way, the Asian population stands at 15%, greater than 0% in Rising star.
- Federal way has a higher percentage of Hispanic residents at 19%, compared to 18% in Rising star.
- The percentage of residents identifying as two or more races is higher in Federal way at 14%, compared to 6% in Rising star.
- In Federal way, the percentage of American Indian residents is higher at 1%, compared to 0% in Rising star.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Rising star | Federal way |
---|---|---|
Mental Health Not Good | 19.3% | 17.5% |
Physical Health Not Good | 13.0% | 10.9% |
Depression | 26.6% | 24.7% |
Smoking | 20.2% | 12.7% |
Binge Drinking | 18.7% | 16.5% |
Obesity | 37.0% | 27.2% |
Disability Percentage | 21.0% | 12.0% |
Health Statistics Comparison: Rising star vs Federal way
- More residents in Rising star report poor mental health at 19.3% compared to 17.5% in Federal way.
- Depression is more prevalent in Rising star at 26.6% compared to 24.7% in Federal way.
- Smoking is more prevalent in Rising star at 20.2% compared to 12.7% in Federal way.
- Binge drinking is more common in Rising star at 18.7% compared to 16.5% in Federal way.
- Obesity rates are higher in Rising star at 37.0% compared to 27.2% in Federal way.
- Disability percentages are higher in Rising star at 21.0% 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 | Rising star | Federal way |
---|---|---|
No Schooling | 1.4% (11) | 1.8% (1,735) |
High School Diploma | 14.4% (110) | 15.3% (15,003) |
Less than High School | 25.1% (192) | 11.0% (10,805) |
Bachelor's Degree and Higher | 2.0% (15) | 21.2% (20,761) |
Education Levels Comparison: Rising star vs Federal way
- In Federal way, a larger percentage of residents lack formal schooling at 1.8% compared to 1.4% in Rising star.
- In Federal way, the rate of residents with high school diplomas is higher at 15.3% compared to 14.4% in Rising star.
- More residents in Rising star have less than a high school education at 25.1% 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 2.0% in Rising star.
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.