Demographics details for Leesburg, FL vs Federal way, WA
Population Overview
Compare main population characteristics in Leesburg, FL vs Federal way, WA.
Data | Leesburg | Federal way |
---|---|---|
Population | 29,178 | 97,863 |
Median Age | 43.6 years | 37.4 years |
Median Income | $43,733 | $80,360 |
Married Families | 35.0% | 39.0% |
Poverty Level | 11% | 9% |
Unemployment Rate | 4.4 | 5.7 |
Population Comparison: Leesburg vs Federal way
- The population in Federal way is higher at 97,863, compared to 29,178 in Leesburg.
- Residents in Leesburg have a higher median age of 43.6 years compared to 37.4 years in Federal way.
- Federal way has a higher median income of $80,360, compared to $43,733 in Leesburg.
- In Federal way, the percentage of married families is higher at 39.0%, compared to 35.0% in Leesburg.
- Leesburg has a higher poverty level at 11% compared to 9% in Federal way.
- Federal way has a higher unemployment rate at 5.7% compared to 4.4% in Leesburg.
Demographics
Demographics Leesburg vs Federal way provide insight into the diversity of the communities to compare.
Demographic | Leesburg | Federal way |
---|---|---|
Black | 19 | 17 |
White | 46 | 34 |
Asian | 1 | 15 |
Hispanic | 24 | 19 |
Two or More Races | 10 | 14 |
American Indian | Data is updating | 1 |
Demographics Comparison: Leesburg vs Federal way
- A higher percentage of Black residents are in Leesburg at 19% compared to 17% in Federal way.
- Leesburg has a higher percentage of White residents at 46% compared to 34% in Federal way.
- In Federal way, the Asian population stands at 15%, greater than 1% in Leesburg.
- The Hispanic community is larger in Leesburg at 24% compared to 19% in Federal way.
- The percentage of residents identifying as two or more races is higher in Federal way at 14%, compared to 10% in Leesburg.
- In Federal way, the percentage of American Indian residents is higher at 1%, compared to 0% in Leesburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Leesburg | Federal way |
---|---|---|
Mental Health Not Good | 18.0% | 17.5% |
Physical Health Not Good | 13.0% | 10.9% |
Depression | 21.1% | 24.7% |
Smoking | 23.6% | 12.7% |
Binge Drinking | 14.3% | 16.5% |
Obesity | 39.8% | 27.2% |
Disability Percentage | 19.0% | 12.0% |
Health Statistics Comparison: Leesburg vs Federal way
- More residents in Leesburg report poor mental health at 18.0% compared to 17.5% in Federal way.
- Higher depression rates are seen in Federal way at 24.7% versus 21.1% in Leesburg.
- Smoking is more prevalent in Leesburg at 23.6% compared to 12.7% in Federal way.
- More residents engage in binge drinking in Federal way at 16.5% compared to 14.3% in Leesburg.
- Obesity rates are higher in Leesburg at 39.8% compared to 27.2% in Federal way.
- Disability percentages are higher in Leesburg 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 | Leesburg | Federal way |
---|---|---|
No Schooling | 0.7% (209) | 1.8% (1,735) |
High School Diploma | 21.5% (6,277) | 15.3% (15,003) |
Less than High School | 11.4% (3,340) | 11.0% (10,805) |
Bachelor's Degree and Higher | 11.7% (3,428) | 21.2% (20,761) |
Education Levels Comparison: Leesburg vs Federal way
- In Federal way, a larger percentage of residents lack formal schooling at 1.8% compared to 0.7% in Leesburg.
- A higher percentage of residents in Leesburg hold a high school diploma at 21.5% compared to 15.3% in Federal way.
- More residents in Leesburg have less than a high school education at 11.4% 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 11.7% in Leesburg.
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.