Demographics details for Lima, OH vs Federal way, WA
Population Overview
Compare main population characteristics in Lima, OH vs Federal way, WA.
| Data | Lima | Federal way |
|---|---|---|
| Population | 34,977 | 97,863 |
| Median Age | 34.7 years | 37.4 years |
| Median Income | $41,824 | $80,360 |
| Married Families | 23.0% | 39.0% |
| Poverty Level | 20% | 9% |
| Unemployment Rate | 6.9 | 5.7 |
Population Comparison: Lima vs Federal way
- The population in Federal way is higher at 97,863, compared to 34,977 in Lima.
- The median age in Federal way is higher at 37.4 years, compared to 34.7 years in Lima.
- Federal way has a higher median income of $80,360, compared to $41,824 in Lima.
- In Federal way, the percentage of married families is higher at 39.0%, compared to 23.0% in Lima.
- Lima has a higher poverty level at 20% compared to 9% in Federal way.
- The unemployment rate in Lima is higher at 6.9%, compared to 5.7% in Federal way.
Demographics
Demographics Lima vs Federal way provide insight into the diversity of the communities to compare.
| Demographic | Lima | Federal way |
|---|---|---|
| Black | 24 | 17 |
| White | 62 | 34 |
| Asian | Data is updating | 15 |
| Hispanic | 5 | 19 |
| Two or More Races | 9 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lima vs Federal way
- A higher percentage of Black residents are in Lima at 24% compared to 17% in Federal way.
- Lima has a higher percentage of White residents at 62% compared to 34% in Federal way.
- In Federal way, the Asian population stands at 15%, greater than 0% in Lima.
- Federal way has a higher percentage of Hispanic residents at 19%, compared to 5% in Lima.
- The percentage of residents identifying as two or more races is higher in Federal way at 14%, compared to 9% in Lima.
- In Federal way, the percentage of American Indian residents is higher at 1%, compared to 0% in Lima.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lima | Federal way |
|---|---|---|
| Mental Health Not Good | 19.6% | 17.5% |
| Physical Health Not Good | 15.0% | 10.9% |
| Depression | 25.0% | 24.7% |
| Smoking | 27.2% | 12.7% |
| Binge Drinking | 17.3% | 16.5% |
| Obesity | 47.4% | 27.2% |
| Disability Percentage | 19.0% | 12.0% |
Health Statistics Comparison: Lima vs Federal way
- More residents in Lima report poor mental health at 19.6% compared to 17.5% in Federal way.
- Depression is more prevalent in Lima at 25.0% compared to 24.7% in Federal way.
- Smoking is more prevalent in Lima at 27.2% compared to 12.7% in Federal way.
- Binge drinking is more common in Lima at 17.3% compared to 16.5% in Federal way.
- Obesity rates are higher in Lima at 47.4% compared to 27.2% in Federal way.
- Disability percentages are higher in Lima 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 | Lima | Federal way |
|---|---|---|
| No Schooling | 0.7% (247) | 1.8% (1,735) |
| High School Diploma | 22.7% (7,927) | 15.3% (15,003) |
| Less than High School | 12.9% (4,523) | 11.0% (10,805) |
| Bachelor's Degree and Higher | 7.0% (2,437) | 21.2% (20,761) |
Education Levels Comparison: Lima vs Federal way
- In Federal way, a larger percentage of residents lack formal schooling at 1.8% compared to 0.7% in Lima.
- A higher percentage of residents in Lima hold a high school diploma at 22.7% compared to 15.3% in Federal way.
- More residents in Lima have less than a high school education at 12.9% 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 7.0% in Lima.
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.