Demographics details for Lima, OH vs Maple valley, WA
Population Overview
Compare main population characteristics in Lima, OH vs Maple valley, WA.
| Data | Lima | Maple valley |
|---|---|---|
| Population | 34,977 | 28,220 |
| Median Age | 34.7 years | 36.4 years |
| Median Income | $41,824 | $137,595 |
| Married Families | 23.0% | 47.0% |
| Poverty Level | 20% | Data is updating |
| Unemployment Rate | 6.9 | 4.7 |
Population Comparison: Lima vs Maple valley
- In Lima, the population is higher at 34,977, compared to 28,220 in Maple valley.
- The median age in Maple valley is higher at 36.4 years, compared to 34.7 years in Lima.
- Maple valley has a higher median income of $137,595, compared to $41,824 in Lima.
- In Maple valley, the percentage of married families is higher at 47.0%, compared to 23.0% in Lima.
- Lima has a higher poverty level at 20% compared to 0% in Maple valley.
- The unemployment rate in Lima is higher at 6.9%, compared to 4.7% in Maple valley.
Demographics
Demographics Lima vs Maple valley provide insight into the diversity of the communities to compare.
| Demographic | Lima | Maple valley |
|---|---|---|
| Black | 24 | 2 |
| White | 62 | 74 |
| Asian | Data is updating | 11 |
| Hispanic | 5 | 5 |
| Two or More Races | 9 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lima vs Maple valley
- A higher percentage of Black residents are in Lima at 24% compared to 2% in Maple valley.
- The percentage of White residents is higher in Maple valley at 74% compared to 62% in Lima.
- In Maple valley, the Asian population stands at 11%, greater than 0% in Lima.
- The percentage of Hispanic residents is the same in both Lima and Maple valley at 5%.
- More residents identify as two or more races in Lima at 9% compared to 8% in Maple valley.
- The percentage of American Indian residents is the same in both Lima and Maple valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lima | Maple valley |
|---|---|---|
| Mental Health Not Good | 19.6% | 15.9% |
| Physical Health Not Good | 15.0% | 8.6% |
| Depression | 25.0% | 25.8% |
| Smoking | 27.2% | 9.4% |
| Binge Drinking | 17.3% | 19.6% |
| Obesity | 47.4% | 24.3% |
| Disability Percentage | 19.0% | 7.0% |
Health Statistics Comparison: Lima vs Maple valley
- More residents in Lima report poor mental health at 19.6% compared to 15.9% in Maple valley.
- Higher depression rates are seen in Maple valley at 25.8% versus 25.0% in Lima.
- Smoking is more prevalent in Lima at 27.2% compared to 9.4% in Maple valley.
- More residents engage in binge drinking in Maple valley at 19.6% compared to 17.3% in Lima.
- Obesity rates are higher in Lima at 47.4% compared to 24.3% in Maple valley.
- Disability percentages are higher in Lima at 19.0% compared to 7.0% in Maple valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lima | Maple valley |
|---|---|---|
| No Schooling | 0.7% (247) | 0.4% (103) |
| High School Diploma | 22.7% (7,927) | 10.2% (2,878) |
| Less than High School | 12.9% (4,523) | 3.1% (879) |
| Bachelor's Degree and Higher | 7.0% (2,437) | 28.5% (8,032) |
Education Levels Comparison: Lima vs Maple valley
- A higher percentage of residents in Lima have no formal schooling at 0.7% compared to 0.4% in Maple valley.
- A higher percentage of residents in Lima hold a high school diploma at 22.7% compared to 10.2% in Maple valley.
- More residents in Lima have less than a high school education at 12.9% compared to 3.1% in Maple valley.
- In Maple valley, a larger share of residents have a bachelor's degree or higher at 28.5% 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.