Demographics details for Dayton, OH vs Garfield, WA
Population Overview
Compare main population characteristics in Dayton, OH vs Garfield, WA.
| Data | Dayton | Garfield |
|---|---|---|
| Population | 135,944 | 2,363 |
| Median Age | 34.0 years | 49.9 years |
| Median Income | $41,443 | $57,958 |
| Married Families | 21.0% | 57.0% |
| Poverty Level | 18% | Data is updating |
| Unemployment Rate | 6.8 | 4.4 |
Population Comparison: Dayton vs Garfield
- In Dayton, the population is higher at 135,944, compared to 2,363 in Garfield.
- The median age in Garfield is higher at 49.9 years, compared to 34.0 years in Dayton.
- Garfield has a higher median income of $57,958, compared to $41,443 in Dayton.
- In Garfield, the percentage of married families is higher at 57.0%, compared to 21.0% in Dayton.
- Dayton has a higher poverty level at 18% compared to 0% in Garfield.
- The unemployment rate in Dayton is higher at 6.8%, compared to 4.4% in Garfield.
Demographics
Demographics Dayton vs Garfield provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Garfield |
|---|---|---|
| Black | 38 | 1 |
| White | 50 | 88 |
| Asian | 1 | 1 |
| Hispanic | 5 | 4 |
| Two or More Races | 6 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dayton vs Garfield
- A higher percentage of Black residents are in Dayton at 38% compared to 1% in Garfield.
- The percentage of White residents is higher in Garfield at 88% compared to 50% in Dayton.
- Both Dayton and Garfield have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Dayton at 5% compared to 4% in Garfield.
- Both Dayton and Garfield have the same percentage of residents identifying as two or more races at 6%.
- The percentage of American Indian residents is the same in both Dayton and Garfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Garfield |
|---|---|---|
| Mental Health Not Good | 21.9% | 17.2% |
| Physical Health Not Good | 16.5% | 11.0% |
| Depression | 26.5% | 28.7% |
| Smoking | 26.0% | 14.6% |
| Binge Drinking | 15.2% | 18.2% |
| Obesity | 47.6% | 40.3% |
| Disability Percentage | 18.0% | 23.0% |
Health Statistics Comparison: Dayton vs Garfield
- More residents in Dayton report poor mental health at 21.9% compared to 17.2% in Garfield.
- Higher depression rates are seen in Garfield at 28.7% versus 26.5% in Dayton.
- Smoking is more prevalent in Dayton at 26.0% compared to 14.6% in Garfield.
- More residents engage in binge drinking in Garfield at 18.2% compared to 15.2% in Dayton.
- Obesity rates are higher in Dayton at 47.6% compared to 40.3% in Garfield.
- There is a higher percentage of disabled individuals in Garfield at 23.0% compared to 18.0% in Dayton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dayton | Garfield |
|---|---|---|
| No Schooling | 0.9% (1,157) | 0.0% (Data is updating) |
| High School Diploma | 16.3% (22,101) | 15.7% (371) |
| Less than High School | 13.9% (18,900) | 10.2% (242) |
| Bachelor's Degree and Higher | 12.7% (17,260) | 19.4% (458) |
Education Levels Comparison: Dayton vs Garfield
- A higher percentage of residents in Dayton have no formal schooling at 0.9% compared to 0.0% in Garfield.
- A higher percentage of residents in Dayton hold a high school diploma at 16.3% compared to 15.7% in Garfield.
- More residents in Dayton have less than a high school education at 13.9% compared to 10.2% in Garfield.
- In Garfield, a larger share of residents have a bachelor's degree or higher at 19.4% compared to 12.7% in Dayton.
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.