Demographics details for Clarksburg, MD vs Dayton, OH
Population Overview
Compare main population characteristics in Clarksburg, MD vs Dayton, OH.
| Data | Clarksburg | Dayton |
|---|---|---|
| Population | 28,337 | 135,944 |
| Median Age | 37.7 years | 34.0 years |
| Median Income | $165,551 | $41,443 |
| Married Families | 47.0% | 21.0% |
| Poverty Level | 5% | 18% |
| Unemployment Rate | 4.2 | 6.8 |
Population Comparison: Clarksburg vs Dayton
- The population in Dayton is higher at 135,944, compared to 28,337 in Clarksburg.
- Residents in Clarksburg have a higher median age of 37.7 years compared to 34.0 years in Dayton.
- Clarksburg has a higher median income of $165,551 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Clarksburg at 47.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 5% in Clarksburg.
- Dayton has a higher unemployment rate at 6.8% compared to 4.2% in Clarksburg.
Demographics
Demographics Clarksburg vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Clarksburg | Dayton |
|---|---|---|
| Black | 17 | 38 |
| White | 24 | 50 |
| Asian | 40 | 1 |
| Hispanic | 11 | 5 |
| Two or More Races | 8 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Clarksburg vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 17% in Clarksburg.
- The percentage of White residents is higher in Dayton at 50% compared to 24% in Clarksburg.
- The Asian population is larger in Clarksburg at 40% compared to 1% in Dayton.
- The Hispanic community is larger in Clarksburg at 11% compared to 5% in Dayton.
- More residents identify as two or more races in Clarksburg at 8% compared to 6% in Dayton.
- The percentage of American Indian residents is the same in both Clarksburg and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clarksburg | Dayton |
|---|---|---|
| Mental Health Not Good | 11.3% | 21.9% |
| Physical Health Not Good | 6.0% | 16.5% |
| Depression | 15.6% | 26.5% |
| Smoking | 7.0% | 26.0% |
| Binge Drinking | 12.0% | 15.2% |
| Obesity | 20.5% | 47.6% |
| Disability Percentage | 5.0% | 18.0% |
Health Statistics Comparison: Clarksburg vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 11.3% in Clarksburg.
- Higher depression rates are seen in Dayton at 26.5% versus 15.6% in Clarksburg.
- Dayton has a higher smoking rate at 26.0% compared to 7.0% in Clarksburg.
- More residents engage in binge drinking in Dayton at 15.2% compared to 12.0% in Clarksburg.
- Dayton has higher obesity rates at 47.6% compared to 20.5% in Clarksburg.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 5.0% in Clarksburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clarksburg | Dayton |
|---|---|---|
| No Schooling | 1.2% (346) | 0.9% (1,157) |
| High School Diploma | 6.4% (1,805) | 16.3% (22,101) |
| Less than High School | 4.5% (1,276) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 43.9% (12,438) | 12.7% (17,260) |
Education Levels Comparison: Clarksburg vs Dayton
- A higher percentage of residents in Clarksburg have no formal schooling at 1.2% compared to 0.9% in Dayton.
- In Dayton, the rate of residents with high school diplomas is higher at 16.3% compared to 6.4% in Clarksburg.
- The percentage of residents with less than a high school education is higher in Dayton at 13.9%, compared to 4.5% in Clarksburg.
- A higher percentage of residents in Clarksburg hold a bachelor's degree or higher at 43.9% 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.