Demographics details for Clayton, OH vs Severna park, MD
Population Overview
Compare main population characteristics in Clayton, OH vs Severna park, MD.
| Data | Clayton | Severna park |
|---|---|---|
| Population | 13,235 | 40,452 |
| Median Age | 46.0 years | 41.5 years |
| Median Income | $89,282 | $164,288 |
| Married Families | 47.0% | 48.0% |
| Poverty Level | 10% | 3% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Clayton vs Severna park
- The population in Severna park is higher at 40,452, compared to 13,235 in Clayton.
- Residents in Clayton have a higher median age of 46.0 years compared to 41.5 years in Severna park.
- Severna park has a higher median income of $164,288, compared to $89,282 in Clayton.
- In Severna park, the percentage of married families is higher at 48.0%, compared to 47.0% in Clayton.
- Clayton has a higher poverty level at 10% compared to 3% in Severna park.
- The unemployment rate in Clayton is higher at 3.5%, compared to 3.2% in Severna park.
Demographics
Demographics Clayton vs Severna park provide insight into the diversity of the communities to compare.
| Demographic | Clayton | Severna park |
|---|---|---|
| Black | 30 | 3 |
| White | 61 | 86 |
| Asian | 2 | 3 |
| Hispanic | 2 | 3 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Clayton vs Severna park
- A higher percentage of Black residents are in Clayton at 30% compared to 3% in Severna park.
- The percentage of White residents is higher in Severna park at 86% compared to 61% in Clayton.
- In Severna park, the Asian population stands at 3%, greater than 2% in Clayton.
- Severna park has a higher percentage of Hispanic residents at 3%, compared to 2% in Clayton.
- Both Clayton and Severna park have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Clayton and Severna park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clayton | Severna park |
|---|---|---|
| Mental Health Not Good | 16.8% | 13.1% |
| Physical Health Not Good | 10.3% | 7.3% |
| Depression | 24.4% | 19.9% |
| Smoking | 15.3% | 9.0% |
| Binge Drinking | 18.9% | 18.4% |
| Obesity | 37.4% | 31.9% |
| Disability Percentage | 13.0% | 8.0% |
Health Statistics Comparison: Clayton vs Severna park
- More residents in Clayton report poor mental health at 16.8% compared to 13.1% in Severna park.
- Depression is more prevalent in Clayton at 24.4% compared to 19.9% in Severna park.
- Smoking is more prevalent in Clayton at 15.3% compared to 9.0% in Severna park.
- Binge drinking is more common in Clayton at 18.9% compared to 18.4% in Severna park.
- Obesity rates are higher in Clayton at 37.4% compared to 31.9% in Severna park.
- Disability percentages are higher in Clayton at 13.0% compared to 8.0% in Severna park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clayton | Severna park |
|---|---|---|
| No Schooling | 0.2% (30) | 0.4% (145) |
| High School Diploma | 17.9% (2,371) | 10.9% (4,392) |
| Less than High School | 5.6% (746) | 4.3% (1,731) |
| Bachelor's Degree and Higher | 26.3% (3,484) | 38.1% (15,411) |
Education Levels Comparison: Clayton vs Severna park
- In Severna park, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Clayton.
- A higher percentage of residents in Clayton hold a high school diploma at 17.9% compared to 10.9% in Severna park.
- More residents in Clayton have less than a high school education at 5.6% compared to 4.3% in Severna park.
- In Severna park, a larger share of residents have a bachelor's degree or higher at 38.1% compared to 26.3% in Clayton.
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.