Demographics details for Clayton, NC vs Camden, WV
Population Overview
Compare main population characteristics in Clayton, NC vs Camden, WV.
| Data | Clayton | Camden |
|---|---|---|
| Population | 29,445 | 184 |
| Median Age | 32.6 years | 38.0 years |
| Median Income | $71,698 | $46,000 |
| Married Families | 35.0% | 60.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.7 | 4.5 |
Population Comparison: Clayton vs Camden
- In Clayton, the population is higher at 29,445, compared to 184 in Camden.
- The median age in Camden is higher at 38.0 years, compared to 32.6 years in Clayton.
- Clayton has a higher median income of $71,698 compared to $46,000 in Camden.
- In Camden, the percentage of married families is higher at 60.0%, compared to 35.0% in Clayton.
- The poverty level is higher in Camden at 12%, compared to 5% in Clayton.
- Camden has a higher unemployment rate at 4.5% compared to 3.7% in Clayton.
Demographics
Demographics Clayton vs Camden provide insight into the diversity of the communities to compare.
| Demographic | Clayton | Camden |
|---|---|---|
| Black | 22 | Data is updating |
| White | 59 | 100 |
| Asian | 1 | Data is updating |
| Hispanic | 13 | Data is updating |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Clayton vs Camden
- A higher percentage of Black residents are in Clayton at 22% compared to 0% in Camden.
- The percentage of White residents is higher in Camden at 100% compared to 59% in Clayton.
- The Asian population is larger in Clayton at 1% compared to 0% in Camden.
- The Hispanic community is larger in Clayton at 13% compared to 0% in Camden.
- More residents identify as two or more races in Clayton at 5% compared to 0% in Camden.
- The percentage of American Indian residents is the same in both Clayton and Camden at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clayton | Camden |
|---|---|---|
| Mental Health Not Good | 15.6% | Data is updating% |
| Physical Health Not Good | 10.4% | Data is updating% |
| Depression | 23.1% | Data is updating% |
| Smoking | 15.2% | Data is updating% |
| Binge Drinking | 17.6% | Data is updating% |
| Obesity | 39.9% | Data is updating% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Clayton vs Camden
- More residents in Clayton report poor mental health at 15.6% compared to 0.0% in Camden.
- Depression is more prevalent in Clayton at 23.1% compared to 0.0% in Camden.
- Smoking is more prevalent in Clayton at 15.2% compared to 0.0% in Camden.
- Binge drinking is more common in Clayton at 17.6% compared to 0.0% in Camden.
- Obesity rates are higher in Clayton at 39.9% compared to 0.0% in Camden.
- Disability percentages are higher in Clayton at 10.0% compared to 0.0% in Camden.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clayton | Camden |
|---|---|---|
| No Schooling | 0.7% (210) | 0.0% (Data is updating) |
| High School Diploma | 12.6% (3,700) | 0.0% (Data is updating) |
| Less than High School | 5.4% (1,598) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 18.6% (5,471) | 0.0% (Data is updating) |
Education Levels Comparison: Clayton vs Camden
- A higher percentage of residents in Clayton have no formal schooling at 0.7% compared to 0.0% in Camden.
- A higher percentage of residents in Clayton hold a high school diploma at 12.6% compared to 0.0% in Camden.
- More residents in Clayton have less than a high school education at 5.4% compared to 0.0% in Camden.
- A higher percentage of residents in Clayton hold a bachelor's degree or higher at 18.6% compared to 0.0% in Camden.
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.