Demographics details for Jefferson, OR vs Camden, WV
Population Overview
Compare main population characteristics in Jefferson, OR vs Camden, WV.
| Data | Jefferson | Camden |
|---|---|---|
| Population | 3,304 | 184 |
| Median Age | 31.7 years | 38.0 years |
| Median Income | $87,604 | $46,000 |
| Married Families | 39.0% | 60.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Jefferson vs Camden
- In Jefferson, the population is higher at 3,304, compared to 184 in Camden.
- The median age in Camden is higher at 38.0 years, compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604 compared to $46,000 in Camden.
- In Camden, the percentage of married families is higher at 60.0%, compared to 39.0% in Jefferson.
- The poverty level is higher in Camden at 12%, compared to 10% in Jefferson.
- Camden has a higher unemployment rate at 4.5% compared to 3.5% in Jefferson.
Demographics
Demographics Jefferson vs Camden provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Camden |
|---|---|---|
| Black | 2 | Data is updating |
| White | 67 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 20 | Data is updating |
| Two or More Races | 10 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Jefferson vs Camden
- A higher percentage of Black residents are in Jefferson at 2% compared to 0% in Camden.
- The percentage of White residents is higher in Camden at 100% compared to 67% in Jefferson.
- Both Jefferson and Camden have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Jefferson at 20% compared to 0% in Camden.
- More residents identify as two or more races in Jefferson at 10% compared to 0% in Camden.
- A greater percentage of American Indian residents live in Jefferson at 1% compared to 0% in Camden.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Camden |
|---|---|---|
| Mental Health Not Good | 18.4% | Data is updating% |
| Physical Health Not Good | 12.0% | Data is updating% |
| Depression | 28.9% | Data is updating% |
| Smoking | 16.5% | Data is updating% |
| Binge Drinking | 16.4% | Data is updating% |
| Obesity | 36.5% | Data is updating% |
| Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Jefferson vs Camden
- More residents in Jefferson report poor mental health at 18.4% compared to 0.0% in Camden.
- Depression is more prevalent in Jefferson at 28.9% compared to 0.0% in Camden.
- Smoking is more prevalent in Jefferson at 16.5% compared to 0.0% in Camden.
- Binge drinking is more common in Jefferson at 16.4% compared to 0.0% in Camden.
- Obesity rates are higher in Jefferson at 36.5% compared to 0.0% in Camden.
- Disability percentages are higher in Jefferson at 13.0% 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 | Jefferson | Camden |
|---|---|---|
| No Schooling | 2.4% (78) | 0.0% (Data is updating) |
| High School Diploma | 13.0% (430) | 0.0% (Data is updating) |
| Less than High School | 13.9% (458) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 11.0% (363) | 0.0% (Data is updating) |
Education Levels Comparison: Jefferson vs Camden
- A higher percentage of residents in Jefferson have no formal schooling at 2.4% compared to 0.0% in Camden.
- A higher percentage of residents in Jefferson hold a high school diploma at 13.0% compared to 0.0% in Camden.
- More residents in Jefferson have less than a high school education at 13.9% compared to 0.0% in Camden.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 11.0% 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.