Demographics details for Wilmington, OH vs Camden, WV
Population Overview
Compare main population characteristics in Wilmington, OH vs Camden, WV.
Data | Wilmington | Camden |
---|---|---|
Population | 12,656 | 184 |
Median Age | 36.5 years | 38.0 years |
Median Income | $48,407 | $46,000 |
Married Families | 31.0% | 60.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 5.2 | 4.5 |
Population Comparison: Wilmington vs Camden
- In Wilmington, the population is higher at 12,656, compared to 184 in Camden.
- The median age in Camden is higher at 38.0 years, compared to 36.5 years in Wilmington.
- Wilmington has a higher median income of $48,407 compared to $46,000 in Camden.
- In Camden, the percentage of married families is higher at 60.0%, compared to 31.0% in Wilmington.
- The poverty level is identical in both Wilmington and Camden at 12%.
- The unemployment rate in Wilmington is higher at 5.2%, compared to 4.5% in Camden.
Demographics
Demographics Wilmington vs Camden provide insight into the diversity of the communities to compare.
Demographic | Wilmington | Camden |
---|---|---|
Black | 5 | Data is updating |
White | 85 | 100 |
Asian | 2 | Data is updating |
Hispanic | 3 | Data is updating |
Two or More Races | 5 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wilmington vs Camden
- A higher percentage of Black residents are in Wilmington at 5% compared to 0% in Camden.
- The percentage of White residents is higher in Camden at 100% compared to 85% in Wilmington.
- The Asian population is larger in Wilmington at 2% compared to 0% in Camden.
- The Hispanic community is larger in Wilmington at 3% compared to 0% in Camden.
- More residents identify as two or more races in Wilmington at 5% compared to 0% in Camden.
- The percentage of American Indian residents is the same in both Wilmington and Camden at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wilmington | Camden |
---|---|---|
Mental Health Not Good | 19.1% | Data is updating% |
Physical Health Not Good | 13.1% | Data is updating% |
Depression | 25.1% | Data is updating% |
Smoking | 22.9% | Data is updating% |
Binge Drinking | 16.7% | Data is updating% |
Obesity | 43.0% | Data is updating% |
Disability Percentage | 19.0% | Data is updating% |
Health Statistics Comparison: Wilmington vs Camden
- More residents in Wilmington report poor mental health at 19.1% compared to 0.0% in Camden.
- Depression is more prevalent in Wilmington at 25.1% compared to 0.0% in Camden.
- Smoking is more prevalent in Wilmington at 22.9% compared to 0.0% in Camden.
- Binge drinking is more common in Wilmington at 16.7% compared to 0.0% in Camden.
- Obesity rates are higher in Wilmington at 43.0% compared to 0.0% in Camden.
- Disability percentages are higher in Wilmington at 19.0% 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 | Wilmington | Camden |
---|---|---|
No Schooling | 1.4% (171) | 0.0% (Data is updating) |
High School Diploma | 21.3% (2,702) | 0.0% (Data is updating) |
Less than High School | 11.0% (1,394) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 13.9% (1,753) | 0.0% (Data is updating) |
Education Levels Comparison: Wilmington vs Camden
- A higher percentage of residents in Wilmington have no formal schooling at 1.4% compared to 0.0% in Camden.
- A higher percentage of residents in Wilmington hold a high school diploma at 21.3% compared to 0.0% in Camden.
- More residents in Wilmington have less than a high school education at 11.0% compared to 0.0% in Camden.
- A higher percentage of residents in Wilmington hold a bachelor's degree or higher at 13.9% 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.