Demographics details for Lake stevens, WA vs Camden, OH
Population Overview
Compare main population characteristics in Lake stevens, WA vs Camden, OH.
Data | Lake stevens | Camden |
---|---|---|
Population | 39,848 | 1,973 |
Median Age | 34.4 years | 45.1 years |
Median Income | $111,821 | $49,667 |
Married Families | 43.0% | 44.0% |
Poverty Level | 7% | 12% |
Unemployment Rate | 5.3 | 3.5 |
Population Comparison: Lake stevens vs Camden
- In Lake stevens, the population is higher at 39,848, compared to 1,973 in Camden.
- The median age in Camden is higher at 45.1 years, compared to 34.4 years in Lake stevens.
- Lake stevens has a higher median income of $111,821 compared to $49,667 in Camden.
- In Camden, the percentage of married families is higher at 44.0%, compared to 43.0% in Lake stevens.
- The poverty level is higher in Camden at 12%, compared to 7% in Lake stevens.
- The unemployment rate in Lake stevens is higher at 5.3%, compared to 3.5% in Camden.
Demographics
Demographics Lake stevens vs Camden provide insight into the diversity of the communities to compare.
Demographic | Lake stevens | Camden |
---|---|---|
Black | 3 | 1 |
White | 69 | 98 |
Asian | 7 | Data is updating |
Hispanic | 10 | Data is updating |
Two or More Races | 10 | 1 |
American Indian | 1 | Data is updating |
Demographics Comparison: Lake stevens vs Camden
- A higher percentage of Black residents are in Lake stevens at 3% compared to 1% in Camden.
- The percentage of White residents is higher in Camden at 98% compared to 69% in Lake stevens.
- The Asian population is larger in Lake stevens at 7% compared to 0% in Camden.
- The Hispanic community is larger in Lake stevens at 10% compared to 0% in Camden.
- More residents identify as two or more races in Lake stevens at 10% compared to 1% in Camden.
- A greater percentage of American Indian residents live in Lake stevens at 1% compared to 0% in Camden.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lake stevens | Camden |
---|---|---|
Mental Health Not Good | 16.7% | 18.5% |
Physical Health Not Good | 10.4% | 12.7% |
Depression | 29.7% | 24.3% |
Smoking | 11.7% | 23.1% |
Binge Drinking | 16.8% | 18.1% |
Obesity | 33.0% | 40.9% |
Disability Percentage | 9.0% | 26.0% |
Health Statistics Comparison: Lake stevens vs Camden
- In Camden, a higher percentage report poor mental health at 18.5% compared to 16.7% in Lake stevens.
- Depression is more prevalent in Lake stevens at 29.7% compared to 24.3% in Camden.
- Camden has a higher smoking rate at 23.1% compared to 11.7% in Lake stevens.
- More residents engage in binge drinking in Camden at 18.1% compared to 16.8% in Lake stevens.
- Camden has higher obesity rates at 40.9% compared to 33.0% in Lake stevens.
- There is a higher percentage of disabled individuals in Camden at 26.0% compared to 9.0% in Lake stevens.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lake stevens | Camden |
---|---|---|
No Schooling | 0.4% (144) | 0.2% (4) |
High School Diploma | 13.7% (5,469) | 31.6% (623) |
Less than High School | 6.6% (2,647) | 9.1% (179) |
Bachelor's Degree and Higher | 20.5% (8,151) | 4.9% (96) |
Education Levels Comparison: Lake stevens vs Camden
- A higher percentage of residents in Lake stevens have no formal schooling at 0.4% compared to 0.2% in Camden.
- In Camden, the rate of residents with high school diplomas is higher at 31.6% compared to 13.7% in Lake stevens.
- The percentage of residents with less than a high school education is higher in Camden at 9.1%, compared to 6.6% in Lake stevens.
- A higher percentage of residents in Lake stevens hold a bachelor's degree or higher at 20.5% compared to 4.9% 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.