Demographics details for Camden, OH vs Sterling, IL
Population Overview
Compare main population characteristics in Camden, OH vs Sterling, IL.
Data | Camden | Sterling |
---|---|---|
Population | 1,973 | 14,566 |
Median Age | 45.1 years | 43.0 years |
Median Income | $49,667 | $49,007 |
Married Families | 44.0% | 32.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Camden vs Sterling
- The population in Sterling is higher at 14,566, compared to 1,973 in Camden.
- Residents in Camden have a higher median age of 45.1 years compared to 43.0 years in Sterling.
- Camden has a higher median income of $49,667 compared to $49,007 in Sterling.
- A higher percentage of married families is found in Camden at 44.0% compared to 32.0% in Sterling.
- The poverty level is identical in both Camden and Sterling at 12%.
- Sterling has a higher unemployment rate at 4.2% compared to 3.5% in Camden.
Demographics
Demographics Camden vs Sterling provide insight into the diversity of the communities to compare.
Demographic | Camden | Sterling |
---|---|---|
Black | 1 | 2 |
White | 98 | 56 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 27 |
Two or More Races | 1 | 12 |
American Indian | Data is updating | 1 |
Demographics Comparison: Camden vs Sterling
- In Sterling, the percentage of Black residents is higher at 2% compared to 1% in Camden.
- Camden has a higher percentage of White residents at 98% compared to 56% in Sterling.
- In Sterling, the Asian population stands at 2%, greater than 0% in Camden.
- Sterling has a higher percentage of Hispanic residents at 27%, compared to 0% in Camden.
- The percentage of residents identifying as two or more races is higher in Sterling at 12%, compared to 1% in Camden.
- In Sterling, the percentage of American Indian residents is higher at 1%, compared to 0% in Camden.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Camden | Sterling |
---|---|---|
Mental Health Not Good | 18.5% | 16.7% |
Physical Health Not Good | 12.7% | 12.2% |
Depression | 24.3% | 22.2% |
Smoking | 23.1% | 18.6% |
Binge Drinking | 18.1% | 17.4% |
Obesity | 40.9% | 39.5% |
Disability Percentage | 26.0% | 17.0% |
Health Statistics Comparison: Camden vs Sterling
- More residents in Camden report poor mental health at 18.5% compared to 16.7% in Sterling.
- Depression is more prevalent in Camden at 24.3% compared to 22.2% in Sterling.
- Smoking is more prevalent in Camden at 23.1% compared to 18.6% in Sterling.
- Binge drinking is more common in Camden at 18.1% compared to 17.4% in Sterling.
- Obesity rates are higher in Camden at 40.9% compared to 39.5% in Sterling.
- Disability percentages are higher in Camden at 26.0% compared to 17.0% in Sterling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Camden | Sterling |
---|---|---|
No Schooling | 0.2% (4) | 1.1% (164) |
High School Diploma | 31.6% (623) | 24.1% (3,511) |
Less than High School | 9.1% (179) | 13.8% (2,012) |
Bachelor's Degree and Higher | 4.9% (96) | 11.8% (1,713) |
Education Levels Comparison: Camden vs Sterling
- In Sterling, a larger percentage of residents lack formal schooling at 1.1% compared to 0.2% in Camden.
- A higher percentage of residents in Camden hold a high school diploma at 31.6% compared to 24.1% in Sterling.
- The percentage of residents with less than a high school education is higher in Sterling at 13.8%, compared to 9.1% in Camden.
- In Sterling, a larger share of residents have a bachelor's degree or higher at 11.8% 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.