Demographics details for Camden, TN vs Petersburg, PA
Population Overview
Compare main population characteristics in Camden, TN vs Petersburg, PA.
| Data | Camden | Petersburg |
|---|---|---|
| Population | 3,659 | 412 |
| Median Age | 43.3 years | 39.8 years |
| Median Income | $42,500 | $58,125 |
| Married Families | 33.0% | 30.0% |
| Poverty Level | 14% | 8% |
| Unemployment Rate | 4.5 | 5.2 |
Population Comparison: Camden vs Petersburg
- In Camden, the population is higher at 3,659, compared to 412 in Petersburg.
- Residents in Camden have a higher median age of 43.3 years compared to 39.8 years in Petersburg.
- Petersburg has a higher median income of $58,125, compared to $42,500 in Camden.
- A higher percentage of married families is found in Camden at 33.0% compared to 30.0% in Petersburg.
- Camden has a higher poverty level at 14% compared to 8% in Petersburg.
- Petersburg has a higher unemployment rate at 5.2% compared to 4.5% in Camden.
Demographics
Demographics Camden vs Petersburg provide insight into the diversity of the communities to compare.
| Demographic | Camden | Petersburg |
|---|---|---|
| Black | 4 | Data is updating |
| White | 94 | 98 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Camden vs Petersburg
- A higher percentage of Black residents are in Camden at 4% compared to 0% in Petersburg.
- The percentage of White residents is higher in Petersburg at 98% compared to 94% in Camden.
- Both Camden and Petersburg have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Camden and Petersburg at 0%.
- Both Camden and Petersburg have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Camden and Petersburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Camden | Petersburg |
|---|---|---|
| Mental Health Not Good | 21.3% | 18.6% |
| Physical Health Not Good | 15.1% | 12.7% |
| Depression | 31.6% | 24.5% |
| Smoking | 25.6% | 22.3% |
| Binge Drinking | 14.6% | 18.6% |
| Obesity | 35.8% | 38.1% |
| Disability Percentage | 26.0% | 18.0% |
Health Statistics Comparison: Camden vs Petersburg
- More residents in Camden report poor mental health at 21.3% compared to 18.6% in Petersburg.
- Depression is more prevalent in Camden at 31.6% compared to 24.5% in Petersburg.
- Smoking is more prevalent in Camden at 25.6% compared to 22.3% in Petersburg.
- More residents engage in binge drinking in Petersburg at 18.6% compared to 14.6% in Camden.
- Petersburg has higher obesity rates at 38.1% compared to 35.8% in Camden.
- Disability percentages are higher in Camden at 26.0% compared to 18.0% in Petersburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Camden | Petersburg |
|---|---|---|
| No Schooling | 1.0% (37) | 0.5% (2) |
| High School Diploma | 23.7% (868) | 35.2% (145) |
| Less than High School | 19.6% (716) | 15.0% (62) |
| Bachelor's Degree and Higher | 10.6% (389) | 1.5% (6) |
Education Levels Comparison: Camden vs Petersburg
- A higher percentage of residents in Camden have no formal schooling at 1.0% compared to 0.5% in Petersburg.
- In Petersburg, the rate of residents with high school diplomas is higher at 35.2% compared to 23.7% in Camden.
- More residents in Camden have less than a high school education at 19.6% compared to 15.0% in Petersburg.
- A higher percentage of residents in Camden hold a bachelor's degree or higher at 10.6% compared to 1.5% in Petersburg.
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.