Demographics details for Camden, TN vs Broken bow, NE
Population Overview
Compare main population characteristics in Camden, TN vs Broken bow, NE.
| Data | Camden | Broken bow |
|---|---|---|
| Population | 3,659 | 3,474 |
| Median Age | 43.3 years | 41.4 years |
| Median Income | $42,500 | $49,425 |
| Married Families | 33.0% | 40.0% |
| Poverty Level | 14% | 11% |
| Unemployment Rate | 4.5 | 2.5 |
Population Comparison: Camden vs Broken bow
- In Camden, the population is higher at 3,659, compared to 3,474 in Broken bow.
- Residents in Camden have a higher median age of 43.3 years compared to 41.4 years in Broken bow.
- Broken bow has a higher median income of $49,425, compared to $42,500 in Camden.
- In Broken bow, the percentage of married families is higher at 40.0%, compared to 33.0% in Camden.
- Camden has a higher poverty level at 14% compared to 11% in Broken bow.
- The unemployment rate in Camden is higher at 4.5%, compared to 2.5% in Broken bow.
Demographics
Demographics Camden vs Broken bow provide insight into the diversity of the communities to compare.
| Demographic | Camden | Broken bow |
|---|---|---|
| Black | 4 | 2 |
| White | 94 | 88 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 6 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Camden vs Broken bow
- A higher percentage of Black residents are in Camden at 4% compared to 2% in Broken bow.
- Camden has a higher percentage of White residents at 94% compared to 88% in Broken bow.
- Both Camden and Broken bow have the same percentage of Asian residents at 0%.
- Broken bow has a higher percentage of Hispanic residents at 6%, compared to 0% in Camden.
- The percentage of residents identifying as two or more races is higher in Broken bow at 4%, compared to 2% in Camden.
- The percentage of American Indian residents is the same in both Camden and Broken bow at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Camden | Broken bow |
|---|---|---|
| Mental Health Not Good | 21.3% | 14.2% |
| Physical Health Not Good | 15.1% | 10.0% |
| Depression | 31.6% | 17.1% |
| Smoking | 25.6% | 16.3% |
| Binge Drinking | 14.6% | 20.7% |
| Obesity | 35.8% | 38.2% |
| Disability Percentage | 26.0% | 19.0% |
Health Statistics Comparison: Camden vs Broken bow
- More residents in Camden report poor mental health at 21.3% compared to 14.2% in Broken bow.
- Depression is more prevalent in Camden at 31.6% compared to 17.1% in Broken bow.
- Smoking is more prevalent in Camden at 25.6% compared to 16.3% in Broken bow.
- More residents engage in binge drinking in Broken bow at 20.7% compared to 14.6% in Camden.
- Broken bow has higher obesity rates at 38.2% compared to 35.8% in Camden.
- Disability percentages are higher in Camden at 26.0% compared to 19.0% in Broken bow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Camden | Broken bow |
|---|---|---|
| No Schooling | 1.0% (37) | 1.2% (42) |
| High School Diploma | 23.7% (868) | 19.8% (689) |
| Less than High School | 19.6% (716) | 7.3% (253) |
| Bachelor's Degree and Higher | 10.6% (389) | 14.7% (512) |
Education Levels Comparison: Camden vs Broken bow
- In Broken bow, a larger percentage of residents lack formal schooling at 1.2% compared to 1.0% in Camden.
- A higher percentage of residents in Camden hold a high school diploma at 23.7% compared to 19.8% in Broken bow.
- More residents in Camden have less than a high school education at 19.6% compared to 7.3% in Broken bow.
- In Broken bow, a larger share of residents have a bachelor's degree or higher at 14.7% compared to 10.6% 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.