Demographics details for Camden, WV vs Lawrence, NY
Population Overview
Compare main population characteristics in Camden, WV vs Lawrence, NY.
| Data | Camden | Lawrence |
|---|---|---|
| Population | 184 | 6,745 |
| Median Age | 38.0 years | 32.5 years |
| Median Income | $46,000 | $169,029 |
| Married Families | 60.0% | 45.0% |
| Poverty Level | 12% | 2% |
| Unemployment Rate | 4.5 | 5.0 |
Population Comparison: Camden vs Lawrence
- The population in Lawrence is higher at 6,745, compared to 184 in Camden.
- Residents in Camden have a higher median age of 38.0 years compared to 32.5 years in Lawrence.
- Lawrence has a higher median income of $169,029, compared to $46,000 in Camden.
- A higher percentage of married families is found in Camden at 60.0% compared to 45.0% in Lawrence.
- Camden has a higher poverty level at 12% compared to 2% in Lawrence.
- Lawrence has a higher unemployment rate at 5.0% compared to 4.5% in Camden.
Demographics
Demographics Camden vs Lawrence provide insight into the diversity of the communities to compare.
| Demographic | Camden | Lawrence |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 95 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 2 |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Camden vs Lawrence
- The percentage of Black residents is the same in both Camden and Lawrence at 0%.
- Camden has a higher percentage of White residents at 100% compared to 95% in Lawrence.
- In Lawrence, the Asian population stands at 1%, greater than 0% in Camden.
- Lawrence has a higher percentage of Hispanic residents at 2%, compared to 0% in Camden.
- The percentage of residents identifying as two or more races is higher in Lawrence at 2%, compared to 0% in Camden.
- The percentage of American Indian residents is the same in both Camden and Lawrence at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Camden | Lawrence |
|---|---|---|
| Mental Health Not Good | Data is updating% | 12.6% |
| Physical Health Not Good | Data is updating% | 7.1% |
| Depression | Data is updating% | 17.3% |
| Smoking | Data is updating% | 9.0% |
| Binge Drinking | Data is updating% | 19.1% |
| Obesity | Data is updating% | 25.3% |
| Disability Percentage | Data is updating% | 6.0% |
Health Statistics Comparison: Camden vs Lawrence
- In Lawrence, a higher percentage report poor mental health at 12.6% compared to 0.0% in Camden.
- Higher depression rates are seen in Lawrence at 17.3% versus 0.0% in Camden.
- Lawrence has a higher smoking rate at 9.0% compared to 0.0% in Camden.
- More residents engage in binge drinking in Lawrence at 19.1% compared to 0.0% in Camden.
- Lawrence has higher obesity rates at 25.3% compared to 0.0% in Camden.
- There is a higher percentage of disabled individuals in Lawrence at 6.0% 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 | Camden | Lawrence |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 4.2% (283) |
| Less than High School | 0.0% (Data is updating) | 3.7% (252) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 41.9% (2,824) |
Education Levels Comparison: Camden vs Lawrence
- The percentage of residents with no formal schooling is the same in both Camden and Lawrence at 0.0%.
- In Lawrence, the rate of residents with high school diplomas is higher at 4.2% compared to 0.0% in Camden.
- The percentage of residents with less than a high school education is higher in Lawrence at 3.7%, compared to 0.0% in Camden.
- In Lawrence, a larger share of residents have a bachelor's degree or higher at 41.9% 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.