Demographics details for Crum lynne, PA vs Camden, WV
Population Overview
Compare main population characteristics in Crum lynne, PA vs Camden, WV.
Data | Crum lynne | Camden |
---|---|---|
Population | 735 | 184 |
Median Age | 38.0 years | 38.0 years |
Median Income | $60,000 | $46,000 |
Married Families | 50.0% | 60.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 4.0 | 4.5 |
Population Comparison: Crum lynne vs Camden
- In Crum lynne, the population is higher at 735, compared to 184 in Camden.
- The median age is the same in both Crum lynne and Camden at 38.0 years.
- Crum lynne has a higher median income of $60,000 compared to $46,000 in Camden.
- In Camden, the percentage of married families is higher at 60.0%, compared to 50.0% in Crum lynne.
- The poverty level is identical in both Crum lynne and Camden at 12%.
- Camden has a higher unemployment rate at 4.5% compared to 4.0% in Crum lynne.
Demographics
Demographics Crum lynne vs Camden provide insight into the diversity of the communities to compare.
Demographic | Crum lynne | Camden |
---|---|---|
Black | 5 | Data is updating |
White | 90 | 100 |
Asian | 2 | Data is updating |
Hispanic | 1 | Data is updating |
Two or More Races | 2 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Crum lynne vs Camden
- A higher percentage of Black residents are in Crum lynne at 5% compared to 0% in Camden.
- The percentage of White residents is higher in Camden at 100% compared to 90% in Crum lynne.
- The Asian population is larger in Crum lynne at 2% compared to 0% in Camden.
- The Hispanic community is larger in Crum lynne at 1% compared to 0% in Camden.
- More residents identify as two or more races in Crum lynne at 2% compared to 0% in Camden.
- The percentage of American Indian residents is the same in both Crum lynne and Camden at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Crum lynne | Camden |
---|---|---|
Mental Health Not Good | Data is updating% | Data is updating% |
Physical Health Not Good | Data is updating% | Data is updating% |
Depression | Data is updating% | Data is updating% |
Smoking | Data is updating% | Data is updating% |
Binge Drinking | Data is updating% | Data is updating% |
Obesity | Data is updating% | Data is updating% |
Disability Percentage | Data is updating% | Data is updating% |
Health Statistics Comparison: Crum lynne vs Camden
- Poor mental health levels are equal in both Crum lynne and Camden at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Crum lynne and Camden at 0.0%.
- Binge drinking rates are similar in both Crum lynne and Camden at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are the same in both Crum lynne and Camden at 0.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Crum lynne | Camden |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 0.0% (Data is updating) | 0.0% (Data is updating) |
Less than High School | 0.0% (Data is updating) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 0.0% (Data is updating) |
Education Levels Comparison: Crum lynne vs Camden
- The percentage of residents with no formal schooling is the same in both Crum lynne and Camden at 0.0%.
- Both cities have the same percentage of residents with high school diplomas at 0.0%.
- Both cities report the same percentage of residents with less than a high school education at 0.0%.
- The percentage of residents with a bachelor's degree or higher is identical in both Crum lynne and Camden at 0.0%.
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.