Demographics details for Danville, KY vs Crum lynne, PA
Population Overview
Compare main population characteristics in Danville, KY vs Crum lynne, PA.
Data | Danville | Crum lynne |
---|---|---|
Population | 17,303 | 735 |
Median Age | 36.4 years | 38.0 years |
Median Income | $48,038 | $60,000 |
Married Families | 31.0% | 50.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 4.1 | 4.0 |
Population Comparison: Danville vs Crum lynne
- In Danville, the population is higher at 17,303, compared to 735 in Crum lynne.
- The median age in Crum lynne is higher at 38.0 years, compared to 36.4 years in Danville.
- Crum lynne has a higher median income of $60,000, compared to $48,038 in Danville.
- In Crum lynne, the percentage of married families is higher at 50.0%, compared to 31.0% in Danville.
- Danville has a higher poverty level at 15% compared to 12% in Crum lynne.
- The unemployment rate in Danville is higher at 4.1%, compared to 4.0% in Crum lynne.
Demographics
Demographics Danville vs Crum lynne provide insight into the diversity of the communities to compare.
Demographic | Danville | Crum lynne |
---|---|---|
Black | 12 | 5 |
White | 79 | 90 |
Asian | 1 | 2 |
Hispanic | 4 | 1 |
Two or More Races | 4 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Danville vs Crum lynne
- A higher percentage of Black residents are in Danville at 12% compared to 5% in Crum lynne.
- The percentage of White residents is higher in Crum lynne at 90% compared to 79% in Danville.
- In Crum lynne, the Asian population stands at 2%, greater than 1% in Danville.
- The Hispanic community is larger in Danville at 4% compared to 1% in Crum lynne.
- More residents identify as two or more races in Danville at 4% compared to 2% in Crum lynne.
- The percentage of American Indian residents is the same in both Danville and Crum lynne at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Danville | Crum lynne |
---|---|---|
Mental Health Not Good | 19.1% | Data is updating% |
Physical Health Not Good | 14.1% | Data is updating% |
Depression | 27.7% | Data is updating% |
Smoking | 21.6% | Data is updating% |
Binge Drinking | 14.7% | Data is updating% |
Obesity | 41.5% | Data is updating% |
Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Danville vs Crum lynne
- More residents in Danville report poor mental health at 19.1% compared to 0.0% in Crum lynne.
- Depression is more prevalent in Danville at 27.7% compared to 0.0% in Crum lynne.
- Smoking is more prevalent in Danville at 21.6% compared to 0.0% in Crum lynne.
- Binge drinking is more common in Danville at 14.7% compared to 0.0% in Crum lynne.
- Obesity rates are higher in Danville at 41.5% compared to 0.0% in Crum lynne.
- Disability percentages are higher in Danville at 15.0% compared to 0.0% in Crum lynne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Danville | Crum lynne |
---|---|---|
No Schooling | 0.6% (108) | 0.0% (Data is updating) |
High School Diploma | 16.8% (2,899) | 0.0% (Data is updating) |
Less than High School | 12.1% (2,102) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 16.1% (2,789) | 0.0% (Data is updating) |
Education Levels Comparison: Danville vs Crum lynne
- A higher percentage of residents in Danville have no formal schooling at 0.6% compared to 0.0% in Crum lynne.
- A higher percentage of residents in Danville hold a high school diploma at 16.8% compared to 0.0% in Crum lynne.
- More residents in Danville have less than a high school education at 12.1% compared to 0.0% in Crum lynne.
- A higher percentage of residents in Danville hold a bachelor's degree or higher at 16.1% compared to 0.0% in Crum lynne.
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.