Demographics details for Columbia, VA vs Danville, KY
Population Overview
Compare main population characteristics in Columbia, VA vs Danville, KY.
| Data | Columbia | Danville |
|---|---|---|
| Population | 40 | 17,303 |
| Median Age | 68.2 years | 36.4 years |
| Median Income | $121,250 | $48,038 |
| Married Families | 55.0% | 31.0% |
| Poverty Level | Data is updating | 15% |
| Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Columbia vs Danville
- The population in Danville is higher at 17,303, compared to 40 in Columbia.
- Residents in Columbia have a higher median age of 68.2 years compared to 36.4 years in Danville.
- Columbia has a higher median income of $121,250 compared to $48,038 in Danville.
- A higher percentage of married families is found in Columbia at 55.0% compared to 31.0% in Danville.
- The poverty level is higher in Danville at 15%, compared to 0% in Columbia.
- Danville has a higher unemployment rate at 4.1% compared to 3.2% in Columbia.
Demographics
Demographics Columbia vs Danville provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Danville |
|---|---|---|
| Black | Data is updating | 12 |
| White | 100 | 79 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 4 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Danville
- In Danville, the percentage of Black residents is higher at 12% compared to 0% in Columbia.
- Columbia has a higher percentage of White residents at 100% compared to 79% in Danville.
- In Danville, the Asian population stands at 1%, greater than 0% in Columbia.
- Danville has a higher percentage of Hispanic residents at 4%, compared to 0% in Columbia.
- The percentage of residents identifying as two or more races is higher in Danville at 4%, compared to 0% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and Danville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Danville |
|---|---|---|
| Mental Health Not Good | 17.2% | 19.1% |
| Physical Health Not Good | 9.9% | 14.1% |
| Depression | 22.1% | 27.7% |
| Smoking | 16.5% | 21.6% |
| Binge Drinking | 17.4% | 14.7% |
| Obesity | 41.8% | 41.5% |
| Disability Percentage | 2.0% | 15.0% |
Health Statistics Comparison: Columbia vs Danville
- In Danville, a higher percentage report poor mental health at 19.1% compared to 17.2% in Columbia.
- Higher depression rates are seen in Danville at 27.7% versus 22.1% in Columbia.
- Danville has a higher smoking rate at 21.6% compared to 16.5% in Columbia.
- Binge drinking is more common in Columbia at 17.4% compared to 14.7% in Danville.
- Obesity rates are higher in Columbia at 41.8% compared to 41.5% in Danville.
- There is a higher percentage of disabled individuals in Danville at 15.0% compared to 2.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Danville |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (108) |
| High School Diploma | 0.0% (Data is updating) | 16.8% (2,899) |
| Less than High School | 0.0% (Data is updating) | 12.1% (2,102) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 16.1% (2,789) |
Education Levels Comparison: Columbia vs Danville
- In Danville, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Columbia.
- In Danville, the rate of residents with high school diplomas is higher at 16.8% compared to 0.0% in Columbia.
- The percentage of residents with less than a high school education is higher in Danville at 12.1%, compared to 0.0% in Columbia.
- In Danville, a larger share of residents have a bachelor's degree or higher at 16.1% compared to 0.0% in Columbia.
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.