Demographics details for Danville, KY vs Columbus, TX
Population Overview
Compare main population characteristics in Danville, KY vs Columbus, TX.
Data | Danville | Columbus |
---|---|---|
Population | 17,303 | 3,714 |
Median Age | 36.4 years | 47.0 years |
Median Income | $48,038 | $56,250 |
Married Families | 31.0% | 41.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 4.1 | 5.0 |
Population Comparison: Danville vs Columbus
- In Danville, the population is higher at 17,303, compared to 3,714 in Columbus.
- The median age in Columbus is higher at 47.0 years, compared to 36.4 years in Danville.
- Columbus has a higher median income of $56,250, compared to $48,038 in Danville.
- In Columbus, the percentage of married families is higher at 41.0%, compared to 31.0% in Danville.
- Danville has a higher poverty level at 15% compared to 12% in Columbus.
- Columbus has a higher unemployment rate at 5.0% compared to 4.1% in Danville.
Demographics
Demographics Danville vs Columbus provide insight into the diversity of the communities to compare.
Demographic | Danville | Columbus |
---|---|---|
Black | 12 | 16 |
White | 79 | 58 |
Asian | 1 | 1 |
Hispanic | 4 | 20 |
Two or More Races | 4 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Danville vs Columbus
- In Columbus, the percentage of Black residents is higher at 16% compared to 12% in Danville.
- Danville has a higher percentage of White residents at 79% compared to 58% in Columbus.
- Both Danville and Columbus have the same percentage of Asian residents at 1%.
- Columbus has a higher percentage of Hispanic residents at 20%, compared to 4% in Danville.
- The percentage of residents identifying as two or more races is higher in Columbus at 5%, compared to 4% in Danville.
- The percentage of American Indian residents is the same in both Danville and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Danville | Columbus |
---|---|---|
Mental Health Not Good | 19.1% | 16.4% |
Physical Health Not Good | 14.1% | 11.0% |
Depression | 27.7% | 21.8% |
Smoking | 21.6% | 15.6% |
Binge Drinking | 14.7% | 18.5% |
Obesity | 41.5% | 36.4% |
Disability Percentage | 15.0% | 10.0% |
Health Statistics Comparison: Danville vs Columbus
- More residents in Danville report poor mental health at 19.1% compared to 16.4% in Columbus.
- Depression is more prevalent in Danville at 27.7% compared to 21.8% in Columbus.
- Smoking is more prevalent in Danville at 21.6% compared to 15.6% in Columbus.
- More residents engage in binge drinking in Columbus at 18.5% compared to 14.7% in Danville.
- Obesity rates are higher in Danville at 41.5% compared to 36.4% in Columbus.
- Disability percentages are higher in Danville at 15.0% compared to 10.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Danville | Columbus |
---|---|---|
No Schooling | 0.6% (108) | 2.3% (87) |
High School Diploma | 16.8% (2,899) | 25.1% (934) |
Less than High School | 12.1% (2,102) | 18.8% (699) |
Bachelor's Degree and Higher | 16.1% (2,789) | 19.1% (710) |
Education Levels Comparison: Danville vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 2.3% compared to 0.6% in Danville.
- In Columbus, the rate of residents with high school diplomas is higher at 25.1% compared to 16.8% in Danville.
- The percentage of residents with less than a high school education is higher in Columbus at 18.8%, compared to 12.1% in Danville.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 19.1% compared to 16.1% in Danville.
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.