Demographics details for Columbia, SC vs Owingsville, KY
Population Overview
Compare main population characteristics in Columbia, SC vs Owingsville, KY.
| Data | Columbia | Owingsville |
|---|---|---|
| Population | 139,698 | 1,587 |
| Median Age | 28.3 years | 38.1 years |
| Median Income | $54,095 | $38,255 |
| Married Families | 25.0% | 41.0% |
| Poverty Level | 17% | 15% |
| Unemployment Rate | 5.8 | 5.0 |
Population Comparison: Columbia vs Owingsville
- In Columbia, the population is higher at 139,698, compared to 1,587 in Owingsville.
- The median age in Owingsville is higher at 38.1 years, compared to 28.3 years in Columbia.
- Columbia has a higher median income of $54,095 compared to $38,255 in Owingsville.
- In Owingsville, the percentage of married families is higher at 41.0%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 15% in Owingsville.
- The unemployment rate in Columbia is higher at 5.8%, compared to 5.0% in Owingsville.
Demographics
Demographics Columbia vs Owingsville provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Owingsville |
|---|---|---|
| Black | 40 | 4 |
| White | 48 | 91 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 2 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Owingsville
- A higher percentage of Black residents are in Columbia at 40% compared to 4% in Owingsville.
- The percentage of White residents is higher in Owingsville at 91% compared to 48% in Columbia.
- The Asian population is larger in Columbia at 2% compared to 0% in Owingsville.
- The Hispanic community is larger in Columbia at 5% compared to 2% in Owingsville.
- More residents identify as two or more races in Columbia at 5% compared to 3% in Owingsville.
- The percentage of American Indian residents is the same in both Columbia and Owingsville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Owingsville |
|---|---|---|
| Mental Health Not Good | 18.6% | 20.1% |
| Physical Health Not Good | 13.1% | 14.7% |
| Depression | 20.8% | 29.1% |
| Smoking | 19.1% | 24.0% |
| Binge Drinking | 18.1% | 15.4% |
| Obesity | 39.0% | 37.5% |
| Disability Percentage | 11.0% | 39.0% |
Health Statistics Comparison: Columbia vs Owingsville
- In Owingsville, a higher percentage report poor mental health at 20.1% compared to 18.6% in Columbia.
- Higher depression rates are seen in Owingsville at 29.1% versus 20.8% in Columbia.
- Owingsville has a higher smoking rate at 24.0% compared to 19.1% in Columbia.
- Binge drinking is more common in Columbia at 18.1% compared to 15.4% in Owingsville.
- Obesity rates are higher in Columbia at 39.0% compared to 37.5% in Owingsville.
- There is a higher percentage of disabled individuals in Owingsville at 39.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Owingsville |
|---|---|---|
| No Schooling | 0.4% (555) | 1.1% (18) |
| High School Diploma | 8.4% (11,712) | 24.3% (386) |
| Less than High School | 5.9% (8,257) | 25.0% (396) |
| Bachelor's Degree and Higher | 24.7% (34,575) | 11.3% (180) |
Education Levels Comparison: Columbia vs Owingsville
- In Owingsville, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Columbia.
- In Owingsville, the rate of residents with high school diplomas is higher at 24.3% compared to 8.4% in Columbia.
- The percentage of residents with less than a high school education is higher in Owingsville at 25.0%, compared to 5.9% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 24.7% compared to 11.3% in Owingsville.
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.