Demographics details for Columbia, MO vs Frankfort, KY
Population Overview
Compare main population characteristics in Columbia, MO vs Frankfort, KY.
| Data | Columbia | Frankfort |
|---|---|---|
| Population | 128,555 | 28,391 |
| Median Age | 28.8 years | 34.2 years |
| Median Income | $60,455 | $53,905 |
| Married Families | 32.0% | 31.0% |
| Poverty Level | 19% | 12% |
| Unemployment Rate | 3.8 | 4.5 |
Population Comparison: Columbia vs Frankfort
- In Columbia, the population is higher at 128,555, compared to 28,391 in Frankfort.
- The median age in Frankfort is higher at 34.2 years, compared to 28.8 years in Columbia.
- Columbia has a higher median income of $60,455 compared to $53,905 in Frankfort.
- A higher percentage of married families is found in Columbia at 32.0% compared to 31.0% in Frankfort.
- Columbia has a higher poverty level at 19% compared to 12% in Frankfort.
- Frankfort has a higher unemployment rate at 4.5% compared to 3.8% in Columbia.
Demographics
Demographics Columbia vs Frankfort provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Frankfort |
|---|---|---|
| Black | 11 | 12 |
| White | 73 | 71 |
| Asian | 6 | 3 |
| Hispanic | 4 | 6 |
| Two or More Races | 6 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Frankfort
- In Frankfort, the percentage of Black residents is higher at 12% compared to 11% in Columbia.
- Columbia has a higher percentage of White residents at 73% compared to 71% in Frankfort.
- The Asian population is larger in Columbia at 6% compared to 3% in Frankfort.
- Frankfort has a higher percentage of Hispanic residents at 6%, compared to 4% in Columbia.
- The percentage of residents identifying as two or more races is higher in Frankfort at 8%, compared to 6% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and Frankfort at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Frankfort |
|---|---|---|
| Mental Health Not Good | 16.7% | 18.1% |
| Physical Health Not Good | 11.4% | 13.0% |
| Depression | 25.3% | 26.4% |
| Smoking | 16.3% | 19.4% |
| Binge Drinking | 17.7% | 14.5% |
| Obesity | 33.5% | 38.6% |
| Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Columbia vs Frankfort
- In Frankfort, a higher percentage report poor mental health at 18.1% compared to 16.7% in Columbia.
- Higher depression rates are seen in Frankfort at 26.4% versus 25.3% in Columbia.
- Frankfort has a higher smoking rate at 19.4% compared to 16.3% in Columbia.
- Binge drinking is more common in Columbia at 17.7% compared to 14.5% in Frankfort.
- Frankfort has higher obesity rates at 38.6% compared to 33.5% in Columbia.
- There is a higher percentage of disabled individuals in Frankfort at 16.0% 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 | Frankfort |
|---|---|---|
| No Schooling | 0.7% (845) | 0.3% (89) |
| High School Diploma | 7.8% (9,965) | 15.3% (4,339) |
| Less than High School | 4.2% (5,383) | 11.5% (3,279) |
| Bachelor's Degree and Higher | 30.5% (39,270) | 18.7% (5,295) |
Education Levels Comparison: Columbia vs Frankfort
- A higher percentage of residents in Columbia have no formal schooling at 0.7% compared to 0.3% in Frankfort.
- In Frankfort, the rate of residents with high school diplomas is higher at 15.3% compared to 7.8% in Columbia.
- The percentage of residents with less than a high school education is higher in Frankfort at 11.5%, compared to 4.2% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 30.5% compared to 18.7% in Frankfort.
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.