Demographics details for Frankfort, KY vs Kaufman, TX
Population Overview
Compare main population characteristics in Frankfort, KY vs Kaufman, TX.
| Data | Frankfort | Kaufman |
|---|---|---|
| Population | 28,391 | 172,366 |
| Median Age | 34.2 years | 34.6 years |
| Median Income | $53,905 | $84,075 |
| Married Families | 31.0% | 36.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.5 | 4.8 |
Population Comparison: Frankfort vs Kaufman
- The population in Kaufman is higher at 172,366, compared to 28,391 in Frankfort.
- The median age in Kaufman is higher at 34.6 years, compared to 34.2 years in Frankfort.
- Kaufman has a higher median income of $84,075, compared to $53,905 in Frankfort.
- In Kaufman, the percentage of married families is higher at 36.0%, compared to 31.0% in Frankfort.
- Frankfort has a higher poverty level at 12% compared to 10% in Kaufman.
- Kaufman has a higher unemployment rate at 4.8% compared to 4.5% in Frankfort.
Demographics
Demographics Frankfort vs Kaufman provide insight into the diversity of the communities to compare.
| Demographic | Frankfort | Kaufman |
|---|---|---|
| Black | 12 | 13 |
| White | 71 | 53 |
| Asian | 3 | 1 |
| Hispanic | 6 | 22 |
| Two or More Races | 8 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Frankfort vs Kaufman
- In Kaufman, the percentage of Black residents is higher at 13% compared to 12% in Frankfort.
- Frankfort has a higher percentage of White residents at 71% compared to 53% in Kaufman.
- The Asian population is larger in Frankfort at 3% compared to 1% in Kaufman.
- Kaufman has a higher percentage of Hispanic residents at 22%, compared to 6% in Frankfort.
- The percentage of residents identifying as two or more races is higher in Kaufman at 11%, compared to 8% in Frankfort.
- The percentage of American Indian residents is the same in both Frankfort and Kaufman at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Frankfort | Kaufman |
|---|---|---|
| Mental Health Not Good | 18.1% | 16.8% |
| Physical Health Not Good | 13.0% | 11.4% |
| Depression | 26.4% | 22.6% |
| Smoking | 19.4% | 16.1% |
| Binge Drinking | 14.5% | 18.2% |
| Obesity | 38.6% | 36.6% |
| Disability Percentage | 16.0% | 9.0% |
Health Statistics Comparison: Frankfort vs Kaufman
- More residents in Frankfort report poor mental health at 18.1% compared to 16.8% in Kaufman.
- Depression is more prevalent in Frankfort at 26.4% compared to 22.6% in Kaufman.
- Smoking is more prevalent in Frankfort at 19.4% compared to 16.1% in Kaufman.
- More residents engage in binge drinking in Kaufman at 18.2% compared to 14.5% in Frankfort.
- Obesity rates are higher in Frankfort at 38.6% compared to 36.6% in Kaufman.
- Disability percentages are higher in Frankfort at 16.0% compared to 9.0% in Kaufman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Frankfort | Kaufman |
|---|---|---|
| No Schooling | 0.3% (89) | 1.4% (2,482) |
| High School Diploma | 15.3% (4,339) | 12.9% (22,235) |
| Less than High School | 11.5% (3,279) | 14.2% (24,496) |
| Bachelor's Degree and Higher | 18.7% (5,295) | 13.1% (22,541) |
Education Levels Comparison: Frankfort vs Kaufman
- In Kaufman, a larger percentage of residents lack formal schooling at 1.4% compared to 0.3% in Frankfort.
- A higher percentage of residents in Frankfort hold a high school diploma at 15.3% compared to 12.9% in Kaufman.
- The percentage of residents with less than a high school education is higher in Kaufman at 14.2%, compared to 11.5% in Frankfort.
- A higher percentage of residents in Frankfort hold a bachelor's degree or higher at 18.7% compared to 13.1% in Kaufman.
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.