Demographics details for Kaufman, TX vs College park, MD
Population Overview
Compare main population characteristics in Kaufman, TX vs College park, MD.
| Data | Kaufman | College park |
|---|---|---|
| Population | 172,366 | 34,190 |
| Median Age | 34.6 years | 21.6 years |
| Median Income | $84,075 | $76,973 |
| Married Families | 36.0% | 17.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.8 | 5.5 |
Population Comparison: Kaufman vs College park
- In Kaufman, the population is higher at 172,366, compared to 34,190 in College park.
- Residents in Kaufman have a higher median age of 34.6 years compared to 21.6 years in College park.
- Kaufman has a higher median income of $84,075 compared to $76,973 in College park.
- A higher percentage of married families is found in Kaufman at 36.0% compared to 17.0% in College park.
- The poverty level is identical in both Kaufman and College park at 10%.
- College park has a higher unemployment rate at 5.5% compared to 4.8% in Kaufman.
Demographics
Demographics Kaufman vs College park provide insight into the diversity of the communities to compare.
| Demographic | Kaufman | College park |
|---|---|---|
| Black | 13 | 23 |
| White | 53 | 39 |
| Asian | 1 | 14 |
| Hispanic | 22 | 17 |
| Two or More Races | 11 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kaufman vs College park
- In College park, the percentage of Black residents is higher at 23% compared to 13% in Kaufman.
- Kaufman has a higher percentage of White residents at 53% compared to 39% in College park.
- In College park, the Asian population stands at 14%, greater than 1% in Kaufman.
- The Hispanic community is larger in Kaufman at 22% compared to 17% in College park.
- More residents identify as two or more races in Kaufman at 11% compared to 7% in College park.
- The percentage of American Indian residents is the same in both Kaufman and College park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kaufman | College park |
|---|---|---|
| Mental Health Not Good | 16.8% | 14.8% |
| Physical Health Not Good | 11.4% | 10.0% |
| Depression | 22.6% | 15.4% |
| Smoking | 16.1% | 12.4% |
| Binge Drinking | 18.2% | 12.8% |
| Obesity | 36.6% | 36.4% |
| Disability Percentage | 9.0% | 5.0% |
Health Statistics Comparison: Kaufman vs College park
- More residents in Kaufman report poor mental health at 16.8% compared to 14.8% in College park.
- Depression is more prevalent in Kaufman at 22.6% compared to 15.4% in College park.
- Smoking is more prevalent in Kaufman at 16.1% compared to 12.4% in College park.
- Binge drinking is more common in Kaufman at 18.2% compared to 12.8% in College park.
- Obesity rates are higher in Kaufman at 36.6% compared to 36.4% in College park.
- Disability percentages are higher in Kaufman at 9.0% compared to 5.0% in College park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kaufman | College park |
|---|---|---|
| No Schooling | 1.4% (2,482) | 1.9% (657) |
| High School Diploma | 12.9% (22,235) | 6.4% (2,199) |
| Less than High School | 14.2% (24,496) | 9.4% (3,210) |
| Bachelor's Degree and Higher | 13.1% (22,541) | 19.8% (6,769) |
Education Levels Comparison: Kaufman vs College park
- In College park, a larger percentage of residents lack formal schooling at 1.9% compared to 1.4% in Kaufman.
- A higher percentage of residents in Kaufman hold a high school diploma at 12.9% compared to 6.4% in College park.
- More residents in Kaufman have less than a high school education at 14.2% compared to 9.4% in College park.
- In College park, a larger share of residents have a bachelor's degree or higher at 19.8% 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.