Demographics details for Bowie, MD vs Kaufman, TX
Population Overview
Compare main population characteristics in Bowie, MD vs Kaufman, TX.
| Data | Bowie | Kaufman |
|---|---|---|
| Population | 57,192 | 172,366 |
| Median Age | 43.2 years | 34.6 years |
| Median Income | $138,797 | $84,075 |
| Married Families | 41.0% | 36.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 2.8 | 4.8 |
Population Comparison: Bowie vs Kaufman
- The population in Kaufman is higher at 172,366, compared to 57,192 in Bowie.
- Residents in Bowie have a higher median age of 43.2 years compared to 34.6 years in Kaufman.
- Bowie has a higher median income of $138,797 compared to $84,075 in Kaufman.
- A higher percentage of married families is found in Bowie at 41.0% compared to 36.0% in Kaufman.
- The poverty level is higher in Kaufman at 10%, compared to 5% in Bowie.
- Kaufman has a higher unemployment rate at 4.8% compared to 2.8% in Bowie.
Demographics
Demographics Bowie vs Kaufman provide insight into the diversity of the communities to compare.
| Demographic | Bowie | Kaufman |
|---|---|---|
| Black | 58 | 13 |
| White | 24 | 53 |
| Asian | 3 | 1 |
| Hispanic | 8 | 22 |
| Two or More Races | 7 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bowie vs Kaufman
- A higher percentage of Black residents are in Bowie at 58% compared to 13% in Kaufman.
- The percentage of White residents is higher in Kaufman at 53% compared to 24% in Bowie.
- The Asian population is larger in Bowie at 3% compared to 1% in Kaufman.
- Kaufman has a higher percentage of Hispanic residents at 22%, compared to 8% in Bowie.
- The percentage of residents identifying as two or more races is higher in Kaufman at 11%, compared to 7% in Bowie.
- The percentage of American Indian residents is the same in both Bowie and Kaufman at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bowie | Kaufman |
|---|---|---|
| Mental Health Not Good | 12.4% | 16.8% |
| Physical Health Not Good | 7.4% | 11.4% |
| Depression | 13.3% | 22.6% |
| Smoking | 8.7% | 16.1% |
| Binge Drinking | 13.6% | 18.2% |
| Obesity | 35.1% | 36.6% |
| Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Bowie vs Kaufman
- In Kaufman, a higher percentage report poor mental health at 16.8% compared to 12.4% in Bowie.
- Higher depression rates are seen in Kaufman at 22.6% versus 13.3% in Bowie.
- Kaufman has a higher smoking rate at 16.1% compared to 8.7% in Bowie.
- More residents engage in binge drinking in Kaufman at 18.2% compared to 13.6% in Bowie.
- Kaufman has higher obesity rates at 36.6% compared to 35.1% in Bowie.
- Disability percentages are the same in both Bowie and Kaufman at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bowie | Kaufman |
|---|---|---|
| No Schooling | 0.9% (531) | 1.4% (2,482) |
| High School Diploma | 12.2% (6,950) | 12.9% (22,235) |
| Less than High School | 5.9% (3,399) | 14.2% (24,496) |
| Bachelor's Degree and Higher | 35.9% (20,525) | 13.1% (22,541) |
Education Levels Comparison: Bowie vs Kaufman
- In Kaufman, a larger percentage of residents lack formal schooling at 1.4% compared to 0.9% in Bowie.
- In Kaufman, the rate of residents with high school diplomas is higher at 12.9% compared to 12.2% in Bowie.
- The percentage of residents with less than a high school education is higher in Kaufman at 14.2%, compared to 5.9% in Bowie.
- A higher percentage of residents in Bowie hold a bachelor's degree or higher at 35.9% 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.