Demographics details for Kaufman, TX vs Baltimore, MD
Population Overview
Compare main population characteristics in Kaufman, TX vs Baltimore, MD.
| Data | Kaufman | Baltimore |
|---|---|---|
| Population | 172,366 | 569,931 |
| Median Age | 34.6 years | 36.0 years |
| Median Income | $84,075 | $58,349 |
| Married Families | 36.0% | 23.0% |
| Poverty Level | 10% | 16% |
| Unemployment Rate | 4.8 | 4.3 |
Population Comparison: Kaufman vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 172,366 in Kaufman.
- The median age in Baltimore is higher at 36.0 years, compared to 34.6 years in Kaufman.
- Kaufman has a higher median income of $84,075 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Kaufman at 36.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 10% in Kaufman.
- The unemployment rate in Kaufman is higher at 4.8%, compared to 4.3% in Baltimore.
Demographics
Demographics Kaufman vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Kaufman | Baltimore |
|---|---|---|
| Black | 13 | 63 |
| White | 53 | 23 |
| Asian | 1 | 3 |
| Hispanic | 22 | 6 |
| Two or More Races | 11 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kaufman vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 13% in Kaufman.
- Kaufman has a higher percentage of White residents at 53% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 1% in Kaufman.
- The Hispanic community is larger in Kaufman at 22% compared to 6% in Baltimore.
- More residents identify as two or more races in Kaufman at 11% compared to 5% in Baltimore.
- The percentage of American Indian residents is the same in both Kaufman and Baltimore at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kaufman | Baltimore |
|---|---|---|
| Mental Health Not Good | 16.8% | 17.9% |
| Physical Health Not Good | 11.4% | 12.3% |
| Depression | 22.6% | 20.2% |
| Smoking | 16.1% | 19.8% |
| Binge Drinking | 18.2% | 15.4% |
| Obesity | 36.6% | 37.1% |
| Disability Percentage | 9.0% | 16.0% |
Health Statistics Comparison: Kaufman vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 16.8% in Kaufman.
- Depression is more prevalent in Kaufman at 22.6% compared to 20.2% in Baltimore.
- Baltimore has a higher smoking rate at 19.8% compared to 16.1% in Kaufman.
- Binge drinking is more common in Kaufman at 18.2% compared to 15.4% in Baltimore.
- Baltimore has higher obesity rates at 37.1% compared to 36.6% in Kaufman.
- There is a higher percentage of disabled individuals in Baltimore 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 | Kaufman | Baltimore |
|---|---|---|
| No Schooling | 1.4% (2,482) | 1.2% (6,683) |
| High School Diploma | 12.9% (22,235) | 16.8% (95,744) |
| Less than High School | 14.2% (24,496) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 13.1% (22,541) | 25.1% (143,174) |
Education Levels Comparison: Kaufman vs Baltimore
- A higher percentage of residents in Kaufman have no formal schooling at 1.4% compared to 1.2% in Baltimore.
- In Baltimore, the rate of residents with high school diplomas is higher at 16.8% compared to 12.9% in Kaufman.
- More residents in Kaufman have less than a high school education at 14.2% compared to 11.9% in Baltimore.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% 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.