Demographics details for Columbia, SC vs Kaufman, TX
Population Overview
Compare main population characteristics in Columbia, SC vs Kaufman, TX.
| Data | Columbia | Kaufman |
|---|---|---|
| Population | 139,698 | 172,366 |
| Median Age | 28.3 years | 34.6 years |
| Median Income | $54,095 | $84,075 |
| Married Families | 25.0% | 36.0% |
| Poverty Level | 17% | 10% |
| Unemployment Rate | 5.8 | 4.8 |
Population Comparison: Columbia vs Kaufman
- The population in Kaufman is higher at 172,366, compared to 139,698 in Columbia.
- The median age in Kaufman is higher at 34.6 years, compared to 28.3 years in Columbia.
- Kaufman has a higher median income of $84,075, compared to $54,095 in Columbia.
- In Kaufman, the percentage of married families is higher at 36.0%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 10% in Kaufman.
- The unemployment rate in Columbia is higher at 5.8%, compared to 4.8% in Kaufman.
Demographics
Demographics Columbia vs Kaufman provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Kaufman |
|---|---|---|
| Black | 40 | 13 |
| White | 48 | 53 |
| Asian | 2 | 1 |
| Hispanic | 5 | 22 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Kaufman
- A higher percentage of Black residents are in Columbia at 40% compared to 13% in Kaufman.
- The percentage of White residents is higher in Kaufman at 53% compared to 48% in Columbia.
- The Asian population is larger in Columbia at 2% compared to 1% in Kaufman.
- Kaufman has a higher percentage of Hispanic residents at 22%, compared to 5% in Columbia.
- The percentage of residents identifying as two or more races is higher in Kaufman at 11%, compared to 5% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and Kaufman at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Kaufman |
|---|---|---|
| Mental Health Not Good | 18.6% | 16.8% |
| Physical Health Not Good | 13.1% | 11.4% |
| Depression | 20.8% | 22.6% |
| Smoking | 19.1% | 16.1% |
| Binge Drinking | 18.1% | 18.2% |
| Obesity | 39.0% | 36.6% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Columbia vs Kaufman
- More residents in Columbia report poor mental health at 18.6% compared to 16.8% in Kaufman.
- Higher depression rates are seen in Kaufman at 22.6% versus 20.8% in Columbia.
- Smoking is more prevalent in Columbia at 19.1% compared to 16.1% in Kaufman.
- More residents engage in binge drinking in Kaufman at 18.2% compared to 18.1% in Columbia.
- Obesity rates are higher in Columbia at 39.0% compared to 36.6% in Kaufman.
- Disability percentages are higher in Columbia at 11.0% 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 | Columbia | Kaufman |
|---|---|---|
| No Schooling | 0.4% (555) | 1.4% (2,482) |
| High School Diploma | 8.4% (11,712) | 12.9% (22,235) |
| Less than High School | 5.9% (8,257) | 14.2% (24,496) |
| Bachelor's Degree and Higher | 24.7% (34,575) | 13.1% (22,541) |
Education Levels Comparison: Columbia vs Kaufman
- In Kaufman, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Columbia.
- In Kaufman, the rate of residents with high school diplomas is higher at 12.9% compared to 8.4% in Columbia.
- The percentage of residents with less than a high school education is higher in Kaufman at 14.2%, compared to 5.9% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 24.7% 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.