Demographics details for Dike, TX vs Columbia, SC
Population Overview
Compare main population characteristics in Dike, TX vs Columbia, SC.
| Data | Dike | Columbia |
|---|---|---|
| Population | 103 | 139,698 |
| Median Age | 44.0 years | 28.3 years |
| Median Income | $50,000 | $54,095 |
| Married Families | 20.0% | 25.0% |
| Poverty Level | 15% | 17% |
| Unemployment Rate | 4.0 | 5.8 |
Population Comparison: Dike vs Columbia
- The population in Columbia is higher at 139,698, compared to 103 in Dike.
- Residents in Dike have a higher median age of 44.0 years compared to 28.3 years in Columbia.
- Columbia has a higher median income of $54,095, compared to $50,000 in Dike.
- In Columbia, the percentage of married families is higher at 25.0%, compared to 20.0% in Dike.
- The poverty level is higher in Columbia at 17%, compared to 15% in Dike.
- Columbia has a higher unemployment rate at 5.8% compared to 4.0% in Dike.
Demographics
Demographics Dike vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Dike | Columbia |
|---|---|---|
| Black | Data is updating | 40 |
| White | 100 | 48 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 5 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dike vs Columbia
- In Columbia, the percentage of Black residents is higher at 40% compared to 0% in Dike.
- Dike has a higher percentage of White residents at 100% compared to 48% in Columbia.
- In Columbia, the Asian population stands at 2%, greater than 0% in Dike.
- Columbia has a higher percentage of Hispanic residents at 5%, compared to 0% in Dike.
- The percentage of residents identifying as two or more races is higher in Columbia at 5%, compared to 0% in Dike.
- The percentage of American Indian residents is the same in both Dike and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dike | Columbia |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.6% |
| Physical Health Not Good | Data is updating% | 13.1% |
| Depression | Data is updating% | 20.8% |
| Smoking | Data is updating% | 19.1% |
| Binge Drinking | Data is updating% | 18.1% |
| Obesity | Data is updating% | 39.0% |
| Disability Percentage | Data is updating% | 11.0% |
Health Statistics Comparison: Dike vs Columbia
- In Columbia, a higher percentage report poor mental health at 18.6% compared to 0.0% in Dike.
- Higher depression rates are seen in Columbia at 20.8% versus 0.0% in Dike.
- Columbia has a higher smoking rate at 19.1% compared to 0.0% in Dike.
- More residents engage in binge drinking in Columbia at 18.1% compared to 0.0% in Dike.
- Columbia has higher obesity rates at 39.0% compared to 0.0% in Dike.
- There is a higher percentage of disabled individuals in Columbia at 11.0% compared to 0.0% in Dike.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dike | Columbia |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (555) |
| High School Diploma | 0.0% (Data is updating) | 8.4% (11,712) |
| Less than High School | 0.0% (Data is updating) | 5.9% (8,257) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 24.7% (34,575) |
Education Levels Comparison: Dike vs Columbia
- In Columbia, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Dike.
- In Columbia, the rate of residents with high school diplomas is higher at 8.4% compared to 0.0% in Dike.
- The percentage of residents with less than a high school education is higher in Columbia at 5.9%, compared to 0.0% in Dike.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 24.7% compared to 0.0% in Dike.
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.