Demographics details for Columbia, SC vs Oakland, CA
Population Overview
Compare main population characteristics in Columbia, SC vs Oakland, CA.
| Data | Columbia | Oakland |
|---|---|---|
| Population | 139,698 | 430,553 |
| Median Age | 28.3 years | 37.5 years |
| Median Income | $54,095 | $94,389 |
| Married Families | 25.0% | 34.0% |
| Poverty Level | 17% | 13% |
| Unemployment Rate | 5.8 | 5.0 |
Population Comparison: Columbia vs Oakland
- The population in Oakland is higher at 430,553, compared to 139,698 in Columbia.
- The median age in Oakland is higher at 37.5 years, compared to 28.3 years in Columbia.
- Oakland has a higher median income of $94,389, compared to $54,095 in Columbia.
- In Oakland, the percentage of married families is higher at 34.0%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 13% in Oakland.
- The unemployment rate in Columbia is higher at 5.8%, compared to 5.0% in Oakland.
Demographics
Demographics Columbia vs Oakland provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Oakland |
|---|---|---|
| Black | 40 | 22 |
| White | 48 | 24 |
| Asian | 2 | 16 |
| Hispanic | 5 | 27 |
| Two or More Races | 5 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Columbia vs Oakland
- A higher percentage of Black residents are in Columbia at 40% compared to 22% in Oakland.
- Columbia has a higher percentage of White residents at 48% compared to 24% in Oakland.
- In Oakland, the Asian population stands at 16%, greater than 2% in Columbia.
- Oakland has a higher percentage of Hispanic residents at 27%, compared to 5% in Columbia.
- The percentage of residents identifying as two or more races is higher in Oakland at 10%, compared to 5% in Columbia.
- In Oakland, the percentage of American Indian residents is higher at 1%, compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Oakland |
|---|---|---|
| Mental Health Not Good | 18.6% | 16.2% |
| Physical Health Not Good | 13.1% | 10.8% |
| Depression | 20.8% | 17.8% |
| Smoking | 19.1% | 12.0% |
| Binge Drinking | 18.1% | 14.7% |
| Obesity | 39.0% | 30.5% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Columbia vs Oakland
- More residents in Columbia report poor mental health at 18.6% compared to 16.2% in Oakland.
- Depression is more prevalent in Columbia at 20.8% compared to 17.8% in Oakland.
- Smoking is more prevalent in Columbia at 19.1% compared to 12.0% in Oakland.
- Binge drinking is more common in Columbia at 18.1% compared to 14.7% in Oakland.
- Obesity rates are higher in Columbia at 39.0% compared to 30.5% in Oakland.
- Disability percentages are the same in both Columbia and Oakland at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Oakland |
|---|---|---|
| No Schooling | 0.4% (555) | 3.1% (13,479) |
| High School Diploma | 8.4% (11,712) | 10.9% (46,896) |
| Less than High School | 5.9% (8,257) | 17.1% (73,435) |
| Bachelor's Degree and Higher | 24.7% (34,575) | 36.3% (156,333) |
Education Levels Comparison: Columbia vs Oakland
- In Oakland, a larger percentage of residents lack formal schooling at 3.1% compared to 0.4% in Columbia.
- In Oakland, the rate of residents with high school diplomas is higher at 10.9% compared to 8.4% in Columbia.
- The percentage of residents with less than a high school education is higher in Oakland at 17.1%, compared to 5.9% in Columbia.
- In Oakland, a larger share of residents have a bachelor's degree or higher at 36.3% compared to 24.7% in Columbia.
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.