Demographics details for Columbia, SC vs Purcell, OK
Population Overview
Compare main population characteristics in Columbia, SC vs Purcell, OK.
| Data | Columbia | Purcell |
|---|---|---|
| Population | 139,698 | 6,762 |
| Median Age | 28.3 years | 34.7 years |
| Median Income | $54,095 | $68,295 |
| Married Families | 25.0% | 37.0% |
| Poverty Level | 17% | 12% |
| Unemployment Rate | 5.8 | 3.6 |
Population Comparison: Columbia vs Purcell
- In Columbia, the population is higher at 139,698, compared to 6,762 in Purcell.
- The median age in Purcell is higher at 34.7 years, compared to 28.3 years in Columbia.
- Purcell has a higher median income of $68,295, compared to $54,095 in Columbia.
- In Purcell, the percentage of married families is higher at 37.0%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 12% in Purcell.
- The unemployment rate in Columbia is higher at 5.8%, compared to 3.6% in Purcell.
Demographics
Demographics Columbia vs Purcell provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Purcell |
|---|---|---|
| Black | 40 | 1 |
| White | 48 | 67 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 16 |
| Two or More Races | 5 | 13 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Columbia vs Purcell
- A higher percentage of Black residents are in Columbia at 40% compared to 1% in Purcell.
- The percentage of White residents is higher in Purcell at 67% compared to 48% in Columbia.
- The Asian population is larger in Columbia at 2% compared to 0% in Purcell.
- Purcell has a higher percentage of Hispanic residents at 16%, compared to 5% in Columbia.
- The percentage of residents identifying as two or more races is higher in Purcell at 13%, compared to 5% in Columbia.
- In Purcell, the percentage of American Indian residents is higher at 3%, compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Purcell |
|---|---|---|
| Mental Health Not Good | 18.6% | 18.6% |
| Physical Health Not Good | 13.1% | 13.5% |
| Depression | 20.8% | 25.3% |
| Smoking | 19.1% | 21.0% |
| Binge Drinking | 18.1% | 14.4% |
| Obesity | 39.0% | 42.7% |
| Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Columbia vs Purcell
- Poor mental health levels are equal in both Columbia and Purcell at 18.6%.
- Higher depression rates are seen in Purcell at 25.3% versus 20.8% in Columbia.
- Purcell has a higher smoking rate at 21.0% compared to 19.1% in Columbia.
- Binge drinking is more common in Columbia at 18.1% compared to 14.4% in Purcell.
- Purcell has higher obesity rates at 42.7% compared to 39.0% in Columbia.
- There is a higher percentage of disabled individuals in Purcell at 15.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Purcell |
|---|---|---|
| No Schooling | 0.4% (555) | 0.4% (29) |
| High School Diploma | 8.4% (11,712) | 20.2% (1,367) |
| Less than High School | 5.9% (8,257) | 26.2% (1,775) |
| Bachelor's Degree and Higher | 24.7% (34,575) | 12.1% (821) |
Education Levels Comparison: Columbia vs Purcell
- The percentage of residents with no formal schooling is the same in both Columbia and Purcell at 0.4%.
- In Purcell, the rate of residents with high school diplomas is higher at 20.2% compared to 8.4% in Columbia.
- The percentage of residents with less than a high school education is higher in Purcell at 26.2%, 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 12.1% in Purcell.
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.