Demographics details for Provo, UT vs Columbia, SC
Population Overview
Compare main population characteristics in Provo, UT vs Columbia, SC.
| Data | Provo | Columbia |
|---|---|---|
| Population | 113,523 | 139,698 |
| Median Age | 23.6 years | 28.3 years |
| Median Income | $57,943 | $54,095 |
| Married Families | 36.0% | 25.0% |
| Poverty Level | 11% | 17% |
| Unemployment Rate | 4.0 | 5.8 |
Population Comparison: Provo vs Columbia
- The population in Columbia is higher at 139,698, compared to 113,523 in Provo.
- The median age in Columbia is higher at 28.3 years, compared to 23.6 years in Provo.
- Provo has a higher median income of $57,943 compared to $54,095 in Columbia.
- A higher percentage of married families is found in Provo at 36.0% compared to 25.0% in Columbia.
- The poverty level is higher in Columbia at 17%, compared to 11% in Provo.
- Columbia has a higher unemployment rate at 5.8% compared to 4.0% in Provo.
Demographics
Demographics Provo vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Provo | Columbia |
|---|---|---|
| Black | 1 | 40 |
| White | 69 | 48 |
| Asian | 2 | 2 |
| Hispanic | 18 | 5 |
| Two or More Races | 9 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Provo vs Columbia
- In Columbia, the percentage of Black residents is higher at 40% compared to 1% in Provo.
- Provo has a higher percentage of White residents at 69% compared to 48% in Columbia.
- Both Provo and Columbia have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Provo at 18% compared to 5% in Columbia.
- More residents identify as two or more races in Provo at 9% compared to 5% in Columbia.
- A greater percentage of American Indian residents live in Provo at 1% compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Provo | Columbia |
|---|---|---|
| Mental Health Not Good | 16.3% | 18.6% |
| Physical Health Not Good | 12.0% | 13.1% |
| Depression | 24.5% | 20.8% |
| Smoking | 8.4% | 19.1% |
| Binge Drinking | 7.3% | 18.1% |
| Obesity | 33.5% | 39.0% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Provo vs Columbia
- In Columbia, a higher percentage report poor mental health at 18.6% compared to 16.3% in Provo.
- Depression is more prevalent in Provo at 24.5% compared to 20.8% in Columbia.
- Columbia has a higher smoking rate at 19.1% compared to 8.4% in Provo.
- More residents engage in binge drinking in Columbia at 18.1% compared to 7.3% in Provo.
- Columbia has higher obesity rates at 39.0% compared to 33.5% in Provo.
- There is a higher percentage of disabled individuals in Columbia at 11.0% compared to 10.0% in Provo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Provo | Columbia |
|---|---|---|
| No Schooling | 0.6% (663) | 0.4% (555) |
| High School Diploma | 4.6% (5,209) | 8.4% (11,712) |
| Less than High School | 5.7% (6,435) | 5.9% (8,257) |
| Bachelor's Degree and Higher | 18.3% (20,752) | 24.7% (34,575) |
Education Levels Comparison: Provo vs Columbia
- A higher percentage of residents in Provo have no formal schooling at 0.6% compared to 0.4% in Columbia.
- In Columbia, the rate of residents with high school diplomas is higher at 8.4% compared to 4.6% in Provo.
- The percentage of residents with less than a high school education is higher in Columbia at 5.9%, compared to 5.7% in Provo.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 24.7% compared to 18.3% in Provo.
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.