Demographics details for Columbia, VA vs Sandy, UT
Population Overview
Compare main population characteristics in Columbia, VA vs Sandy, UT.
| Data | Columbia | Sandy |
|---|---|---|
| Population | 40 | 93,022 |
| Median Age | 68.2 years | 36.9 years |
| Median Income | $121,250 | $108,165 |
| Married Families | 55.0% | 47.0% |
| Poverty Level | Data is updating | 6% |
| Unemployment Rate | 3.2 | 3.6 |
Population Comparison: Columbia vs Sandy
- The population in Sandy is higher at 93,022, compared to 40 in Columbia.
- Residents in Columbia have a higher median age of 68.2 years compared to 36.9 years in Sandy.
- Columbia has a higher median income of $121,250 compared to $108,165 in Sandy.
- A higher percentage of married families is found in Columbia at 55.0% compared to 47.0% in Sandy.
- The poverty level is higher in Sandy at 6%, compared to 0% in Columbia.
- Sandy has a higher unemployment rate at 3.6% compared to 3.2% in Columbia.
Demographics
Demographics Columbia vs Sandy provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Sandy |
|---|---|---|
| Black | Data is updating | 1 |
| White | 100 | 77 |
| Asian | Data is updating | 4 |
| Hispanic | Data is updating | 11 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Columbia vs Sandy
- In Sandy, the percentage of Black residents is higher at 1% compared to 0% in Columbia.
- Columbia has a higher percentage of White residents at 100% compared to 77% in Sandy.
- In Sandy, the Asian population stands at 4%, greater than 0% in Columbia.
- Sandy has a higher percentage of Hispanic residents at 11%, compared to 0% in Columbia.
- The percentage of residents identifying as two or more races is higher in Sandy at 6%, compared to 0% in Columbia.
- In Sandy, 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 | Sandy |
|---|---|---|
| Mental Health Not Good | 17.2% | 17.1% |
| Physical Health Not Good | 9.9% | 9.4% |
| Depression | 22.1% | 26.7% |
| Smoking | 16.5% | 7.8% |
| Binge Drinking | 17.4% | 16.4% |
| Obesity | 41.8% | 29.0% |
| Disability Percentage | 2.0% | 9.0% |
Health Statistics Comparison: Columbia vs Sandy
- More residents in Columbia report poor mental health at 17.2% compared to 17.1% in Sandy.
- Higher depression rates are seen in Sandy at 26.7% versus 22.1% in Columbia.
- Smoking is more prevalent in Columbia at 16.5% compared to 7.8% in Sandy.
- Binge drinking is more common in Columbia at 17.4% compared to 16.4% in Sandy.
- Obesity rates are higher in Columbia at 41.8% compared to 29.0% in Sandy.
- There is a higher percentage of disabled individuals in Sandy at 9.0% compared to 2.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Sandy |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (424) |
| High School Diploma | 0.0% (Data is updating) | 10.9% (10,176) |
| Less than High School | 0.0% (Data is updating) | 5.7% (5,337) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 30.5% (28,394) |
Education Levels Comparison: Columbia vs Sandy
- In Sandy, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Columbia.
- In Sandy, the rate of residents with high school diplomas is higher at 10.9% compared to 0.0% in Columbia.
- The percentage of residents with less than a high school education is higher in Sandy at 5.7%, compared to 0.0% in Columbia.
- In Sandy, a larger share of residents have a bachelor's degree or higher at 30.5% compared to 0.0% 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.