Demographics details for Sandy, UT vs Columbus, TX
Population Overview
Compare main population characteristics in Sandy, UT vs Columbus, TX.
| Data | Sandy | Columbus |
|---|---|---|
| Population | 93,022 | 3,714 |
| Median Age | 36.9 years | 47.0 years |
| Median Income | $108,165 | $56,250 |
| Married Families | 47.0% | 41.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 3.6 | 5.0 |
Population Comparison: Sandy vs Columbus
- In Sandy, the population is higher at 93,022, compared to 3,714 in Columbus.
- The median age in Columbus is higher at 47.0 years, compared to 36.9 years in Sandy.
- Sandy has a higher median income of $108,165 compared to $56,250 in Columbus.
- A higher percentage of married families is found in Sandy at 47.0% compared to 41.0% in Columbus.
- The poverty level is higher in Columbus at 12%, compared to 6% in Sandy.
- Columbus has a higher unemployment rate at 5.0% compared to 3.6% in Sandy.
Demographics
Demographics Sandy vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Sandy | Columbus |
|---|---|---|
| Black | 1 | 16 |
| White | 77 | 58 |
| Asian | 4 | 1 |
| Hispanic | 11 | 20 |
| Two or More Races | 6 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Sandy vs Columbus
- In Columbus, the percentage of Black residents is higher at 16% compared to 1% in Sandy.
- Sandy has a higher percentage of White residents at 77% compared to 58% in Columbus.
- The Asian population is larger in Sandy at 4% compared to 1% in Columbus.
- Columbus has a higher percentage of Hispanic residents at 20%, compared to 11% in Sandy.
- More residents identify as two or more races in Sandy at 6% compared to 5% in Columbus.
- A greater percentage of American Indian residents live in Sandy at 1% compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sandy | Columbus |
|---|---|---|
| Mental Health Not Good | 17.1% | 16.4% |
| Physical Health Not Good | 9.4% | 11.0% |
| Depression | 26.7% | 21.8% |
| Smoking | 7.8% | 15.6% |
| Binge Drinking | 16.4% | 18.5% |
| Obesity | 29.0% | 36.4% |
| Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Sandy vs Columbus
- More residents in Sandy report poor mental health at 17.1% compared to 16.4% in Columbus.
- Depression is more prevalent in Sandy at 26.7% compared to 21.8% in Columbus.
- Columbus has a higher smoking rate at 15.6% compared to 7.8% in Sandy.
- More residents engage in binge drinking in Columbus at 18.5% compared to 16.4% in Sandy.
- Columbus has higher obesity rates at 36.4% compared to 29.0% in Sandy.
- There is a higher percentage of disabled individuals in Columbus at 10.0% compared to 9.0% in Sandy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sandy | Columbus |
|---|---|---|
| No Schooling | 0.5% (424) | 2.3% (87) |
| High School Diploma | 10.9% (10,176) | 25.1% (934) |
| Less than High School | 5.7% (5,337) | 18.8% (699) |
| Bachelor's Degree and Higher | 30.5% (28,394) | 19.1% (710) |
Education Levels Comparison: Sandy vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 2.3% compared to 0.5% in Sandy.
- In Columbus, the rate of residents with high school diplomas is higher at 25.1% compared to 10.9% in Sandy.
- The percentage of residents with less than a high school education is higher in Columbus at 18.8%, compared to 5.7% in Sandy.
- A higher percentage of residents in Sandy hold a bachelor's degree or higher at 30.5% compared to 19.1% in Columbus.
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.