Demographics details for West columbia, SC vs Helper, UT
Population Overview
Compare main population characteristics in West columbia, SC vs Helper, UT.
| Data | West columbia | Helper |
|---|---|---|
| Population | 17,618 | 2,131 |
| Median Age | 37.3 years | 43.2 years |
| Median Income | $52,648 | $59,323 |
| Married Families | 32.0% | 61.0% |
| Poverty Level | 9% | 11% |
| Unemployment Rate | 3.7 | 2.5 |
Population Comparison: West columbia vs Helper
- In West columbia, the population is higher at 17,618, compared to 2,131 in Helper.
- The median age in Helper is higher at 43.2 years, compared to 37.3 years in West columbia.
- Helper has a higher median income of $59,323, compared to $52,648 in West columbia.
- In Helper, the percentage of married families is higher at 61.0%, compared to 32.0% in West columbia.
- The poverty level is higher in Helper at 11%, compared to 9% in West columbia.
- The unemployment rate in West columbia is higher at 3.7%, compared to 2.5% in Helper.
Demographics
Demographics West columbia vs Helper provide insight into the diversity of the communities to compare.
| Demographic | West columbia | Helper |
|---|---|---|
| Black | 18 | Data is updating |
| White | 59 | 85 |
| Asian | 3 | Data is updating |
| Hispanic | 11 | 10 |
| Two or More Races | 9 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: West columbia vs Helper
- A higher percentage of Black residents are in West columbia at 18% compared to 0% in Helper.
- The percentage of White residents is higher in Helper at 85% compared to 59% in West columbia.
- The Asian population is larger in West columbia at 3% compared to 0% in Helper.
- The Hispanic community is larger in West columbia at 11% compared to 10% in Helper.
- More residents identify as two or more races in West columbia at 9% compared to 5% in Helper.
- The percentage of American Indian residents is the same in both West columbia and Helper at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | West columbia | Helper |
|---|---|---|
| Mental Health Not Good | 18.8% | 17.1% |
| Physical Health Not Good | 12.6% | 11.4% |
| Depression | 23.3% | 25.3% |
| Smoking | 19.0% | 11.5% |
| Binge Drinking | 16.6% | 14.2% |
| Obesity | 40.2% | 36.9% |
| Disability Percentage | 15.0% | 26.0% |
Health Statistics Comparison: West columbia vs Helper
- More residents in West columbia report poor mental health at 18.8% compared to 17.1% in Helper.
- Higher depression rates are seen in Helper at 25.3% versus 23.3% in West columbia.
- Smoking is more prevalent in West columbia at 19.0% compared to 11.5% in Helper.
- Binge drinking is more common in West columbia at 16.6% compared to 14.2% in Helper.
- Obesity rates are higher in West columbia at 40.2% compared to 36.9% in Helper.
- There is a higher percentage of disabled individuals in Helper at 26.0% compared to 15.0% in West columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | West columbia | Helper |
|---|---|---|
| No Schooling | 0.4% (77) | 0.0% (Data is updating) |
| High School Diploma | 16.4% (2,891) | 23.4% (499) |
| Less than High School | 12.4% (2,185) | 8.7% (185) |
| Bachelor's Degree and Higher | 26.1% (4,593) | 18.7% (399) |
Education Levels Comparison: West columbia vs Helper
- A higher percentage of residents in West columbia have no formal schooling at 0.4% compared to 0.0% in Helper.
- In Helper, the rate of residents with high school diplomas is higher at 23.4% compared to 16.4% in West columbia.
- More residents in West columbia have less than a high school education at 12.4% compared to 8.7% in Helper.
- A higher percentage of residents in West columbia hold a bachelor's degree or higher at 26.1% compared to 18.7% in Helper.
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.