Demographics details for Helper, UT vs Beckley, WV
Population Overview
Compare main population characteristics in Helper, UT vs Beckley, WV.
| Data | Helper | Beckley |
|---|---|---|
| Population | 2,131 | 16,749 |
| Median Age | 43.2 years | 40.7 years |
| Median Income | $59,323 | $41,277 |
| Married Families | 61.0% | 32.0% |
| Poverty Level | 11% | 18% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Helper vs Beckley
- The population in Beckley is higher at 16,749, compared to 2,131 in Helper.
- Residents in Helper have a higher median age of 43.2 years compared to 40.7 years in Beckley.
- Helper has a higher median income of $59,323 compared to $41,277 in Beckley.
- A higher percentage of married families is found in Helper at 61.0% compared to 32.0% in Beckley.
- The poverty level is higher in Beckley at 18%, compared to 11% in Helper.
- Beckley has a higher unemployment rate at 3.5% compared to 2.5% in Helper.
Demographics
Demographics Helper vs Beckley provide insight into the diversity of the communities to compare.
| Demographic | Helper | Beckley |
|---|---|---|
| Black | Data is updating | 18 |
| White | 85 | 71 |
| Asian | Data is updating | 2 |
| Hispanic | 10 | 2 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Helper vs Beckley
- In Beckley, the percentage of Black residents is higher at 18% compared to 0% in Helper.
- Helper has a higher percentage of White residents at 85% compared to 71% in Beckley.
- In Beckley, the Asian population stands at 2%, greater than 0% in Helper.
- The Hispanic community is larger in Helper at 10% compared to 2% in Beckley.
- The percentage of residents identifying as two or more races is higher in Beckley at 7%, compared to 5% in Helper.
- The percentage of American Indian residents is the same in both Helper and Beckley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Helper | Beckley |
|---|---|---|
| Mental Health Not Good | 17.1% | 21.5% |
| Physical Health Not Good | 11.4% | 15.9% |
| Depression | 25.3% | 27.5% |
| Smoking | 11.5% | 24.2% |
| Binge Drinking | 14.2% | 11.9% |
| Obesity | 36.9% | 41.4% |
| Disability Percentage | 26.0% | 26.0% |
Health Statistics Comparison: Helper vs Beckley
- In Beckley, a higher percentage report poor mental health at 21.5% compared to 17.1% in Helper.
- Higher depression rates are seen in Beckley at 27.5% versus 25.3% in Helper.
- Beckley has a higher smoking rate at 24.2% compared to 11.5% in Helper.
- Binge drinking is more common in Helper at 14.2% compared to 11.9% in Beckley.
- Beckley has higher obesity rates at 41.4% compared to 36.9% in Helper.
- Disability percentages are the same in both Helper and Beckley at 26.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Helper | Beckley |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (166) |
| High School Diploma | 23.4% (499) | 19.1% (3,193) |
| Less than High School | 8.7% (185) | 13.5% (2,268) |
| Bachelor's Degree and Higher | 18.7% (399) | 16.4% (2,745) |
Education Levels Comparison: Helper vs Beckley
- In Beckley, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Helper.
- A higher percentage of residents in Helper hold a high school diploma at 23.4% compared to 19.1% in Beckley.
- The percentage of residents with less than a high school education is higher in Beckley at 13.5%, compared to 8.7% in Helper.
- A higher percentage of residents in Helper hold a bachelor's degree or higher at 18.7% compared to 16.4% in Beckley.
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.