Demographics details for Helper, UT vs Boomer, NC
Population Overview
Compare main population characteristics in Helper, UT vs Boomer, NC.
Data | Helper | Boomer |
---|---|---|
Population | 2,131 | 1,213 |
Median Age | 43.2 years | 53.9 years |
Median Income | $59,323 | $50,367 |
Married Families | 61.0% | 44.0% |
Poverty Level | 11% | 12% |
Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Helper vs Boomer
- In Helper, the population is higher at 2,131, compared to 1,213 in Boomer.
- The median age in Boomer is higher at 53.9 years, compared to 43.2 years in Helper.
- Helper has a higher median income of $59,323 compared to $50,367 in Boomer.
- A higher percentage of married families is found in Helper at 61.0% compared to 44.0% in Boomer.
- The poverty level is higher in Boomer at 12%, compared to 11% in Helper.
- Boomer has a higher unemployment rate at 3.5% compared to 2.5% in Helper.
Demographics
Demographics Helper vs Boomer provide insight into the diversity of the communities to compare.
Demographic | Helper | Boomer |
---|---|---|
Black | Data is updating | 5 |
White | 85 | 91 |
Asian | Data is updating | Data is updating |
Hispanic | 10 | 2 |
Two or More Races | 5 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Helper vs Boomer
- In Boomer, the percentage of Black residents is higher at 5% compared to 0% in Helper.
- The percentage of White residents is higher in Boomer at 91% compared to 85% in Helper.
- Both Helper and Boomer have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Helper at 10% compared to 2% in Boomer.
- More residents identify as two or more races in Helper at 5% compared to 2% in Boomer.
- The percentage of American Indian residents is the same in both Helper and Boomer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Helper | Boomer |
---|---|---|
Mental Health Not Good | 17.1% | Data is updating% |
Physical Health Not Good | 11.4% | Data is updating% |
Depression | 25.3% | Data is updating% |
Smoking | 11.5% | Data is updating% |
Binge Drinking | 14.2% | Data is updating% |
Obesity | 36.9% | Data is updating% |
Disability Percentage | 26.0% | 18.0% |
Health Statistics Comparison: Helper vs Boomer
- More residents in Helper report poor mental health at 17.1% compared to 0.0% in Boomer.
- Depression is more prevalent in Helper at 25.3% compared to 0.0% in Boomer.
- Smoking is more prevalent in Helper at 11.5% compared to 0.0% in Boomer.
- Binge drinking is more common in Helper at 14.2% compared to 0.0% in Boomer.
- Obesity rates are higher in Helper at 36.9% compared to 0.0% in Boomer.
- Disability percentages are higher in Helper at 26.0% compared to 18.0% in Boomer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Helper | Boomer |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 23.4% (499) | 21.2% (257) |
Less than High School | 8.7% (185) | 25.9% (314) |
Bachelor's Degree and Higher | 18.7% (399) | 9.6% (116) |
Education Levels Comparison: Helper vs Boomer
- The percentage of residents with no formal schooling is the same in both Helper and Boomer at 0.0%.
- A higher percentage of residents in Helper hold a high school diploma at 23.4% compared to 21.2% in Boomer.
- The percentage of residents with less than a high school education is higher in Boomer at 25.9%, 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 9.6% in Boomer.
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.