Demographics details for Helper, UT vs Columbus, MS
Population Overview
Compare main population characteristics in Helper, UT vs Columbus, MS.
| Data | Helper | Columbus |
|---|---|---|
| Population | 2,131 | 23,273 |
| Median Age | 43.2 years | 38.5 years |
| Median Income | $59,323 | $38,954 |
| Married Families | 61.0% | 25.0% |
| Poverty Level | 11% | 19% |
| Unemployment Rate | 2.5 | 3.8 |
Population Comparison: Helper vs Columbus
- The population in Columbus is higher at 23,273, compared to 2,131 in Helper.
- Residents in Helper have a higher median age of 43.2 years compared to 38.5 years in Columbus.
- Helper has a higher median income of $59,323 compared to $38,954 in Columbus.
- A higher percentage of married families is found in Helper at 61.0% compared to 25.0% in Columbus.
- The poverty level is higher in Columbus at 19%, compared to 11% in Helper.
- Columbus has a higher unemployment rate at 3.8% compared to 2.5% in Helper.
Demographics
Demographics Helper vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Helper | Columbus |
|---|---|---|
| Black | Data is updating | 66 |
| White | 85 | 28 |
| Asian | Data is updating | 2 |
| Hispanic | 10 | 2 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Helper vs Columbus
- In Columbus, the percentage of Black residents is higher at 66% compared to 0% in Helper.
- Helper has a higher percentage of White residents at 85% compared to 28% in Columbus.
- In Columbus, the Asian population stands at 2%, greater than 0% in Helper.
- The Hispanic community is larger in Helper at 10% compared to 2% in Columbus.
- More residents identify as two or more races in Helper at 5% compared to 2% in Columbus.
- The percentage of American Indian residents is the same in both Helper and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Helper | Columbus |
|---|---|---|
| Mental Health Not Good | 17.1% | 17.4% |
| Physical Health Not Good | 11.4% | 13.6% |
| Depression | 25.3% | 20.0% |
| Smoking | 11.5% | 21.0% |
| Binge Drinking | 14.2% | 11.8% |
| Obesity | 36.9% | 44.8% |
| Disability Percentage | 26.0% | 12.0% |
Health Statistics Comparison: Helper vs Columbus
- In Columbus, a higher percentage report poor mental health at 17.4% compared to 17.1% in Helper.
- Depression is more prevalent in Helper at 25.3% compared to 20.0% in Columbus.
- Columbus has a higher smoking rate at 21.0% compared to 11.5% in Helper.
- Binge drinking is more common in Helper at 14.2% compared to 11.8% in Columbus.
- Columbus has higher obesity rates at 44.8% compared to 36.9% in Helper.
- Disability percentages are higher in Helper at 26.0% compared to 12.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Helper | Columbus |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.1% (260) |
| High School Diploma | 23.4% (499) | 18.4% (4,272) |
| Less than High School | 8.7% (185) | 11.0% (2,559) |
| Bachelor's Degree and Higher | 18.7% (399) | 17.1% (3,971) |
Education Levels Comparison: Helper vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Helper.
- A higher percentage of residents in Helper hold a high school diploma at 23.4% compared to 18.4% in Columbus.
- The percentage of residents with less than a high school education is higher in Columbus at 11.0%, 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 17.1% 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.