Demographics details for Helper, UT vs Little falls, MN
Population Overview
Compare main population characteristics in Helper, UT vs Little falls, MN.
| Data | Helper | Little falls |
|---|---|---|
| Population | 2,131 | 9,094 |
| Median Age | 43.2 years | 40.8 years |
| Median Income | $59,323 | $44,455 |
| Married Families | 61.0% | 34.0% |
| Poverty Level | 11% | 11% |
| Unemployment Rate | 2.5 | 4.2 |
Population Comparison: Helper vs Little falls
- The population in Little falls is higher at 9,094, compared to 2,131 in Helper.
- Residents in Helper have a higher median age of 43.2 years compared to 40.8 years in Little falls.
- Helper has a higher median income of $59,323 compared to $44,455 in Little falls.
- A higher percentage of married families is found in Helper at 61.0% compared to 34.0% in Little falls.
- The poverty level is identical in both Helper and Little falls at 11%.
- Little falls has a higher unemployment rate at 4.2% compared to 2.5% in Helper.
Demographics
Demographics Helper vs Little falls provide insight into the diversity of the communities to compare.
| Demographic | Helper | Little falls |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 85 | 95 |
| Asian | Data is updating | 1 |
| Hispanic | 10 | 1 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Helper vs Little falls
- The percentage of Black residents is the same in both Helper and Little falls at 0%.
- The percentage of White residents is higher in Little falls at 95% compared to 85% in Helper.
- In Little falls, the Asian population stands at 1%, greater than 0% in Helper.
- The Hispanic community is larger in Helper at 10% compared to 1% in Little falls.
- More residents identify as two or more races in Helper at 5% compared to 3% in Little falls.
- The percentage of American Indian residents is the same in both Helper and Little falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Helper | Little falls |
|---|---|---|
| Mental Health Not Good | 17.1% | 16.6% |
| Physical Health Not Good | 11.4% | 10.9% |
| Depression | 25.3% | 25.0% |
| Smoking | 11.5% | 22.3% |
| Binge Drinking | 14.2% | 20.6% |
| Obesity | 36.9% | 38.5% |
| Disability Percentage | 26.0% | 17.0% |
Health Statistics Comparison: Helper vs Little falls
- More residents in Helper report poor mental health at 17.1% compared to 16.6% in Little falls.
- Depression is more prevalent in Helper at 25.3% compared to 25.0% in Little falls.
- Little falls has a higher smoking rate at 22.3% compared to 11.5% in Helper.
- More residents engage in binge drinking in Little falls at 20.6% compared to 14.2% in Helper.
- Little falls has higher obesity rates at 38.5% compared to 36.9% in Helper.
- Disability percentages are higher in Helper at 26.0% compared to 17.0% in Little falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Helper | Little falls |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (63) |
| High School Diploma | 23.4% (499) | 25.4% (2,308) |
| Less than High School | 8.7% (185) | 11.7% (1,063) |
| Bachelor's Degree and Higher | 18.7% (399) | 14.3% (1,301) |
Education Levels Comparison: Helper vs Little falls
- In Little falls, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Helper.
- In Little falls, the rate of residents with high school diplomas is higher at 25.4% compared to 23.4% in Helper.
- The percentage of residents with less than a high school education is higher in Little falls at 11.7%, 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 14.3% in Little falls.
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.