Demographics details for Helper, UT vs Fall river mills, CA
Population Overview
Compare main population characteristics in Helper, UT vs Fall river mills, CA.
Data | Helper | Fall river mills |
---|---|---|
Population | 2,131 | 678 |
Median Age | 43.2 years | 27.7 years |
Median Income | $59,323 | $36,827 |
Married Families | 61.0% | 34.0% |
Poverty Level | 11% | 15% |
Unemployment Rate | 2.5 | 6.0 |
Population Comparison: Helper vs Fall river mills
- In Helper, the population is higher at 2,131, compared to 678 in Fall river mills.
- Residents in Helper have a higher median age of 43.2 years compared to 27.7 years in Fall river mills.
- Helper has a higher median income of $59,323 compared to $36,827 in Fall river mills.
- A higher percentage of married families is found in Helper at 61.0% compared to 34.0% in Fall river mills.
- The poverty level is higher in Fall river mills at 15%, compared to 11% in Helper.
- Fall river mills has a higher unemployment rate at 6.0% compared to 2.5% in Helper.
Demographics
Demographics Helper vs Fall river mills provide insight into the diversity of the communities to compare.
Demographic | Helper | Fall river mills |
---|---|---|
Black | Data is updating | 1 |
White | 85 | 36 |
Asian | Data is updating | Data is updating |
Hispanic | 10 | 25 |
Two or More Races | 5 | 27 |
American Indian | Data is updating | 11 |
Demographics Comparison: Helper vs Fall river mills
- In Fall river mills, the percentage of Black residents is higher at 1% compared to 0% in Helper.
- Helper has a higher percentage of White residents at 85% compared to 36% in Fall river mills.
- Both Helper and Fall river mills have the same percentage of Asian residents at 0%.
- Fall river mills has a higher percentage of Hispanic residents at 25%, compared to 10% in Helper.
- The percentage of residents identifying as two or more races is higher in Fall river mills at 27%, compared to 5% in Helper.
- In Fall river mills, the percentage of American Indian residents is higher at 11%, compared to 0% in Helper.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Helper | Fall river mills |
---|---|---|
Mental Health Not Good | 17.1% | 17.9% |
Physical Health Not Good | 11.4% | 11.7% |
Depression | 25.3% | 21.7% |
Smoking | 11.5% | 14.7% |
Binge Drinking | 14.2% | 18.0% |
Obesity | 36.9% | 31.3% |
Disability Percentage | 26.0% | 12.0% |
Health Statistics Comparison: Helper vs Fall river mills
- In Fall river mills, a higher percentage report poor mental health at 17.9% compared to 17.1% in Helper.
- Depression is more prevalent in Helper at 25.3% compared to 21.7% in Fall river mills.
- Fall river mills has a higher smoking rate at 14.7% compared to 11.5% in Helper.
- More residents engage in binge drinking in Fall river mills at 18.0% compared to 14.2% in Helper.
- Obesity rates are higher in Helper at 36.9% compared to 31.3% in Fall river mills.
- Disability percentages are higher in Helper at 26.0% compared to 12.0% in Fall river mills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Helper | Fall river mills |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 23.4% (499) | 13.4% (91) |
Less than High School | 8.7% (185) | 9.7% (66) |
Bachelor's Degree and Higher | 18.7% (399) | 4.9% (33) |
Education Levels Comparison: Helper vs Fall river mills
- The percentage of residents with no formal schooling is the same in both Helper and Fall river mills at 0.0%.
- A higher percentage of residents in Helper hold a high school diploma at 23.4% compared to 13.4% in Fall river mills.
- The percentage of residents with less than a high school education is higher in Fall river mills at 9.7%, 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 4.9% in Fall river mills.
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.