Demographics details for Helper, UT vs Dixon, CA
Population Overview
Compare main population characteristics in Helper, UT vs Dixon, CA.
| Data | Helper | Dixon |
|---|---|---|
| Population | 2,131 | 19,143 |
| Median Age | 43.2 years | 33.5 years |
| Median Income | $59,323 | $92,138 |
| Married Families | 61.0% | 38.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 2.5 | 5.2 |
Population Comparison: Helper vs Dixon
- The population in Dixon is higher at 19,143, compared to 2,131 in Helper.
- Residents in Helper have a higher median age of 43.2 years compared to 33.5 years in Dixon.
- Dixon has a higher median income of $92,138, compared to $59,323 in Helper.
- A higher percentage of married families is found in Helper at 61.0% compared to 38.0% in Dixon.
- Helper has a higher poverty level at 11% compared to 10% in Dixon.
- Dixon has a higher unemployment rate at 5.2% compared to 2.5% in Helper.
Demographics
Demographics Helper vs Dixon provide insight into the diversity of the communities to compare.
| Demographic | Helper | Dixon |
|---|---|---|
| Black | Data is updating | 2 |
| White | 85 | 40 |
| Asian | Data is updating | 3 |
| Hispanic | 10 | 41 |
| Two or More Races | 5 | 14 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Helper vs Dixon
- In Dixon, the percentage of Black residents is higher at 2% compared to 0% in Helper.
- Helper has a higher percentage of White residents at 85% compared to 40% in Dixon.
- In Dixon, the Asian population stands at 3%, greater than 0% in Helper.
- Dixon has a higher percentage of Hispanic residents at 41%, compared to 10% in Helper.
- The percentage of residents identifying as two or more races is higher in Dixon at 14%, compared to 5% in Helper.
- The percentage of American Indian residents is the same in both Helper and Dixon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Helper | Dixon |
|---|---|---|
| Mental Health Not Good | 17.1% | 16.7% |
| Physical Health Not Good | 11.4% | 11.7% |
| Depression | 25.3% | 19.8% |
| Smoking | 11.5% | 12.9% |
| Binge Drinking | 14.2% | 17.2% |
| Obesity | 36.9% | 31.6% |
| Disability Percentage | 26.0% | 11.0% |
Health Statistics Comparison: Helper vs Dixon
- More residents in Helper report poor mental health at 17.1% compared to 16.7% in Dixon.
- Depression is more prevalent in Helper at 25.3% compared to 19.8% in Dixon.
- Dixon has a higher smoking rate at 12.9% compared to 11.5% in Helper.
- More residents engage in binge drinking in Dixon at 17.2% compared to 14.2% in Helper.
- Obesity rates are higher in Helper at 36.9% compared to 31.6% in Dixon.
- Disability percentages are higher in Helper at 26.0% compared to 11.0% in Dixon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Helper | Dixon |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.0% (380) |
| High School Diploma | 23.4% (499) | 15.7% (3,013) |
| Less than High School | 8.7% (185) | 18.1% (3,473) |
| Bachelor's Degree and Higher | 18.7% (399) | 14.1% (2,695) |
Education Levels Comparison: Helper vs Dixon
- In Dixon, a larger percentage of residents lack formal schooling at 2.0% compared to 0.0% in Helper.
- A higher percentage of residents in Helper hold a high school diploma at 23.4% compared to 15.7% in Dixon.
- The percentage of residents with less than a high school education is higher in Dixon at 18.1%, 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 14.1% in Dixon.
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.