Demographics details for Helper, UT vs Torrington, CT
Population Overview
Compare main population characteristics in Helper, UT vs Torrington, CT.
Data | Helper | Torrington |
---|---|---|
Population | 2,131 | 35,563 |
Median Age | 43.2 years | 40.8 years |
Median Income | $59,323 | $66,616 |
Married Families | 61.0% | 35.0% |
Poverty Level | 11% | 9% |
Unemployment Rate | 2.5 | 2.8 |
Population Comparison: Helper vs Torrington
- The population in Torrington is higher at 35,563, compared to 2,131 in Helper.
- Residents in Helper have a higher median age of 43.2 years compared to 40.8 years in Torrington.
- Torrington has a higher median income of $66,616, compared to $59,323 in Helper.
- A higher percentage of married families is found in Helper at 61.0% compared to 35.0% in Torrington.
- Helper has a higher poverty level at 11% compared to 9% in Torrington.
- Torrington has a higher unemployment rate at 2.8% compared to 2.5% in Helper.
Demographics
Demographics Helper vs Torrington provide insight into the diversity of the communities to compare.
Demographic | Helper | Torrington |
---|---|---|
Black | Data is updating | 10 |
White | 85 | 61 |
Asian | Data is updating | 3 |
Hispanic | 10 | 17 |
Two or More Races | 5 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Helper vs Torrington
- In Torrington, the percentage of Black residents is higher at 10% compared to 0% in Helper.
- Helper has a higher percentage of White residents at 85% compared to 61% in Torrington.
- In Torrington, the Asian population stands at 3%, greater than 0% in Helper.
- Torrington has a higher percentage of Hispanic residents at 17%, compared to 10% in Helper.
- The percentage of residents identifying as two or more races is higher in Torrington at 9%, compared to 5% in Helper.
- The percentage of American Indian residents is the same in both Helper and Torrington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Helper | Torrington |
---|---|---|
Mental Health Not Good | 17.1% | 16.2% |
Physical Health Not Good | 11.4% | 10.5% |
Depression | 25.3% | 23.3% |
Smoking | 11.5% | 16.0% |
Binge Drinking | 14.2% | 16.6% |
Obesity | 36.9% | 28.8% |
Disability Percentage | 26.0% | 15.0% |
Health Statistics Comparison: Helper vs Torrington
- More residents in Helper report poor mental health at 17.1% compared to 16.2% in Torrington.
- Depression is more prevalent in Helper at 25.3% compared to 23.3% in Torrington.
- Torrington has a higher smoking rate at 16.0% compared to 11.5% in Helper.
- More residents engage in binge drinking in Torrington at 16.6% compared to 14.2% in Helper.
- Obesity rates are higher in Helper at 36.9% compared to 28.8% in Torrington.
- Disability percentages are higher in Helper at 26.0% compared to 15.0% in Torrington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Helper | Torrington |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.2% (425) |
High School Diploma | 23.4% (499) | 22.6% (8,040) |
Less than High School | 8.7% (185) | 16.1% (5,736) |
Bachelor's Degree and Higher | 18.7% (399) | 17.7% (6,279) |
Education Levels Comparison: Helper vs Torrington
- In Torrington, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Helper.
- A higher percentage of residents in Helper hold a high school diploma at 23.4% compared to 22.6% in Torrington.
- The percentage of residents with less than a high school education is higher in Torrington at 16.1%, 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 17.7% in Torrington.
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.