Demographics details for Helena, MT vs Tucson, AZ
Population Overview
Compare main population characteristics in Helena, MT vs Tucson, AZ.
| Data | Helena | Tucson |
|---|---|---|
| Population | 33,885 | 546,574 |
| Median Age | 39.9 years | 33.9 years |
| Median Income | $64,798 | $52,049 |
| Married Families | 34.0% | 30.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 3.0 | 4.1 |
Population Comparison: Helena vs Tucson
- The population in Tucson is higher at 546,574, compared to 33,885 in Helena.
- Residents in Helena have a higher median age of 39.9 years compared to 33.9 years in Tucson.
- Helena has a higher median income of $64,798 compared to $52,049 in Tucson.
- A higher percentage of married families is found in Helena at 34.0% compared to 30.0% in Tucson.
- The poverty level is higher in Tucson at 13%, compared to 10% in Helena.
- Tucson has a higher unemployment rate at 4.1% compared to 3.0% in Helena.
Demographics
Demographics Helena vs Tucson provide insight into the diversity of the communities to compare.
| Demographic | Helena | Tucson |
|---|---|---|
| Black | 1 | 5 |
| White | 88 | 29 |
| Asian | 1 | 3 |
| Hispanic | 5 | 44 |
| Two or More Races | 4 | 16 |
| American Indian | 1 | 3 |
Demographics Comparison: Helena vs Tucson
- In Tucson, the percentage of Black residents is higher at 5% compared to 1% in Helena.
- Helena has a higher percentage of White residents at 88% compared to 29% in Tucson.
- In Tucson, the Asian population stands at 3%, greater than 1% in Helena.
- Tucson has a higher percentage of Hispanic residents at 44%, compared to 5% in Helena.
- The percentage of residents identifying as two or more races is higher in Tucson at 16%, compared to 4% in Helena.
- In Tucson, the percentage of American Indian residents is higher at 3%, compared to 1% in Helena.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Helena | Tucson |
|---|---|---|
| Mental Health Not Good | 14.8% | 18.6% |
| Physical Health Not Good | 9.6% | 13.1% |
| Depression | 23.5% | 23.6% |
| Smoking | 13.1% | 17.8% |
| Binge Drinking | 21.9% | 16.5% |
| Obesity | 30.4% | 34.9% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Helena vs Tucson
- In Tucson, a higher percentage report poor mental health at 18.6% compared to 14.8% in Helena.
- Higher depression rates are seen in Tucson at 23.6% versus 23.5% in Helena.
- Tucson has a higher smoking rate at 17.8% compared to 13.1% in Helena.
- Binge drinking is more common in Helena at 21.9% compared to 16.5% in Tucson.
- Tucson has higher obesity rates at 34.9% compared to 30.4% in Helena.
- There is a higher percentage of disabled individuals in Tucson at 14.0% compared to 12.0% in Helena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Helena | Tucson |
|---|---|---|
| No Schooling | 0.1% (38) | 1.1% (5,757) |
| High School Diploma | 10.0% (3,385) | 11.4% (62,581) |
| Less than High School | 4.7% (1,597) | 16.0% (87,637) |
| Bachelor's Degree and Higher | 34.3% (11,632) | 18.6% (101,769) |
Education Levels Comparison: Helena vs Tucson
- In Tucson, a larger percentage of residents lack formal schooling at 1.1% compared to 0.1% in Helena.
- In Tucson, the rate of residents with high school diplomas is higher at 11.4% compared to 10.0% in Helena.
- The percentage of residents with less than a high school education is higher in Tucson at 16.0%, compared to 4.7% in Helena.
- A higher percentage of residents in Helena hold a bachelor's degree or higher at 34.3% compared to 18.6% in Tucson.
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.