Demographics details for Anaconda, MT vs De soto, IL
Population Overview
Compare main population characteristics in Anaconda, MT vs De soto, IL.
| Data | Anaconda | De soto |
|---|---|---|
| Population | 9,510 | 1,396 |
| Median Age | 49.6 years | 35.9 years |
| Median Income | $46,436 | $53,188 |
| Married Families | 38.0% | 35.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 3.0 | 5.2 |
Population Comparison: Anaconda vs De soto
- In Anaconda, the population is higher at 9,510, compared to 1,396 in De soto.
- Residents in Anaconda have a higher median age of 49.6 years compared to 35.9 years in De soto.
- De soto has a higher median income of $53,188, compared to $46,436 in Anaconda.
- A higher percentage of married families is found in Anaconda at 38.0% compared to 35.0% in De soto.
- The poverty level is higher in De soto at 12%, compared to 11% in Anaconda.
- De soto has a higher unemployment rate at 5.2% compared to 3.0% in Anaconda.
Demographics
Demographics Anaconda vs De soto provide insight into the diversity of the communities to compare.
| Demographic | Anaconda | De soto |
|---|---|---|
| Black | 1 | 1 |
| White | 87 | 86 |
| Asian | Data is updating | 1 |
| Hispanic | 4 | 4 |
| Two or More Races | 6 | 8 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Anaconda vs De soto
- The percentage of Black residents is the same in both Anaconda and De soto at 1%.
- Anaconda has a higher percentage of White residents at 87% compared to 86% in De soto.
- In De soto, the Asian population stands at 1%, greater than 0% in Anaconda.
- The percentage of Hispanic residents is the same in both Anaconda and De soto at 4%.
- The percentage of residents identifying as two or more races is higher in De soto at 8%, compared to 6% in Anaconda.
- A greater percentage of American Indian residents live in Anaconda at 2% compared to 0% in De soto.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Anaconda | De soto |
|---|---|---|
| Mental Health Not Good | 17.4% | 18.4% |
| Physical Health Not Good | 12.7% | 12.9% |
| Depression | 24.1% | 24.7% |
| Smoking | 21.1% | 20.5% |
| Binge Drinking | 21.8% | 17.7% |
| Obesity | 36.3% | 35.7% |
| Disability Percentage | 23.0% | 33.0% |
Health Statistics Comparison: Anaconda vs De soto
- In De soto, a higher percentage report poor mental health at 18.4% compared to 17.4% in Anaconda.
- Higher depression rates are seen in De soto at 24.7% versus 24.1% in Anaconda.
- Smoking is more prevalent in Anaconda at 21.1% compared to 20.5% in De soto.
- Binge drinking is more common in Anaconda at 21.8% compared to 17.7% in De soto.
- Obesity rates are higher in Anaconda at 36.3% compared to 35.7% in De soto.
- There is a higher percentage of disabled individuals in De soto at 33.0% compared to 23.0% in Anaconda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Anaconda | De soto |
|---|---|---|
| No Schooling | 1.6% (153) | 0.6% (9) |
| High School Diploma | 25.3% (2,409) | 19.2% (268) |
| Less than High School | 14.6% (1,384) | 17.8% (249) |
| Bachelor's Degree and Higher | 15.7% (1,494) | 17.0% (237) |
Education Levels Comparison: Anaconda vs De soto
- A higher percentage of residents in Anaconda have no formal schooling at 1.6% compared to 0.6% in De soto.
- A higher percentage of residents in Anaconda hold a high school diploma at 25.3% compared to 19.2% in De soto.
- The percentage of residents with less than a high school education is higher in De soto at 17.8%, compared to 14.6% in Anaconda.
- In De soto, a larger share of residents have a bachelor's degree or higher at 17.0% compared to 15.7% in Anaconda.
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.