Demographics details for Sabin, MN vs Shoshoni, WY
Population Overview
Compare main population characteristics in Sabin, MN vs Shoshoni, WY.
| Data | Sabin | Shoshoni |
|---|---|---|
| Population | 610 | 491 |
| Median Age | 33.3 years | 40.4 years |
| Median Income | $118,750 | $39,485 |
| Married Families | 50.0% | 39.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 2.5 | 5.0 |
Population Comparison: Sabin vs Shoshoni
- In Sabin, the population is higher at 610, compared to 491 in Shoshoni.
- The median age in Shoshoni is higher at 40.4 years, compared to 33.3 years in Sabin.
- Sabin has a higher median income of $118,750 compared to $39,485 in Shoshoni.
- A higher percentage of married families is found in Sabin at 50.0% compared to 39.0% in Shoshoni.
- The poverty level is higher in Shoshoni at 10%, compared to 0% in Sabin.
- Shoshoni has a higher unemployment rate at 5.0% compared to 2.5% in Sabin.
Demographics
Demographics Sabin vs Shoshoni provide insight into the diversity of the communities to compare.
| Demographic | Sabin | Shoshoni |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 82 | 86 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 4 |
| Two or More Races | 8 | 3 |
| American Indian | 6 | 7 |
Demographics Comparison: Sabin vs Shoshoni
- The percentage of Black residents is the same in both Sabin and Shoshoni at 0%.
- The percentage of White residents is higher in Shoshoni at 86% compared to 82% in Sabin.
- The Asian population is larger in Sabin at 1% compared to 0% in Shoshoni.
- Shoshoni has a higher percentage of Hispanic residents at 4%, compared to 3% in Sabin.
- More residents identify as two or more races in Sabin at 8% compared to 3% in Shoshoni.
- In Shoshoni, the percentage of American Indian residents is higher at 7%, compared to 6% in Sabin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sabin | Shoshoni |
|---|---|---|
| Mental Health Not Good | 14.2% | 15.1% |
| Physical Health Not Good | 8.4% | 10.1% |
| Depression | 25.3% | 20.0% |
| Smoking | 15.3% | 16.3% |
| Binge Drinking | 20.6% | 18.2% |
| Obesity | 33.7% | 30.4% |
| Disability Percentage | 5.0% | 26.0% |
Health Statistics Comparison: Sabin vs Shoshoni
- In Shoshoni, a higher percentage report poor mental health at 15.1% compared to 14.2% in Sabin.
- Depression is more prevalent in Sabin at 25.3% compared to 20.0% in Shoshoni.
- Shoshoni has a higher smoking rate at 16.3% compared to 15.3% in Sabin.
- Binge drinking is more common in Sabin at 20.6% compared to 18.2% in Shoshoni.
- Obesity rates are higher in Sabin at 33.7% compared to 30.4% in Shoshoni.
- There is a higher percentage of disabled individuals in Shoshoni at 26.0% compared to 5.0% in Sabin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sabin | Shoshoni |
|---|---|---|
| No Schooling | 0.2% (1) | 0.0% (Data is updating) |
| High School Diploma | 14.1% (86) | 38.9% (191) |
| Less than High School | 3.6% (22) | 20.4% (100) |
| Bachelor's Degree and Higher | 17.9% (109) | 5.7% (28) |
Education Levels Comparison: Sabin vs Shoshoni
- A higher percentage of residents in Sabin have no formal schooling at 0.2% compared to 0.0% in Shoshoni.
- In Shoshoni, the rate of residents with high school diplomas is higher at 38.9% compared to 14.1% in Sabin.
- The percentage of residents with less than a high school education is higher in Shoshoni at 20.4%, compared to 3.6% in Sabin.
- A higher percentage of residents in Sabin hold a bachelor's degree or higher at 17.9% compared to 5.7% in Shoshoni.
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.