Demographics details for Forest, MS vs Somers, MT
Population Overview
Compare main population characteristics in Forest, MS vs Somers, MT.
| Data | Forest | Somers |
|---|---|---|
| Population | 5,330 | 1,037 |
| Median Age | 36.4 years | 64.2 years |
| Median Income | $50,093 | $54,466 |
| Married Families | 35.0% | 67.0% |
| Poverty Level | 18% | 9% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Forest vs Somers
- In Forest, the population is higher at 5,330, compared to 1,037 in Somers.
- The median age in Somers is higher at 64.2 years, compared to 36.4 years in Forest.
- Somers has a higher median income of $54,466, compared to $50,093 in Forest.
- In Somers, the percentage of married families is higher at 67.0%, compared to 35.0% in Forest.
- Forest has a higher poverty level at 18% compared to 9% in Somers.
- The unemployment rate in Forest is higher at 4.5%, compared to 3.5% in Somers.
Demographics
Demographics Forest vs Somers provide insight into the diversity of the communities to compare.
| Demographic | Forest | Somers |
|---|---|---|
| Black | 43 | Data is updating |
| White | 24 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 30 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest vs Somers
- A higher percentage of Black residents are in Forest at 43% compared to 0% in Somers.
- The percentage of White residents is higher in Somers at 100% compared to 24% in Forest.
- Both Forest and Somers have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Forest at 30% compared to 0% in Somers.
- More residents identify as two or more races in Forest at 3% compared to 0% in Somers.
- The percentage of American Indian residents is the same in both Forest and Somers at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest | Somers |
|---|---|---|
| Mental Health Not Good | 18.9% | 15.2% |
| Physical Health Not Good | 16.8% | 10.2% |
| Depression | 21.2% | 22.0% |
| Smoking | 26.1% | 15.0% |
| Binge Drinking | 11.8% | 21.1% |
| Obesity | 45.7% | 31.4% |
| Disability Percentage | 20.0% | 61.0% |
Health Statistics Comparison: Forest vs Somers
- More residents in Forest report poor mental health at 18.9% compared to 15.2% in Somers.
- Higher depression rates are seen in Somers at 22.0% versus 21.2% in Forest.
- Smoking is more prevalent in Forest at 26.1% compared to 15.0% in Somers.
- More residents engage in binge drinking in Somers at 21.1% compared to 11.8% in Forest.
- Obesity rates are higher in Forest at 45.7% compared to 31.4% in Somers.
- There is a higher percentage of disabled individuals in Somers at 61.0% compared to 20.0% in Forest.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Forest | Somers |
|---|---|---|
| No Schooling | 4.4% (232) | 0.0% (Data is updating) |
| High School Diploma | 10.5% (557) | 30.6% (317) |
| Less than High School | 33.4% (1,779) | 46.3% (480) |
| Bachelor's Degree and Higher | 8.5% (455) | 23.4% (243) |
Education Levels Comparison: Forest vs Somers
- A higher percentage of residents in Forest have no formal schooling at 4.4% compared to 0.0% in Somers.
- In Somers, the rate of residents with high school diplomas is higher at 30.6% compared to 10.5% in Forest.
- The percentage of residents with less than a high school education is higher in Somers at 46.3%, compared to 33.4% in Forest.
- In Somers, a larger share of residents have a bachelor's degree or higher at 23.4% compared to 8.5% in Forest.
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.