Demographics details for Somers, MT vs Wilmington, NC
Population Overview
Compare main population characteristics in Somers, MT vs Wilmington, NC.
Data | Somers | Wilmington |
---|---|---|
Population | 1,037 | 120,324 |
Median Age | 64.2 years | 37.6 years |
Median Income | $54,466 | $58,908 |
Married Families | 67.0% | 32.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Somers vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 1,037 in Somers.
- Residents in Somers have a higher median age of 64.2 years compared to 37.6 years in Wilmington.
- Wilmington has a higher median income of $58,908, compared to $54,466 in Somers.
- A higher percentage of married families is found in Somers at 67.0% compared to 32.0% in Wilmington.
- The poverty level is higher in Wilmington at 12%, compared to 9% in Somers.
- Wilmington has a higher unemployment rate at 3.7% compared to 3.5% in Somers.
Demographics
Demographics Somers vs Wilmington provide insight into the diversity of the communities to compare.
Demographic | Somers | Wilmington |
---|---|---|
Black | Data is updating | 16 |
White | 100 | 71 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 7 |
Two or More Races | Data is updating | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Somers vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 16% compared to 0% in Somers.
- Somers has a higher percentage of White residents at 100% compared to 71% in Wilmington.
- In Wilmington, the Asian population stands at 1%, greater than 0% in Somers.
- Wilmington has a higher percentage of Hispanic residents at 7%, compared to 0% in Somers.
- The percentage of residents identifying as two or more races is higher in Wilmington at 5%, compared to 0% in Somers.
- The percentage of American Indian residents is the same in both Somers and Wilmington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Somers | Wilmington |
---|---|---|
Mental Health Not Good | 15.2% | 16.9% |
Physical Health Not Good | 10.2% | 11.0% |
Depression | 22.0% | 25.0% |
Smoking | 15.0% | 16.5% |
Binge Drinking | 21.1% | 18.5% |
Obesity | 31.4% | 33.2% |
Disability Percentage | 61.0% | 12.0% |
Health Statistics Comparison: Somers vs Wilmington
- In Wilmington, a higher percentage report poor mental health at 16.9% compared to 15.2% in Somers.
- Higher depression rates are seen in Wilmington at 25.0% versus 22.0% in Somers.
- Wilmington has a higher smoking rate at 16.5% compared to 15.0% in Somers.
- Binge drinking is more common in Somers at 21.1% compared to 18.5% in Wilmington.
- Wilmington has higher obesity rates at 33.2% compared to 31.4% in Somers.
- Disability percentages are higher in Somers at 61.0% compared to 12.0% in Wilmington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Somers | Wilmington |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.5% (560) |
High School Diploma | 30.6% (317) | 10.5% (12,679) |
Less than High School | 46.3% (480) | 7.1% (8,513) |
Bachelor's Degree and Higher | 23.4% (243) | 28.5% (34,319) |
Education Levels Comparison: Somers vs Wilmington
- In Wilmington, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Somers.
- A higher percentage of residents in Somers hold a high school diploma at 30.6% compared to 10.5% in Wilmington.
- More residents in Somers have less than a high school education at 46.3% compared to 7.1% in Wilmington.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 23.4% in Somers.
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.