Demographics details for Sand coulee, MT vs Bangor, ME
Population Overview
Compare main population characteristics in Sand coulee, MT vs Bangor, ME.
| Data | Sand coulee | Bangor |
|---|---|---|
| Population | 223 | 31,588 |
| Median Age | 43.9 years | 40.6 years |
| Median Income | $74,091 | $52,438 |
| Married Families | 54.0% | 31.0% |
| Poverty Level | 7% | 13% |
| Unemployment Rate | 2.5 | 2.8 |
Population Comparison: Sand coulee vs Bangor
- The population in Bangor is higher at 31,588, compared to 223 in Sand coulee.
- Residents in Sand coulee have a higher median age of 43.9 years compared to 40.6 years in Bangor.
- Sand coulee has a higher median income of $74,091 compared to $52,438 in Bangor.
- A higher percentage of married families is found in Sand coulee at 54.0% compared to 31.0% in Bangor.
- The poverty level is higher in Bangor at 13%, compared to 7% in Sand coulee.
- Bangor has a higher unemployment rate at 2.8% compared to 2.5% in Sand coulee.
Demographics
Demographics Sand coulee vs Bangor provide insight into the diversity of the communities to compare.
| Demographic | Sand coulee | Bangor |
|---|---|---|
| Black | Data is updating | 3 |
| White | 83 | 87 |
| Asian | 1 | 2 |
| Hispanic | 8 | 3 |
| Two or More Races | 8 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Sand coulee vs Bangor
- In Bangor, the percentage of Black residents is higher at 3% compared to 0% in Sand coulee.
- The percentage of White residents is higher in Bangor at 87% compared to 83% in Sand coulee.
- In Bangor, the Asian population stands at 2%, greater than 1% in Sand coulee.
- The Hispanic community is larger in Sand coulee at 8% compared to 3% in Bangor.
- More residents identify as two or more races in Sand coulee at 8% compared to 4% in Bangor.
- In Bangor, the percentage of American Indian residents is higher at 1%, compared to 0% in Sand coulee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sand coulee | Bangor |
|---|---|---|
| Mental Health Not Good | 16.3% | 17.5% |
| Physical Health Not Good | 10.8% | 11.3% |
| Depression | 24.3% | 26.1% |
| Smoking | 17.5% | 19.0% |
| Binge Drinking | 22.4% | 15.8% |
| Obesity | 34.6% | 36.7% |
| Disability Percentage | 9.0% | 21.0% |
Health Statistics Comparison: Sand coulee vs Bangor
- In Bangor, a higher percentage report poor mental health at 17.5% compared to 16.3% in Sand coulee.
- Higher depression rates are seen in Bangor at 26.1% versus 24.3% in Sand coulee.
- Bangor has a higher smoking rate at 19.0% compared to 17.5% in Sand coulee.
- Binge drinking is more common in Sand coulee at 22.4% compared to 15.8% in Bangor.
- Bangor has higher obesity rates at 36.7% compared to 34.6% in Sand coulee.
- There is a higher percentage of disabled individuals in Bangor at 21.0% compared to 9.0% in Sand coulee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sand coulee | Bangor |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (110) |
| High School Diploma | 22.0% (49) | 17.1% (5,403) |
| Less than High School | 16.1% (36) | 6.8% (2,141) |
| Bachelor's Degree and Higher | 22.9% (51) | 26.5% (8,367) |
Education Levels Comparison: Sand coulee vs Bangor
- In Bangor, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Sand coulee.
- A higher percentage of residents in Sand coulee hold a high school diploma at 22.0% compared to 17.1% in Bangor.
- More residents in Sand coulee have less than a high school education at 16.1% compared to 6.8% in Bangor.
- In Bangor, a larger share of residents have a bachelor's degree or higher at 26.5% compared to 22.9% in Sand coulee.
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.