Demographics details for Glen arm, MD vs Chester, MT
Population Overview
Compare main population characteristics in Glen arm, MD vs Chester, MT.
| Data | Glen arm | Chester |
|---|---|---|
| Population | 1,952 | 852 |
| Median Age | 42.0 years | 49.1 years |
| Median Income | $114,000 | $52,750 |
| Married Families | 500.0% | 33.0% |
| Poverty Level | 2% | 13% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Glen arm vs Chester
- In Glen arm, the population is higher at 1,952, compared to 852 in Chester.
- The median age in Chester is higher at 49.1 years, compared to 42.0 years in Glen arm.
- Glen arm has a higher median income of $114,000 compared to $52,750 in Chester.
- A higher percentage of married families is found in Glen arm at 500.0% compared to 33.0% in Chester.
- The poverty level is higher in Chester at 13%, compared to 2% in Glen arm.
- The unemployment rate is the same in both Glen arm and Chester at 3.5%.
Demographics
Demographics Glen arm vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Glen arm | Chester |
|---|---|---|
| Black | 10 | Data is updating |
| White | 80 | 94 |
| Asian | 5 | Data is updating |
| Hispanic | 3 | 1 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Glen arm vs Chester
- A higher percentage of Black residents are in Glen arm at 10% compared to 0% in Chester.
- The percentage of White residents is higher in Chester at 94% compared to 80% in Glen arm.
- The Asian population is larger in Glen arm at 5% compared to 0% in Chester.
- The Hispanic community is larger in Glen arm at 3% compared to 1% in Chester.
- The percentage of residents identifying as two or more races is higher in Chester at 4%, compared to 2% in Glen arm.
- In Chester, the percentage of American Indian residents is higher at 1%, compared to 0% in Glen arm.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Glen arm | Chester |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.3% |
| Physical Health Not Good | Data is updating% | 13.8% |
| Depression | Data is updating% | 26.6% |
| Smoking | Data is updating% | 23.1% |
| Binge Drinking | Data is updating% | 20.7% |
| Obesity | Data is updating% | 37.3% |
| Disability Percentage | Data is updating% | 21.0% |
Health Statistics Comparison: Glen arm vs Chester
- In Chester, a higher percentage report poor mental health at 19.3% compared to 0.0% in Glen arm.
- Higher depression rates are seen in Chester at 26.6% versus 0.0% in Glen arm.
- Chester has a higher smoking rate at 23.1% compared to 0.0% in Glen arm.
- More residents engage in binge drinking in Chester at 20.7% compared to 0.0% in Glen arm.
- Chester has higher obesity rates at 37.3% compared to 0.0% in Glen arm.
- There is a higher percentage of disabled individuals in Chester at 21.0% compared to 0.0% in Glen arm.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Glen arm | Chester |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.2% (2) |
| High School Diploma | 0.0% (Data is updating) | 16.1% (137) |
| Less than High School | 0.0% (Data is updating) | 11.9% (101) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 16.1% (137) |
Education Levels Comparison: Glen arm vs Chester
- In Chester, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Glen arm.
- In Chester, the rate of residents with high school diplomas is higher at 16.1% compared to 0.0% in Glen arm.
- The percentage of residents with less than a high school education is higher in Chester at 11.9%, compared to 0.0% in Glen arm.
- In Chester, a larger share of residents have a bachelor's degree or higher at 16.1% compared to 0.0% in Glen arm.
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.