Demographics details for Red lodge, MT vs Bluefield, WV
Population Overview
Compare main population characteristics in Red lodge, MT vs Bluefield, WV.
Data | Red lodge | Bluefield |
---|---|---|
Population | 2,510 | 9,408 |
Median Age | 52.9 years | 43.9 years |
Median Income | $39,472 | $45,854 |
Married Families | 39.0% | 36.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 2.5 | 3.1 |
Population Comparison: Red lodge vs Bluefield
- The population in Bluefield is higher at 9,408, compared to 2,510 in Red lodge.
- Residents in Red lodge have a higher median age of 52.9 years compared to 43.9 years in Bluefield.
- Bluefield has a higher median income of $45,854, compared to $39,472 in Red lodge.
- A higher percentage of married families is found in Red lodge at 39.0% compared to 36.0% in Bluefield.
- The poverty level is higher in Bluefield at 12%, compared to 10% in Red lodge.
- Bluefield has a higher unemployment rate at 3.1% compared to 2.5% in Red lodge.
Demographics
Demographics Red lodge vs Bluefield provide insight into the diversity of the communities to compare.
Demographic | Red lodge | Bluefield |
---|---|---|
Black | 1 | 23 |
White | 91 | 66 |
Asian | 2 | Data is updating |
Hispanic | 4 | 3 |
Two or More Races | 2 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Red lodge vs Bluefield
- In Bluefield, the percentage of Black residents is higher at 23% compared to 1% in Red lodge.
- Red lodge has a higher percentage of White residents at 91% compared to 66% in Bluefield.
- The Asian population is larger in Red lodge at 2% compared to 0% in Bluefield.
- The Hispanic community is larger in Red lodge at 4% compared to 3% in Bluefield.
- The percentage of residents identifying as two or more races is higher in Bluefield at 8%, compared to 2% in Red lodge.
- The percentage of American Indian residents is the same in both Red lodge and Bluefield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Red lodge | Bluefield |
---|---|---|
Mental Health Not Good | 14.8% | 22.1% |
Physical Health Not Good | 9.4% | 15.9% |
Depression | 22.8% | 28.4% |
Smoking | 14.1% | 21.4% |
Binge Drinking | 23.2% | 12.0% |
Obesity | 30.5% | 46.3% |
Disability Percentage | 16.0% | 27.0% |
Health Statistics Comparison: Red lodge vs Bluefield
- In Bluefield, a higher percentage report poor mental health at 22.1% compared to 14.8% in Red lodge.
- Higher depression rates are seen in Bluefield at 28.4% versus 22.8% in Red lodge.
- Bluefield has a higher smoking rate at 21.4% compared to 14.1% in Red lodge.
- Binge drinking is more common in Red lodge at 23.2% compared to 12.0% in Bluefield.
- Bluefield has higher obesity rates at 46.3% compared to 30.5% in Red lodge.
- There is a higher percentage of disabled individuals in Bluefield at 27.0% compared to 16.0% in Red lodge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Red lodge | Bluefield |
---|---|---|
No Schooling | 0.2% (4) | 0.2% (21) |
High School Diploma | 16.9% (423) | 19.0% (1,788) |
Less than High School | 2.0% (50) | 16.0% (1,505) |
Bachelor's Degree and Higher | 31.4% (787) | 19.4% (1,826) |
Education Levels Comparison: Red lodge vs Bluefield
- The percentage of residents with no formal schooling is the same in both Red lodge and Bluefield at 0.2%.
- In Bluefield, the rate of residents with high school diplomas is higher at 19.0% compared to 16.9% in Red lodge.
- The percentage of residents with less than a high school education is higher in Bluefield at 16.0%, compared to 2.0% in Red lodge.
- A higher percentage of residents in Red lodge hold a bachelor's degree or higher at 31.4% compared to 19.4% in Bluefield.
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.