Demographics details for White swan, WA vs Red lodge, MT
Population Overview
Compare main population characteristics in White swan, WA vs Red lodge, MT.
Data | White swan | Red lodge |
---|---|---|
Population | 561 | 2,510 |
Median Age | 24.5 years | 52.9 years |
Median Income | $51,667 | $39,472 |
Married Families | 13.0% | 39.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 8.2 | 2.5 |
Population Comparison: White swan vs Red lodge
- The population in Red lodge is higher at 2,510, compared to 561 in White swan.
- The median age in Red lodge is higher at 52.9 years, compared to 24.5 years in White swan.
- White swan has a higher median income of $51,667 compared to $39,472 in Red lodge.
- In Red lodge, the percentage of married families is higher at 39.0%, compared to 13.0% in White swan.
- White swan has a higher poverty level at 12% compared to 10% in Red lodge.
- The unemployment rate in White swan is higher at 8.2%, compared to 2.5% in Red lodge.
Demographics
Demographics White swan vs Red lodge provide insight into the diversity of the communities to compare.
Demographic | White swan | Red lodge |
---|---|---|
Black | Data is updating | 1 |
White | -6 | 91 |
Asian | Data is updating | 2 |
Hispanic | 26 | 4 |
Two or More Races | 10 | 2 |
American Indian | 70 | Data is updating |
Demographics Comparison: White swan vs Red lodge
- In Red lodge, the percentage of Black residents is higher at 1% compared to 0% in White swan.
- The percentage of White residents is higher in Red lodge at 91% compared to -6% in White swan.
- In Red lodge, the Asian population stands at 2%, greater than 0% in White swan.
- The Hispanic community is larger in White swan at 26% compared to 4% in Red lodge.
- More residents identify as two or more races in White swan at 10% compared to 2% in Red lodge.
- A greater percentage of American Indian residents live in White swan at 70% compared to 0% in Red lodge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | White swan | Red lodge |
---|---|---|
Mental Health Not Good | 22.0% | 14.8% |
Physical Health Not Good | 18.1% | 9.4% |
Depression | 24.7% | 22.8% |
Smoking | 26.0% | 14.1% |
Binge Drinking | 15.8% | 23.2% |
Obesity | 43.8% | 30.5% |
Disability Percentage | 21.0% | 16.0% |
Health Statistics Comparison: White swan vs Red lodge
- More residents in White swan report poor mental health at 22.0% compared to 14.8% in Red lodge.
- Depression is more prevalent in White swan at 24.7% compared to 22.8% in Red lodge.
- Smoking is more prevalent in White swan at 26.0% compared to 14.1% in Red lodge.
- More residents engage in binge drinking in Red lodge at 23.2% compared to 15.8% in White swan.
- Obesity rates are higher in White swan at 43.8% compared to 30.5% in Red lodge.
- Disability percentages are higher in White swan at 21.0% 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 | White swan | Red lodge |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.2% (4) |
High School Diploma | 16.4% (92) | 16.9% (423) |
Less than High School | 24.8% (139) | 2.0% (50) |
Bachelor's Degree and Higher | 0.9% (5) | 31.4% (787) |
Education Levels Comparison: White swan vs Red lodge
- In Red lodge, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in White swan.
- In Red lodge, the rate of residents with high school diplomas is higher at 16.9% compared to 16.4% in White swan.
- More residents in White swan have less than a high school education at 24.8% compared to 2.0% in Red lodge.
- In Red lodge, a larger share of residents have a bachelor's degree or higher at 31.4% compared to 0.9% in White swan.
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.