Demographics details for Klamath falls, OR vs Big sky, MT
Population Overview
Compare main population characteristics in Klamath falls, OR vs Big sky, MT.
| Data | Klamath falls | Big sky |
|---|---|---|
| Population | 21,977 | 2,825 |
| Median Age | 35.1 years | 37.2 years |
| Median Income | $46,695 | $94,176 |
| Married Families | 31.0% | 43.0% |
| Poverty Level | 18% | 5% |
| Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Klamath falls vs Big sky
- In Klamath falls, the population is higher at 21,977, compared to 2,825 in Big sky.
- The median age in Big sky is higher at 37.2 years, compared to 35.1 years in Klamath falls.
- Big sky has a higher median income of $94,176, compared to $46,695 in Klamath falls.
- In Big sky, the percentage of married families is higher at 43.0%, compared to 31.0% in Klamath falls.
- Klamath falls has a higher poverty level at 18% compared to 5% in Big sky.
- The unemployment rate in Klamath falls is higher at 5.2%, compared to 3.5% in Big sky.
Demographics
Demographics Klamath falls vs Big sky provide insight into the diversity of the communities to compare.
| Demographic | Klamath falls | Big sky |
|---|---|---|
| Black | 1 | Data is updating |
| White | 69 | 85 |
| Asian | 1 | Data is updating |
| Hispanic | 15 | 12 |
| Two or More Races | 11 | 2 |
| American Indian | 3 | 1 |
Demographics Comparison: Klamath falls vs Big sky
- A higher percentage of Black residents are in Klamath falls at 1% compared to 0% in Big sky.
- The percentage of White residents is higher in Big sky at 85% compared to 69% in Klamath falls.
- The Asian population is larger in Klamath falls at 1% compared to 0% in Big sky.
- The Hispanic community is larger in Klamath falls at 15% compared to 12% in Big sky.
- More residents identify as two or more races in Klamath falls at 11% compared to 2% in Big sky.
- A greater percentage of American Indian residents live in Klamath falls at 3% compared to 1% in Big sky.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Klamath falls | Big sky |
|---|---|---|
| Mental Health Not Good | 20.2% | 12.8% |
| Physical Health Not Good | 13.4% | 8.0% |
| Depression | 28.4% | 20.6% |
| Smoking | 19.9% | 10.7% |
| Binge Drinking | 15.8% | 24.3% |
| Obesity | 35.9% | 24.1% |
| Disability Percentage | 20.0% | 5.0% |
Health Statistics Comparison: Klamath falls vs Big sky
- More residents in Klamath falls report poor mental health at 20.2% compared to 12.8% in Big sky.
- Depression is more prevalent in Klamath falls at 28.4% compared to 20.6% in Big sky.
- Smoking is more prevalent in Klamath falls at 19.9% compared to 10.7% in Big sky.
- More residents engage in binge drinking in Big sky at 24.3% compared to 15.8% in Klamath falls.
- Obesity rates are higher in Klamath falls at 35.9% compared to 24.1% in Big sky.
- Disability percentages are higher in Klamath falls at 20.0% compared to 5.0% in Big sky.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Klamath falls | Big sky |
|---|---|---|
| No Schooling | 0.9% (192) | 0.0% (Data is updating) |
| High School Diploma | 16.0% (3,508) | 10.1% (284) |
| Less than High School | 15.5% (3,401) | 4.2% (118) |
| Bachelor's Degree and Higher | 14.4% (3,175) | 44.6% (1,261) |
Education Levels Comparison: Klamath falls vs Big sky
- A higher percentage of residents in Klamath falls have no formal schooling at 0.9% compared to 0.0% in Big sky.
- A higher percentage of residents in Klamath falls hold a high school diploma at 16.0% compared to 10.1% in Big sky.
- More residents in Klamath falls have less than a high school education at 15.5% compared to 4.2% in Big sky.
- In Big sky, a larger share of residents have a bachelor's degree or higher at 44.6% compared to 14.4% in Klamath falls.
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.