Demographics details for Klamath falls, OR vs Stewart, MN
Population Overview
Compare main population characteristics in Klamath falls, OR vs Stewart, MN.
Data | Klamath falls | Stewart |
---|---|---|
Population | 21,977 | 474 |
Median Age | 35.1 years | 36.9 years |
Median Income | $46,695 | $52,813 |
Married Families | 31.0% | 43.0% |
Poverty Level | 18% | Data is updating |
Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Klamath falls vs Stewart
- In Klamath falls, the population is higher at 21,977, compared to 474 in Stewart.
- The median age in Stewart is higher at 36.9 years, compared to 35.1 years in Klamath falls.
- Stewart has a higher median income of $52,813, compared to $46,695 in Klamath falls.
- In Stewart, 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 0% in Stewart.
- The unemployment rate in Klamath falls is higher at 5.2%, compared to 3.5% in Stewart.
Demographics
Demographics Klamath falls vs Stewart provide insight into the diversity of the communities to compare.
Demographic | Klamath falls | Stewart |
---|---|---|
Black | 1 | Data is updating |
White | 69 | 70 |
Asian | 1 | Data is updating |
Hispanic | 15 | 24 |
Two or More Races | 11 | 6 |
American Indian | 3 | Data is updating |
Demographics Comparison: Klamath falls vs Stewart
- A higher percentage of Black residents are in Klamath falls at 1% compared to 0% in Stewart.
- The percentage of White residents is higher in Stewart at 70% compared to 69% in Klamath falls.
- The Asian population is larger in Klamath falls at 1% compared to 0% in Stewart.
- Stewart has a higher percentage of Hispanic residents at 24%, compared to 15% in Klamath falls.
- More residents identify as two or more races in Klamath falls at 11% compared to 6% in Stewart.
- A greater percentage of American Indian residents live in Klamath falls at 3% compared to 0% in Stewart.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Klamath falls | Stewart |
---|---|---|
Mental Health Not Good | 20.2% | 15.1% |
Physical Health Not Good | 13.4% | 9.6% |
Depression | 28.4% | 23.1% |
Smoking | 19.9% | 19.3% |
Binge Drinking | 15.8% | 20.3% |
Obesity | 35.9% | 38.6% |
Disability Percentage | 20.0% | 20.0% |
Health Statistics Comparison: Klamath falls vs Stewart
- More residents in Klamath falls report poor mental health at 20.2% compared to 15.1% in Stewart.
- Depression is more prevalent in Klamath falls at 28.4% compared to 23.1% in Stewart.
- Smoking is more prevalent in Klamath falls at 19.9% compared to 19.3% in Stewart.
- More residents engage in binge drinking in Stewart at 20.3% compared to 15.8% in Klamath falls.
- Stewart has higher obesity rates at 38.6% compared to 35.9% in Klamath falls.
- Disability percentages are the same in both Klamath falls and Stewart at 20.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Klamath falls | Stewart |
---|---|---|
No Schooling | 0.9% (192) | 0.0% (Data is updating) |
High School Diploma | 16.0% (3,508) | 30.8% (146) |
Less than High School | 15.5% (3,401) | 13.1% (62) |
Bachelor's Degree and Higher | 14.4% (3,175) | 2.5% (12) |
Education Levels Comparison: Klamath falls vs Stewart
- A higher percentage of residents in Klamath falls have no formal schooling at 0.9% compared to 0.0% in Stewart.
- In Stewart, the rate of residents with high school diplomas is higher at 30.8% compared to 16.0% in Klamath falls.
- More residents in Klamath falls have less than a high school education at 15.5% compared to 13.1% in Stewart.
- A higher percentage of residents in Klamath falls hold a bachelor's degree or higher at 14.4% compared to 2.5% in Stewart.
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.