Demographics details for Klamath falls, OR vs Monroe, MI
Population Overview
Compare main population characteristics in Klamath falls, OR vs Monroe, MI.
Data | Klamath falls | Monroe |
---|---|---|
Population | 21,977 | 20,295 |
Median Age | 35.1 years | 36.6 years |
Median Income | $46,695 | $57,779 |
Married Families | 31.0% | 33.0% |
Poverty Level | 18% | 12% |
Unemployment Rate | 5.2 | 5.8 |
Population Comparison: Klamath falls vs Monroe
- In Klamath falls, the population is higher at 21,977, compared to 20,295 in Monroe.
- The median age in Monroe is higher at 36.6 years, compared to 35.1 years in Klamath falls.
- Monroe has a higher median income of $57,779, compared to $46,695 in Klamath falls.
- In Monroe, the percentage of married families is higher at 33.0%, compared to 31.0% in Klamath falls.
- Klamath falls has a higher poverty level at 18% compared to 12% in Monroe.
- Monroe has a higher unemployment rate at 5.8% compared to 5.2% in Klamath falls.
Demographics
Demographics Klamath falls vs Monroe provide insight into the diversity of the communities to compare.
Demographic | Klamath falls | Monroe |
---|---|---|
Black | 1 | 6 |
White | 69 | 86 |
Asian | 1 | 1 |
Hispanic | 15 | 3 |
Two or More Races | 11 | 4 |
American Indian | 3 | Data is updating |
Demographics Comparison: Klamath falls vs Monroe
- In Monroe, the percentage of Black residents is higher at 6% compared to 1% in Klamath falls.
- The percentage of White residents is higher in Monroe at 86% compared to 69% in Klamath falls.
- Both Klamath falls and Monroe have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Klamath falls at 15% compared to 3% in Monroe.
- More residents identify as two or more races in Klamath falls at 11% compared to 4% in Monroe.
- A greater percentage of American Indian residents live in Klamath falls at 3% compared to 0% in Monroe.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Klamath falls | Monroe |
---|---|---|
Mental Health Not Good | 20.2% | 19.4% |
Physical Health Not Good | 13.4% | 13.2% |
Depression | 28.4% | 25.7% |
Smoking | 19.9% | 21.6% |
Binge Drinking | 15.8% | 17.5% |
Obesity | 35.9% | 43.7% |
Disability Percentage | 20.0% | 16.0% |
Health Statistics Comparison: Klamath falls vs Monroe
- More residents in Klamath falls report poor mental health at 20.2% compared to 19.4% in Monroe.
- Depression is more prevalent in Klamath falls at 28.4% compared to 25.7% in Monroe.
- Monroe has a higher smoking rate at 21.6% compared to 19.9% in Klamath falls.
- More residents engage in binge drinking in Monroe at 17.5% compared to 15.8% in Klamath falls.
- Monroe has higher obesity rates at 43.7% compared to 35.9% in Klamath falls.
- Disability percentages are higher in Klamath falls at 20.0% compared to 16.0% in Monroe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Klamath falls | Monroe |
---|---|---|
No Schooling | 0.9% (192) | 0.5% (105) |
High School Diploma | 16.0% (3,508) | 17.0% (3,449) |
Less than High School | 15.5% (3,401) | 13.0% (2,633) |
Bachelor's Degree and Higher | 14.4% (3,175) | 13.2% (2,681) |
Education Levels Comparison: Klamath falls vs Monroe
- A higher percentage of residents in Klamath falls have no formal schooling at 0.9% compared to 0.5% in Monroe.
- In Monroe, the rate of residents with high school diplomas is higher at 17.0% compared to 16.0% in Klamath falls.
- More residents in Klamath falls have less than a high school education at 15.5% compared to 13.0% in Monroe.
- A higher percentage of residents in Klamath falls hold a bachelor's degree or higher at 14.4% compared to 13.2% in Monroe.
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.