Demographics details for Klamath falls, OR vs Sumter, SC
Population Overview
Compare main population characteristics in Klamath falls, OR vs Sumter, SC.
| Data | Klamath falls | Sumter |
|---|---|---|
| Population | 21,977 | 42,757 |
| Median Age | 35.1 years | 33.1 years |
| Median Income | $46,695 | $48,900 |
| Married Families | 31.0% | 34.0% |
| Poverty Level | 18% | 15% |
| Unemployment Rate | 5.2 | 6.0 |
Population Comparison: Klamath falls vs Sumter
- The population in Sumter is higher at 42,757, compared to 21,977 in Klamath falls.
- Residents in Klamath falls have a higher median age of 35.1 years compared to 33.1 years in Sumter.
- Sumter has a higher median income of $48,900, compared to $46,695 in Klamath falls.
- In Sumter, the percentage of married families is higher at 34.0%, compared to 31.0% in Klamath falls.
- Klamath falls has a higher poverty level at 18% compared to 15% in Sumter.
- Sumter has a higher unemployment rate at 6.0% compared to 5.2% in Klamath falls.
Demographics
Demographics Klamath falls vs Sumter provide insight into the diversity of the communities to compare.
| Demographic | Klamath falls | Sumter |
|---|---|---|
| Black | 1 | 48 |
| White | 69 | 36 |
| Asian | 1 | 2 |
| Hispanic | 15 | 7 |
| Two or More Races | 11 | 6 |
| American Indian | 3 | 1 |
Demographics Comparison: Klamath falls vs Sumter
- In Sumter, the percentage of Black residents is higher at 48% compared to 1% in Klamath falls.
- Klamath falls has a higher percentage of White residents at 69% compared to 36% in Sumter.
- In Sumter, the Asian population stands at 2%, greater than 1% in Klamath falls.
- The Hispanic community is larger in Klamath falls at 15% compared to 7% in Sumter.
- More residents identify as two or more races in Klamath falls at 11% compared to 6% in Sumter.
- A greater percentage of American Indian residents live in Klamath falls at 3% compared to 1% in Sumter.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Klamath falls | Sumter |
|---|---|---|
| Mental Health Not Good | 20.2% | 18.7% |
| Physical Health Not Good | 13.4% | 13.7% |
| Depression | 28.4% | 20.9% |
| Smoking | 19.9% | 21.7% |
| Binge Drinking | 15.8% | 15.2% |
| Obesity | 35.9% | 42.5% |
| Disability Percentage | 20.0% | 15.0% |
Health Statistics Comparison: Klamath falls vs Sumter
- More residents in Klamath falls report poor mental health at 20.2% compared to 18.7% in Sumter.
- Depression is more prevalent in Klamath falls at 28.4% compared to 20.9% in Sumter.
- Sumter has a higher smoking rate at 21.7% compared to 19.9% in Klamath falls.
- Binge drinking is more common in Klamath falls at 15.8% compared to 15.2% in Sumter.
- Sumter has higher obesity rates at 42.5% compared to 35.9% in Klamath falls.
- Disability percentages are higher in Klamath falls at 20.0% compared to 15.0% in Sumter.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Klamath falls | Sumter |
|---|---|---|
| No Schooling | 0.9% (192) | 0.6% (246) |
| High School Diploma | 16.0% (3,508) | 15.8% (6,741) |
| Less than High School | 15.5% (3,401) | 9.2% (3,936) |
| Bachelor's Degree and Higher | 14.4% (3,175) | 17.5% (7,485) |
Education Levels Comparison: Klamath falls vs Sumter
- A higher percentage of residents in Klamath falls have no formal schooling at 0.9% compared to 0.6% in Sumter.
- A higher percentage of residents in Klamath falls hold a high school diploma at 16.0% compared to 15.8% in Sumter.
- More residents in Klamath falls have less than a high school education at 15.5% compared to 9.2% in Sumter.
- In Sumter, a larger share of residents have a bachelor's degree or higher at 17.5% 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.