Demographics details for Red bluff, CA vs Klickitat, WA
Population Overview
Compare main population characteristics in Red bluff, CA vs Klickitat, WA.
| Data | Red bluff | Klickitat |
|---|---|---|
| Population | 14,416 | 23,271 |
| Median Age | 35.2 years | 47.0 years |
| Median Income | $47,367 | $66,581 |
| Married Families | 27.0% | 45.0% |
| Poverty Level | 14% | 8% |
| Unemployment Rate | 6.2 | 4.7 |
Population Comparison: Red bluff vs Klickitat
- The population in Klickitat is higher at 23,271, compared to 14,416 in Red bluff.
- The median age in Klickitat is higher at 47.0 years, compared to 35.2 years in Red bluff.
- Klickitat has a higher median income of $66,581, compared to $47,367 in Red bluff.
- In Klickitat, the percentage of married families is higher at 45.0%, compared to 27.0% in Red bluff.
- Red bluff has a higher poverty level at 14% compared to 8% in Klickitat.
- The unemployment rate in Red bluff is higher at 6.2%, compared to 4.7% in Klickitat.
Demographics
Demographics Red bluff vs Klickitat provide insight into the diversity of the communities to compare.
| Demographic | Red bluff | Klickitat |
|---|---|---|
| Black | 4 | 1 |
| White | 60 | 77 |
| Asian | 3 | 1 |
| Hispanic | 19 | 12 |
| Two or More Races | 12 | 8 |
| American Indian | 2 | 1 |
Demographics Comparison: Red bluff vs Klickitat
- A higher percentage of Black residents are in Red bluff at 4% compared to 1% in Klickitat.
- The percentage of White residents is higher in Klickitat at 77% compared to 60% in Red bluff.
- The Asian population is larger in Red bluff at 3% compared to 1% in Klickitat.
- The Hispanic community is larger in Red bluff at 19% compared to 12% in Klickitat.
- More residents identify as two or more races in Red bluff at 12% compared to 8% in Klickitat.
- A greater percentage of American Indian residents live in Red bluff at 2% compared to 1% in Klickitat.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Red bluff | Klickitat |
|---|---|---|
| Mental Health Not Good | 20.4% | 17.6% |
| Physical Health Not Good | 14.9% | 11.7% |
| Depression | 24.2% | 25.6% |
| Smoking | 19.2% | 15.5% |
| Binge Drinking | 15.9% | 18.7% |
| Obesity | 36.3% | 30.7% |
| Disability Percentage | 19.0% | 15.0% |
Health Statistics Comparison: Red bluff vs Klickitat
- More residents in Red bluff report poor mental health at 20.4% compared to 17.6% in Klickitat.
- Higher depression rates are seen in Klickitat at 25.6% versus 24.2% in Red bluff.
- Smoking is more prevalent in Red bluff at 19.2% compared to 15.5% in Klickitat.
- More residents engage in binge drinking in Klickitat at 18.7% compared to 15.9% in Red bluff.
- Obesity rates are higher in Red bluff at 36.3% compared to 30.7% in Klickitat.
- Disability percentages are higher in Red bluff at 19.0% compared to 15.0% in Klickitat.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Red bluff | Klickitat |
|---|---|---|
| No Schooling | 0.9% (124) | 1.0% (223) |
| High School Diploma | 16.8% (2,417) | 16.1% (3,753) |
| Less than High School | 12.2% (1,759) | 15.2% (3,532) |
| Bachelor's Degree and Higher | 6.6% (952) | 22.7% (5,271) |
Education Levels Comparison: Red bluff vs Klickitat
- In Klickitat, a larger percentage of residents lack formal schooling at 1.0% compared to 0.9% in Red bluff.
- A higher percentage of residents in Red bluff hold a high school diploma at 16.8% compared to 16.1% in Klickitat.
- The percentage of residents with less than a high school education is higher in Klickitat at 15.2%, compared to 12.2% in Red bluff.
- In Klickitat, a larger share of residents have a bachelor's degree or higher at 22.7% compared to 6.6% in Red bluff.
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.