Demographics details for White cloud, KS vs Red bluff, CA
Population Overview
Compare main population characteristics in White cloud, KS vs Red bluff, CA.
| Data | White cloud | Red bluff |
|---|---|---|
| Population | 116 | 14,416 |
| Median Age | 50.4 years | 35.2 years |
| Median Income | $29,750 | $47,367 |
| Married Families | 32.0% | 27.0% |
| Poverty Level | 14% | 14% |
| Unemployment Rate | 3.5 | 6.2 |
Population Comparison: White cloud vs Red bluff
- The population in Red bluff is higher at 14,416, compared to 116 in White cloud.
- Residents in White cloud have a higher median age of 50.4 years compared to 35.2 years in Red bluff.
- Red bluff has a higher median income of $47,367, compared to $29,750 in White cloud.
- A higher percentage of married families is found in White cloud at 32.0% compared to 27.0% in Red bluff.
- The poverty level is identical in both White cloud and Red bluff at 14%.
- Red bluff has a higher unemployment rate at 6.2% compared to 3.5% in White cloud.
Demographics
Demographics White cloud vs Red bluff provide insight into the diversity of the communities to compare.
| Demographic | White cloud | Red bluff |
|---|---|---|
| Black | 2 | 4 |
| White | 86 | 60 |
| Asian | Data is updating | 3 |
| Hispanic | Data is updating | 19 |
| Two or More Races | 5 | 12 |
| American Indian | 7 | 2 |
Demographics Comparison: White cloud vs Red bluff
- In Red bluff, the percentage of Black residents is higher at 4% compared to 2% in White cloud.
- White cloud has a higher percentage of White residents at 86% compared to 60% in Red bluff.
- In Red bluff, the Asian population stands at 3%, greater than 0% in White cloud.
- Red bluff has a higher percentage of Hispanic residents at 19%, compared to 0% in White cloud.
- The percentage of residents identifying as two or more races is higher in Red bluff at 12%, compared to 5% in White cloud.
- A greater percentage of American Indian residents live in White cloud at 7% compared to 2% in Red bluff.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White cloud | Red bluff |
|---|---|---|
| Mental Health Not Good | 17.1% | 20.4% |
| Physical Health Not Good | 11.4% | 14.9% |
| Depression | 21.5% | 24.2% |
| Smoking | 20.7% | 19.2% |
| Binge Drinking | 18.5% | 15.9% |
| Obesity | 41.7% | 36.3% |
| Disability Percentage | 32.0% | 19.0% |
Health Statistics Comparison: White cloud vs Red bluff
- In Red bluff, a higher percentage report poor mental health at 20.4% compared to 17.1% in White cloud.
- Higher depression rates are seen in Red bluff at 24.2% versus 21.5% in White cloud.
- Smoking is more prevalent in White cloud at 20.7% compared to 19.2% in Red bluff.
- Binge drinking is more common in White cloud at 18.5% compared to 15.9% in Red bluff.
- Obesity rates are higher in White cloud at 41.7% compared to 36.3% in Red bluff.
- Disability percentages are higher in White cloud at 32.0% compared to 19.0% in Red bluff.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | White cloud | Red bluff |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (124) |
| High School Diploma | 10.3% (12) | 16.8% (2,417) |
| Less than High School | 20.7% (24) | 12.2% (1,759) |
| Bachelor's Degree and Higher | 6.9% (8) | 6.6% (952) |
Education Levels Comparison: White cloud vs Red bluff
- In Red bluff, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in White cloud.
- In Red bluff, the rate of residents with high school diplomas is higher at 16.8% compared to 10.3% in White cloud.
- More residents in White cloud have less than a high school education at 20.7% compared to 12.2% in Red bluff.
- A higher percentage of residents in White cloud hold a bachelor's degree or higher at 6.9% 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.