Demographics details for Selma, OR vs Red bluff, CA
Population Overview
Compare main population characteristics in Selma, OR vs Red bluff, CA.
| Data | Selma | Red bluff |
|---|---|---|
| Population | 892 | 14,416 |
| Median Age | 36.6 years | 35.2 years |
| Median Income | $42,319 | $47,367 |
| Married Families | 54.0% | 27.0% |
| Poverty Level | 13% | 14% |
| Unemployment Rate | 4.5 | 6.2 |
Population Comparison: Selma vs Red bluff
- The population in Red bluff is higher at 14,416, compared to 892 in Selma.
- Residents in Selma have a higher median age of 36.6 years compared to 35.2 years in Red bluff.
- Red bluff has a higher median income of $47,367, compared to $42,319 in Selma.
- A higher percentage of married families is found in Selma at 54.0% compared to 27.0% in Red bluff.
- The poverty level is higher in Red bluff at 14%, compared to 13% in Selma.
- Red bluff has a higher unemployment rate at 6.2% compared to 4.5% in Selma.
Demographics
Demographics Selma vs Red bluff provide insight into the diversity of the communities to compare.
| Demographic | Selma | Red bluff |
|---|---|---|
| Black | Data is updating | 4 |
| White | 95 | 60 |
| Asian | Data is updating | 3 |
| Hispanic | 1 | 19 |
| Two or More Races | 4 | 12 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Selma vs Red bluff
- In Red bluff, the percentage of Black residents is higher at 4% compared to 0% in Selma.
- Selma has a higher percentage of White residents at 95% compared to 60% in Red bluff.
- In Red bluff, the Asian population stands at 3%, greater than 0% in Selma.
- Red bluff has a higher percentage of Hispanic residents at 19%, compared to 1% in Selma.
- The percentage of residents identifying as two or more races is higher in Red bluff at 12%, compared to 4% in Selma.
- In Red bluff, the percentage of American Indian residents is higher at 2%, compared to 0% in Selma.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Selma | Red bluff |
|---|---|---|
| Mental Health Not Good | 18.4% | 20.4% |
| Physical Health Not Good | 11.6% | 14.9% |
| Depression | 26.9% | 24.2% |
| Smoking | 17.0% | 19.2% |
| Binge Drinking | 18.4% | 15.9% |
| Obesity | 30.7% | 36.3% |
| Disability Percentage | 28.0% | 19.0% |
Health Statistics Comparison: Selma vs Red bluff
- In Red bluff, a higher percentage report poor mental health at 20.4% compared to 18.4% in Selma.
- Depression is more prevalent in Selma at 26.9% compared to 24.2% in Red bluff.
- Red bluff has a higher smoking rate at 19.2% compared to 17.0% in Selma.
- Binge drinking is more common in Selma at 18.4% compared to 15.9% in Red bluff.
- Red bluff has higher obesity rates at 36.3% compared to 30.7% in Selma.
- Disability percentages are higher in Selma at 28.0% 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 | Selma | Red bluff |
|---|---|---|
| No Schooling | 1.5% (13) | 0.9% (124) |
| High School Diploma | 15.9% (142) | 16.8% (2,417) |
| Less than High School | 8.3% (74) | 12.2% (1,759) |
| Bachelor's Degree and Higher | 1.7% (15) | 6.6% (952) |
Education Levels Comparison: Selma vs Red bluff
- A higher percentage of residents in Selma have no formal schooling at 1.5% compared to 0.9% in Red bluff.
- In Red bluff, the rate of residents with high school diplomas is higher at 16.8% compared to 15.9% in Selma.
- The percentage of residents with less than a high school education is higher in Red bluff at 12.2%, compared to 8.3% in Selma.
- In Red bluff, a larger share of residents have a bachelor's degree or higher at 6.6% compared to 1.7% in Selma.
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.