Demographics details for Red bluff, CA vs Smith center, KS
Population Overview
Compare main population characteristics in Red bluff, CA vs Smith center, KS.
| Data | Red bluff | Smith center |
|---|---|---|
| Population | 14,416 | 1,561 |
| Median Age | 35.2 years | 46.6 years |
| Median Income | $47,367 | $49,444 |
| Married Families | 27.0% | 43.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 6.2 | 3.2 |
Population Comparison: Red bluff vs Smith center
- In Red bluff, the population is higher at 14,416, compared to 1,561 in Smith center.
- The median age in Smith center is higher at 46.6 years, compared to 35.2 years in Red bluff.
- Smith center has a higher median income of $49,444, compared to $47,367 in Red bluff.
- In Smith center, the percentage of married families is higher at 43.0%, compared to 27.0% in Red bluff.
- Red bluff has a higher poverty level at 14% compared to 10% in Smith center.
- The unemployment rate in Red bluff is higher at 6.2%, compared to 3.2% in Smith center.
Demographics
Demographics Red bluff vs Smith center provide insight into the diversity of the communities to compare.
| Demographic | Red bluff | Smith center |
|---|---|---|
| Black | 4 | 1 |
| White | 60 | 94 |
| Asian | 3 | Data is updating |
| Hispanic | 19 | 3 |
| Two or More Races | 12 | 2 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Red bluff vs Smith center
- A higher percentage of Black residents are in Red bluff at 4% compared to 1% in Smith center.
- The percentage of White residents is higher in Smith center at 94% compared to 60% in Red bluff.
- The Asian population is larger in Red bluff at 3% compared to 0% in Smith center.
- The Hispanic community is larger in Red bluff at 19% compared to 3% in Smith center.
- More residents identify as two or more races in Red bluff at 12% compared to 2% in Smith center.
- A greater percentage of American Indian residents live in Red bluff at 2% compared to 0% in Smith center.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Red bluff | Smith center |
|---|---|---|
| Mental Health Not Good | 20.4% | 16.7% |
| Physical Health Not Good | 14.9% | 10.8% |
| Depression | 24.2% | 21.7% |
| Smoking | 19.2% | 19.2% |
| Binge Drinking | 15.9% | 19.0% |
| Obesity | 36.3% | 38.8% |
| Disability Percentage | 19.0% | 15.0% |
Health Statistics Comparison: Red bluff vs Smith center
- More residents in Red bluff report poor mental health at 20.4% compared to 16.7% in Smith center.
- Depression is more prevalent in Red bluff at 24.2% compared to 21.7% in Smith center.
- Smoking rates are the same in both Red bluff and Smith center at 19.2%.
- More residents engage in binge drinking in Smith center at 19.0% compared to 15.9% in Red bluff.
- Smith center has higher obesity rates at 38.8% compared to 36.3% in Red bluff.
- Disability percentages are higher in Red bluff at 19.0% compared to 15.0% in Smith center.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Red bluff | Smith center |
|---|---|---|
| No Schooling | 0.9% (124) | 0.2% (3) |
| High School Diploma | 16.8% (2,417) | 29.4% (459) |
| Less than High School | 12.2% (1,759) | 7.6% (118) |
| Bachelor's Degree and Higher | 6.6% (952) | 14.8% (231) |
Education Levels Comparison: Red bluff vs Smith center
- A higher percentage of residents in Red bluff have no formal schooling at 0.9% compared to 0.2% in Smith center.
- In Smith center, the rate of residents with high school diplomas is higher at 29.4% compared to 16.8% in Red bluff.
- More residents in Red bluff have less than a high school education at 12.2% compared to 7.6% in Smith center.
- In Smith center, a larger share of residents have a bachelor's degree or higher at 14.8% 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.