Demographics details for Red bluff, CA vs Pekin, IL
Population Overview
Compare main population characteristics in Red bluff, CA vs Pekin, IL.
| Data | Red bluff | Pekin |
|---|---|---|
| Population | 14,416 | 31,260 |
| Median Age | 35.2 years | 41.2 years |
| Median Income | $47,367 | $52,507 |
| Married Families | 27.0% | 34.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 6.2 | 6.4 |
Population Comparison: Red bluff vs Pekin
- The population in Pekin is higher at 31,260, compared to 14,416 in Red bluff.
- The median age in Pekin is higher at 41.2 years, compared to 35.2 years in Red bluff.
- Pekin has a higher median income of $52,507, compared to $47,367 in Red bluff.
- In Pekin, the percentage of married families is higher at 34.0%, compared to 27.0% in Red bluff.
- Red bluff has a higher poverty level at 14% compared to 12% in Pekin.
- Pekin has a higher unemployment rate at 6.4% compared to 6.2% in Red bluff.
Demographics
Demographics Red bluff vs Pekin provide insight into the diversity of the communities to compare.
| Demographic | Red bluff | Pekin |
|---|---|---|
| Black | 4 | 3 |
| White | 60 | 89 |
| Asian | 3 | 1 |
| Hispanic | 19 | 3 |
| Two or More Races | 12 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Red bluff vs Pekin
- A higher percentage of Black residents are in Red bluff at 4% compared to 3% in Pekin.
- The percentage of White residents is higher in Pekin at 89% compared to 60% in Red bluff.
- The Asian population is larger in Red bluff at 3% compared to 1% in Pekin.
- The Hispanic community is larger in Red bluff at 19% compared to 3% in Pekin.
- More residents identify as two or more races in Red bluff at 12% compared to 4% in Pekin.
- A greater percentage of American Indian residents live in Red bluff at 2% compared to 0% in Pekin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Red bluff | Pekin |
|---|---|---|
| Mental Health Not Good | 20.4% | 17.3% |
| Physical Health Not Good | 14.9% | 12.0% |
| Depression | 24.2% | 23.2% |
| Smoking | 19.2% | 19.8% |
| Binge Drinking | 15.9% | 17.3% |
| Obesity | 36.3% | 38.0% |
| Disability Percentage | 19.0% | 15.0% |
Health Statistics Comparison: Red bluff vs Pekin
- More residents in Red bluff report poor mental health at 20.4% compared to 17.3% in Pekin.
- Depression is more prevalent in Red bluff at 24.2% compared to 23.2% in Pekin.
- Pekin has a higher smoking rate at 19.8% compared to 19.2% in Red bluff.
- More residents engage in binge drinking in Pekin at 17.3% compared to 15.9% in Red bluff.
- Pekin has higher obesity rates at 38.0% compared to 36.3% in Red bluff.
- Disability percentages are higher in Red bluff at 19.0% compared to 15.0% in Pekin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Red bluff | Pekin |
|---|---|---|
| No Schooling | 0.9% (124) | 0.7% (204) |
| High School Diploma | 16.8% (2,417) | 21.2% (6,641) |
| Less than High School | 12.2% (1,759) | 13.9% (4,351) |
| Bachelor's Degree and Higher | 6.6% (952) | 13.2% (4,126) |
Education Levels Comparison: Red bluff vs Pekin
- A higher percentage of residents in Red bluff have no formal schooling at 0.9% compared to 0.7% in Pekin.
- In Pekin, the rate of residents with high school diplomas is higher at 21.2% compared to 16.8% in Red bluff.
- The percentage of residents with less than a high school education is higher in Pekin at 13.9%, compared to 12.2% in Red bluff.
- In Pekin, a larger share of residents have a bachelor's degree or higher at 13.2% 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.