Demographics details for Red bluff, CA vs Union city, PA
Population Overview
Compare main population characteristics in Red bluff, CA vs Union city, PA.
Data | Red bluff | Union city |
---|---|---|
Population | 14,416 | 2,887 |
Median Age | 35.2 years | 46.6 years |
Median Income | $47,367 | $41,764 |
Married Families | 27.0% | 40.0% |
Poverty Level | 14% | 12% |
Unemployment Rate | 6.2 | 5.2 |
Population Comparison: Red bluff vs Union city
- In Red bluff, the population is higher at 14,416, compared to 2,887 in Union city.
- The median age in Union city is higher at 46.6 years, compared to 35.2 years in Red bluff.
- Red bluff has a higher median income of $47,367 compared to $41,764 in Union city.
- In Union city, the percentage of married families is higher at 40.0%, compared to 27.0% in Red bluff.
- Red bluff has a higher poverty level at 14% compared to 12% in Union city.
- The unemployment rate in Red bluff is higher at 6.2%, compared to 5.2% in Union city.
Demographics
Demographics Red bluff vs Union city provide insight into the diversity of the communities to compare.
Demographic | Red bluff | Union city |
---|---|---|
Black | 4 | Data is updating |
White | 60 | 91 |
Asian | 3 | Data is updating |
Hispanic | 19 | 4 |
Two or More Races | 12 | 5 |
American Indian | 2 | Data is updating |
Demographics Comparison: Red bluff vs Union city
- A higher percentage of Black residents are in Red bluff at 4% compared to 0% in Union city.
- The percentage of White residents is higher in Union city at 91% compared to 60% in Red bluff.
- The Asian population is larger in Red bluff at 3% compared to 0% in Union city.
- The Hispanic community is larger in Red bluff at 19% compared to 4% in Union city.
- More residents identify as two or more races in Red bluff at 12% compared to 5% in Union city.
- A greater percentage of American Indian residents live in Red bluff at 2% compared to 0% in Union city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Red bluff | Union city |
---|---|---|
Mental Health Not Good | 20.4% | 19.6% |
Physical Health Not Good | 14.9% | 14.5% |
Depression | 24.2% | 24.6% |
Smoking | 19.2% | 25.3% |
Binge Drinking | 15.9% | 17.8% |
Obesity | 36.3% | 39.2% |
Disability Percentage | 19.0% | 21.0% |
Health Statistics Comparison: Red bluff vs Union city
- More residents in Red bluff report poor mental health at 20.4% compared to 19.6% in Union city.
- Higher depression rates are seen in Union city at 24.6% versus 24.2% in Red bluff.
- Union city has a higher smoking rate at 25.3% compared to 19.2% in Red bluff.
- More residents engage in binge drinking in Union city at 17.8% compared to 15.9% in Red bluff.
- Union city has higher obesity rates at 39.2% compared to 36.3% in Red bluff.
- There is a higher percentage of disabled individuals in Union city at 21.0% 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 | Red bluff | Union city |
---|---|---|
No Schooling | 0.9% (124) | 0.3% (9) |
High School Diploma | 16.8% (2,417) | 42.5% (1,226) |
Less than High School | 12.2% (1,759) | 16.5% (476) |
Bachelor's Degree and Higher | 6.6% (952) | 8.2% (237) |
Education Levels Comparison: Red bluff vs Union city
- A higher percentage of residents in Red bluff have no formal schooling at 0.9% compared to 0.3% in Union city.
- In Union city, the rate of residents with high school diplomas is higher at 42.5% compared to 16.8% in Red bluff.
- The percentage of residents with less than a high school education is higher in Union city at 16.5%, compared to 12.2% in Red bluff.
- In Union city, a larger share of residents have a bachelor's degree or higher at 8.2% 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.