Demographics details for Chickasha, OK vs Bieber, CA
Population Overview
Compare main population characteristics in Chickasha, OK vs Bieber, CA.
| Data | Chickasha | Bieber |
|---|---|---|
| Population | 16,549 | 151 |
| Median Age | 36.4 years | 33.6 years |
| Median Income | $55,136 | $46,667 |
| Married Families | 34.0% | 34.0% |
| Poverty Level | 17% | Data is updating |
| Unemployment Rate | 3.2 | 5.1 |
Population Comparison: Chickasha vs Bieber
- In Chickasha, the population is higher at 16,549, compared to 151 in Bieber.
- Residents in Chickasha have a higher median age of 36.4 years compared to 33.6 years in Bieber.
- Chickasha has a higher median income of $55,136 compared to $46,667 in Bieber.
- The percentage of married families is the same in both Chickasha and Bieber at 34.0%.
- Chickasha has a higher poverty level at 17% compared to 0% in Bieber.
- Bieber has a higher unemployment rate at 5.1% compared to 3.2% in Chickasha.
Demographics
Demographics Chickasha vs Bieber provide insight into the diversity of the communities to compare.
| Demographic | Chickasha | Bieber |
|---|---|---|
| Black | 6 | Data is updating |
| White | 71 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | 8 | 3 |
| Two or More Races | 11 | 3 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Chickasha vs Bieber
- A higher percentage of Black residents are in Chickasha at 6% compared to 0% in Bieber.
- The percentage of White residents is higher in Bieber at 94% compared to 71% in Chickasha.
- Both Chickasha and Bieber have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Chickasha at 8% compared to 3% in Bieber.
- More residents identify as two or more races in Chickasha at 11% compared to 3% in Bieber.
- A greater percentage of American Indian residents live in Chickasha at 4% compared to 0% in Bieber.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chickasha | Bieber |
|---|---|---|
| Mental Health Not Good | 19.1% | 17.6% |
| Physical Health Not Good | 13.7% | 11.9% |
| Depression | 25.4% | 21.1% |
| Smoking | 21.8% | 14.9% |
| Binge Drinking | 13.8% | 18.1% |
| Obesity | 40.8% | 30.8% |
| Disability Percentage | 18.0% | 19.0% |
Health Statistics Comparison: Chickasha vs Bieber
- More residents in Chickasha report poor mental health at 19.1% compared to 17.6% in Bieber.
- Depression is more prevalent in Chickasha at 25.4% compared to 21.1% in Bieber.
- Smoking is more prevalent in Chickasha at 21.8% compared to 14.9% in Bieber.
- More residents engage in binge drinking in Bieber at 18.1% compared to 13.8% in Chickasha.
- Obesity rates are higher in Chickasha at 40.8% compared to 30.8% in Bieber.
- There is a higher percentage of disabled individuals in Bieber at 19.0% compared to 18.0% in Chickasha.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chickasha | Bieber |
|---|---|---|
| No Schooling | 0.5% (78) | 0.0% (Data is updating) |
| High School Diploma | 22.5% (3,730) | 13.2% (20) |
| Less than High School | 13.1% (2,160) | 5.3% (8) |
| Bachelor's Degree and Higher | 12.5% (2,066) | 6.0% (9) |
Education Levels Comparison: Chickasha vs Bieber
- A higher percentage of residents in Chickasha have no formal schooling at 0.5% compared to 0.0% in Bieber.
- A higher percentage of residents in Chickasha hold a high school diploma at 22.5% compared to 13.2% in Bieber.
- More residents in Chickasha have less than a high school education at 13.1% compared to 5.3% in Bieber.
- A higher percentage of residents in Chickasha hold a bachelor's degree or higher at 12.5% compared to 6.0% in Bieber.
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.