Demographics details for Oakley, CA vs Bertha, MN
Population Overview
Compare main population characteristics in Oakley, CA vs Bertha, MN.
| Data | Oakley | Bertha |
|---|---|---|
| Population | 44,688 | 554 |
| Median Age | 35.8 years | 40.1 years |
| Median Income | $120,915 | $51,094 |
| Married Families | 42.0% | 29.0% |
| Poverty Level | 7% | Data is updating |
| Unemployment Rate | 5.6 | 3.2 |
Population Comparison: Oakley vs Bertha
- In Oakley, the population is higher at 44,688, compared to 554 in Bertha.
- The median age in Bertha is higher at 40.1 years, compared to 35.8 years in Oakley.
- Oakley has a higher median income of $120,915 compared to $51,094 in Bertha.
- A higher percentage of married families is found in Oakley at 42.0% compared to 29.0% in Bertha.
- Oakley has a higher poverty level at 7% compared to 0% in Bertha.
- The unemployment rate in Oakley is higher at 5.6%, compared to 3.2% in Bertha.
Demographics
Demographics Oakley vs Bertha provide insight into the diversity of the communities to compare.
| Demographic | Oakley | Bertha |
|---|---|---|
| Black | 8 | Data is updating |
| White | 38 | 95 |
| Asian | 8 | Data is updating |
| Hispanic | 31 | 1 |
| Two or More Races | 14 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Oakley vs Bertha
- A higher percentage of Black residents are in Oakley at 8% compared to 0% in Bertha.
- The percentage of White residents is higher in Bertha at 95% compared to 38% in Oakley.
- The Asian population is larger in Oakley at 8% compared to 0% in Bertha.
- The Hispanic community is larger in Oakley at 31% compared to 1% in Bertha.
- More residents identify as two or more races in Oakley at 14% compared to 4% in Bertha.
- A greater percentage of American Indian residents live in Oakley at 1% compared to 0% in Bertha.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oakley | Bertha |
|---|---|---|
| Mental Health Not Good | 15.8% | 17.1% |
| Physical Health Not Good | 10.9% | 10.8% |
| Depression | 18.5% | 25.8% |
| Smoking | 12.0% | 21.2% |
| Binge Drinking | 17.5% | 19.8% |
| Obesity | 27.3% | 39.4% |
| Disability Percentage | 11.0% | 20.0% |
Health Statistics Comparison: Oakley vs Bertha
- In Bertha, a higher percentage report poor mental health at 17.1% compared to 15.8% in Oakley.
- Higher depression rates are seen in Bertha at 25.8% versus 18.5% in Oakley.
- Bertha has a higher smoking rate at 21.2% compared to 12.0% in Oakley.
- More residents engage in binge drinking in Bertha at 19.8% compared to 17.5% in Oakley.
- Bertha has higher obesity rates at 39.4% compared to 27.3% in Oakley.
- There is a higher percentage of disabled individuals in Bertha at 20.0% compared to 11.0% in Oakley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oakley | Bertha |
|---|---|---|
| No Schooling | 0.8% (374) | 0.0% (Data is updating) |
| High School Diploma | 15.8% (7,057) | 14.8% (82) |
| Less than High School | 12.8% (5,710) | 14.3% (79) |
| Bachelor's Degree and Higher | 14.4% (6,428) | 10.6% (59) |
Education Levels Comparison: Oakley vs Bertha
- A higher percentage of residents in Oakley have no formal schooling at 0.8% compared to 0.0% in Bertha.
- A higher percentage of residents in Oakley hold a high school diploma at 15.8% compared to 14.8% in Bertha.
- The percentage of residents with less than a high school education is higher in Bertha at 14.3%, compared to 12.8% in Oakley.
- A higher percentage of residents in Oakley hold a bachelor's degree or higher at 14.4% compared to 10.6% in Bertha.
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.