Demographics details for Olla, LA vs Pittsburg, CA
Population Overview
Compare main population characteristics in Olla, LA vs Pittsburg, CA.
| Data | Olla | Pittsburg |
|---|---|---|
| Population | 1,617 | 77,572 |
| Median Age | 35.0 years | 35.2 years |
| Median Income | $45,000 | $98,408 |
| Married Families | 200.0% | 37.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.0 | 5.3 |
Population Comparison: Olla vs Pittsburg
- The population in Pittsburg is higher at 77,572, compared to 1,617 in Olla.
- The median age in Pittsburg is higher at 35.2 years, compared to 35.0 years in Olla.
- Pittsburg has a higher median income of $98,408, compared to $45,000 in Olla.
- A higher percentage of married families is found in Olla at 200.0% compared to 37.0% in Pittsburg.
- Olla has a higher poverty level at 12% compared to 0% in Pittsburg.
- Pittsburg has a higher unemployment rate at 5.3% compared to 3.0% in Olla.
Demographics
Demographics Olla vs Pittsburg provide insight into the diversity of the communities to compare.
| Demographic | Olla | Pittsburg |
|---|---|---|
| Black | 20 | 15 |
| White | 70 | 9 |
| Asian | 5 | 18 |
| Hispanic | 5 | 43 |
| Two or More Races | Data is updating | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Olla vs Pittsburg
- A higher percentage of Black residents are in Olla at 20% compared to 15% in Pittsburg.
- Olla has a higher percentage of White residents at 70% compared to 9% in Pittsburg.
- In Pittsburg, the Asian population stands at 18%, greater than 5% in Olla.
- Pittsburg has a higher percentage of Hispanic residents at 43%, compared to 5% in Olla.
- The percentage of residents identifying as two or more races is higher in Pittsburg at 14%, compared to 0% in Olla.
- In Pittsburg, the percentage of American Indian residents is higher at 1%, compared to 0% in Olla.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Olla | Pittsburg |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.8% |
| Physical Health Not Good | Data is updating% | 11.8% |
| Depression | Data is updating% | 16.7% |
| Smoking | Data is updating% | 12.7% |
| Binge Drinking | Data is updating% | 15.0% |
| Obesity | Data is updating% | 28.4% |
| Disability Percentage | Data is updating% | 13.0% |
Health Statistics Comparison: Olla vs Pittsburg
- In Pittsburg, a higher percentage report poor mental health at 15.8% compared to 0.0% in Olla.
- Higher depression rates are seen in Pittsburg at 16.7% versus 0.0% in Olla.
- Pittsburg has a higher smoking rate at 12.7% compared to 0.0% in Olla.
- More residents engage in binge drinking in Pittsburg at 15.0% compared to 0.0% in Olla.
- Pittsburg has higher obesity rates at 28.4% compared to 0.0% in Olla.
- There is a higher percentage of disabled individuals in Pittsburg at 13.0% compared to 0.0% in Olla.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Olla | Pittsburg |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.1% (2,439) |
| High School Diploma | 0.0% (Data is updating) | 14.5% (11,263) |
| Less than High School | 0.0% (Data is updating) | 23.3% (18,048) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 14.8% (11,476) |
Education Levels Comparison: Olla vs Pittsburg
- In Pittsburg, a larger percentage of residents lack formal schooling at 3.1% compared to 0.0% in Olla.
- In Pittsburg, the rate of residents with high school diplomas is higher at 14.5% compared to 0.0% in Olla.
- The percentage of residents with less than a high school education is higher in Pittsburg at 23.3%, compared to 0.0% in Olla.
- In Pittsburg, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 0.0% in Olla.
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.