Demographics details for Pittsburg, CA vs Mount orab, OH
Population Overview
Compare main population characteristics in Pittsburg, CA vs Mount orab, OH.
| Data | Pittsburg | Mount orab |
|---|---|---|
| Population | 77,572 | 4,337 |
| Median Age | 35.2 years | 30.4 years |
| Median Income | $98,408 | $62,833 |
| Married Families | 37.0% | 37.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 5.3 | 4.5 |
Population Comparison: Pittsburg vs Mount orab
- In Pittsburg, the population is higher at 77,572, compared to 4,337 in Mount orab.
- Residents in Pittsburg have a higher median age of 35.2 years compared to 30.4 years in Mount orab.
- Pittsburg has a higher median income of $98,408 compared to $62,833 in Mount orab.
- The percentage of married families is the same in both Pittsburg and Mount orab at 37.0%.
- The poverty level is higher in Mount orab at 10%, compared to 0% in Pittsburg.
- The unemployment rate in Pittsburg is higher at 5.3%, compared to 4.5% in Mount orab.
Demographics
Demographics Pittsburg vs Mount orab provide insight into the diversity of the communities to compare.
| Demographic | Pittsburg | Mount orab |
|---|---|---|
| Black | 15 | 1 |
| White | 9 | 98 |
| Asian | 18 | Data is updating |
| Hispanic | 43 | Data is updating |
| Two or More Races | 14 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pittsburg vs Mount orab
- A higher percentage of Black residents are in Pittsburg at 15% compared to 1% in Mount orab.
- The percentage of White residents is higher in Mount orab at 98% compared to 9% in Pittsburg.
- The Asian population is larger in Pittsburg at 18% compared to 0% in Mount orab.
- The Hispanic community is larger in Pittsburg at 43% compared to 0% in Mount orab.
- More residents identify as two or more races in Pittsburg at 14% compared to 1% in Mount orab.
- A greater percentage of American Indian residents live in Pittsburg at 1% compared to 0% in Mount orab.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburg | Mount orab |
|---|---|---|
| Mental Health Not Good | 15.8% | 18.3% |
| Physical Health Not Good | 11.8% | 12.8% |
| Depression | 16.7% | 25.7% |
| Smoking | 12.7% | 22.9% |
| Binge Drinking | 15.0% | 18.6% |
| Obesity | 28.4% | 42.0% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Pittsburg vs Mount orab
- In Mount orab, a higher percentage report poor mental health at 18.3% compared to 15.8% in Pittsburg.
- Higher depression rates are seen in Mount orab at 25.7% versus 16.7% in Pittsburg.
- Mount orab has a higher smoking rate at 22.9% compared to 12.7% in Pittsburg.
- More residents engage in binge drinking in Mount orab at 18.6% compared to 15.0% in Pittsburg.
- Mount orab has higher obesity rates at 42.0% compared to 28.4% in Pittsburg.
- There is a higher percentage of disabled individuals in Mount orab at 16.0% compared to 13.0% in Pittsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburg | Mount orab |
|---|---|---|
| No Schooling | 3.1% (2,439) | 0.8% (36) |
| High School Diploma | 14.5% (11,263) | 23.9% (1,037) |
| Less than High School | 23.3% (18,048) | 25.7% (1,116) |
| Bachelor's Degree and Higher | 14.8% (11,476) | 11.0% (479) |
Education Levels Comparison: Pittsburg vs Mount orab
- A higher percentage of residents in Pittsburg have no formal schooling at 3.1% compared to 0.8% in Mount orab.
- In Mount orab, the rate of residents with high school diplomas is higher at 23.9% compared to 14.5% in Pittsburg.
- The percentage of residents with less than a high school education is higher in Mount orab at 25.7%, compared to 23.3% in Pittsburg.
- A higher percentage of residents in Pittsburg hold a bachelor's degree or higher at 14.8% compared to 11.0% in Mount orab.
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.