Demographics details for Pittsburg, CA vs Midland, TX
Population Overview
Compare main population characteristics in Pittsburg, CA vs Midland, TX.
| Data | Pittsburg | Midland |
|---|---|---|
| Population | 77,572 | 134,444 |
| Median Age | 35.2 years | 31.4 years |
| Median Income | $98,408 | $90,448 |
| Married Families | 37.0% | 40.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 5.3 | 2.9 |
Population Comparison: Pittsburg vs Midland
- The population in Midland is higher at 134,444, compared to 77,572 in Pittsburg.
- Residents in Pittsburg have a higher median age of 35.2 years compared to 31.4 years in Midland.
- Pittsburg has a higher median income of $98,408 compared to $90,448 in Midland.
- In Midland, the percentage of married families is higher at 40.0%, compared to 37.0% in Pittsburg.
- The poverty level is higher in Midland at 12%, compared to 0% in Pittsburg.
- The unemployment rate in Pittsburg is higher at 5.3%, compared to 2.9% in Midland.
Demographics
Demographics Pittsburg vs Midland provide insight into the diversity of the communities to compare.
| Demographic | Pittsburg | Midland |
|---|---|---|
| Black | 15 | 8 |
| White | 9 | 29 |
| Asian | 18 | 2 |
| Hispanic | 43 | 45 |
| Two or More Races | 14 | 15 |
| American Indian | 1 | 1 |
Demographics Comparison: Pittsburg vs Midland
- A higher percentage of Black residents are in Pittsburg at 15% compared to 8% in Midland.
- The percentage of White residents is higher in Midland at 29% compared to 9% in Pittsburg.
- The Asian population is larger in Pittsburg at 18% compared to 2% in Midland.
- Midland has a higher percentage of Hispanic residents at 45%, compared to 43% in Pittsburg.
- The percentage of residents identifying as two or more races is higher in Midland at 15%, compared to 14% in Pittsburg.
- The percentage of American Indian residents is the same in both Pittsburg and Midland at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburg | Midland |
|---|---|---|
| Mental Health Not Good | 15.8% | 16.1% |
| Physical Health Not Good | 11.8% | 11.1% |
| Depression | 16.7% | 21.4% |
| Smoking | 12.7% | 15.0% |
| Binge Drinking | 15.0% | 18.6% |
| Obesity | 28.4% | 35.3% |
| Disability Percentage | 13.0% | 9.0% |
Health Statistics Comparison: Pittsburg vs Midland
- In Midland, a higher percentage report poor mental health at 16.1% compared to 15.8% in Pittsburg.
- Higher depression rates are seen in Midland at 21.4% versus 16.7% in Pittsburg.
- Midland has a higher smoking rate at 15.0% compared to 12.7% in Pittsburg.
- More residents engage in binge drinking in Midland at 18.6% compared to 15.0% in Pittsburg.
- Midland has higher obesity rates at 35.3% compared to 28.4% in Pittsburg.
- Disability percentages are higher in Pittsburg at 13.0% compared to 9.0% in Midland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburg | Midland |
|---|---|---|
| No Schooling | 3.1% (2,439) | 2.8% (3,705) |
| High School Diploma | 14.5% (11,263) | 10.2% (13,724) |
| Less than High School | 23.3% (18,048) | 17.6% (23,705) |
| Bachelor's Degree and Higher | 14.8% (11,476) | 19.5% (26,213) |
Education Levels Comparison: Pittsburg vs Midland
- A higher percentage of residents in Pittsburg have no formal schooling at 3.1% compared to 2.8% in Midland.
- A higher percentage of residents in Pittsburg hold a high school diploma at 14.5% compared to 10.2% in Midland.
- More residents in Pittsburg have less than a high school education at 23.3% compared to 17.6% in Midland.
- In Midland, a larger share of residents have a bachelor's degree or higher at 19.5% compared to 14.8% in Pittsburg.
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.