Demographics details for Pittsburg, CA vs Dimmitt, TX
Population Overview
Compare main population characteristics in Pittsburg, CA vs Dimmitt, TX.
| Data | Pittsburg | Dimmitt |
|---|---|---|
| Population | 77,572 | 4,118 |
| Median Age | 35.2 years | 31.0 years |
| Median Income | $98,408 | $64,848 |
| Married Families | 37.0% | 37.0% |
| Poverty Level | Data is updating | 13% |
| Unemployment Rate | 5.3 | 3.9 |
Population Comparison: Pittsburg vs Dimmitt
- In Pittsburg, the population is higher at 77,572, compared to 4,118 in Dimmitt.
- Residents in Pittsburg have a higher median age of 35.2 years compared to 31.0 years in Dimmitt.
- Pittsburg has a higher median income of $98,408 compared to $64,848 in Dimmitt.
- The percentage of married families is the same in both Pittsburg and Dimmitt at 37.0%.
- The poverty level is higher in Dimmitt at 13%, compared to 0% in Pittsburg.
- The unemployment rate in Pittsburg is higher at 5.3%, compared to 3.9% in Dimmitt.
Demographics
Demographics Pittsburg vs Dimmitt provide insight into the diversity of the communities to compare.
| Demographic | Pittsburg | Dimmitt |
|---|---|---|
| Black | 15 | 1 |
| White | 9 | -5 |
| Asian | 18 | 1 |
| Hispanic | 43 | 76 |
| Two or More Races | 14 | 26 |
| American Indian | 1 | 1 |
Demographics Comparison: Pittsburg vs Dimmitt
- A higher percentage of Black residents are in Pittsburg at 15% compared to 1% in Dimmitt.
- Pittsburg has a higher percentage of White residents at 9% compared to -5% in Dimmitt.
- The Asian population is larger in Pittsburg at 18% compared to 1% in Dimmitt.
- Dimmitt has a higher percentage of Hispanic residents at 76%, compared to 43% in Pittsburg.
- The percentage of residents identifying as two or more races is higher in Dimmitt at 26%, compared to 14% in Pittsburg.
- The percentage of American Indian residents is the same in both Pittsburg and Dimmitt at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburg | Dimmitt |
|---|---|---|
| Mental Health Not Good | 15.8% | 16.9% |
| Physical Health Not Good | 11.8% | 13.2% |
| Depression | 16.7% | 21.6% |
| Smoking | 12.7% | 16.5% |
| Binge Drinking | 15.0% | 17.5% |
| Obesity | 28.4% | 38.5% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Pittsburg vs Dimmitt
- In Dimmitt, a higher percentage report poor mental health at 16.9% compared to 15.8% in Pittsburg.
- Higher depression rates are seen in Dimmitt at 21.6% versus 16.7% in Pittsburg.
- Dimmitt has a higher smoking rate at 16.5% compared to 12.7% in Pittsburg.
- More residents engage in binge drinking in Dimmitt at 17.5% compared to 15.0% in Pittsburg.
- Dimmitt has higher obesity rates at 38.5% compared to 28.4% in Pittsburg.
- Disability percentages are higher in Pittsburg at 13.0% compared to 12.0% in Dimmitt.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburg | Dimmitt |
|---|---|---|
| No Schooling | 3.1% (2,439) | 1.1% (45) |
| High School Diploma | 14.5% (11,263) | 15.7% (647) |
| Less than High School | 23.3% (18,048) | 27.0% (1,112) |
| Bachelor's Degree and Higher | 14.8% (11,476) | 13.9% (571) |
Education Levels Comparison: Pittsburg vs Dimmitt
- A higher percentage of residents in Pittsburg have no formal schooling at 3.1% compared to 1.1% in Dimmitt.
- In Dimmitt, the rate of residents with high school diplomas is higher at 15.7% compared to 14.5% in Pittsburg.
- The percentage of residents with less than a high school education is higher in Dimmitt at 27.0%, 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 13.9% in Dimmitt.
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.