Demographics details for Pittsburg, KS vs Buda, TX
Population Overview
Compare main population characteristics in Pittsburg, KS vs Buda, TX.
| Data | Pittsburg | Buda |
|---|---|---|
| Population | 20,658 | 16,086 |
| Median Age | 25.7 years | 36.8 years |
| Median Income | $42,371 | $105,378 |
| Married Families | 28.0% | 44.0% |
| Poverty Level | 23% | 5% |
| Unemployment Rate | 3.1 | 3.2 |
Population Comparison: Pittsburg vs Buda
- In Pittsburg, the population is higher at 20,658, compared to 16,086 in Buda.
- The median age in Buda is higher at 36.8 years, compared to 25.7 years in Pittsburg.
- Buda has a higher median income of $105,378, compared to $42,371 in Pittsburg.
- In Buda, the percentage of married families is higher at 44.0%, compared to 28.0% in Pittsburg.
- Pittsburg has a higher poverty level at 23% compared to 5% in Buda.
- Buda has a higher unemployment rate at 3.2% compared to 3.1% in Pittsburg.
Demographics
Demographics Pittsburg vs Buda provide insight into the diversity of the communities to compare.
| Demographic | Pittsburg | Buda |
|---|---|---|
| Black | 3 | 1 |
| White | 78 | 59 |
| Asian | 3 | Data is updating |
| Hispanic | 11 | 30 |
| Two or More Races | 5 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsburg vs Buda
- A higher percentage of Black residents are in Pittsburg at 3% compared to 1% in Buda.
- Pittsburg has a higher percentage of White residents at 78% compared to 59% in Buda.
- The Asian population is larger in Pittsburg at 3% compared to 0% in Buda.
- Buda has a higher percentage of Hispanic residents at 30%, compared to 11% in Pittsburg.
- The percentage of residents identifying as two or more races is higher in Buda at 10%, compared to 5% in Pittsburg.
- The percentage of American Indian residents is the same in both Pittsburg and Buda at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburg | Buda |
|---|---|---|
| Mental Health Not Good | 19.3% | 14.6% |
| Physical Health Not Good | 12.5% | 8.8% |
| Depression | 25.0% | 20.5% |
| Smoking | 23.9% | 11.4% |
| Binge Drinking | 19.7% | 20.1% |
| Obesity | 43.5% | 27.5% |
| Disability Percentage | 16.0% | 8.0% |
Health Statistics Comparison: Pittsburg vs Buda
- More residents in Pittsburg report poor mental health at 19.3% compared to 14.6% in Buda.
- Depression is more prevalent in Pittsburg at 25.0% compared to 20.5% in Buda.
- Smoking is more prevalent in Pittsburg at 23.9% compared to 11.4% in Buda.
- More residents engage in binge drinking in Buda at 20.1% compared to 19.7% in Pittsburg.
- Obesity rates are higher in Pittsburg at 43.5% compared to 27.5% in Buda.
- Disability percentages are higher in Pittsburg at 16.0% compared to 8.0% in Buda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburg | Buda |
|---|---|---|
| No Schooling | 0.7% (150) | 0.3% (49) |
| High School Diploma | 13.0% (2,686) | 10.4% (1,668) |
| Less than High School | 5.9% (1,222) | 3.3% (532) |
| Bachelor's Degree and Higher | 17.2% (3,562) | 30.8% (4,960) |
Education Levels Comparison: Pittsburg vs Buda
- A higher percentage of residents in Pittsburg have no formal schooling at 0.7% compared to 0.3% in Buda.
- A higher percentage of residents in Pittsburg hold a high school diploma at 13.0% compared to 10.4% in Buda.
- More residents in Pittsburg have less than a high school education at 5.9% compared to 3.3% in Buda.
- In Buda, a larger share of residents have a bachelor's degree or higher at 30.8% compared to 17.2% 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.