Demographics details for Union city, PA vs Pittsburg, KS
Population Overview
Compare main population characteristics in Union city, PA vs Pittsburg, KS.
| Data | Union city | Pittsburg |
|---|---|---|
| Population | 2,887 | 20,658 |
| Median Age | 46.6 years | 25.7 years |
| Median Income | $41,764 | $42,371 |
| Married Families | 40.0% | 28.0% |
| Poverty Level | 12% | 23% |
| Unemployment Rate | 5.2 | 3.1 |
Population Comparison: Union city vs Pittsburg
- The population in Pittsburg is higher at 20,658, compared to 2,887 in Union city.
- Residents in Union city have a higher median age of 46.6 years compared to 25.7 years in Pittsburg.
- Pittsburg has a higher median income of $42,371, compared to $41,764 in Union city.
- A higher percentage of married families is found in Union city at 40.0% compared to 28.0% in Pittsburg.
- The poverty level is higher in Pittsburg at 23%, compared to 12% in Union city.
- The unemployment rate in Union city is higher at 5.2%, compared to 3.1% in Pittsburg.
Demographics
Demographics Union city vs Pittsburg provide insight into the diversity of the communities to compare.
| Demographic | Union city | Pittsburg |
|---|---|---|
| Black | Data is updating | 3 |
| White | 91 | 78 |
| Asian | Data is updating | 3 |
| Hispanic | 4 | 11 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Union city vs Pittsburg
- In Pittsburg, the percentage of Black residents is higher at 3% compared to 0% in Union city.
- Union city has a higher percentage of White residents at 91% compared to 78% in Pittsburg.
- In Pittsburg, the Asian population stands at 3%, greater than 0% in Union city.
- Pittsburg has a higher percentage of Hispanic residents at 11%, compared to 4% in Union city.
- Both Union city and Pittsburg have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Union city and Pittsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Union city | Pittsburg |
|---|---|---|
| Mental Health Not Good | 19.6% | 19.3% |
| Physical Health Not Good | 14.5% | 12.5% |
| Depression | 24.6% | 25.0% |
| Smoking | 25.3% | 23.9% |
| Binge Drinking | 17.8% | 19.7% |
| Obesity | 39.2% | 43.5% |
| Disability Percentage | 21.0% | 16.0% |
Health Statistics Comparison: Union city vs Pittsburg
- More residents in Union city report poor mental health at 19.6% compared to 19.3% in Pittsburg.
- Higher depression rates are seen in Pittsburg at 25.0% versus 24.6% in Union city.
- Smoking is more prevalent in Union city at 25.3% compared to 23.9% in Pittsburg.
- More residents engage in binge drinking in Pittsburg at 19.7% compared to 17.8% in Union city.
- Pittsburg has higher obesity rates at 43.5% compared to 39.2% in Union city.
- Disability percentages are higher in Union city at 21.0% compared to 16.0% in Pittsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Union city | Pittsburg |
|---|---|---|
| No Schooling | 0.3% (9) | 0.7% (150) |
| High School Diploma | 42.5% (1,226) | 13.0% (2,686) |
| Less than High School | 16.5% (476) | 5.9% (1,222) |
| Bachelor's Degree and Higher | 8.2% (237) | 17.2% (3,562) |
Education Levels Comparison: Union city vs Pittsburg
- In Pittsburg, a larger percentage of residents lack formal schooling at 0.7% compared to 0.3% in Union city.
- A higher percentage of residents in Union city hold a high school diploma at 42.5% compared to 13.0% in Pittsburg.
- More residents in Union city have less than a high school education at 16.5% compared to 5.9% in Pittsburg.
- In Pittsburg, a larger share of residents have a bachelor's degree or higher at 17.2% compared to 8.2% in Union city.
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.