Demographics details for Rising star, TX vs Pittsburg, KS
Population Overview
Compare main population characteristics in Rising star, TX vs Pittsburg, KS.
| Data | Rising star | Pittsburg |
|---|---|---|
| Population | 765 | 20,658 |
| Median Age | 44.1 years | 25.7 years |
| Median Income | $32,697 | $42,371 |
| Married Families | 22.0% | 28.0% |
| Poverty Level | 10% | 23% |
| Unemployment Rate | 3.2 | 3.1 |
Population Comparison: Rising star vs Pittsburg
- The population in Pittsburg is higher at 20,658, compared to 765 in Rising star.
- Residents in Rising star have a higher median age of 44.1 years compared to 25.7 years in Pittsburg.
- Pittsburg has a higher median income of $42,371, compared to $32,697 in Rising star.
- In Pittsburg, the percentage of married families is higher at 28.0%, compared to 22.0% in Rising star.
- The poverty level is higher in Pittsburg at 23%, compared to 10% in Rising star.
- The unemployment rate in Rising star is higher at 3.2%, compared to 3.1% in Pittsburg.
Demographics
Demographics Rising star vs Pittsburg provide insight into the diversity of the communities to compare.
| Demographic | Rising star | Pittsburg |
|---|---|---|
| Black | Data is updating | 3 |
| White | 76 | 78 |
| Asian | Data is updating | 3 |
| Hispanic | 18 | 11 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rising star vs Pittsburg
- In Pittsburg, the percentage of Black residents is higher at 3% compared to 0% in Rising star.
- The percentage of White residents is higher in Pittsburg at 78% compared to 76% in Rising star.
- In Pittsburg, the Asian population stands at 3%, greater than 0% in Rising star.
- The Hispanic community is larger in Rising star at 18% compared to 11% in Pittsburg.
- More residents identify as two or more races in Rising star at 6% compared to 5% in Pittsburg.
- The percentage of American Indian residents is the same in both Rising star and Pittsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rising star | Pittsburg |
|---|---|---|
| Mental Health Not Good | 19.3% | 19.3% |
| Physical Health Not Good | 13.0% | 12.5% |
| Depression | 26.6% | 25.0% |
| Smoking | 20.2% | 23.9% |
| Binge Drinking | 18.7% | 19.7% |
| Obesity | 37.0% | 43.5% |
| Disability Percentage | 21.0% | 16.0% |
Health Statistics Comparison: Rising star vs Pittsburg
- Poor mental health levels are equal in both Rising star and Pittsburg at 19.3%.
- Depression is more prevalent in Rising star at 26.6% compared to 25.0% in Pittsburg.
- Pittsburg has a higher smoking rate at 23.9% compared to 20.2% in Rising star.
- More residents engage in binge drinking in Pittsburg at 19.7% compared to 18.7% in Rising star.
- Pittsburg has higher obesity rates at 43.5% compared to 37.0% in Rising star.
- Disability percentages are higher in Rising star 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 | Rising star | Pittsburg |
|---|---|---|
| No Schooling | 1.4% (11) | 0.7% (150) |
| High School Diploma | 14.4% (110) | 13.0% (2,686) |
| Less than High School | 25.1% (192) | 5.9% (1,222) |
| Bachelor's Degree and Higher | 2.0% (15) | 17.2% (3,562) |
Education Levels Comparison: Rising star vs Pittsburg
- A higher percentage of residents in Rising star have no formal schooling at 1.4% compared to 0.7% in Pittsburg.
- A higher percentage of residents in Rising star hold a high school diploma at 14.4% compared to 13.0% in Pittsburg.
- More residents in Rising star have less than a high school education at 25.1% 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 2.0% in Rising star.
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.