Demographics details for Pittsburg, KS vs Eau claire, WI
Population Overview
Compare main population characteristics in Pittsburg, KS vs Eau claire, WI.
| Data | Pittsburg | Eau claire |
|---|---|---|
| Population | 20,658 | 69,737 |
| Median Age | 25.7 years | 32.8 years |
| Median Income | $42,371 | $63,882 |
| Married Families | 28.0% | 34.0% |
| Poverty Level | 23% | 10% |
| Unemployment Rate | 3.1 | 3.0 |
Population Comparison: Pittsburg vs Eau claire
- The population in Eau claire is higher at 69,737, compared to 20,658 in Pittsburg.
- The median age in Eau claire is higher at 32.8 years, compared to 25.7 years in Pittsburg.
- Eau claire has a higher median income of $63,882, compared to $42,371 in Pittsburg.
- In Eau claire, the percentage of married families is higher at 34.0%, compared to 28.0% in Pittsburg.
- Pittsburg has a higher poverty level at 23% compared to 10% in Eau claire.
- The unemployment rate in Pittsburg is higher at 3.1%, compared to 3.0% in Eau claire.
Demographics
Demographics Pittsburg vs Eau claire provide insight into the diversity of the communities to compare.
| Demographic | Pittsburg | Eau claire |
|---|---|---|
| Black | 3 | 1 |
| White | 78 | 86 |
| Asian | 3 | 6 |
| Hispanic | 11 | 3 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsburg vs Eau claire
- A higher percentage of Black residents are in Pittsburg at 3% compared to 1% in Eau claire.
- The percentage of White residents is higher in Eau claire at 86% compared to 78% in Pittsburg.
- In Eau claire, the Asian population stands at 6%, greater than 3% in Pittsburg.
- The Hispanic community is larger in Pittsburg at 11% compared to 3% in Eau claire.
- More residents identify as two or more races in Pittsburg at 5% compared to 4% in Eau claire.
- The percentage of American Indian residents is the same in both Pittsburg and Eau claire at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburg | Eau claire |
|---|---|---|
| Mental Health Not Good | 19.3% | 15.3% |
| Physical Health Not Good | 12.5% | 9.8% |
| Depression | 25.0% | 23.6% |
| Smoking | 23.9% | 15.2% |
| Binge Drinking | 19.7% | 24.8% |
| Obesity | 43.5% | 32.2% |
| Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Pittsburg vs Eau claire
- More residents in Pittsburg report poor mental health at 19.3% compared to 15.3% in Eau claire.
- Depression is more prevalent in Pittsburg at 25.0% compared to 23.6% in Eau claire.
- Smoking is more prevalent in Pittsburg at 23.9% compared to 15.2% in Eau claire.
- More residents engage in binge drinking in Eau claire at 24.8% compared to 19.7% in Pittsburg.
- Obesity rates are higher in Pittsburg at 43.5% compared to 32.2% in Eau claire.
- Disability percentages are higher in Pittsburg at 16.0% compared to 13.0% in Eau claire.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburg | Eau claire |
|---|---|---|
| No Schooling | 0.7% (150) | 0.5% (340) |
| High School Diploma | 13.0% (2,686) | 14.2% (9,934) |
| Less than High School | 5.9% (1,222) | 3.7% (2,573) |
| Bachelor's Degree and Higher | 17.2% (3,562) | 21.6% (15,073) |
Education Levels Comparison: Pittsburg vs Eau claire
- A higher percentage of residents in Pittsburg have no formal schooling at 0.7% compared to 0.5% in Eau claire.
- In Eau claire, the rate of residents with high school diplomas is higher at 14.2% compared to 13.0% in Pittsburg.
- More residents in Pittsburg have less than a high school education at 5.9% compared to 3.7% in Eau claire.
- In Eau claire, a larger share of residents have a bachelor's degree or higher at 21.6% 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.