Demographics details for Evansville, IN vs Pittsburg, KS
Population Overview
Compare main population characteristics in Evansville, IN vs Pittsburg, KS.
| Data | Evansville | Pittsburg |
|---|---|---|
| Population | 115,749 | 20,658 |
| Median Age | 38.1 years | 25.7 years |
| Median Income | $49,853 | $42,371 |
| Married Families | 33.0% | 28.0% |
| Poverty Level | 13% | 23% |
| Unemployment Rate | 4.4 | 3.1 |
Population Comparison: Evansville vs Pittsburg
- In Evansville, the population is higher at 115,749, compared to 20,658 in Pittsburg.
- Residents in Evansville have a higher median age of 38.1 years compared to 25.7 years in Pittsburg.
- Evansville has a higher median income of $49,853 compared to $42,371 in Pittsburg.
- A higher percentage of married families is found in Evansville at 33.0% compared to 28.0% in Pittsburg.
- The poverty level is higher in Pittsburg at 23%, compared to 13% in Evansville.
- The unemployment rate in Evansville is higher at 4.4%, compared to 3.1% in Pittsburg.
Demographics
Demographics Evansville vs Pittsburg provide insight into the diversity of the communities to compare.
| Demographic | Evansville | Pittsburg |
|---|---|---|
| Black | 14 | 3 |
| White | 76 | 78 |
| Asian | 1 | 3 |
| Hispanic | 4 | 11 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Evansville vs Pittsburg
- A higher percentage of Black residents are in Evansville at 14% compared to 3% in Pittsburg.
- The percentage of White residents is higher in Pittsburg at 78% compared to 76% in Evansville.
- In Pittsburg, the Asian population stands at 3%, greater than 1% in Evansville.
- Pittsburg has a higher percentage of Hispanic residents at 11%, compared to 4% in Evansville.
- Both Evansville 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 Evansville and Pittsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Evansville | Pittsburg |
|---|---|---|
| Mental Health Not Good | 19.5% | 19.3% |
| Physical Health Not Good | 13.8% | 12.5% |
| Depression | 27.6% | 25.0% |
| Smoking | 23.2% | 23.9% |
| Binge Drinking | 15.9% | 19.7% |
| Obesity | 44.3% | 43.5% |
| Disability Percentage | 18.0% | 16.0% |
Health Statistics Comparison: Evansville vs Pittsburg
- More residents in Evansville report poor mental health at 19.5% compared to 19.3% in Pittsburg.
- Depression is more prevalent in Evansville at 27.6% compared to 25.0% in Pittsburg.
- Pittsburg has a higher smoking rate at 23.9% compared to 23.2% in Evansville.
- More residents engage in binge drinking in Pittsburg at 19.7% compared to 15.9% in Evansville.
- Obesity rates are higher in Evansville at 44.3% compared to 43.5% in Pittsburg.
- Disability percentages are higher in Evansville at 18.0% 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 | Evansville | Pittsburg |
|---|---|---|
| No Schooling | 0.8% (939) | 0.7% (150) |
| High School Diploma | 20.0% (23,144) | 13.0% (2,686) |
| Less than High School | 13.6% (15,701) | 5.9% (1,222) |
| Bachelor's Degree and Higher | 15.7% (18,125) | 17.2% (3,562) |
Education Levels Comparison: Evansville vs Pittsburg
- A higher percentage of residents in Evansville have no formal schooling at 0.8% compared to 0.7% in Pittsburg.
- A higher percentage of residents in Evansville hold a high school diploma at 20.0% compared to 13.0% in Pittsburg.
- More residents in Evansville have less than a high school education at 13.6% 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 15.7% in Evansville.
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.