Demographics details for Piper city, IL vs Winfield, KS
Population Overview
Compare main population characteristics in Piper city, IL vs Winfield, KS.
| Data | Piper city | Winfield |
|---|---|---|
| Population | 729 | 11,701 |
| Median Age | 48.3 years | 37.1 years |
| Median Income | $38,750 | $55,850 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 11% | 11% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Piper city vs Winfield
- The population in Winfield is higher at 11,701, compared to 729 in Piper city.
- Residents in Piper city have a higher median age of 48.3 years compared to 37.1 years in Winfield.
- Winfield has a higher median income of $55,850, compared to $38,750 in Piper city.
- A higher percentage of married families is found in Piper city at 40.0% compared to 34.0% in Winfield.
- The poverty level is identical in both Piper city and Winfield at 11%.
- Winfield has a higher unemployment rate at 3.5% compared to 3.2% in Piper city.
Demographics
Demographics Piper city vs Winfield provide insight into the diversity of the communities to compare.
| Demographic | Piper city | Winfield |
|---|---|---|
| Black | 2 | 3 |
| White | 94 | 79 |
| Asian | Data is updating | 4 |
| Hispanic | 3 | 8 |
| Two or More Races | 1 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Piper city vs Winfield
- In Winfield, the percentage of Black residents is higher at 3% compared to 2% in Piper city.
- Piper city has a higher percentage of White residents at 94% compared to 79% in Winfield.
- In Winfield, the Asian population stands at 4%, greater than 0% in Piper city.
- Winfield has a higher percentage of Hispanic residents at 8%, compared to 3% in Piper city.
- The percentage of residents identifying as two or more races is higher in Winfield at 6%, compared to 1% in Piper city.
- The percentage of American Indian residents is the same in both Piper city and Winfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Piper city | Winfield |
|---|---|---|
| Mental Health Not Good | 17.8% | 17.1% |
| Physical Health Not Good | 12.8% | 11.2% |
| Depression | 23.2% | 22.4% |
| Smoking | 20.6% | 20.5% |
| Binge Drinking | 17.3% | 17.4% |
| Obesity | 38.4% | 40.5% |
| Disability Percentage | 26.0% | 19.0% |
Health Statistics Comparison: Piper city vs Winfield
- More residents in Piper city report poor mental health at 17.8% compared to 17.1% in Winfield.
- Depression is more prevalent in Piper city at 23.2% compared to 22.4% in Winfield.
- Smoking is more prevalent in Piper city at 20.6% compared to 20.5% in Winfield.
- More residents engage in binge drinking in Winfield at 17.4% compared to 17.3% in Piper city.
- Winfield has higher obesity rates at 40.5% compared to 38.4% in Piper city.
- Disability percentages are higher in Piper city at 26.0% compared to 19.0% in Winfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Piper city | Winfield |
|---|---|---|
| No Schooling | 0.1% (1) | 1.5% (173) |
| High School Diploma | 30.3% (221) | 15.9% (1,856) |
| Less than High School | 10.8% (79) | 10.4% (1,217) |
| Bachelor's Degree and Higher | 5.8% (42) | 19.1% (2,232) |
Education Levels Comparison: Piper city vs Winfield
- In Winfield, a larger percentage of residents lack formal schooling at 1.5% compared to 0.1% in Piper city.
- A higher percentage of residents in Piper city hold a high school diploma at 30.3% compared to 15.9% in Winfield.
- More residents in Piper city have less than a high school education at 10.8% compared to 10.4% in Winfield.
- In Winfield, a larger share of residents have a bachelor's degree or higher at 19.1% compared to 5.8% in Piper 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.