Demographics details for Peru, IN vs Williams bay, WI
Population Overview
Compare main population characteristics in Peru, IN vs Williams bay, WI.
| Data | Peru | Williams bay |
|---|---|---|
| Population | 10,828 | 2,969 |
| Median Age | 41.3 years | 48.2 years |
| Median Income | $44,665 | $71,250 |
| Married Families | 34.0% | 43.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 3.2 | 3.0 |
Population Comparison: Peru vs Williams bay
- In Peru, the population is higher at 10,828, compared to 2,969 in Williams bay.
- The median age in Williams bay is higher at 48.2 years, compared to 41.3 years in Peru.
- Williams bay has a higher median income of $71,250, compared to $44,665 in Peru.
- In Williams bay, the percentage of married families is higher at 43.0%, compared to 34.0% in Peru.
- Peru has a higher poverty level at 15% compared to 0% in Williams bay.
- The unemployment rate in Peru is higher at 3.2%, compared to 3.0% in Williams bay.
Demographics
Demographics Peru vs Williams bay provide insight into the diversity of the communities to compare.
| Demographic | Peru | Williams bay |
|---|---|---|
| Black | 5 | Data is updating |
| White | 84 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 8 |
| Two or More Races | 7 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Peru vs Williams bay
- A higher percentage of Black residents are in Peru at 5% compared to 0% in Williams bay.
- The percentage of White residents is higher in Williams bay at 91% compared to 84% in Peru.
- Both Peru and Williams bay have the same percentage of Asian residents at 0%.
- Williams bay has a higher percentage of Hispanic residents at 8%, compared to 4% in Peru.
- More residents identify as two or more races in Peru at 7% compared to 1% in Williams bay.
- The percentage of American Indian residents is the same in both Peru and Williams bay at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Peru | Williams bay |
|---|---|---|
| Mental Health Not Good | 20.1% | 14.3% |
| Physical Health Not Good | 14.3% | 9.1% |
| Depression | 28.8% | 22.8% |
| Smoking | 25.7% | 13.3% |
| Binge Drinking | 16.2% | 24.1% |
| Obesity | 39.3% | 36.4% |
| Disability Percentage | 21.0% | 19.0% |
Health Statistics Comparison: Peru vs Williams bay
- More residents in Peru report poor mental health at 20.1% compared to 14.3% in Williams bay.
- Depression is more prevalent in Peru at 28.8% compared to 22.8% in Williams bay.
- Smoking is more prevalent in Peru at 25.7% compared to 13.3% in Williams bay.
- More residents engage in binge drinking in Williams bay at 24.1% compared to 16.2% in Peru.
- Obesity rates are higher in Peru at 39.3% compared to 36.4% in Williams bay.
- Disability percentages are higher in Peru at 21.0% compared to 19.0% in Williams bay.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Peru | Williams bay |
|---|---|---|
| No Schooling | 1.3% (137) | 0.3% (9) |
| High School Diploma | 24.4% (2,642) | 11.6% (345) |
| Less than High School | 17.5% (1,900) | 1.4% (43) |
| Bachelor's Degree and Higher | 10.1% (1,098) | 34.6% (1,028) |
Education Levels Comparison: Peru vs Williams bay
- A higher percentage of residents in Peru have no formal schooling at 1.3% compared to 0.3% in Williams bay.
- A higher percentage of residents in Peru hold a high school diploma at 24.4% compared to 11.6% in Williams bay.
- More residents in Peru have less than a high school education at 17.5% compared to 1.4% in Williams bay.
- In Williams bay, a larger share of residents have a bachelor's degree or higher at 34.6% compared to 10.1% in Peru.
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.