Demographics details for Peru, IN vs Waddington, NY
Population Overview
Compare main population characteristics in Peru, IN vs Waddington, NY.
Data | Peru | Waddington |
---|---|---|
Population | 10,828 | 2,214 |
Median Age | 41.3 years | 38.0 years |
Median Income | $44,665 | $54,000 |
Married Families | 34.0% | 58.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 3.2 | 3.0 |
Population Comparison: Peru vs Waddington
- In Peru, the population is higher at 10,828, compared to 2,214 in Waddington.
- Residents in Peru have a higher median age of 41.3 years compared to 38.0 years in Waddington.
- Waddington has a higher median income of $54,000, compared to $44,665 in Peru.
- In Waddington, the percentage of married families is higher at 58.0%, compared to 34.0% in Peru.
- Peru has a higher poverty level at 15% compared to 10% in Waddington.
- The unemployment rate in Peru is higher at 3.2%, compared to 3.0% in Waddington.
Demographics
Demographics Peru vs Waddington provide insight into the diversity of the communities to compare.
Demographic | Peru | Waddington |
---|---|---|
Black | 5 | Data is updating |
White | 84 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | Data is updating |
Two or More Races | 7 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Peru vs Waddington
- A higher percentage of Black residents are in Peru at 5% compared to 0% in Waddington.
- The percentage of White residents is higher in Waddington at 100% compared to 84% in Peru.
- Both Peru and Waddington have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Peru at 4% compared to 0% in Waddington.
- More residents identify as two or more races in Peru at 7% compared to 0% in Waddington.
- The percentage of American Indian residents is the same in both Peru and Waddington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Peru | Waddington |
---|---|---|
Mental Health Not Good | 20.1% | Data is updating% |
Physical Health Not Good | 14.3% | Data is updating% |
Depression | 28.8% | Data is updating% |
Smoking | 25.7% | Data is updating% |
Binge Drinking | 16.2% | Data is updating% |
Obesity | 39.3% | Data is updating% |
Disability Percentage | 21.0% | Data is updating% |
Health Statistics Comparison: Peru vs Waddington
- More residents in Peru report poor mental health at 20.1% compared to 0.0% in Waddington.
- Depression is more prevalent in Peru at 28.8% compared to 0.0% in Waddington.
- Smoking is more prevalent in Peru at 25.7% compared to 0.0% in Waddington.
- Binge drinking is more common in Peru at 16.2% compared to 0.0% in Waddington.
- Obesity rates are higher in Peru at 39.3% compared to 0.0% in Waddington.
- Disability percentages are higher in Peru at 21.0% compared to 0.0% in Waddington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Peru | Waddington |
---|---|---|
No Schooling | 1.3% (137) | 0.0% (Data is updating) |
High School Diploma | 24.4% (2,642) | 0.0% (Data is updating) |
Less than High School | 17.5% (1,900) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 10.1% (1,098) | 0.0% (Data is updating) |
Education Levels Comparison: Peru vs Waddington
- A higher percentage of residents in Peru have no formal schooling at 1.3% compared to 0.0% in Waddington.
- A higher percentage of residents in Peru hold a high school diploma at 24.4% compared to 0.0% in Waddington.
- More residents in Peru have less than a high school education at 17.5% compared to 0.0% in Waddington.
- A higher percentage of residents in Peru hold a bachelor's degree or higher at 10.1% compared to 0.0% in Waddington.
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.