Demographics details for Walnut bottom, PA vs Peru, NY
Population Overview
Compare main population characteristics in Walnut bottom, PA vs Peru, NY.
| Data | Walnut bottom | Peru |
|---|---|---|
| Population | 422 | 6,998 |
| Median Age | 37.0 years | 41.0 years |
| Median Income | $55,000 | $73,000 |
| Married Families | 50.0% | 60.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Walnut bottom vs Peru
- The population in Peru is higher at 6,998, compared to 422 in Walnut bottom.
- The median age in Peru is higher at 41.0 years, compared to 37.0 years in Walnut bottom.
- Peru has a higher median income of $73,000, compared to $55,000 in Walnut bottom.
- In Peru, the percentage of married families is higher at 60.0%, compared to 50.0% in Walnut bottom.
- The poverty level is identical in both Walnut bottom and Peru at 10%.
- The unemployment rate in Walnut bottom is higher at 4.5%, compared to 4.0% in Peru.
Demographics
Demographics Walnut bottom vs Peru provide insight into the diversity of the communities to compare.
| Demographic | Walnut bottom | Peru |
|---|---|---|
| Black | 1 | 1 |
| White | 98 | 95 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 3 |
| Two or More Races | Data is updating | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Walnut bottom vs Peru
- The percentage of Black residents is the same in both Walnut bottom and Peru at 1%.
- Walnut bottom has a higher percentage of White residents at 98% compared to 95% in Peru.
- In Peru, the Asian population stands at 1%, greater than 0% in Walnut bottom.
- Peru has a higher percentage of Hispanic residents at 3%, compared to 1% in Walnut bottom.
- Both Walnut bottom and Peru have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Walnut bottom and Peru at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Walnut bottom | Peru |
|---|---|---|
| Mental Health Not Good | Data is updating% | Data is updating% |
| Physical Health Not Good | Data is updating% | Data is updating% |
| Depression | Data is updating% | Data is updating% |
| Smoking | Data is updating% | Data is updating% |
| Binge Drinking | Data is updating% | Data is updating% |
| Obesity | Data is updating% | Data is updating% |
| Disability Percentage | Data is updating% | Data is updating% |
Health Statistics Comparison: Walnut bottom vs Peru
- Poor mental health levels are equal in both Walnut bottom and Peru at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Walnut bottom and Peru at 0.0%.
- Binge drinking rates are similar in both Walnut bottom and Peru at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are the same in both Walnut bottom and Peru at 0.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Walnut bottom | Peru |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Less than High School | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 0.0% (Data is updating) |
Education Levels Comparison: Walnut bottom vs Peru
- The percentage of residents with no formal schooling is the same in both Walnut bottom and Peru at 0.0%.
- Both cities have the same percentage of residents with high school diplomas at 0.0%.
- Both cities report the same percentage of residents with less than a high school education at 0.0%.
- The percentage of residents with a bachelor's degree or higher is identical in both Walnut bottom and Peru at 0.0%.
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.