Demographics details for Peru, NY vs Fort smith, AR
Population Overview
Compare main population characteristics in Peru, NY vs Fort smith, AR.
| Data | Peru | Fort smith |
|---|---|---|
| Population | 6,998 | 89,992 |
| Median Age | 41.0 years | 36.4 years |
| Median Income | $73,000 | $50,799 |
| Married Families | 60.0% | 36.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.0 | 3.7 |
Population Comparison: Peru vs Fort smith
- The population in Fort smith is higher at 89,992, compared to 6,998 in Peru.
- Residents in Peru have a higher median age of 41.0 years compared to 36.4 years in Fort smith.
- Peru has a higher median income of $73,000 compared to $50,799 in Fort smith.
- A higher percentage of married families is found in Peru at 60.0% compared to 36.0% in Fort smith.
- The poverty level is higher in Fort smith at 12%, compared to 10% in Peru.
- The unemployment rate in Peru is higher at 4.0%, compared to 3.7% in Fort smith.
Demographics
Demographics Peru vs Fort smith provide insight into the diversity of the communities to compare.
| Demographic | Peru | Fort smith |
|---|---|---|
| Black | 1 | 8 |
| White | 95 | 57 |
| Asian | 1 | 6 |
| Hispanic | 3 | 19 |
| Two or More Races | Data is updating | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Peru vs Fort smith
- In Fort smith, the percentage of Black residents is higher at 8% compared to 1% in Peru.
- Peru has a higher percentage of White residents at 95% compared to 57% in Fort smith.
- In Fort smith, the Asian population stands at 6%, greater than 1% in Peru.
- Fort smith has a higher percentage of Hispanic residents at 19%, compared to 3% in Peru.
- The percentage of residents identifying as two or more races is higher in Fort smith at 9%, compared to 0% in Peru.
- In Fort smith, the percentage of American Indian residents is higher at 1%, compared to 0% in Peru.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Peru | Fort smith |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.6% |
| Physical Health Not Good | Data is updating% | 14.7% |
| Depression | Data is updating% | 27.8% |
| Smoking | Data is updating% | 21.8% |
| Binge Drinking | Data is updating% | 13.2% |
| Obesity | Data is updating% | 39.5% |
| Disability Percentage | Data is updating% | 20.0% |
Health Statistics Comparison: Peru vs Fort smith
- In Fort smith, a higher percentage report poor mental health at 19.6% compared to 0.0% in Peru.
- Higher depression rates are seen in Fort smith at 27.8% versus 0.0% in Peru.
- Fort smith has a higher smoking rate at 21.8% compared to 0.0% in Peru.
- More residents engage in binge drinking in Fort smith at 13.2% compared to 0.0% in Peru.
- Fort smith has higher obesity rates at 39.5% compared to 0.0% in Peru.
- There is a higher percentage of disabled individuals in Fort smith at 20.0% compared to 0.0% in Peru.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Peru | Fort smith |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.3% (2,029) |
| High School Diploma | 0.0% (Data is updating) | 14.8% (13,356) |
| Less than High School | 0.0% (Data is updating) | 19.8% (17,822) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 16.4% (14,745) |
Education Levels Comparison: Peru vs Fort smith
- In Fort smith, a larger percentage of residents lack formal schooling at 2.3% compared to 0.0% in Peru.
- In Fort smith, the rate of residents with high school diplomas is higher at 14.8% compared to 0.0% in Peru.
- The percentage of residents with less than a high school education is higher in Fort smith at 19.8%, compared to 0.0% in Peru.
- In Fort smith, a larger share of residents have a bachelor's degree or higher at 16.4% compared to 0.0% 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.