Demographics details for Peru, IN vs Bossier city, LA
Population Overview
Compare main population characteristics in Peru, IN vs Bossier city, LA.
| Data | Peru | Bossier city |
|---|---|---|
| Population | 10,828 | 62,635 |
| Median Age | 41.3 years | 35.1 years |
| Median Income | $44,665 | $54,100 |
| Married Families | 34.0% | 35.0% |
| Poverty Level | 15% | 17% |
| Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Peru vs Bossier city
- The population in Bossier city is higher at 62,635, compared to 10,828 in Peru.
- Residents in Peru have a higher median age of 41.3 years compared to 35.1 years in Bossier city.
- Bossier city has a higher median income of $54,100, compared to $44,665 in Peru.
- In Bossier city, the percentage of married families is higher at 35.0%, compared to 34.0% in Peru.
- The poverty level is higher in Bossier city at 17%, compared to 15% in Peru.
- Bossier city has a higher unemployment rate at 4.1% compared to 3.2% in Peru.
Demographics
Demographics Peru vs Bossier city provide insight into the diversity of the communities to compare.
| Demographic | Peru | Bossier city |
|---|---|---|
| Black | 5 | 28 |
| White | 84 | 54 |
| Asian | Data is updating | 2 |
| Hispanic | 4 | 10 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Peru vs Bossier city
- In Bossier city, the percentage of Black residents is higher at 28% compared to 5% in Peru.
- Peru has a higher percentage of White residents at 84% compared to 54% in Bossier city.
- In Bossier city, the Asian population stands at 2%, greater than 0% in Peru.
- Bossier city has a higher percentage of Hispanic residents at 10%, compared to 4% in Peru.
- More residents identify as two or more races in Peru at 7% compared to 6% in Bossier city.
- The percentage of American Indian residents is the same in both Peru and Bossier city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Peru | Bossier city |
|---|---|---|
| Mental Health Not Good | 20.1% | 19.4% |
| Physical Health Not Good | 14.3% | 13.6% |
| Depression | 28.8% | 25.0% |
| Smoking | 25.7% | 21.2% |
| Binge Drinking | 16.2% | 16.9% |
| Obesity | 39.3% | 38.8% |
| Disability Percentage | 21.0% | 14.0% |
Health Statistics Comparison: Peru vs Bossier city
- More residents in Peru report poor mental health at 20.1% compared to 19.4% in Bossier city.
- Depression is more prevalent in Peru at 28.8% compared to 25.0% in Bossier city.
- Smoking is more prevalent in Peru at 25.7% compared to 21.2% in Bossier city.
- More residents engage in binge drinking in Bossier city at 16.9% compared to 16.2% in Peru.
- Obesity rates are higher in Peru at 39.3% compared to 38.8% in Bossier city.
- Disability percentages are higher in Peru at 21.0% compared to 14.0% in Bossier city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Peru | Bossier city |
|---|---|---|
| No Schooling | 1.3% (137) | 0.6% (400) |
| High School Diploma | 24.4% (2,642) | 17.8% (11,155) |
| Less than High School | 17.5% (1,900) | 11.7% (7,331) |
| Bachelor's Degree and Higher | 10.1% (1,098) | 16.1% (10,063) |
Education Levels Comparison: Peru vs Bossier city
- A higher percentage of residents in Peru have no formal schooling at 1.3% compared to 0.6% in Bossier city.
- A higher percentage of residents in Peru hold a high school diploma at 24.4% compared to 17.8% in Bossier city.
- More residents in Peru have less than a high school education at 17.5% compared to 11.7% in Bossier city.
- In Bossier city, a larger share of residents have a bachelor's degree or higher at 16.1% 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.