Demographics details for Peru, IN vs West helena, AR
Population Overview
Compare main population characteristics in Peru, IN vs West helena, AR.
Data | Peru | West helena |
---|---|---|
Population | 10,828 | 8,689 |
Median Age | 41.3 years | 32.0 years |
Median Income | $44,665 | $38,500 |
Married Families | 34.0% | 32.0% |
Poverty Level | 15% | 26% |
Unemployment Rate | 3.2 | 5.1 |
Population Comparison: Peru vs West helena
- In Peru, the population is higher at 10,828, compared to 8,689 in West helena.
- Residents in Peru have a higher median age of 41.3 years compared to 32.0 years in West helena.
- Peru has a higher median income of $44,665 compared to $38,500 in West helena.
- A higher percentage of married families is found in Peru at 34.0% compared to 32.0% in West helena.
- The poverty level is higher in West helena at 26%, compared to 15% in Peru.
- West helena has a higher unemployment rate at 5.1% compared to 3.2% in Peru.
Demographics
Demographics Peru vs West helena provide insight into the diversity of the communities to compare.
Demographic | Peru | West helena |
---|---|---|
Black | 5 | 66 |
White | 84 | 33 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 1 |
Two or More Races | 7 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Peru vs West helena
- In West helena, the percentage of Black residents is higher at 66% compared to 5% in Peru.
- Peru has a higher percentage of White residents at 84% compared to 33% in West helena.
- Both Peru and West helena have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Peru at 4% compared to 1% in West helena.
- More residents identify as two or more races in Peru at 7% compared to 0% in West helena.
- The percentage of American Indian residents is the same in both Peru and West helena at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Peru | West helena |
---|---|---|
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 West helena
- More residents in Peru report poor mental health at 20.1% compared to 0.0% in West helena.
- Depression is more prevalent in Peru at 28.8% compared to 0.0% in West helena.
- Smoking is more prevalent in Peru at 25.7% compared to 0.0% in West helena.
- Binge drinking is more common in Peru at 16.2% compared to 0.0% in West helena.
- Obesity rates are higher in Peru at 39.3% compared to 0.0% in West helena.
- Disability percentages are higher in Peru at 21.0% compared to 0.0% in West helena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Peru | West helena |
---|---|---|
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 West helena
- A higher percentage of residents in Peru have no formal schooling at 1.3% compared to 0.0% in West helena.
- A higher percentage of residents in Peru hold a high school diploma at 24.4% compared to 0.0% in West helena.
- More residents in Peru have less than a high school education at 17.5% compared to 0.0% in West helena.
- A higher percentage of residents in Peru hold a bachelor's degree or higher at 10.1% compared to 0.0% in West helena.
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.