Demographics details for Hermosa beach, CA vs Peru, IN
Population Overview
Compare main population characteristics in Hermosa beach, CA vs Peru, IN.
| Data | Hermosa beach | Peru |
|---|---|---|
| Population | 18,985 | 10,828 |
| Median Age | 40.2 years | 41.3 years |
| Median Income | $149,500 | $44,665 |
| Married Families | 42.0% | 34.0% |
| Poverty Level | 7% | 15% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Hermosa beach vs Peru
- In Hermosa beach, the population is higher at 18,985, compared to 10,828 in Peru.
- The median age in Peru is higher at 41.3 years, compared to 40.2 years in Hermosa beach.
- Hermosa beach has a higher median income of $149,500 compared to $44,665 in Peru.
- A higher percentage of married families is found in Hermosa beach at 42.0% compared to 34.0% in Peru.
- The poverty level is higher in Peru at 15%, compared to 7% in Hermosa beach.
- The unemployment rate in Hermosa beach is higher at 3.5%, compared to 3.2% in Peru.
Demographics
Demographics Hermosa beach vs Peru provide insight into the diversity of the communities to compare.
| Demographic | Hermosa beach | Peru |
|---|---|---|
| Black | 1 | 5 |
| White | 67 | 84 |
| Asian | 8 | Data is updating |
| Hispanic | 12 | 4 |
| Two or More Races | 12 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hermosa beach vs Peru
- In Peru, the percentage of Black residents is higher at 5% compared to 1% in Hermosa beach.
- The percentage of White residents is higher in Peru at 84% compared to 67% in Hermosa beach.
- The Asian population is larger in Hermosa beach at 8% compared to 0% in Peru.
- The Hispanic community is larger in Hermosa beach at 12% compared to 4% in Peru.
- More residents identify as two or more races in Hermosa beach at 12% compared to 7% in Peru.
- The percentage of American Indian residents is the same in both Hermosa beach and Peru at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hermosa beach | Peru |
|---|---|---|
| Mental Health Not Good | 12.2% | 20.1% |
| Physical Health Not Good | 6.8% | 14.3% |
| Depression | 16.0% | 28.8% |
| Smoking | 6.0% | 25.7% |
| Binge Drinking | 19.0% | 16.2% |
| Obesity | 22.2% | 39.3% |
| Disability Percentage | 6.0% | 21.0% |
Health Statistics Comparison: Hermosa beach vs Peru
- In Peru, a higher percentage report poor mental health at 20.1% compared to 12.2% in Hermosa beach.
- Higher depression rates are seen in Peru at 28.8% versus 16.0% in Hermosa beach.
- Peru has a higher smoking rate at 25.7% compared to 6.0% in Hermosa beach.
- Binge drinking is more common in Hermosa beach at 19.0% compared to 16.2% in Peru.
- Peru has higher obesity rates at 39.3% compared to 22.2% in Hermosa beach.
- There is a higher percentage of disabled individuals in Peru at 21.0% compared to 6.0% in Hermosa beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hermosa beach | Peru |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.3% (137) |
| High School Diploma | 4.5% (851) | 24.4% (2,642) |
| Less than High School | 1.4% (260) | 17.5% (1,900) |
| Bachelor's Degree and Higher | 61.9% (11,749) | 10.1% (1,098) |
Education Levels Comparison: Hermosa beach vs Peru
- In Peru, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Hermosa beach.
- In Peru, the rate of residents with high school diplomas is higher at 24.4% compared to 4.5% in Hermosa beach.
- The percentage of residents with less than a high school education is higher in Peru at 17.5%, compared to 1.4% in Hermosa beach.
- A higher percentage of residents in Hermosa beach hold a bachelor's degree or higher at 61.9% 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.