Demographics details for Incline village, NV vs Peoria, AZ
Population Overview
Compare main population characteristics in Incline village, NV vs Peoria, AZ.
| Data | Incline village | Peoria |
|---|---|---|
| Population | 9,163 | 197,866 |
| Median Age | 48.8 years | 41.4 years |
| Median Income | $155,195 | $86,759 |
| Married Families | 54.0% | 43.0% |
| Poverty Level | Data is updating | 8% |
| Unemployment Rate | 5.2 | 3.3 |
Population Comparison: Incline village vs Peoria
- The population in Peoria is higher at 197,866, compared to 9,163 in Incline village.
- Residents in Incline village have a higher median age of 48.8 years compared to 41.4 years in Peoria.
- Incline village has a higher median income of $155,195 compared to $86,759 in Peoria.
- A higher percentage of married families is found in Incline village at 54.0% compared to 43.0% in Peoria.
- The poverty level is higher in Peoria at 8%, compared to 0% in Incline village.
- The unemployment rate in Incline village is higher at 5.2%, compared to 3.3% in Peoria.
Demographics
Demographics Incline village vs Peoria provide insight into the diversity of the communities to compare.
| Demographic | Incline village | Peoria |
|---|---|---|
| Black | 1 | 3 |
| White | 67 | 60 |
| Asian | 1 | 5 |
| Hispanic | 20 | 21 |
| Two or More Races | 11 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Incline village vs Peoria
- In Peoria, the percentage of Black residents is higher at 3% compared to 1% in Incline village.
- Incline village has a higher percentage of White residents at 67% compared to 60% in Peoria.
- In Peoria, the Asian population stands at 5%, greater than 1% in Incline village.
- Peoria has a higher percentage of Hispanic residents at 21%, compared to 20% in Incline village.
- More residents identify as two or more races in Incline village at 11% compared to 10% in Peoria.
- In Peoria, the percentage of American Indian residents is higher at 1%, compared to 0% in Incline village.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Incline village | Peoria |
|---|---|---|
| Mental Health Not Good | 15.7% | 16.6% |
| Physical Health Not Good | 9.3% | 9.8% |
| Depression | 18.8% | 19.9% |
| Smoking | 11.8% | 13.5% |
| Binge Drinking | 19.3% | 18.7% |
| Obesity | 25.5% | 29.3% |
| Disability Percentage | 6.0% | 12.0% |
Health Statistics Comparison: Incline village vs Peoria
- In Peoria, a higher percentage report poor mental health at 16.6% compared to 15.7% in Incline village.
- Higher depression rates are seen in Peoria at 19.9% versus 18.8% in Incline village.
- Peoria has a higher smoking rate at 13.5% compared to 11.8% in Incline village.
- Binge drinking is more common in Incline village at 19.3% compared to 18.7% in Peoria.
- Peoria has higher obesity rates at 29.3% compared to 25.5% in Incline village.
- There is a higher percentage of disabled individuals in Peoria at 12.0% compared to 6.0% in Incline village.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Incline village | Peoria |
|---|---|---|
| No Schooling | 0.1% (6) | 1.1% (2,127) |
| High School Diploma | 7.7% (704) | 12.9% (25,582) |
| Less than High School | 10.8% (989) | 9.3% (18,494) |
| Bachelor's Degree and Higher | 47.8% (4,379) | 23.6% (46,719) |
Education Levels Comparison: Incline village vs Peoria
- In Peoria, a larger percentage of residents lack formal schooling at 1.1% compared to 0.1% in Incline village.
- In Peoria, the rate of residents with high school diplomas is higher at 12.9% compared to 7.7% in Incline village.
- More residents in Incline village have less than a high school education at 10.8% compared to 9.3% in Peoria.
- A higher percentage of residents in Incline village hold a bachelor's degree or higher at 47.8% compared to 23.6% in Peoria.
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.