Demographics details for Sierra vista, AZ vs Penn valley, CA
Population Overview
Compare main population characteristics in Sierra vista, AZ vs Penn valley, CA.
Data | Sierra vista | Penn valley |
---|---|---|
Population | 45,439 | 1,188 |
Median Age | 37.0 years | 55.7 years |
Median Income | $70,899 | $65,882 |
Married Families | 42.0% | 60.0% |
Poverty Level | 13% | 8% |
Unemployment Rate | 4.0 | 5.1 |
Population Comparison: Sierra vista vs Penn valley
- In Sierra vista, the population is higher at 45,439, compared to 1,188 in Penn valley.
- The median age in Penn valley is higher at 55.7 years, compared to 37.0 years in Sierra vista.
- Sierra vista has a higher median income of $70,899 compared to $65,882 in Penn valley.
- In Penn valley, the percentage of married families is higher at 60.0%, compared to 42.0% in Sierra vista.
- Sierra vista has a higher poverty level at 13% compared to 8% in Penn valley.
- Penn valley has a higher unemployment rate at 5.1% compared to 4.0% in Sierra vista.
Demographics
Demographics Sierra vista vs Penn valley provide insight into the diversity of the communities to compare.
Demographic | Sierra vista | Penn valley |
---|---|---|
Black | 8 | Data is updating |
White | 48 | 86 |
Asian | 4 | Data is updating |
Hispanic | 24 | 7 |
Two or More Races | 15 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: Sierra vista vs Penn valley
- A higher percentage of Black residents are in Sierra vista at 8% compared to 0% in Penn valley.
- The percentage of White residents is higher in Penn valley at 86% compared to 48% in Sierra vista.
- The Asian population is larger in Sierra vista at 4% compared to 0% in Penn valley.
- The Hispanic community is larger in Sierra vista at 24% compared to 7% in Penn valley.
- More residents identify as two or more races in Sierra vista at 15% compared to 7% in Penn valley.
- A greater percentage of American Indian residents live in Sierra vista at 1% compared to 0% in Penn valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sierra vista | Penn valley |
---|---|---|
Mental Health Not Good | 15.4% | 18.4% |
Physical Health Not Good | 10.8% | 11.8% |
Depression | 20.8% | 22.9% |
Smoking | 15.8% | 14.8% |
Binge Drinking | 18.2% | 17.9% |
Obesity | 32.2% | 29.5% |
Disability Percentage | 14.0% | 30.0% |
Health Statistics Comparison: Sierra vista vs Penn valley
- In Penn valley, a higher percentage report poor mental health at 18.4% compared to 15.4% in Sierra vista.
- Higher depression rates are seen in Penn valley at 22.9% versus 20.8% in Sierra vista.
- Smoking is more prevalent in Sierra vista at 15.8% compared to 14.8% in Penn valley.
- Binge drinking is more common in Sierra vista at 18.2% compared to 17.9% in Penn valley.
- Obesity rates are higher in Sierra vista at 32.2% compared to 29.5% in Penn valley.
- There is a higher percentage of disabled individuals in Penn valley at 30.0% compared to 14.0% in Sierra vista.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sierra vista | Penn valley |
---|---|---|
No Schooling | 0.5% (224) | 4.9% (58) |
High School Diploma | 11.7% (5,296) | 21.6% (257) |
Less than High School | 8.2% (3,735) | 8.2% (98) |
Bachelor's Degree and Higher | 22.8% (10,354) | 12.3% (146) |
Education Levels Comparison: Sierra vista vs Penn valley
- In Penn valley, a larger percentage of residents lack formal schooling at 4.9% compared to 0.5% in Sierra vista.
- In Penn valley, the rate of residents with high school diplomas is higher at 21.6% compared to 11.7% in Sierra vista.
- Both cities report the same percentage of residents with less than a high school education at 8.2%.
- A higher percentage of residents in Sierra vista hold a bachelor's degree or higher at 22.8% compared to 12.3% in Penn valley.
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.