Demographics details for Mesa, AZ vs Gwynedd valley, PA
Population Overview
Compare main population characteristics in Mesa, AZ vs Gwynedd valley, PA.
| Data | Mesa | Gwynedd valley |
|---|---|---|
| Population | 512,498 | 1,418 |
| Median Age | 36.8 years | 48.0 years |
| Median Income | $73,766 | $112,500 |
| Married Families | 38.0% | 64.0% |
| Poverty Level | 11% | 3% |
| Unemployment Rate | 3.5 | 4.7 |
Population Comparison: Mesa vs Gwynedd valley
- In Mesa, the population is higher at 512,498, compared to 1,418 in Gwynedd valley.
- The median age in Gwynedd valley is higher at 48.0 years, compared to 36.8 years in Mesa.
- Gwynedd valley has a higher median income of $112,500, compared to $73,766 in Mesa.
- In Gwynedd valley, the percentage of married families is higher at 64.0%, compared to 38.0% in Mesa.
- Mesa has a higher poverty level at 11% compared to 3% in Gwynedd valley.
- Gwynedd valley has a higher unemployment rate at 4.7% compared to 3.5% in Mesa.
Demographics
Demographics Mesa vs Gwynedd valley provide insight into the diversity of the communities to compare.
| Demographic | Mesa | Gwynedd valley |
|---|---|---|
| Black | 5 | 1 |
| White | 52 | 93 |
| Asian | 2 | 3 |
| Hispanic | 27 | 2 |
| Two or More Races | 12 | 1 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Mesa vs Gwynedd valley
- A higher percentage of Black residents are in Mesa at 5% compared to 1% in Gwynedd valley.
- The percentage of White residents is higher in Gwynedd valley at 93% compared to 52% in Mesa.
- In Gwynedd valley, the Asian population stands at 3%, greater than 2% in Mesa.
- The Hispanic community is larger in Mesa at 27% compared to 2% in Gwynedd valley.
- More residents identify as two or more races in Mesa at 12% compared to 1% in Gwynedd valley.
- A greater percentage of American Indian residents live in Mesa at 2% compared to 0% in Gwynedd valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mesa | Gwynedd valley |
|---|---|---|
| Mental Health Not Good | 17.8% | Data is updating% |
| Physical Health Not Good | 11.2% | Data is updating% |
| Depression | 20.4% | Data is updating% |
| Smoking | 15.8% | Data is updating% |
| Binge Drinking | 17.8% | Data is updating% |
| Obesity | 31.6% | Data is updating% |
| Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: Mesa vs Gwynedd valley
- More residents in Mesa report poor mental health at 17.8% compared to 0.0% in Gwynedd valley.
- Depression is more prevalent in Mesa at 20.4% compared to 0.0% in Gwynedd valley.
- Smoking is more prevalent in Mesa at 15.8% compared to 0.0% in Gwynedd valley.
- Binge drinking is more common in Mesa at 17.8% compared to 0.0% in Gwynedd valley.
- Obesity rates are higher in Mesa at 31.6% compared to 0.0% in Gwynedd valley.
- Disability percentages are higher in Mesa at 12.0% compared to 0.0% in Gwynedd valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mesa | Gwynedd valley |
|---|---|---|
| No Schooling | 1.2% (6,008) | 0.0% (Data is updating) |
| High School Diploma | 13.8% (70,489) | 0.0% (Data is updating) |
| Less than High School | 11.9% (60,898) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 19.9% (102,124) | 0.0% (Data is updating) |
Education Levels Comparison: Mesa vs Gwynedd valley
- A higher percentage of residents in Mesa have no formal schooling at 1.2% compared to 0.0% in Gwynedd valley.
- A higher percentage of residents in Mesa hold a high school diploma at 13.8% compared to 0.0% in Gwynedd valley.
- More residents in Mesa have less than a high school education at 11.9% compared to 0.0% in Gwynedd valley.
- A higher percentage of residents in Mesa hold a bachelor's degree or higher at 19.9% compared to 0.0% in Gwynedd 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.