Demographics details for Gilbert, AZ vs Pond eddy, NY
Population Overview
Compare main population characteristics in Gilbert, AZ vs Pond eddy, NY.
| Data | Gilbert | Pond eddy |
|---|---|---|
| Population | 275,346 | 389 |
| Median Age | 35.4 years | 45.0 years |
| Median Income | $115,179 | $55,000 |
| Married Families | 42.0% | 65.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 3.0 | 4.0 |
Population Comparison: Gilbert vs Pond eddy
- In Gilbert, the population is higher at 275,346, compared to 389 in Pond eddy.
- The median age in Pond eddy is higher at 45.0 years, compared to 35.4 years in Gilbert.
- Gilbert has a higher median income of $115,179 compared to $55,000 in Pond eddy.
- In Pond eddy, the percentage of married families is higher at 65.0%, compared to 42.0% in Gilbert.
- The poverty level is higher in Pond eddy at 10%, compared to 6% in Gilbert.
- Pond eddy has a higher unemployment rate at 4.0% compared to 3.0% in Gilbert.
Demographics
Demographics Gilbert vs Pond eddy provide insight into the diversity of the communities to compare.
| Demographic | Gilbert | Pond eddy |
|---|---|---|
| Black | 4 | 2 |
| White | 62 | 95 |
| Asian | 6 | 1 |
| Hispanic | 17 | 2 |
| Two or More Races | 10 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Gilbert vs Pond eddy
- A higher percentage of Black residents are in Gilbert at 4% compared to 2% in Pond eddy.
- The percentage of White residents is higher in Pond eddy at 95% compared to 62% in Gilbert.
- The Asian population is larger in Gilbert at 6% compared to 1% in Pond eddy.
- The Hispanic community is larger in Gilbert at 17% compared to 2% in Pond eddy.
- More residents identify as two or more races in Gilbert at 10% compared to 0% in Pond eddy.
- A greater percentage of American Indian residents live in Gilbert at 1% compared to 0% in Pond eddy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gilbert | Pond eddy |
|---|---|---|
| Mental Health Not Good | 15.2% | Data is updating% |
| Physical Health Not Good | 8.4% | Data is updating% |
| Depression | 19.0% | Data is updating% |
| Smoking | 11.3% | Data is updating% |
| Binge Drinking | 19.1% | Data is updating% |
| Obesity | 27.2% | Data is updating% |
| Disability Percentage | 7.0% | Data is updating% |
Health Statistics Comparison: Gilbert vs Pond eddy
- More residents in Gilbert report poor mental health at 15.2% compared to 0.0% in Pond eddy.
- Depression is more prevalent in Gilbert at 19.0% compared to 0.0% in Pond eddy.
- Smoking is more prevalent in Gilbert at 11.3% compared to 0.0% in Pond eddy.
- Binge drinking is more common in Gilbert at 19.1% compared to 0.0% in Pond eddy.
- Obesity rates are higher in Gilbert at 27.2% compared to 0.0% in Pond eddy.
- Disability percentages are higher in Gilbert at 7.0% compared to 0.0% in Pond eddy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gilbert | Pond eddy |
|---|---|---|
| No Schooling | 0.5% (1,279) | 0.0% (Data is updating) |
| High School Diploma | 8.1% (22,388) | 0.0% (Data is updating) |
| Less than High School | 4.0% (10,945) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 28.4% (78,297) | 0.0% (Data is updating) |
Education Levels Comparison: Gilbert vs Pond eddy
- A higher percentage of residents in Gilbert have no formal schooling at 0.5% compared to 0.0% in Pond eddy.
- A higher percentage of residents in Gilbert hold a high school diploma at 8.1% compared to 0.0% in Pond eddy.
- More residents in Gilbert have less than a high school education at 4.0% compared to 0.0% in Pond eddy.
- A higher percentage of residents in Gilbert hold a bachelor's degree or higher at 28.4% compared to 0.0% in Pond eddy.
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.