Demographics details for Corona, CA vs Pond eddy, NY
Population Overview
Compare main population characteristics in Corona, CA vs Pond eddy, NY.
| Data | Corona | Pond eddy |
|---|---|---|
| Population | 159,567 | 389 |
| Median Age | 35.9 years | 45.0 years |
| Median Income | $103,727 | $55,000 |
| Married Families | 40.0% | 65.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 4.1 | 4.0 |
Population Comparison: Corona vs Pond eddy
- In Corona, the population is higher at 159,567, compared to 389 in Pond eddy.
- The median age in Pond eddy is higher at 45.0 years, compared to 35.9 years in Corona.
- Corona has a higher median income of $103,727 compared to $55,000 in Pond eddy.
- In Pond eddy, the percentage of married families is higher at 65.0%, compared to 40.0% in Corona.
- Corona has a higher poverty level at 11% compared to 10% in Pond eddy.
- The unemployment rate in Corona is higher at 4.1%, compared to 4.0% in Pond eddy.
Demographics
Demographics Corona vs Pond eddy provide insight into the diversity of the communities to compare.
| Demographic | Corona | Pond eddy |
|---|---|---|
| Black | 6 | 2 |
| White | 21 | 95 |
| Asian | 11 | 1 |
| Hispanic | 48 | 2 |
| Two or More Races | 13 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Corona vs Pond eddy
- A higher percentage of Black residents are in Corona at 6% compared to 2% in Pond eddy.
- The percentage of White residents is higher in Pond eddy at 95% compared to 21% in Corona.
- The Asian population is larger in Corona at 11% compared to 1% in Pond eddy.
- The Hispanic community is larger in Corona at 48% compared to 2% in Pond eddy.
- More residents identify as two or more races in Corona at 13% compared to 0% in Pond eddy.
- A greater percentage of American Indian residents live in Corona at 1% compared to 0% in Pond eddy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Corona | Pond eddy |
|---|---|---|
| Mental Health Not Good | 15.1% | Data is updating% |
| Physical Health Not Good | 10.6% | Data is updating% |
| Depression | 16.6% | Data is updating% |
| Smoking | 11.8% | Data is updating% |
| Binge Drinking | 16.7% | Data is updating% |
| Obesity | 34.1% | Data is updating% |
| Disability Percentage | 7.0% | Data is updating% |
Health Statistics Comparison: Corona vs Pond eddy
- More residents in Corona report poor mental health at 15.1% compared to 0.0% in Pond eddy.
- Depression is more prevalent in Corona at 16.6% compared to 0.0% in Pond eddy.
- Smoking is more prevalent in Corona at 11.8% compared to 0.0% in Pond eddy.
- Binge drinking is more common in Corona at 16.7% compared to 0.0% in Pond eddy.
- Obesity rates are higher in Corona at 34.1% compared to 0.0% in Pond eddy.
- Disability percentages are higher in Corona 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 | Corona | Pond eddy |
|---|---|---|
| No Schooling | 1.9% (3,102) | 0.0% (Data is updating) |
| High School Diploma | 14.3% (22,788) | 0.0% (Data is updating) |
| Less than High School | 17.4% (27,748) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 19.6% (31,335) | 0.0% (Data is updating) |
Education Levels Comparison: Corona vs Pond eddy
- A higher percentage of residents in Corona have no formal schooling at 1.9% compared to 0.0% in Pond eddy.
- A higher percentage of residents in Corona hold a high school diploma at 14.3% compared to 0.0% in Pond eddy.
- More residents in Corona have less than a high school education at 17.4% compared to 0.0% in Pond eddy.
- A higher percentage of residents in Corona hold a bachelor's degree or higher at 19.6% 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.