Demographics details for Corona, CA vs New albany, OH
Population Overview
Compare main population characteristics in Corona, CA vs New albany, OH.
| Data | Corona | New albany |
|---|---|---|
| Population | 159,567 | 11,043 |
| Median Age | 35.9 years | 40.9 years |
| Median Income | $103,727 | $224,824 |
| Married Families | 40.0% | 51.0% |
| Poverty Level | 11% | 1% |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Corona vs New albany
- In Corona, the population is higher at 159,567, compared to 11,043 in New albany.
- The median age in New albany is higher at 40.9 years, compared to 35.9 years in Corona.
- New albany has a higher median income of $224,824, compared to $103,727 in Corona.
- In New albany, the percentage of married families is higher at 51.0%, compared to 40.0% in Corona.
- Corona has a higher poverty level at 11% compared to 1% in New albany.
- The unemployment rate in Corona is higher at 4.1%, compared to 3.2% in New albany.
Demographics
Demographics Corona vs New albany provide insight into the diversity of the communities to compare.
| Demographic | Corona | New albany |
|---|---|---|
| Black | 6 | 2 |
| White | 21 | 72 |
| Asian | 11 | 8 |
| Hispanic | 48 | 7 |
| Two or More Races | 13 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Corona vs New albany
- A higher percentage of Black residents are in Corona at 6% compared to 2% in New albany.
- The percentage of White residents is higher in New albany at 72% compared to 21% in Corona.
- The Asian population is larger in Corona at 11% compared to 8% in New albany.
- The Hispanic community is larger in Corona at 48% compared to 7% in New albany.
- More residents identify as two or more races in Corona at 13% compared to 11% in New albany.
- A greater percentage of American Indian residents live in Corona at 1% compared to 0% in New albany.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Corona | New albany |
|---|---|---|
| Mental Health Not Good | 15.1% | 13.6% |
| Physical Health Not Good | 10.6% | 7.3% |
| Depression | 16.6% | 22.1% |
| Smoking | 11.8% | 10.1% |
| Binge Drinking | 16.7% | 20.8% |
| Obesity | 34.1% | 28.6% |
| Disability Percentage | 7.0% | 4.0% |
Health Statistics Comparison: Corona vs New albany
- More residents in Corona report poor mental health at 15.1% compared to 13.6% in New albany.
- Higher depression rates are seen in New albany at 22.1% versus 16.6% in Corona.
- Smoking is more prevalent in Corona at 11.8% compared to 10.1% in New albany.
- More residents engage in binge drinking in New albany at 20.8% compared to 16.7% in Corona.
- Obesity rates are higher in Corona at 34.1% compared to 28.6% in New albany.
- Disability percentages are higher in Corona at 7.0% compared to 4.0% in New albany.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Corona | New albany |
|---|---|---|
| No Schooling | 1.9% (3,102) | 0.2% (17) |
| High School Diploma | 14.3% (22,788) | 3.4% (371) |
| Less than High School | 17.4% (27,748) | 1.0% (111) |
| Bachelor's Degree and Higher | 19.6% (31,335) | 45.6% (5,031) |
Education Levels Comparison: Corona vs New albany
- A higher percentage of residents in Corona have no formal schooling at 1.9% compared to 0.2% in New albany.
- A higher percentage of residents in Corona hold a high school diploma at 14.3% compared to 3.4% in New albany.
- More residents in Corona have less than a high school education at 17.4% compared to 1.0% in New albany.
- In New albany, a larger share of residents have a bachelor's degree or higher at 45.6% compared to 19.6% in Corona.
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.