Demographics details for Central city, KY vs Corona, CA
Population Overview
Compare main population characteristics in Central city, KY vs Corona, CA.
| Data | Central city | Corona |
|---|---|---|
| Population | 5,810 | 159,567 |
| Median Age | 33.5 years | 35.9 years |
| Median Income | $52,184 | $103,727 |
| Married Families | 38.0% | 40.0% |
| Poverty Level | 16% | 11% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Central city vs Corona
- The population in Corona is higher at 159,567, compared to 5,810 in Central city.
- The median age in Corona is higher at 35.9 years, compared to 33.5 years in Central city.
- Corona has a higher median income of $103,727, compared to $52,184 in Central city.
- In Corona, the percentage of married families is higher at 40.0%, compared to 38.0% in Central city.
- Central city has a higher poverty level at 16% compared to 11% in Corona.
- Corona has a higher unemployment rate at 4.1% compared to 3.5% in Central city.
Demographics
Demographics Central city vs Corona provide insight into the diversity of the communities to compare.
| Demographic | Central city | Corona |
|---|---|---|
| Black | 3 | 6 |
| White | 88 | 21 |
| Asian | Data is updating | 11 |
| Hispanic | 2 | 48 |
| Two or More Races | 6 | 13 |
| American Indian | 1 | 1 |
Demographics Comparison: Central city vs Corona
- In Corona, the percentage of Black residents is higher at 6% compared to 3% in Central city.
- Central city has a higher percentage of White residents at 88% compared to 21% in Corona.
- In Corona, the Asian population stands at 11%, greater than 0% in Central city.
- Corona has a higher percentage of Hispanic residents at 48%, compared to 2% in Central city.
- The percentage of residents identifying as two or more races is higher in Corona at 13%, compared to 6% in Central city.
- The percentage of American Indian residents is the same in both Central city and Corona at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Central city | Corona |
|---|---|---|
| Mental Health Not Good | 19.3% | 15.1% |
| Physical Health Not Good | 15.5% | 10.6% |
| Depression | 26.8% | 16.6% |
| Smoking | 24.8% | 11.8% |
| Binge Drinking | 14.8% | 16.7% |
| Obesity | 41.9% | 34.1% |
| Disability Percentage | 15.0% | 7.0% |
Health Statistics Comparison: Central city vs Corona
- More residents in Central city report poor mental health at 19.3% compared to 15.1% in Corona.
- Depression is more prevalent in Central city at 26.8% compared to 16.6% in Corona.
- Smoking is more prevalent in Central city at 24.8% compared to 11.8% in Corona.
- More residents engage in binge drinking in Corona at 16.7% compared to 14.8% in Central city.
- Obesity rates are higher in Central city at 41.9% compared to 34.1% in Corona.
- Disability percentages are higher in Central city at 15.0% compared to 7.0% in Corona.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Central city | Corona |
|---|---|---|
| No Schooling | 1.1% (65) | 1.9% (3,102) |
| High School Diploma | 15.4% (897) | 14.3% (22,788) |
| Less than High School | 15.6% (905) | 17.4% (27,748) |
| Bachelor's Degree and Higher | 8.3% (480) | 19.6% (31,335) |
Education Levels Comparison: Central city vs Corona
- In Corona, a larger percentage of residents lack formal schooling at 1.9% compared to 1.1% in Central city.
- A higher percentage of residents in Central city hold a high school diploma at 15.4% compared to 14.3% in Corona.
- The percentage of residents with less than a high school education is higher in Corona at 17.4%, compared to 15.6% in Central city.
- In Corona, a larger share of residents have a bachelor's degree or higher at 19.6% compared to 8.3% in Central city.
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.