Demographics details for Corona, CA vs Port clinton, OH
Population Overview
Compare main population characteristics in Corona, CA vs Port clinton, OH.
Data | Corona | Port clinton |
---|---|---|
Population | 159,567 | 5,966 |
Median Age | 35.9 years | 44.9 years |
Median Income | $103,727 | $55,534 |
Married Families | 40.0% | 35.0% |
Poverty Level | 11% | 12% |
Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Corona vs Port clinton
- In Corona, the population is higher at 159,567, compared to 5,966 in Port clinton.
- The median age in Port clinton is higher at 44.9 years, compared to 35.9 years in Corona.
- Corona has a higher median income of $103,727 compared to $55,534 in Port clinton.
- A higher percentage of married families is found in Corona at 40.0% compared to 35.0% in Port clinton.
- The poverty level is higher in Port clinton at 12%, compared to 11% in Corona.
- The unemployment rate in Corona is higher at 4.1%, compared to 3.5% in Port clinton.
Demographics
Demographics Corona vs Port clinton provide insight into the diversity of the communities to compare.
Demographic | Corona | Port clinton |
---|---|---|
Black | 6 | 3 |
White | 21 | 82 |
Asian | 11 | Data is updating |
Hispanic | 48 | 7 |
Two or More Races | 13 | 8 |
American Indian | 1 | Data is updating |
Demographics Comparison: Corona vs Port clinton
- A higher percentage of Black residents are in Corona at 6% compared to 3% in Port clinton.
- The percentage of White residents is higher in Port clinton at 82% compared to 21% in Corona.
- The Asian population is larger in Corona at 11% compared to 0% in Port clinton.
- The Hispanic community is larger in Corona at 48% compared to 7% in Port clinton.
- More residents identify as two or more races in Corona at 13% compared to 8% in Port clinton.
- A greater percentage of American Indian residents live in Corona at 1% compared to 0% in Port clinton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Corona | Port clinton |
---|---|---|
Mental Health Not Good | 15.1% | 19.2% |
Physical Health Not Good | 10.6% | 13.5% |
Depression | 16.6% | 25.1% |
Smoking | 11.8% | 24.0% |
Binge Drinking | 16.7% | 17.9% |
Obesity | 34.1% | 40.7% |
Disability Percentage | 7.0% | 16.0% |
Health Statistics Comparison: Corona vs Port clinton
- In Port clinton, a higher percentage report poor mental health at 19.2% compared to 15.1% in Corona.
- Higher depression rates are seen in Port clinton at 25.1% versus 16.6% in Corona.
- Port clinton has a higher smoking rate at 24.0% compared to 11.8% in Corona.
- More residents engage in binge drinking in Port clinton at 17.9% compared to 16.7% in Corona.
- Port clinton has higher obesity rates at 40.7% compared to 34.1% in Corona.
- There is a higher percentage of disabled individuals in Port clinton at 16.0% 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 | Corona | Port clinton |
---|---|---|
No Schooling | 1.9% (3,102) | 0.0% (Data is updating) |
High School Diploma | 14.3% (22,788) | 21.7% (1,296) |
Less than High School | 17.4% (27,748) | 17.1% (1,023) |
Bachelor's Degree and Higher | 19.6% (31,335) | 13.8% (825) |
Education Levels Comparison: Corona vs Port clinton
- A higher percentage of residents in Corona have no formal schooling at 1.9% compared to 0.0% in Port clinton.
- In Port clinton, the rate of residents with high school diplomas is higher at 21.7% compared to 14.3% in Corona.
- More residents in Corona have less than a high school education at 17.4% compared to 17.1% in Port clinton.
- A higher percentage of residents in Corona hold a bachelor's degree or higher at 19.6% compared to 13.8% in Port clinton.
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.