Demographics details for Seaside park, NJ vs Corona, CA
Population Overview
Compare main population characteristics in Seaside park, NJ vs Corona, CA.
Data | Seaside park | Corona |
---|---|---|
Population | 1,473 | 159,567 |
Median Age | 59.5 years | 35.9 years |
Median Income | $80,658 | $103,727 |
Married Families | 57.0% | 40.0% |
Poverty Level | 5% | 11% |
Unemployment Rate | 4.1 | 4.1 |
Population Comparison: Seaside park vs Corona
- The population in Corona is higher at 159,567, compared to 1,473 in Seaside park.
- Residents in Seaside park have a higher median age of 59.5 years compared to 35.9 years in Corona.
- Corona has a higher median income of $103,727, compared to $80,658 in Seaside park.
- A higher percentage of married families is found in Seaside park at 57.0% compared to 40.0% in Corona.
- The poverty level is higher in Corona at 11%, compared to 5% in Seaside park.
- The unemployment rate is the same in both Seaside park and Corona at 4.1%.
Demographics
Demographics Seaside park vs Corona provide insight into the diversity of the communities to compare.
Demographic | Seaside park | Corona |
---|---|---|
Black | 3 | 6 |
White | 90 | 21 |
Asian | 4 | 11 |
Hispanic | 1 | 48 |
Two or More Races | 2 | 13 |
American Indian | Data is updating | 1 |
Demographics Comparison: Seaside park vs Corona
- In Corona, the percentage of Black residents is higher at 6% compared to 3% in Seaside park.
- Seaside park has a higher percentage of White residents at 90% compared to 21% in Corona.
- In Corona, the Asian population stands at 11%, greater than 4% in Seaside park.
- Corona has a higher percentage of Hispanic residents at 48%, compared to 1% in Seaside park.
- The percentage of residents identifying as two or more races is higher in Corona at 13%, compared to 2% in Seaside park.
- In Corona, the percentage of American Indian residents is higher at 1%, compared to 0% in Seaside park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Seaside park | Corona |
---|---|---|
Mental Health Not Good | 15.4% | 15.1% |
Physical Health Not Good | 10.1% | 10.6% |
Depression | 23.1% | 16.6% |
Smoking | 13.2% | 11.8% |
Binge Drinking | 18.2% | 16.7% |
Obesity | 30.7% | 34.1% |
Disability Percentage | 13.0% | 7.0% |
Health Statistics Comparison: Seaside park vs Corona
- More residents in Seaside park report poor mental health at 15.4% compared to 15.1% in Corona.
- Depression is more prevalent in Seaside park at 23.1% compared to 16.6% in Corona.
- Smoking is more prevalent in Seaside park at 13.2% compared to 11.8% in Corona.
- Binge drinking is more common in Seaside park at 18.2% compared to 16.7% in Corona.
- Corona has higher obesity rates at 34.1% compared to 30.7% in Seaside park.
- Disability percentages are higher in Seaside park at 13.0% 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 | Seaside park | Corona |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.9% (3,102) |
High School Diploma | 22.2% (327) | 14.3% (22,788) |
Less than High School | 3.3% (49) | 17.4% (27,748) |
Bachelor's Degree and Higher | 56.3% (830) | 19.6% (31,335) |
Education Levels Comparison: Seaside park vs Corona
- In Corona, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Seaside park.
- A higher percentage of residents in Seaside park hold a high school diploma at 22.2% 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 3.3% in Seaside park.
- A higher percentage of residents in Seaside park hold a bachelor's degree or higher at 56.3% 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.