Demographics details for Shabbona, IL vs Newport beach, CA
Population Overview
Compare main population characteristics in Shabbona, IL vs Newport beach, CA.
Data | Shabbona | Newport beach |
---|---|---|
Population | 850 | 83,993 |
Median Age | 53.7 years | 46.7 years |
Median Income | $60,625 | $149,471 |
Married Families | 34.0% | 45.0% |
Poverty Level | 8% | 6% |
Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Shabbona vs Newport beach
- The population in Newport beach is higher at 83,993, compared to 850 in Shabbona.
- Residents in Shabbona have a higher median age of 53.7 years compared to 46.7 years in Newport beach.
- Newport beach has a higher median income of $149,471, compared to $60,625 in Shabbona.
- In Newport beach, the percentage of married families is higher at 45.0%, compared to 34.0% in Shabbona.
- Shabbona has a higher poverty level at 8% compared to 6% in Newport beach.
- The unemployment rate in Shabbona is higher at 5.1%, compared to 3.5% in Newport beach.
Demographics
Demographics Shabbona vs Newport beach provide insight into the diversity of the communities to compare.
Demographic | Shabbona | Newport beach |
---|---|---|
Black | 1 | 1 |
White | 94 | 71 |
Asian | Data is updating | 8 |
Hispanic | 3 | 11 |
Two or More Races | 2 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Shabbona vs Newport beach
- The percentage of Black residents is the same in both Shabbona and Newport beach at 1%.
- Shabbona has a higher percentage of White residents at 94% compared to 71% in Newport beach.
- In Newport beach, the Asian population stands at 8%, greater than 0% in Shabbona.
- Newport beach has a higher percentage of Hispanic residents at 11%, compared to 3% in Shabbona.
- The percentage of residents identifying as two or more races is higher in Newport beach at 9%, compared to 2% in Shabbona.
- The percentage of American Indian residents is the same in both Shabbona and Newport beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Shabbona | Newport beach |
---|---|---|
Mental Health Not Good | 16.2% | 13.2% |
Physical Health Not Good | 10.5% | 7.5% |
Depression | 22.1% | 18.2% |
Smoking | 16.5% | 7.3% |
Binge Drinking | 18.8% | 18.7% |
Obesity | 36.3% | 23.5% |
Disability Percentage | 24.0% | 8.0% |
Health Statistics Comparison: Shabbona vs Newport beach
- More residents in Shabbona report poor mental health at 16.2% compared to 13.2% in Newport beach.
- Depression is more prevalent in Shabbona at 22.1% compared to 18.2% in Newport beach.
- Smoking is more prevalent in Shabbona at 16.5% compared to 7.3% in Newport beach.
- Binge drinking is more common in Shabbona at 18.8% compared to 18.7% in Newport beach.
- Obesity rates are higher in Shabbona at 36.3% compared to 23.5% in Newport beach.
- Disability percentages are higher in Shabbona at 24.0% compared to 8.0% in Newport beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Shabbona | Newport beach |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.5% (429) |
High School Diploma | 22.1% (188) | 5.1% (4,249) |
Less than High School | 7.6% (65) | 3.7% (3,142) |
Bachelor's Degree and Higher | 12.2% (104) | 53.0% (44,551) |
Education Levels Comparison: Shabbona vs Newport beach
- In Newport beach, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Shabbona.
- A higher percentage of residents in Shabbona hold a high school diploma at 22.1% compared to 5.1% in Newport beach.
- More residents in Shabbona have less than a high school education at 7.6% compared to 3.7% in Newport beach.
- In Newport beach, a larger share of residents have a bachelor's degree or higher at 53.0% compared to 12.2% in Shabbona.
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.