Demographics details for Joliet, IL vs Campbell, CA
Population Overview
Compare main population characteristics in Joliet, IL vs Campbell, CA.
| Data | Joliet | Campbell |
|---|---|---|
| Population | 150,033 | 42,286 |
| Median Age | 34.3 years | 39.3 years |
| Median Income | $84,971 | $141,794 |
| Married Families | 35.0% | 45.0% |
| Poverty Level | 12% | 6% |
| Unemployment Rate | 7.1 | 3.6 |
Population Comparison: Joliet vs Campbell
- In Joliet, the population is higher at 150,033, compared to 42,286 in Campbell.
- The median age in Campbell is higher at 39.3 years, compared to 34.3 years in Joliet.
- Campbell has a higher median income of $141,794, compared to $84,971 in Joliet.
- In Campbell, the percentage of married families is higher at 45.0%, compared to 35.0% in Joliet.
- Joliet has a higher poverty level at 12% compared to 6% in Campbell.
- The unemployment rate in Joliet is higher at 7.1%, compared to 3.6% in Campbell.
Demographics
Demographics Joliet vs Campbell provide insight into the diversity of the communities to compare.
| Demographic | Joliet | Campbell |
|---|---|---|
| Black | 17 | 2 |
| White | 36 | 42 |
| Asian | 2 | 27 |
| Hispanic | 34 | 18 |
| Two or More Races | 10 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Joliet vs Campbell
- A higher percentage of Black residents are in Joliet at 17% compared to 2% in Campbell.
- The percentage of White residents is higher in Campbell at 42% compared to 36% in Joliet.
- In Campbell, the Asian population stands at 27%, greater than 2% in Joliet.
- The Hispanic community is larger in Joliet at 34% compared to 18% in Campbell.
- The percentage of residents identifying as two or more races is higher in Campbell at 11%, compared to 10% in Joliet.
- A greater percentage of American Indian residents live in Joliet at 1% compared to 0% in Campbell.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Joliet | Campbell |
|---|---|---|
| Mental Health Not Good | 15.7% | 13.3% |
| Physical Health Not Good | 11.7% | 8.0% |
| Depression | 19.1% | 16.8% |
| Smoking | 16.9% | 8.0% |
| Binge Drinking | 16.2% | 15.9% |
| Obesity | 37.4% | 21.0% |
| Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Joliet vs Campbell
- More residents in Joliet report poor mental health at 15.7% compared to 13.3% in Campbell.
- Depression is more prevalent in Joliet at 19.1% compared to 16.8% in Campbell.
- Smoking is more prevalent in Joliet at 16.9% compared to 8.0% in Campbell.
- Binge drinking is more common in Joliet at 16.2% compared to 15.9% in Campbell.
- Obesity rates are higher in Joliet at 37.4% compared to 21.0% in Campbell.
- Disability percentages are the same in both Joliet and Campbell at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Joliet | Campbell |
|---|---|---|
| No Schooling | 1.5% (2,247) | 1.4% (599) |
| High School Diploma | 14.9% (22,362) | 8.1% (3,429) |
| Less than High School | 17.5% (26,199) | 7.6% (3,214) |
| Bachelor's Degree and Higher | 15.6% (23,354) | 44.5% (18,829) |
Education Levels Comparison: Joliet vs Campbell
- A higher percentage of residents in Joliet have no formal schooling at 1.5% compared to 1.4% in Campbell.
- A higher percentage of residents in Joliet hold a high school diploma at 14.9% compared to 8.1% in Campbell.
- More residents in Joliet have less than a high school education at 17.5% compared to 7.6% in Campbell.
- In Campbell, a larger share of residents have a bachelor's degree or higher at 44.5% compared to 15.6% in Joliet.
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.