Demographics details for Joliet, IL vs Forest city, NC
Population Overview
Compare main population characteristics in Joliet, IL vs Forest city, NC.
| Data | Joliet | Forest city |
|---|---|---|
| Population | 150,033 | 7,358 |
| Median Age | 34.3 years | 32.8 years |
| Median Income | $84,971 | $35,232 |
| Married Families | 35.0% | 21.0% |
| Poverty Level | 12% | 11% |
| Unemployment Rate | 7.1 | 4.5 |
Population Comparison: Joliet vs Forest city
- In Joliet, the population is higher at 150,033, compared to 7,358 in Forest city.
- Residents in Joliet have a higher median age of 34.3 years compared to 32.8 years in Forest city.
- Joliet has a higher median income of $84,971 compared to $35,232 in Forest city.
- A higher percentage of married families is found in Joliet at 35.0% compared to 21.0% in Forest city.
- Joliet has a higher poverty level at 12% compared to 11% in Forest city.
- The unemployment rate in Joliet is higher at 7.1%, compared to 4.5% in Forest city.
Demographics
Demographics Joliet vs Forest city provide insight into the diversity of the communities to compare.
| Demographic | Joliet | Forest city |
|---|---|---|
| Black | 17 | 28 |
| White | 36 | 57 |
| Asian | 2 | 2 |
| Hispanic | 34 | 8 |
| Two or More Races | 10 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Joliet vs Forest city
- In Forest city, the percentage of Black residents is higher at 28% compared to 17% in Joliet.
- The percentage of White residents is higher in Forest city at 57% compared to 36% in Joliet.
- Both Joliet and Forest city have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Joliet at 34% compared to 8% in Forest city.
- More residents identify as two or more races in Joliet at 10% compared to 5% in Forest city.
- A greater percentage of American Indian residents live in Joliet at 1% compared to 0% in Forest city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Joliet | Forest city |
|---|---|---|
| Mental Health Not Good | 15.7% | 19.0% |
| Physical Health Not Good | 11.7% | 14.4% |
| Depression | 19.1% | 24.4% |
| Smoking | 16.9% | 22.1% |
| Binge Drinking | 16.2% | 15.2% |
| Obesity | 37.4% | 41.2% |
| Disability Percentage | 9.0% | 23.0% |
Health Statistics Comparison: Joliet vs Forest city
- In Forest city, a higher percentage report poor mental health at 19.0% compared to 15.7% in Joliet.
- Higher depression rates are seen in Forest city at 24.4% versus 19.1% in Joliet.
- Forest city has a higher smoking rate at 22.1% compared to 16.9% in Joliet.
- Binge drinking is more common in Joliet at 16.2% compared to 15.2% in Forest city.
- Forest city has higher obesity rates at 41.2% compared to 37.4% in Joliet.
- There is a higher percentage of disabled individuals in Forest city at 23.0% compared to 9.0% in Joliet.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Joliet | Forest city |
|---|---|---|
| No Schooling | 1.5% (2,247) | 0.9% (63) |
| High School Diploma | 14.9% (22,362) | 15.5% (1,140) |
| Less than High School | 17.5% (26,199) | 13.0% (956) |
| Bachelor's Degree and Higher | 15.6% (23,354) | 10.7% (785) |
Education Levels Comparison: Joliet vs Forest city
- A higher percentage of residents in Joliet have no formal schooling at 1.5% compared to 0.9% in Forest city.
- In Forest city, the rate of residents with high school diplomas is higher at 15.5% compared to 14.9% in Joliet.
- More residents in Joliet have less than a high school education at 17.5% compared to 13.0% in Forest city.
- A higher percentage of residents in Joliet hold a bachelor's degree or higher at 15.6% compared to 10.7% in Forest 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.