Demographics details for Blue island, IL vs Paris, TN
Population Overview
Compare main population characteristics in Blue island, IL vs Paris, TN.
| Data | Blue island | Paris |
|---|---|---|
| Population | 23,706 | 10,339 |
| Median Age | 33.0 years | 39.4 years |
| Median Income | $63,000 | $39,378 |
| Married Families | 38.0% | 32.0% |
| Poverty Level | 17% | 12% |
| Unemployment Rate | 5.3 | 4.5 |
Population Comparison: Blue island vs Paris
- In Blue island, the population is higher at 23,706, compared to 10,339 in Paris.
- The median age in Paris is higher at 39.4 years, compared to 33.0 years in Blue island.
- Blue island has a higher median income of $63,000 compared to $39,378 in Paris.
- A higher percentage of married families is found in Blue island at 38.0% compared to 32.0% in Paris.
- Blue island has a higher poverty level at 17% compared to 12% in Paris.
- The unemployment rate in Blue island is higher at 5.3%, compared to 4.5% in Paris.
Demographics
Demographics Blue island vs Paris provide insight into the diversity of the communities to compare.
| Demographic | Blue island | Paris |
|---|---|---|
| Black | 60 | 18 |
| White | 20 | 74 |
| Asian | 10 | Data is updating |
| Hispanic | 10 | 3 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Blue island vs Paris
- A higher percentage of Black residents are in Blue island at 60% compared to 18% in Paris.
- The percentage of White residents is higher in Paris at 74% compared to 20% in Blue island.
- The Asian population is larger in Blue island at 10% compared to 0% in Paris.
- The Hispanic community is larger in Blue island at 10% compared to 3% in Paris.
- Both Blue island and Paris have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Blue island and Paris at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Blue island | Paris |
|---|---|---|
| Mental Health Not Good | Data is updating% | 22.4% |
| Physical Health Not Good | Data is updating% | 16.3% |
| Depression | Data is updating% | 29.4% |
| Smoking | Data is updating% | 28.0% |
| Binge Drinking | Data is updating% | 13.8% |
| Obesity | Data is updating% | 41.9% |
| Disability Percentage | Data is updating% | 23.0% |
Health Statistics Comparison: Blue island vs Paris
- In Paris, a higher percentage report poor mental health at 22.4% compared to 0.0% in Blue island.
- Higher depression rates are seen in Paris at 29.4% versus 0.0% in Blue island.
- Paris has a higher smoking rate at 28.0% compared to 0.0% in Blue island.
- More residents engage in binge drinking in Paris at 13.8% compared to 0.0% in Blue island.
- Paris has higher obesity rates at 41.9% compared to 0.0% in Blue island.
- There is a higher percentage of disabled individuals in Paris at 23.0% compared to 0.0% in Blue island.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Blue island | Paris |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (104) |
| High School Diploma | 0.0% (Data is updating) | 25.5% (2,641) |
| Less than High School | 0.0% (Data is updating) | 18.7% (1,935) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 13.7% (1,419) |
Education Levels Comparison: Blue island vs Paris
- In Paris, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Blue island.
- In Paris, the rate of residents with high school diplomas is higher at 25.5% compared to 0.0% in Blue island.
- The percentage of residents with less than a high school education is higher in Paris at 18.7%, compared to 0.0% in Blue island.
- In Paris, a larger share of residents have a bachelor's degree or higher at 13.7% compared to 0.0% in Blue island.
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.