Demographics details for Sidney, KY vs Blue island, IL
Population Overview
Compare main population characteristics in Sidney, KY vs Blue island, IL.
| Data | Sidney | Blue island |
|---|---|---|
| Population | 2,198 | 23,706 |
| Median Age | 44.8 years | 33.0 years |
| Median Income | $48,214 | $63,000 |
| Married Families | 60.0% | 38.0% |
| Poverty Level | 12% | 17% |
| Unemployment Rate | 4.2 | 5.3 |
Population Comparison: Sidney vs Blue island
- The population in Blue island is higher at 23,706, compared to 2,198 in Sidney.
- Residents in Sidney have a higher median age of 44.8 years compared to 33.0 years in Blue island.
- Blue island has a higher median income of $63,000, compared to $48,214 in Sidney.
- A higher percentage of married families is found in Sidney at 60.0% compared to 38.0% in Blue island.
- The poverty level is higher in Blue island at 17%, compared to 12% in Sidney.
- Blue island has a higher unemployment rate at 5.3% compared to 4.2% in Sidney.
Demographics
Demographics Sidney vs Blue island provide insight into the diversity of the communities to compare.
| Demographic | Sidney | Blue island |
|---|---|---|
| Black | Data is updating | 60 |
| White | 93 | 20 |
| Asian | Data is updating | 10 |
| Hispanic | 1 | 10 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sidney vs Blue island
- In Blue island, the percentage of Black residents is higher at 60% compared to 0% in Sidney.
- Sidney has a higher percentage of White residents at 93% compared to 20% in Blue island.
- In Blue island, the Asian population stands at 10%, greater than 0% in Sidney.
- Blue island has a higher percentage of Hispanic residents at 10%, compared to 1% in Sidney.
- More residents identify as two or more races in Sidney at 6% compared to 5% in Blue island.
- The percentage of American Indian residents is the same in both Sidney and Blue island at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sidney | Blue island |
|---|---|---|
| Mental Health Not Good | Data is updating% | Data is updating% |
| Physical Health Not Good | Data is updating% | Data is updating% |
| Depression | Data is updating% | Data is updating% |
| Smoking | Data is updating% | Data is updating% |
| Binge Drinking | Data is updating% | Data is updating% |
| Obesity | Data is updating% | Data is updating% |
| Disability Percentage | 42.0% | Data is updating% |
Health Statistics Comparison: Sidney vs Blue island
- Poor mental health levels are equal in both Sidney and Blue island at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Sidney and Blue island at 0.0%.
- Binge drinking rates are similar in both Sidney and Blue island at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are higher in Sidney at 42.0% 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 | Sidney | Blue island |
|---|---|---|
| No Schooling | 2.4% (52) | 0.0% (Data is updating) |
| High School Diploma | 29.3% (644) | 0.0% (Data is updating) |
| Less than High School | 24.7% (542) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 10.3% (226) | 0.0% (Data is updating) |
Education Levels Comparison: Sidney vs Blue island
- A higher percentage of residents in Sidney have no formal schooling at 2.4% compared to 0.0% in Blue island.
- A higher percentage of residents in Sidney hold a high school diploma at 29.3% compared to 0.0% in Blue island.
- More residents in Sidney have less than a high school education at 24.7% compared to 0.0% in Blue island.
- A higher percentage of residents in Sidney hold a bachelor's degree or higher at 10.3% 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.