Demographics details for Blue island, IL vs Kingman, AZ
Population Overview
Compare main population characteristics in Blue island, IL vs Kingman, AZ.
| Data | Blue island | Kingman |
|---|---|---|
| Population | 23,706 | 34,918 |
| Median Age | 33.0 years | 42.1 years |
| Median Income | $63,000 | $56,360 |
| Married Families | 38.0% | 37.0% |
| Poverty Level | 17% | 12% |
| Unemployment Rate | 5.3 | 4.2 |
Population Comparison: Blue island vs Kingman
- The population in Kingman is higher at 34,918, compared to 23,706 in Blue island.
- The median age in Kingman is higher at 42.1 years, compared to 33.0 years in Blue island.
- Blue island has a higher median income of $63,000 compared to $56,360 in Kingman.
- A higher percentage of married families is found in Blue island at 38.0% compared to 37.0% in Kingman.
- Blue island has a higher poverty level at 17% compared to 12% in Kingman.
- The unemployment rate in Blue island is higher at 5.3%, compared to 4.2% in Kingman.
Demographics
Demographics Blue island vs Kingman provide insight into the diversity of the communities to compare.
| Demographic | Blue island | Kingman |
|---|---|---|
| Black | 60 | 2 |
| White | 20 | 72 |
| Asian | 10 | 2 |
| Hispanic | 10 | 16 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Blue island vs Kingman
- A higher percentage of Black residents are in Blue island at 60% compared to 2% in Kingman.
- The percentage of White residents is higher in Kingman at 72% compared to 20% in Blue island.
- The Asian population is larger in Blue island at 10% compared to 2% in Kingman.
- Kingman has a higher percentage of Hispanic residents at 16%, compared to 10% in Blue island.
- The percentage of residents identifying as two or more races is higher in Kingman at 7%, compared to 5% in Blue island.
- In Kingman, the percentage of American Indian residents is higher at 1%, compared to 0% in Blue island.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Blue island | Kingman |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.2% |
| Physical Health Not Good | Data is updating% | 12.4% |
| Depression | Data is updating% | 21.2% |
| Smoking | Data is updating% | 19.1% |
| Binge Drinking | Data is updating% | 18.5% |
| Obesity | Data is updating% | 34.5% |
| Disability Percentage | Data is updating% | 18.0% |
Health Statistics Comparison: Blue island vs Kingman
- In Kingman, a higher percentage report poor mental health at 18.2% compared to 0.0% in Blue island.
- Higher depression rates are seen in Kingman at 21.2% versus 0.0% in Blue island.
- Kingman has a higher smoking rate at 19.1% compared to 0.0% in Blue island.
- More residents engage in binge drinking in Kingman at 18.5% compared to 0.0% in Blue island.
- Kingman has higher obesity rates at 34.5% compared to 0.0% in Blue island.
- There is a higher percentage of disabled individuals in Kingman at 18.0% 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 | Kingman |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (266) |
| High School Diploma | 0.0% (Data is updating) | 15.7% (5,487) |
| Less than High School | 0.0% (Data is updating) | 13.6% (4,744) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 13.7% (4,777) |
Education Levels Comparison: Blue island vs Kingman
- In Kingman, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Blue island.
- In Kingman, the rate of residents with high school diplomas is higher at 15.7% compared to 0.0% in Blue island.
- The percentage of residents with less than a high school education is higher in Kingman at 13.6%, compared to 0.0% in Blue island.
- In Kingman, 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.