Demographics details for Kewanee, IL vs Williams bay, WI
Population Overview
Compare main population characteristics in Kewanee, IL vs Williams bay, WI.
Data | Kewanee | Williams bay |
---|---|---|
Population | 12,229 | 2,969 |
Median Age | 43.5 years | 48.2 years |
Median Income | $46,305 | $71,250 |
Married Families | 34.0% | 43.0% |
Poverty Level | 12% | Data is updating |
Unemployment Rate | 5.2 | 3.0 |
Population Comparison: Kewanee vs Williams bay
- In Kewanee, the population is higher at 12,229, compared to 2,969 in Williams bay.
- The median age in Williams bay is higher at 48.2 years, compared to 43.5 years in Kewanee.
- Williams bay has a higher median income of $71,250, compared to $46,305 in Kewanee.
- In Williams bay, the percentage of married families is higher at 43.0%, compared to 34.0% in Kewanee.
- Kewanee has a higher poverty level at 12% compared to 0% in Williams bay.
- The unemployment rate in Kewanee is higher at 5.2%, compared to 3.0% in Williams bay.
Demographics
Demographics Kewanee vs Williams bay provide insight into the diversity of the communities to compare.
Demographic | Kewanee | Williams bay |
---|---|---|
Black | 7 | Data is updating |
White | 78 | 91 |
Asian | Data is updating | Data is updating |
Hispanic | 11 | 8 |
Two or More Races | 4 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Kewanee vs Williams bay
- A higher percentage of Black residents are in Kewanee at 7% compared to 0% in Williams bay.
- The percentage of White residents is higher in Williams bay at 91% compared to 78% in Kewanee.
- Both Kewanee and Williams bay have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Kewanee at 11% compared to 8% in Williams bay.
- More residents identify as two or more races in Kewanee at 4% compared to 1% in Williams bay.
- The percentage of American Indian residents is the same in both Kewanee and Williams bay at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kewanee | Williams bay |
---|---|---|
Mental Health Not Good | 18.2% | 14.3% |
Physical Health Not Good | 13.3% | 9.1% |
Depression | 22.7% | 22.8% |
Smoking | 21.4% | 13.3% |
Binge Drinking | 16.8% | 24.1% |
Obesity | 38.5% | 36.4% |
Disability Percentage | 19.0% | 19.0% |
Health Statistics Comparison: Kewanee vs Williams bay
- More residents in Kewanee report poor mental health at 18.2% compared to 14.3% in Williams bay.
- Higher depression rates are seen in Williams bay at 22.8% versus 22.7% in Kewanee.
- Smoking is more prevalent in Kewanee at 21.4% compared to 13.3% in Williams bay.
- More residents engage in binge drinking in Williams bay at 24.1% compared to 16.8% in Kewanee.
- Obesity rates are higher in Kewanee at 38.5% compared to 36.4% in Williams bay.
- Disability percentages are the same in both Kewanee and Williams bay at 19.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kewanee | Williams bay |
---|---|---|
No Schooling | 1.5% (182) | 0.3% (9) |
High School Diploma | 23.5% (2,875) | 11.6% (345) |
Less than High School | 21.0% (2,571) | 1.4% (43) |
Bachelor's Degree and Higher | 9.8% (1,194) | 34.6% (1,028) |
Education Levels Comparison: Kewanee vs Williams bay
- A higher percentage of residents in Kewanee have no formal schooling at 1.5% compared to 0.3% in Williams bay.
- A higher percentage of residents in Kewanee hold a high school diploma at 23.5% compared to 11.6% in Williams bay.
- More residents in Kewanee have less than a high school education at 21.0% compared to 1.4% in Williams bay.
- In Williams bay, a larger share of residents have a bachelor's degree or higher at 34.6% compared to 9.8% in Kewanee.
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.