Demographics details for Otto, NC vs Kewanee, IL
Population Overview
Compare main population characteristics in Otto, NC vs Kewanee, IL.
| Data | Otto | Kewanee |
|---|---|---|
| Population | 1,000 | 12,229 |
| Median Age | 45.0 years | 43.5 years |
| Median Income | $50,000 | $46,305 |
| Married Families | 300.0% | 34.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.5 | 5.2 |
Population Comparison: Otto vs Kewanee
- The population in Kewanee is higher at 12,229, compared to 1,000 in Otto.
- Residents in Otto have a higher median age of 45.0 years compared to 43.5 years in Kewanee.
- Otto has a higher median income of $50,000 compared to $46,305 in Kewanee.
- A higher percentage of married families is found in Otto at 300.0% compared to 34.0% in Kewanee.
- The poverty level is identical in both Otto and Kewanee at 12%.
- Kewanee has a higher unemployment rate at 5.2% compared to 4.5% in Otto.
Demographics
Demographics Otto vs Kewanee provide insight into the diversity of the communities to compare.
| Demographic | Otto | Kewanee |
|---|---|---|
| Black | 5 | 7 |
| White | 95 | 78 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 11 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Otto vs Kewanee
- In Kewanee, the percentage of Black residents is higher at 7% compared to 5% in Otto.
- Otto has a higher percentage of White residents at 95% compared to 78% in Kewanee.
- Both Otto and Kewanee have the same percentage of Asian residents at 0%.
- Kewanee has a higher percentage of Hispanic residents at 11%, compared to 0% in Otto.
- The percentage of residents identifying as two or more races is higher in Kewanee at 4%, compared to 0% in Otto.
- The percentage of American Indian residents is the same in both Otto and Kewanee at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Otto | Kewanee |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.2% |
| Physical Health Not Good | Data is updating% | 13.3% |
| Depression | Data is updating% | 22.7% |
| Smoking | Data is updating% | 21.4% |
| Binge Drinking | Data is updating% | 16.8% |
| Obesity | Data is updating% | 38.5% |
| Disability Percentage | Data is updating% | 19.0% |
Health Statistics Comparison: Otto vs Kewanee
- In Kewanee, a higher percentage report poor mental health at 18.2% compared to 0.0% in Otto.
- Higher depression rates are seen in Kewanee at 22.7% versus 0.0% in Otto.
- Kewanee has a higher smoking rate at 21.4% compared to 0.0% in Otto.
- More residents engage in binge drinking in Kewanee at 16.8% compared to 0.0% in Otto.
- Kewanee has higher obesity rates at 38.5% compared to 0.0% in Otto.
- There is a higher percentage of disabled individuals in Kewanee at 19.0% compared to 0.0% in Otto.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Otto | Kewanee |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.5% (182) |
| High School Diploma | 0.0% (Data is updating) | 23.5% (2,875) |
| Less than High School | 0.0% (Data is updating) | 21.0% (2,571) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 9.8% (1,194) |
Education Levels Comparison: Otto vs Kewanee
- In Kewanee, a larger percentage of residents lack formal schooling at 1.5% compared to 0.0% in Otto.
- In Kewanee, the rate of residents with high school diplomas is higher at 23.5% compared to 0.0% in Otto.
- The percentage of residents with less than a high school education is higher in Kewanee at 21.0%, compared to 0.0% in Otto.
- In Kewanee, a larger share of residents have a bachelor's degree or higher at 9.8% compared to 0.0% in Otto.
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.