Demographics details for Otto, NC vs Whiting, KS
Population Overview
Compare main population characteristics in Otto, NC vs Whiting, KS.
| Data | Otto | Whiting |
|---|---|---|
| Population | 1,000 | 195 |
| Median Age | 45.0 years | 33.7 years |
| Median Income | $50,000 | $52,000 |
| Married Families | 300.0% | 47.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 4.5 | Data is updating |
Population Comparison: Otto vs Whiting
- In Otto, the population is higher at 1,000, compared to 195 in Whiting.
- Residents in Otto have a higher median age of 45.0 years compared to 33.7 years in Whiting.
- Whiting has a higher median income of $52,000, compared to $50,000 in Otto.
- A higher percentage of married families is found in Otto at 300.0% compared to 47.0% in Whiting.
- Otto has a higher poverty level at 12% compared to 0% in Whiting.
- The unemployment rate in Otto is higher at 4.5%, compared to 0.0% in Whiting.
Demographics
Demographics Otto vs Whiting provide insight into the diversity of the communities to compare.
| Demographic | Otto | Whiting |
|---|---|---|
| Black | 5 | Data is updating |
| White | 95 | 87 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 2 |
| Two or More Races | Data is updating | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Otto vs Whiting
- A higher percentage of Black residents are in Otto at 5% compared to 0% in Whiting.
- Otto has a higher percentage of White residents at 95% compared to 87% in Whiting.
- Both Otto and Whiting have the same percentage of Asian residents at 0%.
- Whiting has a higher percentage of Hispanic residents at 2%, compared to 0% in Otto.
- The percentage of residents identifying as two or more races is higher in Whiting at 11%, compared to 0% in Otto.
- The percentage of American Indian residents is the same in both Otto and Whiting at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Otto | Whiting |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.1% |
| Physical Health Not Good | Data is updating% | 9.9% |
| Depression | Data is updating% | 22.9% |
| Smoking | Data is updating% | 17.9% |
| Binge Drinking | Data is updating% | 19.3% |
| Obesity | Data is updating% | 39.3% |
| Disability Percentage | Data is updating% | 13.0% |
Health Statistics Comparison: Otto vs Whiting
- In Whiting, a higher percentage report poor mental health at 16.1% compared to 0.0% in Otto.
- Higher depression rates are seen in Whiting at 22.9% versus 0.0% in Otto.
- Whiting has a higher smoking rate at 17.9% compared to 0.0% in Otto.
- More residents engage in binge drinking in Whiting at 19.3% compared to 0.0% in Otto.
- Whiting has higher obesity rates at 39.3% compared to 0.0% in Otto.
- There is a higher percentage of disabled individuals in Whiting at 13.0% 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 | Whiting |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 28.7% (56) |
| Less than High School | 0.0% (Data is updating) | 9.2% (18) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 14.9% (29) |
Education Levels Comparison: Otto vs Whiting
- The percentage of residents with no formal schooling is the same in both Otto and Whiting at 0.0%.
- In Whiting, the rate of residents with high school diplomas is higher at 28.7% compared to 0.0% in Otto.
- The percentage of residents with less than a high school education is higher in Whiting at 9.2%, compared to 0.0% in Otto.
- In Whiting, a larger share of residents have a bachelor's degree or higher at 14.9% 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.