Demographics details for Williston, ND vs Otto, NC
Population Overview
Compare main population characteristics in Williston, ND vs Otto, NC.
| Data | Williston | Otto |
|---|---|---|
| Population | 27,029 | 1,000 |
| Median Age | 31.4 years | 45.0 years |
| Median Income | $80,352 | $50,000 |
| Married Families | 37.0% | 300.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 2.3 | 4.5 |
Population Comparison: Williston vs Otto
- In Williston, the population is higher at 27,029, compared to 1,000 in Otto.
- The median age in Otto is higher at 45.0 years, compared to 31.4 years in Williston.
- Williston has a higher median income of $80,352 compared to $50,000 in Otto.
- In Otto, the percentage of married families is higher at 300.0%, compared to 37.0% in Williston.
- The poverty level is higher in Otto at 12%, compared to 9% in Williston.
- Otto has a higher unemployment rate at 4.5% compared to 2.3% in Williston.
Demographics
Demographics Williston vs Otto provide insight into the diversity of the communities to compare.
| Demographic | Williston | Otto |
|---|---|---|
| Black | 7 | 5 |
| White | 73 | 95 |
| Asian | 1 | Data is updating |
| Hispanic | 12 | Data is updating |
| Two or More Races | 6 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Williston vs Otto
- A higher percentage of Black residents are in Williston at 7% compared to 5% in Otto.
- The percentage of White residents is higher in Otto at 95% compared to 73% in Williston.
- The Asian population is larger in Williston at 1% compared to 0% in Otto.
- The Hispanic community is larger in Williston at 12% compared to 0% in Otto.
- More residents identify as two or more races in Williston at 6% compared to 0% in Otto.
- A greater percentage of American Indian residents live in Williston at 1% compared to 0% in Otto.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Williston | Otto |
|---|---|---|
| Mental Health Not Good | 13.5% | Data is updating% |
| Physical Health Not Good | 9.2% | Data is updating% |
| Depression | 18.7% | Data is updating% |
| Smoking | 16.4% | Data is updating% |
| Binge Drinking | 23.5% | Data is updating% |
| Obesity | 37.4% | Data is updating% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Williston vs Otto
- More residents in Williston report poor mental health at 13.5% compared to 0.0% in Otto.
- Depression is more prevalent in Williston at 18.7% compared to 0.0% in Otto.
- Smoking is more prevalent in Williston at 16.4% compared to 0.0% in Otto.
- Binge drinking is more common in Williston at 23.5% compared to 0.0% in Otto.
- Obesity rates are higher in Williston at 37.4% compared to 0.0% in Otto.
- Disability percentages are higher in Williston at 10.0% 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 | Williston | Otto |
|---|---|---|
| No Schooling | 0.9% (255) | 0.0% (Data is updating) |
| High School Diploma | 16.5% (4,465) | 0.0% (Data is updating) |
| Less than High School | 12.4% (3,347) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 16.6% (4,481) | 0.0% (Data is updating) |
Education Levels Comparison: Williston vs Otto
- A higher percentage of residents in Williston have no formal schooling at 0.9% compared to 0.0% in Otto.
- A higher percentage of residents in Williston hold a high school diploma at 16.5% compared to 0.0% in Otto.
- More residents in Williston have less than a high school education at 12.4% compared to 0.0% in Otto.
- A higher percentage of residents in Williston hold a bachelor's degree or higher at 16.6% 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.