Demographics details for Ulysses, NE vs Dayton, OH
Population Overview
Compare main population characteristics in Ulysses, NE vs Dayton, OH.
| Data | Ulysses | Dayton |
|---|---|---|
| Population | 192 | 135,944 |
| Median Age | 47.0 years | 34.0 years |
| Median Income | $52,083 | $41,443 |
| Married Families | 47.0% | 21.0% |
| Poverty Level | 5% | 18% |
| Unemployment Rate | 2.0 | 6.8 |
Population Comparison: Ulysses vs Dayton
- The population in Dayton is higher at 135,944, compared to 192 in Ulysses.
- Residents in Ulysses have a higher median age of 47.0 years compared to 34.0 years in Dayton.
- Ulysses has a higher median income of $52,083 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Ulysses at 47.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 5% in Ulysses.
- Dayton has a higher unemployment rate at 6.8% compared to 2.0% in Ulysses.
Demographics
Demographics Ulysses vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Ulysses | Dayton |
|---|---|---|
| Black | Data is updating | 38 |
| White | 92 | 50 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 5 |
| Two or More Races | 6 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Ulysses vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 0% in Ulysses.
- Ulysses has a higher percentage of White residents at 92% compared to 50% in Dayton.
- In Dayton, the Asian population stands at 1%, greater than 0% in Ulysses.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 1% in Ulysses.
- Both Ulysses and Dayton have the same percentage of residents identifying as two or more races at 6%.
- A greater percentage of American Indian residents live in Ulysses at 1% compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ulysses | Dayton |
|---|---|---|
| Mental Health Not Good | 13.6% | 21.9% |
| Physical Health Not Good | 9.0% | 16.5% |
| Depression | 16.3% | 26.5% |
| Smoking | 15.8% | 26.0% |
| Binge Drinking | 23.1% | 15.2% |
| Obesity | 39.9% | 47.6% |
| Disability Percentage | 9.0% | 18.0% |
Health Statistics Comparison: Ulysses vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 13.6% in Ulysses.
- Higher depression rates are seen in Dayton at 26.5% versus 16.3% in Ulysses.
- Dayton has a higher smoking rate at 26.0% compared to 15.8% in Ulysses.
- Binge drinking is more common in Ulysses at 23.1% compared to 15.2% in Dayton.
- Dayton has higher obesity rates at 47.6% compared to 39.9% in Ulysses.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 9.0% in Ulysses.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ulysses | Dayton |
|---|---|---|
| No Schooling | 0.5% (1) | 0.9% (1,157) |
| High School Diploma | 20.8% (40) | 16.3% (22,101) |
| Less than High School | 14.1% (27) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 9.4% (18) | 12.7% (17,260) |
Education Levels Comparison: Ulysses vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 0.9% compared to 0.5% in Ulysses.
- A higher percentage of residents in Ulysses hold a high school diploma at 20.8% compared to 16.3% in Dayton.
- More residents in Ulysses have less than a high school education at 14.1% compared to 13.9% in Dayton.
- In Dayton, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 9.4% in Ulysses.
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.