Demographics details for Dellroy, OH vs Jefferson, SD
Population Overview
Compare main population characteristics in Dellroy, OH vs Jefferson, SD.
| Data | Dellroy | Jefferson |
|---|---|---|
| Population | 264 | 457 |
| Median Age | 47.3 years | 37.1 years |
| Median Income | $52,833 | $77,601 |
| Married Families | 50.0% | 59.0% |
| Poverty Level | 8% | 5% |
| Unemployment Rate | 4.5 | 2.3 |
Population Comparison: Dellroy vs Jefferson
- The population in Jefferson is higher at 457, compared to 264 in Dellroy.
- Residents in Dellroy have a higher median age of 47.3 years compared to 37.1 years in Jefferson.
- Jefferson has a higher median income of $77,601, compared to $52,833 in Dellroy.
- In Jefferson, the percentage of married families is higher at 59.0%, compared to 50.0% in Dellroy.
- Dellroy has a higher poverty level at 8% compared to 5% in Jefferson.
- The unemployment rate in Dellroy is higher at 4.5%, compared to 2.3% in Jefferson.
Demographics
Demographics Dellroy vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Dellroy | Jefferson |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 89 | 85 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 6 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Dellroy vs Jefferson
- The percentage of Black residents is the same in both Dellroy and Jefferson at 0%.
- Dellroy has a higher percentage of White residents at 89% compared to 85% in Jefferson.
- Both Dellroy and Jefferson have the same percentage of Asian residents at 0%.
- Jefferson has a higher percentage of Hispanic residents at 6%, compared to 5% in Dellroy.
- More residents identify as two or more races in Dellroy at 6% compared to 4% in Jefferson.
- In Jefferson, the percentage of American Indian residents is higher at 5%, compared to 0% in Dellroy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dellroy | Jefferson |
|---|---|---|
| Mental Health Not Good | 17.6% | 12.5% |
| Physical Health Not Good | 11.8% | 8.2% |
| Depression | 24.2% | 16.7% |
| Smoking | 22.1% | 14.5% |
| Binge Drinking | 18.6% | 20.4% |
| Obesity | 38.1% | 38.6% |
| Disability Percentage | 21.0% | 14.0% |
Health Statistics Comparison: Dellroy vs Jefferson
- More residents in Dellroy report poor mental health at 17.6% compared to 12.5% in Jefferson.
- Depression is more prevalent in Dellroy at 24.2% compared to 16.7% in Jefferson.
- Smoking is more prevalent in Dellroy at 22.1% compared to 14.5% in Jefferson.
- More residents engage in binge drinking in Jefferson at 20.4% compared to 18.6% in Dellroy.
- Jefferson has higher obesity rates at 38.6% compared to 38.1% in Dellroy.
- Disability percentages are higher in Dellroy at 21.0% compared to 14.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dellroy | Jefferson |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 36.0% (95) | 22.3% (102) |
| Less than High School | 24.2% (64) | 7.9% (36) |
| Bachelor's Degree and Higher | 4.5% (12) | 23.0% (105) |
Education Levels Comparison: Dellroy vs Jefferson
- The percentage of residents with no formal schooling is the same in both Dellroy and Jefferson at 0.0%.
- A higher percentage of residents in Dellroy hold a high school diploma at 36.0% compared to 22.3% in Jefferson.
- More residents in Dellroy have less than a high school education at 24.2% compared to 7.9% in Jefferson.
- In Jefferson, a larger share of residents have a bachelor's degree or higher at 23.0% compared to 4.5% in Dellroy.
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.