Demographics details for Jefferson, MD vs Troy, OH
Population Overview
Compare main population characteristics in Jefferson, MD vs Troy, OH.
| Data | Jefferson | Troy |
|---|---|---|
| Population | 2,742 | 26,679 |
| Median Age | 41.4 years | 38.2 years |
| Median Income | $137,667 | $69,730 |
| Married Families | 51.0% | 41.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 3.2 | 4.6 |
Population Comparison: Jefferson vs Troy
- The population in Troy is higher at 26,679, compared to 2,742 in Jefferson.
- Residents in Jefferson have a higher median age of 41.4 years compared to 38.2 years in Troy.
- Jefferson has a higher median income of $137,667 compared to $69,730 in Troy.
- A higher percentage of married families is found in Jefferson at 51.0% compared to 41.0% in Troy.
- The poverty level is higher in Troy at 10%, compared to 0% in Jefferson.
- Troy has a higher unemployment rate at 4.6% compared to 3.2% in Jefferson.
Demographics
Demographics Jefferson vs Troy provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Troy |
|---|---|---|
| Black | 6 | 3 |
| White | 82 | 83 |
| Asian | 3 | 5 |
| Hispanic | 5 | 3 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Jefferson vs Troy
- A higher percentage of Black residents are in Jefferson at 6% compared to 3% in Troy.
- The percentage of White residents is higher in Troy at 83% compared to 82% in Jefferson.
- In Troy, the Asian population stands at 5%, greater than 3% in Jefferson.
- The Hispanic community is larger in Jefferson at 5% compared to 3% in Troy.
- The percentage of residents identifying as two or more races is higher in Troy at 6%, compared to 4% in Jefferson.
- The percentage of American Indian residents is the same in both Jefferson and Troy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Troy |
|---|---|---|
| Mental Health Not Good | 14.8% | 17.2% |
| Physical Health Not Good | 7.8% | 11.6% |
| Depression | 20.4% | 22.5% |
| Smoking | 12.6% | 19.6% |
| Binge Drinking | 17.8% | 17.6% |
| Obesity | 32.1% | 39.9% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Jefferson vs Troy
- In Troy, a higher percentage report poor mental health at 17.2% compared to 14.8% in Jefferson.
- Higher depression rates are seen in Troy at 22.5% versus 20.4% in Jefferson.
- Troy has a higher smoking rate at 19.6% compared to 12.6% in Jefferson.
- Binge drinking is more common in Jefferson at 17.8% compared to 17.6% in Troy.
- Troy has higher obesity rates at 39.9% compared to 32.1% in Jefferson.
- There is a higher percentage of disabled individuals in Troy at 12.0% compared to 11.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Troy |
|---|---|---|
| No Schooling | 0.4% (10) | 0.4% (107) |
| High School Diploma | 18.8% (516) | 18.8% (5,006) |
| Less than High School | 2.3% (62) | 9.8% (2,620) |
| Bachelor's Degree and Higher | 27.4% (751) | 20.6% (5,490) |
Education Levels Comparison: Jefferson vs Troy
- The percentage of residents with no formal schooling is the same in both Jefferson and Troy at 0.4%.
- Both cities have the same percentage of residents with high school diplomas at 18.8%.
- The percentage of residents with less than a high school education is higher in Troy at 9.8%, compared to 2.3% in Jefferson.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 27.4% compared to 20.6% in Troy.
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.