Demographics details for Washington, IA vs Jefferson, MD
Population Overview
Compare main population characteristics in Washington, IA vs Jefferson, MD.
| Data | Washington | Jefferson |
|---|---|---|
| Population | 22,571 | 2,742 |
| Median Age | 40.1 years | 41.4 years |
| Median Income | $71,122 | $137,667 |
| Married Families | 46.0% | 51.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 2.2 | 3.2 |
Population Comparison: Washington vs Jefferson
- In Washington, the population is higher at 22,571, compared to 2,742 in Jefferson.
- The median age in Jefferson is higher at 41.4 years, compared to 40.1 years in Washington.
- Jefferson has a higher median income of $137,667, compared to $71,122 in Washington.
- In Jefferson, the percentage of married families is higher at 51.0%, compared to 46.0% in Washington.
- Washington has a higher poverty level at 10% compared to 0% in Jefferson.
- Jefferson has a higher unemployment rate at 3.2% compared to 2.2% in Washington.
Demographics
Demographics Washington vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Washington | Jefferson |
|---|---|---|
| Black | Data is updating | 6 |
| White | 90 | 82 |
| Asian | Data is updating | 3 |
| Hispanic | 7 | 5 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Jefferson
- In Jefferson, the percentage of Black residents is higher at 6% compared to 0% in Washington.
- Washington has a higher percentage of White residents at 90% compared to 82% in Jefferson.
- In Jefferson, the Asian population stands at 3%, greater than 0% in Washington.
- The Hispanic community is larger in Washington at 7% compared to 5% in Jefferson.
- The percentage of residents identifying as two or more races is higher in Jefferson at 4%, compared to 3% in Washington.
- The percentage of American Indian residents is the same in both Washington and Jefferson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Jefferson |
|---|---|---|
| Mental Health Not Good | 15.1% | 14.8% |
| Physical Health Not Good | 9.6% | 7.8% |
| Depression | 18.5% | 20.4% |
| Smoking | 16.4% | 12.6% |
| Binge Drinking | 20.1% | 17.8% |
| Obesity | 36.8% | 32.1% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Washington vs Jefferson
- More residents in Washington report poor mental health at 15.1% compared to 14.8% in Jefferson.
- Higher depression rates are seen in Jefferson at 20.4% versus 18.5% in Washington.
- Smoking is more prevalent in Washington at 16.4% compared to 12.6% in Jefferson.
- Binge drinking is more common in Washington at 20.1% compared to 17.8% in Jefferson.
- Obesity rates are higher in Washington at 36.8% compared to 32.1% in Jefferson.
- Disability percentages are higher in Washington 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 | Washington | Jefferson |
|---|---|---|
| No Schooling | 0.2% (53) | 0.4% (10) |
| High School Diploma | 22.1% (4,989) | 18.8% (516) |
| Less than High School | 10.1% (2,285) | 2.3% (62) |
| Bachelor's Degree and Higher | 16.5% (3,735) | 27.4% (751) |
Education Levels Comparison: Washington vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Washington.
- A higher percentage of residents in Washington hold a high school diploma at 22.1% compared to 18.8% in Jefferson.
- More residents in Washington have less than a high school education at 10.1% compared to 2.3% in Jefferson.
- In Jefferson, a larger share of residents have a bachelor's degree or higher at 27.4% compared to 16.5% in Washington.
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.