Demographics details for Dupont, WA vs Baltimore, MD
Population Overview
Compare main population characteristics in Dupont, WA vs Baltimore, MD.
| Data | Dupont | Baltimore |
|---|---|---|
| Population | 9,884 | 569,931 |
| Median Age | 34.2 years | 36.0 years |
| Median Income | $106,695 | $58,349 |
| Married Families | 51.0% | 23.0% |
| Poverty Level | 4% | 16% |
| Unemployment Rate | 4.2 | 4.3 |
Population Comparison: Dupont vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 9,884 in Dupont.
- The median age in Baltimore is higher at 36.0 years, compared to 34.2 years in Dupont.
- Dupont has a higher median income of $106,695 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Dupont at 51.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 4% in Dupont.
- Baltimore has a higher unemployment rate at 4.3% compared to 4.2% in Dupont.
Demographics
Demographics Dupont vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Dupont | Baltimore |
|---|---|---|
| Black | 8 | 63 |
| White | 57 | 23 |
| Asian | 11 | 3 |
| Hispanic | 12 | 6 |
| Two or More Races | 11 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Dupont vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 8% in Dupont.
- Dupont has a higher percentage of White residents at 57% compared to 23% in Baltimore.
- The Asian population is larger in Dupont at 11% compared to 3% in Baltimore.
- The Hispanic community is larger in Dupont at 12% compared to 6% in Baltimore.
- More residents identify as two or more races in Dupont at 11% compared to 5% in Baltimore.
- A greater percentage of American Indian residents live in Dupont at 1% compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dupont | Baltimore |
|---|---|---|
| Mental Health Not Good | 15.3% | 17.9% |
| Physical Health Not Good | 8.3% | 12.3% |
| Depression | 23.8% | 20.2% |
| Smoking | 9.0% | 19.8% |
| Binge Drinking | 17.3% | 15.4% |
| Obesity | 29.3% | 37.1% |
| Disability Percentage | 8.0% | 16.0% |
Health Statistics Comparison: Dupont vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 15.3% in Dupont.
- Depression is more prevalent in Dupont at 23.8% compared to 20.2% in Baltimore.
- Baltimore has a higher smoking rate at 19.8% compared to 9.0% in Dupont.
- Binge drinking is more common in Dupont at 17.3% compared to 15.4% in Baltimore.
- Baltimore has higher obesity rates at 37.1% compared to 29.3% in Dupont.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 8.0% in Dupont.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dupont | Baltimore |
|---|---|---|
| No Schooling | 0.3% (33) | 1.2% (6,683) |
| High School Diploma | 4.7% (462) | 16.8% (95,744) |
| Less than High School | 2.7% (265) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 34.8% (3,436) | 25.1% (143,174) |
Education Levels Comparison: Dupont vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 0.3% in Dupont.
- In Baltimore, the rate of residents with high school diplomas is higher at 16.8% compared to 4.7% in Dupont.
- The percentage of residents with less than a high school education is higher in Baltimore at 11.9%, compared to 2.7% in Dupont.
- A higher percentage of residents in Dupont hold a bachelor's degree or higher at 34.8% compared to 25.1% in Baltimore.
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.