Demographics details for Washington, LA vs Marietta, GA
Population Overview
Compare main population characteristics in Washington, LA vs Marietta, GA.
| Data | Washington | Marietta |
|---|---|---|
| Population | 726 | 62,602 |
| Median Age | 26.6 years | 35.2 years |
| Median Income | $36,719 | $67,589 |
| Married Families | 23.0% | 31.0% |
| Poverty Level | 15% | 11% |
| Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Washington vs Marietta
- The population in Marietta is higher at 62,602, compared to 726 in Washington.
- The median age in Marietta is higher at 35.2 years, compared to 26.6 years in Washington.
- Marietta has a higher median income of $67,589, compared to $36,719 in Washington.
- In Marietta, the percentage of married families is higher at 31.0%, compared to 23.0% in Washington.
- Washington has a higher poverty level at 15% compared to 11% in Marietta.
- The unemployment rate in Washington is higher at 5.2%, compared to 3.5% in Marietta.
Demographics
Demographics Washington vs Marietta provide insight into the diversity of the communities to compare.
| Demographic | Washington | Marietta |
|---|---|---|
| Black | 65 | 30 |
| White | 20 | 41 |
| Asian | Data is updating | 2 |
| Hispanic | 3 | 18 |
| Two or More Races | 12 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Washington vs Marietta
- A higher percentage of Black residents are in Washington at 65% compared to 30% in Marietta.
- The percentage of White residents is higher in Marietta at 41% compared to 20% in Washington.
- In Marietta, the Asian population stands at 2%, greater than 0% in Washington.
- Marietta has a higher percentage of Hispanic residents at 18%, compared to 3% in Washington.
- More residents identify as two or more races in Washington at 12% compared to 8% in Marietta.
- In Marietta, the percentage of American Indian residents is higher at 1%, compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Marietta |
|---|---|---|
| Mental Health Not Good | 21.1% | 15.1% |
| Physical Health Not Good | 15.3% | 11.1% |
| Depression | 25.5% | 18.1% |
| Smoking | 26.0% | 14.5% |
| Binge Drinking | 15.1% | 14.5% |
| Obesity | 41.5% | 32.3% |
| Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Washington vs Marietta
- More residents in Washington report poor mental health at 21.1% compared to 15.1% in Marietta.
- Depression is more prevalent in Washington at 25.5% compared to 18.1% in Marietta.
- Smoking is more prevalent in Washington at 26.0% compared to 14.5% in Marietta.
- Binge drinking is more common in Washington at 15.1% compared to 14.5% in Marietta.
- Obesity rates are higher in Washington at 41.5% compared to 32.3% in Marietta.
- Disability percentages are the same in both Washington and Marietta at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Marietta |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.8% (1,148) |
| High School Diploma | 20.2% (147) | 10.0% (6,250) |
| Less than High School | 27.7% (201) | 13.1% (8,224) |
| Bachelor's Degree and Higher | 7.3% (53) | 29.9% (18,706) |
Education Levels Comparison: Washington vs Marietta
- In Marietta, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Washington.
- A higher percentage of residents in Washington hold a high school diploma at 20.2% compared to 10.0% in Marietta.
- More residents in Washington have less than a high school education at 27.7% compared to 13.1% in Marietta.
- In Marietta, a larger share of residents have a bachelor's degree or higher at 29.9% compared to 7.3% 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.