Demographics details for Worcester, MA vs Washington, LA
Population Overview
Compare main population characteristics in Worcester, MA vs Washington, LA.
| Data | Worcester | Washington |
|---|---|---|
| Population | 205,319 | 726 |
| Median Age | 34.3 years | 26.6 years |
| Median Income | $63,011 | $36,719 |
| Married Families | 29.0% | 23.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 4.8 | 5.2 |
Population Comparison: Worcester vs Washington
- In Worcester, the population is higher at 205,319, compared to 726 in Washington.
- Residents in Worcester have a higher median age of 34.3 years compared to 26.6 years in Washington.
- Worcester has a higher median income of $63,011 compared to $36,719 in Washington.
- A higher percentage of married families is found in Worcester at 29.0% compared to 23.0% in Washington.
- The poverty level is higher in Washington at 15%, compared to 12% in Worcester.
- Washington has a higher unemployment rate at 5.2% compared to 4.8% in Worcester.
Demographics
Demographics Worcester vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Worcester | Washington |
|---|---|---|
| Black | 13 | 65 |
| White | 44 | 20 |
| Asian | 7 | Data is updating |
| Hispanic | 24 | 3 |
| Two or More Races | 12 | 12 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Worcester vs Washington
- In Washington, the percentage of Black residents is higher at 65% compared to 13% in Worcester.
- Worcester has a higher percentage of White residents at 44% compared to 20% in Washington.
- The Asian population is larger in Worcester at 7% compared to 0% in Washington.
- The Hispanic community is larger in Worcester at 24% compared to 3% in Washington.
- Both Worcester and Washington have the same percentage of residents identifying as two or more races at 12%.
- The percentage of American Indian residents is the same in both Worcester and Washington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Worcester | Washington |
|---|---|---|
| Mental Health Not Good | 18.7% | 21.1% |
| Physical Health Not Good | 11.8% | 15.3% |
| Depression | 23.1% | 25.5% |
| Smoking | 17.1% | 26.0% |
| Binge Drinking | 15.5% | 15.1% |
| Obesity | 34.8% | 41.5% |
| Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: Worcester vs Washington
- In Washington, a higher percentage report poor mental health at 21.1% compared to 18.7% in Worcester.
- Higher depression rates are seen in Washington at 25.5% versus 23.1% in Worcester.
- Washington has a higher smoking rate at 26.0% compared to 17.1% in Worcester.
- Binge drinking is more common in Worcester at 15.5% compared to 15.1% in Washington.
- Washington has higher obesity rates at 41.5% compared to 34.8% in Worcester.
- Disability percentages are higher in Worcester at 14.0% compared to 9.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Worcester | Washington |
|---|---|---|
| No Schooling | 1.7% (3,577) | 0.0% (Data is updating) |
| High School Diploma | 15.6% (31,987) | 20.2% (147) |
| Less than High School | 16.0% (32,925) | 27.7% (201) |
| Bachelor's Degree and Higher | 21.5% (44,155) | 7.3% (53) |
Education Levels Comparison: Worcester vs Washington
- A higher percentage of residents in Worcester have no formal schooling at 1.7% compared to 0.0% in Washington.
- In Washington, the rate of residents with high school diplomas is higher at 20.2% compared to 15.6% in Worcester.
- The percentage of residents with less than a high school education is higher in Washington at 27.7%, compared to 16.0% in Worcester.
- A higher percentage of residents in Worcester hold a bachelor's degree or higher at 21.5% 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.