Demographics details for Washington, NC vs Willow street, PA
Population Overview
Compare main population characteristics in Washington, NC vs Willow street, PA.
Data | Washington | Willow street |
---|---|---|
Population | 10,828 | 9,640 |
Median Age | 48.0 years | 52.8 years |
Median Income | $38,927 | $100,727 |
Married Families | 34.0% | 53.0% |
Poverty Level | 16% | 5% |
Unemployment Rate | 4.8 | 3.2 |
Population Comparison: Washington vs Willow street
- In Washington, the population is higher at 10,828, compared to 9,640 in Willow street.
- The median age in Willow street is higher at 52.8 years, compared to 48.0 years in Washington.
- Willow street has a higher median income of $100,727, compared to $38,927 in Washington.
- In Willow street, the percentage of married families is higher at 53.0%, compared to 34.0% in Washington.
- Washington has a higher poverty level at 16% compared to 5% in Willow street.
- The unemployment rate in Washington is higher at 4.8%, compared to 3.2% in Willow street.
Demographics
Demographics Washington vs Willow street provide insight into the diversity of the communities to compare.
Demographic | Washington | Willow street |
---|---|---|
Black | 49 | 2 |
White | 41 | 81 |
Asian | Data is updating | 4 |
Hispanic | 6 | 7 |
Two or More Races | 3 | 5 |
American Indian | 1 | 1 |
Demographics Comparison: Washington vs Willow street
- A higher percentage of Black residents are in Washington at 49% compared to 2% in Willow street.
- The percentage of White residents is higher in Willow street at 81% compared to 41% in Washington.
- In Willow street, the Asian population stands at 4%, greater than 0% in Washington.
- Willow street has a higher percentage of Hispanic residents at 7%, compared to 6% in Washington.
- The percentage of residents identifying as two or more races is higher in Willow street at 5%, compared to 3% in Washington.
- The percentage of American Indian residents is the same in both Washington and Willow street at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Washington | Willow street |
---|---|---|
Mental Health Not Good | 18.3% | 14.8% |
Physical Health Not Good | 13.8% | 9.7% |
Depression | 22.8% | 22.3% |
Smoking | 21.9% | 14.9% |
Binge Drinking | 14.7% | 18.7% |
Obesity | 43.3% | 32.9% |
Disability Percentage | 24.0% | 17.0% |
Health Statistics Comparison: Washington vs Willow street
- More residents in Washington report poor mental health at 18.3% compared to 14.8% in Willow street.
- Depression is more prevalent in Washington at 22.8% compared to 22.3% in Willow street.
- Smoking is more prevalent in Washington at 21.9% compared to 14.9% in Willow street.
- More residents engage in binge drinking in Willow street at 18.7% compared to 14.7% in Washington.
- Obesity rates are higher in Washington at 43.3% compared to 32.9% in Willow street.
- Disability percentages are higher in Washington at 24.0% compared to 17.0% in Willow street.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Washington | Willow street |
---|---|---|
No Schooling | 1.2% (128) | 0.3% (32) |
High School Diploma | 19.0% (2,058) | 17.8% (1,717) |
Less than High School | 13.7% (1,487) | 7.6% (734) |
Bachelor's Degree and Higher | 10.3% (1,118) | 36.5% (3,517) |
Education Levels Comparison: Washington vs Willow street
- A higher percentage of residents in Washington have no formal schooling at 1.2% compared to 0.3% in Willow street.
- A higher percentage of residents in Washington hold a high school diploma at 19.0% compared to 17.8% in Willow street.
- More residents in Washington have less than a high school education at 13.7% compared to 7.6% in Willow street.
- In Willow street, a larger share of residents have a bachelor's degree or higher at 36.5% compared to 10.3% 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.