Demographics details for Washington, NC vs Spring city, PA
Population Overview
Compare main population characteristics in Washington, NC vs Spring city, PA.
| Data | Washington | Spring city |
|---|---|---|
| Population | 10,828 | 3,495 |
| Median Age | 48.0 years | 36.7 years |
| Median Income | $38,927 | $70,181 |
| Married Families | 34.0% | 30.0% |
| Poverty Level | 16% | 5% |
| Unemployment Rate | 4.8 | 2.5 |
Population Comparison: Washington vs Spring city
- In Washington, the population is higher at 10,828, compared to 3,495 in Spring city.
- Residents in Washington have a higher median age of 48.0 years compared to 36.7 years in Spring city.
- Spring city has a higher median income of $70,181, compared to $38,927 in Washington.
- A higher percentage of married families is found in Washington at 34.0% compared to 30.0% in Spring city.
- Washington has a higher poverty level at 16% compared to 5% in Spring city.
- The unemployment rate in Washington is higher at 4.8%, compared to 2.5% in Spring city.
Demographics
Demographics Washington vs Spring city provide insight into the diversity of the communities to compare.
| Demographic | Washington | Spring city |
|---|---|---|
| Black | 49 | 4 |
| White | 41 | 85 |
| Asian | Data is updating | 2 |
| Hispanic | 6 | 6 |
| Two or More Races | 3 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Washington vs Spring city
- A higher percentage of Black residents are in Washington at 49% compared to 4% in Spring city.
- The percentage of White residents is higher in Spring city at 85% compared to 41% in Washington.
- In Spring city, the Asian population stands at 2%, greater than 0% in Washington.
- The percentage of Hispanic residents is the same in both Washington and Spring city at 6%.
- Both Washington and Spring city have the same percentage of residents identifying as two or more races at 3%.
- A greater percentage of American Indian residents live in Washington at 1% compared to 0% in Spring city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Spring city |
|---|---|---|
| Mental Health Not Good | 18.3% | 15.8% |
| Physical Health Not Good | 13.8% | 10.8% |
| Depression | 22.8% | 23.0% |
| Smoking | 21.9% | 16.9% |
| Binge Drinking | 14.7% | 18.9% |
| Obesity | 43.3% | 34.8% |
| Disability Percentage | 24.0% | 20.0% |
Health Statistics Comparison: Washington vs Spring city
- More residents in Washington report poor mental health at 18.3% compared to 15.8% in Spring city.
- Higher depression rates are seen in Spring city at 23.0% versus 22.8% in Washington.
- Smoking is more prevalent in Washington at 21.9% compared to 16.9% in Spring city.
- More residents engage in binge drinking in Spring city at 18.9% compared to 14.7% in Washington.
- Obesity rates are higher in Washington at 43.3% compared to 34.8% in Spring city.
- Disability percentages are higher in Washington at 24.0% compared to 20.0% in Spring city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Spring city |
|---|---|---|
| No Schooling | 1.2% (128) | 1.0% (34) |
| High School Diploma | 19.0% (2,058) | 17.5% (613) |
| Less than High School | 13.7% (1,487) | 8.8% (309) |
| Bachelor's Degree and Higher | 10.3% (1,118) | 28.0% (980) |
Education Levels Comparison: Washington vs Spring city
- A higher percentage of residents in Washington have no formal schooling at 1.2% compared to 1.0% in Spring city.
- A higher percentage of residents in Washington hold a high school diploma at 19.0% compared to 17.5% in Spring city.
- More residents in Washington have less than a high school education at 13.7% compared to 8.8% in Spring city.
- In Spring city, a larger share of residents have a bachelor's degree or higher at 28.0% 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.