Demographics details for White swan, WA vs Monroe, NC
Population Overview
Compare main population characteristics in White swan, WA vs Monroe, NC.
| Data | White swan | Monroe |
|---|---|---|
| Population | 561 | 36,018 |
| Median Age | 24.5 years | 36.1 years |
| Median Income | $51,667 | $63,982 |
| Married Families | 13.0% | 36.0% |
| Poverty Level | 12% | 11% |
| Unemployment Rate | 8.2 | 3.9 |
Population Comparison: White swan vs Monroe
- The population in Monroe is higher at 36,018, compared to 561 in White swan.
- The median age in Monroe is higher at 36.1 years, compared to 24.5 years in White swan.
- Monroe has a higher median income of $63,982, compared to $51,667 in White swan.
- In Monroe, the percentage of married families is higher at 36.0%, compared to 13.0% in White swan.
- White swan has a higher poverty level at 12% compared to 11% in Monroe.
- The unemployment rate in White swan is higher at 8.2%, compared to 3.9% in Monroe.
Demographics
Demographics White swan vs Monroe provide insight into the diversity of the communities to compare.
| Demographic | White swan | Monroe |
|---|---|---|
| Black | Data is updating | 22 |
| White | -6 | 41 |
| Asian | Data is updating | 1 |
| Hispanic | 26 | 27 |
| Two or More Races | 10 | 8 |
| American Indian | 70 | 1 |
Demographics Comparison: White swan vs Monroe
- In Monroe, the percentage of Black residents is higher at 22% compared to 0% in White swan.
- The percentage of White residents is higher in Monroe at 41% compared to -6% in White swan.
- In Monroe, the Asian population stands at 1%, greater than 0% in White swan.
- Monroe has a higher percentage of Hispanic residents at 27%, compared to 26% in White swan.
- More residents identify as two or more races in White swan at 10% compared to 8% in Monroe.
- A greater percentage of American Indian residents live in White swan at 70% compared to 1% in Monroe.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White swan | Monroe |
|---|---|---|
| Mental Health Not Good | 22.0% | 17.0% |
| Physical Health Not Good | 18.1% | 13.0% |
| Depression | 24.7% | 22.0% |
| Smoking | 26.0% | 19.0% |
| Binge Drinking | 15.8% | 15.8% |
| Obesity | 43.8% | 37.7% |
| Disability Percentage | 21.0% | 10.0% |
Health Statistics Comparison: White swan vs Monroe
- More residents in White swan report poor mental health at 22.0% compared to 17.0% in Monroe.
- Depression is more prevalent in White swan at 24.7% compared to 22.0% in Monroe.
- Smoking is more prevalent in White swan at 26.0% compared to 19.0% in Monroe.
- Binge drinking rates are similar in both White swan and Monroe at 15.8%.
- Obesity rates are higher in White swan at 43.8% compared to 37.7% in Monroe.
- Disability percentages are higher in White swan at 21.0% compared to 10.0% in Monroe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | White swan | Monroe |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.0% (716) |
| High School Diploma | 16.4% (92) | 14.8% (5,322) |
| Less than High School | 24.8% (139) | 20.0% (7,220) |
| Bachelor's Degree and Higher | 0.9% (5) | 12.7% (4,559) |
Education Levels Comparison: White swan vs Monroe
- In Monroe, a larger percentage of residents lack formal schooling at 2.0% compared to 0.0% in White swan.
- A higher percentage of residents in White swan hold a high school diploma at 16.4% compared to 14.8% in Monroe.
- More residents in White swan have less than a high school education at 24.8% compared to 20.0% in Monroe.
- In Monroe, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 0.9% in White swan.
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.