Demographics details for Suffolk, VA vs Monroe, NY
Population Overview
Compare main population characteristics in Suffolk, VA vs Monroe, NY.
| Data | Suffolk | Monroe |
|---|---|---|
| Population | 98,537 | 39,912 |
| Median Age | 38.5 years | 40.0 years |
| Median Income | $87,758 | $90,000 |
| Married Families | 40.0% | 60.0% |
| Poverty Level | 7% | 5% |
| Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Suffolk vs Monroe
- In Suffolk, the population is higher at 98,537, compared to 39,912 in Monroe.
- The median age in Monroe is higher at 40.0 years, compared to 38.5 years in Suffolk.
- Monroe has a higher median income of $90,000, compared to $87,758 in Suffolk.
- In Monroe, the percentage of married families is higher at 60.0%, compared to 40.0% in Suffolk.
- Suffolk has a higher poverty level at 7% compared to 5% in Monroe.
- Monroe has a higher unemployment rate at 4.0% compared to 3.2% in Suffolk.
Demographics
Demographics Suffolk vs Monroe provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Monroe |
|---|---|---|
| Black | 40 | 5 |
| White | 47 | 85 |
| Asian | 2 | 5 |
| Hispanic | 5 | 5 |
| Two or More Races | 6 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Suffolk vs Monroe
- A higher percentage of Black residents are in Suffolk at 40% compared to 5% in Monroe.
- The percentage of White residents is higher in Monroe at 85% compared to 47% in Suffolk.
- In Monroe, the Asian population stands at 5%, greater than 2% in Suffolk.
- The percentage of Hispanic residents is the same in both Suffolk and Monroe at 5%.
- More residents identify as two or more races in Suffolk at 6% compared to 0% in Monroe.
- The percentage of American Indian residents is the same in both Suffolk and Monroe at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Monroe |
|---|---|---|
| Mental Health Not Good | 16.6% | Data is updating% |
| Physical Health Not Good | 10.6% | Data is updating% |
| Depression | 21.4% | Data is updating% |
| Smoking | 15.3% | Data is updating% |
| Binge Drinking | 16.6% | Data is updating% |
| Obesity | 42.4% | Data is updating% |
| Disability Percentage | 11.0% | Data is updating% |
Health Statistics Comparison: Suffolk vs Monroe
- More residents in Suffolk report poor mental health at 16.6% compared to 0.0% in Monroe.
- Depression is more prevalent in Suffolk at 21.4% compared to 0.0% in Monroe.
- Smoking is more prevalent in Suffolk at 15.3% compared to 0.0% in Monroe.
- Binge drinking is more common in Suffolk at 16.6% compared to 0.0% in Monroe.
- Obesity rates are higher in Suffolk at 42.4% compared to 0.0% in Monroe.
- Disability percentages are higher in Suffolk at 11.0% compared to 0.0% in Monroe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Suffolk | Monroe |
|---|---|---|
| No Schooling | 1.0% (965) | 0.0% (Data is updating) |
| High School Diploma | 14.9% (14,643) | 0.0% (Data is updating) |
| Less than High School | 7.8% (7,701) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 0.0% (Data is updating) |
Education Levels Comparison: Suffolk vs Monroe
- A higher percentage of residents in Suffolk have no formal schooling at 1.0% compared to 0.0% in Monroe.
- A higher percentage of residents in Suffolk hold a high school diploma at 14.9% compared to 0.0% in Monroe.
- More residents in Suffolk have less than a high school education at 7.8% compared to 0.0% in Monroe.
- A higher percentage of residents in Suffolk hold a bachelor's degree or higher at 21.0% compared to 0.0% in Monroe.
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.