Demographics details for Suffolk, VA vs Manly, IA
Population Overview
Compare main population characteristics in Suffolk, VA vs Manly, IA.
| Data | Suffolk | Manly |
|---|---|---|
| Population | 98,537 | 1,237 |
| Median Age | 38.5 years | 40.7 years |
| Median Income | $87,758 | $64,688 |
| Married Families | 40.0% | 43.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.2 | 3.1 |
Population Comparison: Suffolk vs Manly
- In Suffolk, the population is higher at 98,537, compared to 1,237 in Manly.
- The median age in Manly is higher at 40.7 years, compared to 38.5 years in Suffolk.
- Suffolk has a higher median income of $87,758 compared to $64,688 in Manly.
- In Manly, the percentage of married families is higher at 43.0%, compared to 40.0% in Suffolk.
- The poverty level is higher in Manly at 12%, compared to 7% in Suffolk.
- The unemployment rate in Suffolk is higher at 3.2%, compared to 3.1% in Manly.
Demographics
Demographics Suffolk vs Manly provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Manly |
|---|---|---|
| Black | 40 | 3 |
| White | 47 | 77 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 10 |
| Two or More Races | 6 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Suffolk vs Manly
- A higher percentage of Black residents are in Suffolk at 40% compared to 3% in Manly.
- The percentage of White residents is higher in Manly at 77% compared to 47% in Suffolk.
- The Asian population is larger in Suffolk at 2% compared to 0% in Manly.
- Manly has a higher percentage of Hispanic residents at 10%, compared to 5% in Suffolk.
- The percentage of residents identifying as two or more races is higher in Manly at 10%, compared to 6% in Suffolk.
- The percentage of American Indian residents is the same in both Suffolk and Manly at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Manly |
|---|---|---|
| Mental Health Not Good | 16.6% | 16.0% |
| Physical Health Not Good | 10.6% | 9.9% |
| Depression | 21.4% | 19.1% |
| Smoking | 15.3% | 17.7% |
| Binge Drinking | 16.6% | 21.4% |
| Obesity | 42.4% | 38.1% |
| Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Suffolk vs Manly
- More residents in Suffolk report poor mental health at 16.6% compared to 16.0% in Manly.
- Depression is more prevalent in Suffolk at 21.4% compared to 19.1% in Manly.
- Manly has a higher smoking rate at 17.7% compared to 15.3% in Suffolk.
- More residents engage in binge drinking in Manly at 21.4% compared to 16.6% in Suffolk.
- Obesity rates are higher in Suffolk at 42.4% compared to 38.1% in Manly.
- There is a higher percentage of disabled individuals in Manly at 15.0% compared to 11.0% in Suffolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Suffolk | Manly |
|---|---|---|
| No Schooling | 1.0% (965) | 0.2% (3) |
| High School Diploma | 14.9% (14,643) | 25.9% (320) |
| Less than High School | 7.8% (7,701) | 5.8% (72) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 13.3% (165) |
Education Levels Comparison: Suffolk vs Manly
- A higher percentage of residents in Suffolk have no formal schooling at 1.0% compared to 0.2% in Manly.
- In Manly, the rate of residents with high school diplomas is higher at 25.9% compared to 14.9% in Suffolk.
- More residents in Suffolk have less than a high school education at 7.8% compared to 5.8% in Manly.
- A higher percentage of residents in Suffolk hold a bachelor's degree or higher at 21.0% compared to 13.3% in Manly.
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.