Demographics details for Suffolk, VA vs Blue mounds, WI
Population Overview
Compare main population characteristics in Suffolk, VA vs Blue mounds, WI.
| Data | Suffolk | Blue mounds |
|---|---|---|
| Population | 98,537 | 924 |
| Median Age | 38.5 years | 37.0 years |
| Median Income | $87,758 | $71,094 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 7% | 8% |
| Unemployment Rate | 3.2 | 2.4 |
Population Comparison: Suffolk vs Blue mounds
- In Suffolk, the population is higher at 98,537, compared to 924 in Blue mounds.
- Residents in Suffolk have a higher median age of 38.5 years compared to 37.0 years in Blue mounds.
- Suffolk has a higher median income of $87,758 compared to $71,094 in Blue mounds.
- A higher percentage of married families is found in Suffolk at 40.0% compared to 34.0% in Blue mounds.
- The poverty level is higher in Blue mounds at 8%, compared to 7% in Suffolk.
- The unemployment rate in Suffolk is higher at 3.2%, compared to 2.4% in Blue mounds.
Demographics
Demographics Suffolk vs Blue mounds provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Blue mounds |
|---|---|---|
| Black | 40 | 1 |
| White | 47 | 96 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 1 |
| Two or More Races | 6 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Suffolk vs Blue mounds
- A higher percentage of Black residents are in Suffolk at 40% compared to 1% in Blue mounds.
- The percentage of White residents is higher in Blue mounds at 96% compared to 47% in Suffolk.
- The Asian population is larger in Suffolk at 2% compared to 0% in Blue mounds.
- The Hispanic community is larger in Suffolk at 5% compared to 1% in Blue mounds.
- More residents identify as two or more races in Suffolk at 6% compared to 2% in Blue mounds.
- The percentage of American Indian residents is the same in both Suffolk and Blue mounds at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Blue mounds |
|---|---|---|
| Mental Health Not Good | 16.6% | 13.4% |
| Physical Health Not Good | 10.6% | 7.8% |
| Depression | 21.4% | 24.2% |
| Smoking | 15.3% | 11.9% |
| Binge Drinking | 16.6% | 25.4% |
| Obesity | 42.4% | 27.3% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Suffolk vs Blue mounds
- More residents in Suffolk report poor mental health at 16.6% compared to 13.4% in Blue mounds.
- Higher depression rates are seen in Blue mounds at 24.2% versus 21.4% in Suffolk.
- Smoking is more prevalent in Suffolk at 15.3% compared to 11.9% in Blue mounds.
- More residents engage in binge drinking in Blue mounds at 25.4% compared to 16.6% in Suffolk.
- Obesity rates are higher in Suffolk at 42.4% compared to 27.3% in Blue mounds.
- Disability percentages are the same in both Suffolk and Blue mounds at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Suffolk | Blue mounds |
|---|---|---|
| No Schooling | 1.0% (965) | 0.0% (Data is updating) |
| High School Diploma | 14.9% (14,643) | 15.3% (141) |
| Less than High School | 7.8% (7,701) | 9.0% (83) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 19.7% (182) |
Education Levels Comparison: Suffolk vs Blue mounds
- A higher percentage of residents in Suffolk have no formal schooling at 1.0% compared to 0.0% in Blue mounds.
- In Blue mounds, the rate of residents with high school diplomas is higher at 15.3% compared to 14.9% in Suffolk.
- The percentage of residents with less than a high school education is higher in Blue mounds at 9.0%, compared to 7.8% in Suffolk.
- A higher percentage of residents in Suffolk hold a bachelor's degree or higher at 21.0% compared to 19.7% in Blue mounds.
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.