Demographics details for Suffolk, VA vs Underwood, ND
Population Overview
Compare main population characteristics in Suffolk, VA vs Underwood, ND.
| Data | Suffolk | Underwood |
|---|---|---|
| Population | 98,537 | 780 |
| Median Age | 38.5 years | 47.3 years |
| Median Income | $87,758 | $72,917 |
| Married Families | 40.0% | 51.0% |
| Poverty Level | 7% | Data is updating |
| Unemployment Rate | 3.2 | 2.5 |
Population Comparison: Suffolk vs Underwood
- In Suffolk, the population is higher at 98,537, compared to 780 in Underwood.
- The median age in Underwood is higher at 47.3 years, compared to 38.5 years in Suffolk.
- Suffolk has a higher median income of $87,758 compared to $72,917 in Underwood.
- In Underwood, the percentage of married families is higher at 51.0%, compared to 40.0% in Suffolk.
- Suffolk has a higher poverty level at 7% compared to 0% in Underwood.
- The unemployment rate in Suffolk is higher at 3.2%, compared to 2.5% in Underwood.
Demographics
Demographics Suffolk vs Underwood provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Underwood |
|---|---|---|
| Black | 40 | 1 |
| White | 47 | 87 |
| Asian | 2 | 3 |
| Hispanic | 5 | 1 |
| Two or More Races | 6 | 6 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Suffolk vs Underwood
- A higher percentage of Black residents are in Suffolk at 40% compared to 1% in Underwood.
- The percentage of White residents is higher in Underwood at 87% compared to 47% in Suffolk.
- In Underwood, the Asian population stands at 3%, greater than 2% in Suffolk.
- The Hispanic community is larger in Suffolk at 5% compared to 1% in Underwood.
- Both Suffolk and Underwood have the same percentage of residents identifying as two or more races at 6%.
- In Underwood, the percentage of American Indian residents is higher at 2%, compared to 0% in Suffolk.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Underwood |
|---|---|---|
| Mental Health Not Good | 16.6% | 12.8% |
| Physical Health Not Good | 10.6% | 8.8% |
| Depression | 21.4% | 17.5% |
| Smoking | 15.3% | 16.1% |
| Binge Drinking | 16.6% | 22.7% |
| Obesity | 42.4% | 40.0% |
| Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Suffolk vs Underwood
- More residents in Suffolk report poor mental health at 16.6% compared to 12.8% in Underwood.
- Depression is more prevalent in Suffolk at 21.4% compared to 17.5% in Underwood.
- Underwood has a higher smoking rate at 16.1% compared to 15.3% in Suffolk.
- More residents engage in binge drinking in Underwood at 22.7% compared to 16.6% in Suffolk.
- Obesity rates are higher in Suffolk at 42.4% compared to 40.0% in Underwood.
- Disability percentages are higher in Suffolk at 11.0% compared to 10.0% in Underwood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Suffolk | Underwood |
|---|---|---|
| No Schooling | 1.0% (965) | 0.1% (1) |
| High School Diploma | 14.9% (14,643) | 19.1% (149) |
| Less than High School | 7.8% (7,701) | 8.6% (67) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 13.1% (102) |
Education Levels Comparison: Suffolk vs Underwood
- A higher percentage of residents in Suffolk have no formal schooling at 1.0% compared to 0.1% in Underwood.
- In Underwood, the rate of residents with high school diplomas is higher at 19.1% compared to 14.9% in Suffolk.
- The percentage of residents with less than a high school education is higher in Underwood at 8.6%, 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 13.1% in Underwood.
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.