Demographics details for Webb, IA vs Suffolk, VA
Population Overview
Compare main population characteristics in Webb, IA vs Suffolk, VA.
| Data | Webb | Suffolk |
|---|---|---|
| Population | 141 | 98,537 |
| Median Age | 43.3 years | 38.5 years |
| Median Income | $66,250 | $87,758 |
| Married Families | 33.0% | 40.0% |
| Poverty Level | 6% | 7% |
| Unemployment Rate | 2.5 | 3.2 |
Population Comparison: Webb vs Suffolk
- The population in Suffolk is higher at 98,537, compared to 141 in Webb.
- Residents in Webb have a higher median age of 43.3 years compared to 38.5 years in Suffolk.
- Suffolk has a higher median income of $87,758, compared to $66,250 in Webb.
- In Suffolk, the percentage of married families is higher at 40.0%, compared to 33.0% in Webb.
- The poverty level is higher in Suffolk at 7%, compared to 6% in Webb.
- Suffolk has a higher unemployment rate at 3.2% compared to 2.5% in Webb.
Demographics
Demographics Webb vs Suffolk provide insight into the diversity of the communities to compare.
| Demographic | Webb | Suffolk |
|---|---|---|
| Black | Data is updating | 40 |
| White | 99 | 47 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 5 |
| Two or More Races | 1 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Webb vs Suffolk
- In Suffolk, the percentage of Black residents is higher at 40% compared to 0% in Webb.
- Webb has a higher percentage of White residents at 99% compared to 47% in Suffolk.
- In Suffolk, the Asian population stands at 2%, greater than 0% in Webb.
- Suffolk has a higher percentage of Hispanic residents at 5%, compared to 0% in Webb.
- The percentage of residents identifying as two or more races is higher in Suffolk at 6%, compared to 1% in Webb.
- The percentage of American Indian residents is the same in both Webb and Suffolk at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Webb | Suffolk |
|---|---|---|
| Mental Health Not Good | 15.5% | 16.6% |
| Physical Health Not Good | 9.8% | 10.6% |
| Depression | 19.2% | 21.4% |
| Smoking | 17.7% | 15.3% |
| Binge Drinking | 21.4% | 16.6% |
| Obesity | 36.5% | 42.4% |
| Disability Percentage | 22.0% | 11.0% |
Health Statistics Comparison: Webb vs Suffolk
- In Suffolk, a higher percentage report poor mental health at 16.6% compared to 15.5% in Webb.
- Higher depression rates are seen in Suffolk at 21.4% versus 19.2% in Webb.
- Smoking is more prevalent in Webb at 17.7% compared to 15.3% in Suffolk.
- Binge drinking is more common in Webb at 21.4% compared to 16.6% in Suffolk.
- Suffolk has higher obesity rates at 42.4% compared to 36.5% in Webb.
- Disability percentages are higher in Webb at 22.0% 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 | Webb | Suffolk |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (965) |
| High School Diploma | 19.9% (28) | 14.9% (14,643) |
| Less than High School | 11.3% (16) | 7.8% (7,701) |
| Bachelor's Degree and Higher | 8.5% (12) | 21.0% (20,740) |
Education Levels Comparison: Webb vs Suffolk
- In Suffolk, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Webb.
- A higher percentage of residents in Webb hold a high school diploma at 19.9% compared to 14.9% in Suffolk.
- More residents in Webb have less than a high school education at 11.3% compared to 7.8% in Suffolk.
- In Suffolk, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 8.5% in Webb.
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.