Demographics details for Suffolk, VA vs Campbell, OH
Population Overview
Compare main population characteristics in Suffolk, VA vs Campbell, OH.
| Data | Suffolk | Campbell |
|---|---|---|
| Population | 98,537 | 7,743 |
| Median Age | 38.5 years | 39.7 years |
| Median Income | $87,758 | $43,176 |
| Married Families | 40.0% | 26.0% |
| Poverty Level | 7% | 24% |
| Unemployment Rate | 3.2 | 6.8 |
Population Comparison: Suffolk vs Campbell
- In Suffolk, the population is higher at 98,537, compared to 7,743 in Campbell.
- The median age in Campbell is higher at 39.7 years, compared to 38.5 years in Suffolk.
- Suffolk has a higher median income of $87,758 compared to $43,176 in Campbell.
- A higher percentage of married families is found in Suffolk at 40.0% compared to 26.0% in Campbell.
- The poverty level is higher in Campbell at 24%, compared to 7% in Suffolk.
- Campbell has a higher unemployment rate at 6.8% compared to 3.2% in Suffolk.
Demographics
Demographics Suffolk vs Campbell provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Campbell |
|---|---|---|
| Black | 40 | 20 |
| White | 47 | 40 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 27 |
| Two or More Races | 6 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Suffolk vs Campbell
- A higher percentage of Black residents are in Suffolk at 40% compared to 20% in Campbell.
- Suffolk has a higher percentage of White residents at 47% compared to 40% in Campbell.
- The Asian population is larger in Suffolk at 2% compared to 0% in Campbell.
- Campbell has a higher percentage of Hispanic residents at 27%, compared to 5% in Suffolk.
- The percentage of residents identifying as two or more races is higher in Campbell at 13%, compared to 6% in Suffolk.
- The percentage of American Indian residents is the same in both Suffolk and Campbell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Campbell |
|---|---|---|
| Mental Health Not Good | 16.6% | 21.8% |
| Physical Health Not Good | 10.6% | 17.3% |
| Depression | 21.4% | 26.9% |
| Smoking | 15.3% | 29.5% |
| Binge Drinking | 16.6% | 14.3% |
| Obesity | 42.4% | 47.4% |
| Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Suffolk vs Campbell
- In Campbell, a higher percentage report poor mental health at 21.8% compared to 16.6% in Suffolk.
- Higher depression rates are seen in Campbell at 26.9% versus 21.4% in Suffolk.
- Campbell has a higher smoking rate at 29.5% compared to 15.3% in Suffolk.
- Binge drinking is more common in Suffolk at 16.6% compared to 14.3% in Campbell.
- Campbell has higher obesity rates at 47.4% compared to 42.4% in Suffolk.
- There is a higher percentage of disabled individuals in Campbell 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 | Campbell |
|---|---|---|
| No Schooling | 1.0% (965) | 1.2% (96) |
| High School Diploma | 14.9% (14,643) | 22.6% (1,748) |
| Less than High School | 7.8% (7,701) | 19.7% (1,524) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 11.4% (886) |
Education Levels Comparison: Suffolk vs Campbell
- In Campbell, a larger percentage of residents lack formal schooling at 1.2% compared to 1.0% in Suffolk.
- In Campbell, the rate of residents with high school diplomas is higher at 22.6% compared to 14.9% in Suffolk.
- The percentage of residents with less than a high school education is higher in Campbell at 19.7%, 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 11.4% in Campbell.
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.