Demographics details for Suffolk, VA vs Grove city, OH
Population Overview
Compare main population characteristics in Suffolk, VA vs Grove city, OH.
| Data | Suffolk | Grove city |
|---|---|---|
| Population | 98,537 | 42,233 |
| Median Age | 38.5 years | 40.6 years |
| Median Income | $87,758 | $84,765 |
| Married Families | 40.0% | 45.0% |
| Poverty Level | 7% | 7% |
| Unemployment Rate | 3.2 | 4.3 |
Population Comparison: Suffolk vs Grove city
- In Suffolk, the population is higher at 98,537, compared to 42,233 in Grove city.
- The median age in Grove city is higher at 40.6 years, compared to 38.5 years in Suffolk.
- Suffolk has a higher median income of $87,758 compared to $84,765 in Grove city.
- In Grove city, the percentage of married families is higher at 45.0%, compared to 40.0% in Suffolk.
- The poverty level is identical in both Suffolk and Grove city at 7%.
- Grove city has a higher unemployment rate at 4.3% compared to 3.2% in Suffolk.
Demographics
Demographics Suffolk vs Grove city provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Grove city |
|---|---|---|
| Black | 40 | 4 |
| White | 47 | 86 |
| Asian | 2 | 3 |
| Hispanic | 5 | 3 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Suffolk vs Grove city
- A higher percentage of Black residents are in Suffolk at 40% compared to 4% in Grove city.
- The percentage of White residents is higher in Grove city at 86% compared to 47% in Suffolk.
- In Grove city, the Asian population stands at 3%, greater than 2% in Suffolk.
- The Hispanic community is larger in Suffolk at 5% compared to 3% in Grove city.
- More residents identify as two or more races in Suffolk at 6% compared to 4% in Grove city.
- The percentage of American Indian residents is the same in both Suffolk and Grove city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Grove city |
|---|---|---|
| Mental Health Not Good | 16.6% | 17.0% |
| Physical Health Not Good | 10.6% | 10.1% |
| Depression | 21.4% | 25.1% |
| Smoking | 15.3% | 16.5% |
| Binge Drinking | 16.6% | 20.7% |
| Obesity | 42.4% | 33.1% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Suffolk vs Grove city
- In Grove city, a higher percentage report poor mental health at 17.0% compared to 16.6% in Suffolk.
- Higher depression rates are seen in Grove city at 25.1% versus 21.4% in Suffolk.
- Grove city has a higher smoking rate at 16.5% compared to 15.3% in Suffolk.
- More residents engage in binge drinking in Grove city at 20.7% compared to 16.6% in Suffolk.
- Obesity rates are higher in Suffolk at 42.4% compared to 33.1% in Grove city.
- Disability percentages are the same in both Suffolk and Grove city at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Suffolk | Grove city |
|---|---|---|
| No Schooling | 1.0% (965) | 0.7% (302) |
| High School Diploma | 14.9% (14,643) | 18.7% (7,916) |
| Less than High School | 7.8% (7,701) | 8.5% (3,598) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 22.9% (9,679) |
Education Levels Comparison: Suffolk vs Grove city
- A higher percentage of residents in Suffolk have no formal schooling at 1.0% compared to 0.7% in Grove city.
- In Grove city, the rate of residents with high school diplomas is higher at 18.7% compared to 14.9% in Suffolk.
- The percentage of residents with less than a high school education is higher in Grove city at 8.5%, compared to 7.8% in Suffolk.
- In Grove city, a larger share of residents have a bachelor's degree or higher at 22.9% compared to 21.0% in Suffolk.
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.