Demographics details for Suffolk, VA vs South solon, OH
Population Overview
Compare main population characteristics in Suffolk, VA vs South solon, OH.
Data | Suffolk | South solon |
---|---|---|
Population | 98,537 | 327 |
Median Age | 38.5 years | 39.8 years |
Median Income | $87,758 | $56,563 |
Married Families | 40.0% | 48.0% |
Poverty Level | 7% | 12% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Suffolk vs South solon
- In Suffolk, the population is higher at 98,537, compared to 327 in South solon.
- The median age in South solon is higher at 39.8 years, compared to 38.5 years in Suffolk.
- Suffolk has a higher median income of $87,758 compared to $56,563 in South solon.
- In South solon, the percentage of married families is higher at 48.0%, compared to 40.0% in Suffolk.
- The poverty level is higher in South solon at 12%, compared to 7% in Suffolk.
- South solon has a higher unemployment rate at 3.5% compared to 3.2% in Suffolk.
Demographics
Demographics Suffolk vs South solon provide insight into the diversity of the communities to compare.
Demographic | Suffolk | South solon |
---|---|---|
Black | 40 | Data is updating |
White | 47 | 70 |
Asian | 2 | Data is updating |
Hispanic | 5 | 20 |
Two or More Races | 6 | 10 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Suffolk vs South solon
- A higher percentage of Black residents are in Suffolk at 40% compared to 0% in South solon.
- The percentage of White residents is higher in South solon at 70% compared to 47% in Suffolk.
- The Asian population is larger in Suffolk at 2% compared to 0% in South solon.
- South solon has a higher percentage of Hispanic residents at 20%, compared to 5% in Suffolk.
- The percentage of residents identifying as two or more races is higher in South solon at 10%, compared to 6% in Suffolk.
- The percentage of American Indian residents is the same in both Suffolk and South solon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Suffolk | South solon |
---|---|---|
Mental Health Not Good | 16.6% | 17.7% |
Physical Health Not Good | 10.6% | 11.9% |
Depression | 21.4% | 24.2% |
Smoking | 15.3% | 21.3% |
Binge Drinking | 16.6% | 19.1% |
Obesity | 42.4% | 40.5% |
Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Suffolk vs South solon
- In South solon, a higher percentage report poor mental health at 17.7% compared to 16.6% in Suffolk.
- Higher depression rates are seen in South solon at 24.2% versus 21.4% in Suffolk.
- South solon has a higher smoking rate at 21.3% compared to 15.3% in Suffolk.
- More residents engage in binge drinking in South solon at 19.1% compared to 16.6% in Suffolk.
- Obesity rates are higher in Suffolk at 42.4% compared to 40.5% in South solon.
- There is a higher percentage of disabled individuals in South solon at 16.0% 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 | South solon |
---|---|---|
No Schooling | 1.0% (965) | 0.3% (1) |
High School Diploma | 14.9% (14,643) | 41.0% (134) |
Less than High School | 7.8% (7,701) | 21.4% (70) |
Bachelor's Degree and Higher | 21.0% (20,740) | 7.6% (25) |
Education Levels Comparison: Suffolk vs South solon
- A higher percentage of residents in Suffolk have no formal schooling at 1.0% compared to 0.3% in South solon.
- In South solon, the rate of residents with high school diplomas is higher at 41.0% compared to 14.9% in Suffolk.
- The percentage of residents with less than a high school education is higher in South solon at 21.4%, 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 7.6% in South solon.
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.