Demographics details for Cleveland, GA vs Suffolk, VA
Population Overview
Compare main population characteristics in Cleveland, GA vs Suffolk, VA.
| Data | Cleveland | Suffolk |
|---|---|---|
| Population | 3,548 | 98,537 |
| Median Age | 39.6 years | 38.5 years |
| Median Income | $46,994 | $87,758 |
| Married Families | 25.0% | 40.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Cleveland vs Suffolk
- The population in Suffolk is higher at 98,537, compared to 3,548 in Cleveland.
- Residents in Cleveland have a higher median age of 39.6 years compared to 38.5 years in Suffolk.
- Suffolk has a higher median income of $87,758, compared to $46,994 in Cleveland.
- In Suffolk, the percentage of married families is higher at 40.0%, compared to 25.0% in Cleveland.
- Cleveland has a higher poverty level at 12% compared to 7% in Suffolk.
- The unemployment rate in Cleveland is higher at 3.5%, compared to 3.2% in Suffolk.
Demographics
Demographics Cleveland vs Suffolk provide insight into the diversity of the communities to compare.
| Demographic | Cleveland | Suffolk |
|---|---|---|
| Black | 5 | 40 |
| White | 84 | 47 |
| Asian | 2 | 2 |
| Hispanic | 2 | 5 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cleveland vs Suffolk
- In Suffolk, the percentage of Black residents is higher at 40% compared to 5% in Cleveland.
- Cleveland has a higher percentage of White residents at 84% compared to 47% in Suffolk.
- Both Cleveland and Suffolk have the same percentage of Asian residents at 2%.
- Suffolk has a higher percentage of Hispanic residents at 5%, compared to 2% in Cleveland.
- More residents identify as two or more races in Cleveland at 7% compared to 6% in Suffolk.
- The percentage of American Indian residents is the same in both Cleveland and Suffolk at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cleveland | Suffolk |
|---|---|---|
| Mental Health Not Good | 18.1% | 16.6% |
| Physical Health Not Good | 12.8% | 10.6% |
| Depression | 24.2% | 21.4% |
| Smoking | 18.9% | 15.3% |
| Binge Drinking | 16.2% | 16.6% |
| Obesity | 33.2% | 42.4% |
| Disability Percentage | 17.0% | 11.0% |
Health Statistics Comparison: Cleveland vs Suffolk
- More residents in Cleveland report poor mental health at 18.1% compared to 16.6% in Suffolk.
- Depression is more prevalent in Cleveland at 24.2% compared to 21.4% in Suffolk.
- Smoking is more prevalent in Cleveland at 18.9% compared to 15.3% in Suffolk.
- More residents engage in binge drinking in Suffolk at 16.6% compared to 16.2% in Cleveland.
- Suffolk has higher obesity rates at 42.4% compared to 33.2% in Cleveland.
- Disability percentages are higher in Cleveland at 17.0% 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 | Cleveland | Suffolk |
|---|---|---|
| No Schooling | 0.8% (30) | 1.0% (965) |
| High School Diploma | 18.5% (656) | 14.9% (14,643) |
| Less than High School | 15.4% (545) | 7.8% (7,701) |
| Bachelor's Degree and Higher | 10.2% (362) | 21.0% (20,740) |
Education Levels Comparison: Cleveland vs Suffolk
- In Suffolk, a larger percentage of residents lack formal schooling at 1.0% compared to 0.8% in Cleveland.
- A higher percentage of residents in Cleveland hold a high school diploma at 18.5% compared to 14.9% in Suffolk.
- More residents in Cleveland have less than a high school education at 15.4% 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 10.2% in Cleveland.
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.