Demographics details for Suffolk, VA vs Parsons, KS
Population Overview
Compare main population characteristics in Suffolk, VA vs Parsons, KS.
| Data | Suffolk | Parsons |
|---|---|---|
| Population | 98,537 | 9,382 |
| Median Age | 38.5 years | 38.0 years |
| Median Income | $87,758 | $48,990 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Suffolk vs Parsons
- In Suffolk, the population is higher at 98,537, compared to 9,382 in Parsons.
- Residents in Suffolk have a higher median age of 38.5 years compared to 38.0 years in Parsons.
- Suffolk has a higher median income of $87,758 compared to $48,990 in Parsons.
- A higher percentage of married families is found in Suffolk at 40.0% compared to 34.0% in Parsons.
- The poverty level is higher in Parsons at 12%, compared to 7% in Suffolk.
- Parsons has a higher unemployment rate at 3.5% compared to 3.2% in Suffolk.
Demographics
Demographics Suffolk vs Parsons provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Parsons |
|---|---|---|
| Black | 40 | 8 |
| White | 47 | 79 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 7 |
| Two or More Races | 6 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Suffolk vs Parsons
- A higher percentage of Black residents are in Suffolk at 40% compared to 8% in Parsons.
- The percentage of White residents is higher in Parsons at 79% compared to 47% in Suffolk.
- The Asian population is larger in Suffolk at 2% compared to 0% in Parsons.
- Parsons has a higher percentage of Hispanic residents at 7%, compared to 5% in Suffolk.
- Both Suffolk and Parsons have the same percentage of residents identifying as two or more races at 6%.
- The percentage of American Indian residents is the same in both Suffolk and Parsons at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Parsons |
|---|---|---|
| Mental Health Not Good | 16.6% | 18.4% |
| Physical Health Not Good | 10.6% | 12.7% |
| Depression | 21.4% | 22.3% |
| Smoking | 15.3% | 22.4% |
| Binge Drinking | 16.6% | 17.3% |
| Obesity | 42.4% | 45.2% |
| Disability Percentage | 11.0% | 23.0% |
Health Statistics Comparison: Suffolk vs Parsons
- In Parsons, a higher percentage report poor mental health at 18.4% compared to 16.6% in Suffolk.
- Higher depression rates are seen in Parsons at 22.3% versus 21.4% in Suffolk.
- Parsons has a higher smoking rate at 22.4% compared to 15.3% in Suffolk.
- More residents engage in binge drinking in Parsons at 17.3% compared to 16.6% in Suffolk.
- Parsons has higher obesity rates at 45.2% compared to 42.4% in Suffolk.
- There is a higher percentage of disabled individuals in Parsons at 23.0% 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 | Parsons |
|---|---|---|
| No Schooling | 1.0% (965) | 1.2% (113) |
| High School Diploma | 14.9% (14,643) | 15.2% (1,423) |
| Less than High School | 7.8% (7,701) | 11.6% (1,093) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 17.3% (1,621) |
Education Levels Comparison: Suffolk vs Parsons
- In Parsons, a larger percentage of residents lack formal schooling at 1.2% compared to 1.0% in Suffolk.
- In Parsons, the rate of residents with high school diplomas is higher at 15.2% compared to 14.9% in Suffolk.
- The percentage of residents with less than a high school education is higher in Parsons at 11.6%, 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 17.3% in Parsons.
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.