Demographics details for Suffolk, VA vs Bloomington, IN
Population Overview
Compare main population characteristics in Suffolk, VA vs Bloomington, IN.
| Data | Suffolk | Bloomington |
|---|---|---|
| Population | 98,537 | 79,107 |
| Median Age | 38.5 years | 24.4 years |
| Median Income | $87,758 | $46,543 |
| Married Families | 40.0% | 23.0% |
| Poverty Level | 7% | 18% |
| Unemployment Rate | 3.2 | 6.2 |
Population Comparison: Suffolk vs Bloomington
- In Suffolk, the population is higher at 98,537, compared to 79,107 in Bloomington.
- Residents in Suffolk have a higher median age of 38.5 years compared to 24.4 years in Bloomington.
- Suffolk has a higher median income of $87,758 compared to $46,543 in Bloomington.
- A higher percentage of married families is found in Suffolk at 40.0% compared to 23.0% in Bloomington.
- The poverty level is higher in Bloomington at 18%, compared to 7% in Suffolk.
- Bloomington has a higher unemployment rate at 6.2% compared to 3.2% in Suffolk.
Demographics
Demographics Suffolk vs Bloomington provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Bloomington |
|---|---|---|
| Black | 40 | 5 |
| White | 47 | 75 |
| Asian | 2 | 11 |
| Hispanic | 5 | 4 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Suffolk vs Bloomington
- A higher percentage of Black residents are in Suffolk at 40% compared to 5% in Bloomington.
- The percentage of White residents is higher in Bloomington at 75% compared to 47% in Suffolk.
- In Bloomington, the Asian population stands at 11%, greater than 2% in Suffolk.
- The Hispanic community is larger in Suffolk at 5% compared to 4% in Bloomington.
- More residents identify as two or more races in Suffolk at 6% compared to 5% in Bloomington.
- The percentage of American Indian residents is the same in both Suffolk and Bloomington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Bloomington |
|---|---|---|
| Mental Health Not Good | 16.6% | 17.6% |
| Physical Health Not Good | 10.6% | 11.7% |
| Depression | 21.4% | 26.7% |
| Smoking | 15.3% | 17.0% |
| Binge Drinking | 16.6% | 16.7% |
| Obesity | 42.4% | 34.4% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Suffolk vs Bloomington
- In Bloomington, a higher percentage report poor mental health at 17.6% compared to 16.6% in Suffolk.
- Higher depression rates are seen in Bloomington at 26.7% versus 21.4% in Suffolk.
- Bloomington has a higher smoking rate at 17.0% compared to 15.3% in Suffolk.
- More residents engage in binge drinking in Bloomington at 16.7% compared to 16.6% in Suffolk.
- Obesity rates are higher in Suffolk at 42.4% compared to 34.4% in Bloomington.
- Disability percentages are higher in Suffolk at 11.0% compared to 9.0% in Bloomington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Suffolk | Bloomington |
|---|---|---|
| No Schooling | 1.0% (965) | 0.1% (95) |
| High School Diploma | 14.9% (14,643) | 5.8% (4,606) |
| Less than High School | 7.8% (7,701) | 4.2% (3,311) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 29.0% (22,911) |
Education Levels Comparison: Suffolk vs Bloomington
- A higher percentage of residents in Suffolk have no formal schooling at 1.0% compared to 0.1% in Bloomington.
- A higher percentage of residents in Suffolk hold a high school diploma at 14.9% compared to 5.8% in Bloomington.
- More residents in Suffolk have less than a high school education at 7.8% compared to 4.2% in Bloomington.
- In Bloomington, a larger share of residents have a bachelor's degree or higher at 29.0% 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.