Demographics details for Suffolk, VA vs Centralia, WA
Population Overview
Compare main population characteristics in Suffolk, VA vs Centralia, WA.
| Data | Suffolk | Centralia |
|---|---|---|
| Population | 98,537 | 18,773 |
| Median Age | 38.5 years | 38.5 years |
| Median Income | $87,758 | $50,422 |
| Married Families | 40.0% | 28.0% |
| Poverty Level | 7% | 14% |
| Unemployment Rate | 3.2 | 5.4 |
Population Comparison: Suffolk vs Centralia
- In Suffolk, the population is higher at 98,537, compared to 18,773 in Centralia.
- The median age is the same in both Suffolk and Centralia at 38.5 years.
- Suffolk has a higher median income of $87,758 compared to $50,422 in Centralia.
- A higher percentage of married families is found in Suffolk at 40.0% compared to 28.0% in Centralia.
- The poverty level is higher in Centralia at 14%, compared to 7% in Suffolk.
- Centralia has a higher unemployment rate at 5.4% compared to 3.2% in Suffolk.
Demographics
Demographics Suffolk vs Centralia provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Centralia |
|---|---|---|
| Black | 40 | 1 |
| White | 47 | 70 |
| Asian | 2 | 1 |
| Hispanic | 5 | 17 |
| Two or More Races | 6 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Suffolk vs Centralia
- A higher percentage of Black residents are in Suffolk at 40% compared to 1% in Centralia.
- The percentage of White residents is higher in Centralia at 70% compared to 47% in Suffolk.
- The Asian population is larger in Suffolk at 2% compared to 1% in Centralia.
- Centralia has a higher percentage of Hispanic residents at 17%, compared to 5% in Suffolk.
- The percentage of residents identifying as two or more races is higher in Centralia at 11%, compared to 6% in Suffolk.
- The percentage of American Indian residents is the same in both Suffolk and Centralia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Centralia |
|---|---|---|
| Mental Health Not Good | 16.6% | 19.3% |
| Physical Health Not Good | 10.6% | 13.5% |
| Depression | 21.4% | 27.5% |
| Smoking | 15.3% | 19.2% |
| Binge Drinking | 16.6% | 15.9% |
| Obesity | 42.4% | 36.5% |
| Disability Percentage | 11.0% | 19.0% |
Health Statistics Comparison: Suffolk vs Centralia
- In Centralia, a higher percentage report poor mental health at 19.3% compared to 16.6% in Suffolk.
- Higher depression rates are seen in Centralia at 27.5% versus 21.4% in Suffolk.
- Centralia has a higher smoking rate at 19.2% compared to 15.3% in Suffolk.
- Binge drinking is more common in Suffolk at 16.6% compared to 15.9% in Centralia.
- Obesity rates are higher in Suffolk at 42.4% compared to 36.5% in Centralia.
- There is a higher percentage of disabled individuals in Centralia at 19.0% 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 | Centralia |
|---|---|---|
| No Schooling | 1.0% (965) | 1.1% (214) |
| High School Diploma | 14.9% (14,643) | 17.6% (3,312) |
| Less than High School | 7.8% (7,701) | 19.3% (3,617) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 11.6% (2,187) |
Education Levels Comparison: Suffolk vs Centralia
- In Centralia, a larger percentage of residents lack formal schooling at 1.1% compared to 1.0% in Suffolk.
- In Centralia, the rate of residents with high school diplomas is higher at 17.6% compared to 14.9% in Suffolk.
- The percentage of residents with less than a high school education is higher in Centralia at 19.3%, 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 11.6% in Centralia.
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.