Demographics details for Suffolk, VA vs Milton, WA
Population Overview
Compare main population characteristics in Suffolk, VA vs Milton, WA.
| Data | Suffolk | Milton |
|---|---|---|
| Population | 98,537 | 8,768 |
| Median Age | 38.5 years | 37.6 years |
| Median Income | $87,758 | $90,372 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 7% | 9% |
| Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Suffolk vs Milton
- In Suffolk, the population is higher at 98,537, compared to 8,768 in Milton.
- Residents in Suffolk have a higher median age of 38.5 years compared to 37.6 years in Milton.
- Milton has a higher median income of $90,372, compared to $87,758 in Suffolk.
- A higher percentage of married families is found in Suffolk at 40.0% compared to 34.0% in Milton.
- The poverty level is higher in Milton at 9%, compared to 7% in Suffolk.
- Milton has a higher unemployment rate at 5.0% compared to 3.2% in Suffolk.
Demographics
Demographics Suffolk vs Milton provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Milton |
|---|---|---|
| Black | 40 | 1 |
| White | 47 | 71 |
| Asian | 2 | 7 |
| Hispanic | 5 | 10 |
| Two or More Races | 6 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Suffolk vs Milton
- A higher percentage of Black residents are in Suffolk at 40% compared to 1% in Milton.
- The percentage of White residents is higher in Milton at 71% compared to 47% in Suffolk.
- In Milton, the Asian population stands at 7%, greater than 2% in Suffolk.
- Milton has a higher percentage of Hispanic residents at 10%, compared to 5% in Suffolk.
- The percentage of residents identifying as two or more races is higher in Milton at 10%, compared to 6% in Suffolk.
- In Milton, the percentage of American Indian residents is higher at 1%, compared to 0% in Suffolk.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Milton |
|---|---|---|
| Mental Health Not Good | 16.6% | 18.4% |
| Physical Health Not Good | 10.6% | 10.8% |
| Depression | 21.4% | 27.0% |
| Smoking | 15.3% | 14.2% |
| Binge Drinking | 16.6% | 17.9% |
| Obesity | 42.4% | 31.9% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Suffolk vs Milton
- In Milton, a higher percentage report poor mental health at 18.4% compared to 16.6% in Suffolk.
- Higher depression rates are seen in Milton at 27.0% versus 21.4% in Suffolk.
- Smoking is more prevalent in Suffolk at 15.3% compared to 14.2% in Milton.
- More residents engage in binge drinking in Milton at 17.9% compared to 16.6% in Suffolk.
- Obesity rates are higher in Suffolk at 42.4% compared to 31.9% in Milton.
- There is a higher percentage of disabled individuals in Milton at 14.0% 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 | Milton |
|---|---|---|
| No Schooling | 1.0% (965) | 1.0% (86) |
| High School Diploma | 14.9% (14,643) | 19.2% (1,683) |
| Less than High School | 7.8% (7,701) | 9.4% (821) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 13.1% (1,149) |
Education Levels Comparison: Suffolk vs Milton
- The percentage of residents with no formal schooling is the same in both Suffolk and Milton at 1.0%.
- In Milton, the rate of residents with high school diplomas is higher at 19.2% compared to 14.9% in Suffolk.
- The percentage of residents with less than a high school education is higher in Milton at 9.4%, 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 13.1% in Milton.
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.