Demographics details for Sterling, IL vs Sutherland, VA
Population Overview
Compare main population characteristics in Sterling, IL vs Sutherland, VA.
Data | Sterling | Sutherland |
---|---|---|
Population | 14,566 | 2,000 |
Median Age | 43.0 years | 45.0 years |
Median Income | $49,007 | $60,000 |
Married Families | 32.0% | 60.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 4.2 | 5.0 |
Population Comparison: Sterling vs Sutherland
- In Sterling, the population is higher at 14,566, compared to 2,000 in Sutherland.
- The median age in Sutherland is higher at 45.0 years, compared to 43.0 years in Sterling.
- Sutherland has a higher median income of $60,000, compared to $49,007 in Sterling.
- In Sutherland, the percentage of married families is higher at 60.0%, compared to 32.0% in Sterling.
- Sterling has a higher poverty level at 12% compared to 10% in Sutherland.
- Sutherland has a higher unemployment rate at 5.0% compared to 4.2% in Sterling.
Demographics
Demographics Sterling vs Sutherland provide insight into the diversity of the communities to compare.
Demographic | Sterling | Sutherland |
---|---|---|
Black | 2 | 10 |
White | 56 | 80 |
Asian | 2 | 5 |
Hispanic | 27 | 5 |
Two or More Races | 12 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Sterling vs Sutherland
- In Sutherland, the percentage of Black residents is higher at 10% compared to 2% in Sterling.
- The percentage of White residents is higher in Sutherland at 80% compared to 56% in Sterling.
- In Sutherland, the Asian population stands at 5%, greater than 2% in Sterling.
- The Hispanic community is larger in Sterling at 27% compared to 5% in Sutherland.
- More residents identify as two or more races in Sterling at 12% compared to 0% in Sutherland.
- A greater percentage of American Indian residents live in Sterling at 1% compared to 0% in Sutherland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sterling | Sutherland |
---|---|---|
Mental Health Not Good | 16.7% | Data is updating% |
Physical Health Not Good | 12.2% | Data is updating% |
Depression | 22.2% | Data is updating% |
Smoking | 18.6% | Data is updating% |
Binge Drinking | 17.4% | Data is updating% |
Obesity | 39.5% | Data is updating% |
Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Sterling vs Sutherland
- More residents in Sterling report poor mental health at 16.7% compared to 0.0% in Sutherland.
- Depression is more prevalent in Sterling at 22.2% compared to 0.0% in Sutherland.
- Smoking is more prevalent in Sterling at 18.6% compared to 0.0% in Sutherland.
- Binge drinking is more common in Sterling at 17.4% compared to 0.0% in Sutherland.
- Obesity rates are higher in Sterling at 39.5% compared to 0.0% in Sutherland.
- Disability percentages are higher in Sterling at 17.0% compared to 0.0% in Sutherland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sterling | Sutherland |
---|---|---|
No Schooling | 1.1% (164) | 0.0% (Data is updating) |
High School Diploma | 24.1% (3,511) | 0.0% (Data is updating) |
Less than High School | 13.8% (2,012) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 11.8% (1,713) | 0.0% (Data is updating) |
Education Levels Comparison: Sterling vs Sutherland
- A higher percentage of residents in Sterling have no formal schooling at 1.1% compared to 0.0% in Sutherland.
- A higher percentage of residents in Sterling hold a high school diploma at 24.1% compared to 0.0% in Sutherland.
- More residents in Sterling have less than a high school education at 13.8% compared to 0.0% in Sutherland.
- A higher percentage of residents in Sterling hold a bachelor's degree or higher at 11.8% compared to 0.0% in Sutherland.
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.