Demographics details for Gray, ME vs Sterling, IL
Population Overview
Compare main population characteristics in Gray, ME vs Sterling, IL.
| Data | Gray | Sterling |
|---|---|---|
| Population | 7,761 | 14,566 |
| Median Age | 43.0 years | 43.0 years |
| Median Income | $81,712 | $49,007 |
| Married Families | 60.0% | 32.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 2.1 | 4.2 |
Population Comparison: Gray vs Sterling
- The population in Sterling is higher at 14,566, compared to 7,761 in Gray.
- The median age is the same in both Gray and Sterling at 43.0 years.
- Gray has a higher median income of $81,712 compared to $49,007 in Sterling.
- A higher percentage of married families is found in Gray at 60.0% compared to 32.0% in Sterling.
- The poverty level is higher in Sterling at 12%, compared to 5% in Gray.
- Sterling has a higher unemployment rate at 4.2% compared to 2.1% in Gray.
Demographics
Demographics Gray vs Sterling provide insight into the diversity of the communities to compare.
| Demographic | Gray | Sterling |
|---|---|---|
| Black | 1 | 2 |
| White | 95 | 56 |
| Asian | 1 | 2 |
| Hispanic | 3 | 27 |
| Two or More Races | 2 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Gray vs Sterling
- In Sterling, the percentage of Black residents is higher at 2% compared to 1% in Gray.
- Gray has a higher percentage of White residents at 95% compared to 56% in Sterling.
- In Sterling, the Asian population stands at 2%, greater than 1% in Gray.
- Sterling has a higher percentage of Hispanic residents at 27%, compared to 3% in Gray.
- The percentage of residents identifying as two or more races is higher in Sterling at 12%, compared to 2% in Gray.
- In Sterling, the percentage of American Indian residents is higher at 1%, compared to 0% in Gray.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gray | Sterling |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.7% |
| Physical Health Not Good | Data is updating% | 12.2% |
| Depression | Data is updating% | 22.2% |
| Smoking | Data is updating% | 18.6% |
| Binge Drinking | Data is updating% | 17.4% |
| Obesity | Data is updating% | 39.5% |
| Disability Percentage | Data is updating% | 17.0% |
Health Statistics Comparison: Gray vs Sterling
- In Sterling, a higher percentage report poor mental health at 16.7% compared to 0.0% in Gray.
- Higher depression rates are seen in Sterling at 22.2% versus 0.0% in Gray.
- Sterling has a higher smoking rate at 18.6% compared to 0.0% in Gray.
- More residents engage in binge drinking in Sterling at 17.4% compared to 0.0% in Gray.
- Sterling has higher obesity rates at 39.5% compared to 0.0% in Gray.
- There is a higher percentage of disabled individuals in Sterling at 17.0% compared to 0.0% in Gray.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gray | Sterling |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.1% (164) |
| High School Diploma | 0.0% (Data is updating) | 24.1% (3,511) |
| Less than High School | 0.0% (Data is updating) | 13.8% (2,012) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 11.8% (1,713) |
Education Levels Comparison: Gray vs Sterling
- In Sterling, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Gray.
- In Sterling, the rate of residents with high school diplomas is higher at 24.1% compared to 0.0% in Gray.
- The percentage of residents with less than a high school education is higher in Sterling at 13.8%, compared to 0.0% in Gray.
- In Sterling, a larger share of residents have a bachelor's degree or higher at 11.8% compared to 0.0% in Gray.
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.