Demographics details for Sterling, IL vs South paris, ME
Population Overview
Compare main population characteristics in Sterling, IL vs South paris, ME.
| Data | Sterling | South paris |
|---|---|---|
| Population | 14,566 | 2,208 |
| Median Age | 43.0 years | 39.5 years |
| Median Income | $49,007 | $42,321 |
| Married Families | 32.0% | 30.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Sterling vs South paris
- In Sterling, the population is higher at 14,566, compared to 2,208 in South paris.
- Residents in Sterling have a higher median age of 43.0 years compared to 39.5 years in South paris.
- Sterling has a higher median income of $49,007 compared to $42,321 in South paris.
- A higher percentage of married families is found in Sterling at 32.0% compared to 30.0% in South paris.
- The poverty level is higher in South paris at 13%, compared to 12% in Sterling.
- The unemployment rate in Sterling is higher at 4.2%, compared to 3.5% in South paris.
Demographics
Demographics Sterling vs South paris provide insight into the diversity of the communities to compare.
| Demographic | Sterling | South paris |
|---|---|---|
| Black | 2 | Data is updating |
| White | 56 | 97 |
| Asian | 2 | Data is updating |
| Hispanic | 27 | 3 |
| Two or More Races | 12 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Sterling vs South paris
- A higher percentage of Black residents are in Sterling at 2% compared to 0% in South paris.
- The percentage of White residents is higher in South paris at 97% compared to 56% in Sterling.
- The Asian population is larger in Sterling at 2% compared to 0% in South paris.
- The Hispanic community is larger in Sterling at 27% compared to 3% in South paris.
- More residents identify as two or more races in Sterling at 12% compared to 0% in South paris.
- A greater percentage of American Indian residents live in Sterling at 1% compared to 0% in South paris.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sterling | South paris |
|---|---|---|
| Mental Health Not Good | 16.7% | 18.7% |
| Physical Health Not Good | 12.2% | 11.4% |
| Depression | 22.2% | 26.9% |
| Smoking | 18.6% | 20.1% |
| Binge Drinking | 17.4% | 18.1% |
| Obesity | 39.5% | 33.9% |
| Disability Percentage | 17.0% | 22.0% |
Health Statistics Comparison: Sterling vs South paris
- In South paris, a higher percentage report poor mental health at 18.7% compared to 16.7% in Sterling.
- Higher depression rates are seen in South paris at 26.9% versus 22.2% in Sterling.
- South paris has a higher smoking rate at 20.1% compared to 18.6% in Sterling.
- More residents engage in binge drinking in South paris at 18.1% compared to 17.4% in Sterling.
- Obesity rates are higher in Sterling at 39.5% compared to 33.9% in South paris.
- There is a higher percentage of disabled individuals in South paris at 22.0% compared to 17.0% in Sterling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sterling | South paris |
|---|---|---|
| No Schooling | 1.1% (164) | 0.2% (5) |
| High School Diploma | 24.1% (3,511) | 25.2% (557) |
| Less than High School | 13.8% (2,012) | 2.4% (54) |
| Bachelor's Degree and Higher | 11.8% (1,713) | 9.6% (213) |
Education Levels Comparison: Sterling vs South paris
- A higher percentage of residents in Sterling have no formal schooling at 1.1% compared to 0.2% in South paris.
- In South paris, the rate of residents with high school diplomas is higher at 25.2% compared to 24.1% in Sterling.
- More residents in Sterling have less than a high school education at 13.8% compared to 2.4% in South paris.
- A higher percentage of residents in Sterling hold a bachelor's degree or higher at 11.8% compared to 9.6% in South paris.
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.