Demographics details for Lewis, NY vs Sterling, IL
Population Overview
Compare main population characteristics in Lewis, NY vs Sterling, IL.
| Data | Lewis | Sterling |
|---|---|---|
| Population | 26,699 | 14,566 |
| Median Age | 42.0 years | 43.0 years |
| Median Income | $64,401 | $49,007 |
| Married Families | 44.0% | 32.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Lewis vs Sterling
- In Lewis, the population is higher at 26,699, compared to 14,566 in Sterling.
- The median age in Sterling is higher at 43.0 years, compared to 42.0 years in Lewis.
- Lewis has a higher median income of $64,401 compared to $49,007 in Sterling.
- A higher percentage of married families is found in Lewis at 44.0% compared to 32.0% in Sterling.
- The poverty level is identical in both Lewis and Sterling at 12%.
- Sterling has a higher unemployment rate at 4.2% compared to 3.5% in Lewis.
Demographics
Demographics Lewis vs Sterling provide insight into the diversity of the communities to compare.
| Demographic | Lewis | Sterling |
|---|---|---|
| Black | 1 | 2 |
| White | 94 | 56 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 27 |
| Two or More Races | 3 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lewis vs Sterling
- In Sterling, the percentage of Black residents is higher at 2% compared to 1% in Lewis.
- Lewis has a higher percentage of White residents at 94% compared to 56% in Sterling.
- In Sterling, the Asian population stands at 2%, greater than 0% in Lewis.
- Sterling has a higher percentage of Hispanic residents at 27%, compared to 2% in Lewis.
- The percentage of residents identifying as two or more races is higher in Sterling at 12%, compared to 3% in Lewis.
- In Sterling, the percentage of American Indian residents is higher at 1%, compared to 0% in Lewis.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lewis | Sterling |
|---|---|---|
| Mental Health Not Good | 16.0% | 16.7% |
| Physical Health Not Good | 11.3% | 12.2% |
| Depression | 22.7% | 22.2% |
| Smoking | 19.1% | 18.6% |
| Binge Drinking | 19.1% | 17.4% |
| Obesity | 43.0% | 39.5% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Lewis vs Sterling
- In Sterling, a higher percentage report poor mental health at 16.7% compared to 16.0% in Lewis.
- Depression is more prevalent in Lewis at 22.7% compared to 22.2% in Sterling.
- Smoking is more prevalent in Lewis at 19.1% compared to 18.6% in Sterling.
- Binge drinking is more common in Lewis at 19.1% compared to 17.4% in Sterling.
- Obesity rates are higher in Lewis at 43.0% compared to 39.5% in Sterling.
- There is a higher percentage of disabled individuals in Sterling at 17.0% compared to 14.0% in Lewis.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lewis | Sterling |
|---|---|---|
| No Schooling | 0.8% (209) | 1.1% (164) |
| High School Diploma | 26.5% (7,082) | 24.1% (3,511) |
| Less than High School | 11.8% (3,156) | 13.8% (2,012) |
| Bachelor's Degree and Higher | 13.3% (3,550) | 11.8% (1,713) |
Education Levels Comparison: Lewis vs Sterling
- In Sterling, a larger percentage of residents lack formal schooling at 1.1% compared to 0.8% in Lewis.
- A higher percentage of residents in Lewis hold a high school diploma at 26.5% compared to 24.1% in Sterling.
- The percentage of residents with less than a high school education is higher in Sterling at 13.8%, compared to 11.8% in Lewis.
- A higher percentage of residents in Lewis hold a bachelor's degree or higher at 13.3% compared to 11.8% in Sterling.
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.