Demographics details for Sterling, IL vs Pond eddy, NY
Population Overview
Compare main population characteristics in Sterling, IL vs Pond eddy, NY.
| Data | Sterling | Pond eddy |
|---|---|---|
| Population | 14,566 | 389 |
| Median Age | 43.0 years | 45.0 years |
| Median Income | $49,007 | $55,000 |
| Married Families | 32.0% | 65.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.2 | 4.0 |
Population Comparison: Sterling vs Pond eddy
- In Sterling, the population is higher at 14,566, compared to 389 in Pond eddy.
- The median age in Pond eddy is higher at 45.0 years, compared to 43.0 years in Sterling.
- Pond eddy has a higher median income of $55,000, compared to $49,007 in Sterling.
- In Pond eddy, the percentage of married families is higher at 65.0%, compared to 32.0% in Sterling.
- Sterling has a higher poverty level at 12% compared to 10% in Pond eddy.
- The unemployment rate in Sterling is higher at 4.2%, compared to 4.0% in Pond eddy.
Demographics
Demographics Sterling vs Pond eddy provide insight into the diversity of the communities to compare.
| Demographic | Sterling | Pond eddy |
|---|---|---|
| Black | 2 | 2 |
| White | 56 | 95 |
| Asian | 2 | 1 |
| Hispanic | 27 | 2 |
| Two or More Races | 12 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Sterling vs Pond eddy
- The percentage of Black residents is the same in both Sterling and Pond eddy at 2%.
- The percentage of White residents is higher in Pond eddy at 95% compared to 56% in Sterling.
- The Asian population is larger in Sterling at 2% compared to 1% in Pond eddy.
- The Hispanic community is larger in Sterling at 27% compared to 2% in Pond eddy.
- More residents identify as two or more races in Sterling at 12% compared to 0% in Pond eddy.
- A greater percentage of American Indian residents live in Sterling at 1% compared to 0% in Pond eddy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sterling | Pond eddy |
|---|---|---|
| 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 Pond eddy
- More residents in Sterling report poor mental health at 16.7% compared to 0.0% in Pond eddy.
- Depression is more prevalent in Sterling at 22.2% compared to 0.0% in Pond eddy.
- Smoking is more prevalent in Sterling at 18.6% compared to 0.0% in Pond eddy.
- Binge drinking is more common in Sterling at 17.4% compared to 0.0% in Pond eddy.
- Obesity rates are higher in Sterling at 39.5% compared to 0.0% in Pond eddy.
- Disability percentages are higher in Sterling at 17.0% compared to 0.0% in Pond eddy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sterling | Pond eddy |
|---|---|---|
| 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 Pond eddy
- A higher percentage of residents in Sterling have no formal schooling at 1.1% compared to 0.0% in Pond eddy.
- A higher percentage of residents in Sterling hold a high school diploma at 24.1% compared to 0.0% in Pond eddy.
- More residents in Sterling have less than a high school education at 13.8% compared to 0.0% in Pond eddy.
- A higher percentage of residents in Sterling hold a bachelor's degree or higher at 11.8% compared to 0.0% in Pond eddy.
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.