Demographics details for Sterling, IL vs Cottonwood, AL
Population Overview
Compare main population characteristics in Sterling, IL vs Cottonwood, AL.
| Data | Sterling | Cottonwood |
|---|---|---|
| Population | 14,566 | 1,057 |
| Median Age | 43.0 years | 44.5 years |
| Median Income | $49,007 | $31,591 |
| Married Families | 32.0% | 35.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Sterling vs Cottonwood
- In Sterling, the population is higher at 14,566, compared to 1,057 in Cottonwood.
- The median age in Cottonwood is higher at 44.5 years, compared to 43.0 years in Sterling.
- Sterling has a higher median income of $49,007 compared to $31,591 in Cottonwood.
- In Cottonwood, the percentage of married families is higher at 35.0%, compared to 32.0% in Sterling.
- Sterling has a higher poverty level at 12% compared to 10% in Cottonwood.
- The unemployment rate in Sterling is higher at 4.2%, compared to 3.5% in Cottonwood.
Demographics
Demographics Sterling vs Cottonwood provide insight into the diversity of the communities to compare.
| Demographic | Sterling | Cottonwood |
|---|---|---|
| Black | 2 | 37 |
| White | 56 | 57 |
| Asian | 2 | Data is updating |
| Hispanic | 27 | Data is updating |
| Two or More Races | 12 | 4 |
| American Indian | 1 | 2 |
Demographics Comparison: Sterling vs Cottonwood
- In Cottonwood, the percentage of Black residents is higher at 37% compared to 2% in Sterling.
- The percentage of White residents is higher in Cottonwood at 57% compared to 56% in Sterling.
- The Asian population is larger in Sterling at 2% compared to 0% in Cottonwood.
- The Hispanic community is larger in Sterling at 27% compared to 0% in Cottonwood.
- More residents identify as two or more races in Sterling at 12% compared to 4% in Cottonwood.
- In Cottonwood, the percentage of American Indian residents is higher at 2%, compared to 1% in Sterling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sterling | Cottonwood |
|---|---|---|
| Mental Health Not Good | 16.7% | 20.4% |
| Physical Health Not Good | 12.2% | 14.1% |
| Depression | 22.2% | 26.3% |
| Smoking | 18.6% | 22.7% |
| Binge Drinking | 17.4% | 14.5% |
| Obesity | 39.5% | 40.8% |
| Disability Percentage | 17.0% | 20.0% |
Health Statistics Comparison: Sterling vs Cottonwood
- In Cottonwood, a higher percentage report poor mental health at 20.4% compared to 16.7% in Sterling.
- Higher depression rates are seen in Cottonwood at 26.3% versus 22.2% in Sterling.
- Cottonwood has a higher smoking rate at 22.7% compared to 18.6% in Sterling.
- Binge drinking is more common in Sterling at 17.4% compared to 14.5% in Cottonwood.
- Cottonwood has higher obesity rates at 40.8% compared to 39.5% in Sterling.
- There is a higher percentage of disabled individuals in Cottonwood at 20.0% 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 | Cottonwood |
|---|---|---|
| No Schooling | 1.1% (164) | 3.4% (36) |
| High School Diploma | 24.1% (3,511) | 29.8% (315) |
| Less than High School | 13.8% (2,012) | 28.8% (304) |
| Bachelor's Degree and Higher | 11.8% (1,713) | 9.2% (97) |
Education Levels Comparison: Sterling vs Cottonwood
- In Cottonwood, a larger percentage of residents lack formal schooling at 3.4% compared to 1.1% in Sterling.
- In Cottonwood, the rate of residents with high school diplomas is higher at 29.8% compared to 24.1% in Sterling.
- The percentage of residents with less than a high school education is higher in Cottonwood at 28.8%, compared to 13.8% in Sterling.
- A higher percentage of residents in Sterling hold a bachelor's degree or higher at 11.8% compared to 9.2% in Cottonwood.
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.