Demographics details for Sterling, IL vs Sedona, AZ
Population Overview
Compare main population characteristics in Sterling, IL vs Sedona, AZ.
| Data | Sterling | Sedona |
|---|---|---|
| Population | 14,566 | 9,790 |
| Median Age | 43.0 years | 58.7 years |
| Median Income | $49,007 | $62,901 |
| Married Families | 32.0% | 51.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.2 | 3.3 |
Population Comparison: Sterling vs Sedona
- In Sterling, the population is higher at 14,566, compared to 9,790 in Sedona.
- The median age in Sedona is higher at 58.7 years, compared to 43.0 years in Sterling.
- Sedona has a higher median income of $62,901, compared to $49,007 in Sterling.
- In Sedona, the percentage of married families is higher at 51.0%, compared to 32.0% in Sterling.
- Sterling has a higher poverty level at 12% compared to 10% in Sedona.
- The unemployment rate in Sterling is higher at 4.2%, compared to 3.3% in Sedona.
Demographics
Demographics Sterling vs Sedona provide insight into the diversity of the communities to compare.
| Demographic | Sterling | Sedona |
|---|---|---|
| Black | 2 | 1 |
| White | 56 | 73 |
| Asian | 2 | 3 |
| Hispanic | 27 | 19 |
| Two or More Races | 12 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Sterling vs Sedona
- A higher percentage of Black residents are in Sterling at 2% compared to 1% in Sedona.
- The percentage of White residents is higher in Sedona at 73% compared to 56% in Sterling.
- In Sedona, the Asian population stands at 3%, greater than 2% in Sterling.
- The Hispanic community is larger in Sterling at 27% compared to 19% in Sedona.
- More residents identify as two or more races in Sterling at 12% compared to 4% in Sedona.
- A greater percentage of American Indian residents live in Sterling at 1% compared to 0% in Sedona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sterling | Sedona |
|---|---|---|
| Mental Health Not Good | 16.7% | 15.0% |
| Physical Health Not Good | 12.2% | 9.1% |
| Depression | 22.2% | 19.7% |
| Smoking | 18.6% | 12.0% |
| Binge Drinking | 17.4% | 17.3% |
| Obesity | 39.5% | 24.5% |
| Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Sterling vs Sedona
- More residents in Sterling report poor mental health at 16.7% compared to 15.0% in Sedona.
- Depression is more prevalent in Sterling at 22.2% compared to 19.7% in Sedona.
- Smoking is more prevalent in Sterling at 18.6% compared to 12.0% in Sedona.
- Binge drinking is more common in Sterling at 17.4% compared to 17.3% in Sedona.
- Obesity rates are higher in Sterling at 39.5% compared to 24.5% in Sedona.
- Disability percentages are higher in Sterling at 17.0% compared to 12.0% in Sedona.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sterling | Sedona |
|---|---|---|
| No Schooling | 1.1% (164) | 0.1% (6) |
| High School Diploma | 24.1% (3,511) | 12.3% (1,206) |
| Less than High School | 13.8% (2,012) | 8.4% (827) |
| Bachelor's Degree and Higher | 11.8% (1,713) | 44.7% (4,375) |
Education Levels Comparison: Sterling vs Sedona
- A higher percentage of residents in Sterling have no formal schooling at 1.1% compared to 0.1% in Sedona.
- A higher percentage of residents in Sterling hold a high school diploma at 24.1% compared to 12.3% in Sedona.
- More residents in Sterling have less than a high school education at 13.8% compared to 8.4% in Sedona.
- In Sedona, a larger share of residents have a bachelor's degree or higher at 44.7% 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.