Demographics details for Sidney, MI vs Sterling, OK
Population Overview
Compare main population characteristics in Sidney, MI vs Sterling, OK.
| Data | Sidney | Sterling |
|---|---|---|
| Population | 2,566 | 678 |
| Median Age | 53.3 years | 39.7 years |
| Median Income | $59,837 | $64,464 |
| Married Families | 48.0% | 47.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Sidney vs Sterling
- In Sidney, the population is higher at 2,566, compared to 678 in Sterling.
- Residents in Sidney have a higher median age of 53.3 years compared to 39.7 years in Sterling.
- Sterling has a higher median income of $64,464, compared to $59,837 in Sidney.
- A higher percentage of married families is found in Sidney at 48.0% compared to 47.0% in Sterling.
- The poverty level is higher in Sterling at 12%, compared to 9% in Sidney.
- The unemployment rate in Sidney is higher at 4.5%, compared to 3.5% in Sterling.
Demographics
Demographics Sidney vs Sterling provide insight into the diversity of the communities to compare.
| Demographic | Sidney | Sterling |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 95 | 82 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 6 |
| Two or More Races | 3 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sidney vs Sterling
- The percentage of Black residents is the same in both Sidney and Sterling at 0%.
- Sidney has a higher percentage of White residents at 95% compared to 82% in Sterling.
- In Sterling, the Asian population stands at 1%, greater than 0% in Sidney.
- Sterling has a higher percentage of Hispanic residents at 6%, compared to 2% in Sidney.
- The percentage of residents identifying as two or more races is higher in Sterling at 11%, compared to 3% in Sidney.
- The percentage of American Indian residents is the same in both Sidney and Sterling at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sidney | Sterling |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.9% |
| Physical Health Not Good | Data is updating% | 12.2% |
| Depression | Data is updating% | 28.2% |
| Smoking | Data is updating% | 20.1% |
| Binge Drinking | Data is updating% | 16.4% |
| Obesity | Data is updating% | 42.3% |
| Disability Percentage | 17.0% | 40.0% |
Health Statistics Comparison: Sidney vs Sterling
- In Sterling, a higher percentage report poor mental health at 17.9% compared to 0.0% in Sidney.
- Higher depression rates are seen in Sterling at 28.2% versus 0.0% in Sidney.
- Sterling has a higher smoking rate at 20.1% compared to 0.0% in Sidney.
- More residents engage in binge drinking in Sterling at 16.4% compared to 0.0% in Sidney.
- Sterling has higher obesity rates at 42.3% compared to 0.0% in Sidney.
- There is a higher percentage of disabled individuals in Sterling at 40.0% compared to 17.0% in Sidney.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sidney | Sterling |
|---|---|---|
| No Schooling | 1.4% (36) | 0.0% (Data is updating) |
| High School Diploma | 24.1% (618) | 45.0% (305) |
| Less than High School | 20.8% (534) | 11.2% (76) |
| Bachelor's Degree and Higher | 8.8% (226) | 6.5% (44) |
Education Levels Comparison: Sidney vs Sterling
- A higher percentage of residents in Sidney have no formal schooling at 1.4% compared to 0.0% in Sterling.
- In Sterling, the rate of residents with high school diplomas is higher at 45.0% compared to 24.1% in Sidney.
- More residents in Sidney have less than a high school education at 20.8% compared to 11.2% in Sterling.
- A higher percentage of residents in Sidney hold a bachelor's degree or higher at 8.8% compared to 6.5% 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.