Demographics details for Stewart, MN vs Shirley, NY
Population Overview
Compare main population characteristics in Stewart, MN vs Shirley, NY.
| Data | Stewart | Shirley |
|---|---|---|
| Population | 474 | 26,498 |
| Median Age | 36.9 years | 40.4 years |
| Median Income | $52,813 | $109,821 |
| Married Families | 43.0% | 37.0% |
| Poverty Level | Data is updating | 6% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Stewart vs Shirley
- The population in Shirley is higher at 26,498, compared to 474 in Stewart.
- The median age in Shirley is higher at 40.4 years, compared to 36.9 years in Stewart.
- Shirley has a higher median income of $109,821, compared to $52,813 in Stewart.
- A higher percentage of married families is found in Stewart at 43.0% compared to 37.0% in Shirley.
- The poverty level is higher in Shirley at 6%, compared to 0% in Stewart.
- Shirley has a higher unemployment rate at 4.2% compared to 3.5% in Stewart.
Demographics
Demographics Stewart vs Shirley provide insight into the diversity of the communities to compare.
| Demographic | Stewart | Shirley |
|---|---|---|
| Black | Data is updating | 8 |
| White | 70 | 56 |
| Asian | Data is updating | 5 |
| Hispanic | 24 | 23 |
| Two or More Races | 6 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Stewart vs Shirley
- In Shirley, the percentage of Black residents is higher at 8% compared to 0% in Stewart.
- Stewart has a higher percentage of White residents at 70% compared to 56% in Shirley.
- In Shirley, the Asian population stands at 5%, greater than 0% in Stewart.
- The Hispanic community is larger in Stewart at 24% compared to 23% in Shirley.
- The percentage of residents identifying as two or more races is higher in Shirley at 8%, compared to 6% in Stewart.
- The percentage of American Indian residents is the same in both Stewart and Shirley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Stewart | Shirley |
|---|---|---|
| Mental Health Not Good | 15.1% | 16.3% |
| Physical Health Not Good | 9.6% | 10.7% |
| Depression | 23.1% | 21.1% |
| Smoking | 19.3% | 17.0% |
| Binge Drinking | 20.3% | 16.0% |
| Obesity | 38.6% | 32.0% |
| Disability Percentage | 20.0% | 10.0% |
Health Statistics Comparison: Stewart vs Shirley
- In Shirley, a higher percentage report poor mental health at 16.3% compared to 15.1% in Stewart.
- Depression is more prevalent in Stewart at 23.1% compared to 21.1% in Shirley.
- Smoking is more prevalent in Stewart at 19.3% compared to 17.0% in Shirley.
- Binge drinking is more common in Stewart at 20.3% compared to 16.0% in Shirley.
- Obesity rates are higher in Stewart at 38.6% compared to 32.0% in Shirley.
- Disability percentages are higher in Stewart at 20.0% compared to 10.0% in Shirley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Stewart | Shirley |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.1% (555) |
| High School Diploma | 30.8% (146) | 22.2% (5,874) |
| Less than High School | 13.1% (62) | 13.4% (3,542) |
| Bachelor's Degree and Higher | 2.5% (12) | 13.4% (3,547) |
Education Levels Comparison: Stewart vs Shirley
- In Shirley, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Stewart.
- A higher percentage of residents in Stewart hold a high school diploma at 30.8% compared to 22.2% in Shirley.
- The percentage of residents with less than a high school education is higher in Shirley at 13.4%, compared to 13.1% in Stewart.
- In Shirley, a larger share of residents have a bachelor's degree or higher at 13.4% compared to 2.5% in Stewart.
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.