Demographics details for Shirley, NY vs Rising sun, IN
Population Overview
Compare main population characteristics in Shirley, NY vs Rising sun, IN.
| Data | Shirley | Rising sun |
|---|---|---|
| Population | 26,498 | 2,277 |
| Median Age | 40.4 years | 47.6 years |
| Median Income | $109,821 | $46,214 |
| Married Families | 37.0% | 34.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Shirley vs Rising sun
- In Shirley, the population is higher at 26,498, compared to 2,277 in Rising sun.
- The median age in Rising sun is higher at 47.6 years, compared to 40.4 years in Shirley.
- Shirley has a higher median income of $109,821 compared to $46,214 in Rising sun.
- A higher percentage of married families is found in Shirley at 37.0% compared to 34.0% in Rising sun.
- The poverty level is higher in Rising sun at 12%, compared to 6% in Shirley.
- The unemployment rate in Shirley is higher at 4.2%, compared to 3.5% in Rising sun.
Demographics
Demographics Shirley vs Rising sun provide insight into the diversity of the communities to compare.
| Demographic | Shirley | Rising sun |
|---|---|---|
| Black | 8 | 1 |
| White | 56 | 93 |
| Asian | 5 | Data is updating |
| Hispanic | 23 | Data is updating |
| Two or More Races | 8 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Shirley vs Rising sun
- A higher percentage of Black residents are in Shirley at 8% compared to 1% in Rising sun.
- The percentage of White residents is higher in Rising sun at 93% compared to 56% in Shirley.
- The Asian population is larger in Shirley at 5% compared to 0% in Rising sun.
- The Hispanic community is larger in Shirley at 23% compared to 0% in Rising sun.
- More residents identify as two or more races in Shirley at 8% compared to 5% in Rising sun.
- In Rising sun, the percentage of American Indian residents is higher at 1%, compared to 0% in Shirley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shirley | Rising sun |
|---|---|---|
| Mental Health Not Good | 16.3% | 17.7% |
| Physical Health Not Good | 10.7% | 11.8% |
| Depression | 21.1% | 26.1% |
| Smoking | 17.0% | 20.6% |
| Binge Drinking | 16.0% | 17.7% |
| Obesity | 32.0% | 37.1% |
| Disability Percentage | 10.0% | 21.0% |
Health Statistics Comparison: Shirley vs Rising sun
- In Rising sun, a higher percentage report poor mental health at 17.7% compared to 16.3% in Shirley.
- Higher depression rates are seen in Rising sun at 26.1% versus 21.1% in Shirley.
- Rising sun has a higher smoking rate at 20.6% compared to 17.0% in Shirley.
- More residents engage in binge drinking in Rising sun at 17.7% compared to 16.0% in Shirley.
- Rising sun has higher obesity rates at 37.1% compared to 32.0% in Shirley.
- There is a higher percentage of disabled individuals in Rising sun at 21.0% 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 | Shirley | Rising sun |
|---|---|---|
| No Schooling | 2.1% (555) | 0.2% (5) |
| High School Diploma | 22.2% (5,874) | 30.0% (683) |
| Less than High School | 13.4% (3,542) | 11.9% (271) |
| Bachelor's Degree and Higher | 13.4% (3,547) | 11.0% (251) |
Education Levels Comparison: Shirley vs Rising sun
- A higher percentage of residents in Shirley have no formal schooling at 2.1% compared to 0.2% in Rising sun.
- In Rising sun, the rate of residents with high school diplomas is higher at 30.0% compared to 22.2% in Shirley.
- More residents in Shirley have less than a high school education at 13.4% compared to 11.9% in Rising sun.
- A higher percentage of residents in Shirley hold a bachelor's degree or higher at 13.4% compared to 11.0% in Rising sun.
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.