Demographics details for West winfield, NY vs Orlando, FL
Population Overview
Compare main population characteristics in West winfield, NY vs Orlando, FL.
| Data | West winfield | Orlando |
|---|---|---|
| Population | 741 | 316,081 |
| Median Age | 40.1 years | 34.7 years |
| Median Income | $70,000 | $66,292 |
| Married Families | 44.0% | 31.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: West winfield vs Orlando
- The population in Orlando is higher at 316,081, compared to 741 in West winfield.
- Residents in West winfield have a higher median age of 40.1 years compared to 34.7 years in Orlando.
- West winfield has a higher median income of $70,000 compared to $66,292 in Orlando.
- A higher percentage of married families is found in West winfield at 44.0% compared to 31.0% in Orlando.
- The poverty level is higher in Orlando at 12%, compared to 9% in West winfield.
- The unemployment rate in West winfield is higher at 4.5%, compared to 3.2% in Orlando.
Demographics
Demographics West winfield vs Orlando provide insight into the diversity of the communities to compare.
| Demographic | West winfield | Orlando |
|---|---|---|
| Black | Data is updating | 23 |
| White | 68 | 23 |
| Asian | Data is updating | 4 |
| Hispanic | 15 | 34 |
| Two or More Races | 17 | 16 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: West winfield vs Orlando
- In Orlando, the percentage of Black residents is higher at 23% compared to 0% in West winfield.
- West winfield has a higher percentage of White residents at 68% compared to 23% in Orlando.
- In Orlando, the Asian population stands at 4%, greater than 0% in West winfield.
- Orlando has a higher percentage of Hispanic residents at 34%, compared to 15% in West winfield.
- More residents identify as two or more races in West winfield at 17% compared to 16% in Orlando.
- The percentage of American Indian residents is the same in both West winfield and Orlando at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | West winfield | Orlando |
|---|---|---|
| Mental Health Not Good | 17.2% | 15.5% |
| Physical Health Not Good | 11.4% | 11.5% |
| Depression | 25.1% | 17.2% |
| Smoking | 20.9% | 17.7% |
| Binge Drinking | 20.6% | 14.1% |
| Obesity | 33.5% | 31.1% |
| Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: West winfield vs Orlando
- More residents in West winfield report poor mental health at 17.2% compared to 15.5% in Orlando.
- Depression is more prevalent in West winfield at 25.1% compared to 17.2% in Orlando.
- Smoking is more prevalent in West winfield at 20.9% compared to 17.7% in Orlando.
- Binge drinking is more common in West winfield at 20.6% compared to 14.1% in Orlando.
- Obesity rates are higher in West winfield at 33.5% compared to 31.1% in Orlando.
- Disability percentages are higher in West winfield at 14.0% compared to 9.0% in Orlando.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | West winfield | Orlando |
|---|---|---|
| No Schooling | 1.1% (8) | 1.1% (3,445) |
| High School Diploma | 27.7% (205) | 13.7% (43,377) |
| Less than High School | 13.2% (98) | 9.2% (29,000) |
| Bachelor's Degree and Higher | 17.1% (127) | 28.8% (90,981) |
Education Levels Comparison: West winfield vs Orlando
- The percentage of residents with no formal schooling is the same in both West winfield and Orlando at 1.1%.
- A higher percentage of residents in West winfield hold a high school diploma at 27.7% compared to 13.7% in Orlando.
- More residents in West winfield have less than a high school education at 13.2% compared to 9.2% in Orlando.
- In Orlando, a larger share of residents have a bachelor's degree or higher at 28.8% compared to 17.1% in West winfield.
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.