Demographics details for West islip, NY vs Orlando, FL
Population Overview
Compare main population characteristics in West islip, NY vs Orlando, FL.
Data | West islip | Orlando |
---|---|---|
Population | 27,192 | 316,081 |
Median Age | 40.5 years | 34.7 years |
Median Income | $161,792 | $66,292 |
Married Families | 47.0% | 31.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: West islip vs Orlando
- The population in Orlando is higher at 316,081, compared to 27,192 in West islip.
- Residents in West islip have a higher median age of 40.5 years compared to 34.7 years in Orlando.
- West islip has a higher median income of $161,792 compared to $66,292 in Orlando.
- A higher percentage of married families is found in West islip at 47.0% compared to 31.0% in Orlando.
- The poverty level is higher in Orlando at 12%, compared to 5% in West islip.
- The unemployment rate in West islip is higher at 3.5%, compared to 3.2% in Orlando.
Demographics
Demographics West islip vs Orlando provide insight into the diversity of the communities to compare.
Demographic | West islip | Orlando |
---|---|---|
Black | 1 | 23 |
White | 79 | 23 |
Asian | 2 | 4 |
Hispanic | 10 | 34 |
Two or More Races | 8 | 16 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: West islip vs Orlando
- In Orlando, the percentage of Black residents is higher at 23% compared to 1% in West islip.
- West islip has a higher percentage of White residents at 79% compared to 23% in Orlando.
- In Orlando, the Asian population stands at 4%, greater than 2% in West islip.
- Orlando has a higher percentage of Hispanic residents at 34%, compared to 10% in West islip.
- The percentage of residents identifying as two or more races is higher in Orlando at 16%, compared to 8% in West islip.
- The percentage of American Indian residents is the same in both West islip and Orlando at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | West islip | Orlando |
---|---|---|
Mental Health Not Good | 14.1% | 15.5% |
Physical Health Not Good | 8.0% | 11.5% |
Depression | 20.3% | 17.2% |
Smoking | 12.1% | 17.7% |
Binge Drinking | 17.8% | 14.1% |
Obesity | 27.8% | 31.1% |
Disability Percentage | 7.0% | 9.0% |
Health Statistics Comparison: West islip vs Orlando
- In Orlando, a higher percentage report poor mental health at 15.5% compared to 14.1% in West islip.
- Depression is more prevalent in West islip at 20.3% compared to 17.2% in Orlando.
- Orlando has a higher smoking rate at 17.7% compared to 12.1% in West islip.
- Binge drinking is more common in West islip at 17.8% compared to 14.1% in Orlando.
- Orlando has higher obesity rates at 31.1% compared to 27.8% in West islip.
- There is a higher percentage of disabled individuals in Orlando at 9.0% compared to 7.0% in West islip.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | West islip | Orlando |
---|---|---|
No Schooling | 0.8% (227) | 1.1% (3,445) |
High School Diploma | 14.0% (3,820) | 13.7% (43,377) |
Less than High School | 5.2% (1,423) | 9.2% (29,000) |
Bachelor's Degree and Higher | 31.9% (8,673) | 28.8% (90,981) |
Education Levels Comparison: West islip vs Orlando
- In Orlando, a larger percentage of residents lack formal schooling at 1.1% compared to 0.8% in West islip.
- A higher percentage of residents in West islip hold a high school diploma at 14.0% compared to 13.7% in Orlando.
- The percentage of residents with less than a high school education is higher in Orlando at 9.2%, compared to 5.2% in West islip.
- A higher percentage of residents in West islip hold a bachelor's degree or higher at 31.9% compared to 28.8% in Orlando.
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.