Demographics details for Island park, NY vs Woodland, PA
Population Overview
Compare main population characteristics in Island park, NY vs Woodland, PA.
Data | Island park | Woodland |
---|---|---|
Population | 4,969 | 185 |
Median Age | 42.7 years | 36.0 years |
Median Income | $96,875 | $55,000 |
Married Families | 38.0% | 30.0% |
Poverty Level | 6% | 10% |
Unemployment Rate | 4.5 | 5.0 |
Population Comparison: Island park vs Woodland
- In Island park, the population is higher at 4,969, compared to 185 in Woodland.
- Residents in Island park have a higher median age of 42.7 years compared to 36.0 years in Woodland.
- Island park has a higher median income of $96,875 compared to $55,000 in Woodland.
- A higher percentage of married families is found in Island park at 38.0% compared to 30.0% in Woodland.
- The poverty level is higher in Woodland at 10%, compared to 6% in Island park.
- Woodland has a higher unemployment rate at 5.0% compared to 4.5% in Island park.
Demographics
Demographics Island park vs Woodland provide insight into the diversity of the communities to compare.
Demographic | Island park | Woodland |
---|---|---|
Black | 1 | 3 |
White | 56 | 92 |
Asian | 4 | 2 |
Hispanic | 33 | 1 |
Two or More Races | 6 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Island park vs Woodland
- In Woodland, the percentage of Black residents is higher at 3% compared to 1% in Island park.
- The percentage of White residents is higher in Woodland at 92% compared to 56% in Island park.
- The Asian population is larger in Island park at 4% compared to 2% in Woodland.
- The Hispanic community is larger in Island park at 33% compared to 1% in Woodland.
- More residents identify as two or more races in Island park at 6% compared to 2% in Woodland.
- The percentage of American Indian residents is the same in both Island park and Woodland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Island park | Woodland |
---|---|---|
Mental Health Not Good | 14.6% | Data is updating% |
Physical Health Not Good | 9.8% | Data is updating% |
Depression | 17.4% | Data is updating% |
Smoking | 14.1% | Data is updating% |
Binge Drinking | 17.9% | Data is updating% |
Obesity | 29.5% | Data is updating% |
Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Island park vs Woodland
- More residents in Island park report poor mental health at 14.6% compared to 0.0% in Woodland.
- Depression is more prevalent in Island park at 17.4% compared to 0.0% in Woodland.
- Smoking is more prevalent in Island park at 14.1% compared to 0.0% in Woodland.
- Binge drinking is more common in Island park at 17.9% compared to 0.0% in Woodland.
- Obesity rates are higher in Island park at 29.5% compared to 0.0% in Woodland.
- Disability percentages are higher in Island park at 8.0% compared to 0.0% in Woodland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Island park | Woodland |
---|---|---|
No Schooling | 0.5% (27) | 0.0% (Data is updating) |
High School Diploma | 27.9% (1,388) | 0.0% (Data is updating) |
Less than High School | 8.9% (443) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 16.5% (819) | 0.0% (Data is updating) |
Education Levels Comparison: Island park vs Woodland
- A higher percentage of residents in Island park have no formal schooling at 0.5% compared to 0.0% in Woodland.
- A higher percentage of residents in Island park hold a high school diploma at 27.9% compared to 0.0% in Woodland.
- More residents in Island park have less than a high school education at 8.9% compared to 0.0% in Woodland.
- A higher percentage of residents in Island park hold a bachelor's degree or higher at 16.5% compared to 0.0% in Woodland.
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.