Demographics details for Island park, NY vs Everett, WA
Population Overview
Compare main population characteristics in Island park, NY vs Everett, WA.
Data | Island park | Everett |
---|---|---|
Population | 4,969 | 111,337 |
Median Age | 42.7 years | 36.4 years |
Median Income | $96,875 | $77,806 |
Married Families | 38.0% | 34.0% |
Poverty Level | 6% | 10% |
Unemployment Rate | 4.5 | 5.1 |
Population Comparison: Island park vs Everett
- The population in Everett is higher at 111,337, compared to 4,969 in Island park.
- Residents in Island park have a higher median age of 42.7 years compared to 36.4 years in Everett.
- Island park has a higher median income of $96,875 compared to $77,806 in Everett.
- A higher percentage of married families is found in Island park at 38.0% compared to 34.0% in Everett.
- The poverty level is higher in Everett at 10%, compared to 6% in Island park.
- Everett has a higher unemployment rate at 5.1% compared to 4.5% in Island park.
Demographics
Demographics Island park vs Everett provide insight into the diversity of the communities to compare.
Demographic | Island park | Everett |
---|---|---|
Black | 1 | 6 |
White | 56 | 56 |
Asian | 4 | 10 |
Hispanic | 33 | 17 |
Two or More Races | 6 | 10 |
American Indian | Data is updating | 1 |
Demographics Comparison: Island park vs Everett
- In Everett, the percentage of Black residents is higher at 6% compared to 1% in Island park.
- The percentage of White residents is the same in both Island park and Everett at 56%.
- In Everett, the Asian population stands at 10%, greater than 4% in Island park.
- The Hispanic community is larger in Island park at 33% compared to 17% in Everett.
- The percentage of residents identifying as two or more races is higher in Everett at 10%, compared to 6% in Island park.
- In Everett, the percentage of American Indian residents is higher at 1%, compared to 0% in Island park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Island park | Everett |
---|---|---|
Mental Health Not Good | 14.6% | 18.1% |
Physical Health Not Good | 9.8% | 12.4% |
Depression | 17.4% | 29.8% |
Smoking | 14.1% | 14.5% |
Binge Drinking | 17.9% | 15.3% |
Obesity | 29.5% | 35.3% |
Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: Island park vs Everett
- In Everett, a higher percentage report poor mental health at 18.1% compared to 14.6% in Island park.
- Higher depression rates are seen in Everett at 29.8% versus 17.4% in Island park.
- Everett has a higher smoking rate at 14.5% compared to 14.1% in Island park.
- Binge drinking is more common in Island park at 17.9% compared to 15.3% in Everett.
- Everett has higher obesity rates at 35.3% compared to 29.5% in Island park.
- There is a higher percentage of disabled individuals in Everett at 14.0% compared to 8.0% in Island park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Island park | Everett |
---|---|---|
No Schooling | 0.5% (27) | 1.4% (1,505) |
High School Diploma | 27.9% (1,388) | 14.6% (16,295) |
Less than High School | 8.9% (443) | 13.8% (15,320) |
Bachelor's Degree and Higher | 16.5% (819) | 18.9% (21,025) |
Education Levels Comparison: Island park vs Everett
- In Everett, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Island park.
- A higher percentage of residents in Island park hold a high school diploma at 27.9% compared to 14.6% in Everett.
- The percentage of residents with less than a high school education is higher in Everett at 13.8%, compared to 8.9% in Island park.
- In Everett, a larger share of residents have a bachelor's degree or higher at 18.9% compared to 16.5% in Island park.
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.