Demographics details for Garfield, WA vs Seaside park, NJ
Population Overview
Compare main population characteristics in Garfield, WA vs Seaside park, NJ.
| Data | Garfield | Seaside park |
|---|---|---|
| Population | 2,363 | 1,473 |
| Median Age | 49.9 years | 59.5 years |
| Median Income | $57,958 | $80,658 |
| Married Families | 57.0% | 57.0% |
| Poverty Level | Data is updating | 5% |
| Unemployment Rate | 4.4 | 4.1 |
Population Comparison: Garfield vs Seaside park
- In Garfield, the population is higher at 2,363, compared to 1,473 in Seaside park.
- The median age in Seaside park is higher at 59.5 years, compared to 49.9 years in Garfield.
- Seaside park has a higher median income of $80,658, compared to $57,958 in Garfield.
- The percentage of married families is the same in both Garfield and Seaside park at 57.0%.
- The poverty level is higher in Seaside park at 5%, compared to 0% in Garfield.
- The unemployment rate in Garfield is higher at 4.4%, compared to 4.1% in Seaside park.
Demographics
Demographics Garfield vs Seaside park provide insight into the diversity of the communities to compare.
| Demographic | Garfield | Seaside park |
|---|---|---|
| Black | 1 | 3 |
| White | 88 | 90 |
| Asian | 1 | 4 |
| Hispanic | 4 | 1 |
| Two or More Races | 6 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Garfield vs Seaside park
- In Seaside park, the percentage of Black residents is higher at 3% compared to 1% in Garfield.
- The percentage of White residents is higher in Seaside park at 90% compared to 88% in Garfield.
- In Seaside park, the Asian population stands at 4%, greater than 1% in Garfield.
- The Hispanic community is larger in Garfield at 4% compared to 1% in Seaside park.
- More residents identify as two or more races in Garfield at 6% compared to 2% in Seaside park.
- The percentage of American Indian residents is the same in both Garfield and Seaside park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Garfield | Seaside park |
|---|---|---|
| Mental Health Not Good | 17.2% | 15.4% |
| Physical Health Not Good | 11.0% | 10.1% |
| Depression | 28.7% | 23.1% |
| Smoking | 14.6% | 13.2% |
| Binge Drinking | 18.2% | 18.2% |
| Obesity | 40.3% | 30.7% |
| Disability Percentage | 23.0% | 13.0% |
Health Statistics Comparison: Garfield vs Seaside park
- More residents in Garfield report poor mental health at 17.2% compared to 15.4% in Seaside park.
- Depression is more prevalent in Garfield at 28.7% compared to 23.1% in Seaside park.
- Smoking is more prevalent in Garfield at 14.6% compared to 13.2% in Seaside park.
- Binge drinking rates are similar in both Garfield and Seaside park at 18.2%.
- Obesity rates are higher in Garfield at 40.3% compared to 30.7% in Seaside park.
- Disability percentages are higher in Garfield at 23.0% compared to 13.0% in Seaside park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Garfield | Seaside park |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 15.7% (371) | 22.2% (327) |
| Less than High School | 10.2% (242) | 3.3% (49) |
| Bachelor's Degree and Higher | 19.4% (458) | 56.3% (830) |
Education Levels Comparison: Garfield vs Seaside park
- The percentage of residents with no formal schooling is the same in both Garfield and Seaside park at 0.0%.
- In Seaside park, the rate of residents with high school diplomas is higher at 22.2% compared to 15.7% in Garfield.
- More residents in Garfield have less than a high school education at 10.2% compared to 3.3% in Seaside park.
- In Seaside park, a larger share of residents have a bachelor's degree or higher at 56.3% compared to 19.4% in Garfield.
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.