Demographics details for Washington, IN vs Kendall park, NJ
Population Overview
Compare main population characteristics in Washington, IN vs Kendall park, NJ.
Data | Washington | Kendall park |
---|---|---|
Population | 12,171 | 10,624 |
Median Age | 37.0 years | 44.5 years |
Median Income | $48,255 | $159,362 |
Married Families | 38.0% | 50.0% |
Poverty Level | 12% | 2% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Washington vs Kendall park
- In Washington, the population is higher at 12,171, compared to 10,624 in Kendall park.
- The median age in Kendall park is higher at 44.5 years, compared to 37.0 years in Washington.
- Kendall park has a higher median income of $159,362, compared to $48,255 in Washington.
- In Kendall park, the percentage of married families is higher at 50.0%, compared to 38.0% in Washington.
- Washington has a higher poverty level at 12% compared to 2% in Kendall park.
- Kendall park has a higher unemployment rate at 3.5% compared to 3.2% in Washington.
Demographics
Demographics Washington vs Kendall park provide insight into the diversity of the communities to compare.
Demographic | Washington | Kendall park |
---|---|---|
Black | 4 | 3 |
White | 76 | 46 |
Asian | Data is updating | 31 |
Hispanic | 12 | 14 |
Two or More Races | 8 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Kendall park
- A higher percentage of Black residents are in Washington at 4% compared to 3% in Kendall park.
- Washington has a higher percentage of White residents at 76% compared to 46% in Kendall park.
- In Kendall park, the Asian population stands at 31%, greater than 0% in Washington.
- Kendall park has a higher percentage of Hispanic residents at 14%, compared to 12% in Washington.
- More residents identify as two or more races in Washington at 8% compared to 6% in Kendall park.
- The percentage of American Indian residents is the same in both Washington and Kendall park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Washington | Kendall park |
---|---|---|
Mental Health Not Good | 18.7% | 12.5% |
Physical Health Not Good | 13.5% | 7.2% |
Depression | 27.6% | 17.6% |
Smoking | 23.3% | 8.6% |
Binge Drinking | 16.3% | 15.0% |
Obesity | 36.4% | 25.1% |
Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Washington vs Kendall park
- More residents in Washington report poor mental health at 18.7% compared to 12.5% in Kendall park.
- Depression is more prevalent in Washington at 27.6% compared to 17.6% in Kendall park.
- Smoking is more prevalent in Washington at 23.3% compared to 8.6% in Kendall park.
- Binge drinking is more common in Washington at 16.3% compared to 15.0% in Kendall park.
- Obesity rates are higher in Washington at 36.4% compared to 25.1% in Kendall park.
- Disability percentages are higher in Washington at 16.0% compared to 12.0% in Kendall park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Washington | Kendall park |
---|---|---|
No Schooling | 1.3% (163) | 0.2% (25) |
High School Diploma | 22.8% (2,771) | 11.8% (1,256) |
Less than High School | 20.2% (2,460) | 9.3% (992) |
Bachelor's Degree and Higher | 9.3% (1,129) | 38.1% (4,052) |
Education Levels Comparison: Washington vs Kendall park
- A higher percentage of residents in Washington have no formal schooling at 1.3% compared to 0.2% in Kendall park.
- A higher percentage of residents in Washington hold a high school diploma at 22.8% compared to 11.8% in Kendall park.
- More residents in Washington have less than a high school education at 20.2% compared to 9.3% in Kendall park.
- In Kendall park, a larger share of residents have a bachelor's degree or higher at 38.1% compared to 9.3% in Washington.
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.