Demographics details for Kingston, RI vs Lyndhurst, NJ
Population Overview
Compare main population characteristics in Kingston, RI vs Lyndhurst, NJ.
| Data | Kingston | Lyndhurst |
|---|---|---|
| Population | 6,560 | 22,580 |
| Median Age | 19.6 years | 45.0 years |
| Median Income | $108,056 | $105,000 |
| Married Families | 13.0% | 50.0% |
| Poverty Level | 11% | 6% |
| Unemployment Rate | 2.6 | 4.0 |
Population Comparison: Kingston vs Lyndhurst
- The population in Lyndhurst is higher at 22,580, compared to 6,560 in Kingston.
- The median age in Lyndhurst is higher at 45.0 years, compared to 19.6 years in Kingston.
- Kingston has a higher median income of $108,056 compared to $105,000 in Lyndhurst.
- In Lyndhurst, the percentage of married families is higher at 50.0%, compared to 13.0% in Kingston.
- Kingston has a higher poverty level at 11% compared to 6% in Lyndhurst.
- Lyndhurst has a higher unemployment rate at 4.0% compared to 2.6% in Kingston.
Demographics
Demographics Kingston vs Lyndhurst provide insight into the diversity of the communities to compare.
| Demographic | Kingston | Lyndhurst |
|---|---|---|
| Black | 5 | 10 |
| White | 80 | 70 |
| Asian | 2 | 10 |
| Hispanic | 6 | 10 |
| Two or More Races | 6 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kingston vs Lyndhurst
- In Lyndhurst, the percentage of Black residents is higher at 10% compared to 5% in Kingston.
- Kingston has a higher percentage of White residents at 80% compared to 70% in Lyndhurst.
- In Lyndhurst, the Asian population stands at 10%, greater than 2% in Kingston.
- Lyndhurst has a higher percentage of Hispanic residents at 10%, compared to 6% in Kingston.
- More residents identify as two or more races in Kingston at 6% compared to 0% in Lyndhurst.
- A greater percentage of American Indian residents live in Kingston at 1% compared to 0% in Lyndhurst.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingston | Lyndhurst |
|---|---|---|
| Mental Health Not Good | 14.9% | Data is updating% |
| Physical Health Not Good | 8.7% | Data is updating% |
| Depression | 24.9% | Data is updating% |
| Smoking | 11.4% | Data is updating% |
| Binge Drinking | 19.1% | Data is updating% |
| Obesity | 25.9% | Data is updating% |
| Disability Percentage | 6.0% | Data is updating% |
Health Statistics Comparison: Kingston vs Lyndhurst
- More residents in Kingston report poor mental health at 14.9% compared to 0.0% in Lyndhurst.
- Depression is more prevalent in Kingston at 24.9% compared to 0.0% in Lyndhurst.
- Smoking is more prevalent in Kingston at 11.4% compared to 0.0% in Lyndhurst.
- Binge drinking is more common in Kingston at 19.1% compared to 0.0% in Lyndhurst.
- Obesity rates are higher in Kingston at 25.9% compared to 0.0% in Lyndhurst.
- Disability percentages are higher in Kingston at 6.0% compared to 0.0% in Lyndhurst.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingston | Lyndhurst |
|---|---|---|
| No Schooling | 0.0% (3) | 0.0% (Data is updating) |
| High School Diploma | 1.1% (71) | 0.0% (Data is updating) |
| Less than High School | 0.1% (6) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 12.8% (839) | 0.0% (Data is updating) |
Education Levels Comparison: Kingston vs Lyndhurst
- The percentage of residents with no formal schooling is the same in both Kingston and Lyndhurst at 0.0%.
- A higher percentage of residents in Kingston hold a high school diploma at 1.1% compared to 0.0% in Lyndhurst.
- More residents in Kingston have less than a high school education at 0.1% compared to 0.0% in Lyndhurst.
- A higher percentage of residents in Kingston hold a bachelor's degree or higher at 12.8% compared to 0.0% in Lyndhurst.
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.