Demographics details for South river, NJ vs London, KY
Population Overview
Compare main population characteristics in South river, NJ vs London, KY.
| Data | South river | London |
|---|---|---|
| Population | 15,990 | 7,578 |
| Median Age | 37.1 years | 39.5 years |
| Median Income | $95,981 | $45,858 |
| Married Families | 39.0% | 35.0% |
| Poverty Level | 8% | 13% |
| Unemployment Rate | 4.2 | 3.8 |
Population Comparison: South river vs London
- In South river, the population is higher at 15,990, compared to 7,578 in London.
- The median age in London is higher at 39.5 years, compared to 37.1 years in South river.
- South river has a higher median income of $95,981 compared to $45,858 in London.
- A higher percentage of married families is found in South river at 39.0% compared to 35.0% in London.
- The poverty level is higher in London at 13%, compared to 8% in South river.
- The unemployment rate in South river is higher at 4.2%, compared to 3.8% in London.
Demographics
Demographics South river vs London provide insight into the diversity of the communities to compare.
| Demographic | South river | London |
|---|---|---|
| Black | 7 | 2 |
| White | 50 | 93 |
| Asian | 5 | 1 |
| Hispanic | 30 | 2 |
| Two or More Races | 7 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: South river vs London
- A higher percentage of Black residents are in South river at 7% compared to 2% in London.
- The percentage of White residents is higher in London at 93% compared to 50% in South river.
- The Asian population is larger in South river at 5% compared to 1% in London.
- The Hispanic community is larger in South river at 30% compared to 2% in London.
- More residents identify as two or more races in South river at 7% compared to 2% in London.
- A greater percentage of American Indian residents live in South river at 1% compared to 0% in London.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | South river | London |
|---|---|---|
| Mental Health Not Good | 16.0% | 20.5% |
| Physical Health Not Good | 10.4% | 16.0% |
| Depression | 21.0% | 29.0% |
| Smoking | 14.6% | 24.5% |
| Binge Drinking | 16.0% | 14.8% |
| Obesity | 31.6% | 46.7% |
| Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: South river vs London
- In London, a higher percentage report poor mental health at 20.5% compared to 16.0% in South river.
- Higher depression rates are seen in London at 29.0% versus 21.0% in South river.
- London has a higher smoking rate at 24.5% compared to 14.6% in South river.
- Binge drinking is more common in South river at 16.0% compared to 14.8% in London.
- London has higher obesity rates at 46.7% compared to 31.6% in South river.
- There is a higher percentage of disabled individuals in London at 18.0% compared to 11.0% in South river.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | South river | London |
|---|---|---|
| No Schooling | 2.5% (394) | 1.2% (93) |
| High School Diploma | 18.7% (2,985) | 19.7% (1,496) |
| Less than High School | 20.6% (3,292) | 18.6% (1,409) |
| Bachelor's Degree and Higher | 18.9% (3,025) | 11.9% (900) |
Education Levels Comparison: South river vs London
- A higher percentage of residents in South river have no formal schooling at 2.5% compared to 1.2% in London.
- In London, the rate of residents with high school diplomas is higher at 19.7% compared to 18.7% in South river.
- More residents in South river have less than a high school education at 20.6% compared to 18.6% in London.
- A higher percentage of residents in South river hold a bachelor's degree or higher at 18.9% compared to 11.9% in London.
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.