Demographics details for Dardanelle, AR vs South river, NJ
Population Overview
Compare main population characteristics in Dardanelle, AR vs South river, NJ.
Data | Dardanelle | South river |
---|---|---|
Population | 4,518 | 15,990 |
Median Age | 37.9 years | 37.1 years |
Median Income | $47,724 | $95,981 |
Married Families | 41.0% | 39.0% |
Poverty Level | 19% | 8% |
Unemployment Rate | 5.7 | 4.2 |
Population Comparison: Dardanelle vs South river
- The population in South river is higher at 15,990, compared to 4,518 in Dardanelle.
- Residents in Dardanelle have a higher median age of 37.9 years compared to 37.1 years in South river.
- South river has a higher median income of $95,981, compared to $47,724 in Dardanelle.
- A higher percentage of married families is found in Dardanelle at 41.0% compared to 39.0% in South river.
- Dardanelle has a higher poverty level at 19% compared to 8% in South river.
- The unemployment rate in Dardanelle is higher at 5.7%, compared to 4.2% in South river.
Demographics
Demographics Dardanelle vs South river provide insight into the diversity of the communities to compare.
Demographic | Dardanelle | South river |
---|---|---|
Black | 8 | 7 |
White | 50 | 50 |
Asian | Data is updating | 5 |
Hispanic | 40 | 30 |
Two or More Races | 2 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Dardanelle vs South river
- A higher percentage of Black residents are in Dardanelle at 8% compared to 7% in South river.
- The percentage of White residents is the same in both Dardanelle and South river at 50%.
- In South river, the Asian population stands at 5%, greater than 0% in Dardanelle.
- The Hispanic community is larger in Dardanelle at 40% compared to 30% in South river.
- The percentage of residents identifying as two or more races is higher in South river at 7%, compared to 2% in Dardanelle.
- In South river, the percentage of American Indian residents is higher at 1%, compared to 0% in Dardanelle.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dardanelle | South river |
---|---|---|
Mental Health Not Good | 19.2% | 16.0% |
Physical Health Not Good | 14.9% | 10.4% |
Depression | 26.3% | 21.0% |
Smoking | 22.1% | 14.6% |
Binge Drinking | 14.0% | 16.0% |
Obesity | 37.5% | 31.6% |
Disability Percentage | 21.0% | 11.0% |
Health Statistics Comparison: Dardanelle vs South river
- More residents in Dardanelle report poor mental health at 19.2% compared to 16.0% in South river.
- Depression is more prevalent in Dardanelle at 26.3% compared to 21.0% in South river.
- Smoking is more prevalent in Dardanelle at 22.1% compared to 14.6% in South river.
- More residents engage in binge drinking in South river at 16.0% compared to 14.0% in Dardanelle.
- Obesity rates are higher in Dardanelle at 37.5% compared to 31.6% in South river.
- Disability percentages are higher in Dardanelle at 21.0% 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 | Dardanelle | South river |
---|---|---|
No Schooling | 2.1% (94) | 2.5% (394) |
High School Diploma | 16.5% (745) | 18.7% (2,985) |
Less than High School | 36.0% (1,626) | 20.6% (3,292) |
Bachelor's Degree and Higher | 7.7% (346) | 18.9% (3,025) |
Education Levels Comparison: Dardanelle vs South river
- In South river, a larger percentage of residents lack formal schooling at 2.5% compared to 2.1% in Dardanelle.
- In South river, the rate of residents with high school diplomas is higher at 18.7% compared to 16.5% in Dardanelle.
- More residents in Dardanelle have less than a high school education at 36.0% compared to 20.6% in South river.
- In South river, a larger share of residents have a bachelor's degree or higher at 18.9% compared to 7.7% in Dardanelle.
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.