Demographics details for Trumann, AR vs South plainfield, NJ
Population Overview
Compare main population characteristics in Trumann, AR vs South plainfield, NJ.
Data | Trumann | South plainfield |
---|---|---|
Population | 7,305 | 24,228 |
Median Age | 40.0 years | 41.8 years |
Median Income | $37,618 | $123,417 |
Married Families | 35.0% | 50.0% |
Poverty Level | 13% | 6% |
Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Trumann vs South plainfield
- The population in South plainfield is higher at 24,228, compared to 7,305 in Trumann.
- The median age in South plainfield is higher at 41.8 years, compared to 40.0 years in Trumann.
- South plainfield has a higher median income of $123,417, compared to $37,618 in Trumann.
- In South plainfield, the percentage of married families is higher at 50.0%, compared to 35.0% in Trumann.
- Trumann has a higher poverty level at 13% compared to 6% in South plainfield.
- The unemployment rate is the same in both Trumann and South plainfield at 4.2%.
Demographics
Demographics Trumann vs South plainfield provide insight into the diversity of the communities to compare.
Demographic | Trumann | South plainfield |
---|---|---|
Black | 5 | 12 |
White | 84 | 46 |
Asian | Data is updating | 17 |
Hispanic | 3 | 18 |
Two or More Races | 8 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Trumann vs South plainfield
- In South plainfield, the percentage of Black residents is higher at 12% compared to 5% in Trumann.
- Trumann has a higher percentage of White residents at 84% compared to 46% in South plainfield.
- In South plainfield, the Asian population stands at 17%, greater than 0% in Trumann.
- South plainfield has a higher percentage of Hispanic residents at 18%, compared to 3% in Trumann.
- More residents identify as two or more races in Trumann at 8% compared to 7% in South plainfield.
- The percentage of American Indian residents is the same in both Trumann and South plainfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Trumann | South plainfield |
---|---|---|
Mental Health Not Good | 20.8% | 14.4% |
Physical Health Not Good | 15.2% | 9.0% |
Depression | 28.5% | 19.0% |
Smoking | 25.0% | 12.0% |
Binge Drinking | 14.4% | 15.2% |
Obesity | 44.6% | 29.0% |
Disability Percentage | 24.0% | 9.0% |
Health Statistics Comparison: Trumann vs South plainfield
- More residents in Trumann report poor mental health at 20.8% compared to 14.4% in South plainfield.
- Depression is more prevalent in Trumann at 28.5% compared to 19.0% in South plainfield.
- Smoking is more prevalent in Trumann at 25.0% compared to 12.0% in South plainfield.
- More residents engage in binge drinking in South plainfield at 15.2% compared to 14.4% in Trumann.
- Obesity rates are higher in Trumann at 44.6% compared to 29.0% in South plainfield.
- Disability percentages are higher in Trumann at 24.0% compared to 9.0% in South plainfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Trumann | South plainfield |
---|---|---|
No Schooling | 1.8% (135) | 1.4% (328) |
High School Diploma | 25.9% (1,895) | 16.6% (4,012) |
Less than High School | 24.4% (1,780) | 9.0% (2,175) |
Bachelor's Degree and Higher | 6.7% (487) | 31.5% (7,629) |
Education Levels Comparison: Trumann vs South plainfield
- A higher percentage of residents in Trumann have no formal schooling at 1.8% compared to 1.4% in South plainfield.
- A higher percentage of residents in Trumann hold a high school diploma at 25.9% compared to 16.6% in South plainfield.
- More residents in Trumann have less than a high school education at 24.4% compared to 9.0% in South plainfield.
- In South plainfield, a larger share of residents have a bachelor's degree or higher at 31.5% compared to 6.7% in Trumann.
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.