Demographics details for Trumann, AR vs Elizabeth, NJ
Population Overview
Compare main population characteristics in Trumann, AR vs Elizabeth, NJ.
| Data | Trumann | Elizabeth |
|---|---|---|
| Population | 7,305 | 134,283 |
| Median Age | 40.0 years | 35.7 years |
| Median Income | $37,618 | $59,939 |
| Married Families | 35.0% | 30.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 4.2 | 5.9 |
Population Comparison: Trumann vs Elizabeth
- The population in Elizabeth is higher at 134,283, compared to 7,305 in Trumann.
- Residents in Trumann have a higher median age of 40.0 years compared to 35.7 years in Elizabeth.
- Elizabeth has a higher median income of $59,939, compared to $37,618 in Trumann.
- A higher percentage of married families is found in Trumann at 35.0% compared to 30.0% in Elizabeth.
- Trumann has a higher poverty level at 13% compared to 12% in Elizabeth.
- Elizabeth has a higher unemployment rate at 5.9% compared to 4.2% in Trumann.
Demographics
Demographics Trumann vs Elizabeth provide insight into the diversity of the communities to compare.
| Demographic | Trumann | Elizabeth |
|---|---|---|
| Black | 5 | 18 |
| White | 84 | 11 |
| Asian | Data is updating | 2 |
| Hispanic | 3 | 66 |
| Two or More Races | 8 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Trumann vs Elizabeth
- In Elizabeth, the percentage of Black residents is higher at 18% compared to 5% in Trumann.
- Trumann has a higher percentage of White residents at 84% compared to 11% in Elizabeth.
- In Elizabeth, the Asian population stands at 2%, greater than 0% in Trumann.
- Elizabeth has a higher percentage of Hispanic residents at 66%, compared to 3% in Trumann.
- The percentage of residents identifying as two or more races is higher in Elizabeth at 14%, compared to 8% in Trumann.
- In Elizabeth, the percentage of American Indian residents is higher at 1%, compared to 0% in Trumann.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Trumann | Elizabeth |
|---|---|---|
| Mental Health Not Good | 20.8% | 16.8% |
| Physical Health Not Good | 15.2% | 14.5% |
| Depression | 28.5% | 18.0% |
| Smoking | 25.0% | 17.7% |
| Binge Drinking | 14.4% | 15.0% |
| Obesity | 44.6% | 33.9% |
| Disability Percentage | 24.0% | 10.0% |
Health Statistics Comparison: Trumann vs Elizabeth
- More residents in Trumann report poor mental health at 20.8% compared to 16.8% in Elizabeth.
- Depression is more prevalent in Trumann at 28.5% compared to 18.0% in Elizabeth.
- Smoking is more prevalent in Trumann at 25.0% compared to 17.7% in Elizabeth.
- More residents engage in binge drinking in Elizabeth at 15.0% compared to 14.4% in Trumann.
- Obesity rates are higher in Trumann at 44.6% compared to 33.9% in Elizabeth.
- Disability percentages are higher in Trumann at 24.0% compared to 10.0% in Elizabeth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Trumann | Elizabeth |
|---|---|---|
| No Schooling | 1.8% (135) | 2.6% (3,513) |
| High School Diploma | 25.9% (1,895) | 23.7% (31,770) |
| Less than High School | 24.4% (1,780) | 31.8% (42,757) |
| Bachelor's Degree and Higher | 6.7% (487) | 9.2% (12,394) |
Education Levels Comparison: Trumann vs Elizabeth
- In Elizabeth, a larger percentage of residents lack formal schooling at 2.6% compared to 1.8% in Trumann.
- A higher percentage of residents in Trumann hold a high school diploma at 25.9% compared to 23.7% in Elizabeth.
- The percentage of residents with less than a high school education is higher in Elizabeth at 31.8%, compared to 24.4% in Trumann.
- In Elizabeth, a larger share of residents have a bachelor's degree or higher at 9.2% 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.