Demographics details for Elizabeth, NJ vs Bigfork, MN
Population Overview
Compare main population characteristics in Elizabeth, NJ vs Bigfork, MN.
| Data | Elizabeth | Bigfork |
|---|---|---|
| Population | 134,283 | 403 |
| Median Age | 35.7 years | 66.3 years |
| Median Income | $59,939 | $33,750 |
| Married Families | 30.0% | 31.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 5.9 | 3.5 |
Population Comparison: Elizabeth vs Bigfork
- In Elizabeth, the population is higher at 134,283, compared to 403 in Bigfork.
- The median age in Bigfork is higher at 66.3 years, compared to 35.7 years in Elizabeth.
- Elizabeth has a higher median income of $59,939 compared to $33,750 in Bigfork.
- In Bigfork, the percentage of married families is higher at 31.0%, compared to 30.0% in Elizabeth.
- Elizabeth has a higher poverty level at 12% compared to 9% in Bigfork.
- The unemployment rate in Elizabeth is higher at 5.9%, compared to 3.5% in Bigfork.
Demographics
Demographics Elizabeth vs Bigfork provide insight into the diversity of the communities to compare.
| Demographic | Elizabeth | Bigfork |
|---|---|---|
| Black | 18 | 1 |
| White | 11 | 93 |
| Asian | 2 | Data is updating |
| Hispanic | 66 | 2 |
| Two or More Races | 14 | 1 |
| American Indian | 1 | 3 |
Demographics Comparison: Elizabeth vs Bigfork
- A higher percentage of Black residents are in Elizabeth at 18% compared to 1% in Bigfork.
- The percentage of White residents is higher in Bigfork at 93% compared to 11% in Elizabeth.
- The Asian population is larger in Elizabeth at 2% compared to 0% in Bigfork.
- The Hispanic community is larger in Elizabeth at 66% compared to 2% in Bigfork.
- More residents identify as two or more races in Elizabeth at 14% compared to 1% in Bigfork.
- In Bigfork, the percentage of American Indian residents is higher at 3%, compared to 1% in Elizabeth.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elizabeth | Bigfork |
|---|---|---|
| Mental Health Not Good | 16.8% | 16.0% |
| Physical Health Not Good | 14.5% | 10.4% |
| Depression | 18.0% | 24.3% |
| Smoking | 17.7% | 21.9% |
| Binge Drinking | 15.0% | 18.4% |
| Obesity | 33.9% | 41.6% |
| Disability Percentage | 10.0% | 23.0% |
Health Statistics Comparison: Elizabeth vs Bigfork
- More residents in Elizabeth report poor mental health at 16.8% compared to 16.0% in Bigfork.
- Higher depression rates are seen in Bigfork at 24.3% versus 18.0% in Elizabeth.
- Bigfork has a higher smoking rate at 21.9% compared to 17.7% in Elizabeth.
- More residents engage in binge drinking in Bigfork at 18.4% compared to 15.0% in Elizabeth.
- Bigfork has higher obesity rates at 41.6% compared to 33.9% in Elizabeth.
- There is a higher percentage of disabled individuals in Bigfork at 23.0% 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 | Elizabeth | Bigfork |
|---|---|---|
| No Schooling | 2.6% (3,513) | 0.0% (Data is updating) |
| High School Diploma | 23.7% (31,770) | 26.6% (107) |
| Less than High School | 31.8% (42,757) | 9.7% (39) |
| Bachelor's Degree and Higher | 9.2% (12,394) | 8.2% (33) |
Education Levels Comparison: Elizabeth vs Bigfork
- A higher percentage of residents in Elizabeth have no formal schooling at 2.6% compared to 0.0% in Bigfork.
- In Bigfork, the rate of residents with high school diplomas is higher at 26.6% compared to 23.7% in Elizabeth.
- More residents in Elizabeth have less than a high school education at 31.8% compared to 9.7% in Bigfork.
- A higher percentage of residents in Elizabeth hold a bachelor's degree or higher at 9.2% compared to 8.2% in Bigfork.
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.