Demographics details for Jefferson city, MO vs Paramus, NJ
Population Overview
Compare main population characteristics in Jefferson city, MO vs Paramus, NJ.
| Data | Jefferson city | Paramus |
|---|---|---|
| Population | 42,528 | 26,359 |
| Median Age | 38.5 years | 49.0 years |
| Median Income | $63,649 | $136,824 |
| Married Families | 37.0% | 47.0% |
| Poverty Level | 11% | 4% |
| Unemployment Rate | 3.9 | 4.3 |
Population Comparison: Jefferson city vs Paramus
- In Jefferson city, the population is higher at 42,528, compared to 26,359 in Paramus.
- The median age in Paramus is higher at 49.0 years, compared to 38.5 years in Jefferson city.
- Paramus has a higher median income of $136,824, compared to $63,649 in Jefferson city.
- In Paramus, the percentage of married families is higher at 47.0%, compared to 37.0% in Jefferson city.
- Jefferson city has a higher poverty level at 11% compared to 4% in Paramus.
- Paramus has a higher unemployment rate at 4.3% compared to 3.9% in Jefferson city.
Demographics
Demographics Jefferson city vs Paramus provide insight into the diversity of the communities to compare.
| Demographic | Jefferson city | Paramus |
|---|---|---|
| Black | 18 | 3 |
| White | 72 | 50 |
| Asian | 3 | 24 |
| Hispanic | 3 | 14 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Jefferson city vs Paramus
- A higher percentage of Black residents are in Jefferson city at 18% compared to 3% in Paramus.
- Jefferson city has a higher percentage of White residents at 72% compared to 50% in Paramus.
- In Paramus, the Asian population stands at 24%, greater than 3% in Jefferson city.
- Paramus has a higher percentage of Hispanic residents at 14%, compared to 3% in Jefferson city.
- The percentage of residents identifying as two or more races is higher in Paramus at 8%, compared to 4% in Jefferson city.
- In Paramus, the percentage of American Indian residents is higher at 1%, compared to 0% in Jefferson city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson city | Paramus |
|---|---|---|
| Mental Health Not Good | 17.1% | 12.7% |
| Physical Health Not Good | 11.6% | 7.6% |
| Depression | 22.6% | 16.1% |
| Smoking | 18.6% | 10.9% |
| Binge Drinking | 16.9% | 17.0% |
| Obesity | 37.4% | 22.8% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Jefferson city vs Paramus
- More residents in Jefferson city report poor mental health at 17.1% compared to 12.7% in Paramus.
- Depression is more prevalent in Jefferson city at 22.6% compared to 16.1% in Paramus.
- Smoking is more prevalent in Jefferson city at 18.6% compared to 10.9% in Paramus.
- More residents engage in binge drinking in Paramus at 17.0% compared to 16.9% in Jefferson city.
- Obesity rates are higher in Jefferson city at 37.4% compared to 22.8% in Paramus.
- Disability percentages are higher in Jefferson city at 11.0% compared to 9.0% in Paramus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson city | Paramus |
|---|---|---|
| No Schooling | 0.5% (233) | 0.7% (194) |
| High School Diploma | 15.9% (6,767) | 15.2% (4,006) |
| Less than High School | 11.0% (4,659) | 6.7% (1,764) |
| Bachelor's Degree and Higher | 24.8% (10,543) | 37.1% (9,785) |
Education Levels Comparison: Jefferson city vs Paramus
- In Paramus, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Jefferson city.
- A higher percentage of residents in Jefferson city hold a high school diploma at 15.9% compared to 15.2% in Paramus.
- More residents in Jefferson city have less than a high school education at 11.0% compared to 6.7% in Paramus.
- In Paramus, a larger share of residents have a bachelor's degree or higher at 37.1% compared to 24.8% in Jefferson city.
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.