Demographics details for Jefferson, MD vs Pella, IA
Population Overview
Compare main population characteristics in Jefferson, MD vs Pella, IA.
| Data | Jefferson | Pella |
|---|---|---|
| Population | 2,742 | 10,744 |
| Median Age | 41.4 years | 35.5 years |
| Median Income | $137,667 | $86,025 |
| Married Families | 51.0% | 44.0% |
| Poverty Level | Data is updating | 7% |
| Unemployment Rate | 3.2 | 2.5 |
Population Comparison: Jefferson vs Pella
- The population in Pella is higher at 10,744, compared to 2,742 in Jefferson.
- Residents in Jefferson have a higher median age of 41.4 years compared to 35.5 years in Pella.
- Jefferson has a higher median income of $137,667 compared to $86,025 in Pella.
- A higher percentage of married families is found in Jefferson at 51.0% compared to 44.0% in Pella.
- The poverty level is higher in Pella at 7%, compared to 0% in Jefferson.
- The unemployment rate in Jefferson is higher at 3.2%, compared to 2.5% in Pella.
Demographics
Demographics Jefferson vs Pella provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Pella |
|---|---|---|
| Black | 6 | 1 |
| White | 82 | 93 |
| Asian | 3 | 1 |
| Hispanic | 5 | 3 |
| Two or More Races | 4 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Jefferson vs Pella
- A higher percentage of Black residents are in Jefferson at 6% compared to 1% in Pella.
- The percentage of White residents is higher in Pella at 93% compared to 82% in Jefferson.
- The Asian population is larger in Jefferson at 3% compared to 1% in Pella.
- The Hispanic community is larger in Jefferson at 5% compared to 3% in Pella.
- More residents identify as two or more races in Jefferson at 4% compared to 2% in Pella.
- The percentage of American Indian residents is the same in both Jefferson and Pella at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Pella |
|---|---|---|
| Mental Health Not Good | 14.8% | 14.4% |
| Physical Health Not Good | 7.8% | 8.5% |
| Depression | 20.4% | 18.6% |
| Smoking | 12.6% | 14.6% |
| Binge Drinking | 17.8% | 22.4% |
| Obesity | 32.1% | 35.5% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Jefferson vs Pella
- More residents in Jefferson report poor mental health at 14.8% compared to 14.4% in Pella.
- Depression is more prevalent in Jefferson at 20.4% compared to 18.6% in Pella.
- Pella has a higher smoking rate at 14.6% compared to 12.6% in Jefferson.
- More residents engage in binge drinking in Pella at 22.4% compared to 17.8% in Jefferson.
- Pella has higher obesity rates at 35.5% compared to 32.1% in Jefferson.
- Disability percentages are the same in both Jefferson and Pella at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Pella |
|---|---|---|
| No Schooling | 0.4% (10) | 0.2% (22) |
| High School Diploma | 18.8% (516) | 13.3% (1,433) |
| Less than High School | 2.3% (62) | 6.0% (646) |
| Bachelor's Degree and Higher | 27.4% (751) | 28.3% (3,036) |
Education Levels Comparison: Jefferson vs Pella
- A higher percentage of residents in Jefferson have no formal schooling at 0.4% compared to 0.2% in Pella.
- A higher percentage of residents in Jefferson hold a high school diploma at 18.8% compared to 13.3% in Pella.
- The percentage of residents with less than a high school education is higher in Pella at 6.0%, compared to 2.3% in Jefferson.
- In Pella, a larger share of residents have a bachelor's degree or higher at 28.3% compared to 27.4% in Jefferson.
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.