Demographics details for Palmer, MA vs Dekalb, IL
Population Overview
Compare main population characteristics in Palmer, MA vs Dekalb, IL.
| Data | Palmer | Dekalb |
|---|---|---|
| Population | 3,900 | 40,220 |
| Median Age | 42.0 years | 24.9 years |
| Median Income | $65,000 | $47,410 |
| Married Families | 55.0% | 25.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 3.5 | 6.3 |
Population Comparison: Palmer vs Dekalb
- The population in Dekalb is higher at 40,220, compared to 3,900 in Palmer.
- Residents in Palmer have a higher median age of 42.0 years compared to 24.9 years in Dekalb.
- Palmer has a higher median income of $65,000 compared to $47,410 in Dekalb.
- A higher percentage of married families is found in Palmer at 55.0% compared to 25.0% in Dekalb.
- The poverty level is higher in Dekalb at 13%, compared to 10% in Palmer.
- Dekalb has a higher unemployment rate at 6.3% compared to 3.5% in Palmer.
Demographics
Demographics Palmer vs Dekalb provide insight into the diversity of the communities to compare.
| Demographic | Palmer | Dekalb |
|---|---|---|
| Black | 1 | 15 |
| White | 96 | 54 |
| Asian | 1 | 5 |
| Hispanic | 2 | 16 |
| Two or More Races | Data is updating | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Palmer vs Dekalb
- In Dekalb, the percentage of Black residents is higher at 15% compared to 1% in Palmer.
- Palmer has a higher percentage of White residents at 96% compared to 54% in Dekalb.
- In Dekalb, the Asian population stands at 5%, greater than 1% in Palmer.
- Dekalb has a higher percentage of Hispanic residents at 16%, compared to 2% in Palmer.
- The percentage of residents identifying as two or more races is higher in Dekalb at 9%, compared to 0% in Palmer.
- In Dekalb, the percentage of American Indian residents is higher at 1%, compared to 0% in Palmer.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palmer | Dekalb |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.6% |
| Physical Health Not Good | Data is updating% | 11.4% |
| Depression | Data is updating% | 21.2% |
| Smoking | Data is updating% | 16.6% |
| Binge Drinking | Data is updating% | 16.5% |
| Obesity | Data is updating% | 39.0% |
| Disability Percentage | Data is updating% | 10.0% |
Health Statistics Comparison: Palmer vs Dekalb
- In Dekalb, a higher percentage report poor mental health at 16.6% compared to 0.0% in Palmer.
- Higher depression rates are seen in Dekalb at 21.2% versus 0.0% in Palmer.
- Dekalb has a higher smoking rate at 16.6% compared to 0.0% in Palmer.
- More residents engage in binge drinking in Dekalb at 16.5% compared to 0.0% in Palmer.
- Dekalb has higher obesity rates at 39.0% compared to 0.0% in Palmer.
- There is a higher percentage of disabled individuals in Dekalb at 10.0% compared to 0.0% in Palmer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Palmer | Dekalb |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.3% (531) |
| High School Diploma | 0.0% (Data is updating) | 9.4% (3,786) |
| Less than High School | 0.0% (Data is updating) | 8.3% (3,334) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 19.5% (7,828) |
Education Levels Comparison: Palmer vs Dekalb
- In Dekalb, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Palmer.
- In Dekalb, the rate of residents with high school diplomas is higher at 9.4% compared to 0.0% in Palmer.
- The percentage of residents with less than a high school education is higher in Dekalb at 8.3%, compared to 0.0% in Palmer.
- In Dekalb, a larger share of residents have a bachelor's degree or higher at 19.5% compared to 0.0% in Palmer.
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.