Demographics details for Jefferson, SD vs Pontiac, IL
Population Overview
Compare main population characteristics in Jefferson, SD vs Pontiac, IL.
| Data | Jefferson | Pontiac |
|---|---|---|
| Population | 457 | 11,085 |
| Median Age | 37.1 years | 41.4 years |
| Median Income | $77,601 | $55,226 |
| Married Families | 59.0% | 35.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 2.3 | 4.2 |
Population Comparison: Jefferson vs Pontiac
- The population in Pontiac is higher at 11,085, compared to 457 in Jefferson.
- The median age in Pontiac is higher at 41.4 years, compared to 37.1 years in Jefferson.
- Jefferson has a higher median income of $77,601 compared to $55,226 in Pontiac.
- A higher percentage of married families is found in Jefferson at 59.0% compared to 35.0% in Pontiac.
- The poverty level is higher in Pontiac at 10%, compared to 5% in Jefferson.
- Pontiac has a higher unemployment rate at 4.2% compared to 2.3% in Jefferson.
Demographics
Demographics Jefferson vs Pontiac provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Pontiac |
|---|---|---|
| Black | Data is updating | 10 |
| White | 85 | 80 |
| Asian | Data is updating | 1 |
| Hispanic | 6 | 5 |
| Two or More Races | 4 | 4 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Jefferson vs Pontiac
- In Pontiac, the percentage of Black residents is higher at 10% compared to 0% in Jefferson.
- Jefferson has a higher percentage of White residents at 85% compared to 80% in Pontiac.
- In Pontiac, the Asian population stands at 1%, greater than 0% in Jefferson.
- The Hispanic community is larger in Jefferson at 6% compared to 5% in Pontiac.
- Both Jefferson and Pontiac have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Jefferson at 5% compared to 0% in Pontiac.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Pontiac |
|---|---|---|
| Mental Health Not Good | 12.5% | 17.2% |
| Physical Health Not Good | 8.2% | 12.9% |
| Depression | 16.7% | 21.4% |
| Smoking | 14.5% | 21.3% |
| Binge Drinking | 20.4% | 17.3% |
| Obesity | 38.6% | 40.8% |
| Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Jefferson vs Pontiac
- In Pontiac, a higher percentage report poor mental health at 17.2% compared to 12.5% in Jefferson.
- Higher depression rates are seen in Pontiac at 21.4% versus 16.7% in Jefferson.
- Pontiac has a higher smoking rate at 21.3% compared to 14.5% in Jefferson.
- Binge drinking is more common in Jefferson at 20.4% compared to 17.3% in Pontiac.
- Pontiac has higher obesity rates at 40.8% compared to 38.6% in Jefferson.
- There is a higher percentage of disabled individuals in Pontiac at 15.0% compared to 14.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Pontiac |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (41) |
| High School Diploma | 22.3% (102) | 24.5% (2,711) |
| Less than High School | 7.9% (36) | 15.6% (1,726) |
| Bachelor's Degree and Higher | 23.0% (105) | 12.6% (1,401) |
Education Levels Comparison: Jefferson vs Pontiac
- In Pontiac, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Jefferson.
- In Pontiac, the rate of residents with high school diplomas is higher at 24.5% compared to 22.3% in Jefferson.
- The percentage of residents with less than a high school education is higher in Pontiac at 15.6%, compared to 7.9% in Jefferson.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 23.0% compared to 12.6% in Pontiac.
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.