Demographics details for Dekalb, IL vs Chester, MT
Population Overview
Compare main population characteristics in Dekalb, IL vs Chester, MT.
| Data | Dekalb | Chester |
|---|---|---|
| Population | 40,220 | 852 |
| Median Age | 24.9 years | 49.1 years |
| Median Income | $47,410 | $52,750 |
| Married Families | 25.0% | 33.0% |
| Poverty Level | 13% | 13% |
| Unemployment Rate | 6.3 | 3.5 |
Population Comparison: Dekalb vs Chester
- In Dekalb, the population is higher at 40,220, compared to 852 in Chester.
- The median age in Chester is higher at 49.1 years, compared to 24.9 years in Dekalb.
- Chester has a higher median income of $52,750, compared to $47,410 in Dekalb.
- In Chester, the percentage of married families is higher at 33.0%, compared to 25.0% in Dekalb.
- The poverty level is identical in both Dekalb and Chester at 13%.
- The unemployment rate in Dekalb is higher at 6.3%, compared to 3.5% in Chester.
Demographics
Demographics Dekalb vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Dekalb | Chester |
|---|---|---|
| Black | 15 | Data is updating |
| White | 54 | 94 |
| Asian | 5 | Data is updating |
| Hispanic | 16 | 1 |
| Two or More Races | 9 | 4 |
| American Indian | 1 | 1 |
Demographics Comparison: Dekalb vs Chester
- A higher percentage of Black residents are in Dekalb at 15% compared to 0% in Chester.
- The percentage of White residents is higher in Chester at 94% compared to 54% in Dekalb.
- The Asian population is larger in Dekalb at 5% compared to 0% in Chester.
- The Hispanic community is larger in Dekalb at 16% compared to 1% in Chester.
- More residents identify as two or more races in Dekalb at 9% compared to 4% in Chester.
- The percentage of American Indian residents is the same in both Dekalb and Chester at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dekalb | Chester |
|---|---|---|
| Mental Health Not Good | 16.6% | 19.3% |
| Physical Health Not Good | 11.4% | 13.8% |
| Depression | 21.2% | 26.6% |
| Smoking | 16.6% | 23.1% |
| Binge Drinking | 16.5% | 20.7% |
| Obesity | 39.0% | 37.3% |
| Disability Percentage | 10.0% | 21.0% |
Health Statistics Comparison: Dekalb vs Chester
- In Chester, a higher percentage report poor mental health at 19.3% compared to 16.6% in Dekalb.
- Higher depression rates are seen in Chester at 26.6% versus 21.2% in Dekalb.
- Chester has a higher smoking rate at 23.1% compared to 16.6% in Dekalb.
- More residents engage in binge drinking in Chester at 20.7% compared to 16.5% in Dekalb.
- Obesity rates are higher in Dekalb at 39.0% compared to 37.3% in Chester.
- There is a higher percentage of disabled individuals in Chester at 21.0% compared to 10.0% in Dekalb.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dekalb | Chester |
|---|---|---|
| No Schooling | 1.3% (531) | 0.2% (2) |
| High School Diploma | 9.4% (3,786) | 16.1% (137) |
| Less than High School | 8.3% (3,334) | 11.9% (101) |
| Bachelor's Degree and Higher | 19.5% (7,828) | 16.1% (137) |
Education Levels Comparison: Dekalb vs Chester
- A higher percentage of residents in Dekalb have no formal schooling at 1.3% compared to 0.2% in Chester.
- In Chester, the rate of residents with high school diplomas is higher at 16.1% compared to 9.4% in Dekalb.
- The percentage of residents with less than a high school education is higher in Chester at 11.9%, compared to 8.3% in Dekalb.
- A higher percentage of residents in Dekalb hold a bachelor's degree or higher at 19.5% compared to 16.1% in Chester.
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.