Demographics details for Dekalb, IL vs Madison heights, VA
Population Overview
Compare main population characteristics in Dekalb, IL vs Madison heights, VA.
Data | Dekalb | Madison heights |
---|---|---|
Population | 40,220 | 10,694 |
Median Age | 24.9 years | 44.1 years |
Median Income | $47,410 | $59,570 |
Married Families | 25.0% | 38.0% |
Poverty Level | 13% | 12% |
Unemployment Rate | 6.3 | 3.5 |
Population Comparison: Dekalb vs Madison heights
- In Dekalb, the population is higher at 40,220, compared to 10,694 in Madison heights.
- The median age in Madison heights is higher at 44.1 years, compared to 24.9 years in Dekalb.
- Madison heights has a higher median income of $59,570, compared to $47,410 in Dekalb.
- In Madison heights, the percentage of married families is higher at 38.0%, compared to 25.0% in Dekalb.
- Dekalb has a higher poverty level at 13% compared to 12% in Madison heights.
- The unemployment rate in Dekalb is higher at 6.3%, compared to 3.5% in Madison heights.
Demographics
Demographics Dekalb vs Madison heights provide insight into the diversity of the communities to compare.
Demographic | Dekalb | Madison heights |
---|---|---|
Black | 15 | 23 |
White | 54 | 71 |
Asian | 5 | Data is updating |
Hispanic | 16 | 3 |
Two or More Races | 9 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Dekalb vs Madison heights
- In Madison heights, the percentage of Black residents is higher at 23% compared to 15% in Dekalb.
- The percentage of White residents is higher in Madison heights at 71% compared to 54% in Dekalb.
- The Asian population is larger in Dekalb at 5% compared to 0% in Madison heights.
- The Hispanic community is larger in Dekalb at 16% compared to 3% in Madison heights.
- More residents identify as two or more races in Dekalb at 9% compared to 3% in Madison heights.
- A greater percentage of American Indian residents live in Dekalb at 1% compared to 0% in Madison heights.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dekalb | Madison heights |
---|---|---|
Mental Health Not Good | 16.6% | 18.3% |
Physical Health Not Good | 11.4% | 12.1% |
Depression | 21.2% | 24.7% |
Smoking | 16.6% | 19.0% |
Binge Drinking | 16.5% | 17.3% |
Obesity | 39.0% | 36.8% |
Disability Percentage | 10.0% | 20.0% |
Health Statistics Comparison: Dekalb vs Madison heights
- In Madison heights, a higher percentage report poor mental health at 18.3% compared to 16.6% in Dekalb.
- Higher depression rates are seen in Madison heights at 24.7% versus 21.2% in Dekalb.
- Madison heights has a higher smoking rate at 19.0% compared to 16.6% in Dekalb.
- More residents engage in binge drinking in Madison heights at 17.3% compared to 16.5% in Dekalb.
- Obesity rates are higher in Dekalb at 39.0% compared to 36.8% in Madison heights.
- There is a higher percentage of disabled individuals in Madison heights at 20.0% 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 | Madison heights |
---|---|---|
No Schooling | 1.3% (531) | 1.6% (171) |
High School Diploma | 9.4% (3,786) | 20.6% (2,206) |
Less than High School | 8.3% (3,334) | 16.4% (1,753) |
Bachelor's Degree and Higher | 19.5% (7,828) | 11.3% (1,207) |
Education Levels Comparison: Dekalb vs Madison heights
- In Madison heights, a larger percentage of residents lack formal schooling at 1.6% compared to 1.3% in Dekalb.
- In Madison heights, the rate of residents with high school diplomas is higher at 20.6% compared to 9.4% in Dekalb.
- The percentage of residents with less than a high school education is higher in Madison heights at 16.4%, 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 11.3% in Madison heights.
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.