Demographics details for Dekalb, IL vs Flower mound, TX
Population Overview
Compare main population characteristics in Dekalb, IL vs Flower mound, TX.
| Data | Dekalb | Flower mound |
|---|---|---|
| Population | 40,220 | 78,486 |
| Median Age | 24.9 years | 42.6 years |
| Median Income | $47,410 | $154,471 |
| Married Families | 25.0% | 51.0% |
| Poverty Level | 13% | 4% |
| Unemployment Rate | 6.3 | 3.7 |
Population Comparison: Dekalb vs Flower mound
- The population in Flower mound is higher at 78,486, compared to 40,220 in Dekalb.
- The median age in Flower mound is higher at 42.6 years, compared to 24.9 years in Dekalb.
- Flower mound has a higher median income of $154,471, compared to $47,410 in Dekalb.
- In Flower mound, the percentage of married families is higher at 51.0%, compared to 25.0% in Dekalb.
- Dekalb has a higher poverty level at 13% compared to 4% in Flower mound.
- The unemployment rate in Dekalb is higher at 6.3%, compared to 3.7% in Flower mound.
Demographics
Demographics Dekalb vs Flower mound provide insight into the diversity of the communities to compare.
| Demographic | Dekalb | Flower mound |
|---|---|---|
| Black | 15 | 3 |
| White | 54 | 66 |
| Asian | 5 | 13 |
| Hispanic | 16 | 11 |
| Two or More Races | 9 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Dekalb vs Flower mound
- A higher percentage of Black residents are in Dekalb at 15% compared to 3% in Flower mound.
- The percentage of White residents is higher in Flower mound at 66% compared to 54% in Dekalb.
- In Flower mound, the Asian population stands at 13%, greater than 5% in Dekalb.
- The Hispanic community is larger in Dekalb at 16% compared to 11% in Flower mound.
- More residents identify as two or more races in Dekalb at 9% compared to 7% in Flower mound.
- A greater percentage of American Indian residents live in Dekalb at 1% compared to 0% in Flower mound.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dekalb | Flower mound |
|---|---|---|
| Mental Health Not Good | 16.6% | 13.3% |
| Physical Health Not Good | 11.4% | 7.7% |
| Depression | 21.2% | 21.1% |
| Smoking | 16.6% | 9.5% |
| Binge Drinking | 16.5% | 19.7% |
| Obesity | 39.0% | 28.5% |
| Disability Percentage | 10.0% | 6.0% |
Health Statistics Comparison: Dekalb vs Flower mound
- More residents in Dekalb report poor mental health at 16.6% compared to 13.3% in Flower mound.
- Depression is more prevalent in Dekalb at 21.2% compared to 21.1% in Flower mound.
- Smoking is more prevalent in Dekalb at 16.6% compared to 9.5% in Flower mound.
- More residents engage in binge drinking in Flower mound at 19.7% compared to 16.5% in Dekalb.
- Obesity rates are higher in Dekalb at 39.0% compared to 28.5% in Flower mound.
- Disability percentages are higher in Dekalb at 10.0% compared to 6.0% in Flower mound.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dekalb | Flower mound |
|---|---|---|
| No Schooling | 1.3% (531) | 0.7% (519) |
| High School Diploma | 9.4% (3,786) | 6.2% (4,886) |
| Less than High School | 8.3% (3,334) | 2.7% (2,090) |
| Bachelor's Degree and Higher | 19.5% (7,828) | 42.3% (33,161) |
Education Levels Comparison: Dekalb vs Flower mound
- A higher percentage of residents in Dekalb have no formal schooling at 1.3% compared to 0.7% in Flower mound.
- A higher percentage of residents in Dekalb hold a high school diploma at 9.4% compared to 6.2% in Flower mound.
- More residents in Dekalb have less than a high school education at 8.3% compared to 2.7% in Flower mound.
- In Flower mound, a larger share of residents have a bachelor's degree or higher at 42.3% compared to 19.5% in Dekalb.
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.