Demographics details for Indian head, MD vs Dixon, IL
Population Overview
Compare main population characteristics in Indian head, MD vs Dixon, IL.
| Data | Indian head | Dixon |
|---|---|---|
| Population | 4,025 | 15,177 |
| Median Age | 37.5 years | 41.2 years |
| Median Income | $77,948 | $52,208 |
| Married Families | 24.0% | 30.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Indian head vs Dixon
- The population in Dixon is higher at 15,177, compared to 4,025 in Indian head.
- The median age in Dixon is higher at 41.2 years, compared to 37.5 years in Indian head.
- Indian head has a higher median income of $77,948 compared to $52,208 in Dixon.
- In Dixon, the percentage of married families is higher at 30.0%, compared to 24.0% in Indian head.
- The poverty level is higher in Dixon at 10%, compared to 9% in Indian head.
- Dixon has a higher unemployment rate at 4.5% compared to 3.5% in Indian head.
Demographics
Demographics Indian head vs Dixon provide insight into the diversity of the communities to compare.
| Demographic | Indian head | Dixon |
|---|---|---|
| Black | 62 | 10 |
| White | 26 | 75 |
| Asian | 3 | 1 |
| Hispanic | 5 | 8 |
| Two or More Races | 3 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Indian head vs Dixon
- A higher percentage of Black residents are in Indian head at 62% compared to 10% in Dixon.
- The percentage of White residents is higher in Dixon at 75% compared to 26% in Indian head.
- The Asian population is larger in Indian head at 3% compared to 1% in Dixon.
- Dixon has a higher percentage of Hispanic residents at 8%, compared to 5% in Indian head.
- The percentage of residents identifying as two or more races is higher in Dixon at 6%, compared to 3% in Indian head.
- A greater percentage of American Indian residents live in Indian head at 1% compared to 0% in Dixon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Indian head | Dixon |
|---|---|---|
| Mental Health Not Good | 15.9% | 16.2% |
| Physical Health Not Good | 10.9% | 11.7% |
| Depression | 17.0% | 20.9% |
| Smoking | 16.4% | 18.5% |
| Binge Drinking | 15.1% | 17.9% |
| Obesity | 44.5% | 37.7% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Indian head vs Dixon
- In Dixon, a higher percentage report poor mental health at 16.2% compared to 15.9% in Indian head.
- Higher depression rates are seen in Dixon at 20.9% versus 17.0% in Indian head.
- Dixon has a higher smoking rate at 18.5% compared to 16.4% in Indian head.
- More residents engage in binge drinking in Dixon at 17.9% compared to 15.1% in Indian head.
- Obesity rates are higher in Indian head at 44.5% compared to 37.7% in Dixon.
- There is a higher percentage of disabled individuals in Dixon at 17.0% compared to 14.0% in Indian head.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Indian head | Dixon |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (214) |
| High School Diploma | 27.9% (1,123) | 20.7% (3,148) |
| Less than High School | 4.5% (183) | 18.2% (2,767) |
| Bachelor's Degree and Higher | 10.9% (437) | 14.0% (2,122) |
Education Levels Comparison: Indian head vs Dixon
- In Dixon, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Indian head.
- A higher percentage of residents in Indian head hold a high school diploma at 27.9% compared to 20.7% in Dixon.
- The percentage of residents with less than a high school education is higher in Dixon at 18.2%, compared to 4.5% in Indian head.
- In Dixon, a larger share of residents have a bachelor's degree or higher at 14.0% compared to 10.9% in Indian head.
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.