Demographics details for Danville, IL vs Blue springs, MO
Population Overview
Compare main population characteristics in Danville, IL vs Blue springs, MO.
Data | Danville | Blue springs |
---|---|---|
Population | 28,472 | 59,518 |
Median Age | 38.6 years | 36.6 years |
Median Income | $42,424 | $82,965 |
Married Families | 25.0% | 42.0% |
Poverty Level | 20% | 9% |
Unemployment Rate | 8.6 | 3.7 |
Population Comparison: Danville vs Blue springs
- The population in Blue springs is higher at 59,518, compared to 28,472 in Danville.
- Residents in Danville have a higher median age of 38.6 years compared to 36.6 years in Blue springs.
- Blue springs has a higher median income of $82,965, compared to $42,424 in Danville.
- In Blue springs, the percentage of married families is higher at 42.0%, compared to 25.0% in Danville.
- Danville has a higher poverty level at 20% compared to 9% in Blue springs.
- The unemployment rate in Danville is higher at 8.6%, compared to 3.7% in Blue springs.
Demographics
Demographics Danville vs Blue springs provide insight into the diversity of the communities to compare.
Demographic | Danville | Blue springs |
---|---|---|
Black | 34 | 7 |
White | 52 | 79 |
Asian | 1 | 1 |
Hispanic | 8 | 7 |
Two or More Races | 5 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Danville vs Blue springs
- A higher percentage of Black residents are in Danville at 34% compared to 7% in Blue springs.
- The percentage of White residents is higher in Blue springs at 79% compared to 52% in Danville.
- Both Danville and Blue springs have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Danville at 8% compared to 7% in Blue springs.
- The percentage of residents identifying as two or more races is higher in Blue springs at 6%, compared to 5% in Danville.
- The percentage of American Indian residents is the same in both Danville and Blue springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Danville | Blue springs |
---|---|---|
Mental Health Not Good | 18.9% | 17.3% |
Physical Health Not Good | 14.5% | 10.4% |
Depression | 21.2% | 22.8% |
Smoking | 23.9% | 15.6% |
Binge Drinking | 14.9% | 21.5% |
Obesity | 41.4% | 34.7% |
Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Danville vs Blue springs
- More residents in Danville report poor mental health at 18.9% compared to 17.3% in Blue springs.
- Higher depression rates are seen in Blue springs at 22.8% versus 21.2% in Danville.
- Smoking is more prevalent in Danville at 23.9% compared to 15.6% in Blue springs.
- More residents engage in binge drinking in Blue springs at 21.5% compared to 14.9% in Danville.
- Obesity rates are higher in Danville at 41.4% compared to 34.7% in Blue springs.
- Disability percentages are higher in Danville at 17.0% compared to 10.0% in Blue springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Danville | Blue springs |
---|---|---|
No Schooling | 0.9% (270) | 0.3% (178) |
High School Diploma | 20.6% (5,853) | 16.5% (9,835) |
Less than High School | 13.1% (3,727) | 4.9% (2,932) |
Bachelor's Degree and Higher | 11.7% (3,344) | 21.8% (12,992) |
Education Levels Comparison: Danville vs Blue springs
- A higher percentage of residents in Danville have no formal schooling at 0.9% compared to 0.3% in Blue springs.
- A higher percentage of residents in Danville hold a high school diploma at 20.6% compared to 16.5% in Blue springs.
- More residents in Danville have less than a high school education at 13.1% compared to 4.9% in Blue springs.
- In Blue springs, a larger share of residents have a bachelor's degree or higher at 21.8% compared to 11.7% in Danville.
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.