Demographics details for Danville, IL vs Prairie village, KS
Population Overview
Compare main population characteristics in Danville, IL vs Prairie village, KS.
Data | Danville | Prairie village |
---|---|---|
Population | 28,472 | 22,947 |
Median Age | 38.6 years | 40.0 years |
Median Income | $42,424 | $99,691 |
Married Families | 25.0% | 46.0% |
Poverty Level | 20% | 5% |
Unemployment Rate | 8.6 | 2.5 |
Population Comparison: Danville vs Prairie village
- In Danville, the population is higher at 28,472, compared to 22,947 in Prairie village.
- The median age in Prairie village is higher at 40.0 years, compared to 38.6 years in Danville.
- Prairie village has a higher median income of $99,691, compared to $42,424 in Danville.
- In Prairie village, the percentage of married families is higher at 46.0%, compared to 25.0% in Danville.
- Danville has a higher poverty level at 20% compared to 5% in Prairie village.
- The unemployment rate in Danville is higher at 8.6%, compared to 2.5% in Prairie village.
Demographics
Demographics Danville vs Prairie village provide insight into the diversity of the communities to compare.
Demographic | Danville | Prairie village |
---|---|---|
Black | 34 | 1 |
White | 52 | 88 |
Asian | 1 | 1 |
Hispanic | 8 | 5 |
Two or More Races | 5 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Danville vs Prairie village
- A higher percentage of Black residents are in Danville at 34% compared to 1% in Prairie village.
- The percentage of White residents is higher in Prairie village at 88% compared to 52% in Danville.
- Both Danville and Prairie village have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Danville at 8% compared to 5% in Prairie village.
- Both Danville and Prairie village have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Danville and Prairie village at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Danville | Prairie village |
---|---|---|
Mental Health Not Good | 18.9% | 11.5% |
Physical Health Not Good | 14.5% | 6.0% |
Depression | 21.2% | 18.6% |
Smoking | 23.9% | 7.8% |
Binge Drinking | 14.9% | 20.8% |
Obesity | 41.4% | 27.3% |
Disability Percentage | 17.0% | 8.0% |
Health Statistics Comparison: Danville vs Prairie village
- More residents in Danville report poor mental health at 18.9% compared to 11.5% in Prairie village.
- Depression is more prevalent in Danville at 21.2% compared to 18.6% in Prairie village.
- Smoking is more prevalent in Danville at 23.9% compared to 7.8% in Prairie village.
- More residents engage in binge drinking in Prairie village at 20.8% compared to 14.9% in Danville.
- Obesity rates are higher in Danville at 41.4% compared to 27.3% in Prairie village.
- Disability percentages are higher in Danville at 17.0% compared to 8.0% in Prairie village.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Danville | Prairie village |
---|---|---|
No Schooling | 0.9% (270) | 0.2% (47) |
High School Diploma | 20.6% (5,853) | 5.0% (1,136) |
Less than High School | 13.1% (3,727) | 2.2% (515) |
Bachelor's Degree and Higher | 11.7% (3,344) | 51.7% (11,869) |
Education Levels Comparison: Danville vs Prairie village
- A higher percentage of residents in Danville have no formal schooling at 0.9% compared to 0.2% in Prairie village.
- A higher percentage of residents in Danville hold a high school diploma at 20.6% compared to 5.0% in Prairie village.
- More residents in Danville have less than a high school education at 13.1% compared to 2.2% in Prairie village.
- In Prairie village, a larger share of residents have a bachelor's degree or higher at 51.7% 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.