Demographics details for Overland park, KS vs Madison, MS
Population Overview
Compare main population characteristics in Overland park, KS vs Madison, MS.
| Data | Overland park | Madison |
|---|---|---|
| Population | 197,726 | 27,775 |
| Median Age | 38.4 years | 40.6 years |
| Median Income | $100,876 | $124,575 |
| Married Families | 44.0% | 51.0% |
| Poverty Level | 6% | 5% |
| Unemployment Rate | 3.3 | 2.3 |
Population Comparison: Overland park vs Madison
- In Overland park, the population is higher at 197,726, compared to 27,775 in Madison.
- The median age in Madison is higher at 40.6 years, compared to 38.4 years in Overland park.
- Madison has a higher median income of $124,575, compared to $100,876 in Overland park.
- In Madison, the percentage of married families is higher at 51.0%, compared to 44.0% in Overland park.
- Overland park has a higher poverty level at 6% compared to 5% in Madison.
- The unemployment rate in Overland park is higher at 3.3%, compared to 2.3% in Madison.
Demographics
Demographics Overland park vs Madison provide insight into the diversity of the communities to compare.
| Demographic | Overland park | Madison |
|---|---|---|
| Black | 5 | 13 |
| White | 74 | 78 |
| Asian | 9 | 6 |
| Hispanic | 7 | 1 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Overland park vs Madison
- In Madison, the percentage of Black residents is higher at 13% compared to 5% in Overland park.
- The percentage of White residents is higher in Madison at 78% compared to 74% in Overland park.
- The Asian population is larger in Overland park at 9% compared to 6% in Madison.
- The Hispanic community is larger in Overland park at 7% compared to 1% in Madison.
- More residents identify as two or more races in Overland park at 5% compared to 2% in Madison.
- The percentage of American Indian residents is the same in both Overland park and Madison at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Overland park | Madison |
|---|---|---|
| Mental Health Not Good | 12.2% | 12.2% |
| Physical Health Not Good | 6.9% | 7.1% |
| Depression | 18.3% | 19.3% |
| Smoking | 9.6% | 8.9% |
| Binge Drinking | 19.7% | 17.7% |
| Obesity | 28.6% | 29.7% |
| Disability Percentage | 8.0% | 7.0% |
Health Statistics Comparison: Overland park vs Madison
- Poor mental health levels are equal in both Overland park and Madison at 12.2%.
- Higher depression rates are seen in Madison at 19.3% versus 18.3% in Overland park.
- Smoking is more prevalent in Overland park at 9.6% compared to 8.9% in Madison.
- Binge drinking is more common in Overland park at 19.7% compared to 17.7% in Madison.
- Madison has higher obesity rates at 29.7% compared to 28.6% in Overland park.
- Disability percentages are higher in Overland park at 8.0% compared to 7.0% in Madison.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Overland park | Madison |
|---|---|---|
| No Schooling | 0.5% (897) | 0.1% (17) |
| High School Diploma | 7.1% (13,953) | 5.3% (1,471) |
| Less than High School | 3.3% (6,590) | 2.6% (723) |
| Bachelor's Degree and Higher | 43.1% (85,152) | 43.7% (12,135) |
Education Levels Comparison: Overland park vs Madison
- A higher percentage of residents in Overland park have no formal schooling at 0.5% compared to 0.1% in Madison.
- A higher percentage of residents in Overland park hold a high school diploma at 7.1% compared to 5.3% in Madison.
- More residents in Overland park have less than a high school education at 3.3% compared to 2.6% in Madison.
- In Madison, a larger share of residents have a bachelor's degree or higher at 43.7% compared to 43.1% in Overland park.
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.