Demographics details for Water valley, MS vs Olathe, KS
Population Overview
Compare main population characteristics in Water valley, MS vs Olathe, KS.
| Data | Water valley | Olathe |
|---|---|---|
| Population | 3,361 | 145,616 |
| Median Age | 35.8 years | 36.3 years |
| Median Income | $45,718 | $108,077 |
| Married Families | 27.0% | 44.0% |
| Poverty Level | Data is updating | 7% |
| Unemployment Rate | 4.3 | 3.1 |
Population Comparison: Water valley vs Olathe
- The population in Olathe is higher at 145,616, compared to 3,361 in Water valley.
- The median age in Olathe is higher at 36.3 years, compared to 35.8 years in Water valley.
- Olathe has a higher median income of $108,077, compared to $45,718 in Water valley.
- In Olathe, the percentage of married families is higher at 44.0%, compared to 27.0% in Water valley.
- The poverty level is higher in Olathe at 7%, compared to 0% in Water valley.
- The unemployment rate in Water valley is higher at 4.3%, compared to 3.1% in Olathe.
Demographics
Demographics Water valley vs Olathe provide insight into the diversity of the communities to compare.
| Demographic | Water valley | Olathe |
|---|---|---|
| Black | 49 | 5 |
| White | 49 | 73 |
| Asian | Data is updating | 4 |
| Hispanic | 2 | 11 |
| Two or More Races | Data is updating | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Water valley vs Olathe
- A higher percentage of Black residents are in Water valley at 49% compared to 5% in Olathe.
- The percentage of White residents is higher in Olathe at 73% compared to 49% in Water valley.
- In Olathe, the Asian population stands at 4%, greater than 0% in Water valley.
- Olathe has a higher percentage of Hispanic residents at 11%, compared to 2% in Water valley.
- The percentage of residents identifying as two or more races is higher in Olathe at 7%, compared to 0% in Water valley.
- The percentage of American Indian residents is the same in both Water valley and Olathe at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Water valley | Olathe |
|---|---|---|
| Mental Health Not Good | 18.2% | 13.2% |
| Physical Health Not Good | 13.8% | 7.9% |
| Depression | 22.0% | 19.1% |
| Smoking | 23.1% | 11.6% |
| Binge Drinking | 12.9% | 19.7% |
| Obesity | 44.0% | 30.4% |
| Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Water valley vs Olathe
- More residents in Water valley report poor mental health at 18.2% compared to 13.2% in Olathe.
- Depression is more prevalent in Water valley at 22.0% compared to 19.1% in Olathe.
- Smoking is more prevalent in Water valley at 23.1% compared to 11.6% in Olathe.
- More residents engage in binge drinking in Olathe at 19.7% compared to 12.9% in Water valley.
- Obesity rates are higher in Water valley at 44.0% compared to 30.4% in Olathe.
- Disability percentages are higher in Water valley at 14.0% compared to 8.0% in Olathe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Water valley | Olathe |
|---|---|---|
| No Schooling | 1.0% (34) | 0.4% (512) |
| High School Diploma | 24.0% (805) | 9.0% (13,163) |
| Less than High School | 13.0% (437) | 6.3% (9,124) |
| Bachelor's Degree and Higher | 9.6% (322) | 32.3% (47,003) |
Education Levels Comparison: Water valley vs Olathe
- A higher percentage of residents in Water valley have no formal schooling at 1.0% compared to 0.4% in Olathe.
- A higher percentage of residents in Water valley hold a high school diploma at 24.0% compared to 9.0% in Olathe.
- More residents in Water valley have less than a high school education at 13.0% compared to 6.3% in Olathe.
- In Olathe, a larger share of residents have a bachelor's degree or higher at 32.3% compared to 9.6% in Water valley.
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.