Demographics details for Olathe, KS vs Mountain home, AR
Population Overview
Compare main population characteristics in Olathe, KS vs Mountain home, AR.
| Data | Olathe | Mountain home |
|---|---|---|
| Population | 145,616 | 13,150 |
| Median Age | 36.3 years | 41.8 years |
| Median Income | $108,077 | $42,281 |
| Married Families | 44.0% | 38.0% |
| Poverty Level | 7% | 14% |
| Unemployment Rate | 3.1 | 3.5 |
Population Comparison: Olathe vs Mountain home
- In Olathe, the population is higher at 145,616, compared to 13,150 in Mountain home.
- The median age in Mountain home is higher at 41.8 years, compared to 36.3 years in Olathe.
- Olathe has a higher median income of $108,077 compared to $42,281 in Mountain home.
- A higher percentage of married families is found in Olathe at 44.0% compared to 38.0% in Mountain home.
- The poverty level is higher in Mountain home at 14%, compared to 7% in Olathe.
- Mountain home has a higher unemployment rate at 3.5% compared to 3.1% in Olathe.
Demographics
Demographics Olathe vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Olathe | Mountain home |
|---|---|---|
| Black | 5 | Data is updating |
| White | 73 | 90 |
| Asian | 4 | 1 |
| Hispanic | 11 | 4 |
| Two or More Races | 7 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Olathe vs Mountain home
- A higher percentage of Black residents are in Olathe at 5% compared to 0% in Mountain home.
- The percentage of White residents is higher in Mountain home at 90% compared to 73% in Olathe.
- The Asian population is larger in Olathe at 4% compared to 1% in Mountain home.
- The Hispanic community is larger in Olathe at 11% compared to 4% in Mountain home.
- More residents identify as two or more races in Olathe at 7% compared to 4% in Mountain home.
- In Mountain home, the percentage of American Indian residents is higher at 1%, compared to 0% in Olathe.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Olathe | Mountain home |
|---|---|---|
| Mental Health Not Good | 13.2% | 19.2% |
| Physical Health Not Good | 7.9% | 12.9% |
| Depression | 19.1% | 28.5% |
| Smoking | 11.6% | 21.1% |
| Binge Drinking | 19.7% | 16.3% |
| Obesity | 30.4% | 34.3% |
| Disability Percentage | 8.0% | 22.0% |
Health Statistics Comparison: Olathe vs Mountain home
- In Mountain home, a higher percentage report poor mental health at 19.2% compared to 13.2% in Olathe.
- Higher depression rates are seen in Mountain home at 28.5% versus 19.1% in Olathe.
- Mountain home has a higher smoking rate at 21.1% compared to 11.6% in Olathe.
- Binge drinking is more common in Olathe at 19.7% compared to 16.3% in Mountain home.
- Mountain home has higher obesity rates at 34.3% compared to 30.4% in Olathe.
- There is a higher percentage of disabled individuals in Mountain home at 22.0% 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 | Olathe | Mountain home |
|---|---|---|
| No Schooling | 0.4% (512) | 0.7% (87) |
| High School Diploma | 9.0% (13,163) | 16.9% (2,225) |
| Less than High School | 6.3% (9,124) | 14.2% (1,870) |
| Bachelor's Degree and Higher | 32.3% (47,003) | 15.0% (1,973) |
Education Levels Comparison: Olathe vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 0.7% compared to 0.4% in Olathe.
- In Mountain home, the rate of residents with high school diplomas is higher at 16.9% compared to 9.0% in Olathe.
- The percentage of residents with less than a high school education is higher in Mountain home at 14.2%, compared to 6.3% in Olathe.
- A higher percentage of residents in Olathe hold a bachelor's degree or higher at 32.3% compared to 15.0% in Mountain home.
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.