Demographics details for Yakima, WA vs Mountain home, AR
Population Overview
Compare main population characteristics in Yakima, WA vs Mountain home, AR.
| Data | Yakima | Mountain home |
|---|---|---|
| Population | 97,012 | 13,150 |
| Median Age | 33.9 years | 41.8 years |
| Median Income | $55,734 | $42,281 |
| Married Families | 33.0% | 38.0% |
| Poverty Level | 16% | 14% |
| Unemployment Rate | 5.4 | 3.5 |
Population Comparison: Yakima vs Mountain home
- In Yakima, the population is higher at 97,012, compared to 13,150 in Mountain home.
- The median age in Mountain home is higher at 41.8 years, compared to 33.9 years in Yakima.
- Yakima has a higher median income of $55,734 compared to $42,281 in Mountain home.
- In Mountain home, the percentage of married families is higher at 38.0%, compared to 33.0% in Yakima.
- Yakima has a higher poverty level at 16% compared to 14% in Mountain home.
- The unemployment rate in Yakima is higher at 5.4%, compared to 3.5% in Mountain home.
Demographics
Demographics Yakima vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Yakima | Mountain home |
|---|---|---|
| Black | 1 | Data is updating |
| White | 34 | 90 |
| Asian | 1 | 1 |
| Hispanic | 47 | 4 |
| Two or More Races | 16 | 4 |
| American Indian | 1 | 1 |
Demographics Comparison: Yakima vs Mountain home
- A higher percentage of Black residents are in Yakima at 1% compared to 0% in Mountain home.
- The percentage of White residents is higher in Mountain home at 90% compared to 34% in Yakima.
- Both Yakima and Mountain home have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Yakima at 47% compared to 4% in Mountain home.
- More residents identify as two or more races in Yakima at 16% compared to 4% in Mountain home.
- The percentage of American Indian residents is the same in both Yakima and Mountain home at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Yakima | Mountain home |
|---|---|---|
| Mental Health Not Good | 18.5% | 19.2% |
| Physical Health Not Good | 14.7% | 12.9% |
| Depression | 23.6% | 28.5% |
| Smoking | 17.4% | 21.1% |
| Binge Drinking | 15.4% | 16.3% |
| Obesity | 39.7% | 34.3% |
| Disability Percentage | 16.0% | 22.0% |
Health Statistics Comparison: Yakima vs Mountain home
- In Mountain home, a higher percentage report poor mental health at 19.2% compared to 18.5% in Yakima.
- Higher depression rates are seen in Mountain home at 28.5% versus 23.6% in Yakima.
- Mountain home has a higher smoking rate at 21.1% compared to 17.4% in Yakima.
- More residents engage in binge drinking in Mountain home at 16.3% compared to 15.4% in Yakima.
- Obesity rates are higher in Yakima at 39.7% compared to 34.3% in Mountain home.
- There is a higher percentage of disabled individuals in Mountain home at 22.0% compared to 16.0% in Yakima.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Yakima | Mountain home |
|---|---|---|
| No Schooling | 1.8% (1,748) | 0.7% (87) |
| High School Diploma | 13.4% (12,983) | 16.9% (2,225) |
| Less than High School | 27.9% (27,106) | 14.2% (1,870) |
| Bachelor's Degree and Higher | 12.1% (11,743) | 15.0% (1,973) |
Education Levels Comparison: Yakima vs Mountain home
- A higher percentage of residents in Yakima have no formal schooling at 1.8% compared to 0.7% in Mountain home.
- In Mountain home, the rate of residents with high school diplomas is higher at 16.9% compared to 13.4% in Yakima.
- More residents in Yakima have less than a high school education at 27.9% compared to 14.2% in Mountain home.
- In Mountain home, a larger share of residents have a bachelor's degree or higher at 15.0% compared to 12.1% in Yakima.
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.