Demographics details for Pasco, WA vs Mountain pine, AR
Population Overview
Compare main population characteristics in Pasco, WA vs Mountain pine, AR.
| Data | Pasco | Mountain pine |
|---|---|---|
| Population | 79,315 | 577 |
| Median Age | 30.1 years | 44.2 years |
| Median Income | $75,316 | $28,542 |
| Married Families | 34.0% | 28.0% |
| Poverty Level | 10% | 20% |
| Unemployment Rate | 5.3 | 4.5 |
Population Comparison: Pasco vs Mountain pine
- In Pasco, the population is higher at 79,315, compared to 577 in Mountain pine.
- The median age in Mountain pine is higher at 44.2 years, compared to 30.1 years in Pasco.
- Pasco has a higher median income of $75,316 compared to $28,542 in Mountain pine.
- A higher percentage of married families is found in Pasco at 34.0% compared to 28.0% in Mountain pine.
- The poverty level is higher in Mountain pine at 20%, compared to 10% in Pasco.
- The unemployment rate in Pasco is higher at 5.3%, compared to 4.5% in Mountain pine.
Demographics
Demographics Pasco vs Mountain pine provide insight into the diversity of the communities to compare.
| Demographic | Pasco | Mountain pine |
|---|---|---|
| Black | 2 | 8 |
| White | 23 | 85 |
| Asian | 2 | Data is updating |
| Hispanic | 54 | 2 |
| Two or More Races | 17 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Pasco vs Mountain pine
- In Mountain pine, the percentage of Black residents is higher at 8% compared to 2% in Pasco.
- The percentage of White residents is higher in Mountain pine at 85% compared to 23% in Pasco.
- The Asian population is larger in Pasco at 2% compared to 0% in Mountain pine.
- The Hispanic community is larger in Pasco at 54% compared to 2% in Mountain pine.
- More residents identify as two or more races in Pasco at 17% compared to 5% in Mountain pine.
- A greater percentage of American Indian residents live in Pasco at 2% compared to 0% in Mountain pine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pasco | Mountain pine |
|---|---|---|
| Mental Health Not Good | 17.6% | 20.8% |
| Physical Health Not Good | 13.8% | 14.8% |
| Depression | 24.9% | 26.8% |
| Smoking | 15.8% | 24.8% |
| Binge Drinking | 15.9% | 14.8% |
| Obesity | 36.8% | 39.5% |
| Disability Percentage | 12.0% | 23.0% |
Health Statistics Comparison: Pasco vs Mountain pine
- In Mountain pine, a higher percentage report poor mental health at 20.8% compared to 17.6% in Pasco.
- Higher depression rates are seen in Mountain pine at 26.8% versus 24.9% in Pasco.
- Mountain pine has a higher smoking rate at 24.8% compared to 15.8% in Pasco.
- Binge drinking is more common in Pasco at 15.9% compared to 14.8% in Mountain pine.
- Mountain pine has higher obesity rates at 39.5% compared to 36.8% in Pasco.
- There is a higher percentage of disabled individuals in Mountain pine at 23.0% compared to 12.0% in Pasco.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pasco | Mountain pine |
|---|---|---|
| No Schooling | 3.5% (2,742) | 0.0% (Data is updating) |
| High School Diploma | 10.8% (8,575) | 30.8% (178) |
| Less than High School | 26.4% (20,937) | 9.4% (54) |
| Bachelor's Degree and Higher | 11.0% (8,686) | 2.9% (17) |
Education Levels Comparison: Pasco vs Mountain pine
- A higher percentage of residents in Pasco have no formal schooling at 3.5% compared to 0.0% in Mountain pine.
- In Mountain pine, the rate of residents with high school diplomas is higher at 30.8% compared to 10.8% in Pasco.
- More residents in Pasco have less than a high school education at 26.4% compared to 9.4% in Mountain pine.
- A higher percentage of residents in Pasco hold a bachelor's degree or higher at 11.0% compared to 2.9% in Mountain pine.
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.