Demographics details for Gray, ME vs Klickitat, WA
Population Overview
Compare main population characteristics in Gray, ME vs Klickitat, WA.
| Data | Gray | Klickitat |
|---|---|---|
| Population | 7,761 | 23,271 |
| Median Age | 43.0 years | 47.0 years |
| Median Income | $81,712 | $66,581 |
| Married Families | 60.0% | 45.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 2.1 | 4.7 |
Population Comparison: Gray vs Klickitat
- The population in Klickitat is higher at 23,271, compared to 7,761 in Gray.
- The median age in Klickitat is higher at 47.0 years, compared to 43.0 years in Gray.
- Gray has a higher median income of $81,712 compared to $66,581 in Klickitat.
- A higher percentage of married families is found in Gray at 60.0% compared to 45.0% in Klickitat.
- The poverty level is higher in Klickitat at 8%, compared to 5% in Gray.
- Klickitat has a higher unemployment rate at 4.7% compared to 2.1% in Gray.
Demographics
Demographics Gray vs Klickitat provide insight into the diversity of the communities to compare.
| Demographic | Gray | Klickitat |
|---|---|---|
| Black | 1 | 1 |
| White | 95 | 77 |
| Asian | 1 | 1 |
| Hispanic | 3 | 12 |
| Two or More Races | 2 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Gray vs Klickitat
- The percentage of Black residents is the same in both Gray and Klickitat at 1%.
- Gray has a higher percentage of White residents at 95% compared to 77% in Klickitat.
- Both Gray and Klickitat have the same percentage of Asian residents at 1%.
- Klickitat has a higher percentage of Hispanic residents at 12%, compared to 3% in Gray.
- The percentage of residents identifying as two or more races is higher in Klickitat at 8%, compared to 2% in Gray.
- In Klickitat, the percentage of American Indian residents is higher at 1%, compared to 0% in Gray.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gray | Klickitat |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.6% |
| Physical Health Not Good | Data is updating% | 11.7% |
| Depression | Data is updating% | 25.6% |
| Smoking | Data is updating% | 15.5% |
| Binge Drinking | Data is updating% | 18.7% |
| Obesity | Data is updating% | 30.7% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Gray vs Klickitat
- In Klickitat, a higher percentage report poor mental health at 17.6% compared to 0.0% in Gray.
- Higher depression rates are seen in Klickitat at 25.6% versus 0.0% in Gray.
- Klickitat has a higher smoking rate at 15.5% compared to 0.0% in Gray.
- More residents engage in binge drinking in Klickitat at 18.7% compared to 0.0% in Gray.
- Klickitat has higher obesity rates at 30.7% compared to 0.0% in Gray.
- There is a higher percentage of disabled individuals in Klickitat at 15.0% compared to 0.0% in Gray.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gray | Klickitat |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (223) |
| High School Diploma | 0.0% (Data is updating) | 16.1% (3,753) |
| Less than High School | 0.0% (Data is updating) | 15.2% (3,532) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 22.7% (5,271) |
Education Levels Comparison: Gray vs Klickitat
- In Klickitat, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Gray.
- In Klickitat, the rate of residents with high school diplomas is higher at 16.1% compared to 0.0% in Gray.
- The percentage of residents with less than a high school education is higher in Klickitat at 15.2%, compared to 0.0% in Gray.
- In Klickitat, a larger share of residents have a bachelor's degree or higher at 22.7% compared to 0.0% in Gray.
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.