Demographics details for Lewis, NY vs Klickitat, WA
Population Overview
Compare main population characteristics in Lewis, NY vs Klickitat, WA.
| Data | Lewis | Klickitat |
|---|---|---|
| Population | 26,699 | 23,271 |
| Median Age | 42.0 years | 47.0 years |
| Median Income | $64,401 | $66,581 |
| Married Families | 44.0% | 45.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 3.5 | 4.7 |
Population Comparison: Lewis vs Klickitat
- In Lewis, the population is higher at 26,699, compared to 23,271 in Klickitat.
- The median age in Klickitat is higher at 47.0 years, compared to 42.0 years in Lewis.
- Klickitat has a higher median income of $66,581, compared to $64,401 in Lewis.
- In Klickitat, the percentage of married families is higher at 45.0%, compared to 44.0% in Lewis.
- Lewis has a higher poverty level at 12% compared to 8% in Klickitat.
- Klickitat has a higher unemployment rate at 4.7% compared to 3.5% in Lewis.
Demographics
Demographics Lewis vs Klickitat provide insight into the diversity of the communities to compare.
| Demographic | Lewis | Klickitat |
|---|---|---|
| Black | 1 | 1 |
| White | 94 | 77 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 12 |
| Two or More Races | 3 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lewis vs Klickitat
- The percentage of Black residents is the same in both Lewis and Klickitat at 1%.
- Lewis has a higher percentage of White residents at 94% compared to 77% in Klickitat.
- In Klickitat, the Asian population stands at 1%, greater than 0% in Lewis.
- Klickitat has a higher percentage of Hispanic residents at 12%, compared to 2% in Lewis.
- The percentage of residents identifying as two or more races is higher in Klickitat at 8%, compared to 3% in Lewis.
- In Klickitat, the percentage of American Indian residents is higher at 1%, compared to 0% in Lewis.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lewis | Klickitat |
|---|---|---|
| Mental Health Not Good | 16.0% | 17.6% |
| Physical Health Not Good | 11.3% | 11.7% |
| Depression | 22.7% | 25.6% |
| Smoking | 19.1% | 15.5% |
| Binge Drinking | 19.1% | 18.7% |
| Obesity | 43.0% | 30.7% |
| Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Lewis vs Klickitat
- In Klickitat, a higher percentage report poor mental health at 17.6% compared to 16.0% in Lewis.
- Higher depression rates are seen in Klickitat at 25.6% versus 22.7% in Lewis.
- Smoking is more prevalent in Lewis at 19.1% compared to 15.5% in Klickitat.
- Binge drinking is more common in Lewis at 19.1% compared to 18.7% in Klickitat.
- Obesity rates are higher in Lewis at 43.0% compared to 30.7% in Klickitat.
- There is a higher percentage of disabled individuals in Klickitat at 15.0% compared to 14.0% in Lewis.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lewis | Klickitat |
|---|---|---|
| No Schooling | 0.8% (209) | 1.0% (223) |
| High School Diploma | 26.5% (7,082) | 16.1% (3,753) |
| Less than High School | 11.8% (3,156) | 15.2% (3,532) |
| Bachelor's Degree and Higher | 13.3% (3,550) | 22.7% (5,271) |
Education Levels Comparison: Lewis vs Klickitat
- In Klickitat, a larger percentage of residents lack formal schooling at 1.0% compared to 0.8% in Lewis.
- A higher percentage of residents in Lewis hold a high school diploma at 26.5% compared to 16.1% in Klickitat.
- The percentage of residents with less than a high school education is higher in Klickitat at 15.2%, compared to 11.8% in Lewis.
- In Klickitat, a larger share of residents have a bachelor's degree or higher at 22.7% compared to 13.3% in Lewis.
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.