Demographics details for Klickitat, WA vs South paris, ME
Population Overview
Compare main population characteristics in Klickitat, WA vs South paris, ME.
| Data | Klickitat | South paris |
|---|---|---|
| Population | 23,271 | 2,208 |
| Median Age | 47.0 years | 39.5 years |
| Median Income | $66,581 | $42,321 |
| Married Families | 45.0% | 30.0% |
| Poverty Level | 8% | 13% |
| Unemployment Rate | 4.7 | 3.5 |
Population Comparison: Klickitat vs South paris
- In Klickitat, the population is higher at 23,271, compared to 2,208 in South paris.
- Residents in Klickitat have a higher median age of 47.0 years compared to 39.5 years in South paris.
- Klickitat has a higher median income of $66,581 compared to $42,321 in South paris.
- A higher percentage of married families is found in Klickitat at 45.0% compared to 30.0% in South paris.
- The poverty level is higher in South paris at 13%, compared to 8% in Klickitat.
- The unemployment rate in Klickitat is higher at 4.7%, compared to 3.5% in South paris.
Demographics
Demographics Klickitat vs South paris provide insight into the diversity of the communities to compare.
| Demographic | Klickitat | South paris |
|---|---|---|
| Black | 1 | Data is updating |
| White | 77 | 97 |
| Asian | 1 | Data is updating |
| Hispanic | 12 | 3 |
| Two or More Races | 8 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Klickitat vs South paris
- A higher percentage of Black residents are in Klickitat at 1% compared to 0% in South paris.
- The percentage of White residents is higher in South paris at 97% compared to 77% in Klickitat.
- The Asian population is larger in Klickitat at 1% compared to 0% in South paris.
- The Hispanic community is larger in Klickitat at 12% compared to 3% in South paris.
- More residents identify as two or more races in Klickitat at 8% compared to 0% in South paris.
- A greater percentage of American Indian residents live in Klickitat at 1% compared to 0% in South paris.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Klickitat | South paris |
|---|---|---|
| Mental Health Not Good | 17.6% | 18.7% |
| Physical Health Not Good | 11.7% | 11.4% |
| Depression | 25.6% | 26.9% |
| Smoking | 15.5% | 20.1% |
| Binge Drinking | 18.7% | 18.1% |
| Obesity | 30.7% | 33.9% |
| Disability Percentage | 15.0% | 22.0% |
Health Statistics Comparison: Klickitat vs South paris
- In South paris, a higher percentage report poor mental health at 18.7% compared to 17.6% in Klickitat.
- Higher depression rates are seen in South paris at 26.9% versus 25.6% in Klickitat.
- South paris has a higher smoking rate at 20.1% compared to 15.5% in Klickitat.
- Binge drinking is more common in Klickitat at 18.7% compared to 18.1% in South paris.
- South paris has higher obesity rates at 33.9% compared to 30.7% in Klickitat.
- There is a higher percentage of disabled individuals in South paris at 22.0% compared to 15.0% in Klickitat.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Klickitat | South paris |
|---|---|---|
| No Schooling | 1.0% (223) | 0.2% (5) |
| High School Diploma | 16.1% (3,753) | 25.2% (557) |
| Less than High School | 15.2% (3,532) | 2.4% (54) |
| Bachelor's Degree and Higher | 22.7% (5,271) | 9.6% (213) |
Education Levels Comparison: Klickitat vs South paris
- A higher percentage of residents in Klickitat have no formal schooling at 1.0% compared to 0.2% in South paris.
- In South paris, the rate of residents with high school diplomas is higher at 25.2% compared to 16.1% in Klickitat.
- More residents in Klickitat have less than a high school education at 15.2% compared to 2.4% in South paris.
- A higher percentage of residents in Klickitat hold a bachelor's degree or higher at 22.7% compared to 9.6% in South paris.
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.