Demographics details for Mcpherson, KS vs Klickitat, WA
Population Overview
Compare main population characteristics in Mcpherson, KS vs Klickitat, WA.
Data | Mcpherson | Klickitat |
---|---|---|
Population | 13,865 | 23,271 |
Median Age | 36.2 years | 47.0 years |
Median Income | $69,807 | $66,581 |
Married Families | 43.0% | 45.0% |
Poverty Level | 9% | 8% |
Unemployment Rate | 3.3 | 4.7 |
Population Comparison: Mcpherson vs Klickitat
- The population in Klickitat is higher at 23,271, compared to 13,865 in Mcpherson.
- The median age in Klickitat is higher at 47.0 years, compared to 36.2 years in Mcpherson.
- Mcpherson has a higher median income of $69,807 compared to $66,581 in Klickitat.
- In Klickitat, the percentage of married families is higher at 45.0%, compared to 43.0% in Mcpherson.
- Mcpherson has a higher poverty level at 9% compared to 8% in Klickitat.
- Klickitat has a higher unemployment rate at 4.7% compared to 3.3% in Mcpherson.
Demographics
Demographics Mcpherson vs Klickitat provide insight into the diversity of the communities to compare.
Demographic | Mcpherson | Klickitat |
---|---|---|
Black | 2 | 1 |
White | 87 | 77 |
Asian | 1 | 1 |
Hispanic | 6 | 12 |
Two or More Races | 4 | 8 |
American Indian | Data is updating | 1 |
Demographics Comparison: Mcpherson vs Klickitat
- A higher percentage of Black residents are in Mcpherson at 2% compared to 1% in Klickitat.
- Mcpherson has a higher percentage of White residents at 87% compared to 77% in Klickitat.
- Both Mcpherson and Klickitat have the same percentage of Asian residents at 1%.
- Klickitat has a higher percentage of Hispanic residents at 12%, compared to 6% in Mcpherson.
- The percentage of residents identifying as two or more races is higher in Klickitat at 8%, compared to 4% in Mcpherson.
- In Klickitat, the percentage of American Indian residents is higher at 1%, compared to 0% in Mcpherson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mcpherson | Klickitat |
---|---|---|
Mental Health Not Good | 15.2% | 17.6% |
Physical Health Not Good | 9.7% | 11.7% |
Depression | 20.1% | 25.6% |
Smoking | 17.6% | 15.5% |
Binge Drinking | 18.2% | 18.7% |
Obesity | 36.6% | 30.7% |
Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Mcpherson vs Klickitat
- In Klickitat, a higher percentage report poor mental health at 17.6% compared to 15.2% in Mcpherson.
- Higher depression rates are seen in Klickitat at 25.6% versus 20.1% in Mcpherson.
- Smoking is more prevalent in Mcpherson at 17.6% compared to 15.5% in Klickitat.
- More residents engage in binge drinking in Klickitat at 18.7% compared to 18.2% in Mcpherson.
- Obesity rates are higher in Mcpherson at 36.6% compared to 30.7% in Klickitat.
- There is a higher percentage of disabled individuals in Klickitat at 15.0% compared to 14.0% in Mcpherson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mcpherson | Klickitat |
---|---|---|
No Schooling | 0.3% (48) | 1.0% (223) |
High School Diploma | 12.8% (1,775) | 16.1% (3,753) |
Less than High School | 5.8% (804) | 15.2% (3,532) |
Bachelor's Degree and Higher | 21.7% (3,010) | 22.7% (5,271) |
Education Levels Comparison: Mcpherson vs Klickitat
- In Klickitat, a larger percentage of residents lack formal schooling at 1.0% compared to 0.3% in Mcpherson.
- In Klickitat, the rate of residents with high school diplomas is higher at 16.1% compared to 12.8% in Mcpherson.
- The percentage of residents with less than a high school education is higher in Klickitat at 15.2%, compared to 5.8% in Mcpherson.
- In Klickitat, a larger share of residents have a bachelor's degree or higher at 22.7% compared to 21.7% in Mcpherson.
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.