Demographics details for Post falls, ID vs Kirkland, WA
Population Overview
Compare main population characteristics in Post falls, ID vs Kirkland, WA.
Data | Post falls | Kirkland |
---|---|---|
Population | 44,194 | 92,151 |
Median Age | 34.5 years | 38.0 years |
Median Income | $71,042 | $135,608 |
Married Families | 35.0% | 45.0% |
Poverty Level | 8% | 7% |
Unemployment Rate | 3.7 | 4.4 |
Population Comparison: Post falls vs Kirkland
- The population in Kirkland is higher at 92,151, compared to 44,194 in Post falls.
- The median age in Kirkland is higher at 38.0 years, compared to 34.5 years in Post falls.
- Kirkland has a higher median income of $135,608, compared to $71,042 in Post falls.
- In Kirkland, the percentage of married families is higher at 45.0%, compared to 35.0% in Post falls.
- Post falls has a higher poverty level at 8% compared to 7% in Kirkland.
- Kirkland has a higher unemployment rate at 4.4% compared to 3.7% in Post falls.
Demographics
Demographics Post falls vs Kirkland provide insight into the diversity of the communities to compare.
Demographic | Post falls | Kirkland |
---|---|---|
Black | Data is updating | 2 |
White | 87 | 64 |
Asian | Data is updating | 17 |
Hispanic | 5 | 8 |
Two or More Races | 7 | 8 |
American Indian | 1 | 1 |
Demographics Comparison: Post falls vs Kirkland
- In Kirkland, the percentage of Black residents is higher at 2% compared to 0% in Post falls.
- Post falls has a higher percentage of White residents at 87% compared to 64% in Kirkland.
- In Kirkland, the Asian population stands at 17%, greater than 0% in Post falls.
- Kirkland has a higher percentage of Hispanic residents at 8%, compared to 5% in Post falls.
- The percentage of residents identifying as two or more races is higher in Kirkland at 8%, compared to 7% in Post falls.
- The percentage of American Indian residents is the same in both Post falls and Kirkland at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Post falls | Kirkland |
---|---|---|
Mental Health Not Good | 16.9% | 14.5% |
Physical Health Not Good | 12.3% | 7.9% |
Depression | 22.9% | 23.9% |
Smoking | 18.6% | 7.8% |
Binge Drinking | 17.6% | 18.5% |
Obesity | 29.8% | 22.7% |
Disability Percentage | 12.0% | 8.0% |
Health Statistics Comparison: Post falls vs Kirkland
- More residents in Post falls report poor mental health at 16.9% compared to 14.5% in Kirkland.
- Higher depression rates are seen in Kirkland at 23.9% versus 22.9% in Post falls.
- Smoking is more prevalent in Post falls at 18.6% compared to 7.8% in Kirkland.
- More residents engage in binge drinking in Kirkland at 18.5% compared to 17.6% in Post falls.
- Obesity rates are higher in Post falls at 29.8% compared to 22.7% in Kirkland.
- Disability percentages are higher in Post falls at 12.0% compared to 8.0% in Kirkland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Post falls | Kirkland |
---|---|---|
No Schooling | 0.3% (121) | 0.7% (602) |
High School Diploma | 14.1% (6,217) | 7.2% (6,680) |
Less than High School | 7.7% (3,421) | 3.9% (3,624) |
Bachelor's Degree and Higher | 13.1% (5,799) | 45.5% (41,904) |
Education Levels Comparison: Post falls vs Kirkland
- In Kirkland, a larger percentage of residents lack formal schooling at 0.7% compared to 0.3% in Post falls.
- A higher percentage of residents in Post falls hold a high school diploma at 14.1% compared to 7.2% in Kirkland.
- More residents in Post falls have less than a high school education at 7.7% compared to 3.9% in Kirkland.
- In Kirkland, a larger share of residents have a bachelor's degree or higher at 45.5% compared to 13.1% in Post falls.
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.