Demographics details for Kirkland, WA vs Dighton, MA
Population Overview
Compare main population characteristics in Kirkland, WA vs Dighton, MA.
| Data | Kirkland | Dighton |
|---|---|---|
| Population | 92,151 | 7,891 |
| Median Age | 38.0 years | 42.0 years |
| Median Income | $135,608 | $77,750 |
| Married Families | 45.0% | 64.0% |
| Poverty Level | 7% | 5% |
| Unemployment Rate | 4.4 | 3.5 |
Population Comparison: Kirkland vs Dighton
- In Kirkland, the population is higher at 92,151, compared to 7,891 in Dighton.
- The median age in Dighton is higher at 42.0 years, compared to 38.0 years in Kirkland.
- Kirkland has a higher median income of $135,608 compared to $77,750 in Dighton.
- In Dighton, the percentage of married families is higher at 64.0%, compared to 45.0% in Kirkland.
- Kirkland has a higher poverty level at 7% compared to 5% in Dighton.
- The unemployment rate in Kirkland is higher at 4.4%, compared to 3.5% in Dighton.
Demographics
Demographics Kirkland vs Dighton provide insight into the diversity of the communities to compare.
| Demographic | Kirkland | Dighton |
|---|---|---|
| Black | 2 | Data is updating |
| White | 64 | 96 |
| Asian | 17 | 1 |
| Hispanic | 8 | 2 |
| Two or More Races | 8 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kirkland vs Dighton
- A higher percentage of Black residents are in Kirkland at 2% compared to 0% in Dighton.
- The percentage of White residents is higher in Dighton at 96% compared to 64% in Kirkland.
- The Asian population is larger in Kirkland at 17% compared to 1% in Dighton.
- The Hispanic community is larger in Kirkland at 8% compared to 2% in Dighton.
- More residents identify as two or more races in Kirkland at 8% compared to 1% in Dighton.
- A greater percentage of American Indian residents live in Kirkland at 1% compared to 0% in Dighton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kirkland | Dighton |
|---|---|---|
| Mental Health Not Good | 14.5% | Data is updating% |
| Physical Health Not Good | 7.9% | Data is updating% |
| Depression | 23.9% | Data is updating% |
| Smoking | 7.8% | Data is updating% |
| Binge Drinking | 18.5% | Data is updating% |
| Obesity | 22.7% | Data is updating% |
| Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Kirkland vs Dighton
- More residents in Kirkland report poor mental health at 14.5% compared to 0.0% in Dighton.
- Depression is more prevalent in Kirkland at 23.9% compared to 0.0% in Dighton.
- Smoking is more prevalent in Kirkland at 7.8% compared to 0.0% in Dighton.
- Binge drinking is more common in Kirkland at 18.5% compared to 0.0% in Dighton.
- Obesity rates are higher in Kirkland at 22.7% compared to 0.0% in Dighton.
- Disability percentages are higher in Kirkland at 8.0% compared to 0.0% in Dighton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kirkland | Dighton |
|---|---|---|
| No Schooling | 0.7% (602) | 0.0% (Data is updating) |
| High School Diploma | 7.2% (6,680) | 0.0% (Data is updating) |
| Less than High School | 3.9% (3,624) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 45.5% (41,904) | 0.0% (Data is updating) |
Education Levels Comparison: Kirkland vs Dighton
- A higher percentage of residents in Kirkland have no formal schooling at 0.7% compared to 0.0% in Dighton.
- A higher percentage of residents in Kirkland hold a high school diploma at 7.2% compared to 0.0% in Dighton.
- More residents in Kirkland have less than a high school education at 3.9% compared to 0.0% in Dighton.
- A higher percentage of residents in Kirkland hold a bachelor's degree or higher at 45.5% compared to 0.0% in Dighton.
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.