Demographics details for Kent, WA vs Jefferson city, MO
Population Overview
Compare main population characteristics in Kent, WA vs Jefferson city, MO.
| Data | Kent | Jefferson city |
|---|---|---|
| Population | 134,392 | 42,528 |
| Median Age | 34.7 years | 38.5 years |
| Median Income | $86,966 | $63,649 |
| Married Families | 36.0% | 37.0% |
| Poverty Level | 9% | 11% |
| Unemployment Rate | 5.6 | 3.9 |
Population Comparison: Kent vs Jefferson city
- In Kent, the population is higher at 134,392, compared to 42,528 in Jefferson city.
- The median age in Jefferson city is higher at 38.5 years, compared to 34.7 years in Kent.
- Kent has a higher median income of $86,966 compared to $63,649 in Jefferson city.
- In Jefferson city, the percentage of married families is higher at 37.0%, compared to 36.0% in Kent.
- The poverty level is higher in Jefferson city at 11%, compared to 9% in Kent.
- The unemployment rate in Kent is higher at 5.6%, compared to 3.9% in Jefferson city.
Demographics
Demographics Kent vs Jefferson city provide insight into the diversity of the communities to compare.
| Demographic | Kent | Jefferson city |
|---|---|---|
| Black | 13 | 18 |
| White | 37 | 72 |
| Asian | 23 | 3 |
| Hispanic | 16 | 3 |
| Two or More Races | 10 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kent vs Jefferson city
- In Jefferson city, the percentage of Black residents is higher at 18% compared to 13% in Kent.
- The percentage of White residents is higher in Jefferson city at 72% compared to 37% in Kent.
- The Asian population is larger in Kent at 23% compared to 3% in Jefferson city.
- The Hispanic community is larger in Kent at 16% compared to 3% in Jefferson city.
- More residents identify as two or more races in Kent at 10% compared to 4% in Jefferson city.
- A greater percentage of American Indian residents live in Kent at 1% compared to 0% in Jefferson city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kent | Jefferson city |
|---|---|---|
| Mental Health Not Good | 17.9% | 17.1% |
| Physical Health Not Good | 11.4% | 11.6% |
| Depression | 24.8% | 22.6% |
| Smoking | 13.6% | 18.6% |
| Binge Drinking | 16.1% | 16.9% |
| Obesity | 27.2% | 37.4% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Kent vs Jefferson city
- More residents in Kent report poor mental health at 17.9% compared to 17.1% in Jefferson city.
- Depression is more prevalent in Kent at 24.8% compared to 22.6% in Jefferson city.
- Jefferson city has a higher smoking rate at 18.6% compared to 13.6% in Kent.
- More residents engage in binge drinking in Jefferson city at 16.9% compared to 16.1% in Kent.
- Jefferson city has higher obesity rates at 37.4% compared to 27.2% in Kent.
- There is a higher percentage of disabled individuals in Jefferson city at 11.0% compared to 10.0% in Kent.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kent | Jefferson city |
|---|---|---|
| No Schooling | 2.1% (2,872) | 0.5% (233) |
| High School Diploma | 14.6% (19,603) | 15.9% (6,767) |
| Less than High School | 12.9% (17,326) | 11.0% (4,659) |
| Bachelor's Degree and Higher | 18.5% (24,855) | 24.8% (10,543) |
Education Levels Comparison: Kent vs Jefferson city
- A higher percentage of residents in Kent have no formal schooling at 2.1% compared to 0.5% in Jefferson city.
- In Jefferson city, the rate of residents with high school diplomas is higher at 15.9% compared to 14.6% in Kent.
- More residents in Kent have less than a high school education at 12.9% compared to 11.0% in Jefferson city.
- In Jefferson city, a larger share of residents have a bachelor's degree or higher at 24.8% compared to 18.5% in Kent.
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.