Demographics details for Kennewick, WA vs Florence, OR
Population Overview
Compare main population characteristics in Kennewick, WA vs Florence, OR.
Data | Kennewick | Florence |
---|---|---|
Population | 84,750 | 9,376 |
Median Age | 35.2 years | 57.7 years |
Median Income | $70,429 | $57,568 |
Married Families | 37.0% | 42.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Kennewick vs Florence
- In Kennewick, the population is higher at 84,750, compared to 9,376 in Florence.
- The median age in Florence is higher at 57.7 years, compared to 35.2 years in Kennewick.
- Kennewick has a higher median income of $70,429 compared to $57,568 in Florence.
- In Florence, the percentage of married families is higher at 42.0%, compared to 37.0% in Kennewick.
- Kennewick has a higher poverty level at 11% compared to 10% in Florence.
- Florence has a higher unemployment rate at 4.5% compared to 4.2% in Kennewick.
Demographics
Demographics Kennewick vs Florence provide insight into the diversity of the communities to compare.
Demographic | Kennewick | Florence |
---|---|---|
Black | 2 | 2 |
White | 56 | 87 |
Asian | 2 | 2 |
Hispanic | 29 | 5 |
Two or More Races | 10 | 3 |
American Indian | 1 | 1 |
Demographics Comparison: Kennewick vs Florence
- The percentage of Black residents is the same in both Kennewick and Florence at 2%.
- The percentage of White residents is higher in Florence at 87% compared to 56% in Kennewick.
- Both Kennewick and Florence have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Kennewick at 29% compared to 5% in Florence.
- More residents identify as two or more races in Kennewick at 10% compared to 3% in Florence.
- The percentage of American Indian residents is the same in both Kennewick and Florence at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kennewick | Florence |
---|---|---|
Mental Health Not Good | 17.7% | 19.8% |
Physical Health Not Good | 12.5% | 13.1% |
Depression | 26.4% | 29.2% |
Smoking | 15.8% | 16.7% |
Binge Drinking | 17.1% | 17.0% |
Obesity | 34.1% | 36.0% |
Disability Percentage | 16.0% | 25.0% |
Health Statistics Comparison: Kennewick vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 17.7% in Kennewick.
- Higher depression rates are seen in Florence at 29.2% versus 26.4% in Kennewick.
- Florence has a higher smoking rate at 16.7% compared to 15.8% in Kennewick.
- Binge drinking is more common in Kennewick at 17.1% compared to 17.0% in Florence.
- Florence has higher obesity rates at 36.0% compared to 34.1% in Kennewick.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 16.0% in Kennewick.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kennewick | Florence |
---|---|---|
No Schooling | 1.4% (1,168) | 0.4% (35) |
High School Diploma | 13.2% (11,198) | 14.2% (1,331) |
Less than High School | 15.4% (13,049) | 15.6% (1,467) |
Bachelor's Degree and Higher | 16.9% (14,348) | 19.9% (1,865) |
Education Levels Comparison: Kennewick vs Florence
- A higher percentage of residents in Kennewick have no formal schooling at 1.4% compared to 0.4% in Florence.
- In Florence, the rate of residents with high school diplomas is higher at 14.2% compared to 13.2% in Kennewick.
- The percentage of residents with less than a high school education is higher in Florence at 15.6%, compared to 15.4% in Kennewick.
- In Florence, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 16.9% in Kennewick.
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.