Demographics details for Loma linda, CA vs Kennewick, WA
Population Overview
Compare main population characteristics in Loma linda, CA vs Kennewick, WA.
Data | Loma linda | Kennewick |
---|---|---|
Population | 25,129 | 84,750 |
Median Age | 37.8 years | 35.2 years |
Median Income | $70,685 | $70,429 |
Married Families | 40.0% | 37.0% |
Poverty Level | 10% | 11% |
Unemployment Rate | 3.7 | 4.2 |
Population Comparison: Loma linda vs Kennewick
- The population in Kennewick is higher at 84,750, compared to 25,129 in Loma linda.
- Residents in Loma linda have a higher median age of 37.8 years compared to 35.2 years in Kennewick.
- Loma linda has a higher median income of $70,685 compared to $70,429 in Kennewick.
- A higher percentage of married families is found in Loma linda at 40.0% compared to 37.0% in Kennewick.
- The poverty level is higher in Kennewick at 11%, compared to 10% in Loma linda.
- Kennewick has a higher unemployment rate at 4.2% compared to 3.7% in Loma linda.
Demographics
Demographics Loma linda vs Kennewick provide insight into the diversity of the communities to compare.
Demographic | Loma linda | Kennewick |
---|---|---|
Black | 6 | 2 |
White | 28 | 56 |
Asian | 26 | 2 |
Hispanic | 28 | 29 |
Two or More Races | 11 | 10 |
American Indian | 1 | 1 |
Demographics Comparison: Loma linda vs Kennewick
- A higher percentage of Black residents are in Loma linda at 6% compared to 2% in Kennewick.
- The percentage of White residents is higher in Kennewick at 56% compared to 28% in Loma linda.
- The Asian population is larger in Loma linda at 26% compared to 2% in Kennewick.
- Kennewick has a higher percentage of Hispanic residents at 29%, compared to 28% in Loma linda.
- More residents identify as two or more races in Loma linda at 11% compared to 10% in Kennewick.
- The percentage of American Indian residents is the same in both Loma linda and Kennewick at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Loma linda | Kennewick |
---|---|---|
Mental Health Not Good | 15.1% | 17.7% |
Physical Health Not Good | 10.2% | 12.5% |
Depression | 16.5% | 26.4% |
Smoking | 11.1% | 15.8% |
Binge Drinking | 13.9% | 17.1% |
Obesity | 31.7% | 34.1% |
Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Loma linda vs Kennewick
- In Kennewick, a higher percentage report poor mental health at 17.7% compared to 15.1% in Loma linda.
- Higher depression rates are seen in Kennewick at 26.4% versus 16.5% in Loma linda.
- Kennewick has a higher smoking rate at 15.8% compared to 11.1% in Loma linda.
- More residents engage in binge drinking in Kennewick at 17.1% compared to 13.9% in Loma linda.
- Kennewick has higher obesity rates at 34.1% compared to 31.7% in Loma linda.
- There is a higher percentage of disabled individuals in Kennewick at 16.0% compared to 13.0% in Loma linda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Loma linda | Kennewick |
---|---|---|
No Schooling | 1.6% (401) | 1.4% (1,168) |
High School Diploma | 9.5% (2,397) | 13.2% (11,198) |
Less than High School | 13.1% (3,304) | 15.4% (13,049) |
Bachelor's Degree and Higher | 35.4% (8,904) | 16.9% (14,348) |
Education Levels Comparison: Loma linda vs Kennewick
- A higher percentage of residents in Loma linda have no formal schooling at 1.6% compared to 1.4% in Kennewick.
- In Kennewick, the rate of residents with high school diplomas is higher at 13.2% compared to 9.5% in Loma linda.
- The percentage of residents with less than a high school education is higher in Kennewick at 15.4%, compared to 13.1% in Loma linda.
- A higher percentage of residents in Loma linda hold a bachelor's degree or higher at 35.4% 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.