Demographics details for Mammoth lakes, CA vs Keizer, OR
Population Overview
Compare main population characteristics in Mammoth lakes, CA vs Keizer, OR.
Data | Mammoth lakes | Keizer |
---|---|---|
Population | 7,093 | 38,704 |
Median Age | 38.4 years | 35.8 years |
Median Income | $80,795 | $75,753 |
Married Families | 43.0% | 38.0% |
Poverty Level | 8% | 10% |
Unemployment Rate | 4.3 | 3.6 |
Population Comparison: Mammoth lakes vs Keizer
- The population in Keizer is higher at 38,704, compared to 7,093 in Mammoth lakes.
- Residents in Mammoth lakes have a higher median age of 38.4 years compared to 35.8 years in Keizer.
- Mammoth lakes has a higher median income of $80,795 compared to $75,753 in Keizer.
- A higher percentage of married families is found in Mammoth lakes at 43.0% compared to 38.0% in Keizer.
- The poverty level is higher in Keizer at 10%, compared to 8% in Mammoth lakes.
- The unemployment rate in Mammoth lakes is higher at 4.3%, compared to 3.6% in Keizer.
Demographics
Demographics Mammoth lakes vs Keizer provide insight into the diversity of the communities to compare.
Demographic | Mammoth lakes | Keizer |
---|---|---|
Black | Data is updating | 1 |
White | 62 | 58 |
Asian | 6 | 1 |
Hispanic | 28 | 25 |
Two or More Races | 4 | 14 |
American Indian | Data is updating | 1 |
Demographics Comparison: Mammoth lakes vs Keizer
- In Keizer, the percentage of Black residents is higher at 1% compared to 0% in Mammoth lakes.
- Mammoth lakes has a higher percentage of White residents at 62% compared to 58% in Keizer.
- The Asian population is larger in Mammoth lakes at 6% compared to 1% in Keizer.
- The Hispanic community is larger in Mammoth lakes at 28% compared to 25% in Keizer.
- The percentage of residents identifying as two or more races is higher in Keizer at 14%, compared to 4% in Mammoth lakes.
- In Keizer, the percentage of American Indian residents is higher at 1%, compared to 0% in Mammoth lakes.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mammoth lakes | Keizer |
---|---|---|
Mental Health Not Good | 16.2% | 17.9% |
Physical Health Not Good | 11.1% | 11.4% |
Depression | 20.0% | 28.5% |
Smoking | 12.9% | 15.4% |
Binge Drinking | 18.4% | 16.5% |
Obesity | 30.2% | 35.7% |
Disability Percentage | 5.0% | 16.0% |
Health Statistics Comparison: Mammoth lakes vs Keizer
- In Keizer, a higher percentage report poor mental health at 17.9% compared to 16.2% in Mammoth lakes.
- Higher depression rates are seen in Keizer at 28.5% versus 20.0% in Mammoth lakes.
- Keizer has a higher smoking rate at 15.4% compared to 12.9% in Mammoth lakes.
- Binge drinking is more common in Mammoth lakes at 18.4% compared to 16.5% in Keizer.
- Keizer has higher obesity rates at 35.7% compared to 30.2% in Mammoth lakes.
- There is a higher percentage of disabled individuals in Keizer at 16.0% compared to 5.0% in Mammoth lakes.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mammoth lakes | Keizer |
---|---|---|
No Schooling | 1.4% (100) | 1.8% (685) |
High School Diploma | 13.5% (959) | 12.7% (4,898) |
Less than High School | 20.0% (1,416) | 13.9% (5,363) |
Bachelor's Degree and Higher | 19.5% (1,383) | 17.1% (6,617) |
Education Levels Comparison: Mammoth lakes vs Keizer
- In Keizer, a larger percentage of residents lack formal schooling at 1.8% compared to 1.4% in Mammoth lakes.
- A higher percentage of residents in Mammoth lakes hold a high school diploma at 13.5% compared to 12.7% in Keizer.
- More residents in Mammoth lakes have less than a high school education at 20.0% compared to 13.9% in Keizer.
- A higher percentage of residents in Mammoth lakes hold a bachelor's degree or higher at 19.5% compared to 17.1% in Keizer.
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.