Demographics details for Everett, WA vs Mokelumne hill, CA
Population Overview
Compare main population characteristics in Everett, WA vs Mokelumne hill, CA.
Data | Everett | Mokelumne hill |
---|---|---|
Population | 111,337 | 808 |
Median Age | 36.4 years | 61.8 years |
Median Income | $77,806 | $81,483 |
Married Families | 34.0% | 65.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Everett vs Mokelumne hill
- In Everett, the population is higher at 111,337, compared to 808 in Mokelumne hill.
- The median age in Mokelumne hill is higher at 61.8 years, compared to 36.4 years in Everett.
- Mokelumne hill has a higher median income of $81,483, compared to $77,806 in Everett.
- In Mokelumne hill, the percentage of married families is higher at 65.0%, compared to 34.0% in Everett.
- The poverty level is identical in both Everett and Mokelumne hill at 10%.
- The unemployment rate in Everett is higher at 5.1%, compared to 3.5% in Mokelumne hill.
Demographics
Demographics Everett vs Mokelumne hill provide insight into the diversity of the communities to compare.
Demographic | Everett | Mokelumne hill |
---|---|---|
Black | 6 | 15 |
White | 56 | 48 |
Asian | 10 | Data is updating |
Hispanic | 17 | 24 |
Two or More Races | 10 | 13 |
American Indian | 1 | Data is updating |
Demographics Comparison: Everett vs Mokelumne hill
- In Mokelumne hill, the percentage of Black residents is higher at 15% compared to 6% in Everett.
- Everett has a higher percentage of White residents at 56% compared to 48% in Mokelumne hill.
- The Asian population is larger in Everett at 10% compared to 0% in Mokelumne hill.
- Mokelumne hill has a higher percentage of Hispanic residents at 24%, compared to 17% in Everett.
- The percentage of residents identifying as two or more races is higher in Mokelumne hill at 13%, compared to 10% in Everett.
- A greater percentage of American Indian residents live in Everett at 1% compared to 0% in Mokelumne hill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Everett | Mokelumne hill |
---|---|---|
Mental Health Not Good | 18.1% | 19.8% |
Physical Health Not Good | 12.4% | 13.6% |
Depression | 29.8% | 24.2% |
Smoking | 14.5% | 17.6% |
Binge Drinking | 15.3% | 16.7% |
Obesity | 35.3% | 32.4% |
Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: Everett vs Mokelumne hill
- In Mokelumne hill, a higher percentage report poor mental health at 19.8% compared to 18.1% in Everett.
- Depression is more prevalent in Everett at 29.8% compared to 24.2% in Mokelumne hill.
- Mokelumne hill has a higher smoking rate at 17.6% compared to 14.5% in Everett.
- More residents engage in binge drinking in Mokelumne hill at 16.7% compared to 15.3% in Everett.
- Obesity rates are higher in Everett at 35.3% compared to 32.4% in Mokelumne hill.
- Disability percentages are higher in Everett at 14.0% compared to 9.0% in Mokelumne hill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Everett | Mokelumne hill |
---|---|---|
No Schooling | 1.4% (1,505) | 0.0% (Data is updating) |
High School Diploma | 14.6% (16,295) | 12.5% (101) |
Less than High School | 13.8% (15,320) | 8.7% (70) |
Bachelor's Degree and Higher | 18.9% (21,025) | 20.2% (163) |
Education Levels Comparison: Everett vs Mokelumne hill
- A higher percentage of residents in Everett have no formal schooling at 1.4% compared to 0.0% in Mokelumne hill.
- A higher percentage of residents in Everett hold a high school diploma at 14.6% compared to 12.5% in Mokelumne hill.
- More residents in Everett have less than a high school education at 13.8% compared to 8.7% in Mokelumne hill.
- In Mokelumne hill, a larger share of residents have a bachelor's degree or higher at 20.2% compared to 18.9% in Everett.
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.