Demographics details for Freeland, WA vs Moreno valley, CA
Population Overview
Compare main population characteristics in Freeland, WA vs Moreno valley, CA.
Data | Freeland | Moreno valley |
---|---|---|
Population | 1,894 | 211,924 |
Median Age | 51.2 years | 31.8 years |
Median Income | $89,868 | $82,637 |
Married Families | 44.0% | 34.0% |
Poverty Level | 5% | 16% |
Unemployment Rate | 5.1 | 5.6 |
Population Comparison: Freeland vs Moreno valley
- The population in Moreno valley is higher at 211,924, compared to 1,894 in Freeland.
- Residents in Freeland have a higher median age of 51.2 years compared to 31.8 years in Moreno valley.
- Freeland has a higher median income of $89,868 compared to $82,637 in Moreno valley.
- A higher percentage of married families is found in Freeland at 44.0% compared to 34.0% in Moreno valley.
- The poverty level is higher in Moreno valley at 16%, compared to 5% in Freeland.
- Moreno valley has a higher unemployment rate at 5.6% compared to 5.1% in Freeland.
Demographics
Demographics Freeland vs Moreno valley provide insight into the diversity of the communities to compare.
Demographic | Freeland | Moreno valley |
---|---|---|
Black | 3 | 17 |
White | 86 | 6 |
Asian | 1 | 5 |
Hispanic | 3 | 60 |
Two or More Races | 6 | 11 |
American Indian | 1 | 1 |
Demographics Comparison: Freeland vs Moreno valley
- In Moreno valley, the percentage of Black residents is higher at 17% compared to 3% in Freeland.
- Freeland has a higher percentage of White residents at 86% compared to 6% in Moreno valley.
- In Moreno valley, the Asian population stands at 5%, greater than 1% in Freeland.
- Moreno valley has a higher percentage of Hispanic residents at 60%, compared to 3% in Freeland.
- The percentage of residents identifying as two or more races is higher in Moreno valley at 11%, compared to 6% in Freeland.
- The percentage of American Indian residents is the same in both Freeland and Moreno valley at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Freeland | Moreno valley |
---|---|---|
Mental Health Not Good | 15.8% | 16.4% |
Physical Health Not Good | 9.2% | 12.5% |
Depression | 25.5% | 16.6% |
Smoking | 11.8% | 14.0% |
Binge Drinking | 18.0% | 15.3% |
Obesity | 29.6% | 38.2% |
Disability Percentage | 19.0% | 10.0% |
Health Statistics Comparison: Freeland vs Moreno valley
- In Moreno valley, a higher percentage report poor mental health at 16.4% compared to 15.8% in Freeland.
- Depression is more prevalent in Freeland at 25.5% compared to 16.6% in Moreno valley.
- Moreno valley has a higher smoking rate at 14.0% compared to 11.8% in Freeland.
- Binge drinking is more common in Freeland at 18.0% compared to 15.3% in Moreno valley.
- Moreno valley has higher obesity rates at 38.2% compared to 29.6% in Freeland.
- Disability percentages are higher in Freeland at 19.0% compared to 10.0% in Moreno valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Freeland | Moreno valley |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.1% (4,503) |
High School Diploma | 8.1% (153) | 16.2% (34,348) |
Less than High School | 8.7% (164) | 23.9% (50,595) |
Bachelor's Degree and Higher | 28.9% (548) | 10.4% (22,123) |
Education Levels Comparison: Freeland vs Moreno valley
- In Moreno valley, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Freeland.
- In Moreno valley, the rate of residents with high school diplomas is higher at 16.2% compared to 8.1% in Freeland.
- The percentage of residents with less than a high school education is higher in Moreno valley at 23.9%, compared to 8.7% in Freeland.
- A higher percentage of residents in Freeland hold a bachelor's degree or higher at 28.9% compared to 10.4% in Moreno valley.
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.