Demographics details for Millbrae, CA vs Waynesfield, OH
Population Overview
Compare main population characteristics in Millbrae, CA vs Waynesfield, OH.
Data | Millbrae | Waynesfield |
---|---|---|
Population | 22,071 | 736 |
Median Age | 45.7 years | 35.4 years |
Median Income | $146,649 | $63,750 |
Married Families | 45.0% | 36.0% |
Poverty Level | 5% | Data is updating |
Unemployment Rate | 3.4 | 4.5 |
Population Comparison: Millbrae vs Waynesfield
- In Millbrae, the population is higher at 22,071, compared to 736 in Waynesfield.
- Residents in Millbrae have a higher median age of 45.7 years compared to 35.4 years in Waynesfield.
- Millbrae has a higher median income of $146,649 compared to $63,750 in Waynesfield.
- A higher percentage of married families is found in Millbrae at 45.0% compared to 36.0% in Waynesfield.
- Millbrae has a higher poverty level at 5% compared to 0% in Waynesfield.
- Waynesfield has a higher unemployment rate at 4.5% compared to 3.4% in Millbrae.
Demographics
Demographics Millbrae vs Waynesfield provide insight into the diversity of the communities to compare.
Demographic | Millbrae | Waynesfield |
---|---|---|
Black | 1 | 1 |
White | 30 | 91 |
Asian | 49 | Data is updating |
Hispanic | 11 | 3 |
Two or More Races | 9 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Millbrae vs Waynesfield
- The percentage of Black residents is the same in both Millbrae and Waynesfield at 1%.
- The percentage of White residents is higher in Waynesfield at 91% compared to 30% in Millbrae.
- The Asian population is larger in Millbrae at 49% compared to 0% in Waynesfield.
- The Hispanic community is larger in Millbrae at 11% compared to 3% in Waynesfield.
- More residents identify as two or more races in Millbrae at 9% compared to 5% in Waynesfield.
- The percentage of American Indian residents is the same in both Millbrae and Waynesfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Millbrae | Waynesfield |
---|---|---|
Mental Health Not Good | 11.9% | 17.3% |
Physical Health Not Good | 7.4% | 11.4% |
Depression | 13.5% | 23.2% |
Smoking | 7.8% | 19.6% |
Binge Drinking | 14.3% | 19.3% |
Obesity | 18.8% | 37.4% |
Disability Percentage | 9.0% | 7.0% |
Health Statistics Comparison: Millbrae vs Waynesfield
- In Waynesfield, a higher percentage report poor mental health at 17.3% compared to 11.9% in Millbrae.
- Higher depression rates are seen in Waynesfield at 23.2% versus 13.5% in Millbrae.
- Waynesfield has a higher smoking rate at 19.6% compared to 7.8% in Millbrae.
- More residents engage in binge drinking in Waynesfield at 19.3% compared to 14.3% in Millbrae.
- Waynesfield has higher obesity rates at 37.4% compared to 18.8% in Millbrae.
- Disability percentages are higher in Millbrae at 9.0% compared to 7.0% in Waynesfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Millbrae | Waynesfield |
---|---|---|
No Schooling | 1.0% (218) | 1.8% (13) |
High School Diploma | 12.2% (2,692) | 24.3% (179) |
Less than High School | 7.7% (1,706) | 9.8% (72) |
Bachelor's Degree and Higher | 38.1% (8,420) | 10.2% (75) |
Education Levels Comparison: Millbrae vs Waynesfield
- In Waynesfield, a larger percentage of residents lack formal schooling at 1.8% compared to 1.0% in Millbrae.
- In Waynesfield, the rate of residents with high school diplomas is higher at 24.3% compared to 12.2% in Millbrae.
- The percentage of residents with less than a high school education is higher in Waynesfield at 9.8%, compared to 7.7% in Millbrae.
- A higher percentage of residents in Millbrae hold a bachelor's degree or higher at 38.1% compared to 10.2% in Waynesfield.
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.