Demographics details for Rising star, TX vs Millbrae, CA
Population Overview
Compare main population characteristics in Rising star, TX vs Millbrae, CA.
Data | Rising star | Millbrae |
---|---|---|
Population | 765 | 22,071 |
Median Age | 44.1 years | 45.7 years |
Median Income | $32,697 | $146,649 |
Married Families | 22.0% | 45.0% |
Poverty Level | 10% | 5% |
Unemployment Rate | 3.2 | 3.4 |
Population Comparison: Rising star vs Millbrae
- The population in Millbrae is higher at 22,071, compared to 765 in Rising star.
- The median age in Millbrae is higher at 45.7 years, compared to 44.1 years in Rising star.
- Millbrae has a higher median income of $146,649, compared to $32,697 in Rising star.
- In Millbrae, the percentage of married families is higher at 45.0%, compared to 22.0% in Rising star.
- Rising star has a higher poverty level at 10% compared to 5% in Millbrae.
- Millbrae has a higher unemployment rate at 3.4% compared to 3.2% in Rising star.
Demographics
Demographics Rising star vs Millbrae provide insight into the diversity of the communities to compare.
Demographic | Rising star | Millbrae |
---|---|---|
Black | Data is updating | 1 |
White | 76 | 30 |
Asian | Data is updating | 49 |
Hispanic | 18 | 11 |
Two or More Races | 6 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Rising star vs Millbrae
- In Millbrae, the percentage of Black residents is higher at 1% compared to 0% in Rising star.
- Rising star has a higher percentage of White residents at 76% compared to 30% in Millbrae.
- In Millbrae, the Asian population stands at 49%, greater than 0% in Rising star.
- The Hispanic community is larger in Rising star at 18% compared to 11% in Millbrae.
- The percentage of residents identifying as two or more races is higher in Millbrae at 9%, compared to 6% in Rising star.
- The percentage of American Indian residents is the same in both Rising star and Millbrae at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Rising star | Millbrae |
---|---|---|
Mental Health Not Good | 19.3% | 11.9% |
Physical Health Not Good | 13.0% | 7.4% |
Depression | 26.6% | 13.5% |
Smoking | 20.2% | 7.8% |
Binge Drinking | 18.7% | 14.3% |
Obesity | 37.0% | 18.8% |
Disability Percentage | 21.0% | 9.0% |
Health Statistics Comparison: Rising star vs Millbrae
- More residents in Rising star report poor mental health at 19.3% compared to 11.9% in Millbrae.
- Depression is more prevalent in Rising star at 26.6% compared to 13.5% in Millbrae.
- Smoking is more prevalent in Rising star at 20.2% compared to 7.8% in Millbrae.
- Binge drinking is more common in Rising star at 18.7% compared to 14.3% in Millbrae.
- Obesity rates are higher in Rising star at 37.0% compared to 18.8% in Millbrae.
- Disability percentages are higher in Rising star at 21.0% compared to 9.0% in Millbrae.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Rising star | Millbrae |
---|---|---|
No Schooling | 1.4% (11) | 1.0% (218) |
High School Diploma | 14.4% (110) | 12.2% (2,692) |
Less than High School | 25.1% (192) | 7.7% (1,706) |
Bachelor's Degree and Higher | 2.0% (15) | 38.1% (8,420) |
Education Levels Comparison: Rising star vs Millbrae
- A higher percentage of residents in Rising star have no formal schooling at 1.4% compared to 1.0% in Millbrae.
- A higher percentage of residents in Rising star hold a high school diploma at 14.4% compared to 12.2% in Millbrae.
- More residents in Rising star have less than a high school education at 25.1% compared to 7.7% in Millbrae.
- In Millbrae, a larger share of residents have a bachelor's degree or higher at 38.1% compared to 2.0% in Rising star.
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.