Demographics details for Millbrae, CA vs Tylertown, MS
Population Overview
Compare main population characteristics in Millbrae, CA vs Tylertown, MS.
| Data | Millbrae | Tylertown |
|---|---|---|
| Population | 22,071 | 1,467 |
| Median Age | 45.7 years | 33.9 years |
| Median Income | $146,649 | $32,019 |
| Married Families | 45.0% | 40.0% |
| Poverty Level | 5% | 20% |
| Unemployment Rate | 3.4 | 5.2 |
Population Comparison: Millbrae vs Tylertown
- In Millbrae, the population is higher at 22,071, compared to 1,467 in Tylertown.
- Residents in Millbrae have a higher median age of 45.7 years compared to 33.9 years in Tylertown.
- Millbrae has a higher median income of $146,649 compared to $32,019 in Tylertown.
- A higher percentage of married families is found in Millbrae at 45.0% compared to 40.0% in Tylertown.
- The poverty level is higher in Tylertown at 20%, compared to 5% in Millbrae.
- Tylertown has a higher unemployment rate at 5.2% compared to 3.4% in Millbrae.
Demographics
Demographics Millbrae vs Tylertown provide insight into the diversity of the communities to compare.
| Demographic | Millbrae | Tylertown |
|---|---|---|
| Black | 1 | 50 |
| White | 30 | 27 |
| Asian | 49 | 2 |
| Hispanic | 11 | 17 |
| Two or More Races | 9 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Millbrae vs Tylertown
- In Tylertown, the percentage of Black residents is higher at 50% compared to 1% in Millbrae.
- Millbrae has a higher percentage of White residents at 30% compared to 27% in Tylertown.
- The Asian population is larger in Millbrae at 49% compared to 2% in Tylertown.
- Tylertown has a higher percentage of Hispanic residents at 17%, compared to 11% in Millbrae.
- More residents identify as two or more races in Millbrae at 9% compared to 4% in Tylertown.
- The percentage of American Indian residents is the same in both Millbrae and Tylertown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Millbrae | Tylertown |
|---|---|---|
| Mental Health Not Good | 11.9% | 18.3% |
| Physical Health Not Good | 7.4% | 14.2% |
| Depression | 13.5% | 22.0% |
| Smoking | 7.8% | 23.1% |
| Binge Drinking | 14.3% | 12.7% |
| Obesity | 18.8% | 44.0% |
| Disability Percentage | 9.0% | 32.0% |
Health Statistics Comparison: Millbrae vs Tylertown
- In Tylertown, a higher percentage report poor mental health at 18.3% compared to 11.9% in Millbrae.
- Higher depression rates are seen in Tylertown at 22.0% versus 13.5% in Millbrae.
- Tylertown has a higher smoking rate at 23.1% compared to 7.8% in Millbrae.
- Binge drinking is more common in Millbrae at 14.3% compared to 12.7% in Tylertown.
- Tylertown has higher obesity rates at 44.0% compared to 18.8% in Millbrae.
- There is a higher percentage of disabled individuals in Tylertown at 32.0% 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 | Millbrae | Tylertown |
|---|---|---|
| No Schooling | 1.0% (218) | 9.7% (142) |
| High School Diploma | 12.2% (2,692) | 20.2% (296) |
| Less than High School | 7.7% (1,706) | 27.8% (408) |
| Bachelor's Degree and Higher | 38.1% (8,420) | 21.0% (308) |
Education Levels Comparison: Millbrae vs Tylertown
- In Tylertown, a larger percentage of residents lack formal schooling at 9.7% compared to 1.0% in Millbrae.
- In Tylertown, the rate of residents with high school diplomas is higher at 20.2% compared to 12.2% in Millbrae.
- The percentage of residents with less than a high school education is higher in Tylertown at 27.8%, 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 21.0% in Tylertown.
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.