Demographics details for San francisco, CA vs Malta, MT
Population Overview
Compare main population characteristics in San francisco, CA vs Malta, MT.
| Data | San francisco | Malta |
|---|---|---|
| Population | 808,437 | 1,868 |
| Median Age | 39.3 years | 49.6 years |
| Median Income | $136,689 | $60,735 |
| Married Families | 38.0% | 49.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.6 | 3.1 |
Population Comparison: San francisco vs Malta
- In San francisco, the population is higher at 808,437, compared to 1,868 in Malta.
- The median age in Malta is higher at 49.6 years, compared to 39.3 years in San francisco.
- San francisco has a higher median income of $136,689 compared to $60,735 in Malta.
- In Malta, the percentage of married families is higher at 49.0%, compared to 38.0% in San francisco.
- San francisco has a higher poverty level at 12% compared to 10% in Malta.
- The unemployment rate in San francisco is higher at 3.6%, compared to 3.1% in Malta.
Demographics
Demographics San francisco vs Malta provide insight into the diversity of the communities to compare.
| Demographic | San francisco | Malta |
|---|---|---|
| Black | 5 | Data is updating |
| White | 31 | 77 |
| Asian | 37 | Data is updating |
| Hispanic | 16 | 5 |
| Two or More Races | 10 | 14 |
| American Indian | 1 | 4 |
Demographics Comparison: San francisco vs Malta
- A higher percentage of Black residents are in San francisco at 5% compared to 0% in Malta.
- The percentage of White residents is higher in Malta at 77% compared to 31% in San francisco.
- The Asian population is larger in San francisco at 37% compared to 0% in Malta.
- The Hispanic community is larger in San francisco at 16% compared to 5% in Malta.
- The percentage of residents identifying as two or more races is higher in Malta at 14%, compared to 10% in San francisco.
- In Malta, the percentage of American Indian residents is higher at 4%, compared to 1% in San francisco.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | San francisco | Malta |
|---|---|---|
| Mental Health Not Good | 13.4% | 17.3% |
| Physical Health Not Good | 8.4% | 11.7% |
| Depression | 15.7% | 23.6% |
| Smoking | 9.2% | 18.6% |
| Binge Drinking | 16.4% | 21.3% |
| Obesity | 19.1% | 37.6% |
| Disability Percentage | 11.0% | 20.0% |
Health Statistics Comparison: San francisco vs Malta
- In Malta, a higher percentage report poor mental health at 17.3% compared to 13.4% in San francisco.
- Higher depression rates are seen in Malta at 23.6% versus 15.7% in San francisco.
- Malta has a higher smoking rate at 18.6% compared to 9.2% in San francisco.
- More residents engage in binge drinking in Malta at 21.3% compared to 16.4% in San francisco.
- Malta has higher obesity rates at 37.6% compared to 19.1% in San francisco.
- There is a higher percentage of disabled individuals in Malta at 20.0% compared to 11.0% in San francisco.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | San francisco | Malta |
|---|---|---|
| No Schooling | 3.0% (23,928) | 0.1% (1) |
| High School Diploma | 8.5% (68,418) | 23.8% (444) |
| Less than High School | 12.4% (99,947) | 12.3% (230) |
| Bachelor's Degree and Higher | 50.3% (406,774) | 19.3% (361) |
Education Levels Comparison: San francisco vs Malta
- A higher percentage of residents in San francisco have no formal schooling at 3.0% compared to 0.1% in Malta.
- In Malta, the rate of residents with high school diplomas is higher at 23.8% compared to 8.5% in San francisco.
- More residents in San francisco have less than a high school education at 12.4% compared to 12.3% in Malta.
- A higher percentage of residents in San francisco hold a bachelor's degree or higher at 50.3% compared to 19.3% in Malta.
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.