Demographics details for Laurel, MD vs San francisco, CA
Population Overview
Compare main population characteristics in Laurel, MD vs San francisco, CA.
| Data | Laurel | San francisco |
|---|---|---|
| Population | 29,352 | 808,437 |
| Median Age | 36.4 years | 39.3 years |
| Median Income | $92,035 | $136,689 |
| Married Families | 33.0% | 38.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 3.4 | 3.6 |
Population Comparison: Laurel vs San francisco
- The population in San francisco is higher at 808,437, compared to 29,352 in Laurel.
- The median age in San francisco is higher at 39.3 years, compared to 36.4 years in Laurel.
- San francisco has a higher median income of $136,689, compared to $92,035 in Laurel.
- In San francisco, the percentage of married families is higher at 38.0%, compared to 33.0% in Laurel.
- The poverty level is higher in San francisco at 12%, compared to 9% in Laurel.
- San francisco has a higher unemployment rate at 3.6% compared to 3.4% in Laurel.
Demographics
Demographics Laurel vs San francisco provide insight into the diversity of the communities to compare.
| Demographic | Laurel | San francisco |
|---|---|---|
| Black | 52 | 5 |
| White | 11 | 31 |
| Asian | 10 | 37 |
| Hispanic | 18 | 16 |
| Two or More Races | 8 | 10 |
| American Indian | 1 | 1 |
Demographics Comparison: Laurel vs San francisco
- A higher percentage of Black residents are in Laurel at 52% compared to 5% in San francisco.
- The percentage of White residents is higher in San francisco at 31% compared to 11% in Laurel.
- In San francisco, the Asian population stands at 37%, greater than 10% in Laurel.
- The Hispanic community is larger in Laurel at 18% compared to 16% in San francisco.
- The percentage of residents identifying as two or more races is higher in San francisco at 10%, compared to 8% in Laurel.
- The percentage of American Indian residents is the same in both Laurel and San francisco at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Laurel | San francisco |
|---|---|---|
| Mental Health Not Good | 13.1% | 13.4% |
| Physical Health Not Good | 8.6% | 8.4% |
| Depression | 13.1% | 15.7% |
| Smoking | 10.4% | 9.2% |
| Binge Drinking | 12.4% | 16.4% |
| Obesity | 36.6% | 19.1% |
| Disability Percentage | 7.0% | 11.0% |
Health Statistics Comparison: Laurel vs San francisco
- In San francisco, a higher percentage report poor mental health at 13.4% compared to 13.1% in Laurel.
- Higher depression rates are seen in San francisco at 15.7% versus 13.1% in Laurel.
- Smoking is more prevalent in Laurel at 10.4% compared to 9.2% in San francisco.
- More residents engage in binge drinking in San francisco at 16.4% compared to 12.4% in Laurel.
- Obesity rates are higher in Laurel at 36.6% compared to 19.1% in San francisco.
- There is a higher percentage of disabled individuals in San francisco at 11.0% compared to 7.0% in Laurel.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Laurel | San francisco |
|---|---|---|
| No Schooling | 1.8% (521) | 3.0% (23,928) |
| High School Diploma | 10.0% (2,934) | 8.5% (68,418) |
| Less than High School | 12.3% (3,616) | 12.4% (99,947) |
| Bachelor's Degree and Higher | 30.9% (9,081) | 50.3% (406,774) |
Education Levels Comparison: Laurel vs San francisco
- In San francisco, a larger percentage of residents lack formal schooling at 3.0% compared to 1.8% in Laurel.
- A higher percentage of residents in Laurel hold a high school diploma at 10.0% compared to 8.5% in San francisco.
- The percentage of residents with less than a high school education is higher in San francisco at 12.4%, compared to 12.3% in Laurel.
- In San francisco, a larger share of residents have a bachelor's degree or higher at 50.3% compared to 30.9% in Laurel.
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.