Demographics details for San francisco, CA vs Butler, PA
Population Overview
Compare main population characteristics in San francisco, CA vs Butler, PA.
| Data | San francisco | Butler |
|---|---|---|
| Population | 808,437 | 13,176 |
| Median Age | 39.3 years | 38.2 years |
| Median Income | $136,689 | $39,546 |
| Married Families | 38.0% | 26.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.6 | 4.2 |
Population Comparison: San francisco vs Butler
- In San francisco, the population is higher at 808,437, compared to 13,176 in Butler.
- Residents in San francisco have a higher median age of 39.3 years compared to 38.2 years in Butler.
- San francisco has a higher median income of $136,689 compared to $39,546 in Butler.
- A higher percentage of married families is found in San francisco at 38.0% compared to 26.0% in Butler.
- The poverty level is identical in both San francisco and Butler at 12%.
- Butler has a higher unemployment rate at 4.2% compared to 3.6% in San francisco.
Demographics
Demographics San francisco vs Butler provide insight into the diversity of the communities to compare.
| Demographic | San francisco | Butler |
|---|---|---|
| Black | 5 | 3 |
| White | 31 | 88 |
| Asian | 37 | 1 |
| Hispanic | 16 | 3 |
| Two or More Races | 10 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: San francisco vs Butler
- A higher percentage of Black residents are in San francisco at 5% compared to 3% in Butler.
- The percentage of White residents is higher in Butler at 88% compared to 31% in San francisco.
- The Asian population is larger in San francisco at 37% compared to 1% in Butler.
- The Hispanic community is larger in San francisco at 16% compared to 3% in Butler.
- More residents identify as two or more races in San francisco at 10% compared to 5% in Butler.
- A greater percentage of American Indian residents live in San francisco at 1% compared to 0% in Butler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | San francisco | Butler |
|---|---|---|
| Mental Health Not Good | 13.4% | 19.1% |
| Physical Health Not Good | 8.4% | 14.5% |
| Depression | 15.7% | 24.4% |
| Smoking | 9.2% | 24.6% |
| Binge Drinking | 16.4% | 17.4% |
| Obesity | 19.1% | 38.2% |
| Disability Percentage | 11.0% | 23.0% |
Health Statistics Comparison: San francisco vs Butler
- In Butler, a higher percentage report poor mental health at 19.1% compared to 13.4% in San francisco.
- Higher depression rates are seen in Butler at 24.4% versus 15.7% in San francisco.
- Butler has a higher smoking rate at 24.6% compared to 9.2% in San francisco.
- More residents engage in binge drinking in Butler at 17.4% compared to 16.4% in San francisco.
- Butler has higher obesity rates at 38.2% compared to 19.1% in San francisco.
- There is a higher percentage of disabled individuals in Butler at 23.0% 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 | Butler |
|---|---|---|
| No Schooling | 3.0% (23,928) | 0.1% (14) |
| High School Diploma | 8.5% (68,418) | 23.6% (3,115) |
| Less than High School | 12.4% (99,947) | 9.3% (1,222) |
| Bachelor's Degree and Higher | 50.3% (406,774) | 15.6% (2,049) |
Education Levels Comparison: San francisco vs Butler
- A higher percentage of residents in San francisco have no formal schooling at 3.0% compared to 0.1% in Butler.
- In Butler, the rate of residents with high school diplomas is higher at 23.6% compared to 8.5% in San francisco.
- More residents in San francisco have less than a high school education at 12.4% compared to 9.3% in Butler.
- A higher percentage of residents in San francisco hold a bachelor's degree or higher at 50.3% compared to 15.6% in Butler.
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.