Demographics details for Elm city, NC vs San francisco, CA
Population Overview
Compare main population characteristics in Elm city, NC vs San francisco, CA.
| Data | Elm city | San francisco |
|---|---|---|
| Population | 1,204 | 808,437 |
| Median Age | 48.0 years | 39.3 years |
| Median Income | $48,125 | $136,689 |
| Married Families | 43.0% | 38.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 5.1 | 3.6 |
Population Comparison: Elm city vs San francisco
- The population in San francisco is higher at 808,437, compared to 1,204 in Elm city.
- Residents in Elm city have a higher median age of 48.0 years compared to 39.3 years in San francisco.
- San francisco has a higher median income of $136,689, compared to $48,125 in Elm city.
- A higher percentage of married families is found in Elm city at 43.0% compared to 38.0% in San francisco.
- Elm city has a higher poverty level at 15% compared to 12% in San francisco.
- The unemployment rate in Elm city is higher at 5.1%, compared to 3.6% in San francisco.
Demographics
Demographics Elm city vs San francisco provide insight into the diversity of the communities to compare.
| Demographic | Elm city | San francisco |
|---|---|---|
| Black | 60 | 5 |
| White | 25 | 31 |
| Asian | 3 | 37 |
| Hispanic | 11 | 16 |
| Two or More Races | 1 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Elm city vs San francisco
- A higher percentage of Black residents are in Elm city at 60% compared to 5% in San francisco.
- The percentage of White residents is higher in San francisco at 31% compared to 25% in Elm city.
- In San francisco, the Asian population stands at 37%, greater than 3% in Elm city.
- San francisco has a higher percentage of Hispanic residents at 16%, compared to 11% in Elm city.
- The percentage of residents identifying as two or more races is higher in San francisco at 10%, compared to 1% in Elm city.
- In San francisco, the percentage of American Indian residents is higher at 1%, compared to 0% in Elm city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elm city | San francisco |
|---|---|---|
| Mental Health Not Good | 16.8% | 13.4% |
| Physical Health Not Good | 12.0% | 8.4% |
| Depression | 21.2% | 15.7% |
| Smoking | 18.8% | 9.2% |
| Binge Drinking | 15.7% | 16.4% |
| Obesity | 37.9% | 19.1% |
| Disability Percentage | 19.0% | 11.0% |
Health Statistics Comparison: Elm city vs San francisco
- More residents in Elm city report poor mental health at 16.8% compared to 13.4% in San francisco.
- Depression is more prevalent in Elm city at 21.2% compared to 15.7% in San francisco.
- Smoking is more prevalent in Elm city at 18.8% compared to 9.2% in San francisco.
- More residents engage in binge drinking in San francisco at 16.4% compared to 15.7% in Elm city.
- Obesity rates are higher in Elm city at 37.9% compared to 19.1% in San francisco.
- Disability percentages are higher in Elm city at 19.0% 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 | Elm city | San francisco |
|---|---|---|
| No Schooling | 0.7% (8) | 3.0% (23,928) |
| High School Diploma | 24.1% (290) | 8.5% (68,418) |
| Less than High School | 15.1% (182) | 12.4% (99,947) |
| Bachelor's Degree and Higher | 11.5% (139) | 50.3% (406,774) |
Education Levels Comparison: Elm city vs San francisco
- In San francisco, a larger percentage of residents lack formal schooling at 3.0% compared to 0.7% in Elm city.
- A higher percentage of residents in Elm city hold a high school diploma at 24.1% compared to 8.5% in San francisco.
- More residents in Elm city have less than a high school education at 15.1% compared to 12.4% in San francisco.
- In San francisco, a larger share of residents have a bachelor's degree or higher at 50.3% compared to 11.5% in Elm city.
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.