Demographics details for Carlin, NV vs San francisco, CA
Population Overview
Compare main population characteristics in Carlin, NV vs San francisco, CA.
| Data | Carlin | San francisco |
|---|---|---|
| Population | 1,950 | 808,437 |
| Median Age | 36.3 years | 39.3 years |
| Median Income | $68,207 | $136,689 |
| Married Families | 52.0% | 38.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 5.2 | 3.6 |
Population Comparison: Carlin vs San francisco
- The population in San francisco is higher at 808,437, compared to 1,950 in Carlin.
- The median age in San francisco is higher at 39.3 years, compared to 36.3 years in Carlin.
- San francisco has a higher median income of $136,689, compared to $68,207 in Carlin.
- A higher percentage of married families is found in Carlin at 52.0% compared to 38.0% in San francisco.
- The poverty level is higher in San francisco at 12%, compared to 0% in Carlin.
- The unemployment rate in Carlin is higher at 5.2%, compared to 3.6% in San francisco.
Demographics
Demographics Carlin vs San francisco provide insight into the diversity of the communities to compare.
| Demographic | Carlin | San francisco |
|---|---|---|
| Black | 1 | 5 |
| White | 23 | 31 |
| Asian | 7 | 37 |
| Hispanic | 34 | 16 |
| Two or More Races | 32 | 10 |
| American Indian | 3 | 1 |
Demographics Comparison: Carlin vs San francisco
- In San francisco, the percentage of Black residents is higher at 5% compared to 1% in Carlin.
- The percentage of White residents is higher in San francisco at 31% compared to 23% in Carlin.
- In San francisco, the Asian population stands at 37%, greater than 7% in Carlin.
- The Hispanic community is larger in Carlin at 34% compared to 16% in San francisco.
- More residents identify as two or more races in Carlin at 32% compared to 10% in San francisco.
- A greater percentage of American Indian residents live in Carlin at 3% compared to 1% in San francisco.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Carlin | San francisco |
|---|---|---|
| Mental Health Not Good | 18.8% | 13.4% |
| Physical Health Not Good | 13.0% | 8.4% |
| Depression | 22.3% | 15.7% |
| Smoking | 20.0% | 9.2% |
| Binge Drinking | 17.6% | 16.4% |
| Obesity | 34.7% | 19.1% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Carlin vs San francisco
- More residents in Carlin report poor mental health at 18.8% compared to 13.4% in San francisco.
- Depression is more prevalent in Carlin at 22.3% compared to 15.7% in San francisco.
- Smoking is more prevalent in Carlin at 20.0% compared to 9.2% in San francisco.
- Binge drinking is more common in Carlin at 17.6% compared to 16.4% in San francisco.
- Obesity rates are higher in Carlin at 34.7% compared to 19.1% in San francisco.
- Disability percentages are higher in Carlin at 14.0% 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 | Carlin | San francisco |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.0% (23,928) |
| High School Diploma | 23.7% (462) | 8.5% (68,418) |
| Less than High School | 11.2% (219) | 12.4% (99,947) |
| Bachelor's Degree and Higher | 10.8% (210) | 50.3% (406,774) |
Education Levels Comparison: Carlin vs San francisco
- In San francisco, a larger percentage of residents lack formal schooling at 3.0% compared to 0.0% in Carlin.
- A higher percentage of residents in Carlin hold a high school diploma at 23.7% 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 11.2% in Carlin.
- In San francisco, a larger share of residents have a bachelor's degree or higher at 50.3% compared to 10.8% in Carlin.
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.