Demographics details for South san francisco, CA vs Nampa, ID
Population Overview
Compare main population characteristics in South san francisco, CA vs Nampa, ID.
| Data | South san francisco | Nampa |
|---|---|---|
| Population | 63,484 | 110,951 |
| Median Age | 42.3 years | 33.5 years |
| Median Income | $127,062 | $67,346 |
| Married Families | 44.0% | 37.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 3.6 | 4.2 |
Population Comparison: South san francisco vs Nampa
- The population in Nampa is higher at 110,951, compared to 63,484 in South san francisco.
- Residents in South san francisco have a higher median age of 42.3 years compared to 33.5 years in Nampa.
- South san francisco has a higher median income of $127,062 compared to $67,346 in Nampa.
- A higher percentage of married families is found in South san francisco at 44.0% compared to 37.0% in Nampa.
- The poverty level is higher in Nampa at 10%, compared to 8% in South san francisco.
- Nampa has a higher unemployment rate at 4.2% compared to 3.6% in South san francisco.
Demographics
Demographics South san francisco vs Nampa provide insight into the diversity of the communities to compare.
| Demographic | South san francisco | Nampa |
|---|---|---|
| Black | 2 | 1 |
| White | 11 | 65 |
| Asian | 45 | 1 |
| Hispanic | 30 | 23 |
| Two or More Races | 11 | 9 |
| American Indian | 1 | 1 |
Demographics Comparison: South san francisco vs Nampa
- A higher percentage of Black residents are in South san francisco at 2% compared to 1% in Nampa.
- The percentage of White residents is higher in Nampa at 65% compared to 11% in South san francisco.
- The Asian population is larger in South san francisco at 45% compared to 1% in Nampa.
- The Hispanic community is larger in South san francisco at 30% compared to 23% in Nampa.
- More residents identify as two or more races in South san francisco at 11% compared to 9% in Nampa.
- The percentage of American Indian residents is the same in both South san francisco and Nampa at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | South san francisco | Nampa |
|---|---|---|
| Mental Health Not Good | 12.9% | 16.8% |
| Physical Health Not Good | 8.8% | 12.2% |
| Depression | 13.7% | 24.0% |
| Smoking | 9.3% | 17.6% |
| Binge Drinking | 14.5% | 15.2% |
| Obesity | 21.9% | 36.7% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: South san francisco vs Nampa
- In Nampa, a higher percentage report poor mental health at 16.8% compared to 12.9% in South san francisco.
- Higher depression rates are seen in Nampa at 24.0% versus 13.7% in South san francisco.
- Nampa has a higher smoking rate at 17.6% compared to 9.3% in South san francisco.
- More residents engage in binge drinking in Nampa at 15.2% compared to 14.5% in South san francisco.
- Nampa has higher obesity rates at 36.7% compared to 21.9% in South san francisco.
- There is a higher percentage of disabled individuals in Nampa at 14.0% compared to 10.0% in South san francisco.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | South san francisco | Nampa |
|---|---|---|
| No Schooling | 2.5% (1,583) | 0.9% (1,011) |
| High School Diploma | 13.7% (8,667) | 14.8% (16,423) |
| Less than High School | 14.8% (9,368) | 14.3% (15,852) |
| Bachelor's Degree and Higher | 30.4% (19,273) | 12.6% (13,951) |
Education Levels Comparison: South san francisco vs Nampa
- A higher percentage of residents in South san francisco have no formal schooling at 2.5% compared to 0.9% in Nampa.
- In Nampa, the rate of residents with high school diplomas is higher at 14.8% compared to 13.7% in South san francisco.
- More residents in South san francisco have less than a high school education at 14.8% compared to 14.3% in Nampa.
- A higher percentage of residents in South san francisco hold a bachelor's degree or higher at 30.4% compared to 12.6% in Nampa.
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.