Demographics details for Panama, OK vs Santa clara, CA
Population Overview
Compare main population characteristics in Panama, OK vs Santa clara, CA.
| Data | Panama | Santa clara |
|---|---|---|
| Population | 1,284 | 126,930 |
| Median Age | 32.4 years | 34.5 years |
| Median Income | $44,397 | $165,352 |
| Married Families | 34.0% | 45.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 3.5 | 3.9 |
Population Comparison: Panama vs Santa clara
- The population in Santa clara is higher at 126,930, compared to 1,284 in Panama.
- The median age in Santa clara is higher at 34.5 years, compared to 32.4 years in Panama.
- Santa clara has a higher median income of $165,352, compared to $44,397 in Panama.
- In Santa clara, the percentage of married families is higher at 45.0%, compared to 34.0% in Panama.
- Panama has a higher poverty level at 12% compared to 8% in Santa clara.
- Santa clara has a higher unemployment rate at 3.9% compared to 3.5% in Panama.
Demographics
Demographics Panama vs Santa clara provide insight into the diversity of the communities to compare.
| Demographic | Panama | Santa clara |
|---|---|---|
| Black | Data is updating | 2 |
| White | 68 | 27 |
| Asian | 2 | 48 |
| Hispanic | 3 | 15 |
| Two or More Races | 19 | 8 |
| American Indian | 8 | Data is updating |
Demographics Comparison: Panama vs Santa clara
- In Santa clara, the percentage of Black residents is higher at 2% compared to 0% in Panama.
- Panama has a higher percentage of White residents at 68% compared to 27% in Santa clara.
- In Santa clara, the Asian population stands at 48%, greater than 2% in Panama.
- Santa clara has a higher percentage of Hispanic residents at 15%, compared to 3% in Panama.
- More residents identify as two or more races in Panama at 19% compared to 8% in Santa clara.
- A greater percentage of American Indian residents live in Panama at 8% compared to 0% in Santa clara.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Panama | Santa clara |
|---|---|---|
| Mental Health Not Good | 21.1% | 12.0% |
| Physical Health Not Good | 15.3% | 7.4% |
| Depression | 27.3% | 14.2% |
| Smoking | 25.1% | 7.1% |
| Binge Drinking | 14.1% | 13.9% |
| Obesity | 42.5% | 18.6% |
| Disability Percentage | 22.0% | 7.0% |
Health Statistics Comparison: Panama vs Santa clara
- More residents in Panama report poor mental health at 21.1% compared to 12.0% in Santa clara.
- Depression is more prevalent in Panama at 27.3% compared to 14.2% in Santa clara.
- Smoking is more prevalent in Panama at 25.1% compared to 7.1% in Santa clara.
- Binge drinking is more common in Panama at 14.1% compared to 13.9% in Santa clara.
- Obesity rates are higher in Panama at 42.5% compared to 18.6% in Santa clara.
- Disability percentages are higher in Panama at 22.0% compared to 7.0% in Santa clara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Panama | Santa clara |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (1,134) |
| High School Diploma | 29.5% (379) | 7.3% (9,232) |
| Less than High School | 13.6% (175) | 7.1% (8,967) |
| Bachelor's Degree and Higher | 4.4% (56) | 46.5% (58,962) |
Education Levels Comparison: Panama vs Santa clara
- In Santa clara, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Panama.
- A higher percentage of residents in Panama hold a high school diploma at 29.5% compared to 7.3% in Santa clara.
- More residents in Panama have less than a high school education at 13.6% compared to 7.1% in Santa clara.
- In Santa clara, a larger share of residents have a bachelor's degree or higher at 46.5% compared to 4.4% in Panama.
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.