Demographics details for Santa paula, CA vs Webster, SD
Population Overview
Compare main population characteristics in Santa paula, CA vs Webster, SD.
| Data | Santa paula | Webster |
|---|---|---|
| Population | 31,018 | 1,714 |
| Median Age | 34.6 years | 42.8 years |
| Median Income | $72,014 | $50,500 |
| Married Families | 36.0% | 34.0% |
| Poverty Level | 15% | 9% |
| Unemployment Rate | 5.6 | 3.2 |
Population Comparison: Santa paula vs Webster
- In Santa paula, the population is higher at 31,018, compared to 1,714 in Webster.
- The median age in Webster is higher at 42.8 years, compared to 34.6 years in Santa paula.
- Santa paula has a higher median income of $72,014 compared to $50,500 in Webster.
- A higher percentage of married families is found in Santa paula at 36.0% compared to 34.0% in Webster.
- Santa paula has a higher poverty level at 15% compared to 9% in Webster.
- The unemployment rate in Santa paula is higher at 5.6%, compared to 3.2% in Webster.
Demographics
Demographics Santa paula vs Webster provide insight into the diversity of the communities to compare.
| Demographic | Santa paula | Webster |
|---|---|---|
| Black | 1 | Data is updating |
| White | 2 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 81 | 3 |
| Two or More Races | 13 | 1 |
| American Indian | 2 | 2 |
Demographics Comparison: Santa paula vs Webster
- A higher percentage of Black residents are in Santa paula at 1% compared to 0% in Webster.
- The percentage of White residents is higher in Webster at 94% compared to 2% in Santa paula.
- The Asian population is larger in Santa paula at 1% compared to 0% in Webster.
- The Hispanic community is larger in Santa paula at 81% compared to 3% in Webster.
- More residents identify as two or more races in Santa paula at 13% compared to 1% in Webster.
- The percentage of American Indian residents is the same in both Santa paula and Webster at 2%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa paula | Webster |
|---|---|---|
| Mental Health Not Good | 16.2% | 14.7% |
| Physical Health Not Good | 13.5% | 10.6% |
| Depression | 17.9% | 18.7% |
| Smoking | 13.4% | 20.1% |
| Binge Drinking | 15.6% | 20.1% |
| Obesity | 31.5% | 39.0% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Santa paula vs Webster
- More residents in Santa paula report poor mental health at 16.2% compared to 14.7% in Webster.
- Higher depression rates are seen in Webster at 18.7% versus 17.9% in Santa paula.
- Webster has a higher smoking rate at 20.1% compared to 13.4% in Santa paula.
- More residents engage in binge drinking in Webster at 20.1% compared to 15.6% in Santa paula.
- Webster has higher obesity rates at 39.0% compared to 31.5% in Santa paula.
- There is a higher percentage of disabled individuals in Webster at 14.0% compared to 12.0% in Santa paula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa paula | Webster |
|---|---|---|
| No Schooling | 2.9% (907) | 0.0% (Data is updating) |
| High School Diploma | 12.8% (3,980) | 21.9% (375) |
| Less than High School | 43.7% (13,547) | 12.6% (216) |
| Bachelor's Degree and Higher | 8.6% (2,653) | 14.8% (253) |
Education Levels Comparison: Santa paula vs Webster
- A higher percentage of residents in Santa paula have no formal schooling at 2.9% compared to 0.0% in Webster.
- In Webster, the rate of residents with high school diplomas is higher at 21.9% compared to 12.8% in Santa paula.
- More residents in Santa paula have less than a high school education at 43.7% compared to 12.6% in Webster.
- In Webster, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 8.6% in Santa paula.
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.