Demographics details for Santa paula, CA vs Springer, OK
Population Overview
Compare main population characteristics in Santa paula, CA vs Springer, OK.
| Data | Santa paula | Springer |
|---|---|---|
| Population | 31,018 | 694 |
| Median Age | 34.6 years | 30.3 years |
| Median Income | $72,014 | $51,630 |
| Married Families | 36.0% | 42.0% |
| Poverty Level | 15% | 17% |
| Unemployment Rate | 5.6 | 3.5 |
Population Comparison: Santa paula vs Springer
- In Santa paula, the population is higher at 31,018, compared to 694 in Springer.
- Residents in Santa paula have a higher median age of 34.6 years compared to 30.3 years in Springer.
- Santa paula has a higher median income of $72,014 compared to $51,630 in Springer.
- In Springer, the percentage of married families is higher at 42.0%, compared to 36.0% in Santa paula.
- The poverty level is higher in Springer at 17%, compared to 15% in Santa paula.
- The unemployment rate in Santa paula is higher at 5.6%, compared to 3.5% in Springer.
Demographics
Demographics Santa paula vs Springer provide insight into the diversity of the communities to compare.
| Demographic | Santa paula | Springer |
|---|---|---|
| Black | 1 | 5 |
| White | 2 | 54 |
| Asian | 1 | Data is updating |
| Hispanic | 81 | 7 |
| Two or More Races | 13 | 21 |
| American Indian | 2 | 13 |
Demographics Comparison: Santa paula vs Springer
- In Springer, the percentage of Black residents is higher at 5% compared to 1% in Santa paula.
- The percentage of White residents is higher in Springer at 54% compared to 2% in Santa paula.
- The Asian population is larger in Santa paula at 1% compared to 0% in Springer.
- The Hispanic community is larger in Santa paula at 81% compared to 7% in Springer.
- The percentage of residents identifying as two or more races is higher in Springer at 21%, compared to 13% in Santa paula.
- In Springer, the percentage of American Indian residents is higher at 13%, compared to 2% in Santa paula.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa paula | Springer |
|---|---|---|
| Mental Health Not Good | 16.2% | 18.7% |
| Physical Health Not Good | 13.5% | 12.6% |
| Depression | 17.9% | 26.0% |
| Smoking | 13.4% | 20.5% |
| Binge Drinking | 15.6% | 15.6% |
| Obesity | 31.5% | 39.9% |
| Disability Percentage | 12.0% | 29.0% |
Health Statistics Comparison: Santa paula vs Springer
- In Springer, a higher percentage report poor mental health at 18.7% compared to 16.2% in Santa paula.
- Higher depression rates are seen in Springer at 26.0% versus 17.9% in Santa paula.
- Springer has a higher smoking rate at 20.5% compared to 13.4% in Santa paula.
- Binge drinking rates are similar in both Santa paula and Springer at 15.6%.
- Springer has higher obesity rates at 39.9% compared to 31.5% in Santa paula.
- There is a higher percentage of disabled individuals in Springer at 29.0% 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 | Springer |
|---|---|---|
| No Schooling | 2.9% (907) | 0.0% (Data is updating) |
| High School Diploma | 12.8% (3,980) | 19.2% (133) |
| Less than High School | 43.7% (13,547) | 19.6% (136) |
| Bachelor's Degree and Higher | 8.6% (2,653) | 9.4% (65) |
Education Levels Comparison: Santa paula vs Springer
- A higher percentage of residents in Santa paula have no formal schooling at 2.9% compared to 0.0% in Springer.
- In Springer, the rate of residents with high school diplomas is higher at 19.2% compared to 12.8% in Santa paula.
- More residents in Santa paula have less than a high school education at 43.7% compared to 19.6% in Springer.
- In Springer, a larger share of residents have a bachelor's degree or higher at 9.4% 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.