Demographics details for Santa paula, CA vs Olcott, NY
Population Overview
Compare main population characteristics in Santa paula, CA vs Olcott, NY.
| Data | Santa paula | Olcott |
|---|---|---|
| Population | 31,018 | 1,041 |
| Median Age | 34.6 years | 47.1 years |
| Median Income | $72,014 | $70,606 |
| Married Families | 36.0% | 29.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 5.6 | 4.5 |
Population Comparison: Santa paula vs Olcott
- In Santa paula, the population is higher at 31,018, compared to 1,041 in Olcott.
- The median age in Olcott is higher at 47.1 years, compared to 34.6 years in Santa paula.
- Santa paula has a higher median income of $72,014 compared to $70,606 in Olcott.
- A higher percentage of married families is found in Santa paula at 36.0% compared to 29.0% in Olcott.
- Santa paula has a higher poverty level at 15% compared to 10% in Olcott.
- The unemployment rate in Santa paula is higher at 5.6%, compared to 4.5% in Olcott.
Demographics
Demographics Santa paula vs Olcott provide insight into the diversity of the communities to compare.
| Demographic | Santa paula | Olcott |
|---|---|---|
| Black | 1 | Data is updating |
| White | 2 | 99 |
| Asian | 1 | Data is updating |
| Hispanic | 81 | 1 |
| Two or More Races | 13 | Data is updating |
| American Indian | 2 | Data is updating |
Demographics Comparison: Santa paula vs Olcott
- A higher percentage of Black residents are in Santa paula at 1% compared to 0% in Olcott.
- The percentage of White residents is higher in Olcott at 99% compared to 2% in Santa paula.
- The Asian population is larger in Santa paula at 1% compared to 0% in Olcott.
- The Hispanic community is larger in Santa paula at 81% compared to 1% in Olcott.
- More residents identify as two or more races in Santa paula at 13% compared to 0% in Olcott.
- A greater percentage of American Indian residents live in Santa paula at 2% compared to 0% in Olcott.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa paula | Olcott |
|---|---|---|
| Mental Health Not Good | 16.2% | 17.6% |
| Physical Health Not Good | 13.5% | 11.6% |
| Depression | 17.9% | 26.7% |
| Smoking | 13.4% | 22.8% |
| Binge Drinking | 15.6% | 18.4% |
| Obesity | 31.5% | 35.9% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Santa paula vs Olcott
- In Olcott, a higher percentage report poor mental health at 17.6% compared to 16.2% in Santa paula.
- Higher depression rates are seen in Olcott at 26.7% versus 17.9% in Santa paula.
- Olcott has a higher smoking rate at 22.8% compared to 13.4% in Santa paula.
- More residents engage in binge drinking in Olcott at 18.4% compared to 15.6% in Santa paula.
- Olcott has higher obesity rates at 35.9% compared to 31.5% in Santa paula.
- Disability percentages are higher in Santa paula at 12.0% compared to 11.0% in Olcott.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa paula | Olcott |
|---|---|---|
| No Schooling | 2.9% (907) | 0.0% (Data is updating) |
| High School Diploma | 12.8% (3,980) | 27.3% (284) |
| Less than High School | 43.7% (13,547) | 5.8% (60) |
| Bachelor's Degree and Higher | 8.6% (2,653) | 13.5% (141) |
Education Levels Comparison: Santa paula vs Olcott
- A higher percentage of residents in Santa paula have no formal schooling at 2.9% compared to 0.0% in Olcott.
- In Olcott, the rate of residents with high school diplomas is higher at 27.3% compared to 12.8% in Santa paula.
- More residents in Santa paula have less than a high school education at 43.7% compared to 5.8% in Olcott.
- In Olcott, a larger share of residents have a bachelor's degree or higher at 13.5% 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.