Demographics details for Santa paula, CA vs Lewis, NY
Population Overview
Compare main population characteristics in Santa paula, CA vs Lewis, NY.
Data | Santa paula | Lewis |
---|---|---|
Population | 31,018 | 26,699 |
Median Age | 34.6 years | 42.0 years |
Median Income | $72,014 | $64,401 |
Married Families | 36.0% | 44.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 5.6 | 3.5 |
Population Comparison: Santa paula vs Lewis
- In Santa paula, the population is higher at 31,018, compared to 26,699 in Lewis.
- The median age in Lewis is higher at 42.0 years, compared to 34.6 years in Santa paula.
- Santa paula has a higher median income of $72,014 compared to $64,401 in Lewis.
- In Lewis, the percentage of married families is higher at 44.0%, compared to 36.0% in Santa paula.
- Santa paula has a higher poverty level at 15% compared to 12% in Lewis.
- The unemployment rate in Santa paula is higher at 5.6%, compared to 3.5% in Lewis.
Demographics
Demographics Santa paula vs Lewis provide insight into the diversity of the communities to compare.
Demographic | Santa paula | Lewis |
---|---|---|
Black | 1 | 1 |
White | 2 | 94 |
Asian | 1 | Data is updating |
Hispanic | 81 | 2 |
Two or More Races | 13 | 3 |
American Indian | 2 | Data is updating |
Demographics Comparison: Santa paula vs Lewis
- The percentage of Black residents is the same in both Santa paula and Lewis at 1%.
- The percentage of White residents is higher in Lewis at 94% compared to 2% in Santa paula.
- The Asian population is larger in Santa paula at 1% compared to 0% in Lewis.
- The Hispanic community is larger in Santa paula at 81% compared to 2% in Lewis.
- More residents identify as two or more races in Santa paula at 13% compared to 3% in Lewis.
- A greater percentage of American Indian residents live in Santa paula at 2% compared to 0% in Lewis.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa paula | Lewis |
---|---|---|
Mental Health Not Good | 16.2% | 16.0% |
Physical Health Not Good | 13.5% | 11.3% |
Depression | 17.9% | 22.7% |
Smoking | 13.4% | 19.1% |
Binge Drinking | 15.6% | 19.1% |
Obesity | 31.5% | 43.0% |
Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Santa paula vs Lewis
- More residents in Santa paula report poor mental health at 16.2% compared to 16.0% in Lewis.
- Higher depression rates are seen in Lewis at 22.7% versus 17.9% in Santa paula.
- Lewis has a higher smoking rate at 19.1% compared to 13.4% in Santa paula.
- More residents engage in binge drinking in Lewis at 19.1% compared to 15.6% in Santa paula.
- Lewis has higher obesity rates at 43.0% compared to 31.5% in Santa paula.
- There is a higher percentage of disabled individuals in Lewis 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 | Lewis |
---|---|---|
No Schooling | 2.9% (907) | 0.8% (209) |
High School Diploma | 12.8% (3,980) | 26.5% (7,082) |
Less than High School | 43.7% (13,547) | 11.8% (3,156) |
Bachelor's Degree and Higher | 8.6% (2,653) | 13.3% (3,550) |
Education Levels Comparison: Santa paula vs Lewis
- A higher percentage of residents in Santa paula have no formal schooling at 2.9% compared to 0.8% in Lewis.
- In Lewis, the rate of residents with high school diplomas is higher at 26.5% compared to 12.8% in Santa paula.
- More residents in Santa paula have less than a high school education at 43.7% compared to 11.8% in Lewis.
- In Lewis, a larger share of residents have a bachelor's degree or higher at 13.3% 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.