Demographics details for Wykoff, MN vs Santa barbara, CA
Population Overview
Compare main population characteristics in Wykoff, MN vs Santa barbara, CA.
Data | Wykoff | Santa barbara |
---|---|---|
Population | 433 | 87,533 |
Median Age | 37.3 years | 39.6 years |
Median Income | $64,000 | $98,346 |
Married Families | 37.0% | 36.0% |
Poverty Level | 6% | 14% |
Unemployment Rate | 4.5 | 3.4 |
Population Comparison: Wykoff vs Santa barbara
- The population in Santa barbara is higher at 87,533, compared to 433 in Wykoff.
- The median age in Santa barbara is higher at 39.6 years, compared to 37.3 years in Wykoff.
- Santa barbara has a higher median income of $98,346, compared to $64,000 in Wykoff.
- A higher percentage of married families is found in Wykoff at 37.0% compared to 36.0% in Santa barbara.
- The poverty level is higher in Santa barbara at 14%, compared to 6% in Wykoff.
- The unemployment rate in Wykoff is higher at 4.5%, compared to 3.4% in Santa barbara.
Demographics
Demographics Wykoff vs Santa barbara provide insight into the diversity of the communities to compare.
Demographic | Wykoff | Santa barbara |
---|---|---|
Black | Data is updating | 1 |
White | 91 | 44 |
Asian | Data is updating | 4 |
Hispanic | 9 | 37 |
Two or More Races | Data is updating | 13 |
American Indian | Data is updating | 1 |
Demographics Comparison: Wykoff vs Santa barbara
- In Santa barbara, the percentage of Black residents is higher at 1% compared to 0% in Wykoff.
- Wykoff has a higher percentage of White residents at 91% compared to 44% in Santa barbara.
- In Santa barbara, the Asian population stands at 4%, greater than 0% in Wykoff.
- Santa barbara has a higher percentage of Hispanic residents at 37%, compared to 9% in Wykoff.
- The percentage of residents identifying as two or more races is higher in Santa barbara at 13%, compared to 0% in Wykoff.
- In Santa barbara, the percentage of American Indian residents is higher at 1%, compared to 0% in Wykoff.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wykoff | Santa barbara |
---|---|---|
Mental Health Not Good | 14.4% | 14.8% |
Physical Health Not Good | 8.6% | 10.1% |
Depression | 22.6% | 19.2% |
Smoking | 16.7% | 10.8% |
Binge Drinking | 21.2% | 16.9% |
Obesity | 32.5% | 28.5% |
Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Wykoff vs Santa barbara
- In Santa barbara, a higher percentage report poor mental health at 14.8% compared to 14.4% in Wykoff.
- Depression is more prevalent in Wykoff at 22.6% compared to 19.2% in Santa barbara.
- Smoking is more prevalent in Wykoff at 16.7% compared to 10.8% in Santa barbara.
- Binge drinking is more common in Wykoff at 21.2% compared to 16.9% in Santa barbara.
- Obesity rates are higher in Wykoff at 32.5% compared to 28.5% in Santa barbara.
- Disability percentages are higher in Wykoff at 12.0% compared to 10.0% in Santa barbara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wykoff | Santa barbara |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.5% (1,334) |
High School Diploma | 22.4% (97) | 7.5% (6,587) |
Less than High School | 12.0% (52) | 16.0% (13,982) |
Bachelor's Degree and Higher | 11.5% (50) | 36.6% (32,079) |
Education Levels Comparison: Wykoff vs Santa barbara
- In Santa barbara, a larger percentage of residents lack formal schooling at 1.5% compared to 0.0% in Wykoff.
- A higher percentage of residents in Wykoff hold a high school diploma at 22.4% compared to 7.5% in Santa barbara.
- The percentage of residents with less than a high school education is higher in Santa barbara at 16.0%, compared to 12.0% in Wykoff.
- In Santa barbara, a larger share of residents have a bachelor's degree or higher at 36.6% compared to 11.5% in Wykoff.
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.