Demographics details for Santa rosa, CA vs Viborg, SD
Population Overview
Compare main population characteristics in Santa rosa, CA vs Viborg, SD.
Data | Santa rosa | Viborg |
---|---|---|
Population | 177,181 | 824 |
Median Age | 40.4 years | 50.3 years |
Median Income | $92,604 | $46,316 |
Married Families | 39.0% | 31.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Santa rosa vs Viborg
- In Santa rosa, the population is higher at 177,181, compared to 824 in Viborg.
- The median age in Viborg is higher at 50.3 years, compared to 40.4 years in Santa rosa.
- Santa rosa has a higher median income of $92,604 compared to $46,316 in Viborg.
- A higher percentage of married families is found in Santa rosa at 39.0% compared to 31.0% in Viborg.
- The poverty level is higher in Viborg at 12%, compared to 10% in Santa rosa.
- The unemployment rate in Santa rosa is higher at 4.2%, compared to 3.2% in Viborg.
Demographics
Demographics Santa rosa vs Viborg provide insight into the diversity of the communities to compare.
Demographic | Santa rosa | Viborg |
---|---|---|
Black | 2 | Data is updating |
White | 46 | 91 |
Asian | 6 | Data is updating |
Hispanic | 34 | 4 |
Two or More Races | 11 | 4 |
American Indian | 1 | 1 |
Demographics Comparison: Santa rosa vs Viborg
- A higher percentage of Black residents are in Santa rosa at 2% compared to 0% in Viborg.
- The percentage of White residents is higher in Viborg at 91% compared to 46% in Santa rosa.
- The Asian population is larger in Santa rosa at 6% compared to 0% in Viborg.
- The Hispanic community is larger in Santa rosa at 34% compared to 4% in Viborg.
- More residents identify as two or more races in Santa rosa at 11% compared to 4% in Viborg.
- The percentage of American Indian residents is the same in both Santa rosa and Viborg at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa rosa | Viborg |
---|---|---|
Mental Health Not Good | 16.0% | 13.8% |
Physical Health Not Good | 10.5% | 9.5% |
Depression | 20.3% | 18.1% |
Smoking | 12.0% | 17.4% |
Binge Drinking | 19.4% | 20.1% |
Obesity | 29.1% | 35.2% |
Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Santa rosa vs Viborg
- More residents in Santa rosa report poor mental health at 16.0% compared to 13.8% in Viborg.
- Depression is more prevalent in Santa rosa at 20.3% compared to 18.1% in Viborg.
- Viborg has a higher smoking rate at 17.4% compared to 12.0% in Santa rosa.
- More residents engage in binge drinking in Viborg at 20.1% compared to 19.4% in Santa rosa.
- Viborg has higher obesity rates at 35.2% compared to 29.1% in Santa rosa.
- Disability percentages are the same in both Santa rosa and Viborg at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Santa rosa | Viborg |
---|---|---|
No Schooling | 2.1% (3,760) | 0.0% (Data is updating) |
High School Diploma | 10.9% (19,354) | 22.8% (188) |
Less than High School | 19.8% (35,085) | 14.2% (117) |
Bachelor's Degree and Higher | 24.9% (44,058) | 14.6% (120) |
Education Levels Comparison: Santa rosa vs Viborg
- A higher percentage of residents in Santa rosa have no formal schooling at 2.1% compared to 0.0% in Viborg.
- In Viborg, the rate of residents with high school diplomas is higher at 22.8% compared to 10.9% in Santa rosa.
- More residents in Santa rosa have less than a high school education at 19.8% compared to 14.2% in Viborg.
- A higher percentage of residents in Santa rosa hold a bachelor's degree or higher at 24.9% compared to 14.6% in Viborg.
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.