Demographics details for Beaver dam, WI vs Santa clara, CA
Population Overview
Compare main population characteristics in Beaver dam, WI vs Santa clara, CA.
Data | Beaver dam | Santa clara |
---|---|---|
Population | 16,582 | 126,930 |
Median Age | 40.4 years | 34.5 years |
Median Income | $65,802 | $165,352 |
Married Families | 35.0% | 45.0% |
Poverty Level | Data is updating | 8% |
Unemployment Rate | 3.1 | 3.9 |
Population Comparison: Beaver dam vs Santa clara
- The population in Santa clara is higher at 126,930, compared to 16,582 in Beaver dam.
- Residents in Beaver dam have a higher median age of 40.4 years compared to 34.5 years in Santa clara.
- Santa clara has a higher median income of $165,352, compared to $65,802 in Beaver dam.
- In Santa clara, the percentage of married families is higher at 45.0%, compared to 35.0% in Beaver dam.
- The poverty level is higher in Santa clara at 8%, compared to 0% in Beaver dam.
- Santa clara has a higher unemployment rate at 3.9% compared to 3.1% in Beaver dam.
Demographics
Demographics Beaver dam vs Santa clara provide insight into the diversity of the communities to compare.
Demographic | Beaver dam | Santa clara |
---|---|---|
Black | 3 | 2 |
White | 81 | 27 |
Asian | 2 | 48 |
Hispanic | 8 | 15 |
Two or More Races | 6 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Beaver dam vs Santa clara
- A higher percentage of Black residents are in Beaver dam at 3% compared to 2% in Santa clara.
- Beaver dam has a higher percentage of White residents at 81% compared to 27% in Santa clara.
- In Santa clara, the Asian population stands at 48%, greater than 2% in Beaver dam.
- Santa clara has a higher percentage of Hispanic residents at 15%, compared to 8% in Beaver dam.
- The percentage of residents identifying as two or more races is higher in Santa clara at 8%, compared to 6% in Beaver dam.
- The percentage of American Indian residents is the same in both Beaver dam and Santa clara at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Beaver dam | Santa clara |
---|---|---|
Mental Health Not Good | 15.7% | 12.0% |
Physical Health Not Good | 10.6% | 7.4% |
Depression | 23.6% | 14.2% |
Smoking | 17.6% | 7.1% |
Binge Drinking | 23.5% | 13.9% |
Obesity | 36.6% | 18.6% |
Disability Percentage | 11.0% | 7.0% |
Health Statistics Comparison: Beaver dam vs Santa clara
- More residents in Beaver dam report poor mental health at 15.7% compared to 12.0% in Santa clara.
- Depression is more prevalent in Beaver dam at 23.6% compared to 14.2% in Santa clara.
- Smoking is more prevalent in Beaver dam at 17.6% compared to 7.1% in Santa clara.
- Binge drinking is more common in Beaver dam at 23.5% compared to 13.9% in Santa clara.
- Obesity rates are higher in Beaver dam at 36.6% compared to 18.6% in Santa clara.
- Disability percentages are higher in Beaver dam at 11.0% compared to 7.0% in Santa clara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Beaver dam | Santa clara |
---|---|---|
No Schooling | 0.3% (47) | 0.9% (1,134) |
High School Diploma | 23.8% (3,947) | 7.3% (9,232) |
Less than High School | 10.3% (1,706) | 7.1% (8,967) |
Bachelor's Degree and Higher | 18.2% (3,023) | 46.5% (58,962) |
Education Levels Comparison: Beaver dam vs Santa clara
- In Santa clara, a larger percentage of residents lack formal schooling at 0.9% compared to 0.3% in Beaver dam.
- A higher percentage of residents in Beaver dam hold a high school diploma at 23.8% compared to 7.3% in Santa clara.
- More residents in Beaver dam have less than a high school education at 10.3% compared to 7.1% in Santa clara.
- In Santa clara, a larger share of residents have a bachelor's degree or higher at 46.5% compared to 18.2% in Beaver dam.
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.