Demographics details for Rudd, IA vs Mountain view, CA
Population Overview
Compare main population characteristics in Rudd, IA vs Mountain view, CA.
| Data | Rudd | Mountain view |
|---|---|---|
| Population | 348 | 81,059 |
| Median Age | 37.3 years | 35.5 years |
| Median Income | $70,375 | $174,156 |
| Married Families | 51.0% | 43.0% |
| Poverty Level | Data is updating | 6% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Rudd vs Mountain view
- The population in Mountain view is higher at 81,059, compared to 348 in Rudd.
- Residents in Rudd have a higher median age of 37.3 years compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156, compared to $70,375 in Rudd.
- A higher percentage of married families is found in Rudd at 51.0% compared to 43.0% in Mountain view.
- The poverty level is higher in Mountain view at 6%, compared to 0% in Rudd.
- The unemployment rate is the same in both Rudd and Mountain view at 3.2%.
Demographics
Demographics Rudd vs Mountain view provide insight into the diversity of the communities to compare.
| Demographic | Rudd | Mountain view |
|---|---|---|
| Black | Data is updating | 2 |
| White | 98 | 32 |
| Asian | 1 | 34 |
| Hispanic | Data is updating | 19 |
| Two or More Races | 1 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Rudd vs Mountain view
- In Mountain view, the percentage of Black residents is higher at 2% compared to 0% in Rudd.
- Rudd has a higher percentage of White residents at 98% compared to 32% in Mountain view.
- In Mountain view, the Asian population stands at 34%, greater than 1% in Rudd.
- Mountain view has a higher percentage of Hispanic residents at 19%, compared to 0% in Rudd.
- The percentage of residents identifying as two or more races is higher in Mountain view at 12%, compared to 1% in Rudd.
- In Mountain view, the percentage of American Indian residents is higher at 1%, compared to 0% in Rudd.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rudd | Mountain view |
|---|---|---|
| Mental Health Not Good | 14.7% | 11.7% |
| Physical Health Not Good | 9.2% | 7.1% |
| Depression | 18.0% | 14.7% |
| Smoking | 16.8% | 6.5% |
| Binge Drinking | 23.0% | 14.9% |
| Obesity | 37.3% | 19.1% |
| Disability Percentage | 19.0% | 6.0% |
Health Statistics Comparison: Rudd vs Mountain view
- More residents in Rudd report poor mental health at 14.7% compared to 11.7% in Mountain view.
- Depression is more prevalent in Rudd at 18.0% compared to 14.7% in Mountain view.
- Smoking is more prevalent in Rudd at 16.8% compared to 6.5% in Mountain view.
- Binge drinking is more common in Rudd at 23.0% compared to 14.9% in Mountain view.
- Obesity rates are higher in Rudd at 37.3% compared to 19.1% in Mountain view.
- Disability percentages are higher in Rudd at 19.0% compared to 6.0% in Mountain view.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rudd | Mountain view |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (826) |
| High School Diploma | 33.0% (115) | 4.9% (3,963) |
| Less than High School | 16.7% (58) | 7.1% (5,739) |
| Bachelor's Degree and Higher | 9.5% (33) | 54.5% (44,174) |
Education Levels Comparison: Rudd vs Mountain view
- In Mountain view, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Rudd.
- A higher percentage of residents in Rudd hold a high school diploma at 33.0% compared to 4.9% in Mountain view.
- More residents in Rudd have less than a high school education at 16.7% compared to 7.1% in Mountain view.
- In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% compared to 9.5% in Rudd.
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.