Demographics details for Sidney, MI vs Mountain view, CA
Population Overview
Compare main population characteristics in Sidney, MI vs Mountain view, CA.
Data | Sidney | Mountain view |
---|---|---|
Population | 2,566 | 81,059 |
Median Age | 53.3 years | 35.5 years |
Median Income | $59,837 | $174,156 |
Married Families | 48.0% | 43.0% |
Poverty Level | 9% | 6% |
Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Sidney vs Mountain view
- The population in Mountain view is higher at 81,059, compared to 2,566 in Sidney.
- Residents in Sidney have a higher median age of 53.3 years compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156, compared to $59,837 in Sidney.
- A higher percentage of married families is found in Sidney at 48.0% compared to 43.0% in Mountain view.
- Sidney has a higher poverty level at 9% compared to 6% in Mountain view.
- The unemployment rate in Sidney is higher at 4.5%, compared to 3.2% in Mountain view.
Demographics
Demographics Sidney vs Mountain view provide insight into the diversity of the communities to compare.
Demographic | Sidney | Mountain view |
---|---|---|
Black | Data is updating | 2 |
White | 95 | 32 |
Asian | Data is updating | 34 |
Hispanic | 2 | 19 |
Two or More Races | 3 | 12 |
American Indian | Data is updating | 1 |
Demographics Comparison: Sidney vs Mountain view
- In Mountain view, the percentage of Black residents is higher at 2% compared to 0% in Sidney.
- Sidney has a higher percentage of White residents at 95% compared to 32% in Mountain view.
- In Mountain view, the Asian population stands at 34%, greater than 0% in Sidney.
- Mountain view has a higher percentage of Hispanic residents at 19%, compared to 2% in Sidney.
- The percentage of residents identifying as two or more races is higher in Mountain view at 12%, compared to 3% in Sidney.
- In Mountain view, the percentage of American Indian residents is higher at 1%, compared to 0% in Sidney.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sidney | Mountain view |
---|---|---|
Mental Health Not Good | Data is updating% | 11.7% |
Physical Health Not Good | Data is updating% | 7.1% |
Depression | Data is updating% | 14.7% |
Smoking | Data is updating% | 6.5% |
Binge Drinking | Data is updating% | 14.9% |
Obesity | Data is updating% | 19.1% |
Disability Percentage | 17.0% | 6.0% |
Health Statistics Comparison: Sidney vs Mountain view
- In Mountain view, a higher percentage report poor mental health at 11.7% compared to 0.0% in Sidney.
- Higher depression rates are seen in Mountain view at 14.7% versus 0.0% in Sidney.
- Mountain view has a higher smoking rate at 6.5% compared to 0.0% in Sidney.
- More residents engage in binge drinking in Mountain view at 14.9% compared to 0.0% in Sidney.
- Mountain view has higher obesity rates at 19.1% compared to 0.0% in Sidney.
- Disability percentages are higher in Sidney at 17.0% 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 | Sidney | Mountain view |
---|---|---|
No Schooling | 1.4% (36) | 1.0% (826) |
High School Diploma | 24.1% (618) | 4.9% (3,963) |
Less than High School | 20.8% (534) | 7.1% (5,739) |
Bachelor's Degree and Higher | 8.8% (226) | 54.5% (44,174) |
Education Levels Comparison: Sidney vs Mountain view
- A higher percentage of residents in Sidney have no formal schooling at 1.4% compared to 1.0% in Mountain view.
- A higher percentage of residents in Sidney hold a high school diploma at 24.1% compared to 4.9% in Mountain view.
- More residents in Sidney have less than a high school education at 20.8% 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 8.8% in Sidney.
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.