Demographics details for Mountain view, CA vs Lorida, FL
Population Overview
Compare main population characteristics in Mountain view, CA vs Lorida, FL.
Data | Mountain view | Lorida |
---|---|---|
Population | 81,059 | 500 |
Median Age | 35.5 years | 50.0 years |
Median Income | $174,156 | $60,000 |
Married Families | 43.0% | 80.0% |
Poverty Level | 6% | 12% |
Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Mountain view vs Lorida
- In Mountain view, the population is higher at 81,059, compared to 500 in Lorida.
- The median age in Lorida is higher at 50.0 years, compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156 compared to $60,000 in Lorida.
- In Lorida, the percentage of married families is higher at 80.0%, compared to 43.0% in Mountain view.
- The poverty level is higher in Lorida at 12%, compared to 6% in Mountain view.
- Lorida has a higher unemployment rate at 5.0% compared to 3.2% in Mountain view.
Demographics
Demographics Mountain view vs Lorida provide insight into the diversity of the communities to compare.
Demographic | Mountain view | Lorida |
---|---|---|
Black | 2 | 2 |
White | 32 | 95 |
Asian | 34 | 1 |
Hispanic | 19 | 2 |
Two or More Races | 12 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Mountain view vs Lorida
- The percentage of Black residents is the same in both Mountain view and Lorida at 2%.
- The percentage of White residents is higher in Lorida at 95% compared to 32% in Mountain view.
- The Asian population is larger in Mountain view at 34% compared to 1% in Lorida.
- The Hispanic community is larger in Mountain view at 19% compared to 2% in Lorida.
- More residents identify as two or more races in Mountain view at 12% compared to 0% in Lorida.
- A greater percentage of American Indian residents live in Mountain view at 1% compared to 0% in Lorida.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mountain view | Lorida |
---|---|---|
Mental Health Not Good | 11.7% | Data is updating% |
Physical Health Not Good | 7.1% | Data is updating% |
Depression | 14.7% | Data is updating% |
Smoking | 6.5% | Data is updating% |
Binge Drinking | 14.9% | Data is updating% |
Obesity | 19.1% | Data is updating% |
Disability Percentage | 6.0% | Data is updating% |
Health Statistics Comparison: Mountain view vs Lorida
- More residents in Mountain view report poor mental health at 11.7% compared to 0.0% in Lorida.
- Depression is more prevalent in Mountain view at 14.7% compared to 0.0% in Lorida.
- Smoking is more prevalent in Mountain view at 6.5% compared to 0.0% in Lorida.
- Binge drinking is more common in Mountain view at 14.9% compared to 0.0% in Lorida.
- Obesity rates are higher in Mountain view at 19.1% compared to 0.0% in Lorida.
- Disability percentages are higher in Mountain view at 6.0% compared to 0.0% in Lorida.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mountain view | Lorida |
---|---|---|
No Schooling | 1.0% (826) | 0.0% (Data is updating) |
High School Diploma | 4.9% (3,963) | 0.0% (Data is updating) |
Less than High School | 7.1% (5,739) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 54.5% (44,174) | 0.0% (Data is updating) |
Education Levels Comparison: Mountain view vs Lorida
- A higher percentage of residents in Mountain view have no formal schooling at 1.0% compared to 0.0% in Lorida.
- A higher percentage of residents in Mountain view hold a high school diploma at 4.9% compared to 0.0% in Lorida.
- More residents in Mountain view have less than a high school education at 7.1% compared to 0.0% in Lorida.
- A higher percentage of residents in Mountain view hold a bachelor's degree or higher at 54.5% compared to 0.0% in Lorida.
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.