Demographics details for Lake elsinore, CA vs Otto, NC
Population Overview
Compare main population characteristics in Lake elsinore, CA vs Otto, NC.
Data | Lake elsinore | Otto |
---|---|---|
Population | 71,898 | 1,000 |
Median Age | 32.5 years | 45.0 years |
Median Income | $89,788 | $50,000 |
Married Families | 38.0% | 300.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 5.6 | 4.5 |
Population Comparison: Lake elsinore vs Otto
- In Lake elsinore, the population is higher at 71,898, compared to 1,000 in Otto.
- The median age in Otto is higher at 45.0 years, compared to 32.5 years in Lake elsinore.
- Lake elsinore has a higher median income of $89,788 compared to $50,000 in Otto.
- In Otto, the percentage of married families is higher at 300.0%, compared to 38.0% in Lake elsinore.
- The poverty level is identical in both Lake elsinore and Otto at 12%.
- The unemployment rate in Lake elsinore is higher at 5.6%, compared to 4.5% in Otto.
Demographics
Demographics Lake elsinore vs Otto provide insight into the diversity of the communities to compare.
Demographic | Lake elsinore | Otto |
---|---|---|
Black | 6 | 5 |
White | 20 | 95 |
Asian | 7 | Data is updating |
Hispanic | 51 | Data is updating |
Two or More Races | 15 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Lake elsinore vs Otto
- A higher percentage of Black residents are in Lake elsinore at 6% compared to 5% in Otto.
- The percentage of White residents is higher in Otto at 95% compared to 20% in Lake elsinore.
- The Asian population is larger in Lake elsinore at 7% compared to 0% in Otto.
- The Hispanic community is larger in Lake elsinore at 51% compared to 0% in Otto.
- More residents identify as two or more races in Lake elsinore at 15% compared to 0% in Otto.
- A greater percentage of American Indian residents live in Lake elsinore at 1% compared to 0% in Otto.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lake elsinore | Otto |
---|---|---|
Mental Health Not Good | 16.7% | Data is updating% |
Physical Health Not Good | 12.4% | Data is updating% |
Depression | 17.8% | Data is updating% |
Smoking | 14.4% | Data is updating% |
Binge Drinking | 16.3% | Data is updating% |
Obesity | 36.9% | Data is updating% |
Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Lake elsinore vs Otto
- More residents in Lake elsinore report poor mental health at 16.7% compared to 0.0% in Otto.
- Depression is more prevalent in Lake elsinore at 17.8% compared to 0.0% in Otto.
- Smoking is more prevalent in Lake elsinore at 14.4% compared to 0.0% in Otto.
- Binge drinking is more common in Lake elsinore at 16.3% compared to 0.0% in Otto.
- Obesity rates are higher in Lake elsinore at 36.9% compared to 0.0% in Otto.
- Disability percentages are higher in Lake elsinore at 8.0% compared to 0.0% in Otto.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lake elsinore | Otto |
---|---|---|
No Schooling | 2.8% (1,999) | 0.0% (Data is updating) |
High School Diploma | 14.2% (10,196) | 0.0% (Data is updating) |
Less than High School | 19.2% (13,837) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 13.5% (9,722) | 0.0% (Data is updating) |
Education Levels Comparison: Lake elsinore vs Otto
- A higher percentage of residents in Lake elsinore have no formal schooling at 2.8% compared to 0.0% in Otto.
- A higher percentage of residents in Lake elsinore hold a high school diploma at 14.2% compared to 0.0% in Otto.
- More residents in Lake elsinore have less than a high school education at 19.2% compared to 0.0% in Otto.
- A higher percentage of residents in Lake elsinore hold a bachelor's degree or higher at 13.5% compared to 0.0% in Otto.
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.