Demographics details for Big bear lake, CA vs Wiota, IA
Population Overview
Compare main population characteristics in Big bear lake, CA vs Wiota, IA.
Data | Big bear lake | Wiota |
---|---|---|
Population | 5,031 | 91 |
Median Age | 47.5 years | 70.0 years |
Median Income | $70,020 | $73,403 |
Married Families | 42.0% | 71.0% |
Poverty Level | 10% | Data is updating |
Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Big bear lake vs Wiota
- In Big bear lake, the population is higher at 5,031, compared to 91 in Wiota.
- The median age in Wiota is higher at 70.0 years, compared to 47.5 years in Big bear lake.
- Wiota has a higher median income of $73,403, compared to $70,020 in Big bear lake.
- In Wiota, the percentage of married families is higher at 71.0%, compared to 42.0% in Big bear lake.
- Big bear lake has a higher poverty level at 10% compared to 0% in Wiota.
- The unemployment rate in Big bear lake is higher at 5.0%, compared to 3.5% in Wiota.
Demographics
Demographics Big bear lake vs Wiota provide insight into the diversity of the communities to compare.
Demographic | Big bear lake | Wiota |
---|---|---|
Black | Data is updating | Data is updating |
White | 50 | 100 |
Asian | 3 | Data is updating |
Hispanic | 30 | Data is updating |
Two or More Races | 16 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Big bear lake vs Wiota
- The percentage of Black residents is the same in both Big bear lake and Wiota at 0%.
- The percentage of White residents is higher in Wiota at 100% compared to 50% in Big bear lake.
- The Asian population is larger in Big bear lake at 3% compared to 0% in Wiota.
- The Hispanic community is larger in Big bear lake at 30% compared to 0% in Wiota.
- More residents identify as two or more races in Big bear lake at 16% compared to 0% in Wiota.
- A greater percentage of American Indian residents live in Big bear lake at 1% compared to 0% in Wiota.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Big bear lake | Wiota |
---|---|---|
Mental Health Not Good | 17.4% | 15.3% |
Physical Health Not Good | 12.1% | 9.9% |
Depression | 20.5% | 18.3% |
Smoking | 14.1% | 18.7% |
Binge Drinking | 17.0% | 22.8% |
Obesity | 37.0% | 41.9% |
Disability Percentage | 9.0% | 27.0% |
Health Statistics Comparison: Big bear lake vs Wiota
- More residents in Big bear lake report poor mental health at 17.4% compared to 15.3% in Wiota.
- Depression is more prevalent in Big bear lake at 20.5% compared to 18.3% in Wiota.
- Wiota has a higher smoking rate at 18.7% compared to 14.1% in Big bear lake.
- More residents engage in binge drinking in Wiota at 22.8% compared to 17.0% in Big bear lake.
- Wiota has higher obesity rates at 41.9% compared to 37.0% in Big bear lake.
- There is a higher percentage of disabled individuals in Wiota at 27.0% compared to 9.0% in Big bear lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Big bear lake | Wiota |
---|---|---|
No Schooling | 0.7% (37) | 2.2% (2) |
High School Diploma | 16.4% (825) | 35.2% (32) |
Less than High School | 12.6% (634) | 4.4% (4) |
Bachelor's Degree and Higher | 25.7% (1,294) | 9.9% (9) |
Education Levels Comparison: Big bear lake vs Wiota
- In Wiota, a larger percentage of residents lack formal schooling at 2.2% compared to 0.7% in Big bear lake.
- In Wiota, the rate of residents with high school diplomas is higher at 35.2% compared to 16.4% in Big bear lake.
- More residents in Big bear lake have less than a high school education at 12.6% compared to 4.4% in Wiota.
- A higher percentage of residents in Big bear lake hold a bachelor's degree or higher at 25.7% compared to 9.9% in Wiota.
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.