Demographics details for Shasta lake, CA vs Blue mounds, WI
Population Overview
Compare main population characteristics in Shasta lake, CA vs Blue mounds, WI.
Data | Shasta lake | Blue mounds |
---|---|---|
Population | 10,335 | 924 |
Median Age | 38.8 years | 37.0 years |
Median Income | $54,490 | $71,094 |
Married Families | 35.0% | 34.0% |
Poverty Level | 12% | 8% |
Unemployment Rate | 5.1 | 2.4 |
Population Comparison: Shasta lake vs Blue mounds
- In Shasta lake, the population is higher at 10,335, compared to 924 in Blue mounds.
- Residents in Shasta lake have a higher median age of 38.8 years compared to 37.0 years in Blue mounds.
- Blue mounds has a higher median income of $71,094, compared to $54,490 in Shasta lake.
- A higher percentage of married families is found in Shasta lake at 35.0% compared to 34.0% in Blue mounds.
- Shasta lake has a higher poverty level at 12% compared to 8% in Blue mounds.
- The unemployment rate in Shasta lake is higher at 5.1%, compared to 2.4% in Blue mounds.
Demographics
Demographics Shasta lake vs Blue mounds provide insight into the diversity of the communities to compare.
Demographic | Shasta lake | Blue mounds |
---|---|---|
Black | Data is updating | 1 |
White | 74 | 96 |
Asian | 1 | Data is updating |
Hispanic | 12 | 1 |
Two or More Races | 11 | 2 |
American Indian | 2 | Data is updating |
Demographics Comparison: Shasta lake vs Blue mounds
- In Blue mounds, the percentage of Black residents is higher at 1% compared to 0% in Shasta lake.
- The percentage of White residents is higher in Blue mounds at 96% compared to 74% in Shasta lake.
- The Asian population is larger in Shasta lake at 1% compared to 0% in Blue mounds.
- The Hispanic community is larger in Shasta lake at 12% compared to 1% in Blue mounds.
- More residents identify as two or more races in Shasta lake at 11% compared to 2% in Blue mounds.
- A greater percentage of American Indian residents live in Shasta lake at 2% compared to 0% in Blue mounds.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Shasta lake | Blue mounds |
---|---|---|
Mental Health Not Good | 19.3% | 13.4% |
Physical Health Not Good | 13.2% | 7.8% |
Depression | 22.9% | 24.2% |
Smoking | 17.4% | 11.9% |
Binge Drinking | 17.5% | 25.4% |
Obesity | 32.5% | 27.3% |
Disability Percentage | 25.0% | 11.0% |
Health Statistics Comparison: Shasta lake vs Blue mounds
- More residents in Shasta lake report poor mental health at 19.3% compared to 13.4% in Blue mounds.
- Higher depression rates are seen in Blue mounds at 24.2% versus 22.9% in Shasta lake.
- Smoking is more prevalent in Shasta lake at 17.4% compared to 11.9% in Blue mounds.
- More residents engage in binge drinking in Blue mounds at 25.4% compared to 17.5% in Shasta lake.
- Obesity rates are higher in Shasta lake at 32.5% compared to 27.3% in Blue mounds.
- Disability percentages are higher in Shasta lake at 25.0% compared to 11.0% in Blue mounds.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Shasta lake | Blue mounds |
---|---|---|
No Schooling | 0.6% (67) | 0.0% (Data is updating) |
High School Diploma | 17.0% (1,759) | 15.3% (141) |
Less than High School | 11.4% (1,176) | 9.0% (83) |
Bachelor's Degree and Higher | 9.2% (946) | 19.7% (182) |
Education Levels Comparison: Shasta lake vs Blue mounds
- A higher percentage of residents in Shasta lake have no formal schooling at 0.6% compared to 0.0% in Blue mounds.
- A higher percentage of residents in Shasta lake hold a high school diploma at 17.0% compared to 15.3% in Blue mounds.
- More residents in Shasta lake have less than a high school education at 11.4% compared to 9.0% in Blue mounds.
- In Blue mounds, a larger share of residents have a bachelor's degree or higher at 19.7% compared to 9.2% in Shasta lake.
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.