Demographics details for Anza, CA vs Blue mounds, WI
Population Overview
Compare main population characteristics in Anza, CA vs Blue mounds, WI.
| Data | Anza | Blue mounds |
|---|---|---|
| Population | 1,959 | 924 |
| Median Age | 43.3 years | 37.0 years |
| Median Income | $50,956 | $71,094 |
| Married Families | 32.0% | 34.0% |
| Poverty Level | 14% | 8% |
| Unemployment Rate | 3.5 | 2.4 |
Population Comparison: Anza vs Blue mounds
- In Anza, the population is higher at 1,959, compared to 924 in Blue mounds.
- Residents in Anza have a higher median age of 43.3 years compared to 37.0 years in Blue mounds.
- Blue mounds has a higher median income of $71,094, compared to $50,956 in Anza.
- In Blue mounds, the percentage of married families is higher at 34.0%, compared to 32.0% in Anza.
- Anza has a higher poverty level at 14% compared to 8% in Blue mounds.
- The unemployment rate in Anza is higher at 3.5%, compared to 2.4% in Blue mounds.
Demographics
Demographics Anza vs Blue mounds provide insight into the diversity of the communities to compare.
| Demographic | Anza | Blue mounds |
|---|---|---|
| Black | Data is updating | 1 |
| White | 58 | 96 |
| Asian | 14 | Data is updating |
| Hispanic | 18 | 1 |
| Two or More Races | 9 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Anza vs Blue mounds
- In Blue mounds, the percentage of Black residents is higher at 1% compared to 0% in Anza.
- The percentage of White residents is higher in Blue mounds at 96% compared to 58% in Anza.
- The Asian population is larger in Anza at 14% compared to 0% in Blue mounds.
- The Hispanic community is larger in Anza at 18% compared to 1% in Blue mounds.
- More residents identify as two or more races in Anza at 9% compared to 2% in Blue mounds.
- A greater percentage of American Indian residents live in Anza at 1% compared to 0% in Blue mounds.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Anza | Blue mounds |
|---|---|---|
| Mental Health Not Good | 17.7% | 13.4% |
| Physical Health Not Good | 12.5% | 7.8% |
| Depression | 19.9% | 24.2% |
| Smoking | 15.6% | 11.9% |
| Binge Drinking | 17.1% | 25.4% |
| Obesity | 37.1% | 27.3% |
| Disability Percentage | 24.0% | 11.0% |
Health Statistics Comparison: Anza vs Blue mounds
- More residents in Anza report poor mental health at 17.7% compared to 13.4% in Blue mounds.
- Higher depression rates are seen in Blue mounds at 24.2% versus 19.9% in Anza.
- Smoking is more prevalent in Anza at 15.6% compared to 11.9% in Blue mounds.
- More residents engage in binge drinking in Blue mounds at 25.4% compared to 17.1% in Anza.
- Obesity rates are higher in Anza at 37.1% compared to 27.3% in Blue mounds.
- Disability percentages are higher in Anza at 24.0% 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 | Anza | Blue mounds |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 9.4% (184) | 15.3% (141) |
| Less than High School | 15.5% (304) | 9.0% (83) |
| Bachelor's Degree and Higher | 19.4% (381) | 19.7% (182) |
Education Levels Comparison: Anza vs Blue mounds
- The percentage of residents with no formal schooling is the same in both Anza and Blue mounds at 0.0%.
- In Blue mounds, the rate of residents with high school diplomas is higher at 15.3% compared to 9.4% in Anza.
- More residents in Anza have less than a high school education at 15.5% 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 19.4% in Anza.
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.