Demographics details for Shasta lake, CA vs Trumann, AR
Population Overview
Compare main population characteristics in Shasta lake, CA vs Trumann, AR.
| Data | Shasta lake | Trumann |
|---|---|---|
| Population | 10,335 | 7,305 |
| Median Age | 38.8 years | 40.0 years |
| Median Income | $54,490 | $37,618 |
| Married Families | 35.0% | 35.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 5.1 | 4.2 |
Population Comparison: Shasta lake vs Trumann
- In Shasta lake, the population is higher at 10,335, compared to 7,305 in Trumann.
- The median age in Trumann is higher at 40.0 years, compared to 38.8 years in Shasta lake.
- Shasta lake has a higher median income of $54,490 compared to $37,618 in Trumann.
- The percentage of married families is the same in both Shasta lake and Trumann at 35.0%.
- The poverty level is higher in Trumann at 13%, compared to 12% in Shasta lake.
- The unemployment rate in Shasta lake is higher at 5.1%, compared to 4.2% in Trumann.
Demographics
Demographics Shasta lake vs Trumann provide insight into the diversity of the communities to compare.
| Demographic | Shasta lake | Trumann |
|---|---|---|
| Black | Data is updating | 5 |
| White | 74 | 84 |
| Asian | 1 | Data is updating |
| Hispanic | 12 | 3 |
| Two or More Races | 11 | 8 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Shasta lake vs Trumann
- In Trumann, the percentage of Black residents is higher at 5% compared to 0% in Shasta lake.
- The percentage of White residents is higher in Trumann at 84% compared to 74% in Shasta lake.
- The Asian population is larger in Shasta lake at 1% compared to 0% in Trumann.
- The Hispanic community is larger in Shasta lake at 12% compared to 3% in Trumann.
- More residents identify as two or more races in Shasta lake at 11% compared to 8% in Trumann.
- A greater percentage of American Indian residents live in Shasta lake at 2% compared to 0% in Trumann.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shasta lake | Trumann |
|---|---|---|
| Mental Health Not Good | 19.3% | 20.8% |
| Physical Health Not Good | 13.2% | 15.2% |
| Depression | 22.9% | 28.5% |
| Smoking | 17.4% | 25.0% |
| Binge Drinking | 17.5% | 14.4% |
| Obesity | 32.5% | 44.6% |
| Disability Percentage | 25.0% | 24.0% |
Health Statistics Comparison: Shasta lake vs Trumann
- In Trumann, a higher percentage report poor mental health at 20.8% compared to 19.3% in Shasta lake.
- Higher depression rates are seen in Trumann at 28.5% versus 22.9% in Shasta lake.
- Trumann has a higher smoking rate at 25.0% compared to 17.4% in Shasta lake.
- Binge drinking is more common in Shasta lake at 17.5% compared to 14.4% in Trumann.
- Trumann has higher obesity rates at 44.6% compared to 32.5% in Shasta lake.
- Disability percentages are higher in Shasta lake at 25.0% compared to 24.0% in Trumann.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Shasta lake | Trumann |
|---|---|---|
| No Schooling | 0.6% (67) | 1.8% (135) |
| High School Diploma | 17.0% (1,759) | 25.9% (1,895) |
| Less than High School | 11.4% (1,176) | 24.4% (1,780) |
| Bachelor's Degree and Higher | 9.2% (946) | 6.7% (487) |
Education Levels Comparison: Shasta lake vs Trumann
- In Trumann, a larger percentage of residents lack formal schooling at 1.8% compared to 0.6% in Shasta lake.
- In Trumann, the rate of residents with high school diplomas is higher at 25.9% compared to 17.0% in Shasta lake.
- The percentage of residents with less than a high school education is higher in Trumann at 24.4%, compared to 11.4% in Shasta lake.
- A higher percentage of residents in Shasta lake hold a bachelor's degree or higher at 9.2% compared to 6.7% in Trumann.
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.