Demographics details for Broken bow, NE vs Silverado, CA
Population Overview
Compare main population characteristics in Broken bow, NE vs Silverado, CA.
Data | Broken bow | Silverado |
---|---|---|
Population | 3,474 | 1,765 |
Median Age | 41.4 years | 34.0 years |
Median Income | $49,425 | $83,000 |
Married Families | 40.0% | 43.0% |
Poverty Level | 11% | 9% |
Unemployment Rate | 2.5 | 4.2 |
Population Comparison: Broken bow vs Silverado
- In Broken bow, the population is higher at 3,474, compared to 1,765 in Silverado.
- Residents in Broken bow have a higher median age of 41.4 years compared to 34.0 years in Silverado.
- Silverado has a higher median income of $83,000, compared to $49,425 in Broken bow.
- In Silverado, the percentage of married families is higher at 43.0%, compared to 40.0% in Broken bow.
- Broken bow has a higher poverty level at 11% compared to 9% in Silverado.
- Silverado has a higher unemployment rate at 4.2% compared to 2.5% in Broken bow.
Demographics
Demographics Broken bow vs Silverado provide insight into the diversity of the communities to compare.
Demographic | Broken bow | Silverado |
---|---|---|
Black | 2 | 2 |
White | 88 | 88 |
Asian | Data is updating | 3 |
Hispanic | 6 | 4 |
Two or More Races | 4 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Broken bow vs Silverado
- The percentage of Black residents is the same in both Broken bow and Silverado at 2%.
- The percentage of White residents is the same in both Broken bow and Silverado at 88%.
- In Silverado, the Asian population stands at 3%, greater than 0% in Broken bow.
- The Hispanic community is larger in Broken bow at 6% compared to 4% in Silverado.
- More residents identify as two or more races in Broken bow at 4% compared to 3% in Silverado.
- The percentage of American Indian residents is the same in both Broken bow and Silverado at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Broken bow | Silverado |
---|---|---|
Mental Health Not Good | 14.2% | Data is updating% |
Physical Health Not Good | 10.0% | Data is updating% |
Depression | 17.1% | Data is updating% |
Smoking | 16.3% | Data is updating% |
Binge Drinking | 20.7% | Data is updating% |
Obesity | 38.2% | Data is updating% |
Disability Percentage | 19.0% | Data is updating% |
Health Statistics Comparison: Broken bow vs Silverado
- More residents in Broken bow report poor mental health at 14.2% compared to 0.0% in Silverado.
- Depression is more prevalent in Broken bow at 17.1% compared to 0.0% in Silverado.
- Smoking is more prevalent in Broken bow at 16.3% compared to 0.0% in Silverado.
- Binge drinking is more common in Broken bow at 20.7% compared to 0.0% in Silverado.
- Obesity rates are higher in Broken bow at 38.2% compared to 0.0% in Silverado.
- Disability percentages are higher in Broken bow at 19.0% compared to 0.0% in Silverado.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Broken bow | Silverado |
---|---|---|
No Schooling | 1.2% (42) | 0.0% (Data is updating) |
High School Diploma | 19.8% (689) | 0.0% (Data is updating) |
Less than High School | 7.3% (253) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 14.7% (512) | 0.0% (Data is updating) |
Education Levels Comparison: Broken bow vs Silverado
- A higher percentage of residents in Broken bow have no formal schooling at 1.2% compared to 0.0% in Silverado.
- A higher percentage of residents in Broken bow hold a high school diploma at 19.8% compared to 0.0% in Silverado.
- More residents in Broken bow have less than a high school education at 7.3% compared to 0.0% in Silverado.
- A higher percentage of residents in Broken bow hold a bachelor's degree or higher at 14.7% compared to 0.0% in Silverado.
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.