Demographics details for Livermore, CA vs Broken bow, NE
Population Overview
Compare main population characteristics in Livermore, CA vs Broken bow, NE.
| Data | Livermore | Broken bow |
|---|---|---|
| Population | 84,701 | 3,474 |
| Median Age | 40.3 years | 41.4 years |
| Median Income | $152,590 | $49,425 |
| Married Families | 48.0% | 40.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 3.9 | 2.5 |
Population Comparison: Livermore vs Broken bow
- In Livermore, the population is higher at 84,701, compared to 3,474 in Broken bow.
- The median age in Broken bow is higher at 41.4 years, compared to 40.3 years in Livermore.
- Livermore has a higher median income of $152,590 compared to $49,425 in Broken bow.
- A higher percentage of married families is found in Livermore at 48.0% compared to 40.0% in Broken bow.
- The poverty level is higher in Broken bow at 11%, compared to 5% in Livermore.
- The unemployment rate in Livermore is higher at 3.9%, compared to 2.5% in Broken bow.
Demographics
Demographics Livermore vs Broken bow provide insight into the diversity of the communities to compare.
| Demographic | Livermore | Broken bow |
|---|---|---|
| Black | 2 | 2 |
| White | 44 | 88 |
| Asian | 17 | Data is updating |
| Hispanic | 23 | 6 |
| Two or More Races | 13 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Livermore vs Broken bow
- The percentage of Black residents is the same in both Livermore and Broken bow at 2%.
- The percentage of White residents is higher in Broken bow at 88% compared to 44% in Livermore.
- The Asian population is larger in Livermore at 17% compared to 0% in Broken bow.
- The Hispanic community is larger in Livermore at 23% compared to 6% in Broken bow.
- More residents identify as two or more races in Livermore at 13% compared to 4% in Broken bow.
- A greater percentage of American Indian residents live in Livermore at 1% compared to 0% in Broken bow.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Livermore | Broken bow |
|---|---|---|
| Mental Health Not Good | 14.9% | 14.2% |
| Physical Health Not Good | 8.8% | 10.0% |
| Depression | 19.6% | 17.1% |
| Smoking | 9.4% | 16.3% |
| Binge Drinking | 18.4% | 20.7% |
| Obesity | 26.6% | 38.2% |
| Disability Percentage | 9.0% | 19.0% |
Health Statistics Comparison: Livermore vs Broken bow
- More residents in Livermore report poor mental health at 14.9% compared to 14.2% in Broken bow.
- Depression is more prevalent in Livermore at 19.6% compared to 17.1% in Broken bow.
- Broken bow has a higher smoking rate at 16.3% compared to 9.4% in Livermore.
- More residents engage in binge drinking in Broken bow at 20.7% compared to 18.4% in Livermore.
- Broken bow has higher obesity rates at 38.2% compared to 26.6% in Livermore.
- There is a higher percentage of disabled individuals in Broken bow at 19.0% compared to 9.0% in Livermore.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Livermore | Broken bow |
|---|---|---|
| No Schooling | 1.4% (1,173) | 1.2% (42) |
| High School Diploma | 9.5% (8,051) | 19.8% (689) |
| Less than High School | 7.8% (6,576) | 7.3% (253) |
| Bachelor's Degree and Higher | 35.4% (30,013) | 14.7% (512) |
Education Levels Comparison: Livermore vs Broken bow
- A higher percentage of residents in Livermore have no formal schooling at 1.4% compared to 1.2% in Broken bow.
- In Broken bow, the rate of residents with high school diplomas is higher at 19.8% compared to 9.5% in Livermore.
- More residents in Livermore have less than a high school education at 7.8% compared to 7.3% in Broken bow.
- A higher percentage of residents in Livermore hold a bachelor's degree or higher at 35.4% compared to 14.7% in Broken bow.
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.