Demographics details for Cameron, TX vs Broken bow, NE
Population Overview
Compare main population characteristics in Cameron, TX vs Broken bow, NE.
| Data | Cameron | Broken bow |
|---|---|---|
| Population | 425,208 | 3,474 |
| Median Age | 32.0 years | 41.4 years |
| Median Income | $47,435 | $49,425 |
| Married Families | 36.0% | 40.0% |
| Poverty Level | 15% | 11% |
| Unemployment Rate | 6.2 | 2.5 |
Population Comparison: Cameron vs Broken bow
- In Cameron, the population is higher at 425,208, compared to 3,474 in Broken bow.
- The median age in Broken bow is higher at 41.4 years, compared to 32.0 years in Cameron.
- Broken bow has a higher median income of $49,425, compared to $47,435 in Cameron.
- In Broken bow, the percentage of married families is higher at 40.0%, compared to 36.0% in Cameron.
- Cameron has a higher poverty level at 15% compared to 11% in Broken bow.
- The unemployment rate in Cameron is higher at 6.2%, compared to 2.5% in Broken bow.
Demographics
Demographics Cameron vs Broken bow provide insight into the diversity of the communities to compare.
| Demographic | Cameron | Broken bow |
|---|---|---|
| Black | 1 | 2 |
| White | 60 | 88 |
| Asian | 1 | Data is updating |
| Hispanic | 89 | 6 |
| Two or More Races | 29 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cameron vs Broken bow
- In Broken bow, the percentage of Black residents is higher at 2% compared to 1% in Cameron.
- The percentage of White residents is higher in Broken bow at 88% compared to 60% in Cameron.
- The Asian population is larger in Cameron at 1% compared to 0% in Broken bow.
- The Hispanic community is larger in Cameron at 89% compared to 6% in Broken bow.
- More residents identify as two or more races in Cameron at 29% compared to 4% in Broken bow.
- The percentage of American Indian residents is the same in both Cameron and Broken bow at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cameron | Broken bow |
|---|---|---|
| Mental Health Not Good | 17.0% | 14.2% |
| Physical Health Not Good | 14.6% | 10.0% |
| Depression | 19.0% | 17.1% |
| Smoking | 15.4% | 16.3% |
| Binge Drinking | 16.3% | 20.7% |
| Obesity | 44.6% | 38.2% |
| Disability Percentage | 12.0% | 19.0% |
Health Statistics Comparison: Cameron vs Broken bow
- More residents in Cameron report poor mental health at 17.0% compared to 14.2% in Broken bow.
- Depression is more prevalent in Cameron at 19.0% compared to 17.1% in Broken bow.
- Broken bow has a higher smoking rate at 16.3% compared to 15.4% in Cameron.
- More residents engage in binge drinking in Broken bow at 20.7% compared to 16.3% in Cameron.
- Obesity rates are higher in Cameron at 44.6% compared to 38.2% in Broken bow.
- There is a higher percentage of disabled individuals in Broken bow at 19.0% compared to 12.0% in Cameron.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cameron | Broken bow |
|---|---|---|
| No Schooling | 2.8% (11,750) | 1.2% (42) |
| High School Diploma | 12.6% (53,487) | 19.8% (689) |
| Less than High School | 34.2% (145,250) | 7.3% (253) |
| Bachelor's Degree and Higher | 11.5% (48,712) | 14.7% (512) |
Education Levels Comparison: Cameron vs Broken bow
- A higher percentage of residents in Cameron have no formal schooling at 2.8% 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 12.6% in Cameron.
- More residents in Cameron have less than a high school education at 34.2% compared to 7.3% in Broken bow.
- In Broken bow, a larger share of residents have a bachelor's degree or higher at 14.7% compared to 11.5% in Cameron.
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.