Demographics details for Fall branch, TN vs Cameron, TX
Population Overview
Compare main population characteristics in Fall branch, TN vs Cameron, TX.
Data | Fall branch | Cameron |
---|---|---|
Population | 984 | 425,208 |
Median Age | 48.9 years | 32.0 years |
Median Income | $41,884 | $47,435 |
Married Families | 54.0% | 36.0% |
Poverty Level | 11% | 15% |
Unemployment Rate | 3.5 | 6.2 |
Population Comparison: Fall branch vs Cameron
- The population in Cameron is higher at 425,208, compared to 984 in Fall branch.
- Residents in Fall branch have a higher median age of 48.9 years compared to 32.0 years in Cameron.
- Cameron has a higher median income of $47,435, compared to $41,884 in Fall branch.
- A higher percentage of married families is found in Fall branch at 54.0% compared to 36.0% in Cameron.
- The poverty level is higher in Cameron at 15%, compared to 11% in Fall branch.
- Cameron has a higher unemployment rate at 6.2% compared to 3.5% in Fall branch.
Demographics
Demographics Fall branch vs Cameron provide insight into the diversity of the communities to compare.
Demographic | Fall branch | Cameron |
---|---|---|
Black | Data is updating | 1 |
White | 100 | 60 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 89 |
Two or More Races | Data is updating | 29 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Fall branch vs Cameron
- In Cameron, the percentage of Black residents is higher at 1% compared to 0% in Fall branch.
- Fall branch has a higher percentage of White residents at 100% compared to 60% in Cameron.
- In Cameron, the Asian population stands at 1%, greater than 0% in Fall branch.
- Cameron has a higher percentage of Hispanic residents at 89%, compared to 0% in Fall branch.
- The percentage of residents identifying as two or more races is higher in Cameron at 29%, compared to 0% in Fall branch.
- The percentage of American Indian residents is the same in both Fall branch and Cameron at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fall branch | Cameron |
---|---|---|
Mental Health Not Good | 17.9% | 17.0% |
Physical Health Not Good | 11.7% | 14.6% |
Depression | 28.3% | 19.0% |
Smoking | 19.7% | 15.4% |
Binge Drinking | 16.7% | 16.3% |
Obesity | 28.9% | 44.6% |
Disability Percentage | 23.0% | 12.0% |
Health Statistics Comparison: Fall branch vs Cameron
- More residents in Fall branch report poor mental health at 17.9% compared to 17.0% in Cameron.
- Depression is more prevalent in Fall branch at 28.3% compared to 19.0% in Cameron.
- Smoking is more prevalent in Fall branch at 19.7% compared to 15.4% in Cameron.
- Binge drinking is more common in Fall branch at 16.7% compared to 16.3% in Cameron.
- Cameron has higher obesity rates at 44.6% compared to 28.9% in Fall branch.
- Disability percentages are higher in Fall branch at 23.0% 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 | Fall branch | Cameron |
---|---|---|
No Schooling | 1.7% (17) | 2.8% (11,750) |
High School Diploma | 24.5% (241) | 12.6% (53,487) |
Less than High School | 19.7% (194) | 34.2% (145,250) |
Bachelor's Degree and Higher | 14.4% (142) | 11.5% (48,712) |
Education Levels Comparison: Fall branch vs Cameron
- In Cameron, a larger percentage of residents lack formal schooling at 2.8% compared to 1.7% in Fall branch.
- A higher percentage of residents in Fall branch hold a high school diploma at 24.5% compared to 12.6% in Cameron.
- The percentage of residents with less than a high school education is higher in Cameron at 34.2%, compared to 19.7% in Fall branch.
- A higher percentage of residents in Fall branch hold a bachelor's degree or higher at 14.4% 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.