Demographics details for Fall branch, TN vs Newton, KS
Population Overview
Compare main population characteristics in Fall branch, TN vs Newton, KS.
| Data | Fall branch | Newton |
|---|---|---|
| Population | 984 | 18,392 |
| Median Age | 48.9 years | 40.1 years |
| Median Income | $41,884 | $66,528 |
| Married Families | 54.0% | 40.0% |
| Poverty Level | 11% | 9% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Fall branch vs Newton
- The population in Newton is higher at 18,392, compared to 984 in Fall branch.
- Residents in Fall branch have a higher median age of 48.9 years compared to 40.1 years in Newton.
- Newton has a higher median income of $66,528, compared to $41,884 in Fall branch.
- A higher percentage of married families is found in Fall branch at 54.0% compared to 40.0% in Newton.
- Fall branch has a higher poverty level at 11% compared to 9% in Newton.
- The unemployment rate in Fall branch is higher at 3.5%, compared to 3.4% in Newton.
Demographics
Demographics Fall branch vs Newton provide insight into the diversity of the communities to compare.
| Demographic | Fall branch | Newton |
|---|---|---|
| Black | Data is updating | 2 |
| White | 100 | 66 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 20 |
| Two or More Races | Data is updating | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Fall branch vs Newton
- In Newton, the percentage of Black residents is higher at 2% compared to 0% in Fall branch.
- Fall branch has a higher percentage of White residents at 100% compared to 66% in Newton.
- Both Fall branch and Newton have the same percentage of Asian residents at 0%.
- Newton has a higher percentage of Hispanic residents at 20%, compared to 0% in Fall branch.
- The percentage of residents identifying as two or more races is higher in Newton at 11%, compared to 0% in Fall branch.
- In Newton, the percentage of American Indian residents is higher at 1%, compared to 0% in Fall branch.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fall branch | Newton |
|---|---|---|
| Mental Health Not Good | 17.9% | 15.5% |
| Physical Health Not Good | 11.7% | 9.9% |
| Depression | 28.3% | 21.3% |
| Smoking | 19.7% | 16.1% |
| Binge Drinking | 16.7% | 17.3% |
| Obesity | 28.9% | 40.1% |
| Disability Percentage | 23.0% | 13.0% |
Health Statistics Comparison: Fall branch vs Newton
- More residents in Fall branch report poor mental health at 17.9% compared to 15.5% in Newton.
- Depression is more prevalent in Fall branch at 28.3% compared to 21.3% in Newton.
- Smoking is more prevalent in Fall branch at 19.7% compared to 16.1% in Newton.
- More residents engage in binge drinking in Newton at 17.3% compared to 16.7% in Fall branch.
- Newton has higher obesity rates at 40.1% compared to 28.9% in Fall branch.
- Disability percentages are higher in Fall branch at 23.0% compared to 13.0% in Newton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fall branch | Newton |
|---|---|---|
| No Schooling | 1.7% (17) | 0.5% (92) |
| High School Diploma | 24.5% (241) | 15.3% (2,807) |
| Less than High School | 19.7% (194) | 11.6% (2,127) |
| Bachelor's Degree and Higher | 14.4% (142) | 19.4% (3,576) |
Education Levels Comparison: Fall branch vs Newton
- A higher percentage of residents in Fall branch have no formal schooling at 1.7% compared to 0.5% in Newton.
- A higher percentage of residents in Fall branch hold a high school diploma at 24.5% compared to 15.3% in Newton.
- More residents in Fall branch have less than a high school education at 19.7% compared to 11.6% in Newton.
- In Newton, a larger share of residents have a bachelor's degree or higher at 19.4% compared to 14.4% in Fall branch.
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.