Demographics details for Towner, ND vs Fall branch, TN
Population Overview
Compare main population characteristics in Towner, ND vs Fall branch, TN.
Data | Towner | Fall branch |
---|---|---|
Population | 2,064 | 984 |
Median Age | 49.1 years | 48.9 years |
Median Income | $61,250 | $41,884 |
Married Families | 47.0% | 54.0% |
Poverty Level | Data is updating | 11% |
Unemployment Rate | 2.7 | 3.5 |
Population Comparison: Towner vs Fall branch
- In Towner, the population is higher at 2,064, compared to 984 in Fall branch.
- Residents in Towner have a higher median age of 49.1 years compared to 48.9 years in Fall branch.
- Towner has a higher median income of $61,250 compared to $41,884 in Fall branch.
- In Fall branch, the percentage of married families is higher at 54.0%, compared to 47.0% in Towner.
- The poverty level is higher in Fall branch at 11%, compared to 0% in Towner.
- Fall branch has a higher unemployment rate at 3.5% compared to 2.7% in Towner.
Demographics
Demographics Towner vs Fall branch provide insight into the diversity of the communities to compare.
Demographic | Towner | Fall branch |
---|---|---|
Black | Data is updating | Data is updating |
White | 84 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | Data is updating |
Two or More Races | 5 | Data is updating |
American Indian | 7 | Data is updating |
Demographics Comparison: Towner vs Fall branch
- The percentage of Black residents is the same in both Towner and Fall branch at 0%.
- The percentage of White residents is higher in Fall branch at 100% compared to 84% in Towner.
- Both Towner and Fall branch have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Towner at 4% compared to 0% in Fall branch.
- More residents identify as two or more races in Towner at 5% compared to 0% in Fall branch.
- A greater percentage of American Indian residents live in Towner at 7% compared to 0% in Fall branch.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Towner | Fall branch |
---|---|---|
Mental Health Not Good | 15.3% | 17.9% |
Physical Health Not Good | 11.0% | 11.7% |
Depression | 19.9% | 28.3% |
Smoking | 19.6% | 19.7% |
Binge Drinking | 20.8% | 16.7% |
Obesity | 38.2% | 28.9% |
Disability Percentage | 18.0% | 23.0% |
Health Statistics Comparison: Towner vs Fall branch
- In Fall branch, a higher percentage report poor mental health at 17.9% compared to 15.3% in Towner.
- Higher depression rates are seen in Fall branch at 28.3% versus 19.9% in Towner.
- Fall branch has a higher smoking rate at 19.7% compared to 19.6% in Towner.
- Binge drinking is more common in Towner at 20.8% compared to 16.7% in Fall branch.
- Obesity rates are higher in Towner at 38.2% compared to 28.9% in Fall branch.
- There is a higher percentage of disabled individuals in Fall branch at 23.0% compared to 18.0% in Towner.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Towner | Fall branch |
---|---|---|
No Schooling | 3.7% (77) | 1.7% (17) |
High School Diploma | 18.4% (379) | 24.5% (241) |
Less than High School | 20.1% (415) | 19.7% (194) |
Bachelor's Degree and Higher | 12.9% (267) | 14.4% (142) |
Education Levels Comparison: Towner vs Fall branch
- A higher percentage of residents in Towner have no formal schooling at 3.7% compared to 1.7% in Fall branch.
- In Fall branch, the rate of residents with high school diplomas is higher at 24.5% compared to 18.4% in Towner.
- More residents in Towner have less than a high school education at 20.1% compared to 19.7% in Fall branch.
- In Fall branch, a larger share of residents have a bachelor's degree or higher at 14.4% compared to 12.9% in Towner.
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.