Demographics details for Charlotte, VT vs Baxter, TN
Population Overview
Compare main population characteristics in Charlotte, VT vs Baxter, TN.
Data | Charlotte | Baxter |
---|---|---|
Population | 3,754 | 1,836 |
Median Age | 43.0 years | 36.4 years |
Median Income | $87,300 | $57,829 |
Married Families | 60.0% | 32.0% |
Poverty Level | 6% | 9% |
Unemployment Rate | 1.7 | 5.0 |
Population Comparison: Charlotte vs Baxter
- In Charlotte, the population is higher at 3,754, compared to 1,836 in Baxter.
- Residents in Charlotte have a higher median age of 43.0 years compared to 36.4 years in Baxter.
- Charlotte has a higher median income of $87,300 compared to $57,829 in Baxter.
- A higher percentage of married families is found in Charlotte at 60.0% compared to 32.0% in Baxter.
- The poverty level is higher in Baxter at 9%, compared to 6% in Charlotte.
- Baxter has a higher unemployment rate at 5.0% compared to 1.7% in Charlotte.
Demographics
Demographics Charlotte vs Baxter provide insight into the diversity of the communities to compare.
Demographic | Charlotte | Baxter |
---|---|---|
Black | 1 | 2 |
White | 96 | 92 |
Asian | 2 | Data is updating |
Hispanic | 1 | 2 |
Two or More Races | Data is updating | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Charlotte vs Baxter
- In Baxter, the percentage of Black residents is higher at 2% compared to 1% in Charlotte.
- Charlotte has a higher percentage of White residents at 96% compared to 92% in Baxter.
- The Asian population is larger in Charlotte at 2% compared to 0% in Baxter.
- Baxter has a higher percentage of Hispanic residents at 2%, compared to 1% in Charlotte.
- The percentage of residents identifying as two or more races is higher in Baxter at 4%, compared to 0% in Charlotte.
- The percentage of American Indian residents is the same in both Charlotte and Baxter at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Charlotte | Baxter |
---|---|---|
Mental Health Not Good | Data is updating% | 21.8% |
Physical Health Not Good | Data is updating% | 15.6% |
Depression | Data is updating% | 31.3% |
Smoking | Data is updating% | 26.6% |
Binge Drinking | Data is updating% | 14.7% |
Obesity | Data is updating% | 36.5% |
Disability Percentage | Data is updating% | 20.0% |
Health Statistics Comparison: Charlotte vs Baxter
- In Baxter, a higher percentage report poor mental health at 21.8% compared to 0.0% in Charlotte.
- Higher depression rates are seen in Baxter at 31.3% versus 0.0% in Charlotte.
- Baxter has a higher smoking rate at 26.6% compared to 0.0% in Charlotte.
- More residents engage in binge drinking in Baxter at 14.7% compared to 0.0% in Charlotte.
- Baxter has higher obesity rates at 36.5% compared to 0.0% in Charlotte.
- There is a higher percentage of disabled individuals in Baxter at 20.0% compared to 0.0% in Charlotte.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Charlotte | Baxter |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.2% (4) |
High School Diploma | 0.0% (Data is updating) | 22.7% (416) |
Less than High School | 0.0% (Data is updating) | 9.7% (178) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 5.6% (103) |
Education Levels Comparison: Charlotte vs Baxter
- In Baxter, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Charlotte.
- In Baxter, the rate of residents with high school diplomas is higher at 22.7% compared to 0.0% in Charlotte.
- The percentage of residents with less than a high school education is higher in Baxter at 9.7%, compared to 0.0% in Charlotte.
- In Baxter, a larger share of residents have a bachelor's degree or higher at 5.6% compared to 0.0% in Charlotte.
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.