Demographics details for Dardanelle, AR vs Charlotte, TN
Population Overview
Compare main population characteristics in Dardanelle, AR vs Charlotte, TN.
| Data | Dardanelle | Charlotte |
|---|---|---|
| Population | 4,518 | 1,674 |
| Median Age | 37.9 years | 36.8 years |
| Median Income | $47,724 | $57,188 |
| Married Families | 41.0% | 46.0% |
| Poverty Level | 19% | 14% |
| Unemployment Rate | 5.7 | 4.3 |
Population Comparison: Dardanelle vs Charlotte
- In Dardanelle, the population is higher at 4,518, compared to 1,674 in Charlotte.
- Residents in Dardanelle have a higher median age of 37.9 years compared to 36.8 years in Charlotte.
- Charlotte has a higher median income of $57,188, compared to $47,724 in Dardanelle.
- In Charlotte, the percentage of married families is higher at 46.0%, compared to 41.0% in Dardanelle.
- Dardanelle has a higher poverty level at 19% compared to 14% in Charlotte.
- The unemployment rate in Dardanelle is higher at 5.7%, compared to 4.3% in Charlotte.
Demographics
Demographics Dardanelle vs Charlotte provide insight into the diversity of the communities to compare.
| Demographic | Dardanelle | Charlotte |
|---|---|---|
| Black | 8 | 6 |
| White | 50 | 82 |
| Asian | Data is updating | Data is updating |
| Hispanic | 40 | 4 |
| Two or More Races | 2 | 6 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Dardanelle vs Charlotte
- A higher percentage of Black residents are in Dardanelle at 8% compared to 6% in Charlotte.
- The percentage of White residents is higher in Charlotte at 82% compared to 50% in Dardanelle.
- Both Dardanelle and Charlotte have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Dardanelle at 40% compared to 4% in Charlotte.
- The percentage of residents identifying as two or more races is higher in Charlotte at 6%, compared to 2% in Dardanelle.
- In Charlotte, the percentage of American Indian residents is higher at 2%, compared to 0% in Dardanelle.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dardanelle | Charlotte |
|---|---|---|
| Mental Health Not Good | 19.2% | 20.3% |
| Physical Health Not Good | 14.9% | 14.7% |
| Depression | 26.3% | 28.8% |
| Smoking | 22.1% | 25.3% |
| Binge Drinking | 14.0% | 16.0% |
| Obesity | 37.5% | 38.9% |
| Disability Percentage | 21.0% | 27.0% |
Health Statistics Comparison: Dardanelle vs Charlotte
- In Charlotte, a higher percentage report poor mental health at 20.3% compared to 19.2% in Dardanelle.
- Higher depression rates are seen in Charlotte at 28.8% versus 26.3% in Dardanelle.
- Charlotte has a higher smoking rate at 25.3% compared to 22.1% in Dardanelle.
- More residents engage in binge drinking in Charlotte at 16.0% compared to 14.0% in Dardanelle.
- Charlotte has higher obesity rates at 38.9% compared to 37.5% in Dardanelle.
- There is a higher percentage of disabled individuals in Charlotte at 27.0% compared to 21.0% in Dardanelle.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dardanelle | Charlotte |
|---|---|---|
| No Schooling | 2.1% (94) | 0.4% (6) |
| High School Diploma | 16.5% (745) | 25.3% (424) |
| Less than High School | 36.0% (1,626) | 26.0% (436) |
| Bachelor's Degree and Higher | 7.7% (346) | 9.9% (166) |
Education Levels Comparison: Dardanelle vs Charlotte
- A higher percentage of residents in Dardanelle have no formal schooling at 2.1% compared to 0.4% in Charlotte.
- In Charlotte, the rate of residents with high school diplomas is higher at 25.3% compared to 16.5% in Dardanelle.
- More residents in Dardanelle have less than a high school education at 36.0% compared to 26.0% in Charlotte.
- In Charlotte, a larger share of residents have a bachelor's degree or higher at 9.9% compared to 7.7% in Dardanelle.
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.