Demographics details for Charlotte, TN vs Fair oaks, CA
Population Overview
Compare main population characteristics in Charlotte, TN vs Fair oaks, CA.
| Data | Charlotte | Fair oaks |
|---|---|---|
| Population | 1,674 | 32,754 |
| Median Age | 36.8 years | 45.7 years |
| Median Income | $57,188 | $112,138 |
| Married Families | 46.0% | 45.0% |
| Poverty Level | 14% | 6% |
| Unemployment Rate | 4.3 | 4.5 |
Population Comparison: Charlotte vs Fair oaks
- The population in Fair oaks is higher at 32,754, compared to 1,674 in Charlotte.
- The median age in Fair oaks is higher at 45.7 years, compared to 36.8 years in Charlotte.
- Fair oaks has a higher median income of $112,138, compared to $57,188 in Charlotte.
- A higher percentage of married families is found in Charlotte at 46.0% compared to 45.0% in Fair oaks.
- Charlotte has a higher poverty level at 14% compared to 6% in Fair oaks.
- Fair oaks has a higher unemployment rate at 4.5% compared to 4.3% in Charlotte.
Demographics
Demographics Charlotte vs Fair oaks provide insight into the diversity of the communities to compare.
| Demographic | Charlotte | Fair oaks |
|---|---|---|
| Black | 6 | 2 |
| White | 82 | 68 |
| Asian | Data is updating | 5 |
| Hispanic | 4 | 14 |
| Two or More Races | 6 | 10 |
| American Indian | 2 | 1 |
Demographics Comparison: Charlotte vs Fair oaks
- A higher percentage of Black residents are in Charlotte at 6% compared to 2% in Fair oaks.
- Charlotte has a higher percentage of White residents at 82% compared to 68% in Fair oaks.
- In Fair oaks, the Asian population stands at 5%, greater than 0% in Charlotte.
- Fair oaks has a higher percentage of Hispanic residents at 14%, compared to 4% in Charlotte.
- The percentage of residents identifying as two or more races is higher in Fair oaks at 10%, compared to 6% in Charlotte.
- A greater percentage of American Indian residents live in Charlotte at 2% compared to 1% in Fair oaks.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Charlotte | Fair oaks |
|---|---|---|
| Mental Health Not Good | 20.3% | 15.6% |
| Physical Health Not Good | 14.7% | 9.3% |
| Depression | 28.8% | 20.3% |
| Smoking | 25.3% | 10.6% |
| Binge Drinking | 16.0% | 17.8% |
| Obesity | 38.9% | 29.9% |
| Disability Percentage | 27.0% | 11.0% |
Health Statistics Comparison: Charlotte vs Fair oaks
- More residents in Charlotte report poor mental health at 20.3% compared to 15.6% in Fair oaks.
- Depression is more prevalent in Charlotte at 28.8% compared to 20.3% in Fair oaks.
- Smoking is more prevalent in Charlotte at 25.3% compared to 10.6% in Fair oaks.
- More residents engage in binge drinking in Fair oaks at 17.8% compared to 16.0% in Charlotte.
- Obesity rates are higher in Charlotte at 38.9% compared to 29.9% in Fair oaks.
- Disability percentages are higher in Charlotte at 27.0% compared to 11.0% in Fair oaks.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Charlotte | Fair oaks |
|---|---|---|
| No Schooling | 0.4% (6) | 1.0% (312) |
| High School Diploma | 25.3% (424) | 9.5% (3,112) |
| Less than High School | 26.0% (436) | 4.9% (1,601) |
| Bachelor's Degree and Higher | 9.9% (166) | 35.4% (11,579) |
Education Levels Comparison: Charlotte vs Fair oaks
- In Fair oaks, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Charlotte.
- A higher percentage of residents in Charlotte hold a high school diploma at 25.3% compared to 9.5% in Fair oaks.
- More residents in Charlotte have less than a high school education at 26.0% compared to 4.9% in Fair oaks.
- In Fair oaks, a larger share of residents have a bachelor's degree or higher at 35.4% compared to 9.9% 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.