Demographics details for Charlotte, NC vs Sikeston, MO
Population Overview
Compare main population characteristics in Charlotte, NC vs Sikeston, MO.
| Data | Charlotte | Sikeston |
|---|---|---|
| Population | 897,720 | 16,073 |
| Median Age | 34.5 years | 37.3 years |
| Median Income | $74,070 | $47,464 |
| Married Families | 33.0% | 36.0% |
| Poverty Level | 12% | 16% |
| Unemployment Rate | 4.0 | 3.4 |
Population Comparison: Charlotte vs Sikeston
- In Charlotte, the population is higher at 897,720, compared to 16,073 in Sikeston.
- The median age in Sikeston is higher at 37.3 years, compared to 34.5 years in Charlotte.
- Charlotte has a higher median income of $74,070 compared to $47,464 in Sikeston.
- In Sikeston, the percentage of married families is higher at 36.0%, compared to 33.0% in Charlotte.
- The poverty level is higher in Sikeston at 16%, compared to 12% in Charlotte.
- The unemployment rate in Charlotte is higher at 4.0%, compared to 3.4% in Sikeston.
Demographics
Demographics Charlotte vs Sikeston provide insight into the diversity of the communities to compare.
| Demographic | Charlotte | Sikeston |
|---|---|---|
| Black | 34 | 25 |
| White | 38 | 65 |
| Asian | 6 | Data is updating |
| Hispanic | 15 | 3 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Charlotte vs Sikeston
- A higher percentage of Black residents are in Charlotte at 34% compared to 25% in Sikeston.
- The percentage of White residents is higher in Sikeston at 65% compared to 38% in Charlotte.
- The Asian population is larger in Charlotte at 6% compared to 0% in Sikeston.
- The Hispanic community is larger in Charlotte at 15% compared to 3% in Sikeston.
- Both Charlotte and Sikeston have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Charlotte and Sikeston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Charlotte | Sikeston |
|---|---|---|
| Mental Health Not Good | 14.7% | 19.8% |
| Physical Health Not Good | 10.1% | 14.7% |
| Depression | 20.1% | 24.6% |
| Smoking | 13.9% | 23.9% |
| Binge Drinking | 17.5% | 15.8% |
| Obesity | 34.7% | 39.0% |
| Disability Percentage | 8.0% | 20.0% |
Health Statistics Comparison: Charlotte vs Sikeston
- In Sikeston, a higher percentage report poor mental health at 19.8% compared to 14.7% in Charlotte.
- Higher depression rates are seen in Sikeston at 24.6% versus 20.1% in Charlotte.
- Sikeston has a higher smoking rate at 23.9% compared to 13.9% in Charlotte.
- Binge drinking is more common in Charlotte at 17.5% compared to 15.8% in Sikeston.
- Sikeston has higher obesity rates at 39.0% compared to 34.7% in Charlotte.
- There is a higher percentage of disabled individuals in Sikeston at 20.0% compared to 8.0% in Charlotte.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Charlotte | Sikeston |
|---|---|---|
| No Schooling | 1.2% (10,429) | 0.5% (76) |
| High School Diploma | 9.4% (84,002) | 23.0% (3,696) |
| Less than High School | 10.7% (95,990) | 13.3% (2,142) |
| Bachelor's Degree and Higher | 30.6% (274,311) | 16.3% (2,619) |
Education Levels Comparison: Charlotte vs Sikeston
- A higher percentage of residents in Charlotte have no formal schooling at 1.2% compared to 0.5% in Sikeston.
- In Sikeston, the rate of residents with high school diplomas is higher at 23.0% compared to 9.4% in Charlotte.
- The percentage of residents with less than a high school education is higher in Sikeston at 13.3%, compared to 10.7% in Charlotte.
- A higher percentage of residents in Charlotte hold a bachelor's degree or higher at 30.6% compared to 16.3% in Sikeston.
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.