Demographics details for Gainesville, GA vs Sikeston, MO
Population Overview
Compare main population characteristics in Gainesville, GA vs Sikeston, MO.
Data | Gainesville | Sikeston |
---|---|---|
Population | 45,282 | 16,073 |
Median Age | 32.1 years | 37.3 years |
Median Income | $64,163 | $47,464 |
Married Families | 31.0% | 36.0% |
Poverty Level | 13% | 16% |
Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Gainesville vs Sikeston
- In Gainesville, the population is higher at 45,282, compared to 16,073 in Sikeston.
- The median age in Sikeston is higher at 37.3 years, compared to 32.1 years in Gainesville.
- Gainesville has a higher median income of $64,163 compared to $47,464 in Sikeston.
- In Sikeston, the percentage of married families is higher at 36.0%, compared to 31.0% in Gainesville.
- The poverty level is higher in Sikeston at 16%, compared to 13% in Gainesville.
- The unemployment rate in Gainesville is higher at 3.5%, compared to 3.4% in Sikeston.
Demographics
Demographics Gainesville vs Sikeston provide insight into the diversity of the communities to compare.
Demographic | Gainesville | Sikeston |
---|---|---|
Black | 15 | 25 |
White | 36 | 65 |
Asian | 3 | Data is updating |
Hispanic | 34 | 3 |
Two or More Races | 12 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Gainesville vs Sikeston
- In Sikeston, the percentage of Black residents is higher at 25% compared to 15% in Gainesville.
- The percentage of White residents is higher in Sikeston at 65% compared to 36% in Gainesville.
- The Asian population is larger in Gainesville at 3% compared to 0% in Sikeston.
- The Hispanic community is larger in Gainesville at 34% compared to 3% in Sikeston.
- More residents identify as two or more races in Gainesville at 12% compared to 7% in Sikeston.
- The percentage of American Indian residents is the same in both Gainesville and Sikeston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Gainesville | Sikeston |
---|---|---|
Mental Health Not Good | 17.3% | 19.8% |
Physical Health Not Good | 13.5% | 14.7% |
Depression | 20.5% | 24.6% |
Smoking | 17.7% | 23.9% |
Binge Drinking | 14.7% | 15.8% |
Obesity | 41.1% | 39.0% |
Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Gainesville vs Sikeston
- In Sikeston, a higher percentage report poor mental health at 19.8% compared to 17.3% in Gainesville.
- Higher depression rates are seen in Sikeston at 24.6% versus 20.5% in Gainesville.
- Sikeston has a higher smoking rate at 23.9% compared to 17.7% in Gainesville.
- More residents engage in binge drinking in Sikeston at 15.8% compared to 14.7% in Gainesville.
- Obesity rates are higher in Gainesville at 41.1% compared to 39.0% in Sikeston.
- There is a higher percentage of disabled individuals in Sikeston at 20.0% compared to 12.0% in Gainesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Gainesville | Sikeston |
---|---|---|
No Schooling | 3.3% (1,499) | 0.5% (76) |
High School Diploma | 13.1% (5,951) | 23.0% (3,696) |
Less than High School | 24.9% (11,266) | 13.3% (2,142) |
Bachelor's Degree and Higher | 14.8% (6,695) | 16.3% (2,619) |
Education Levels Comparison: Gainesville vs Sikeston
- A higher percentage of residents in Gainesville have no formal schooling at 3.3% compared to 0.5% in Sikeston.
- In Sikeston, the rate of residents with high school diplomas is higher at 23.0% compared to 13.1% in Gainesville.
- More residents in Gainesville have less than a high school education at 24.9% compared to 13.3% in Sikeston.
- In Sikeston, a larger share of residents have a bachelor's degree or higher at 16.3% compared to 14.8% in Gainesville.
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.