Demographics details for Forest park, GA vs Sikeston, MO
Population Overview
Compare main population characteristics in Forest park, GA vs Sikeston, MO.
| Data | Forest park | Sikeston |
|---|---|---|
| Population | 19,400 | 16,073 |
| Median Age | 31.3 years | 37.3 years |
| Median Income | $41,837 | $47,464 |
| Married Families | 23.0% | 36.0% |
| Poverty Level | 10% | 16% |
| Unemployment Rate | 4.5 | 3.4 |
Population Comparison: Forest park vs Sikeston
- In Forest park, the population is higher at 19,400, compared to 16,073 in Sikeston.
- The median age in Sikeston is higher at 37.3 years, compared to 31.3 years in Forest park.
- Sikeston has a higher median income of $47,464, compared to $41,837 in Forest park.
- In Sikeston, the percentage of married families is higher at 36.0%, compared to 23.0% in Forest park.
- The poverty level is higher in Sikeston at 16%, compared to 10% in Forest park.
- The unemployment rate in Forest park is higher at 4.5%, compared to 3.4% in Sikeston.
Demographics
Demographics Forest park vs Sikeston provide insight into the diversity of the communities to compare.
| Demographic | Forest park | Sikeston |
|---|---|---|
| Black | 55 | 25 |
| White | 8 | 65 |
| Asian | 6 | Data is updating |
| Hispanic | 23 | 3 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest park vs Sikeston
- A higher percentage of Black residents are in Forest park at 55% compared to 25% in Sikeston.
- The percentage of White residents is higher in Sikeston at 65% compared to 8% in Forest park.
- The Asian population is larger in Forest park at 6% compared to 0% in Sikeston.
- The Hispanic community is larger in Forest park at 23% compared to 3% in Sikeston.
- More residents identify as two or more races in Forest park at 8% compared to 7% in Sikeston.
- The percentage of American Indian residents is the same in both Forest park and Sikeston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest park | Sikeston |
|---|---|---|
| Mental Health Not Good | 18.3% | 19.8% |
| Physical Health Not Good | 16.0% | 14.7% |
| Depression | 17.8% | 24.6% |
| Smoking | 22.7% | 23.9% |
| Binge Drinking | 13.3% | 15.8% |
| Obesity | 43.0% | 39.0% |
| Disability Percentage | 15.0% | 20.0% |
Health Statistics Comparison: Forest park vs Sikeston
- In Sikeston, a higher percentage report poor mental health at 19.8% compared to 18.3% in Forest park.
- Higher depression rates are seen in Sikeston at 24.6% versus 17.8% in Forest park.
- Sikeston has a higher smoking rate at 23.9% compared to 22.7% in Forest park.
- More residents engage in binge drinking in Sikeston at 15.8% compared to 13.3% in Forest park.
- Obesity rates are higher in Forest park at 43.0% compared to 39.0% in Sikeston.
- There is a higher percentage of disabled individuals in Sikeston at 20.0% compared to 15.0% in Forest park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Forest park | Sikeston |
|---|---|---|
| No Schooling | 2.6% (504) | 0.5% (76) |
| High School Diploma | 18.4% (3,567) | 23.0% (3,696) |
| Less than High School | 21.7% (4,202) | 13.3% (2,142) |
| Bachelor's Degree and Higher | 6.4% (1,235) | 16.3% (2,619) |
Education Levels Comparison: Forest park vs Sikeston
- A higher percentage of residents in Forest park have no formal schooling at 2.6% compared to 0.5% in Sikeston.
- In Sikeston, the rate of residents with high school diplomas is higher at 23.0% compared to 18.4% in Forest park.
- More residents in Forest park have less than a high school education at 21.7% 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 6.4% in Forest park.
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.