Demographics details for Forest park, GA vs Watertown, SD
Population Overview
Compare main population characteristics in Forest park, GA vs Watertown, SD.
| Data | Forest park | Watertown |
|---|---|---|
| Population | 19,400 | 23,019 |
| Median Age | 31.3 years | 38.9 years |
| Median Income | $41,837 | $61,320 |
| Married Families | 23.0% | 40.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Forest park vs Watertown
- The population in Watertown is higher at 23,019, compared to 19,400 in Forest park.
- The median age in Watertown is higher at 38.9 years, compared to 31.3 years in Forest park.
- Watertown has a higher median income of $61,320, compared to $41,837 in Forest park.
- In Watertown, the percentage of married families is higher at 40.0%, compared to 23.0% in Forest park.
- The poverty level is identical in both Forest park and Watertown at 10%.
- The unemployment rate in Forest park is higher at 4.5%, compared to 3.5% in Watertown.
Demographics
Demographics Forest park vs Watertown provide insight into the diversity of the communities to compare.
| Demographic | Forest park | Watertown |
|---|---|---|
| Black | 55 | 1 |
| White | 8 | 87 |
| Asian | 6 | 1 |
| Hispanic | 23 | 4 |
| Two or More Races | 8 | 4 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Forest park vs Watertown
- A higher percentage of Black residents are in Forest park at 55% compared to 1% in Watertown.
- The percentage of White residents is higher in Watertown at 87% compared to 8% in Forest park.
- The Asian population is larger in Forest park at 6% compared to 1% in Watertown.
- The Hispanic community is larger in Forest park at 23% compared to 4% in Watertown.
- More residents identify as two or more races in Forest park at 8% compared to 4% in Watertown.
- In Watertown, the percentage of American Indian residents is higher at 3%, compared to 0% in Forest park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest park | Watertown |
|---|---|---|
| Mental Health Not Good | 18.3% | 13.4% |
| Physical Health Not Good | 16.0% | 9.4% |
| Depression | 17.8% | 20.1% |
| Smoking | 22.7% | 18.3% |
| Binge Drinking | 13.3% | 20.1% |
| Obesity | 43.0% | 37.2% |
| Disability Percentage | 15.0% | 13.0% |
Health Statistics Comparison: Forest park vs Watertown
- More residents in Forest park report poor mental health at 18.3% compared to 13.4% in Watertown.
- Higher depression rates are seen in Watertown at 20.1% versus 17.8% in Forest park.
- Smoking is more prevalent in Forest park at 22.7% compared to 18.3% in Watertown.
- More residents engage in binge drinking in Watertown at 20.1% compared to 13.3% in Forest park.
- Obesity rates are higher in Forest park at 43.0% compared to 37.2% in Watertown.
- Disability percentages are higher in Forest park at 15.0% compared to 13.0% in Watertown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Forest park | Watertown |
|---|---|---|
| No Schooling | 2.6% (504) | 1.6% (364) |
| High School Diploma | 18.4% (3,567) | 23.1% (5,313) |
| Less than High School | 21.7% (4,202) | 11.9% (2,738) |
| Bachelor's Degree and Higher | 6.4% (1,235) | 13.7% (3,162) |
Education Levels Comparison: Forest park vs Watertown
- A higher percentage of residents in Forest park have no formal schooling at 2.6% compared to 1.6% in Watertown.
- In Watertown, the rate of residents with high school diplomas is higher at 23.1% compared to 18.4% in Forest park.
- More residents in Forest park have less than a high school education at 21.7% compared to 11.9% in Watertown.
- In Watertown, a larger share of residents have a bachelor's degree or higher at 13.7% 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.