Demographics details for Edinburg, TX vs Forest park, GA
Population Overview
Compare main population characteristics in Edinburg, TX vs Forest park, GA.
Data | Edinburg | Forest park |
---|---|---|
Population | 104,294 | 19,400 |
Median Age | 29.9 years | 31.3 years |
Median Income | $54,139 | $41,837 |
Married Families | 30.0% | 23.0% |
Poverty Level | 21% | 10% |
Unemployment Rate | 5.3 | 4.5 |
Population Comparison: Edinburg vs Forest park
- In Edinburg, the population is higher at 104,294, compared to 19,400 in Forest park.
- The median age in Forest park is higher at 31.3 years, compared to 29.9 years in Edinburg.
- Edinburg has a higher median income of $54,139 compared to $41,837 in Forest park.
- A higher percentage of married families is found in Edinburg at 30.0% compared to 23.0% in Forest park.
- Edinburg has a higher poverty level at 21% compared to 10% in Forest park.
- The unemployment rate in Edinburg is higher at 5.3%, compared to 4.5% in Forest park.
Demographics
Demographics Edinburg vs Forest park provide insight into the diversity of the communities to compare.
Demographic | Edinburg | Forest park |
---|---|---|
Black | 2 | 55 |
White | -26 | 8 |
Asian | 2 | 6 |
Hispanic | 84 | 23 |
Two or More Races | 38 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Edinburg vs Forest park
- In Forest park, the percentage of Black residents is higher at 55% compared to 2% in Edinburg.
- The percentage of White residents is higher in Forest park at 8% compared to -26% in Edinburg.
- In Forest park, the Asian population stands at 6%, greater than 2% in Edinburg.
- The Hispanic community is larger in Edinburg at 84% compared to 23% in Forest park.
- More residents identify as two or more races in Edinburg at 38% compared to 8% in Forest park.
- The percentage of American Indian residents is the same in both Edinburg and Forest park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Edinburg | Forest park |
---|---|---|
Mental Health Not Good | 16.6% | 18.3% |
Physical Health Not Good | 13.9% | 16.0% |
Depression | 18.3% | 17.8% |
Smoking | 13.9% | 22.7% |
Binge Drinking | 17.0% | 13.3% |
Obesity | 42.7% | 43.0% |
Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Edinburg vs Forest park
- In Forest park, a higher percentage report poor mental health at 18.3% compared to 16.6% in Edinburg.
- Depression is more prevalent in Edinburg at 18.3% compared to 17.8% in Forest park.
- Forest park has a higher smoking rate at 22.7% compared to 13.9% in Edinburg.
- Binge drinking is more common in Edinburg at 17.0% compared to 13.3% in Forest park.
- Forest park has higher obesity rates at 43.0% compared to 42.7% in Edinburg.
- There is a higher percentage of disabled individuals in Forest park at 15.0% compared to 11.0% in Edinburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Edinburg | Forest park |
---|---|---|
No Schooling | 1.3% (1,343) | 2.6% (504) |
High School Diploma | 10.3% (10,758) | 18.4% (3,567) |
Less than High School | 22.5% (23,503) | 21.7% (4,202) |
Bachelor's Degree and Higher | 16.1% (16,818) | 6.4% (1,235) |
Education Levels Comparison: Edinburg vs Forest park
- In Forest park, a larger percentage of residents lack formal schooling at 2.6% compared to 1.3% in Edinburg.
- In Forest park, the rate of residents with high school diplomas is higher at 18.4% compared to 10.3% in Edinburg.
- More residents in Edinburg have less than a high school education at 22.5% compared to 21.7% in Forest park.
- A higher percentage of residents in Edinburg hold a bachelor's degree or higher at 16.1% 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.