Demographics details for Haines city, FL vs Marietta, GA
Population Overview
Compare main population characteristics in Haines city, FL vs Marietta, GA.
Data | Haines city | Marietta |
---|---|---|
Population | 33,629 | 62,602 |
Median Age | 36.7 years | 35.2 years |
Median Income | $57,718 | $67,589 |
Married Families | 30.0% | 31.0% |
Poverty Level | 16% | 11% |
Unemployment Rate | 5.6 | 3.5 |
Population Comparison: Haines city vs Marietta
- The population in Marietta is higher at 62,602, compared to 33,629 in Haines city.
- Residents in Haines city have a higher median age of 36.7 years compared to 35.2 years in Marietta.
- Marietta has a higher median income of $67,589, compared to $57,718 in Haines city.
- In Marietta, the percentage of married families is higher at 31.0%, compared to 30.0% in Haines city.
- Haines city has a higher poverty level at 16% compared to 11% in Marietta.
- The unemployment rate in Haines city is higher at 5.6%, compared to 3.5% in Marietta.
Demographics
Demographics Haines city vs Marietta provide insight into the diversity of the communities to compare.
Demographic | Haines city | Marietta |
---|---|---|
Black | 23 | 30 |
White | 26 | 41 |
Asian | 1 | 2 |
Hispanic | 40 | 18 |
Two or More Races | 10 | 8 |
American Indian | Data is updating | 1 |
Demographics Comparison: Haines city vs Marietta
- In Marietta, the percentage of Black residents is higher at 30% compared to 23% in Haines city.
- The percentage of White residents is higher in Marietta at 41% compared to 26% in Haines city.
- In Marietta, the Asian population stands at 2%, greater than 1% in Haines city.
- The Hispanic community is larger in Haines city at 40% compared to 18% in Marietta.
- More residents identify as two or more races in Haines city at 10% compared to 8% in Marietta.
- In Marietta, the percentage of American Indian residents is higher at 1%, compared to 0% in Haines city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Haines city | Marietta |
---|---|---|
Mental Health Not Good | 17.2% | 15.1% |
Physical Health Not Good | 15.0% | 11.1% |
Depression | 19.3% | 18.1% |
Smoking | 22.9% | 14.5% |
Binge Drinking | 13.6% | 14.5% |
Obesity | 41.2% | 32.3% |
Disability Percentage | 8.0% | 9.0% |
Health Statistics Comparison: Haines city vs Marietta
- More residents in Haines city report poor mental health at 17.2% compared to 15.1% in Marietta.
- Depression is more prevalent in Haines city at 19.3% compared to 18.1% in Marietta.
- Smoking is more prevalent in Haines city at 22.9% compared to 14.5% in Marietta.
- More residents engage in binge drinking in Marietta at 14.5% compared to 13.6% in Haines city.
- Obesity rates are higher in Haines city at 41.2% compared to 32.3% in Marietta.
- There is a higher percentage of disabled individuals in Marietta at 9.0% compared to 8.0% in Haines city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Haines city | Marietta |
---|---|---|
No Schooling | 1.8% (619) | 1.8% (1,148) |
High School Diploma | 18.3% (6,163) | 10.0% (6,250) |
Less than High School | 16.4% (5,501) | 13.1% (8,224) |
Bachelor's Degree and Higher | 10.1% (3,412) | 29.9% (18,706) |
Education Levels Comparison: Haines city vs Marietta
- The percentage of residents with no formal schooling is the same in both Haines city and Marietta at 1.8%.
- A higher percentage of residents in Haines city hold a high school diploma at 18.3% compared to 10.0% in Marietta.
- More residents in Haines city have less than a high school education at 16.4% compared to 13.1% in Marietta.
- In Marietta, a larger share of residents have a bachelor's degree or higher at 29.9% compared to 10.1% in Haines city.
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.