Demographics details for Warner robins, GA vs Fort mill, SC
Population Overview
Compare main population characteristics in Warner robins, GA vs Fort mill, SC.
Data | Warner robins | Fort mill |
---|---|---|
Population | 82,175 | 30,940 |
Median Age | 32.4 years | 36.7 years |
Median Income | $63,678 | $128,125 |
Married Families | 32.0% | 37.0% |
Poverty Level | 8% | 5% |
Unemployment Rate | 3.8 | 4.1 |
Population Comparison: Warner robins vs Fort mill
- In Warner robins, the population is higher at 82,175, compared to 30,940 in Fort mill.
- The median age in Fort mill is higher at 36.7 years, compared to 32.4 years in Warner robins.
- Fort mill has a higher median income of $128,125, compared to $63,678 in Warner robins.
- In Fort mill, the percentage of married families is higher at 37.0%, compared to 32.0% in Warner robins.
- Warner robins has a higher poverty level at 8% compared to 5% in Fort mill.
- Fort mill has a higher unemployment rate at 4.1% compared to 3.8% in Warner robins.
Demographics
Demographics Warner robins vs Fort mill provide insight into the diversity of the communities to compare.
Demographic | Warner robins | Fort mill |
---|---|---|
Black | 40 | 9 |
White | 42 | 79 |
Asian | 3 | 3 |
Hispanic | 7 | 5 |
Two or More Races | 7 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Warner robins vs Fort mill
- A higher percentage of Black residents are in Warner robins at 40% compared to 9% in Fort mill.
- The percentage of White residents is higher in Fort mill at 79% compared to 42% in Warner robins.
- Both Warner robins and Fort mill have the same percentage of Asian residents at 3%.
- The Hispanic community is larger in Warner robins at 7% compared to 5% in Fort mill.
- More residents identify as two or more races in Warner robins at 7% compared to 4% in Fort mill.
- A greater percentage of American Indian residents live in Warner robins at 1% compared to 0% in Fort mill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Warner robins | Fort mill |
---|---|---|
Mental Health Not Good | 17.6% | 15.4% |
Physical Health Not Good | 13.1% | 9.4% |
Depression | 22.1% | 21.1% |
Smoking | 18.6% | 12.3% |
Binge Drinking | 15.9% | 18.3% |
Obesity | 39.9% | 31.6% |
Disability Percentage | 12.0% | 5.0% |
Health Statistics Comparison: Warner robins vs Fort mill
- More residents in Warner robins report poor mental health at 17.6% compared to 15.4% in Fort mill.
- Depression is more prevalent in Warner robins at 22.1% compared to 21.1% in Fort mill.
- Smoking is more prevalent in Warner robins at 18.6% compared to 12.3% in Fort mill.
- More residents engage in binge drinking in Fort mill at 18.3% compared to 15.9% in Warner robins.
- Obesity rates are higher in Warner robins at 39.9% compared to 31.6% in Fort mill.
- Disability percentages are higher in Warner robins at 12.0% compared to 5.0% in Fort mill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Warner robins | Fort mill |
---|---|---|
No Schooling | 0.4% (335) | 0.3% (78) |
High School Diploma | 14.9% (12,260) | 7.7% (2,372) |
Less than High School | 7.0% (5,714) | 2.8% (879) |
Bachelor's Degree and Higher | 19.2% (15,752) | 30.0% (9,271) |
Education Levels Comparison: Warner robins vs Fort mill
- A higher percentage of residents in Warner robins have no formal schooling at 0.4% compared to 0.3% in Fort mill.
- A higher percentage of residents in Warner robins hold a high school diploma at 14.9% compared to 7.7% in Fort mill.
- More residents in Warner robins have less than a high school education at 7.0% compared to 2.8% in Fort mill.
- In Fort mill, a larger share of residents have a bachelor's degree or higher at 30.0% compared to 19.2% in Warner robins.
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.