Demographics details for Rincon, GA vs White house, TN
Population Overview
Compare main population characteristics in Rincon, GA vs White house, TN.
| Data | Rincon | White house |
|---|---|---|
| Population | 11,248 | 14,516 |
| Median Age | 31.4 years | 36.5 years |
| Median Income | $73,708 | $85,404 |
| Married Families | 41.0% | 46.0% |
| Poverty Level | 9% | 7% |
| Unemployment Rate | 4.0 | 3.4 |
Population Comparison: Rincon vs White house
- The population in White house is higher at 14,516, compared to 11,248 in Rincon.
- The median age in White house is higher at 36.5 years, compared to 31.4 years in Rincon.
- White house has a higher median income of $85,404, compared to $73,708 in Rincon.
- In White house, the percentage of married families is higher at 46.0%, compared to 41.0% in Rincon.
- Rincon has a higher poverty level at 9% compared to 7% in White house.
- The unemployment rate in Rincon is higher at 4.0%, compared to 3.4% in White house.
Demographics
Demographics Rincon vs White house provide insight into the diversity of the communities to compare.
| Demographic | Rincon | White house |
|---|---|---|
| Black | 19 | 2 |
| White | 69 | 87 |
| Asian | 2 | 1 |
| Hispanic | 6 | 4 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rincon vs White house
- A higher percentage of Black residents are in Rincon at 19% compared to 2% in White house.
- The percentage of White residents is higher in White house at 87% compared to 69% in Rincon.
- The Asian population is larger in Rincon at 2% compared to 1% in White house.
- The Hispanic community is larger in Rincon at 6% compared to 4% in White house.
- The percentage of residents identifying as two or more races is higher in White house at 6%, compared to 4% in Rincon.
- The percentage of American Indian residents is the same in both Rincon and White house at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rincon | White house |
|---|---|---|
| Mental Health Not Good | 16.3% | 17.5% |
| Physical Health Not Good | 11.2% | 11.0% |
| Depression | 20.6% | 27.6% |
| Smoking | 16.2% | 17.7% |
| Binge Drinking | 15.9% | 16.7% |
| Obesity | 37.7% | 32.5% |
| Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Rincon vs White house
- In White house, a higher percentage report poor mental health at 17.5% compared to 16.3% in Rincon.
- Higher depression rates are seen in White house at 27.6% versus 20.6% in Rincon.
- White house has a higher smoking rate at 17.7% compared to 16.2% in Rincon.
- More residents engage in binge drinking in White house at 16.7% compared to 15.9% in Rincon.
- Obesity rates are higher in Rincon at 37.7% compared to 32.5% in White house.
- There is a higher percentage of disabled individuals in White house at 11.0% compared to 9.0% in Rincon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rincon | White house |
|---|---|---|
| No Schooling | 0.5% (57) | 0.2% (30) |
| High School Diploma | 11.3% (1,274) | 18.0% (2,617) |
| Less than High School | 8.0% (905) | 12.4% (1,794) |
| Bachelor's Degree and Higher | 15.6% (1,754) | 15.4% (2,235) |
Education Levels Comparison: Rincon vs White house
- A higher percentage of residents in Rincon have no formal schooling at 0.5% compared to 0.2% in White house.
- In White house, the rate of residents with high school diplomas is higher at 18.0% compared to 11.3% in Rincon.
- The percentage of residents with less than a high school education is higher in White house at 12.4%, compared to 8.0% in Rincon.
- A higher percentage of residents in Rincon hold a bachelor's degree or higher at 15.6% compared to 15.4% in White house.
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.