Demographics details for Seneca, SC vs Richmond hill, GA
Population Overview
Compare main population characteristics in Seneca, SC vs Richmond hill, GA.
| Data | Seneca | Richmond hill |
|---|---|---|
| Population | 8,979 | 18,091 |
| Median Age | 44.0 years | 31.0 years |
| Median Income | $48,108 | $83,519 |
| Married Families | 33.0% | 35.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.6 | 3.5 |
Population Comparison: Seneca vs Richmond hill
- The population in Richmond hill is higher at 18,091, compared to 8,979 in Seneca.
- Residents in Seneca have a higher median age of 44.0 years compared to 31.0 years in Richmond hill.
- Richmond hill has a higher median income of $83,519, compared to $48,108 in Seneca.
- In Richmond hill, the percentage of married families is higher at 35.0%, compared to 33.0% in Seneca.
- Seneca has a higher poverty level at 12% compared to 10% in Richmond hill.
- The unemployment rate in Seneca is higher at 3.6%, compared to 3.5% in Richmond hill.
Demographics
Demographics Seneca vs Richmond hill provide insight into the diversity of the communities to compare.
| Demographic | Seneca | Richmond hill |
|---|---|---|
| Black | 18 | 13 |
| White | 66 | 66 |
| Asian | 1 | 2 |
| Hispanic | 8 | 11 |
| Two or More Races | 7 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Seneca vs Richmond hill
- A higher percentage of Black residents are in Seneca at 18% compared to 13% in Richmond hill.
- The percentage of White residents is the same in both Seneca and Richmond hill at 66%.
- In Richmond hill, the Asian population stands at 2%, greater than 1% in Seneca.
- Richmond hill has a higher percentage of Hispanic residents at 11%, compared to 8% in Seneca.
- The percentage of residents identifying as two or more races is higher in Richmond hill at 8%, compared to 7% in Seneca.
- The percentage of American Indian residents is the same in both Seneca and Richmond hill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seneca | Richmond hill |
|---|---|---|
| Mental Health Not Good | 18.3% | 15.9% |
| Physical Health Not Good | 12.6% | 10.6% |
| Depression | 22.1% | 21.8% |
| Smoking | 19.8% | 14.2% |
| Binge Drinking | 16.7% | 16.2% |
| Obesity | 37.7% | 34.4% |
| Disability Percentage | 20.0% | 9.0% |
Health Statistics Comparison: Seneca vs Richmond hill
- More residents in Seneca report poor mental health at 18.3% compared to 15.9% in Richmond hill.
- Depression is more prevalent in Seneca at 22.1% compared to 21.8% in Richmond hill.
- Smoking is more prevalent in Seneca at 19.8% compared to 14.2% in Richmond hill.
- Binge drinking is more common in Seneca at 16.7% compared to 16.2% in Richmond hill.
- Obesity rates are higher in Seneca at 37.7% compared to 34.4% in Richmond hill.
- Disability percentages are higher in Seneca at 20.0% compared to 9.0% in Richmond hill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Seneca | Richmond hill |
|---|---|---|
| No Schooling | 0.7% (62) | 0.0% (9) |
| High School Diploma | 17.4% (1,563) | 7.7% (1,395) |
| Less than High School | 19.0% (1,704) | 5.7% (1,037) |
| Bachelor's Degree and Higher | 19.1% (1,718) | 19.5% (3,532) |
Education Levels Comparison: Seneca vs Richmond hill
- A higher percentage of residents in Seneca have no formal schooling at 0.7% compared to 0.0% in Richmond hill.
- A higher percentage of residents in Seneca hold a high school diploma at 17.4% compared to 7.7% in Richmond hill.
- More residents in Seneca have less than a high school education at 19.0% compared to 5.7% in Richmond hill.
- In Richmond hill, a larger share of residents have a bachelor's degree or higher at 19.5% compared to 19.1% in Seneca.
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.