Demographics details for Richmond hill, GA vs Winger, MN
Population Overview
Compare main population characteristics in Richmond hill, GA vs Winger, MN.
| Data | Richmond hill | Winger |
|---|---|---|
| Population | 18,091 | 173 |
| Median Age | 31.0 years | 48.8 years |
| Median Income | $83,519 | $42,500 |
| Married Families | 35.0% | 37.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Richmond hill vs Winger
- In Richmond hill, the population is higher at 18,091, compared to 173 in Winger.
- The median age in Winger is higher at 48.8 years, compared to 31.0 years in Richmond hill.
- Richmond hill has a higher median income of $83,519 compared to $42,500 in Winger.
- In Winger, the percentage of married families is higher at 37.0%, compared to 35.0% in Richmond hill.
- Richmond hill has a higher poverty level at 10% compared to 0% in Winger.
- Winger has a higher unemployment rate at 4.5% compared to 3.5% in Richmond hill.
Demographics
Demographics Richmond hill vs Winger provide insight into the diversity of the communities to compare.
| Demographic | Richmond hill | Winger |
|---|---|---|
| Black | 13 | Data is updating |
| White | 66 | 88 |
| Asian | 2 | 1 |
| Hispanic | 11 | Data is updating |
| Two or More Races | 8 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Richmond hill vs Winger
- A higher percentage of Black residents are in Richmond hill at 13% compared to 0% in Winger.
- The percentage of White residents is higher in Winger at 88% compared to 66% in Richmond hill.
- The Asian population is larger in Richmond hill at 2% compared to 1% in Winger.
- The Hispanic community is larger in Richmond hill at 11% compared to 0% in Winger.
- The percentage of residents identifying as two or more races is higher in Winger at 10%, compared to 8% in Richmond hill.
- In Winger, the percentage of American Indian residents is higher at 1%, compared to 0% in Richmond hill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Richmond hill | Winger |
|---|---|---|
| Mental Health Not Good | 15.9% | 15.5% |
| Physical Health Not Good | 10.6% | 9.9% |
| Depression | 21.8% | 24.3% |
| Smoking | 14.2% | 19.8% |
| Binge Drinking | 16.2% | 21.9% |
| Obesity | 34.4% | 39.6% |
| Disability Percentage | 9.0% | 16.0% |
Health Statistics Comparison: Richmond hill vs Winger
- More residents in Richmond hill report poor mental health at 15.9% compared to 15.5% in Winger.
- Higher depression rates are seen in Winger at 24.3% versus 21.8% in Richmond hill.
- Winger has a higher smoking rate at 19.8% compared to 14.2% in Richmond hill.
- More residents engage in binge drinking in Winger at 21.9% compared to 16.2% in Richmond hill.
- Winger has higher obesity rates at 39.6% compared to 34.4% in Richmond hill.
- There is a higher percentage of disabled individuals in Winger at 16.0% 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 | Richmond hill | Winger |
|---|---|---|
| No Schooling | 0.0% (9) | 2.3% (4) |
| High School Diploma | 7.7% (1,395) | 14.5% (25) |
| Less than High School | 5.7% (1,037) | 20.2% (35) |
| Bachelor's Degree and Higher | 19.5% (3,532) | 12.7% (22) |
Education Levels Comparison: Richmond hill vs Winger
- In Winger, a larger percentage of residents lack formal schooling at 2.3% compared to 0.0% in Richmond hill.
- In Winger, the rate of residents with high school diplomas is higher at 14.5% compared to 7.7% in Richmond hill.
- The percentage of residents with less than a high school education is higher in Winger at 20.2%, compared to 5.7% in Richmond hill.
- A higher percentage of residents in Richmond hill hold a bachelor's degree or higher at 19.5% compared to 12.7% in Winger.
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.