Demographics details for Wheeling, WV vs Richmond hill, GA
Population Overview
Compare main population characteristics in Wheeling, WV vs Richmond hill, GA.
Data | Wheeling | Richmond hill |
---|---|---|
Population | 26,391 | 18,091 |
Median Age | 45.0 years | 31.0 years |
Median Income | $46,516 | $83,519 |
Married Families | 34.0% | 35.0% |
Poverty Level | 18% | 10% |
Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Wheeling vs Richmond hill
- In Wheeling, the population is higher at 26,391, compared to 18,091 in Richmond hill.
- Residents in Wheeling have a higher median age of 45.0 years compared to 31.0 years in Richmond hill.
- Richmond hill has a higher median income of $83,519, compared to $46,516 in Wheeling.
- In Richmond hill, the percentage of married families is higher at 35.0%, compared to 34.0% in Wheeling.
- Wheeling has a higher poverty level at 18% compared to 10% in Richmond hill.
- The unemployment rate in Wheeling is higher at 4.1%, compared to 3.5% in Richmond hill.
Demographics
Demographics Wheeling vs Richmond hill provide insight into the diversity of the communities to compare.
Demographic | Wheeling | Richmond hill |
---|---|---|
Black | 4 | 13 |
White | 90 | 66 |
Asian | 1 | 2 |
Hispanic | 1 | 11 |
Two or More Races | 4 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeling vs Richmond hill
- In Richmond hill, the percentage of Black residents is higher at 13% compared to 4% in Wheeling.
- Wheeling has a higher percentage of White residents at 90% compared to 66% in Richmond hill.
- In Richmond hill, the Asian population stands at 2%, greater than 1% in Wheeling.
- Richmond hill has a higher percentage of Hispanic residents at 11%, compared to 1% in Wheeling.
- The percentage of residents identifying as two or more races is higher in Richmond hill at 8%, compared to 4% in Wheeling.
- The percentage of American Indian residents is the same in both Wheeling and Richmond hill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wheeling | Richmond hill |
---|---|---|
Mental Health Not Good | 19.5% | 15.9% |
Physical Health Not Good | 13.3% | 10.6% |
Depression | 28.7% | 21.8% |
Smoking | 21.0% | 14.2% |
Binge Drinking | 14.4% | 16.2% |
Obesity | 40.4% | 34.4% |
Disability Percentage | 17.0% | 9.0% |
Health Statistics Comparison: Wheeling vs Richmond hill
- More residents in Wheeling report poor mental health at 19.5% compared to 15.9% in Richmond hill.
- Depression is more prevalent in Wheeling at 28.7% compared to 21.8% in Richmond hill.
- Smoking is more prevalent in Wheeling at 21.0% compared to 14.2% in Richmond hill.
- More residents engage in binge drinking in Richmond hill at 16.2% compared to 14.4% in Wheeling.
- Obesity rates are higher in Wheeling at 40.4% compared to 34.4% in Richmond hill.
- Disability percentages are higher in Wheeling at 17.0% 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 | Wheeling | Richmond hill |
---|---|---|
No Schooling | 0.5% (130) | 0.0% (9) |
High School Diploma | 22.3% (5,888) | 7.7% (1,395) |
Less than High School | 10.1% (2,653) | 5.7% (1,037) |
Bachelor's Degree and Higher | 23.5% (6,209) | 19.5% (3,532) |
Education Levels Comparison: Wheeling vs Richmond hill
- A higher percentage of residents in Wheeling have no formal schooling at 0.5% compared to 0.0% in Richmond hill.
- A higher percentage of residents in Wheeling hold a high school diploma at 22.3% compared to 7.7% in Richmond hill.
- More residents in Wheeling have less than a high school education at 10.1% compared to 5.7% in Richmond hill.
- A higher percentage of residents in Wheeling hold a bachelor's degree or higher at 23.5% compared to 19.5% in Richmond hill.
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.