Demographics details for Richmond hill, GA vs Keyport, WA
Population Overview
Compare main population characteristics in Richmond hill, GA vs Keyport, WA.
Data | Richmond hill | Keyport |
---|---|---|
Population | 18,091 | 284 |
Median Age | 31.0 years | 57.0 years |
Median Income | $83,519 | $128,221 |
Married Families | 35.0% | 58.0% |
Poverty Level | 10% | 5% |
Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Richmond hill vs Keyport
- In Richmond hill, the population is higher at 18,091, compared to 284 in Keyport.
- The median age in Keyport is higher at 57.0 years, compared to 31.0 years in Richmond hill.
- Keyport has a higher median income of $128,221, compared to $83,519 in Richmond hill.
- In Keyport, the percentage of married families is higher at 58.0%, compared to 35.0% in Richmond hill.
- Richmond hill has a higher poverty level at 10% compared to 5% in Keyport.
- The unemployment rate in Richmond hill is higher at 3.5%, compared to 3.0% in Keyport.
Demographics
Demographics Richmond hill vs Keyport provide insight into the diversity of the communities to compare.
Demographic | Richmond hill | Keyport |
---|---|---|
Black | 13 | Data is updating |
White | 66 | 95 |
Asian | 2 | Data is updating |
Hispanic | 11 | 5 |
Two or More Races | 8 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Richmond hill vs Keyport
- A higher percentage of Black residents are in Richmond hill at 13% compared to 0% in Keyport.
- The percentage of White residents is higher in Keyport at 95% compared to 66% in Richmond hill.
- The Asian population is larger in Richmond hill at 2% compared to 0% in Keyport.
- The Hispanic community is larger in Richmond hill at 11% compared to 5% in Keyport.
- More residents identify as two or more races in Richmond hill at 8% compared to 0% in Keyport.
- The percentage of American Indian residents is the same in both Richmond hill and Keyport at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Richmond hill | Keyport |
---|---|---|
Mental Health Not Good | 15.9% | 14.9% |
Physical Health Not Good | 10.6% | 9.2% |
Depression | 21.8% | 26.4% |
Smoking | 14.2% | 11.5% |
Binge Drinking | 16.2% | 18.9% |
Obesity | 34.4% | 30.8% |
Disability Percentage | 9.0% | 24.0% |
Health Statistics Comparison: Richmond hill vs Keyport
- More residents in Richmond hill report poor mental health at 15.9% compared to 14.9% in Keyport.
- Higher depression rates are seen in Keyport at 26.4% versus 21.8% in Richmond hill.
- Smoking is more prevalent in Richmond hill at 14.2% compared to 11.5% in Keyport.
- More residents engage in binge drinking in Keyport at 18.9% compared to 16.2% in Richmond hill.
- Obesity rates are higher in Richmond hill at 34.4% compared to 30.8% in Keyport.
- There is a higher percentage of disabled individuals in Keyport at 24.0% 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 | Keyport |
---|---|---|
No Schooling | 0.0% (9) | 6.0% (17) |
High School Diploma | 7.7% (1,395) | 8.8% (25) |
Less than High School | 5.7% (1,037) | 12.0% (34) |
Bachelor's Degree and Higher | 19.5% (3,532) | 37.3% (106) |
Education Levels Comparison: Richmond hill vs Keyport
- In Keyport, a larger percentage of residents lack formal schooling at 6.0% compared to 0.0% in Richmond hill.
- In Keyport, the rate of residents with high school diplomas is higher at 8.8% compared to 7.7% in Richmond hill.
- The percentage of residents with less than a high school education is higher in Keyport at 12.0%, compared to 5.7% in Richmond hill.
- In Keyport, a larger share of residents have a bachelor's degree or higher at 37.3% 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.