Demographics details for Richmond hill, GA vs Laurel, MT
Population Overview
Compare main population characteristics in Richmond hill, GA vs Laurel, MT.
Data | Richmond hill | Laurel |
---|---|---|
Population | 18,091 | 7,203 |
Median Age | 31.0 years | 36.5 years |
Median Income | $83,519 | $62,250 |
Married Families | 35.0% | 37.0% |
Poverty Level | 10% | 7% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Richmond hill vs Laurel
- In Richmond hill, the population is higher at 18,091, compared to 7,203 in Laurel.
- The median age in Laurel is higher at 36.5 years, compared to 31.0 years in Richmond hill.
- Richmond hill has a higher median income of $83,519 compared to $62,250 in Laurel.
- In Laurel, 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 7% in Laurel.
- The unemployment rate is the same in both Richmond hill and Laurel at 3.5%.
Demographics
Demographics Richmond hill vs Laurel provide insight into the diversity of the communities to compare.
Demographic | Richmond hill | Laurel |
---|---|---|
Black | 13 | Data is updating |
White | 66 | 83 |
Asian | 2 | 2 |
Hispanic | 11 | 7 |
Two or More Races | 8 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Richmond hill vs Laurel
- A higher percentage of Black residents are in Richmond hill at 13% compared to 0% in Laurel.
- The percentage of White residents is higher in Laurel at 83% compared to 66% in Richmond hill.
- Both Richmond hill and Laurel have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Richmond hill at 11% compared to 7% in Laurel.
- More residents identify as two or more races in Richmond hill at 8% compared to 7% in Laurel.
- In Laurel, 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 | Laurel |
---|---|---|
Mental Health Not Good | 15.9% | 16.4% |
Physical Health Not Good | 10.6% | 10.8% |
Depression | 21.8% | 27.8% |
Smoking | 14.2% | 15.8% |
Binge Drinking | 16.2% | 23.8% |
Obesity | 34.4% | 32.2% |
Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: Richmond hill vs Laurel
- In Laurel, a higher percentage report poor mental health at 16.4% compared to 15.9% in Richmond hill.
- Higher depression rates are seen in Laurel at 27.8% versus 21.8% in Richmond hill.
- Laurel has a higher smoking rate at 15.8% compared to 14.2% in Richmond hill.
- More residents engage in binge drinking in Laurel at 23.8% compared to 16.2% in Richmond hill.
- Obesity rates are higher in Richmond hill at 34.4% compared to 32.2% in Laurel.
- There is a higher percentage of disabled individuals in Laurel at 13.0% 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 | Laurel |
---|---|---|
No Schooling | 0.0% (9) | 0.2% (14) |
High School Diploma | 7.7% (1,395) | 21.7% (1,563) |
Less than High School | 5.7% (1,037) | 7.7% (556) |
Bachelor's Degree and Higher | 19.5% (3,532) | 10.8% (780) |
Education Levels Comparison: Richmond hill vs Laurel
- In Laurel, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Richmond hill.
- In Laurel, the rate of residents with high school diplomas is higher at 21.7% compared to 7.7% in Richmond hill.
- The percentage of residents with less than a high school education is higher in Laurel at 7.7%, 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 10.8% in Laurel.
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.