Demographics details for Hurley, VA vs Griffin, GA
Population Overview
Compare main population characteristics in Hurley, VA vs Griffin, GA.
Data | Hurley | Griffin |
---|---|---|
Population | 181 | 23,693 |
Median Age | 35.0 years | 33.2 years |
Median Income | $45,000 | $42,047 |
Married Families | 60.0% | 26.0% |
Poverty Level | 15% | 15% |
Unemployment Rate | 5.0 | 4.5 |
Population Comparison: Hurley vs Griffin
- The population in Griffin is higher at 23,693, compared to 181 in Hurley.
- Residents in Hurley have a higher median age of 35.0 years compared to 33.2 years in Griffin.
- Hurley has a higher median income of $45,000 compared to $42,047 in Griffin.
- A higher percentage of married families is found in Hurley at 60.0% compared to 26.0% in Griffin.
- The poverty level is identical in both Hurley and Griffin at 15%.
- The unemployment rate in Hurley is higher at 5.0%, compared to 4.5% in Griffin.
Demographics
Demographics Hurley vs Griffin provide insight into the diversity of the communities to compare.
Demographic | Hurley | Griffin |
---|---|---|
Black | Data is updating | 52 |
White | 100 | 36 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 5 |
Two or More Races | Data is updating | 5 |
American Indian | Data is updating | 1 |
Demographics Comparison: Hurley vs Griffin
- In Griffin, the percentage of Black residents is higher at 52% compared to 0% in Hurley.
- Hurley has a higher percentage of White residents at 100% compared to 36% in Griffin.
- In Griffin, the Asian population stands at 1%, greater than 0% in Hurley.
- Griffin has a higher percentage of Hispanic residents at 5%, compared to 0% in Hurley.
- The percentage of residents identifying as two or more races is higher in Griffin at 5%, compared to 0% in Hurley.
- In Griffin, the percentage of American Indian residents is higher at 1%, compared to 0% in Hurley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hurley | Griffin |
---|---|---|
Mental Health Not Good | Data is updating% | 18.8% |
Physical Health Not Good | Data is updating% | 14.6% |
Depression | Data is updating% | 19.7% |
Smoking | Data is updating% | 22.4% |
Binge Drinking | Data is updating% | 13.4% |
Obesity | Data is updating% | 38.8% |
Disability Percentage | Data is updating% | 13.0% |
Health Statistics Comparison: Hurley vs Griffin
- In Griffin, a higher percentage report poor mental health at 18.8% compared to 0.0% in Hurley.
- Higher depression rates are seen in Griffin at 19.7% versus 0.0% in Hurley.
- Griffin has a higher smoking rate at 22.4% compared to 0.0% in Hurley.
- More residents engage in binge drinking in Griffin at 13.4% compared to 0.0% in Hurley.
- Griffin has higher obesity rates at 38.8% compared to 0.0% in Hurley.
- There is a higher percentage of disabled individuals in Griffin at 13.0% compared to 0.0% in Hurley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hurley | Griffin |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.2% (517) |
High School Diploma | 0.0% (Data is updating) | 22.6% (5,347) |
Less than High School | 0.0% (Data is updating) | 16.3% (3,859) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 11.9% (2,819) |
Education Levels Comparison: Hurley vs Griffin
- In Griffin, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Hurley.
- In Griffin, the rate of residents with high school diplomas is higher at 22.6% compared to 0.0% in Hurley.
- The percentage of residents with less than a high school education is higher in Griffin at 16.3%, compared to 0.0% in Hurley.
- In Griffin, a larger share of residents have a bachelor's degree or higher at 11.9% compared to 0.0% in Hurley.
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.