Demographics details for Datil, NM vs Hampton, GA
Population Overview
Compare main population characteristics in Datil, NM vs Hampton, GA.
Data | Datil | Hampton |
---|---|---|
Population | 13 | 8,267 |
Median Age | 73.0 years | 32.9 years |
Median Income | $26,926 | $67,808 |
Married Families | Data is updating | 33.0% |
Poverty Level | Data is updating | 10% |
Unemployment Rate | 2.5 | 4.0 |
Population Comparison: Datil vs Hampton
- The population in Hampton is higher at 8,267, compared to 13 in Datil.
- Residents in Datil have a higher median age of 73.0 years compared to 32.9 years in Hampton.
- Hampton has a higher median income of $67,808, compared to $26,926 in Datil.
- In Hampton, the percentage of married families is higher at 33.0%, compared to 0.0% in Datil.
- The poverty level is higher in Hampton at 10%, compared to 0% in Datil.
- Hampton has a higher unemployment rate at 4.0% compared to 2.5% in Datil.
Demographics
Demographics Datil vs Hampton provide insight into the diversity of the communities to compare.
Demographic | Datil | Hampton |
---|---|---|
Black | Data is updating | 58 |
White | 100 | 35 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 4 |
Two or More Races | Data is updating | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Datil vs Hampton
- In Hampton, the percentage of Black residents is higher at 58% compared to 0% in Datil.
- Datil has a higher percentage of White residents at 100% compared to 35% in Hampton.
- Both Datil and Hampton have the same percentage of Asian residents at 0%.
- Hampton has a higher percentage of Hispanic residents at 4%, compared to 0% in Datil.
- The percentage of residents identifying as two or more races is higher in Hampton at 3%, compared to 0% in Datil.
- The percentage of American Indian residents is the same in both Datil and Hampton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Datil | Hampton |
---|---|---|
Mental Health Not Good | 15.4% | 16.2% |
Physical Health Not Good | 15.9% | 11.2% |
Depression | 21.7% | 20.7% |
Smoking | 19.3% | 15.5% |
Binge Drinking | 11.4% | 16.5% |
Obesity | 37.6% | 37.0% |
Disability Percentage | Data is updating% | 6.0% |
Health Statistics Comparison: Datil vs Hampton
- In Hampton, a higher percentage report poor mental health at 16.2% compared to 15.4% in Datil.
- Depression is more prevalent in Datil at 21.7% compared to 20.7% in Hampton.
- Smoking is more prevalent in Datil at 19.3% compared to 15.5% in Hampton.
- More residents engage in binge drinking in Hampton at 16.5% compared to 11.4% in Datil.
- Obesity rates are higher in Datil at 37.6% compared to 37.0% in Hampton.
- There is a higher percentage of disabled individuals in Hampton at 6.0% compared to 0.0% in Datil.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Datil | Hampton |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 0.0% (Data is updating) | 19.6% (1,619) |
Less than High School | 0.0% (Data is updating) | 3.5% (293) |
Bachelor's Degree and Higher | 100.0% (13) | 13.8% (1,140) |
Education Levels Comparison: Datil vs Hampton
- The percentage of residents with no formal schooling is the same in both Datil and Hampton at 0.0%.
- In Hampton, the rate of residents with high school diplomas is higher at 19.6% compared to 0.0% in Datil.
- The percentage of residents with less than a high school education is higher in Hampton at 3.5%, compared to 0.0% in Datil.
- A higher percentage of residents in Datil hold a bachelor's degree or higher at 100.0% compared to 13.8% in Hampton.
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.