Demographics details for Hampton, GA vs New london, CT
Population Overview
Compare main population characteristics in Hampton, GA vs New london, CT.
| Data | Hampton | New london |
|---|---|---|
| Population | 8,267 | 27,980 |
| Median Age | 32.9 years | 35.5 years |
| Median Income | $67,808 | $56,237 |
| Married Families | 33.0% | 24.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.0 | 3.6 |
Population Comparison: Hampton vs New london
- The population in New london is higher at 27,980, compared to 8,267 in Hampton.
- The median age in New london is higher at 35.5 years, compared to 32.9 years in Hampton.
- Hampton has a higher median income of $67,808 compared to $56,237 in New london.
- A higher percentage of married families is found in Hampton at 33.0% compared to 24.0% in New london.
- The poverty level is higher in New london at 12%, compared to 10% in Hampton.
- The unemployment rate in Hampton is higher at 4.0%, compared to 3.6% in New london.
Demographics
Demographics Hampton vs New london provide insight into the diversity of the communities to compare.
| Demographic | Hampton | New london |
|---|---|---|
| Black | 58 | 17 |
| White | 35 | 41 |
| Asian | Data is updating | 2 |
| Hispanic | 4 | 29 |
| Two or More Races | 3 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hampton vs New london
- A higher percentage of Black residents are in Hampton at 58% compared to 17% in New london.
- The percentage of White residents is higher in New london at 41% compared to 35% in Hampton.
- In New london, the Asian population stands at 2%, greater than 0% in Hampton.
- New london has a higher percentage of Hispanic residents at 29%, compared to 4% in Hampton.
- The percentage of residents identifying as two or more races is higher in New london at 11%, compared to 3% in Hampton.
- The percentage of American Indian residents is the same in both Hampton and New london at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hampton | New london |
|---|---|---|
| Mental Health Not Good | 16.2% | 17.9% |
| Physical Health Not Good | 11.2% | 12.5% |
| Depression | 20.7% | 23.3% |
| Smoking | 15.5% | 19.5% |
| Binge Drinking | 16.5% | 15.2% |
| Obesity | 37.0% | 37.1% |
| Disability Percentage | 6.0% | 14.0% |
Health Statistics Comparison: Hampton vs New london
- In New london, a higher percentage report poor mental health at 17.9% compared to 16.2% in Hampton.
- Higher depression rates are seen in New london at 23.3% versus 20.7% in Hampton.
- New london has a higher smoking rate at 19.5% compared to 15.5% in Hampton.
- Binge drinking is more common in Hampton at 16.5% compared to 15.2% in New london.
- New london has higher obesity rates at 37.1% compared to 37.0% in Hampton.
- There is a higher percentage of disabled individuals in New london at 14.0% compared to 6.0% in Hampton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hampton | New london |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (399) |
| High School Diploma | 19.6% (1,619) | 16.0% (4,487) |
| Less than High School | 3.5% (293) | 13.7% (3,830) |
| Bachelor's Degree and Higher | 13.8% (1,140) | 16.9% (4,738) |
Education Levels Comparison: Hampton vs New london
- In New london, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Hampton.
- A higher percentage of residents in Hampton hold a high school diploma at 19.6% compared to 16.0% in New london.
- The percentage of residents with less than a high school education is higher in New london at 13.7%, compared to 3.5% in Hampton.
- In New london, a larger share of residents have a bachelor's degree or higher at 16.9% 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.