Demographics details for Hampton, VA vs New london, CT
Population Overview
Compare main population characteristics in Hampton, VA vs New london, CT.
| Data | Hampton | New london |
|---|---|---|
| Population | 138,037 | 27,980 |
| Median Age | 36.5 years | 35.5 years |
| Median Income | $64,430 | $56,237 |
| Married Families | 34.0% | 24.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.7 | 3.6 |
Population Comparison: Hampton vs New london
- In Hampton, the population is higher at 138,037, compared to 27,980 in New london.
- Residents in Hampton have a higher median age of 36.5 years compared to 35.5 years in New london.
- Hampton has a higher median income of $64,430 compared to $56,237 in New london.
- A higher percentage of married families is found in Hampton at 34.0% compared to 24.0% in New london.
- The poverty level is identical in both Hampton and New london at 12%.
- The unemployment rate in Hampton is higher at 3.7%, 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 | 49 | 17 |
| White | 34 | 41 |
| Asian | 2 | 2 |
| Hispanic | 7 | 29 |
| Two or More Races | 8 | 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 49% compared to 17% in New london.
- The percentage of White residents is higher in New london at 41% compared to 34% in Hampton.
- Both Hampton and New london have the same percentage of Asian residents at 2%.
- New london has a higher percentage of Hispanic residents at 29%, compared to 7% in Hampton.
- The percentage of residents identifying as two or more races is higher in New london at 11%, compared to 8% 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 | 16.8% | 17.9% |
| Physical Health Not Good | 11.3% | 12.5% |
| Depression | 21.1% | 23.3% |
| Smoking | 17.7% | 19.5% |
| Binge Drinking | 15.2% | 15.2% |
| Obesity | 42.6% | 37.1% |
| Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Hampton vs New london
- In New london, a higher percentage report poor mental health at 17.9% compared to 16.8% in Hampton.
- Higher depression rates are seen in New london at 23.3% versus 21.1% in Hampton.
- New london has a higher smoking rate at 19.5% compared to 17.7% in Hampton.
- Binge drinking rates are similar in both Hampton and New london at 15.2%.
- Obesity rates are higher in Hampton at 42.6% compared to 37.1% in New london.
- Disability percentages are higher in Hampton at 15.0% compared to 14.0% in New london.
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 | 0.7% (1,033) | 1.4% (399) |
| High School Diploma | 16.8% (23,123) | 16.0% (4,487) |
| Less than High School | 7.0% (9,612) | 13.7% (3,830) |
| Bachelor's Degree and Higher | 18.5% (25,602) | 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 0.7% in Hampton.
- A higher percentage of residents in Hampton hold a high school diploma at 16.8% 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 7.0% in Hampton.
- A higher percentage of residents in Hampton hold a bachelor's degree or higher at 18.5% compared to 16.9% in New london.
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.