Demographics details for Laurel, MS vs Hancock, NH
Population Overview
Compare main population characteristics in Laurel, MS vs Hancock, NH.
| Data | Laurel | Hancock |
|---|---|---|
| Population | 17,066 | 1,654 |
| Median Age | 37.6 years | 50.0 years |
| Median Income | $36,336 | $85,000 |
| Married Families | 29.0% | 60.0% |
| Poverty Level | 20% | 5% |
| Unemployment Rate | 5.4 | 2.5 |
Population Comparison: Laurel vs Hancock
- In Laurel, the population is higher at 17,066, compared to 1,654 in Hancock.
- The median age in Hancock is higher at 50.0 years, compared to 37.6 years in Laurel.
- Hancock has a higher median income of $85,000, compared to $36,336 in Laurel.
- In Hancock, the percentage of married families is higher at 60.0%, compared to 29.0% in Laurel.
- Laurel has a higher poverty level at 20% compared to 5% in Hancock.
- The unemployment rate in Laurel is higher at 5.4%, compared to 2.5% in Hancock.
Demographics
Demographics Laurel vs Hancock provide insight into the diversity of the communities to compare.
| Demographic | Laurel | Hancock |
|---|---|---|
| Black | 66 | Data is updating |
| White | 28 | 95 |
| Asian | Data is updating | 2 |
| Hispanic | 4 | Data is updating |
| Two or More Races | 1 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Laurel vs Hancock
- A higher percentage of Black residents are in Laurel at 66% compared to 0% in Hancock.
- The percentage of White residents is higher in Hancock at 95% compared to 28% in Laurel.
- In Hancock, the Asian population stands at 2%, greater than 0% in Laurel.
- The Hispanic community is larger in Laurel at 4% compared to 0% in Hancock.
- The percentage of residents identifying as two or more races is higher in Hancock at 3%, compared to 1% in Laurel.
- A greater percentage of American Indian residents live in Laurel at 1% compared to 0% in Hancock.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Laurel | Hancock |
|---|---|---|
| Mental Health Not Good | 17.9% | Data is updating% |
| Physical Health Not Good | 14.9% | Data is updating% |
| Depression | 21.8% | Data is updating% |
| Smoking | 23.1% | Data is updating% |
| Binge Drinking | 11.6% | Data is updating% |
| Obesity | 44.5% | Data is updating% |
| Disability Percentage | 18.0% | Data is updating% |
Health Statistics Comparison: Laurel vs Hancock
- More residents in Laurel report poor mental health at 17.9% compared to 0.0% in Hancock.
- Depression is more prevalent in Laurel at 21.8% compared to 0.0% in Hancock.
- Smoking is more prevalent in Laurel at 23.1% compared to 0.0% in Hancock.
- Binge drinking is more common in Laurel at 11.6% compared to 0.0% in Hancock.
- Obesity rates are higher in Laurel at 44.5% compared to 0.0% in Hancock.
- Disability percentages are higher in Laurel at 18.0% compared to 0.0% in Hancock.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Laurel | Hancock |
|---|---|---|
| No Schooling | 0.7% (124) | 0.0% (Data is updating) |
| High School Diploma | 17.3% (2,956) | 0.0% (Data is updating) |
| Less than High School | 17.5% (2,979) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 14.6% (2,485) | 0.0% (Data is updating) |
Education Levels Comparison: Laurel vs Hancock
- A higher percentage of residents in Laurel have no formal schooling at 0.7% compared to 0.0% in Hancock.
- A higher percentage of residents in Laurel hold a high school diploma at 17.3% compared to 0.0% in Hancock.
- More residents in Laurel have less than a high school education at 17.5% compared to 0.0% in Hancock.
- A higher percentage of residents in Laurel hold a bachelor's degree or higher at 14.6% compared to 0.0% in Hancock.
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.