Demographics details for Howard, CO vs Hancock, NH
Population Overview
Compare main population characteristics in Howard, CO vs Hancock, NH.
| Data | Howard | Hancock |
|---|---|---|
| Population | 976 | 1,654 |
| Median Age | 45.0 years | 50.0 years |
| Median Income | $55,970 | $85,000 |
| Married Families | 64.0% | 60.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Howard vs Hancock
- The population in Hancock is higher at 1,654, compared to 976 in Howard.
- The median age in Hancock is higher at 50.0 years, compared to 45.0 years in Howard.
- Hancock has a higher median income of $85,000, compared to $55,970 in Howard.
- A higher percentage of married families is found in Howard at 64.0% compared to 60.0% in Hancock.
- Howard has a higher poverty level at 10% compared to 5% in Hancock.
- The unemployment rate in Howard is higher at 3.5%, compared to 2.5% in Hancock.
Demographics
Demographics Howard vs Hancock provide insight into the diversity of the communities to compare.
| Demographic | Howard | Hancock |
|---|---|---|
| Black | 3 | Data is updating |
| White | 90 | 95 |
| Asian | Data is updating | 2 |
| Hispanic | 5 | Data is updating |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Howard vs Hancock
- A higher percentage of Black residents are in Howard at 3% compared to 0% in Hancock.
- The percentage of White residents is higher in Hancock at 95% compared to 90% in Howard.
- In Hancock, the Asian population stands at 2%, greater than 0% in Howard.
- The Hispanic community is larger in Howard at 5% compared to 0% in Hancock.
- The percentage of residents identifying as two or more races is higher in Hancock at 3%, compared to 2% in Howard.
- The percentage of American Indian residents is the same in both Howard and Hancock at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Howard | Hancock |
|---|---|---|
| Mental Health Not Good | 17.0% | Data is updating% |
| Physical Health Not Good | 11.2% | Data is updating% |
| Depression | 24.2% | Data is updating% |
| Smoking | 17.5% | Data is updating% |
| Binge Drinking | 18.6% | Data is updating% |
| Obesity | 27.3% | Data is updating% |
| Disability Percentage | 19.0% | Data is updating% |
Health Statistics Comparison: Howard vs Hancock
- More residents in Howard report poor mental health at 17.0% compared to 0.0% in Hancock.
- Depression is more prevalent in Howard at 24.2% compared to 0.0% in Hancock.
- Smoking is more prevalent in Howard at 17.5% compared to 0.0% in Hancock.
- Binge drinking is more common in Howard at 18.6% compared to 0.0% in Hancock.
- Obesity rates are higher in Howard at 27.3% compared to 0.0% in Hancock.
- Disability percentages are higher in Howard at 19.0% 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 | Howard | Hancock |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 31.8% (310) | 0.0% (Data is updating) |
| Less than High School | 1.4% (14) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 19.1% (186) | 0.0% (Data is updating) |
Education Levels Comparison: Howard vs Hancock
- The percentage of residents with no formal schooling is the same in both Howard and Hancock at 0.0%.
- A higher percentage of residents in Howard hold a high school diploma at 31.8% compared to 0.0% in Hancock.
- More residents in Howard have less than a high school education at 1.4% compared to 0.0% in Hancock.
- A higher percentage of residents in Howard hold a bachelor's degree or higher at 19.1% 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.