Demographics details for New haven, WV vs Florence, OR
Population Overview
Compare main population characteristics in New haven, WV vs Florence, OR.
| Data | New haven | Florence |
|---|---|---|
| Population | 1,435 | 9,376 |
| Median Age | 48.3 years | 57.7 years |
| Median Income | $58,533 | $57,568 |
| Married Families | 53.0% | 42.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: New haven vs Florence
- The population in Florence is higher at 9,376, compared to 1,435 in New haven.
- The median age in Florence is higher at 57.7 years, compared to 48.3 years in New haven.
- New haven has a higher median income of $58,533 compared to $57,568 in Florence.
- A higher percentage of married families is found in New haven at 53.0% compared to 42.0% in Florence.
- New haven has a higher poverty level at 15% compared to 10% in Florence.
- Florence has a higher unemployment rate at 4.5% compared to 3.5% in New haven.
Demographics
Demographics New haven vs Florence provide insight into the diversity of the communities to compare.
| Demographic | New haven | Florence |
|---|---|---|
| Black | Data is updating | 2 |
| White | 96 | 87 |
| Asian | 2 | 2 |
| Hispanic | 2 | 5 |
| Two or More Races | Data is updating | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: New haven vs Florence
- In Florence, the percentage of Black residents is higher at 2% compared to 0% in New haven.
- New haven has a higher percentage of White residents at 96% compared to 87% in Florence.
- Both New haven and Florence have the same percentage of Asian residents at 2%.
- Florence has a higher percentage of Hispanic residents at 5%, compared to 2% in New haven.
- The percentage of residents identifying as two or more races is higher in Florence at 3%, compared to 0% in New haven.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in New haven.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New haven | Florence |
|---|---|---|
| Mental Health Not Good | 20.4% | 19.8% |
| Physical Health Not Good | 13.3% | 13.1% |
| Depression | 28.3% | 29.2% |
| Smoking | 21.7% | 16.7% |
| Binge Drinking | 14.6% | 17.0% |
| Obesity | 44.8% | 36.0% |
| Disability Percentage | 21.0% | 25.0% |
Health Statistics Comparison: New haven vs Florence
- More residents in New haven report poor mental health at 20.4% compared to 19.8% in Florence.
- Higher depression rates are seen in Florence at 29.2% versus 28.3% in New haven.
- Smoking is more prevalent in New haven at 21.7% compared to 16.7% in Florence.
- More residents engage in binge drinking in Florence at 17.0% compared to 14.6% in New haven.
- Obesity rates are higher in New haven at 44.8% compared to 36.0% in Florence.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 21.0% in New haven.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New haven | Florence |
|---|---|---|
| No Schooling | 4.0% (58) | 0.4% (35) |
| High School Diploma | 39.1% (561) | 14.2% (1,331) |
| Less than High School | 22.4% (322) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 13.2% (190) | 19.9% (1,865) |
Education Levels Comparison: New haven vs Florence
- A higher percentage of residents in New haven have no formal schooling at 4.0% compared to 0.4% in Florence.
- A higher percentage of residents in New haven hold a high school diploma at 39.1% compared to 14.2% in Florence.
- More residents in New haven have less than a high school education at 22.4% compared to 15.6% in Florence.
- In Florence, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 13.2% in New haven.
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.