Demographics details for Florence, OR vs Northampton, MA
Population Overview
Compare main population characteristics in Florence, OR vs Northampton, MA.
| Data | Florence | Northampton |
|---|---|---|
| Population | 9,376 | 29,327 |
| Median Age | 57.7 years | 42.5 years |
| Median Income | $57,568 | $80,981 |
| Married Families | 42.0% | 34.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.5 | 3.4 |
Population Comparison: Florence vs Northampton
- The population in Northampton is higher at 29,327, compared to 9,376 in Florence.
- Residents in Florence have a higher median age of 57.7 years compared to 42.5 years in Northampton.
- Northampton has a higher median income of $80,981, compared to $57,568 in Florence.
- A higher percentage of married families is found in Florence at 42.0% compared to 34.0% in Northampton.
- The poverty level is higher in Northampton at 12%, compared to 10% in Florence.
- The unemployment rate in Florence is higher at 4.5%, compared to 3.4% in Northampton.
Demographics
Demographics Florence vs Northampton provide insight into the diversity of the communities to compare.
| Demographic | Florence | Northampton |
|---|---|---|
| Black | 2 | 2 |
| White | 87 | 81 |
| Asian | 2 | 4 |
| Hispanic | 5 | 8 |
| Two or More Races | 3 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Florence vs Northampton
- The percentage of Black residents is the same in both Florence and Northampton at 2%.
- Florence has a higher percentage of White residents at 87% compared to 81% in Northampton.
- In Northampton, the Asian population stands at 4%, greater than 2% in Florence.
- Northampton has a higher percentage of Hispanic residents at 8%, compared to 5% in Florence.
- The percentage of residents identifying as two or more races is higher in Northampton at 5%, compared to 3% in Florence.
- A greater percentage of American Indian residents live in Florence at 1% compared to 0% in Northampton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Northampton |
|---|---|---|
| Mental Health Not Good | 19.8% | 16.0% |
| Physical Health Not Good | 13.1% | 8.9% |
| Depression | 29.2% | 24.0% |
| Smoking | 16.7% | 11.7% |
| Binge Drinking | 17.0% | 17.1% |
| Obesity | 36.0% | 25.4% |
| Disability Percentage | 25.0% | 13.0% |
Health Statistics Comparison: Florence vs Northampton
- More residents in Florence report poor mental health at 19.8% compared to 16.0% in Northampton.
- Depression is more prevalent in Florence at 29.2% compared to 24.0% in Northampton.
- Smoking is more prevalent in Florence at 16.7% compared to 11.7% in Northampton.
- More residents engage in binge drinking in Northampton at 17.1% compared to 17.0% in Florence.
- Obesity rates are higher in Florence at 36.0% compared to 25.4% in Northampton.
- Disability percentages are higher in Florence at 25.0% compared to 13.0% in Northampton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Northampton |
|---|---|---|
| No Schooling | 0.4% (35) | 0.9% (260) |
| High School Diploma | 14.2% (1,331) | 7.3% (2,136) |
| Less than High School | 15.6% (1,467) | 8.0% (2,348) |
| Bachelor's Degree and Higher | 19.9% (1,865) | 43.5% (12,766) |
Education Levels Comparison: Florence vs Northampton
- In Northampton, a larger percentage of residents lack formal schooling at 0.9% compared to 0.4% in Florence.
- A higher percentage of residents in Florence hold a high school diploma at 14.2% compared to 7.3% in Northampton.
- More residents in Florence have less than a high school education at 15.6% compared to 8.0% in Northampton.
- In Northampton, a larger share of residents have a bachelor's degree or higher at 43.5% compared to 19.9% in Florence.
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.