Demographics details for Florence, MA vs Fulton, MO
Population Overview
Compare main population characteristics in Florence, MA vs Fulton, MO.
| Data | Florence | Fulton |
|---|---|---|
| Population | 5,900 | 12,710 |
| Median Age | 38.0 years | 33.9 years |
| Median Income | $78,000 | $59,544 |
| Married Families | 45.0% | 29.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Florence vs Fulton
- The population in Fulton is higher at 12,710, compared to 5,900 in Florence.
- Residents in Florence have a higher median age of 38.0 years compared to 33.9 years in Fulton.
- Florence has a higher median income of $78,000 compared to $59,544 in Fulton.
- A higher percentage of married families is found in Florence at 45.0% compared to 29.0% in Fulton.
- The poverty level is higher in Fulton at 10%, compared to 9% in Florence.
- Fulton has a higher unemployment rate at 4.2% compared to 3.5% in Florence.
Demographics
Demographics Florence vs Fulton provide insight into the diversity of the communities to compare.
| Demographic | Florence | Fulton |
|---|---|---|
| Black | 5 | 9 |
| White | 90 | 86 |
| Asian | 4 | Data is updating |
| Hispanic | 1 | 3 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Florence vs Fulton
- In Fulton, the percentage of Black residents is higher at 9% compared to 5% in Florence.
- Florence has a higher percentage of White residents at 90% compared to 86% in Fulton.
- The Asian population is larger in Florence at 4% compared to 0% in Fulton.
- Fulton has a higher percentage of Hispanic residents at 3%, compared to 1% in Florence.
- Both Florence and Fulton have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Florence and Fulton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Fulton |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.5% |
| Physical Health Not Good | Data is updating% | 13.9% |
| Depression | Data is updating% | 24.3% |
| Smoking | Data is updating% | 24.7% |
| Binge Drinking | Data is updating% | 17.1% |
| Obesity | Data is updating% | 39.9% |
| Disability Percentage | Data is updating% | 11.0% |
Health Statistics Comparison: Florence vs Fulton
- In Fulton, a higher percentage report poor mental health at 18.5% compared to 0.0% in Florence.
- Higher depression rates are seen in Fulton at 24.3% versus 0.0% in Florence.
- Fulton has a higher smoking rate at 24.7% compared to 0.0% in Florence.
- More residents engage in binge drinking in Fulton at 17.1% compared to 0.0% in Florence.
- Fulton has higher obesity rates at 39.9% compared to 0.0% in Florence.
- There is a higher percentage of disabled individuals in Fulton at 11.0% compared to 0.0% in Florence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Fulton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (3) |
| High School Diploma | 0.0% (Data is updating) | 16.3% (2,077) |
| Less than High School | 0.0% (Data is updating) | 16.9% (2,154) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 14.7% (1,867) |
Education Levels Comparison: Florence vs Fulton
- The percentage of residents with no formal schooling is the same in both Florence and Fulton at 0.0%.
- In Fulton, the rate of residents with high school diplomas is higher at 16.3% compared to 0.0% in Florence.
- The percentage of residents with less than a high school education is higher in Fulton at 16.9%, compared to 0.0% in Florence.
- In Fulton, a larger share of residents have a bachelor's degree or higher at 14.7% compared to 0.0% 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.