Demographics details for Florence, MA vs Benton, IL
Population Overview
Compare main population characteristics in Florence, MA vs Benton, IL.
Data | Florence | Benton |
---|---|---|
Population | 5,900 | 6,618 |
Median Age | 38.0 years | 40.8 years |
Median Income | $78,000 | $48,784 |
Married Families | 45.0% | 40.0% |
Poverty Level | 9% | 14% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Florence vs Benton
- The population in Benton is higher at 6,618, compared to 5,900 in Florence.
- The median age in Benton is higher at 40.8 years, compared to 38.0 years in Florence.
- Florence has a higher median income of $78,000 compared to $48,784 in Benton.
- A higher percentage of married families is found in Florence at 45.0% compared to 40.0% in Benton.
- The poverty level is higher in Benton at 14%, compared to 9% in Florence.
- The unemployment rate is the same in both Florence and Benton at 3.5%.
Demographics
Demographics Florence vs Benton provide insight into the diversity of the communities to compare.
Demographic | Florence | Benton |
---|---|---|
Black | 5 | 1 |
White | 90 | 88 |
Asian | 4 | Data is updating |
Hispanic | 1 | 4 |
Two or More Races | 2 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Florence vs Benton
- A higher percentage of Black residents are in Florence at 5% compared to 1% in Benton.
- Florence has a higher percentage of White residents at 90% compared to 88% in Benton.
- The Asian population is larger in Florence at 4% compared to 0% in Benton.
- Benton has a higher percentage of Hispanic residents at 4%, compared to 1% in Florence.
- The percentage of residents identifying as two or more races is higher in Benton at 7%, compared to 2% in Florence.
- The percentage of American Indian residents is the same in both Florence and Benton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Florence | Benton |
---|---|---|
Mental Health Not Good | Data is updating% | 18.8% |
Physical Health Not Good | Data is updating% | 13.5% |
Depression | Data is updating% | 24.5% |
Smoking | Data is updating% | 21.8% |
Binge Drinking | Data is updating% | 16.8% |
Obesity | Data is updating% | 40.1% |
Disability Percentage | Data is updating% | 19.0% |
Health Statistics Comparison: Florence vs Benton
- In Benton, a higher percentage report poor mental health at 18.8% compared to 0.0% in Florence.
- Higher depression rates are seen in Benton at 24.5% versus 0.0% in Florence.
- Benton has a higher smoking rate at 21.8% compared to 0.0% in Florence.
- More residents engage in binge drinking in Benton at 16.8% compared to 0.0% in Florence.
- Benton has higher obesity rates at 40.1% compared to 0.0% in Florence.
- There is a higher percentage of disabled individuals in Benton at 19.0% 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 | Benton |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (26) |
High School Diploma | 0.0% (Data is updating) | 19.8% (1,313) |
Less than High School | 0.0% (Data is updating) | 14.9% (989) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 15.8% (1,048) |
Education Levels Comparison: Florence vs Benton
- In Benton, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Florence.
- In Benton, the rate of residents with high school diplomas is higher at 19.8% compared to 0.0% in Florence.
- The percentage of residents with less than a high school education is higher in Benton at 14.9%, compared to 0.0% in Florence.
- In Benton, a larger share of residents have a bachelor's degree or higher at 15.8% 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.