Demographics details for Florence, MS vs Essex, MD
Population Overview
Compare main population characteristics in Florence, MS vs Essex, MD.
| Data | Florence | Essex |
|---|---|---|
| Population | 4,704 | 40,842 |
| Median Age | 37.3 years | 40.4 years |
| Median Income | $88,750 | $67,580 |
| Married Families | 43.0% | 34.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Florence vs Essex
- The population in Essex is higher at 40,842, compared to 4,704 in Florence.
- The median age in Essex is higher at 40.4 years, compared to 37.3 years in Florence.
- Florence has a higher median income of $88,750 compared to $67,580 in Essex.
- A higher percentage of married families is found in Florence at 43.0% compared to 34.0% in Essex.
- The poverty level is identical in both Florence and Essex at 10%.
- The unemployment rate is the same in both Florence and Essex at 4.5%.
Demographics
Demographics Florence vs Essex provide insight into the diversity of the communities to compare.
| Demographic | Florence | Essex |
|---|---|---|
| Black | 13 | 32 |
| White | 87 | 55 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 5 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Florence vs Essex
- In Essex, the percentage of Black residents is higher at 32% compared to 13% in Florence.
- Florence has a higher percentage of White residents at 87% compared to 55% in Essex.
- In Essex, the Asian population stands at 2%, greater than 0% in Florence.
- Essex has a higher percentage of Hispanic residents at 5%, compared to 0% in Florence.
- The percentage of residents identifying as two or more races is higher in Essex at 6%, compared to 0% in Florence.
- The percentage of American Indian residents is the same in both Florence and Essex at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Essex |
|---|---|---|
| Mental Health Not Good | 17.3% | 18.3% |
| Physical Health Not Good | 11.8% | 11.4% |
| Depression | 24.0% | 24.3% |
| Smoking | 19.7% | 17.9% |
| Binge Drinking | 14.3% | 14.8% |
| Obesity | 37.6% | 39.8% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Florence vs Essex
- In Essex, a higher percentage report poor mental health at 18.3% compared to 17.3% in Florence.
- Higher depression rates are seen in Essex at 24.3% versus 24.0% in Florence.
- Smoking is more prevalent in Florence at 19.7% compared to 17.9% in Essex.
- More residents engage in binge drinking in Essex at 14.8% compared to 14.3% in Florence.
- Essex has higher obesity rates at 39.8% compared to 37.6% in Florence.
- There is a higher percentage of disabled individuals in Essex at 14.0% compared to 9.0% in Florence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Essex |
|---|---|---|
| No Schooling | 1.4% (65) | 1.8% (726) |
| High School Diploma | 19.7% (928) | 24.6% (10,043) |
| Less than High School | 7.8% (369) | 17.3% (7,057) |
| Bachelor's Degree and Higher | 16.4% (771) | 12.0% (4,908) |
Education Levels Comparison: Florence vs Essex
- In Essex, a larger percentage of residents lack formal schooling at 1.8% compared to 1.4% in Florence.
- In Essex, the rate of residents with high school diplomas is higher at 24.6% compared to 19.7% in Florence.
- The percentage of residents with less than a high school education is higher in Essex at 17.3%, compared to 7.8% in Florence.
- A higher percentage of residents in Florence hold a bachelor's degree or higher at 16.4% compared to 12.0% in Essex.
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.