Demographics details for Florence, OR vs Bossier city, LA
Population Overview
Compare main population characteristics in Florence, OR vs Bossier city, LA.
| Data | Florence | Bossier city |
|---|---|---|
| Population | 9,376 | 62,635 |
| Median Age | 57.7 years | 35.1 years |
| Median Income | $57,568 | $54,100 |
| Married Families | 42.0% | 35.0% |
| Poverty Level | 10% | 17% |
| Unemployment Rate | 4.5 | 4.1 |
Population Comparison: Florence vs Bossier city
- The population in Bossier city is higher at 62,635, compared to 9,376 in Florence.
- Residents in Florence have a higher median age of 57.7 years compared to 35.1 years in Bossier city.
- Florence has a higher median income of $57,568 compared to $54,100 in Bossier city.
- A higher percentage of married families is found in Florence at 42.0% compared to 35.0% in Bossier city.
- The poverty level is higher in Bossier city at 17%, compared to 10% in Florence.
- The unemployment rate in Florence is higher at 4.5%, compared to 4.1% in Bossier city.
Demographics
Demographics Florence vs Bossier city provide insight into the diversity of the communities to compare.
| Demographic | Florence | Bossier city |
|---|---|---|
| Black | 2 | 28 |
| White | 87 | 54 |
| Asian | 2 | 2 |
| Hispanic | 5 | 10 |
| Two or More Races | 3 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Florence vs Bossier city
- In Bossier city, the percentage of Black residents is higher at 28% compared to 2% in Florence.
- Florence has a higher percentage of White residents at 87% compared to 54% in Bossier city.
- Both Florence and Bossier city have the same percentage of Asian residents at 2%.
- Bossier city has a higher percentage of Hispanic residents at 10%, compared to 5% in Florence.
- The percentage of residents identifying as two or more races is higher in Bossier city at 6%, compared to 3% in Florence.
- A greater percentage of American Indian residents live in Florence at 1% compared to 0% in Bossier city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Bossier city |
|---|---|---|
| Mental Health Not Good | 19.8% | 19.4% |
| Physical Health Not Good | 13.1% | 13.6% |
| Depression | 29.2% | 25.0% |
| Smoking | 16.7% | 21.2% |
| Binge Drinking | 17.0% | 16.9% |
| Obesity | 36.0% | 38.8% |
| Disability Percentage | 25.0% | 14.0% |
Health Statistics Comparison: Florence vs Bossier city
- More residents in Florence report poor mental health at 19.8% compared to 19.4% in Bossier city.
- Depression is more prevalent in Florence at 29.2% compared to 25.0% in Bossier city.
- Bossier city has a higher smoking rate at 21.2% compared to 16.7% in Florence.
- Binge drinking is more common in Florence at 17.0% compared to 16.9% in Bossier city.
- Bossier city has higher obesity rates at 38.8% compared to 36.0% in Florence.
- Disability percentages are higher in Florence at 25.0% compared to 14.0% in Bossier city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Bossier city |
|---|---|---|
| No Schooling | 0.4% (35) | 0.6% (400) |
| High School Diploma | 14.2% (1,331) | 17.8% (11,155) |
| Less than High School | 15.6% (1,467) | 11.7% (7,331) |
| Bachelor's Degree and Higher | 19.9% (1,865) | 16.1% (10,063) |
Education Levels Comparison: Florence vs Bossier city
- In Bossier city, a larger percentage of residents lack formal schooling at 0.6% compared to 0.4% in Florence.
- In Bossier city, the rate of residents with high school diplomas is higher at 17.8% compared to 14.2% in Florence.
- More residents in Florence have less than a high school education at 15.6% compared to 11.7% in Bossier city.
- A higher percentage of residents in Florence hold a bachelor's degree or higher at 19.9% compared to 16.1% in Bossier city.
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.