Demographics details for Colbert, GA vs Florence, OR
Population Overview
Compare main population characteristics in Colbert, GA vs Florence, OR.
| Data | Colbert | Florence |
|---|---|---|
| Population | 654 | 9,376 |
| Median Age | 39.8 years | 57.7 years |
| Median Income | $53,917 | $57,568 |
| Married Families | 39.0% | 42.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Colbert vs Florence
- The population in Florence is higher at 9,376, compared to 654 in Colbert.
- The median age in Florence is higher at 57.7 years, compared to 39.8 years in Colbert.
- Florence has a higher median income of $57,568, compared to $53,917 in Colbert.
- In Florence, the percentage of married families is higher at 42.0%, compared to 39.0% in Colbert.
- Colbert has a higher poverty level at 14% compared to 10% in Florence.
- The unemployment rate is the same in both Colbert and Florence at 4.5%.
Demographics
Demographics Colbert vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Colbert | Florence |
|---|---|---|
| Black | 3 | 2 |
| White | 75 | 87 |
| Asian | Data is updating | 2 |
| Hispanic | 20 | 5 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Colbert vs Florence
- A higher percentage of Black residents are in Colbert at 3% compared to 2% in Florence.
- The percentage of White residents is higher in Florence at 87% compared to 75% in Colbert.
- In Florence, the Asian population stands at 2%, greater than 0% in Colbert.
- The Hispanic community is larger in Colbert at 20% compared to 5% in Florence.
- The percentage of residents identifying as two or more races is higher in Florence at 3%, compared to 2% in Colbert.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Colbert.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Colbert | Florence |
|---|---|---|
| Mental Health Not Good | 18.2% | 19.8% |
| Physical Health Not Good | 13.0% | 13.1% |
| Depression | 24.1% | 29.2% |
| Smoking | 19.7% | 16.7% |
| Binge Drinking | 16.3% | 17.0% |
| Obesity | 36.4% | 36.0% |
| Disability Percentage | 17.0% | 25.0% |
Health Statistics Comparison: Colbert vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 18.2% in Colbert.
- Higher depression rates are seen in Florence at 29.2% versus 24.1% in Colbert.
- Smoking is more prevalent in Colbert at 19.7% compared to 16.7% in Florence.
- More residents engage in binge drinking in Florence at 17.0% compared to 16.3% in Colbert.
- Obesity rates are higher in Colbert at 36.4% compared to 36.0% in Florence.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 17.0% in Colbert.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Colbert | Florence |
|---|---|---|
| No Schooling | 1.8% (12) | 0.4% (35) |
| High School Diploma | 14.8% (97) | 14.2% (1,331) |
| Less than High School | 22.0% (144) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 13.5% (88) | 19.9% (1,865) |
Education Levels Comparison: Colbert vs Florence
- A higher percentage of residents in Colbert have no formal schooling at 1.8% compared to 0.4% in Florence.
- A higher percentage of residents in Colbert hold a high school diploma at 14.8% compared to 14.2% in Florence.
- More residents in Colbert have less than a high school education at 22.0% compared to 15.6% in Florence.
- In Florence, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 13.5% in Colbert.
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.