Demographics details for Jefferson, MD vs Cordele, GA
Population Overview
Compare main population characteristics in Jefferson, MD vs Cordele, GA.
| Data | Jefferson | Cordele |
|---|---|---|
| Population | 2,742 | 9,914 |
| Median Age | 41.4 years | 36.7 years |
| Median Income | $137,667 | $33,166 |
| Married Families | 51.0% | 24.0% |
| Poverty Level | Data is updating | 20% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Jefferson vs Cordele
- The population in Cordele is higher at 9,914, compared to 2,742 in Jefferson.
- Residents in Jefferson have a higher median age of 41.4 years compared to 36.7 years in Cordele.
- Jefferson has a higher median income of $137,667 compared to $33,166 in Cordele.
- A higher percentage of married families is found in Jefferson at 51.0% compared to 24.0% in Cordele.
- The poverty level is higher in Cordele at 20%, compared to 0% in Jefferson.
- Cordele has a higher unemployment rate at 4.5% compared to 3.2% in Jefferson.
Demographics
Demographics Jefferson vs Cordele provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Cordele |
|---|---|---|
| Black | 6 | 72 |
| White | 82 | 26 |
| Asian | 3 | Data is updating |
| Hispanic | 5 | 2 |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Jefferson vs Cordele
- In Cordele, the percentage of Black residents is higher at 72% compared to 6% in Jefferson.
- Jefferson has a higher percentage of White residents at 82% compared to 26% in Cordele.
- The Asian population is larger in Jefferson at 3% compared to 0% in Cordele.
- The Hispanic community is larger in Jefferson at 5% compared to 2% in Cordele.
- More residents identify as two or more races in Jefferson at 4% compared to 0% in Cordele.
- The percentage of American Indian residents is the same in both Jefferson and Cordele at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Cordele |
|---|---|---|
| Mental Health Not Good | 14.8% | 20.4% |
| Physical Health Not Good | 7.8% | 16.5% |
| Depression | 20.4% | 21.7% |
| Smoking | 12.6% | 24.6% |
| Binge Drinking | 17.8% | 11.7% |
| Obesity | 32.1% | 46.6% |
| Disability Percentage | 11.0% | 20.0% |
Health Statistics Comparison: Jefferson vs Cordele
- In Cordele, a higher percentage report poor mental health at 20.4% compared to 14.8% in Jefferson.
- Higher depression rates are seen in Cordele at 21.7% versus 20.4% in Jefferson.
- Cordele has a higher smoking rate at 24.6% compared to 12.6% in Jefferson.
- Binge drinking is more common in Jefferson at 17.8% compared to 11.7% in Cordele.
- Cordele has higher obesity rates at 46.6% compared to 32.1% in Jefferson.
- There is a higher percentage of disabled individuals in Cordele at 20.0% compared to 11.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Cordele |
|---|---|---|
| No Schooling | 0.4% (10) | 0.6% (61) |
| High School Diploma | 18.8% (516) | 19.4% (1,923) |
| Less than High School | 2.3% (62) | 17.1% (1,693) |
| Bachelor's Degree and Higher | 27.4% (751) | 8.7% (866) |
Education Levels Comparison: Jefferson vs Cordele
- In Cordele, a larger percentage of residents lack formal schooling at 0.6% compared to 0.4% in Jefferson.
- In Cordele, the rate of residents with high school diplomas is higher at 19.4% compared to 18.8% in Jefferson.
- The percentage of residents with less than a high school education is higher in Cordele at 17.1%, compared to 2.3% in Jefferson.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 27.4% compared to 8.7% in Cordele.
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.