Demographics details for Cuthbert, GA vs Whiting, KS
Population Overview
Compare main population characteristics in Cuthbert, GA vs Whiting, KS.
| Data | Cuthbert | Whiting |
|---|---|---|
| Population | 2,939 | 195 |
| Median Age | 37.6 years | 33.7 years |
| Median Income | $21,278 | $52,000 |
| Married Families | 16.0% | 47.0% |
| Poverty Level | 28% | Data is updating |
| Unemployment Rate | 5.5 | Data is updating |
Population Comparison: Cuthbert vs Whiting
- In Cuthbert, the population is higher at 2,939, compared to 195 in Whiting.
- Residents in Cuthbert have a higher median age of 37.6 years compared to 33.7 years in Whiting.
- Whiting has a higher median income of $52,000, compared to $21,278 in Cuthbert.
- In Whiting, the percentage of married families is higher at 47.0%, compared to 16.0% in Cuthbert.
- Cuthbert has a higher poverty level at 28% compared to 0% in Whiting.
- The unemployment rate in Cuthbert is higher at 5.5%, compared to 0.0% in Whiting.
Demographics
Demographics Cuthbert vs Whiting provide insight into the diversity of the communities to compare.
| Demographic | Cuthbert | Whiting |
|---|---|---|
| Black | 92 | Data is updating |
| White | 1 | 87 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 2 |
| Two or More Races | 3 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cuthbert vs Whiting
- A higher percentage of Black residents are in Cuthbert at 92% compared to 0% in Whiting.
- The percentage of White residents is higher in Whiting at 87% compared to 1% in Cuthbert.
- Both Cuthbert and Whiting have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Cuthbert at 4% compared to 2% in Whiting.
- The percentage of residents identifying as two or more races is higher in Whiting at 11%, compared to 3% in Cuthbert.
- The percentage of American Indian residents is the same in both Cuthbert and Whiting at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cuthbert | Whiting |
|---|---|---|
| Mental Health Not Good | 21.4% | 16.1% |
| Physical Health Not Good | 18.1% | 9.9% |
| Depression | 20.9% | 22.9% |
| Smoking | 27.3% | 17.9% |
| Binge Drinking | 11.1% | 19.3% |
| Obesity | 50.4% | 39.3% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Cuthbert vs Whiting
- More residents in Cuthbert report poor mental health at 21.4% compared to 16.1% in Whiting.
- Higher depression rates are seen in Whiting at 22.9% versus 20.9% in Cuthbert.
- Smoking is more prevalent in Cuthbert at 27.3% compared to 17.9% in Whiting.
- More residents engage in binge drinking in Whiting at 19.3% compared to 11.1% in Cuthbert.
- Obesity rates are higher in Cuthbert at 50.4% compared to 39.3% in Whiting.
- Disability percentages are higher in Cuthbert at 17.0% compared to 13.0% in Whiting.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cuthbert | Whiting |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 20.6% (604) | 28.7% (56) |
| Less than High School | 17.1% (502) | 9.2% (18) |
| Bachelor's Degree and Higher | 9.6% (282) | 14.9% (29) |
Education Levels Comparison: Cuthbert vs Whiting
- The percentage of residents with no formal schooling is the same in both Cuthbert and Whiting at 0.0%.
- In Whiting, the rate of residents with high school diplomas is higher at 28.7% compared to 20.6% in Cuthbert.
- More residents in Cuthbert have less than a high school education at 17.1% compared to 9.2% in Whiting.
- In Whiting, a larger share of residents have a bachelor's degree or higher at 14.9% compared to 9.6% in Cuthbert.
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.