Demographics details for Cadet, MO vs Fort valley, GA
Population Overview
Compare main population characteristics in Cadet, MO vs Fort valley, GA.
Data | Cadet | Fort valley |
---|---|---|
Population | 121 | 8,838 |
Median Age | 36.0 years | 30.6 years |
Median Income | $50,000 | $31,807 |
Married Families | 40.0% | 18.0% |
Poverty Level | 15% | 25% |
Unemployment Rate | 4.0 | 4.5 |
Population Comparison: Cadet vs Fort valley
- The population in Fort valley is higher at 8,838, compared to 121 in Cadet.
- Residents in Cadet have a higher median age of 36.0 years compared to 30.6 years in Fort valley.
- Cadet has a higher median income of $50,000 compared to $31,807 in Fort valley.
- A higher percentage of married families is found in Cadet at 40.0% compared to 18.0% in Fort valley.
- The poverty level is higher in Fort valley at 25%, compared to 15% in Cadet.
- Fort valley has a higher unemployment rate at 4.5% compared to 4.0% in Cadet.
Demographics
Demographics Cadet vs Fort valley provide insight into the diversity of the communities to compare.
Demographic | Cadet | Fort valley |
---|---|---|
Black | 2 | 70 |
White | 95 | 18 |
Asian | 1 | Data is updating |
Hispanic | 1 | 8 |
Two or More Races | 1 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cadet vs Fort valley
- In Fort valley, the percentage of Black residents is higher at 70% compared to 2% in Cadet.
- Cadet has a higher percentage of White residents at 95% compared to 18% in Fort valley.
- The Asian population is larger in Cadet at 1% compared to 0% in Fort valley.
- Fort valley has a higher percentage of Hispanic residents at 8%, compared to 1% in Cadet.
- The percentage of residents identifying as two or more races is higher in Fort valley at 4%, compared to 1% in Cadet.
- The percentage of American Indian residents is the same in both Cadet and Fort valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cadet | Fort valley |
---|---|---|
Mental Health Not Good | Data is updating% | 19.2% |
Physical Health Not Good | Data is updating% | 15.5% |
Depression | Data is updating% | 19.5% |
Smoking | Data is updating% | 22.3% |
Binge Drinking | Data is updating% | 11.8% |
Obesity | Data is updating% | 46.2% |
Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Cadet vs Fort valley
- In Fort valley, a higher percentage report poor mental health at 19.2% compared to 0.0% in Cadet.
- Higher depression rates are seen in Fort valley at 19.5% versus 0.0% in Cadet.
- Fort valley has a higher smoking rate at 22.3% compared to 0.0% in Cadet.
- More residents engage in binge drinking in Fort valley at 11.8% compared to 0.0% in Cadet.
- Fort valley has higher obesity rates at 46.2% compared to 0.0% in Cadet.
- There is a higher percentage of disabled individuals in Fort valley at 16.0% compared to 0.0% in Cadet.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cadet | Fort valley |
---|---|---|
No Schooling | 0.0% (Data is updating) | 3.0% (267) |
High School Diploma | 0.0% (Data is updating) | 13.9% (1,226) |
Less than High School | 0.0% (Data is updating) | 17.3% (1,527) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 10.8% (954) |
Education Levels Comparison: Cadet vs Fort valley
- In Fort valley, a larger percentage of residents lack formal schooling at 3.0% compared to 0.0% in Cadet.
- In Fort valley, the rate of residents with high school diplomas is higher at 13.9% compared to 0.0% in Cadet.
- The percentage of residents with less than a high school education is higher in Fort valley at 17.3%, compared to 0.0% in Cadet.
- In Fort valley, a larger share of residents have a bachelor's degree or higher at 10.8% compared to 0.0% in Cadet.
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.