Demographics details for Cordele, GA vs Mountain home, ID
Population Overview
Compare main population characteristics in Cordele, GA vs Mountain home, ID.
Data | Cordele | Mountain home |
---|---|---|
Population | 9,914 | 16,469 |
Median Age | 36.7 years | 31.3 years |
Median Income | $33,166 | $53,108 |
Married Families | 24.0% | 36.0% |
Poverty Level | 20% | 12% |
Unemployment Rate | 4.5 | 3.1 |
Population Comparison: Cordele vs Mountain home
- The population in Mountain home is higher at 16,469, compared to 9,914 in Cordele.
- Residents in Cordele have a higher median age of 36.7 years compared to 31.3 years in Mountain home.
- Mountain home has a higher median income of $53,108, compared to $33,166 in Cordele.
- In Mountain home, the percentage of married families is higher at 36.0%, compared to 24.0% in Cordele.
- Cordele has a higher poverty level at 20% compared to 12% in Mountain home.
- The unemployment rate in Cordele is higher at 4.5%, compared to 3.1% in Mountain home.
Demographics
Demographics Cordele vs Mountain home provide insight into the diversity of the communities to compare.
Demographic | Cordele | Mountain home |
---|---|---|
Black | 72 | 2 |
White | 26 | 69 |
Asian | Data is updating | 4 |
Hispanic | 2 | 14 |
Two or More Races | Data is updating | 9 |
American Indian | Data is updating | 2 |
Demographics Comparison: Cordele vs Mountain home
- A higher percentage of Black residents are in Cordele at 72% compared to 2% in Mountain home.
- The percentage of White residents is higher in Mountain home at 69% compared to 26% in Cordele.
- In Mountain home, the Asian population stands at 4%, greater than 0% in Cordele.
- Mountain home has a higher percentage of Hispanic residents at 14%, compared to 2% in Cordele.
- The percentage of residents identifying as two or more races is higher in Mountain home at 9%, compared to 0% in Cordele.
- In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 0% in Cordele.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cordele | Mountain home |
---|---|---|
Mental Health Not Good | 20.4% | 16.9% |
Physical Health Not Good | 16.5% | 12.6% |
Depression | 21.7% | 22.4% |
Smoking | 24.6% | 18.3% |
Binge Drinking | 11.7% | 15.8% |
Obesity | 46.6% | 36.1% |
Disability Percentage | 20.0% | 18.0% |
Health Statistics Comparison: Cordele vs Mountain home
- More residents in Cordele report poor mental health at 20.4% compared to 16.9% in Mountain home.
- Higher depression rates are seen in Mountain home at 22.4% versus 21.7% in Cordele.
- Smoking is more prevalent in Cordele at 24.6% compared to 18.3% in Mountain home.
- More residents engage in binge drinking in Mountain home at 15.8% compared to 11.7% in Cordele.
- Obesity rates are higher in Cordele at 46.6% compared to 36.1% in Mountain home.
- Disability percentages are higher in Cordele at 20.0% compared to 18.0% in Mountain home.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cordele | Mountain home |
---|---|---|
No Schooling | 0.6% (61) | 1.7% (273) |
High School Diploma | 19.4% (1,923) | 16.3% (2,690) |
Less than High School | 17.1% (1,693) | 12.8% (2,116) |
Bachelor's Degree and Higher | 8.7% (866) | 10.4% (1,720) |
Education Levels Comparison: Cordele vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 1.7% compared to 0.6% in Cordele.
- A higher percentage of residents in Cordele hold a high school diploma at 19.4% compared to 16.3% in Mountain home.
- More residents in Cordele have less than a high school education at 17.1% compared to 12.8% in Mountain home.
- In Mountain home, a larger share of residents have a bachelor's degree or higher at 10.4% 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.