Demographics details for Montezuma, GA vs Decker, MI
Population Overview
Compare main population characteristics in Montezuma, GA vs Decker, MI.
Data | Montezuma | Decker |
---|---|---|
Population | 2,958 | 953 |
Median Age | 43.2 years | 35.1 years |
Median Income | $46,315 | $56,875 |
Married Families | 26.0% | 41.0% |
Poverty Level | 19% | 9% |
Unemployment Rate | 5.1 | 3.2 |
Population Comparison: Montezuma vs Decker
- In Montezuma, the population is higher at 2,958, compared to 953 in Decker.
- Residents in Montezuma have a higher median age of 43.2 years compared to 35.1 years in Decker.
- Decker has a higher median income of $56,875, compared to $46,315 in Montezuma.
- In Decker, the percentage of married families is higher at 41.0%, compared to 26.0% in Montezuma.
- Montezuma has a higher poverty level at 19% compared to 9% in Decker.
- The unemployment rate in Montezuma is higher at 5.1%, compared to 3.2% in Decker.
Demographics
Demographics Montezuma vs Decker provide insight into the diversity of the communities to compare.
Demographic | Montezuma | Decker |
---|---|---|
Black | 79 | 1 |
White | 15 | 98 |
Asian | 3 | Data is updating |
Hispanic | 2 | Data is updating |
Two or More Races | 1 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Montezuma vs Decker
- A higher percentage of Black residents are in Montezuma at 79% compared to 1% in Decker.
- The percentage of White residents is higher in Decker at 98% compared to 15% in Montezuma.
- The Asian population is larger in Montezuma at 3% compared to 0% in Decker.
- The Hispanic community is larger in Montezuma at 2% compared to 0% in Decker.
- Both Montezuma and Decker have the same percentage of residents identifying as two or more races at 1%.
- The percentage of American Indian residents is the same in both Montezuma and Decker at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Montezuma | Decker |
---|---|---|
Mental Health Not Good | 19.8% | Data is updating% |
Physical Health Not Good | 15.7% | Data is updating% |
Depression | 19.7% | Data is updating% |
Smoking | 23.8% | Data is updating% |
Binge Drinking | 11.9% | Data is updating% |
Obesity | 44.2% | Data is updating% |
Disability Percentage | 15.0% | 8.0% |
Health Statistics Comparison: Montezuma vs Decker
- More residents in Montezuma report poor mental health at 19.8% compared to 0.0% in Decker.
- Depression is more prevalent in Montezuma at 19.7% compared to 0.0% in Decker.
- Smoking is more prevalent in Montezuma at 23.8% compared to 0.0% in Decker.
- Binge drinking is more common in Montezuma at 11.9% compared to 0.0% in Decker.
- Obesity rates are higher in Montezuma at 44.2% compared to 0.0% in Decker.
- Disability percentages are higher in Montezuma at 15.0% compared to 8.0% in Decker.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Montezuma | Decker |
---|---|---|
No Schooling | 0.2% (7) | 0.0% (Data is updating) |
High School Diploma | 24.9% (737) | 19.9% (190) |
Less than High School | 11.3% (335) | 17.0% (162) |
Bachelor's Degree and Higher | 11.3% (333) | 6.9% (66) |
Education Levels Comparison: Montezuma vs Decker
- A higher percentage of residents in Montezuma have no formal schooling at 0.2% compared to 0.0% in Decker.
- A higher percentage of residents in Montezuma hold a high school diploma at 24.9% compared to 19.9% in Decker.
- The percentage of residents with less than a high school education is higher in Decker at 17.0%, compared to 11.3% in Montezuma.
- A higher percentage of residents in Montezuma hold a bachelor's degree or higher at 11.3% compared to 6.9% in Decker.
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.