Demographics details for Montgomery, AL vs Savannah, GA
Population Overview
Compare main population characteristics in Montgomery, AL vs Savannah, GA.
Data | Montgomery | Savannah |
---|---|---|
Population | 196,986 | 148,004 |
Median Age | 36.1 years | 33.5 years |
Median Income | $54,166 | $54,748 |
Married Families | 28.0% | 26.0% |
Poverty Level | 15% | 20% |
Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Montgomery vs Savannah
- In Montgomery, the population is higher at 196,986, compared to 148,004 in Savannah.
- Residents in Montgomery have a higher median age of 36.1 years compared to 33.5 years in Savannah.
- Savannah has a higher median income of $54,748, compared to $54,166 in Montgomery.
- A higher percentage of married families is found in Montgomery at 28.0% compared to 26.0% in Savannah.
- The poverty level is higher in Savannah at 20%, compared to 15% in Montgomery.
- Savannah has a higher unemployment rate at 4.2% compared to 3.2% in Montgomery.
Demographics
Demographics Montgomery vs Savannah provide insight into the diversity of the communities to compare.
Demographic | Montgomery | Savannah |
---|---|---|
Black | 64 | 53 |
White | 25 | 34 |
Asian | 4 | 3 |
Hispanic | 4 | 6 |
Two or More Races | 3 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Montgomery vs Savannah
- A higher percentage of Black residents are in Montgomery at 64% compared to 53% in Savannah.
- The percentage of White residents is higher in Savannah at 34% compared to 25% in Montgomery.
- The Asian population is larger in Montgomery at 4% compared to 3% in Savannah.
- Savannah has a higher percentage of Hispanic residents at 6%, compared to 4% in Montgomery.
- The percentage of residents identifying as two or more races is higher in Savannah at 4%, compared to 3% in Montgomery.
- The percentage of American Indian residents is the same in both Montgomery and Savannah at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Montgomery | Savannah |
---|---|---|
Mental Health Not Good | 18.8% | 17.5% |
Physical Health Not Good | 13.3% | 13.3% |
Depression | 20.2% | 19.4% |
Smoking | 18.9% | 19.7% |
Binge Drinking | 14.2% | 14.3% |
Obesity | 38.4% | 36.9% |
Disability Percentage | 17.0% | 15.0% |
Health Statistics Comparison: Montgomery vs Savannah
- More residents in Montgomery report poor mental health at 18.8% compared to 17.5% in Savannah.
- Depression is more prevalent in Montgomery at 20.2% compared to 19.4% in Savannah.
- Savannah has a higher smoking rate at 19.7% compared to 18.9% in Montgomery.
- More residents engage in binge drinking in Savannah at 14.3% compared to 14.2% in Montgomery.
- Obesity rates are higher in Montgomery at 38.4% compared to 36.9% in Savannah.
- Disability percentages are higher in Montgomery at 17.0% compared to 15.0% in Savannah.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Montgomery | Savannah |
---|---|---|
No Schooling | 0.8% (1,627) | 0.6% (853) |
High School Diploma | 14.0% (27,586) | 14.6% (21,663) |
Less than High School | 10.0% (19,602) | 8.0% (11,888) |
Bachelor's Degree and Higher | 22.1% (43,498) | 20.4% (30,130) |
Education Levels Comparison: Montgomery vs Savannah
- A higher percentage of residents in Montgomery have no formal schooling at 0.8% compared to 0.6% in Savannah.
- In Savannah, the rate of residents with high school diplomas is higher at 14.6% compared to 14.0% in Montgomery.
- More residents in Montgomery have less than a high school education at 10.0% compared to 8.0% in Savannah.
- A higher percentage of residents in Montgomery hold a bachelor's degree or higher at 22.1% compared to 20.4% in Savannah.
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.