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.