Demographics details for Savannah, GA vs Mountain grove, MO

Population Overview

Compare main population characteristics in Savannah, GA vs Mountain grove, MO.

Data Savannah Mountain grove
Population 148,004 4,551
Median Age 33.5 years 42.3 years
Median Income $54,748 $38,103
Married Families 26.0% 35.0%
Poverty Level 20% 15%
Unemployment Rate 4.2 4.5

Population Comparison: Savannah vs Mountain grove

  • In Savannah, the population is higher at 148,004, compared to 4,551 in Mountain grove.
  • The median age in Mountain grove is higher at 42.3 years, compared to 33.5 years in Savannah.
  • Savannah has a higher median income of $54,748 compared to $38,103 in Mountain grove.
  • In Mountain grove, the percentage of married families is higher at 35.0%, compared to 26.0% in Savannah.
  • Savannah has a higher poverty level at 20% compared to 15% in Mountain grove.
  • Mountain grove has a higher unemployment rate at 4.5% compared to 4.2% in Savannah.

Demographics

Demographics Savannah vs Mountain grove provide insight into the diversity of the communities to compare.

Demographic Savannah Mountain grove
Black 53 Data is updating
White 34 89
Asian 3 1
Hispanic 6 2
Two or More Races 4 8
American Indian Data is updating Data is updating

Demographics Comparison: Savannah vs Mountain grove

  • A higher percentage of Black residents are in Savannah at 53% compared to 0% in Mountain grove.
  • The percentage of White residents is higher in Mountain grove at 89% compared to 34% in Savannah.
  • The Asian population is larger in Savannah at 3% compared to 1% in Mountain grove.
  • The Hispanic community is larger in Savannah at 6% compared to 2% in Mountain grove.
  • The percentage of residents identifying as two or more races is higher in Mountain grove at 8%, compared to 4% in Savannah.
  • The percentage of American Indian residents is the same in both Savannah and Mountain grove at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Savannah Mountain grove
Mental Health Not Good 17.5% 22.5%
Physical Health Not Good 13.3% 18.1%
Depression 19.4% 28.4%
Smoking 19.7% 31.2%
Binge Drinking 14.3% 14.8%
Obesity 36.9% 44.6%
Disability Percentage 15.0% 24.0%

Health Statistics Comparison: Savannah vs Mountain grove

  • In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 17.5% in Savannah.
  • Higher depression rates are seen in Mountain grove at 28.4% versus 19.4% in Savannah.
  • Mountain grove has a higher smoking rate at 31.2% compared to 19.7% in Savannah.
  • More residents engage in binge drinking in Mountain grove at 14.8% compared to 14.3% in Savannah.
  • Mountain grove has higher obesity rates at 44.6% compared to 36.9% in Savannah.
  • There is a higher percentage of disabled individuals in Mountain grove at 24.0% 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 Savannah Mountain grove
No Schooling 0.6% (853) 0.6% (26)
High School Diploma 14.6% (21,663) 27.6% (1,256)
Less than High School 8.0% (11,888) 23.2% (1,057)
Bachelor's Degree and Higher 20.4% (30,130) 8.8% (400)

Education Levels Comparison: Savannah vs Mountain grove

  • The percentage of residents with no formal schooling is the same in both Savannah and Mountain grove at 0.6%.
  • In Mountain grove, the rate of residents with high school diplomas is higher at 27.6% compared to 14.6% in Savannah.
  • The percentage of residents with less than a high school education is higher in Mountain grove at 23.2%, compared to 8.0% in Savannah.
  • A higher percentage of residents in Savannah hold a bachelor's degree or higher at 20.4% compared to 8.8% in Mountain grove.

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.