Demographics details for Montgomery village, MD vs Cordele, GA

Population Overview

Compare main population characteristics in Montgomery village, MD vs Cordele, GA.

Data Montgomery village Cordele
Population 34,748 9,914
Median Age 36.8 years 36.7 years
Median Income $91,703 $33,166
Married Families 38.0% 24.0%
Poverty Level 7% 20%
Unemployment Rate 4.2 4.5

Population Comparison: Montgomery village vs Cordele

  • In Montgomery village, the population is higher at 34,748, compared to 9,914 in Cordele.
  • Residents in Montgomery village have a higher median age of 36.8 years compared to 36.7 years in Cordele.
  • Montgomery village has a higher median income of $91,703 compared to $33,166 in Cordele.
  • A higher percentage of married families is found in Montgomery village at 38.0% compared to 24.0% in Cordele.
  • The poverty level is higher in Cordele at 20%, compared to 7% in Montgomery village.
  • Cordele has a higher unemployment rate at 4.5% compared to 4.2% in Montgomery village.

Demographics

Demographics Montgomery village vs Cordele provide insight into the diversity of the communities to compare.

Demographic Montgomery village Cordele
Black 23 72
White 19 26
Asian 13 Data is updating
Hispanic 35 2
Two or More Races 10 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Montgomery village vs Cordele

  • In Cordele, the percentage of Black residents is higher at 72% compared to 23% in Montgomery village.
  • The percentage of White residents is higher in Cordele at 26% compared to 19% in Montgomery village.
  • The Asian population is larger in Montgomery village at 13% compared to 0% in Cordele.
  • The Hispanic community is larger in Montgomery village at 35% compared to 2% in Cordele.
  • More residents identify as two or more races in Montgomery village at 10% compared to 0% in Cordele.
  • The percentage of American Indian residents is the same in both Montgomery village and Cordele at 0%.

Health Statistics

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

Health Metric Montgomery village Cordele
Mental Health Not Good 14.5% 20.4%
Physical Health Not Good 9.0% 16.5%
Depression 18.9% 21.7%
Smoking 11.3% 24.6%
Binge Drinking 12.1% 11.7%
Obesity 27.8% 46.6%
Disability Percentage 10.0% 20.0%

Health Statistics Comparison: Montgomery village vs Cordele

  • In Cordele, a higher percentage report poor mental health at 20.4% compared to 14.5% in Montgomery village.
  • Higher depression rates are seen in Cordele at 21.7% versus 18.9% in Montgomery village.
  • Cordele has a higher smoking rate at 24.6% compared to 11.3% in Montgomery village.
  • Binge drinking is more common in Montgomery village at 12.1% compared to 11.7% in Cordele.
  • Cordele has higher obesity rates at 46.6% compared to 27.8% in Montgomery village.
  • There is a higher percentage of disabled individuals in Cordele at 20.0% compared to 10.0% in Montgomery village.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Montgomery village Cordele
No Schooling 2.7% (955) 0.6% (61)
High School Diploma 12.2% (4,244) 19.4% (1,923)
Less than High School 14.3% (4,958) 17.1% (1,693)
Bachelor's Degree and Higher 28.9% (10,032) 8.7% (866)

Education Levels Comparison: Montgomery village vs Cordele

  • A higher percentage of residents in Montgomery village have no formal schooling at 2.7% compared to 0.6% in Cordele.
  • In Cordele, the rate of residents with high school diplomas is higher at 19.4% compared to 12.2% in Montgomery village.
  • The percentage of residents with less than a high school education is higher in Cordele at 17.1%, compared to 14.3% in Montgomery village.
  • A higher percentage of residents in Montgomery village hold a bachelor's degree or higher at 28.9% 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.