Demographics details for Montgomery village, MD vs Ashburn, GA

Population Overview

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

Data Montgomery village Ashburn
Population 34,748 4,174
Median Age 36.8 years 39.9 years
Median Income $91,703 $35,987
Married Families 38.0% 30.0%
Poverty Level 7% 12%
Unemployment Rate 4.2 4.5

Population Comparison: Montgomery village vs Ashburn

  • In Montgomery village, the population is higher at 34,748, compared to 4,174 in Ashburn.
  • The median age in Ashburn is higher at 39.9 years, compared to 36.8 years in Montgomery village.
  • Montgomery village has a higher median income of $91,703 compared to $35,987 in Ashburn.
  • A higher percentage of married families is found in Montgomery village at 38.0% compared to 30.0% in Ashburn.
  • The poverty level is higher in Ashburn at 12%, compared to 7% in Montgomery village.
  • Ashburn has a higher unemployment rate at 4.5% compared to 4.2% in Montgomery village.

Demographics

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

Demographic Montgomery village Ashburn
Black 23 71
White 19 22
Asian 13 Data is updating
Hispanic 35 5
Two or More Races 10 2
American Indian Data is updating Data is updating

Demographics Comparison: Montgomery village vs Ashburn

  • In Ashburn, the percentage of Black residents is higher at 71% compared to 23% in Montgomery village.
  • The percentage of White residents is higher in Ashburn at 22% compared to 19% in Montgomery village.
  • The Asian population is larger in Montgomery village at 13% compared to 0% in Ashburn.
  • The Hispanic community is larger in Montgomery village at 35% compared to 5% in Ashburn.
  • More residents identify as two or more races in Montgomery village at 10% compared to 2% in Ashburn.
  • The percentage of American Indian residents is the same in both Montgomery village and Ashburn at 0%.

Health Statistics

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

Health Metric Montgomery village Ashburn
Mental Health Not Good 14.5% 20.2%
Physical Health Not Good 9.0% 16.1%
Depression 18.9% 21.2%
Smoking 11.3% 24.2%
Binge Drinking 12.1% 12.1%
Obesity 27.8% 43.3%
Disability Percentage 10.0% 18.0%

Health Statistics Comparison: Montgomery village vs Ashburn

  • In Ashburn, a higher percentage report poor mental health at 20.2% compared to 14.5% in Montgomery village.
  • Higher depression rates are seen in Ashburn at 21.2% versus 18.9% in Montgomery village.
  • Ashburn has a higher smoking rate at 24.2% compared to 11.3% in Montgomery village.
  • Binge drinking rates are similar in both Montgomery village and Ashburn at 12.1%.
  • Ashburn has higher obesity rates at 43.3% compared to 27.8% in Montgomery village.
  • There is a higher percentage of disabled individuals in Ashburn at 18.0% 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 Ashburn
No Schooling 2.7% (955) 0.2% (8)
High School Diploma 12.2% (4,244) 19.0% (791)
Less than High School 14.3% (4,958) 21.0% (875)
Bachelor's Degree and Higher 28.9% (10,032) 7.3% (304)

Education Levels Comparison: Montgomery village vs Ashburn

  • A higher percentage of residents in Montgomery village have no formal schooling at 2.7% compared to 0.2% in Ashburn.
  • In Ashburn, the rate of residents with high school diplomas is higher at 19.0% compared to 12.2% in Montgomery village.
  • The percentage of residents with less than a high school education is higher in Ashburn at 21.0%, 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 7.3% in Ashburn.

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.