Demographics details for Montgomery village, MD vs Grayling, MI

Population Overview

Compare main population characteristics in Montgomery village, MD vs Grayling, MI.

Data Montgomery village Grayling
Population 34,748 1,917
Median Age 36.8 years 48.8 years
Median Income $91,703 $30,417
Married Families 38.0% 26.0%
Poverty Level 7% 16%
Unemployment Rate 4.2 3.5

Population Comparison: Montgomery village vs Grayling

  • In Montgomery village, the population is higher at 34,748, compared to 1,917 in Grayling.
  • The median age in Grayling is higher at 48.8 years, compared to 36.8 years in Montgomery village.
  • Montgomery village has a higher median income of $91,703 compared to $30,417 in Grayling.
  • A higher percentage of married families is found in Montgomery village at 38.0% compared to 26.0% in Grayling.
  • The poverty level is higher in Grayling at 16%, compared to 7% in Montgomery village.
  • The unemployment rate in Montgomery village is higher at 4.2%, compared to 3.5% in Grayling.

Demographics

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

Demographic Montgomery village Grayling
Black 23 1
White 19 88
Asian 13 1
Hispanic 35 7
Two or More Races 10 3
American Indian Data is updating Data is updating

Demographics Comparison: Montgomery village vs Grayling

  • A higher percentage of Black residents are in Montgomery village at 23% compared to 1% in Grayling.
  • The percentage of White residents is higher in Grayling at 88% compared to 19% in Montgomery village.
  • The Asian population is larger in Montgomery village at 13% compared to 1% in Grayling.
  • The Hispanic community is larger in Montgomery village at 35% compared to 7% in Grayling.
  • More residents identify as two or more races in Montgomery village at 10% compared to 3% in Grayling.
  • The percentage of American Indian residents is the same in both Montgomery village and Grayling at 0%.

Health Statistics

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

Health Metric Montgomery village Grayling
Mental Health Not Good 14.5% 18.0%
Physical Health Not Good 9.0% 11.7%
Depression 18.9% 26.4%
Smoking 11.3% 19.3%
Binge Drinking 12.1% 19.0%
Obesity 27.8% 37.4%
Disability Percentage 10.0% 22.0%

Health Statistics Comparison: Montgomery village vs Grayling

  • In Grayling, a higher percentage report poor mental health at 18.0% compared to 14.5% in Montgomery village.
  • Higher depression rates are seen in Grayling at 26.4% versus 18.9% in Montgomery village.
  • Grayling has a higher smoking rate at 19.3% compared to 11.3% in Montgomery village.
  • More residents engage in binge drinking in Grayling at 19.0% compared to 12.1% in Montgomery village.
  • Grayling has higher obesity rates at 37.4% compared to 27.8% in Montgomery village.
  • There is a higher percentage of disabled individuals in Grayling at 22.0% 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 Grayling
No Schooling 2.7% (955) 0.7% (13)
High School Diploma 12.2% (4,244) 17.3% (332)
Less than High School 14.3% (4,958) 18.2% (348)
Bachelor's Degree and Higher 28.9% (10,032) 10.3% (197)

Education Levels Comparison: Montgomery village vs Grayling

  • A higher percentage of residents in Montgomery village have no formal schooling at 2.7% compared to 0.7% in Grayling.
  • In Grayling, the rate of residents with high school diplomas is higher at 17.3% compared to 12.2% in Montgomery village.
  • The percentage of residents with less than a high school education is higher in Grayling at 18.2%, 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 10.3% in Grayling.

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.