Demographics details for Montgomery village, MD vs Maynard, IA

Population Overview

Compare main population characteristics in Montgomery village, MD vs Maynard, IA.

Data Montgomery village Maynard
Population 34,748 470
Median Age 36.8 years 48.6 years
Median Income $91,703 $44,091
Married Families 38.0% 41.0%
Poverty Level 7% Data is updating
Unemployment Rate 4.2 Data is updating

Population Comparison: Montgomery village vs Maynard

  • In Montgomery village, the population is higher at 34,748, compared to 470 in Maynard.
  • The median age in Maynard is higher at 48.6 years, compared to 36.8 years in Montgomery village.
  • Montgomery village has a higher median income of $91,703 compared to $44,091 in Maynard.
  • In Maynard, the percentage of married families is higher at 41.0%, compared to 38.0% in Montgomery village.
  • Montgomery village has a higher poverty level at 7% compared to 0% in Maynard.
  • The unemployment rate in Montgomery village is higher at 4.2%, compared to 0.0% in Maynard.

Demographics

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

Demographic Montgomery village Maynard
Black 23 Data is updating
White 19 96
Asian 13 Data is updating
Hispanic 35 3
Two or More Races 10 1
American Indian Data is updating Data is updating

Demographics Comparison: Montgomery village vs Maynard

  • A higher percentage of Black residents are in Montgomery village at 23% compared to 0% in Maynard.
  • The percentage of White residents is higher in Maynard at 96% compared to 19% in Montgomery village.
  • The Asian population is larger in Montgomery village at 13% compared to 0% in Maynard.
  • The Hispanic community is larger in Montgomery village at 35% compared to 3% in Maynard.
  • More residents identify as two or more races in Montgomery village at 10% compared to 1% in Maynard.
  • The percentage of American Indian residents is the same in both Montgomery village and Maynard at 0%.

Health Statistics

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

Health Metric Montgomery village Maynard
Mental Health Not Good 14.5% 15.6%
Physical Health Not Good 9.0% 9.6%
Depression 18.9% 18.9%
Smoking 11.3% 17.4%
Binge Drinking 12.1% 21.7%
Obesity 27.8% 39.7%
Disability Percentage 10.0% 11.0%

Health Statistics Comparison: Montgomery village vs Maynard

  • In Maynard, a higher percentage report poor mental health at 15.6% compared to 14.5% in Montgomery village.
  • Both cities have comparable depression rates at 18.9%.
  • Maynard has a higher smoking rate at 17.4% compared to 11.3% in Montgomery village.
  • More residents engage in binge drinking in Maynard at 21.7% compared to 12.1% in Montgomery village.
  • Maynard has higher obesity rates at 39.7% compared to 27.8% in Montgomery village.
  • There is a higher percentage of disabled individuals in Maynard at 11.0% 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 Maynard
No Schooling 2.7% (955) 0.9% (4)
High School Diploma 12.2% (4,244) 19.4% (91)
Less than High School 14.3% (4,958) 9.8% (46)
Bachelor's Degree and Higher 28.9% (10,032) 16.4% (77)

Education Levels Comparison: Montgomery village vs Maynard

  • A higher percentage of residents in Montgomery village have no formal schooling at 2.7% compared to 0.9% in Maynard.
  • In Maynard, the rate of residents with high school diplomas is higher at 19.4% compared to 12.2% in Montgomery village.
  • More residents in Montgomery village have less than a high school education at 14.3% compared to 9.8% in Maynard.
  • A higher percentage of residents in Montgomery village hold a bachelor's degree or higher at 28.9% compared to 16.4% in Maynard.

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.