Demographics details for Montgomery village, MD vs Wilmington, OH

Population Overview

Compare main population characteristics in Montgomery village, MD vs Wilmington, OH.

Data Montgomery village Wilmington
Population 34,748 12,656
Median Age 36.8 years 36.5 years
Median Income $91,703 $48,407
Married Families 38.0% 31.0%
Poverty Level 7% 12%
Unemployment Rate 4.2 5.2

Population Comparison: Montgomery village vs Wilmington

  • In Montgomery village, the population is higher at 34,748, compared to 12,656 in Wilmington.
  • Residents in Montgomery village have a higher median age of 36.8 years compared to 36.5 years in Wilmington.
  • Montgomery village has a higher median income of $91,703 compared to $48,407 in Wilmington.
  • A higher percentage of married families is found in Montgomery village at 38.0% compared to 31.0% in Wilmington.
  • The poverty level is higher in Wilmington at 12%, compared to 7% in Montgomery village.
  • Wilmington has a higher unemployment rate at 5.2% compared to 4.2% in Montgomery village.

Demographics

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

Demographic Montgomery village Wilmington
Black 23 5
White 19 85
Asian 13 2
Hispanic 35 3
Two or More Races 10 5
American Indian Data is updating Data is updating

Demographics Comparison: Montgomery village vs Wilmington

  • A higher percentage of Black residents are in Montgomery village at 23% compared to 5% in Wilmington.
  • The percentage of White residents is higher in Wilmington at 85% compared to 19% in Montgomery village.
  • The Asian population is larger in Montgomery village at 13% compared to 2% in Wilmington.
  • The Hispanic community is larger in Montgomery village at 35% compared to 3% in Wilmington.
  • More residents identify as two or more races in Montgomery village at 10% compared to 5% in Wilmington.
  • The percentage of American Indian residents is the same in both Montgomery village and Wilmington at 0%.

Health Statistics

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

Health Metric Montgomery village Wilmington
Mental Health Not Good 14.5% 19.1%
Physical Health Not Good 9.0% 13.1%
Depression 18.9% 25.1%
Smoking 11.3% 22.9%
Binge Drinking 12.1% 16.7%
Obesity 27.8% 43.0%
Disability Percentage 10.0% 19.0%

Health Statistics Comparison: Montgomery village vs Wilmington

  • In Wilmington, a higher percentage report poor mental health at 19.1% compared to 14.5% in Montgomery village.
  • Higher depression rates are seen in Wilmington at 25.1% versus 18.9% in Montgomery village.
  • Wilmington has a higher smoking rate at 22.9% compared to 11.3% in Montgomery village.
  • More residents engage in binge drinking in Wilmington at 16.7% compared to 12.1% in Montgomery village.
  • Wilmington has higher obesity rates at 43.0% compared to 27.8% in Montgomery village.
  • There is a higher percentage of disabled individuals in Wilmington at 19.0% 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 Wilmington
No Schooling 2.7% (955) 1.4% (171)
High School Diploma 12.2% (4,244) 21.3% (2,702)
Less than High School 14.3% (4,958) 11.0% (1,394)
Bachelor's Degree and Higher 28.9% (10,032) 13.9% (1,753)

Education Levels Comparison: Montgomery village vs Wilmington

  • A higher percentage of residents in Montgomery village have no formal schooling at 2.7% compared to 1.4% in Wilmington.
  • In Wilmington, the rate of residents with high school diplomas is higher at 21.3% compared to 12.2% in Montgomery village.
  • More residents in Montgomery village have less than a high school education at 14.3% compared to 11.0% in Wilmington.
  • A higher percentage of residents in Montgomery village hold a bachelor's degree or higher at 28.9% compared to 13.9% in Wilmington.

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.