Demographics details for Montgomery village, MD vs Lawrence, KS

Population Overview

Compare main population characteristics in Montgomery village, MD vs Lawrence, KS.

Data Montgomery village Lawrence
Population 34,748 95,794
Median Age 36.8 years 28.8 years
Median Income $91,703 $59,834
Married Families 38.0% 32.0%
Poverty Level 7% 12%
Unemployment Rate 4.2 3.9

Population Comparison: Montgomery village vs Lawrence

  • The population in Lawrence is higher at 95,794, compared to 34,748 in Montgomery village.
  • Residents in Montgomery village have a higher median age of 36.8 years compared to 28.8 years in Lawrence.
  • Montgomery village has a higher median income of $91,703 compared to $59,834 in Lawrence.
  • A higher percentage of married families is found in Montgomery village at 38.0% compared to 32.0% in Lawrence.
  • The poverty level is higher in Lawrence at 12%, compared to 7% in Montgomery village.
  • The unemployment rate in Montgomery village is higher at 4.2%, compared to 3.9% in Lawrence.

Demographics

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

Demographic Montgomery village Lawrence
Black 23 5
White 19 71
Asian 13 6
Hispanic 35 7
Two or More Races 10 9
American Indian Data is updating 2

Demographics Comparison: Montgomery village vs Lawrence

  • A higher percentage of Black residents are in Montgomery village at 23% compared to 5% in Lawrence.
  • The percentage of White residents is higher in Lawrence at 71% compared to 19% in Montgomery village.
  • The Asian population is larger in Montgomery village at 13% compared to 6% in Lawrence.
  • The Hispanic community is larger in Montgomery village at 35% compared to 7% in Lawrence.
  • More residents identify as two or more races in Montgomery village at 10% compared to 9% in Lawrence.
  • In Lawrence, the percentage of American Indian residents is higher at 2%, compared to 0% in Montgomery village.

Health Statistics

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

Health Metric Montgomery village Lawrence
Mental Health Not Good 14.5% 16.5%
Physical Health Not Good 9.0% 9.5%
Depression 18.9% 22.3%
Smoking 11.3% 14.8%
Binge Drinking 12.1% 19.6%
Obesity 27.8% 32.8%
Disability Percentage 10.0% 10.0%

Health Statistics Comparison: Montgomery village vs Lawrence

  • In Lawrence, a higher percentage report poor mental health at 16.5% compared to 14.5% in Montgomery village.
  • Higher depression rates are seen in Lawrence at 22.3% versus 18.9% in Montgomery village.
  • Lawrence has a higher smoking rate at 14.8% compared to 11.3% in Montgomery village.
  • More residents engage in binge drinking in Lawrence at 19.6% compared to 12.1% in Montgomery village.
  • Lawrence has higher obesity rates at 32.8% compared to 27.8% in Montgomery village.
  • Disability percentages are the same in both Montgomery village and Lawrence at 10.0%.

Education Levels

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

Education Level Montgomery village Lawrence
No Schooling 2.7% (955) 0.5% (466)
High School Diploma 12.2% (4,244) 8.2% (7,882)
Less than High School 14.3% (4,958) 4.0% (3,784)
Bachelor's Degree and Higher 28.9% (10,032) 31.1% (29,776)

Education Levels Comparison: Montgomery village vs Lawrence

  • A higher percentage of residents in Montgomery village have no formal schooling at 2.7% compared to 0.5% in Lawrence.
  • A higher percentage of residents in Montgomery village hold a high school diploma at 12.2% compared to 8.2% in Lawrence.
  • More residents in Montgomery village have less than a high school education at 14.3% compared to 4.0% in Lawrence.
  • In Lawrence, a larger share of residents have a bachelor's degree or higher at 31.1% compared to 28.9% in Montgomery village.

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.