Demographics details for Monrovia, MD vs Pequot lakes, MN

Population Overview

Compare main population characteristics in Monrovia, MD vs Pequot lakes, MN.

Data Monrovia Pequot lakes
Population 2,980 2,440
Median Age 38.9 years 40.5 years
Median Income $224,886 $73,125
Married Families 59.0% 41.0%
Poverty Level 2% 9%
Unemployment Rate 3.0 3.5

Population Comparison: Monrovia vs Pequot lakes

  • In Monrovia, the population is higher at 2,980, compared to 2,440 in Pequot lakes.
  • The median age in Pequot lakes is higher at 40.5 years, compared to 38.9 years in Monrovia.
  • Monrovia has a higher median income of $224,886 compared to $73,125 in Pequot lakes.
  • A higher percentage of married families is found in Monrovia at 59.0% compared to 41.0% in Pequot lakes.
  • The poverty level is higher in Pequot lakes at 9%, compared to 2% in Monrovia.
  • Pequot lakes has a higher unemployment rate at 3.5% compared to 3.0% in Monrovia.

Demographics

Demographics Monrovia vs Pequot lakes provide insight into the diversity of the communities to compare.

Demographic Monrovia Pequot lakes
Black 26 1
White 37 94
Asian 25 1
Hispanic 4 1
Two or More Races 8 2
American Indian Data is updating 1

Demographics Comparison: Monrovia vs Pequot lakes

  • A higher percentage of Black residents are in Monrovia at 26% compared to 1% in Pequot lakes.
  • The percentage of White residents is higher in Pequot lakes at 94% compared to 37% in Monrovia.
  • The Asian population is larger in Monrovia at 25% compared to 1% in Pequot lakes.
  • The Hispanic community is larger in Monrovia at 4% compared to 1% in Pequot lakes.
  • More residents identify as two or more races in Monrovia at 8% compared to 2% in Pequot lakes.
  • In Pequot lakes, the percentage of American Indian residents is higher at 1%, compared to 0% in Monrovia.

Health Statistics

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

Health Metric Monrovia Pequot lakes
Mental Health Not Good 13.9% 14.4%
Physical Health Not Good 7.3% 8.5%
Depression 19.6% 23.3%
Smoking 11.2% 15.2%
Binge Drinking 18.3% 19.4%
Obesity 31.3% 30.3%
Disability Percentage 3.0% 14.0%

Health Statistics Comparison: Monrovia vs Pequot lakes

  • In Pequot lakes, a higher percentage report poor mental health at 14.4% compared to 13.9% in Monrovia.
  • Higher depression rates are seen in Pequot lakes at 23.3% versus 19.6% in Monrovia.
  • Pequot lakes has a higher smoking rate at 15.2% compared to 11.2% in Monrovia.
  • More residents engage in binge drinking in Pequot lakes at 19.4% compared to 18.3% in Monrovia.
  • Obesity rates are higher in Monrovia at 31.3% compared to 30.3% in Pequot lakes.
  • There is a higher percentage of disabled individuals in Pequot lakes at 14.0% compared to 3.0% in Monrovia.

Education Levels

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

Education Level Monrovia Pequot lakes
No Schooling 0.6% (18) 0.7% (17)
High School Diploma 5.9% (177) 14.0% (341)
Less than High School 2.0% (60) 3.4% (84)
Bachelor's Degree and Higher 42.0% (1,253) 20.7% (504)

Education Levels Comparison: Monrovia vs Pequot lakes

  • In Pequot lakes, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Monrovia.
  • In Pequot lakes, the rate of residents with high school diplomas is higher at 14.0% compared to 5.9% in Monrovia.
  • The percentage of residents with less than a high school education is higher in Pequot lakes at 3.4%, compared to 2.0% in Monrovia.
  • A higher percentage of residents in Monrovia hold a bachelor's degree or higher at 42.0% compared to 20.7% in Pequot lakes.

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.