Demographics details for Monroe center, IL vs Baltimore, MD

Population Overview

Compare main population characteristics in Monroe center, IL vs Baltimore, MD.

Data Monroe center Baltimore
Population 410 569,931
Median Age 39.6 years 36.0 years
Median Income $86,375 $58,349
Married Families 56.0% 23.0%
Poverty Level 5% 16%
Unemployment Rate 4.5 4.3

Population Comparison: Monroe center vs Baltimore

  • The population in Baltimore is higher at 569,931, compared to 410 in Monroe center.
  • Residents in Monroe center have a higher median age of 39.6 years compared to 36.0 years in Baltimore.
  • Monroe center has a higher median income of $86,375 compared to $58,349 in Baltimore.
  • A higher percentage of married families is found in Monroe center at 56.0% compared to 23.0% in Baltimore.
  • The poverty level is higher in Baltimore at 16%, compared to 5% in Monroe center.
  • The unemployment rate in Monroe center is higher at 4.5%, compared to 4.3% in Baltimore.

Demographics

Demographics Monroe center vs Baltimore provide insight into the diversity of the communities to compare.

Demographic Monroe center Baltimore
Black Data is updating 63
White 96 23
Asian Data is updating 3
Hispanic 2 6
Two or More Races 2 5
American Indian Data is updating Data is updating

Demographics Comparison: Monroe center vs Baltimore

  • In Baltimore, the percentage of Black residents is higher at 63% compared to 0% in Monroe center.
  • Monroe center has a higher percentage of White residents at 96% compared to 23% in Baltimore.
  • In Baltimore, the Asian population stands at 3%, greater than 0% in Monroe center.
  • Baltimore has a higher percentage of Hispanic residents at 6%, compared to 2% in Monroe center.
  • The percentage of residents identifying as two or more races is higher in Baltimore at 5%, compared to 2% in Monroe center.
  • The percentage of American Indian residents is the same in both Monroe center and Baltimore at 0%.

Health Statistics

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

Health Metric Monroe center Baltimore
Mental Health Not Good 16.4% 17.9%
Physical Health Not Good 10.9% 12.3%
Depression 21.7% 20.2%
Smoking 17.3% 19.8%
Binge Drinking 18.7% 15.4%
Obesity 34.5% 37.1%
Disability Percentage 16.0% 16.0%

Health Statistics Comparison: Monroe center vs Baltimore

  • In Baltimore, a higher percentage report poor mental health at 17.9% compared to 16.4% in Monroe center.
  • Depression is more prevalent in Monroe center at 21.7% compared to 20.2% in Baltimore.
  • Baltimore has a higher smoking rate at 19.8% compared to 17.3% in Monroe center.
  • Binge drinking is more common in Monroe center at 18.7% compared to 15.4% in Baltimore.
  • Baltimore has higher obesity rates at 37.1% compared to 34.5% in Monroe center.
  • Disability percentages are the same in both Monroe center and Baltimore at 16.0%.

Education Levels

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

Education Level Monroe center Baltimore
No Schooling 0.0% (Data is updating) 1.2% (6,683)
High School Diploma 20.5% (84) 16.8% (95,744)
Less than High School 7.8% (32) 11.9% (67,970)
Bachelor's Degree and Higher 17.1% (70) 25.1% (143,174)

Education Levels Comparison: Monroe center vs Baltimore

  • In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Monroe center.
  • A higher percentage of residents in Monroe center hold a high school diploma at 20.5% compared to 16.8% in Baltimore.
  • The percentage of residents with less than a high school education is higher in Baltimore at 11.9%, compared to 7.8% in Monroe center.
  • In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 17.1% in Monroe center.

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.