Demographics details for Old monroe, MO vs Sterling, IL

Population Overview

Compare main population characteristics in Old monroe, MO vs Sterling, IL.

Data Old monroe Sterling
Population 263 14,566
Median Age 33.0 years 43.0 years
Median Income $61,250 $49,007
Married Families 28.0% 32.0%
Poverty Level 10% 12%
Unemployment Rate 4.5 4.2

Population Comparison: Old monroe vs Sterling

  • The population in Sterling is higher at 14,566, compared to 263 in Old monroe.
  • The median age in Sterling is higher at 43.0 years, compared to 33.0 years in Old monroe.
  • Old monroe has a higher median income of $61,250 compared to $49,007 in Sterling.
  • In Sterling, the percentage of married families is higher at 32.0%, compared to 28.0% in Old monroe.
  • The poverty level is higher in Sterling at 12%, compared to 10% in Old monroe.
  • The unemployment rate in Old monroe is higher at 4.5%, compared to 4.2% in Sterling.

Demographics

Demographics Old monroe vs Sterling provide insight into the diversity of the communities to compare.

Demographic Old monroe Sterling
Black Data is updating 2
White 100 56
Asian Data is updating 2
Hispanic Data is updating 27
Two or More Races Data is updating 12
American Indian Data is updating 1

Demographics Comparison: Old monroe vs Sterling

  • In Sterling, the percentage of Black residents is higher at 2% compared to 0% in Old monroe.
  • Old monroe has a higher percentage of White residents at 100% compared to 56% in Sterling.
  • In Sterling, the Asian population stands at 2%, greater than 0% in Old monroe.
  • Sterling has a higher percentage of Hispanic residents at 27%, compared to 0% in Old monroe.
  • The percentage of residents identifying as two or more races is higher in Sterling at 12%, compared to 0% in Old monroe.
  • In Sterling, the percentage of American Indian residents is higher at 1%, compared to 0% in Old monroe.

Health Statistics

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

Health Metric Old monroe Sterling
Mental Health Not Good 18.6% 16.7%
Physical Health Not Good 13.7% 12.2%
Depression 26.0% 22.2%
Smoking 22.2% 18.6%
Binge Drinking 17.9% 17.4%
Obesity 44.3% 39.5%
Disability Percentage 13.0% 17.0%

Health Statistics Comparison: Old monroe vs Sterling

  • More residents in Old monroe report poor mental health at 18.6% compared to 16.7% in Sterling.
  • Depression is more prevalent in Old monroe at 26.0% compared to 22.2% in Sterling.
  • Smoking is more prevalent in Old monroe at 22.2% compared to 18.6% in Sterling.
  • Binge drinking is more common in Old monroe at 17.9% compared to 17.4% in Sterling.
  • Obesity rates are higher in Old monroe at 44.3% compared to 39.5% in Sterling.
  • There is a higher percentage of disabled individuals in Sterling at 17.0% compared to 13.0% in Old monroe.

Education Levels

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

Education Level Old monroe Sterling
No Schooling 0.4% (1) 1.1% (164)
High School Diploma 19.0% (50) 24.1% (3,511)
Less than High School 10.6% (28) 13.8% (2,012)
Bachelor's Degree and Higher 5.3% (14) 11.8% (1,713)

Education Levels Comparison: Old monroe vs Sterling

  • In Sterling, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Old monroe.
  • In Sterling, the rate of residents with high school diplomas is higher at 24.1% compared to 19.0% in Old monroe.
  • The percentage of residents with less than a high school education is higher in Sterling at 13.8%, compared to 10.6% in Old monroe.
  • In Sterling, a larger share of residents have a bachelor's degree or higher at 11.8% compared to 5.3% in Old monroe.

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.